MRI Screening Research Articles

Surgical treatment of intracapsular temporomandibular disorders.

Temporomandibular joint (TMJ) pathologies are prevalent, affecting approximately 40% of the worldwide population, with nearly 80% involving intracapsular disorders. Despite this, standardized treatment protocols are lacking. This study aimed to compare the efficacy of conservative and surgical approaches in managing intracapsular TMJ disorders. Eighty-six patients diagnosed with intracapsular TMJ disorders were included in the study, with 40 males and 46 females, averaging 52.4 ± 4.7 years. Patients were recruited from polyclinics in Beijing, China (n = 36), and Kyiv, Ukraine (n = 50). A comprehensive examination protocol was conducted, including assessment of patient complaints, medical history, jaw mobility measurements, TMJ palpation, and magnetic resonance imaging (MRI) screening. The main outcomes of our study revealed significant improvements in patients undergoing surgical intervention for intracapsular TMJ disorders, particularly in cases of disc displacement. Conservative mouth guard/occlusal splint treatment showed limited effectiveness, primarily improving joint effusion and disc displacement. Surgical intervention led to notable enhancements in various TMJ parameters, with significant improvements observed in joint function and pain reduction. Based on these findings, orthodontic rehabilitation was recommended to ensure long-term efficacy, focusing on optimizing occlusion and restoring TMJ function. These results highlight the importance of tailored treatment approaches for managing intracapsular TMJ disorders, emphasizing the role of surgical intervention coupled with comprehensive rehabilitation strategies. Future research should consider demographic factors and explore innovative examination methods, such as optical systems, to enhance understanding and management of intracapsular TMJ disorders.

Why don't all women with extremely dense breasts want MRI screening?

Why don't all women with extremely dense breasts want MRI screening?

Abstract PO2-27-09: Clinical impact of routine MRI screening for brain metastases in patients with HER2 positive or triple negative metastatic breast cancer

Abstract Background: Routine screening for brain metastases (BMs) is currently not recommended in patients with metastatic breast cancer (BC). There is a growing consensus on the need for the screening of BMs in HER2 positive and triple negative breast cancer (TNBC) because 40% of patients experience BMs throughout the disease course and systemic treatment options with intracranial efficacy are now available. However, there is a lack of prospective study data on this matter. We conducted a prospective cohort study to evaluate the role of brain MRI screening for the patient with metastatic BC. Methods: Patients who newly diagnosed metastatic HER2+ or TNBC were eligible. Screening brain MRI was planned at diagnosis and failure from first line and second line of systemic therapy. All patients underwent complete physical examination and comprehensive neurologic assessment at baseline and thereafter. Patients who diagnosed symptomatic BMs were dropped from the study and subsequent treatment including local therapies and survival data were collected. Primary endpoint was the percentage of patients diagnosed with asymptomatic BMs. Results: A total of 147 patients were enrolled between Sep 2018 and Aug 2023 at Yonsei Cancer Center. The median age was 51 years (range, 29-80) and most patients (92.5%, n=136) had good performance status (ECOG 0-1). The tumor subtypes were as follows: TNBC, 51.0%; HER2 (ER-, HER2+), 29.3%; luminal-HER2 (ER+, HER2+), 19.7%. The cumulative incidence of asymptomatic BMs was 20.4% for overall patients; 24.0% for TNBC (18/75), 14.0% for HER2 (6/43), and 20.7% for luminal HER2 (6/29). Symptomatic detection of BMs during study period was 14.7% for TNBC, 18.6% for HER2, and 6.9% for luminal-HER2. Initial local treatment was stereotactic radiosurgery in 30 patients (58.8%), whole-brain radiation therapy in 14 patients (27.5%), surgical resection in 2 patients (3.9%) and 6 patients (11.8%) did not receive any treatment for BMs. After a median follow-up of 20.1 months, the median overall survival following a diagnosis of BMs was 23.7 vs 7.3 months (hazard ratio 0.41; 95% CI, 0.17 to 0.95; P = .04) in patients with asymptomatic and symptomatic BMs, respectively. Conclusions: We identified approximately 20% of patients with HER2+ or TNBC as asymptomatic BMs. Emerging systemic therapies showed promising intracranial response would warrant the detection of asymptomatic BMs through routine MRI screening. Incidence of brain metastases by subtypes Citation Format: Gun Min Kim, Joo Hyuk Sohn, Min Hwan Kim, Seul-Gi Kim, Hyung Soon Park, Jong Hee Jang, Yong Bae Kim, Seung-koo Lee. Clinical impact of routine MRI screening for brain metastases in patients with HER2 positive or triple negative metastatic breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-27-09.

Abstract PO4-08-07: Background parenchymal enhancement (BPE) on breast magnetic resonance imaging as a biomarker of breast cancer risk among BRCA1/2 carriers

Abstract Introduction: BRCA1/2 carriers are recommended to undergo dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) screening of the breasts annually. Fibroglandular tissue (FGT) may enhance with MRI contrast agent termed background parenchymal enhancement (BPE). BPE is believed to be a marker of hormonally responsive breast tissue, as BPE is impacted by aromatase inhibition and by oophorectomy. BPE has been shown to be more strongly associated with breast cancer risk than breast density. We hypothesize that BPE may serve as a useful dynamic marker of breast cancer risk among BRCA1/2 mutation carriers, given their frequent MRI screening. Methods: We identified female BRCA1/2 carriers from the University of Pennsylvania Cancer Risk Evaluation Program with no personal history of breast or ovarian cancer at the time of breast MRI. Patients diagnosed within 6 months were excluded to remove prevalent cancer cases at MRI. Among 421 eligible patients, 42 were diagnosed with breast cancer. BPE was quantified from all available breast MRIs using a validated, fully automated method to segment fibroglandular tissue (FGT) and quantify BPE. For preprocessing, the N4ITK algorithm was used for bias-field artifact correction and FGT was segmented using a soft-margin support vector machine classifier using the T1-weighted nonfat-saturated breast MRI. FGT was segmented and quantified in 3D. For BPE quantification, the T1-weighted nonfat-saturated image and the derived FGT mask were registered to the pre-contrast DCE-MRI. The first post contrast DCE-MRI and FGT mask were used to compute the relative enhancement map compared to the pre-contrast image. We calculated BPE metrics in two ways. First, the median BPE enhancement was calculated as the median enhancement of all voxels within the FGT mask. Second the BPE enhancement ratio was calculated as the proportion of voxels enhancing at ≥20%. We performed Cox proportional hazards regression to estimate the hazard ratios for breast cancer per standard deviation unit increase in each BPE metric, with first MRI as the time origin and censoring upon bilateral mastectomy, ovarian cancer diagnosis, death, or loss to follow-up and adjustment for age at MRI, menopause status, volumetric breast density (VBD), body mass index (BMI), and BRCA1 vs. BRCA2 mutation. BPE, VBD, BMI, and menstrual status were included as time varying covariates, enabling inclusion of multiple BPE measurements per woman. Results: The mean age at first MRI was 39 for cases and 41 for non-cases, and the mean number of MRIs was 4. There were no significant differences in median BPE (14% vs. 14%, p=0.965) or BPE ratio (34% vs. 36%, p=0.769) between cases and non-cases. In regression analyses adjusted for age and menstrual status, median BPE was significantly associated with breast cancer risk (HR=1.12, p=0.025). The HR was similar in the fully adjusted model, though did not reach statistical significance (HR=1.11, p=0.055). Higher BPE ratio was significantly associated with increased breast cancer risk in both minimally (HR=1.21, p=0.005) and fully adjusted models (HR=1.21, p=0.012). Conclusions: Our results suggest that BPE is significantly associated with breast cancer diagnosis among BRCA1/2 carriers undergoing breast MRI screening. Both median BPE and BPE ratio metrics were associated with breast cancer risk, even after adjusting for breast density and when accounting for multiple measurements of BPE over time, suggesting that BPE may provide additional risk information for BRCA1/2 carriers. Table 1: Results of Cox proportional hazards regression with time varying covariates Citation Format: Anne Marie McCarthy, Alex Anh-Tu Nguyen, Walter Mankowski, Eric Cohen, Sarah Ehsan, Rhonda Gillette, Lauren Pantalone, Susan Weinstein, Emily Conant, Susan Domchek, Despina Kontos. Background parenchymal enhancement (BPE) on breast magnetic resonance imaging as a biomarker of breast cancer risk among BRCA1/2 carriers [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-08-07.

Abstract PO3-07-11: Concordance between abbreviated and complete magnetic resonance protocols for screening woman at moderate and high risk for breast cancer

Abstract Introduction: Patients at high risk for developing breast cancer are potential beneficiaries of personalized screening strategies. Breast magnetic resonance imaging (MRI) has shown high sensitivity, but its broader use remains constrained by issues such as high cost and long examination time. The abbreviated magnetic resonance protocol is presented as an alternative to overcome these challenges. Our primary outcome was to evaluate the concordance of the final report between full and abbreviated protocols. Secondary outcomes included the acquisition and reading time of images from the abbreviated protocol. Methods: A cross-sectional study was conducted on asymptomatic women at moderate and high risk for breast cancer who underwent the full MRI screening protocol in private health institutions in the city of Belo Horizonte, Brazil. The abbreviated protocol was derived from the full protocol by the computer through selection of specific sequences. Each image was independently blind read, and assigned a category from the Breast Imaging - Reporting and Data System (BI-RADS) by at least two examiners. The results were then compared using the Cohen's kappa and Intraclass Correlation Coefficients. Results: The study included 170 women, and a concordance rate of 96,9% was found for the reported BI-RADS category between protocols in this population. A 21-minute reduction was observed in examination time for the abbreviated protocol. Conclusion: The significant concordance between protocols indicates that despite the reduction in acquisition time, number of acquired images, and method's complexity, the abbreviated MRI protocol meets most screening demands. It is, therefore, a viable alternative for cost reduction and improving patients tolerability for the studied population. Table 1. Clinical characteristics of the study population Absolute and percentage data about age, personal risk for breast cancer, family history, and previous genetic testing in the study population. Table 2. Concordance analysis between abbreviated and complete MRI protocols based on the ACR-BIRADS classification - Coen Kappa and Intraclass Correlation Coefficient The Kappa value of 0.9687 (95% CI 0.9426 - 0.9949, p < 0.01) indicates almost perfect concordance between the two protocols. The intraclass correlation coefficient of 0.982 (95% CI 0.97 - 0.987, p < 0.01), also indicates excellent concordance using the two-way random effect models criteria. Citation Format: Mariana Mitraud Ottoni Guedes, Agnaldo Lopes da Silva Filho, Thais Paiva Moraes, Adriene Moraes Campos, Ivie Braga de Paula, Felipe Marcondes de Oliveira Coelho, Barbara Silveira Santana, Bertha Andrade Coelho, Maria Fernanda Sperotto Valadares Gontijo, Leticia Martins De Araujo Campos Linhares, Anna Dias Salvador, Waldeir José de Almeida Junior, José Tadeu Campos de Avelar. Concordance between abbreviated and complete magnetic resonance protocols for screening woman at moderate and high risk for breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-07-11.

Abstract PO3-27-09: A Multidisciplinary Telehealth Approach to Breast Cancer Prevention in a Veteran Population

Abstract INTRODUCTION An estimated 13% of women will be diagnosed with breast cancer at some point in their lifetime. There are non-modifiable and modifiable risk factors including family history, genetics, obesity, and estrogen exposure. Interventions that reduce breast cancer risk and/or mortality include screening, chemoprevention, and lifestyle modification. A recent national survey shows that there are significant gaps in providing breast cancer prevention care for female Veterans. We describe the creation of a multi-disciplinary telehealth clinic aimed at reducing breast cancer risk in a high-risk female Veteran population. METHODS The breast cancer prevention clinic (BCPC) team consists of a medical oncologist, geneticist, genetic counselor, dietician, psychologist, and nurse navigator. High risk women are identified through a combination of screening questionnaires at annual mammography and genetics or primary care provider (PCP) evaluation, then referred to the clinic. Criteria for referral include age >=35, Gail 5 year risk >= 1.7%, Tyrer-Cuzick 10 year risk >= 5%, or history of thoracic radiation. At the BCPC telehealth visit, the medical oncologist makes individualized recommendations about chemoprevention by discussing the risks and possible complications of therapy. Use of screening magnetic resonance imaging (MRI) is also recommended to women with lifetime Tyrer-Cuzick score > 20%. Within the same visit, patients meet with a dietician to discuss nutrition modification, and a psychologist to address psychosocial barriers to lifestyle change. Those who start chemoprevention attend a 3 month follow-up with a nurse navigator to discuss tolerability and side effects. Subsequently, the patient’s PCP becomes responsible for management of chemoprevention and annual breast MRI. RESULTS Between January and December 2022, 33 patients were seen in BCPC. Patients had an average age of 52 years (range 42-70), Gail 5-year score of 2.53%, Tyrer-Cuzick 10-year score of 6.65%, and Tyrer-Cuzick lifetime score of 21.5%. Thirteen patients (39.4%) started chemoprevention, the majority of which were selective estrogen receptor modulators (SERM). Nine reported starting the medication at the 3 month follow-up appointment. The most reported side effect was hot flashes in 67%, although only the majority had mild symptoms. Three reported weight gain and one reported vaginal dryness. None reported worsening arthralgia or fatigue. Despite the low incidence of severe symptoms, only 3 continued to fill the medication at the time of chart review in August 2023. Twenty (60.6%) patients did not initiate chemoprevention. Four (20%) did not qualify due to cardiovascular or thrombotic risk factors, and three (15%) did not qualify due to concurrent use of hormone replacement therapy. Two (10%) elected not to start chemoprevention because they were planning for risk reducing mastectomies. Eleven (55%) did not initiate chemoprevention due to patient preferences and concern for side effects. Twenty-eight patients were recommended to obtain breast MRI in addition to mammogram for yearly screening. At time of chart review, 15 had at least one screening breast MRI ordered by PCP after BCPC visit, with 10 MRIs performed. CONCLUSIONS The unique interdisciplinary model of our breast cancer prevention clinic allows for a comprehensive and personalized evaluation for high-risk female Veterans on interventions to reduce their breast cancer risk. However, the current model does not ensure long-term compliance with these interventions. Studies have shown that more frequent/short-term follow up may improve compliance with endocrine therapies. Future directions include clinic expansion and providing additional follow-up with the multidisciplinary team to promote continued adherence to BCPC interventions. Citation Format: Hanqing Shang, Sarah Ansari, Shweta Dhar, Mahdieh Irranejadparizi, Stacey Edwards, Jessica Honkomp, Meagan Siehr, Bethany Aiena, Mary Nikityn, Diana Bearden, Deleene Menefee, Sita Bushan. A Multidisciplinary Telehealth Approach to Breast Cancer Prevention in a Veteran Population [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-27-09.

Abstract PO3-19-03: Addressing USPSTF 2023 Identified Key Gaps in Knowledge in Breast Cancer Screening through TMIST (ECOG-ACRIN EA1151) or its Ancillary Studies

Abstract Background The United States Preventative Services Task Force in their 2023 recommendations identified areas where more research data is needed to inform future breast cancer screening recommendations. Research areas identified are: improve clinicians and patients understanding and evaluation of dense breast tissue on a screening mammogram, benefits and harms of supplemental screening using ultrasound or MRI for women with dense breasts, health outcomes such as rates of breast cancer diagnosis requiring treatment, rates of advanced breast cancers diagnosed across consecutive screening rounds, and breast cancer-associated morbidity and mortality, causes of increased risk of breast cancer mortality in black women across spectrum of stages and biomarker patterns, understand why black women are more likely to be diagnosed with breast cancers that have biomarker patterns that are indicative of poor health outcomes, assess benefits/harms differences between annual and biennial screening for breast cancer in women overall and if there are differences between black and white women, approaches to reduce the risk of overdiagnosis leading to overtreatment of breast lesions found at screening that may not cause morbidity and mortality, natural history of DCIS, and identify prognostic indicators of breast tumors that are unlikely to affect quality or length of life. Methods The ongoing TMIST study, currently with 88,801 asymptomatic women presenting for screening mammography ages 45-74 enrolled out of 128,905, could contribute to scientific evidence to support the above research areas through existing study aims and planned ancillary studies. Supplemental Screening with US and MRI: TMIST PreSCRIB will utilize Machine Learning applied to TMIST and All of Us data, including genetics, mammograms, social determinates of health and other data to recommend individualized screening strategies for women. DxMRI is a study where women will get AbMRI at time of Dx work-up. There are plans to use these examinations plus supplemental screening MRIs performed on TMIST subjects in an enriched reader study to evaluate the role of supplemental screening MRI in moderate risk women. Rates of breast cancer treatment, consecutive screening, morbidity, and mortality: TMIST’s primary outcome is the proportion of women experiencing an advanced breast cancer and needing treatment. TMIST is also collecting information on health care utilization following a cancer diagnosis, including types of treatment given, and costs data from the screening and diagnostic work-up visits, and mortality data for study participants. Increased risk of breast cancer mortality in black women: TMIST is performing PAM50 plus p53 status, immune profile, DNA repair phenotype, and 21-gene recurrence assay on all breast cancers and a subset of benign tissue. Blood and buccal smears might also help address this issue. Ongoing work, funded by the Susan B. Komen Foundation, focuses on improving Black participation in TMIST Biorepository (currently about 45% participation of the 21% of TMIST US black subjects). Surveys are planned on perceived racism and social determinates of health as part of DxMRI Study. Screening Frequency: We are developing a collaboration with the UK-based clinical trial PROSPECTS to compare rates of all cancers and advanced cancers for annual, biennial, and 3-year screening. Overdiagnosis, natural history of DCIS, prognostic indicators of breast tumors not impacting quality of life: PRoGram- will use radiomics, genomics and pathomics to develop a greater understanding of the variability of the non-advanced cancers diagnosed in the TMIST population, including DCIS. It is hoped that this model will provide greater understanding of the risk of poor outcomes for women diagnosed with lower risk cancers, including DCIS. Citation Format: Etta Pisano, Constantine Gatsonis, Mitchell Schnall, Melissa Troester, Elodia Cole, Jean Cormack, Ilana Gareen, Martin Yaffe, Laura Collins, Amarinthia Curtis, Ruth Carlos, Kathy Miller, Christopher Comstock. Addressing USPSTF 2023 Identified Key Gaps in Knowledge in Breast Cancer Screening through TMIST (ECOG-ACRIN EA1151) or its Ancillary Studies [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-19-03.

Pathogenic BRCA Variants in the Ashkenazi Jewish Population: A Retrospective Study [ID 2683559

INTRODUCTION: Pathogenic variants in BRCA genes (BRCA-PV) increase risk for cancers. Established guidelines for BRCA-PV risk reduction include surveillance, chemoprevention, and surgery. Ashkenazi Jews (AJ) have increased prevalence of BRCA-PVs versus the general population: 1/40 versus 1/160. Population testing of AJs, testing based on ancestry alone, identifies more BRCA-PV carriers than testing based on family history. METHODS: Charts of 683 AJ patients tested in a gynecology office for BRCA-PVs between January 1, 2017, and June 30, 2020, were retrospectively reviewed for BRCA-PV status, history, and clinical management. Findings were compared to 2017 National Comprehensive Cancer Network (NCCN) guidelines, current at time of testing. Patients were appropriately counseled for clinical management. RESULTS: Six hundred eighty-three AJs, mean age 51.0±13.5 years, were tested for BRCA-PVs: 14 tested positive (2%), mean age 41.6±14.16; 13/14 (93%) were female. Of patients with PV, 6 (43%) patients did not qualify for screening based on 2017 guidelines. Of positive female patients, 7 (54%) chose risk-reducing bilateral salpingo-oophorectomy (rrBSO), 4 (31%) chose mastectomy, 3 (21%) chose in vitro fertilization with wild-type embryos. One patient was found to have invasive serous tubal cancer at rrBSO; another with ER− breast cancer with first screening MRI. CONCLUSION: Our study confirms increased BRCA-PV prevalence amongst AJs. Over half of individuals tested did not meet 2017 NCCN criteria, including two positive patients diagnosed with cancer—indicating that 2017 criteria did not capture at-risk individuals. Updated guidelines recommending BRCA-PV testing of AJs must be implemented to identify actionable PVs and initiate cancer prevention strategies.

Quantitative assessment of background parenchymal enhancement is associated with lifetime breast cancer risk in screening MRI

ObjectivesTo compare the quantitative background parenchymal enhancement (BPE) in women with different lifetime risks and BRCA mutation status of breast cancer using screening MRI.Materials and methodsThis study included screening MRI of 535 women divided into three groups based on lifetime risk: nonhigh-risk women, high-risk women without BRCA mutation, and BRCA1/2 mutation carriers. Six quantitative BPE measurements, including percent enhancement (PE) and signal enhancement ratio (SER), were calculated on DCE-MRI after segmentation of the whole breast and fibroglandular tissue (FGT). The associations between lifetime risk factors and BPE were analyzed via linear regression analysis. We adjusted for risk factors influencing BPE using propensity score matching (PSM) and compared the BPE between different groups. A two-sided Mann–Whitney U-test was used to compare the BPE with a threshold of 0.1 for multiple testing issue-adjusted p values.ResultsAge, BMI, menopausal status, and FGT level were significantly correlated with quantitative BPE based on the univariate and multivariable linear regression analyses. After adjusting for age, BMI, menopausal status, hormonal treatment history, and FGT level using PSM, significant differences were observed between high-risk non-BRCA and BRCA groups in PEFGT (11.5 vs. 8.0%, adjusted p = 0.018) and SERFGT (7.2 vs. 9.3%, adjusted p = 0.066).ConclusionQuantitative BPE varies in women with different lifetime breast cancer risks and BRCA mutation status. These differences may be due to the influence of multiple lifetime risk factors. Quantitative BPE differences remained between groups with and without BRCA mutations after adjusting for known risk factors associated with BPE.Clinical relevance statementBRCA germline mutations may be associated with quantitative background parenchymal enhancement, excluding the effects of known confounding factors. This finding can provide potential insights into the cancer pathophysiological mechanisms behind lifetime risk models.Key PointsExpanding understanding of breast cancer pathophysiology allows for improved risk stratification and optimized screening protocols.Quantitative BPE is significantly associated with lifetime risk factors and differs between BRCA mutation carriers and noncarriers.This research offers a possible understanding of the physiological mechanisms underlying quantitative BPE and BRCA germline mutations.

Cancer detection rate of breast-MR in supplemental screening after negative mammography in women with dense breasts. Preliminary results of the MA-DETECT-Study after 200 participants

BACKGROUNDDue to increased cancer detection rates (CDR), breast MR (breast MRI) can reduce underdiagnosis of breast cancer compared to conventional imaging techniques, particularly in women with dense breasts. The purpose of this study is to report the additional breast cancer yield by breast MRI in women with dense breasts after receiving a negative screening mammogram. METHODSFor this study we invited consecutive participants of the national German breast cancer Screening program with breast density categories ACR C & D and a negative mammogram to undergo additional screening by breast MRI. Endpoints were CDR and recall rates. This study reports interim results in the first 200 patients. At a power of 80% and considering an alpha error of 5%, this preliminary population size is sufficient to demonstrate a 4/1000 improvement in CDR. RESULTSIn 200 screening participants, 8 women (40/1000, 17.4–77.3/1000) were recalled due to positive breast MRI findings. Image-guided biopsy revealed 5 cancers in 4 patients (one bilateral), comprising four invasive cancers and one case of DCIS. 3 patients revealed 4 invasive cancers presenting with ACR C breast density and one patient non-calcifying DCIS in a woman with ACR D breast density, resulting in a CDR of 20/1000 (95%-CI 5.5–50.4/1000) and a PPV of 50% (95%-CI 15.7–84.3%). CONCLUSIONOur initial results demonstrate that supplemental screening using breast MRI in women with heterogeneously dense and very dense breasts yields an additional cancer detection rate in line with a prior randomized trial on breast MRI screening of women with extremely dense breasts. These findings are highly important as the population investigated constitutes a much higher proportion of women and yielded cancers particularly in women with heterogeneously dense breasts.

Clinical role of abbreviated and ultrafast MRI in breast imaging.

Current breast cancer screening relies on mammography, digital breast tomosynthesis and breast ultrasound. In select populations, breast MRI is also of great utility. However, multiple factors limit widespread use of breast MRI for screening. Efforts have been made to increase the availability of breast MRI for screening, in large part due to the increased cancer detection rate of breast MRI compared to mammography. Techniques include shortening standard breast MRI protocols with the potential for accommodating MRI screening in a higher number of patients. This review will explain the role of abbreviated breast MRI and ultrafast breast MRI in breast imaging, and detail how these approaches differ from standard dynamic contrast-enhanced breast MRI. In addition, limitations and advantages of these techniques will also be discussed.

Re-attendance in supplemental breast MRI screening rounds of the DENSE trial for women with extremely dense breasts

ObjectivesSupplemental MRI screening improves early breast cancer detection and reduces interval cancers in women with extremely dense breasts in a cost-effective way. Recently, the European Society of Breast Imaging recommended offering MRI screening to women with extremely dense breasts, but the debate on whether to implement it in breast cancer screening programs is ongoing. Insight into the participant experience and willingness to re-attend is important for this discussion.MethodsWe calculated the re-attendance rates of the second and third MRI screening rounds of the DENSE trial. Moreover, we calculated age-adjusted odds ratios (ORs) to study the association between characteristics and re-attendance. Women who discontinued MRI screening were asked to provide one or more reasons for this.ResultsThe re-attendance rates were 81.3% (3458/4252) and 85.2% (2693/3160) in the second and third MRI screening round, respectively. A high age (> 65 years), a very low BMI, lower education, not being employed, smoking, and no alcohol consumption were correlated with lower re-attendance rates. Moderate or high levels of pain, discomfort, or anxiety experienced during the previous MRI screening round were correlated with lower re-attendance rates. Finally, a plurality of women mentioned an examination-related inconvenience as a reason to discontinue screening (39.1% and 34.8% in the second and third screening round, respectively).ConclusionsThe willingness of women with dense breasts to re-attend an ongoing MRI screening study is high. However, emphasis should be placed on improving the MRI experience to increase the re-attendance rate if widespread supplemental MRI screening is implemented.Clinical relevance statementFor many women, MRI is an acceptable screening method, as re-attendance rates were high — even for screening in a clinical trial setting. To further enhance the (re-)attendance rate, one possible approach could be improving the overall MRI experience.Key Points• The willingness to re-attend in an ongoing MRI screening study is high.• Pain, discomfort, and anxiety in the previous MRI screening round were related to lower re-attendance rates.• Emphasis should be placed on improving MRI experience to increase the re-attendance rate in supplemental MRI screening.

Assessment of Lung Nodule Detection and Lung CT Screening Reporting and Data System Classification Using Zero Echo Time Pulmonary MRI.

The detection rate of lung nodules has increased considerably with CT as the primary method of examination, and the repeated CT examinations at 3 months, 6 months or annually, based on nodule characteristics, have increased the radiation exposure of patients. So, it is urgent to explore a radiation-free MRI examination method that can effectively address the challenges posed by low proton density and magnetic field inhomogeneities. To evaluate the potential of zero echo time (ZTE) MRI in lung nodule detection and lung CT screening reporting and data system (lung-RADS) classification, and to explore the value of ZTE-MRI in the assessment of lung nodules. Prospective. 54 patients, including 21 men and 33 women. Chest CT using a 16-slice scanner and ZTE-MRI at 3.0T based on fast gradient echo. Nodule type (ground-glass nodules, part-solid nodules, and solid nodules), lung-RADS classification, and nodule diameter (manual measurement) on CT and ZTE-MRI images were recorded. The percent of concordant cases, Kappa value, intraclass correlation coefficient (ICC), Wilcoxon signed-rank test, Spearman's correlation, and Bland-Altman. The p-value <0.05 is considered significant. A total of 54 patients (age, 54.8 ± 11.9 years; 21 men) with 63 nodules were enrolled. Compared with CT, the total nodule detection rate of ZTE-MRI was 85.7%. The intermodality agreement of ZTE-MRI and CT lung nodules type evaluation was substantial (Kappa = 0.761), and the intermodality agreement of ZTE-MRI and CT lung-RADS classification was moderate (Kappa = 0.592). The diameter measurements between ZTE-MRI and CT showed no significant difference and demonstrated a high degree of interobserver (ICC = 0.997-0.999) and intermodality (ICC = 0.956-0.985) agreements. The measurement of nodule diameter by pulmonary ZTE-MRI is similar to that by CT, but the ability of lung-RADS to classify nodes from MRI images still requires further research. 2 TECHNICAL EFFICACY: Stage 2.

Spinal dysraphism in congenital scoliosis and kyphosis: a retrospective analysis in an Indian population.

Early recognition is crucial for occult spinal dysraphism associated with congenital spinal deformities. There is limited literature available on its occurrence in congenital scoliosis and kyphosis in the Indian population. Our study involved a retrospective review of 247 children who presented at a single centre. We analyzed their demographics and clinical and radiological findings, which included the type of deformity, its location, vertebral anomaly, Cobb angle, and MRI findings. The deformities were categorized as congenital scoliosis or congenital kyphosis with failure of formation, failure of segmentation, or both. A total of 247 cases were examined (congenital scoliosis-229, congenital kyphosis-18). The average age was sevenyears (range 0.8 to 19years, SD 4.6). The mean Cobb angle at presentation in the congenital scoliosis group was 49.4° (range 8 to 145°, SD 23.77) for those with abnormal MRI and 42.45° (range 5 to 97°, SD 20.09) for those with normal MRI. For the congenital kyphosis group, the mean K angle at presentation was 47.7° (range 14 to 110°, SD 33.33) for those with abnormal MRI and 47.36° (range 15 to 70°, SD 16.63) for those with normal MRI. Abnormal MRI results were observed in 130 of the patients (congenital scoliosis-53.7%, congenital kyphosis-38.8%). The highest incidence of abnormal MRI findings was observed in the failure of segmentation (66.6%) and mixed (65%) types. Deformities in the dorsal region had the highest incidence (61.9%). The most common dysraphism instances were diastematomyelia and tethered cord. There was a significant correlation between type of deformity and presence of dysraphism. This is the largest case series of congenital scoliosis and kyphosis reported from India. We found a high incidence of occult spinal dysraphism as compared to other published series. Occult spinal dysraphism is more common in the thoracic region. Diastematomyelia followed by tethered cord was the most common anomaly observed. We recommend MRI screening of whole spine and craniovertebral junction.

Assessment of Incidental Prostate Carcinoma Cases and Predictors by Holmium Laser Enucleation of the Prostate

Surgery for benign prostatic hyperplasia (BPH) has greatly advanced with the development of laser technology ; and holmium laser enucleation of the prostate (HoLEP), which can be performed safely and with minimal invasiveness regardless of prostate size. Incidental prostate carcinoma (iPCa) following HoLEP occurs at a certain rate. Predictors, include age, biopsy, history, preoperative prostate specific antigen, and prostate volume. We compared cases with and without incidental carcinoma detection among 257 patients with BPH who underwent HoLEP at our hospital from July 2015 to December 2022. Among the 257 patients, 29 (11.3%) were found to have incidental carcinoma. Although 1 patient switched to endocrine therapy the remaining patients showed good prognosis under surveillance therapy. The proportion of cases with magnetic resonance imaging (MRI) findings suggestive of carcinoma was significantly higher in the incidental carcinoma detection group (p＝0.009). Furthermore, univariate analysis of incidental carcinoma predictive factors revealed a significant difference in MRI findings (odds ratio [OR] 2.92 ; confidence interval [CI] 1.33-6.42), and multivariate analysis showed similar results (OR 2.92 ; CI 1.33-6.42). At our hospital, we currently perform MRI scans for preoperative morphological assessments but not for cancer diagnosis. However, based on the results obtained, we aim to proactively utilize MRI for preoperative malignant screening, in addition to PSA.

BI-RADS Category Assignments by GPT-3.5, GPT-4, and Google Bard: A Multilanguage Study.

Background The performance of publicly available large language models (LLMs) remains unclear for complex clinical tasks. Purpose To evaluate the agreement between human readers and LLMs for Breast Imaging Reporting and Data System (BI-RADS) categories assigned based on breast imaging reports written in three languages and to assess the impact of discordant category assignments on clinical management. Materials and Methods This retrospective study included reports for women who underwent MRI, mammography, and/or US for breast cancer screening or diagnostic purposes at three referral centers. Reports with findings categorized as BI-RADS 1-5 and written in Italian, English, or Dutch were collected between January 2000 and October 2023. Board-certified breast radiologists and the LLMs GPT-3.5 and GPT-4 (OpenAI) and Bard, now called Gemini (Google), assigned BI-RADS categories using only the findings described by the original radiologists. Agreement between human readers and LLMs for BI-RADS categories was assessed using the Gwet agreement coefficient (AC1 value). Frequencies were calculated for changes in BI-RADS category assignments that would affect clinical management (ie, BI-RADS 0 vs BI-RADS 1 or 2 vs BI-RADS 3 vs BI-RADS 4 or 5) and compared using the McNemar test. Results Across 2400 reports, agreement between the original and reviewing radiologists was almost perfect (AC1 = 0.91), while agreement between the original radiologists and GPT-4, GPT-3.5, and Bard was moderate (AC1 = 0.52, 0.48, and 0.42, respectively). Across human readers and LLMs, differences were observed in the frequency of BI-RADS category upgrades or downgrades that would result in changed clinical management (118 of 2400 [4.9%] for human readers, 611 of 2400 [25.5%] for Bard, 573 of 2400 [23.9%] for GPT-3.5, and 435 of 2400 [18.1%] for GPT-4; P < .001) and that would negatively impact clinical management (37 of 2400 [1.5%] for human readers, 435 of 2400 [18.1%] for Bard, 344 of 2400 [14.3%] for GPT-3.5, and 255 of 2400 [10.6%] for GPT-4; P < .001). Conclusion LLMs achieved moderate agreement with human reader-assigned BI-RADS categories across reports written in three languages but also yielded a high percentage of discordant BI-RADS categories that would negatively impact clinical management. © RSNA, 2024 Supplemental material is available for this article.

The performance of artificial intelligence in prostate magnetic resonance imaging screening

Prostate cancer is the predominant form of cancer observed in men worldwide. The application of magnetic resonance imaging (MRI) as a guidance tool for conducting biopsies has been established as a reliable and well-established approach in the diagnosis of prostate cancer. The diagnostic performance of MRI-guided prostate cancer diagnosis exhibits significant heterogeneity due to the intricate and multi-step nature of the diagnostic pathway. The development of artificial intelligence (AI) models, specifically through the utilization of machine learning techniques such as deep learning, is assuming an increasingly significant role in the field of radiology. In the realm of prostate MRI, a considerable body of literature has been dedicated to the development of various AI algorithms. These algorithms have been specifically designed for tasks such as prostate segmentation, lesion identification, and classification. The overarching objective of these endeavors is to enhance diagnostic performance and foster greater agreement among different observers within MRI scans for the prostate. This review article aims to provide a concise overview of the application of AI in the field of radiology, with a specific focus on its utilization in prostate MRI.

Automated rating of background parenchymal enhancement in MRI of extremely dense breasts without compromising the association with breast cancer in the DENSE trial

ObjectivesBackground parenchymal enhancement (BPE) on dynamic contrast-enhanced MRI (DCE-MRI) as rated by radiologists is subject to inter- and intrareader variability. We aim to automate BPE category from DCE-MRI. MethodsThis study represents a secondary analysis of the Dense Tissue and Early Breast Neoplasm Screening trial. 4553 women with extremely dense breasts who received supplemental breast MRI screening in eight hospitals were included. Minimal, mild, moderate and marked BPE rated by radiologists were used as reference. Fifteen quantitative MRI features of the fibroglandular tissue were extracted to predict BPE using Random Forest, Naïve Bayes, and KNN classifiers. Majority voting was used to combine the predictions. Internal-external validation was used for training and validation. The inverse-variance weighted mean accuracy was used to express mean performance across the eight hospitals. Cox regression was used to verify non inferiority of the association between automated rating and breast cancer occurrence compared to the association for manual rating. ResultsThe accuracy of majority voting ranged between 0.56 and 0.84 across the eight hospitals. The weighted mean prediction accuracy for the four BPE categories was 0.76. The hazard ratio (HR) of BPE for breast cancer occurrence was comparable between automated rating and manual rating (HR = 2.12 versus HR = 1.97, P = 0.65 for mild/moderate/marked BPE relative to minimal BPE). ConclusionIt is feasible to rate BPE automatically in DCE-MRI of women with extremely dense breasts without compromising the underlying association between BPE and breast cancer occurrence. The accuracy for minimal BPE is superior to that for other BPE categories.

Abstract 4798: MRI screening for brain metastases (BrM) versus SYMptom-directed brain imaging for patients with triple negative (TN) or HER2+ metastatic breast cancer (MBC): An ad-hoc interim analysis of a randomized phase II pilot study

Abstract Background: Patients with HER2+ or TN MBC are at high risk of developing BrM, but the role of MRI screening for early detection of asymptomatic BrM has not yet been established. Methods: We conducted a multicentre phase II pilot study, which randomized patients with TN or HER2+ MBC to 1 year of BrM screening (contrast enhanced brain MRI at baseline, 4, 8, and 12 months) versus a control arm of symptom directed brain imaging (MRI only if symptoms of BrM develop). The primary goal was to determine the feasibility of a future randomized trial of BrM screening versus symptom-directed imaging in this patient population. Key inclusion criteria were age ≥18; TN MBC diagnosed ≤12 weeks prior to study entry or HER2+ MBC with no restrictions regarding time of diagnosis; no symptoms of BrM or known asymptomatic BrM; ECOG ≥ 1 and no MRI contraindications. Overall (EORTC QLQ BN20) and neurologic-specific (FACT-BR tools) quality-of-life as well as cancer-related anxiety (NCI PRO-CTCAE) were assessed at baseline, 6 and 15 months. Criteria rendering a future trial “not feasible” were defined a-priori as: &amp;lt;30% of eligible patients enroll in the study, &amp;lt;50% complete the study protocol, and/or &amp;gt;50% of patients allocated to the control arm during the 1 year study period are screened for asymptomatic BrM with CT or MRI. Results: Between 2018 and 2023, 44 patients from 3 participating centres enrolled in the study. Thirty-five participants (80%) had HER2+ and 9 (20%) had TN MBC. Of the 22 patients randomized to each of the study arms; 3 patients (8%) in each arm withdrew prior to study completion. Reasons for withdrawal included claustrophobia (n=3) or discontent with their randomised arm (n=3) or follow-up requirements (n=1). Metrics regarding the proportion of eligible patients who enrolled in the study were only collected from the Sunnybrook Odette Cancer Centre site; of 91 patients approached, 38 (42%) enrolled in the study. Within the 12-month study period, the incidence of BrM among patients in the screening arm was n=3 (14%) versus n=4 (18%) in the control arm. To-date among patients in the study arm, 11 (50%) completed the 12-month screening protocol, 5 (23%) remain on study and 6 (27%) did not complete the protocol due to either death or early study withdrawal. Among patients in the control arm, 10 (45%) completed 12-month follow-up, 4 (18%) remain on study and 8 (36%) did not complete follow-up due to either death or early study withdrawal. In total, 13 patients (59%) in the control arm had brain imaging, 4 in the absence of neurological symptoms. Conclusion: A large randomized trial to investigate the utility of MRI-based surveillance for asymptomatic detection of BrM in the proposed patient population is likely feasible, although episodic brain imaging in the control arm was common. Analysis of patient reported outcomes is ongoing. Citation Format: Katarzyna Joanna Jerzak, Megan Shum, Gregory Pond, Orit Freedman, Gursimran Chandhoke, Tatiana Conrad, Priscilla Brastianos, Gregory Stanisz, Arjun Sahgal, Ellen Warner. MRI screening for brain metastases (BrM) versus SYMptom-directed brain imaging for patients with triple negative (TN) or HER2+ metastatic breast cancer (MBC): An ad-hoc interim analysis of a randomized phase II pilot study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4798.

Prostate Cancer Screening and Prostate MRI: Hypotheses Founded on Uncertain Evidence.

Prostate Cancer Screening and Prostate MRI: Hypotheses Founded on Uncertain Evidence.