Mammography Research Articles

Microwave imaging for breast cancer screening: protocol for an open, multicentric, interventional, prospective, non-randomised clinical investigation to evaluate cancer detection capabilities of MammoWave system on an asymptomatic population across multiple European countries.

Microwave imaging presents several potential advantages including its non-ionising and harmless nature. This open, multicentric, interventional, prospective, non-randomised trial aims to validate MammoWave's artificial intelligence (AI)-based classification algorithm, leveraging microwave imaging, to achieve a sensitivity exceeding 75% and a specificity exceeding 90% in breast screening. 10 000 volunteers undergoing regular mammographic breast cancer screening will be recruited across 9 European centres and invited to participate in the clinical study, involving MammoWave testing on both breasts. MammoWave results will be checked against the reference standard, to be intended as the output of conventional breast examination path (with histological confirmation of cancer cases) with 2 years follow-up. Anonymised clinical and MammoWave's results, including microwave images, associated features and a label provided by the AI-based classification algorithm, will be collected and stored in a dedicated electronic case report form. The prospective study will involve a comparative analysis between the output of the conventional breast examination path (control intervention) and the labels provided by MammoWave's AI system (experimental intervention). These labels will categorise breasts into two groups: breast With Suspicious Finding, indicating the presence of a suspicious lesion or No Suspicious Finding, indicating the absence of a lesion or the presence of a low-suspicion lesion. This trial aims to provide evidence regarding the novel MammoWave's AI system for detecting breast cancer in asymptomatic populations during screening. This study was approved by the Research Ethics Committee of the Liguria Region (CET), Italy (CET-Liguria: 524/2023-DB id 13399), the Research Ethics Committee of Complejo Hospitalario de Toledo (CEIC), Spain (CEIC-1094), the National Ethics Committee for Clinical Research (CEIC), Portugal (CEIC-2311KC814), the Bioethical Committee of Pomeranian Medical University in Szczecin, Poland (KB-006/23/2024) and the Zurich Cantonal Ethics Commission, Switzerland (BASEC 2023-D0101). The findings of this study will be disseminated through academic and scientific conferences as well as peer-reviewed journals. NCT06291896.

Assessment of Nonmass Lesions Detected with Screening Breast US Based on Mammographic Findings.

Background Breast nonmass lesions (NMLs) are observed at screening and diagnostic US. However, knowledge is limited on imaging features of NMLs at screening US. Purpose To identify features of NMLs at screening US that are suspicious for malignancy based on mammographic findings. Materials and Methods This retrospective, multicenter study included asymptomatic women who underwent screening US between January 2012 and December 2019. Eligible women had NMLs at US, concurrent screening mammography, and record of a final diagnosis. Logistic regression analyses were used to identify factors associated with malignancy. The diagnostic performance of each sonographic feature according to mammographic findings was calculated. A reader study was performed to assess interreader agreement for sonographic features. Results Among 993 NMLs in 993 patients (mean age, 50 years ± 9 [SD]), 914 (92.0%) were benign and 79 (8.0%) were malignant. Mean size was larger for malignant NMLs than for benign NMLs (2.6 cm ± 1.1 vs 1.9 cm ± 0.8; P < .001). In multivariable analysis, associated calcifications (odds ratio [OR], 21.6 [95% CI: 8.0, 58.2]; P < .001), posterior shadowing (OR, 6.9 [95% CI: 2.6, 18.4]; P < .001), segmental distribution (OR, 6.2 [95% CI: 2.7, 14.4]; P < .001), mixed echogenicity (OR, 5.0 [95% CI: 1.8, 14.0]; P < .001), and size (OR, 1.5 [95% CI: 1.1, 2.1]; P = .01) at US were associated with malignancy. Associated calcifications, posterior shadowing, segmental distribution, and mixed echogenicity showed positive predictive values (PPVs) of 44%, 22%, 22.9%, and 16.6%, respectively. Having a negative mammogram was associated with a lower malignancy rate (2.8% vs 28.8%) and lower PPVs for sonographic features (0.7%-10.4% vs 24%-55%) than having a positive mammogram. Interreader agreement for sonographic features was good to excellent (Fleiss κ 95% CI lower bound range, 0.63-0.81). Conclusion Calcifications, posterior shadowing, segmental distribution, and mixed echogenicity associated with NMLs can be considered suspicious features for malignancy at screening US. As malignancy rates and PPVs differ according to mammographic abnormalities, combined assessment is mandatory. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Grimm in this issue.

Performance of breast MRI for high-risk screening during lactation.

To assess the diagnostic performance of breast MRI during lactation in the setting of high-risk breast cancer screening. Screening breast MRIs performed between April 2008 and March 2024 were retrospectively reviewed. Background parenchymal enhancement (BPE) grade was compared between lactating patients and patients who recently stopped lactating using the Mann-Whitney test. Breast Imaging Reporting and Data System (BI-RADS) scores prevalence rates were compared between lactating patients and controls encompassing young non-lactating patients using the Chi-square test. Diagnostic performance was calculated for patients with a biopsy reference or a 1-year radiologic follow-up. One-hundred forty-two screening breast MRIs were performed in lactating patients (n = 104, median age, 36.0 ± 6.0 years). Marked BPE appeared in 82% of cases (116/142), with a higher BPE grade in exams performed during lactation as compared with those performed in patients who had recently ceased lactating (p < 0.001). Screening MRIs performed during lactation had a higher rate of BI-RADS 3 scores (40/142, 28% vs. 683/8922, 7%, p < 0.001) and a lower rate of BI-RADS 1/2 scores (88/142, 62% vs. 7549/8922, 84.6%, p = 0.002) compared with those performed in controls (n = 8922). One pregnancy-associated breast cancer was detected, and one interval-cancer occurred. All MRI-guided biopsies were negative (n = 13). Screening breast MRI during lactation had 50% sensitivity (1/2), 60% specificity (72/120), 2.0% positive predictive value (1/49), and 98.6% negative predictive value (71/82). The efficacy of breast MRI for high-risk screening during lactation is limited by prominent BPE, leading to an increased rate of BI-RADS 3 categorization and diminished overall specificity. Question Studies on breast MRI during lactation were solely focused on studies conducted in patients with known cancer but not in the screening setting. Findings Screening breast MRI during lactation usually results in marked background parenchymal enhancement, negatively impacting its diagnostic performance. Clinical relevance Despite the lower performance, and amidst the significant risk of pregnancy-associated breast cancer, this screening approach remains relevant for lactating patients with high-risk profiles, such as BReast Cancer (BRCA) carriers. Radiologists should be familiar with the normal appearance of breast MRI duringlactation.

The association between cancer literacy and cancer screening behaviours: a systematic review

Abstract Background This study aimed at investigating the association between cancer literacy (CL) and adherence to cancer screening programs. Methods PubMed, Scopus and Web of Science were searched. Any study, published until March 2024, that investigated the associations between CL and cancer screening intention or uptake in any target population were eligible. For CL measurement, both validated and ad hoc tools were considered. For each outcome, articles were grouped according to the type of cancer investigated and results were narratively synthesized. Results A total of 3426 records were retrieved. After deduplication and screening process, six studies were included. Population enrolled was heterogeneous as well as the tool used to measure CL. Four studies explored the relationship between CL and screening uptake, one focused solely on screening intention and another investigated both intention and uptake. Significant association was found between CL and screening intention in the two studies included, with higher literacy levels correlating to increased intent for screening. A significant association between higher CL and skin cancer screening uptake was reported, while the uptake of prostate cancer screening was not significantly associated with CL levels. By contrast, mixed results were obtained investigating breast, cervix and colorectal screening uptake. Conclusions Higher levels of cancer literacy appeared to be associated with screening intention, while its association with screening uptake was found barely significant for any screening type, suggesting that other factors influence the actual screening uptake. However, the scarce number of studies, along with the absence of validated tools and the heterogeneity of target populations, limits the generalizability of the results. Further research, differentiating screening types and timelines and using multivariate models, is needed to clarify the role of CL in screening behaviours. Key messages • Higher levels of cancer literacy appear to be associated with screening intention, suggesting its importance in promoting motivation for early cancer detection. • Association between cancer literacy and screening uptake was found barely significant for any screening type, suggesting that other factors influence actual screening uptake, urging further research.

Discrepancies in breast cancer screening and hypothesis of artificial intelligence support

Abstract In Italy,the National Breast Screening Programme offers mammography as the 1st level examination, blindly assessed by two radiologists.In the context of continuous quality control,discrepancies in the assessment of mammograms between the 1st and 2nd reader have been studied,focusing on the most significant ones.The aims of the present study are:to evaluate the outcome of women sent to the 2nd level of review;to evaluate the possibility of using artificial intelligence (AI) software to assist radiologists in case of discrepancies. In the Local Health Authority Roma2,radiologists use a standardised classification that rates radiographs on a five-level scale from R1 to R5:R1=no abnormalities,R2=benign findings,R3=equivocal findings,R4=suspected cancer,R5=strongly suspected cancer.Data were extracted from the mammograms performed in 2023 that showed discrepancies (R1/R2 vs. R4/R5).2nd level mammography≥R4 and 2nd level histology≥B4 were considered positive. For the second aim,”IA Lunit INSIGHT” software was used to create specific target groups using the following cut-offs:G1&amp;lt;10%, G2 11-29%; G3 30-59%; G4 60-85%; G5 86-100%(groups ≥G3 were considered positive). Of the 36,339 mammograms,524(1.5%) were discordant:347(66.2%) were considered suspicious by the second radiologist.49(9.4%) were confirmed positive by Level II mammography and 23(4.4%) reported histology≥B4. The AI red a random sample of 247 mammograms and classified 34 women as positive (1 G5, 6 G4, 9 G3), of whom 11 (4.5%) were confirmed positive by Level II mammography and 6 (2.4%) were histologically positive. Of the negative women, 2 had histology≥B4. Discrepancies may be one of the factors leading to inappropriate referral to second level investigation. In such cases, the use of AI may improve the appropriateness of further investigation, although this hypothesis needs to be tested in larger numbers, with additional comparisons with experienced radiologists and consideration of retraining. Key messages • Continuous monitoring in cancer screening programs are vital to assure a sustainability of the process. • Artificial Intelligence software are promising in aiding health care professionals in case of discrepancies.

Abbreviated Breast MRI as a Supplement to Mammography in Family Risk History of Breast Cancer within the Croatian National Breast Screening Program.

To evaluate the diagnostic performance of abbreviated breast MRI compared with mammography in women with a family history of breast cancer included in the Croatian National Breast Screening Program. 178 women with a family history of breast cancer aged 50 to 69 underwent abbreviated breast MRI and mammography. Radiological findings for each method were categorized according to the BI-RADS classification. The gold standard for assessing the diagnostic accuracy of breast MRI and mammography, in terms of suspicious BI-RADS 4 and BI-RADS 5 findings, was the histopathological diagnosis. Performance measures, including cancer detection rates, specificity, sensitivity, and positive and negative predictive values, were calculated for both imaging methods. Twelve new cases of breast cancer were detected, with seven (58.3%) identified only by abbreviated breast MRI, four (33.3%) detected by both mammography and breast MRI, and one (8.3%) diagnosed only by mammography. Diagnostic accuracy parameters for abbreviated breast MRI were 91.67% sensitivity, 94.58% specificity, 55.0% positive predictive value (PPV), and 99.37% negative predictive value (NPV), while for mammography, the corresponding values were 41.67%, 96.39%, 45.46%, and 95.81%, respectively. Abbreviated breast MRI is a useful supplement to screening mammography in women with a family history of breast cancer. Considering the results of the conducted research, it is recommended to assess whether women with a family history of breast cancer have an increased risk and subsequently provide annual abbreviated breast MRI in addition to mammography for early detection of breast cancer.

Development of an MRI Radiomic Machine-Learning Model to Predict Triple-Negative Breast Cancer Based on Fibroglandular Tissue of the Contralateral Unaffected Breast in Breast Cancer Patients

Aim: The purpose of this study was to develop a radiomic-based machine-learning model to predict triple-negative breast cancer (TNBC) based on the contralateral unaffected breast’s fibroglandular tissue (FGT) in breast cancer patients. Materials and methods: This study retrospectively included 541 patients (mean age, 51 years; range, 26–82) who underwent a screening breast MRI between November 2016 and September 2018 and who were subsequently diagnosed with biopsy-confirmed, treatment-naïve breast cancer. Patients were divided into training (n = 250) and validation (n = 291) sets. In the training set, 132 radiomic features were extracted using the opensource CERR platform. Following feature selection, the final prediction model was created, based on a support vector machine with a polynomial kernel of order 2. Results: In the validation set, the final prediction model, which included four radiomic features, achieved an F1 score of 0.66, an area under the curve of 0.71, a sensitivity of 54% [47–60%], a specificity of 74% [65–84%], a positive predictive value of 84% [78–90%], and a negative predictive value of 39% [31–47%]. Conclusions: TNBC can be predicted based on radiomic features extracted from the FGT of the contralateral unaffected breast of patients, suggesting the potential for risk prediction specific to TNBC.

Suitability of ChatGPT as a Source of Patient Information for Screening Mammography.

ChatGPT3.5 and ChatGPT4 were released publicly in late November 2022 and March 2023, respectively, and have emerged as convenient sources of patient health education and information, including for screening mammography. ChatGPT4 offers enhanced capabilities; however, it is only available by paid subscription. The purported benefits of ChatGPT for health education need to be objectively evaluated. To assess performance differences, ChatGPT3.5 and GPT4 were used between 13 April and 29 May 2023 to generate breast screening patient information sheets, which were evaluated using the Patient Education Materials Assessment Tool for printed materials (PEMAT-P) and the CDC Clear Communication Index (CDC Index) Score Sheet; and benchmarked against gold standard content in BreastScreen NSW's patient information sheet. Mean scores were reported for comparison. GPT3.5 provided the appropriate tone and currency of information but lacked accuracy, omitting key insights: PEMAT-P understandability 68.0% (SD = 6.56) and actionability 36.7% (SD=20.4); CDC Index 58.8% (SD = 15.3). GPT4 was deemed superior to GPT3.5 but included several key omissions: PEMAT-P understandability 75.0% (SD = 17) and actionability 53.3% (SD = 11.54); CDC Index 66.0% (SD = 4.1). Both ChatGPT versions exhibited poor understandability and actionability and were unclear in their messaging. Those with poor health literacy will not benefit from accessing current versions of ChatGPT and may be further disadvantaged if they do not have access to a paid subscription. ChatGPT is evidenced to be an unreliable and inaccurate source of information concerning breast screening that may undermine participation and risk increased morbidity and mortality from breast cancer. ChatGPT may increase the demand on health care educators to rectify misinformation.

SuppClinical guidelines for the management of mammographic density: A systematic review of breast screening guidelines worldwide.

High breast density is an independent risk factor for breast cancer and decreases the sensitivity of mammography. This systematic review synthesizes the international clinical guidelines and the evidence base for screening and supplemental screening recommendations in women with dense breasts. A systematic search of CINHAL, Embase and Medline databases was performed in August 2023 and grey literature searched in January 2024. Two authors independently assessed study eligibility and quality (Appraisal of Guidelines for Research and Evaluation II instrument). Of 3,809 articles, 23 guidelines published from 2014 to 2024 were included. The content and quality varied between the guidelines; the average AGREE II total score was 58% (range, 23% to 87%). Most guidelines recommended annual or biennial screening mammography for women over 40 years with dense breasts (n = 16). Other guidelines recommended breast tomosynthesis (DBT, n = 6) or magnetic resonance imaging (MRI, n = 1) as the preferred screening modality. A third of the guidelines (n = 8) did not recommend supplemental screening for women with dense breasts. Of those which recommended supplemental screening (n = 14), ultrasound was the preferred modality (n = 7), with MRI (n = 3), DBT (n = 3) and contrast-enhanced mammography (n = 2) also recommended. Consensus on supplemental screening in women with dense breasts is lacking. The quality of the guidelines is variable, and recommendations are largely based on low-quality evidence. As evidence of the benefits versus harms of supplemental screening in women with dense breasts is evolving, it is imperative to improve the methodological quality of breast cancer screening and supplemental screening guidelines.

Complementing Mammography Screening with Automated 3D Ultrasound in Women with High-Density Breasts

Background. In early breast screening structure, an important factor is breast density. Women with types C and D breast density according to American College of Radiology (ACR) classification have 4–6-fold increased risk of cancer compared to women with type A breast density. With this type of density, the effectiveness of diagnostic mammography (MG) is significantly decreased. Today, automated breast 3D ultrasound can be considered as an additional screening method in women with breast structure types C and D according to ACR.Objective: to perform a comparative analysis of the diagnostic efficacy of 2D and 3D ultrasound in women aged 40 years and older with high breast tissue density.Material and methods. Retro-prospective, observational, single-center study was conducted. From February 2019 to May 2023, 1283 patients aged 40 years and older were examined. The patients were divided into two groups. In group A, women underwent 2D ultrasound and MG. In group B, additionally to these methods, 3D ultrasound was performed. In both groups, the results were evaluated according to Breast Imaging-Reporting and Data System (BI-RADS). Based on the obtained data, the following indicators were determined: positive (PPV) and negative (NPV) predictive values, sensitivity, specificity and accuracy of all methods. For 2D and 3D ultrasound, the predictive model areas under curve (AUC) of receiver operating characteristic (ROC) were calculated.Results. MG method showed PPV 0.89, NPV 0.93, sensitivity 0.53, specificity 0.99, and balanced accuracy 0.76. Indicators for 2D ultrasound demonstrated PPV 0.8, NPV 0.98, sensitivity 0.9, specificity 0.97, balanced accuracy 0.93, AUC ROC 0.968. The results for 3D ultrasound were as follows: PPV 0.97, NPV 0.97, sensitivity 0.9, specificity 0.99, balanced accuracy 0.94, AUC ROC 0.98.Conclusion. The diagnostic efficiency of breast automated 3D ultrasound in patients aged 40 years and older is comparable to 2D ultrasound in terms of sensitivity, and it’s better in terms of accuracy, specificity. The prognostic model of 3D ultrasound is also better compared to 2D ultrasound.

Impact of PRECEDE-PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement.

Health disparities related to socio-economic factors impact access to preventive health interventions. The PRECEDE-PROCEED model, a multidimensional approach to health promotion, has been adapted to optimise cancer screening programs in Lombardy, Italy, addressing these disparities. This study evaluated the application of systemic audits based on the PRECEDE-PROCEED model across Lombardy cancer screening programs. A systematic region-wide audit was performed in 2019, and follow-up audits were performed in 2022-2023. Data were collected using structured analysis methodologies, including epidemiological, behavioural, and organisational assessments. The 2019 audit showed strengths in participation and quality standards but identified challenges in cervical cancer screening coverage and waiting times for assessments. Improvements plans included the digitisation of processes and stakeholder engagement. The 2022-2023 audits reported increased coverage for breast and colorectal screenings, but a slight decline in participation rates and examination coverage. Organisational improvements were noted, yet gaps in training and equity-targeted actions remained. The PRECEDE-PROCEED model audits led to notable improvements in the quality and equity of cancer screening programs in Lombardy. Sustained focus on digital integration, continuous re-training, and targeted equity interventions is essential for further progress.

Exploring the impact of work experience on the detection of specific cancers across different breast density levels on screening mammograms

PurposeThis study explores the attributes of true positive and false positive rates in screening mammogram test sets assessed by breast screening radiologists in order to identify the combined impact of prior images, breast density and lesion features with experience factors linked to diagnostic performance. Methods869 radiologists’ first-time readings across nine mammogram BREAST test sets with 361 normal and 179 cancer mammograms were collected between 2014 and 2023. Participants viewed digital mammograms on diagnostic monitors and localized abnormal lesions. The performances of readers in normal and cancer cases were compared with the ground truth and analyzed in four quartiles of breast density, lesion types and the availability of prior images using Man-Whitney U and Kruskal Wallis tests. The general linear model was applied to determine independent and significant covariates that affected the true positives and false positives. The correlation of the readers’ experience with the performances in different case and lesion features was explored using Spearman test. ResultsThe combination of lesion appearance and the availability of prior images had a significant impact on false positive results (P=0.033). The model that included lesion appearance, breast density, and no prior image status significantly influenced case true positives of readers (P=0.026). Meanwhile, the model considering only lesion appearance and breast density (P=0.002) had a significant effect on lesion true positives. There was a positive correlation observed between the number of cases read per week and readers’ performances, including TP rates and lesion sensitivity across various lesion types (P<0.05). Radiologists reading over 100 cases weekly achieved 80 % true positive rate for architectural distortion, asymmetric density, and masses, while this threshold increased to over 150 cases for calcifications. Detecting mixed lesion types required reading more than 60 cases weekly. Radiologists with over 5 years’ experience achieved 70–75 % accuracy in localizing cancer lesions. ConclusionFindings highlight the significant combined impact of breast density, prior image availability, lesion characteristics, and breast screening readers’ experience on breast cancer detection.

Quality improvement of breast and cervical cancer screening satisfaction rate at a resident-led clinic.

308 Background: In the US, 77.3% of women aged 21-65 years have had a Pap smear within the past three years and around 75.9% of women aged 50-74 years reported having a mammogram within the past two years as recommended according to the U.S. Preventive Services Task Force (USPSTF). In UTRGV Resident-led Clinic located in Hidalgo County, the quality metrics data demonstrated screening satisfactory rate for cervical and breast cancer to be 18% in August 2023. This Quality Improvement project is aimed at enhancing the screening satisfactory rate of breast and cervical cancer by 20% at UTRGV Knapp IM Clinic by December 2023. Methods: First, we focused on the education of the residents through noon conference and 1:1 education. This included comprehensive instruction on latest USPSTF guidelines and proper documentation on the electronic health record system, Athena. Second, we introduced a patient screening questionnaire, available in both English and Spanish. These efforts were evaluated through a pre-and-post-intervention survey designed to assess changes in residents' confidence, aligning with quality metrics data. We obtained and filtered the quality metrics raw data to include all the current residents in PGY1-3 and summed the number of patients who had records of breast and cervical cancer screening and divided the sum of all patients that required the record. The satisfaction rate was rounded to the 2nd decimal place. Results: The raw data from 8/2023 showed screening satisfactory rate for cervical and breast cancer to be 18%. With the initiation of intervention, the data from 9/2023 showed rate of 35%, finally reaching 39% on 12/2023, fulfilling our aim of 20% increase in the screening satisfactory rate. Survey data shows that there was an improvement of confidence observed in both breast and cervical cancer screening. Respectively, 27.5% and 30.9% increase in the residents who responded confident in breast cancer and cervical cancer screening were observed. 84.4% of residents responded that they are less forgetfulness in screening patients after the intervention. There was 22.9% increase in residents who know how to record the cancer screening result in Athena. 87.5% of the residents responded that they experienced improvement in implementing and documenting the breast and cervical cancer screening. Conclusions: Despite several limitations in acquiring and analyzing the data, this QI project positively impacted both subjective and objective data for the improvement of the breast and cervical cancer screening, fulfilling our aim of 20% increase in screening satisfactory rate by December 2023. Breast and cervical screening satisfactory Rate. Month/year Number of patients requiring breast and cervical cancer screening Number of patients with satisfaction in breast and cervical cancer screening Satisfactory rate (%) 08/2023 42 229 18 9/2023 999 2844 35 10/2023 454 1458 31 11/2023 649 1771 37 12/2023 113 287 39

Mobile breast screening services in Australia: A qualitative exploration of perceptions and experiences among rural and remote women aged ≥75 years.

This qualitative descriptive study draws on data collected from a sub-sample of 15 women participating in a national study (n = 60) exploring the breast cancer screening motivations and behaviours of women aged ≥75 years. The study aimed to understand why women living in rural and remote areas might continue accessing mobile breast cancer screening despite being outside the targeted age range. Settings ranged from large towns to very remote communities (according to Monash Modified Model (MMM) classification 3-7) where BreastScreen Australia mobile screening services were available. Interview data from 15 women aged ≥75 years living in rural and remote locations who had used mobile screening services was utilised for this study. In-depth individual interviews were conducted via telephone or online platform (Zoom). These were transcribed verbatim and imported into NVivo software to enable thematic analysis to identify key themes. Many women aged ≥75 years in rural and remote areas expressed clear intentions to continue breast cancer screening, despite no longer being invited to do so. They perceived great value in the mobile service and were highly appreciative for it yet acknowledged limited sources of information about the process of ongoing screening. Few women in rural and remote areas had discussed ongoing breast cancer screening with their general practitioner (GP). More information is required to inform women about the risks and benefits of ongoing screening. Without an invitation to attend screening rural women reported difficulty in knowing when the service would be available. Ongoing notification of the availability of mobile services for women aged ≥75 years in rural areas is recommended.

Transforming Breast Cancer Care and Clinical Outcomes: Local Experience in Yanbu Industrial City, Saudi Arabia

ObjectiveThis study aimed to enhance outcomes for women undergoing breast cancer screening in a low utilization setting by implementing structured improvement cycles. MethodsImprovement cycles were conducted using the Plan-Do-Study-Act (PDSA) methodology. Three cycles were implemented: (1) dedicating a specific day for breast screening and increasing appointment slots; (2) establishing a breast screening clinic with same-day registration; and (3) introducing a breast surgery clinic to expedite biopsy procedures for BI-RADS-4 category cases. ResultsFollowing each improvement cycle, dramatic increases in patient attendance were observed. In 2021, there was a 67.5% rise compared to the previous year, and a 72% increase in 2022 compared to 2021 figures. Patient characteristics revealed that 60% of attendees were new patients, with 53% of cancer and precancerous cases observed in women below 50 years old. Before the third cycle, the estimated diagnosis turnaround time (TAT) showed that only 23% of patients had their biopsy completed within five working days. However, after the third cycle (n = 131), 63.5% of biopsies were done within five working days. ConclusionStructured improvement cycles guided by the PDSA methodology effectively enhanced breast cancer screening outcomes. These cycles led to increased patient attendance, expedited biopsy procedures, and improved access to timely diagnosis. The findings highlight the importance of systematic approaches in optimizing breast cancer screening and improving patient care. MicroAbstractThis study aimed to improve breast cancer screening outcomes using structured Plan-Do-Study-Act (PDSA) cycles. Implementing dedicated screening days, same-day registration, and expedited biopsy procedures. Turnaround improved from 23% to 63.5% within 5 days post-third cycle. PDSA-guided cycles dramatically improved patient attendance, expedited biopsy procedures, and timely diagnosis, optimizing breast cancer screening and patient care.

Status and influencing factors of knowledge, attitudes and practices relating to screening for breast and cervical cancer among rural women aged 40–65 years in China: a cross-sectional study

ObjectivesThe objectives are to investigate the status of knowledge, attitudes and practices (KAP) and to identify factors related to KAP towards breast and cervical cancer screening among rural Chinese women...

Female cancer screening in India: Results from the National Family Health Survey (NFHS-5) and the way forward

ABSTRACT The incidence of cancer is increasing in India, reflecting global trends. This study attempts to identify various socioeconomic factors associated with breast and cervical cancer screening in females aged 30-49 years using the National Family Health Survey-5 (NFHS-5) data. Data focused on sociodemographic variables, cancer awareness, and information on breast and cervical cancer screening. Poisson regression was used to identify factors and reported adjusted prevalence ratio (APR) and 95% confidence intervals (CI). The proportion of women who had undergone breast and cervical cancer screening all over India was 0.9% and 1.9%, respectively. Socioeconomic factors seem to play a role as the poor and middle wealth index groups were less likely to undertake breast (APR = 0.60; 95%CI: 0.37, 0.99) and cervical cancer (APR = 0.68; 95%CI: 0.51, 0.92) screening compared to the wealthier groups. Moreover, 43% of participants in the poor wealth index category had not undergone cervical cancer screening (APR = 0.57; 95%CI: 0.33, 0.96). Further, women who watched messages on visual media were more likely to undergo screening for breast (APR = 2.00; 95%CI: 1.12, 3.57) and cervical cancer (APR = 1.46; 95%CI: 1.18, 1.82) within a week. In conclusion, screening for cancer among Indian females is remarkably low, which highlights the need for a uniform protocol for message dissemination on cancer and to collect information based on risk assessment. Furthermore, the negligible community participation in cancer screening points to the potential role of sociodemographic characteristics in taking up cancer screening, which was reflected in less participation among socioeconomically disadvantaged groups.

Community breast pain clinics can provide safe, quality care for women presenting with breast pain.

Breast pain is not typically a symptom of breast cancer, yet nationally 20% of 2-week wait (2WW) breast referrals are breast pain alone. The East Midlands Breast Pain Pathway improves patient experience and frees capacity in secondary care diagnostic breast clinics, managing women with breast pain only in a community setting. We report the results of implementation of community breast pain clinics (CBPCs) at sites in Derbyshire (catchment population ~1 million), with 12 months follow-up data. 1036 patients were seen at CBPCs between June 2021 and February 2023. The median patient age was 49 (range 16-88) years. 993 patients (95.8%) were discharged from the clinic with breast pain management advice. 43 (4.2%) patients were referred for further assessment at a 2WW breast diagnostic clinic. Objective family history risk assessment identified 124 patients (12.3%) above population risk of breast cancer, who were offered referral to familial cancer services for ongoing management. Seven patients were diagnosed with breast cancer at or within 12 months of CBPC attendance. Five patients were diagnosed through attending the CBPC, one patient was subsequently referred to 2WW clinic with a new symptom and had a mammographically occult tumour and one was diagnosed following a subsequent routine breast screening invitation. Two of the five patients had a personal history of breast cancer which was a stated exclusion criterion for the CBPC. Breast cancer incidence in women with breast pain only and fulfilling CBPC referral criteria was 4.8/1000, confirming that this population is at low risk of developing breast cancer.Patient service satisfaction was high with 99% (n=1022) 'extremely likely or likely' to recommend the service. The results confirm the pathway is the first to demonstrate women can be safely managed with breast pain alone in a community setting with high levels of patient satisfaction.

Racial Disparities and Strategies for Improving Equity in Diagnostic Follow-Up for Abnormal Screening Mammograms.

Black and White women undergo screening mammography at similar rates, but racial disparities in breast cancer outcomes persist. To assess potential contributors, we investigated delays in follow-up after abnormal imaging by race/ethnicity. Women who underwent screening mammography at our urban academic center from January 2015 to February 2018 and received a Breast Imaging Reporting and Data System 0 assessment were included. Kaplan-Meier estimates described distributions of time between diagnostic events from (1) screening to diagnostic imaging and (2) diagnostic imaging to biopsy. Multivariable logistic regression models estimated the associations between race/ethnicity and receipt of follow-up within 15 and 30 days. Two thousand five hundred and fifty-four women were included (48.6% non-Hispanic [NH] Black, 38.2% NH White, 13.1% other/unknown). Median time between screening and diagnostic imaging varied by race/ethnicity (White: 7 days [IQR, 2-14]; Black: 12 days [IQR, 7-23]; other/unknown: 9 days [IQR, 5-21]). There were similar disparities in days between diagnostic imaging and biopsy (White: 12 [IQR, 7-24]; Black: 21 [IQR, 13-37]; other/unknown: 16 [IQR, 9-30]) and between screening and biopsy (White: 20 [IQR, 11-41]; Black: 35 [IQR, 22-63]; other/unknown: 27.5 [IQR, 17-42]). After adjustment, odds of diagnostic imaging follow-up within 15 days of screening were lower for Black versus White women (odds ratio, 0.59 [95% CI, 0.44 to 0.80]; P < .001). In this diverse cohort, disparities in timely diagnostic follow-up after abnormal breast screening were observed, with Black women waiting 1.75 times as long as White women to obtain a tissue diagnosis. National guidelines for time to diagnostic follow-up may facilitate more timely breast cancer care and potentially affect outcomes.

438 - Radiographer gender and breast screening uptake: A single centre study in ghana

438 - Radiographer gender and breast screening uptake: A single centre study in ghana