Core Needle Biopsy Research Articles

Genetic characterization of intramuscular myxomas.

Introduction: Intramuscular myxomas are benign tumors that are challenging to diagnose, especially on core needle biopsies. Acquired chromosomal aberrations and pathogenic variants in codon 201 or codon 227 in GNAS complex locus gene (GNAS) have been reported in these tumors. Here we present our genetic findings in a series of 22 intramuscular myxomas. Materials and methods: The tumors were investigated for the presence of acquired chromosomal aberrations using G-banding and karyotyping. Pathogenic variants in codon 201 or codon 227 of GNAS were assessed using direct cycle Sanger sequencing and Ion AmpliSeq Cancer Hotspot Panel v2 methodologies. Results: Eleven tumors carried chromosomal abnormalities. Six tumors had numerical, four had structural, and one had both numerical and structural chromosomal aberrations. Gains of chromosomes 7 and 8 were the most common abnormalities being found in five and four tumors respectively. Pathogenic variants in GNAS were detected in 19 myxomas (86%) with both methodologies. The detected pathogenic variants were p.R201H in nine cases (seven with abnormal and two with normal karyotypes), p.R201C in five cases, all with normal karyotypes, p.R201S in three cases (two with abnormal and one with normal karyotype), p.R201G in one case with a normal karyotype, and p.Q227E in one case with a normal karyotype. Conclusion: Firstly, our data indicate a possible association between chromosomal abnormalities and GNAS pathogenic variants in intramuscular myxomas. Secondly, the presence of the rare pathogenic variants R201S, p.R201G and p.Q227E in 26% (5 out of 19) of myxomas with GNAS pathogenic variants shows that methodologies designed to detect only the common "hotspot" of p.R201C and p.R201H will give false negative results. Finally, a comparison between Ion AmpliSeq Cancer Hotspot Panel v2 and direct cycle Sanger sequencing showed that direct cycle Sanger sequencing provides a quick, reliable, and relatively cheap method to detect GNAS pathogenic variants, matching even the most cutting-edge sequencing methods.

Sonography-based multimodal information platform for identifying the surgical pathology of ductal carcinoma in situ

BackgroundThe risk of ductal carcinoma in situ (DCIS) identified by biopsy often increases during surgery. Therefore, confirming the DCIS grade preoperatively is necessary for clinical decision-making. PurposeTo train a three-classification deep learning (DL) model based on ultrasound (US), combining clinical data, mammography (MG), US, and core needle biopsy (CNB) pathology to predict low-grade DCIS, intermediate-to-high-grade DCIS, and upstaged DCIS. Materials and MethodsData of 733 patients with 754 DCIS cases confirmed by biopsy were retrospectively collected from May 2013 to June 2022 (N1), and other data (N2) were confirmed by biopsy as low-grade DCIS. The lesions were randomly divided into training (n=471), validation (n=142), and test (n = 141) sets to establish the DCIS-Net. Information on the DCIS-Net, clinical (age and sign), US (size, calcifications, type, breast imaging reporting and data system [BI-RADS]), MG (microcalcifications, BI-RADS), and CNB pathology (nuclear grade, architectural features, and immunohistochemistry) were collected. Logistic regression and random forest analyses were conducted to develop Multimodal DCIS-Net to calculate the specificity, sensitivity, accuracy, receiver operating characteristic curve, and area under the curve (AUC). ResultsIn the test set of N1, the accuracy and AUC of the multimodal DCIS-Net were 0.752–0.766 and 0.859–0.907 in the three-classification task, respectively. The accuracy and AUC for discriminating DCIS from upstaged DCIS were 0.751–0.780 and 0.829–0.861, respectively. In the test set of N2, the accuracy and AUC of discriminating low-grade DCIS from upstaged low-grade DCIS were 0.769–0.987 and 0.818–0.939, respectively. DL was ranked from one to five in the importance of features in the multimodal-DCIS-Net. ConclusionBy developing the DCIS-Net and integrating it with multimodal information, diagnosing low-grade DCIS, intermediate-to high-grade DCIS, and upstaged DCIS is possible. It can also be used to distinguish DCIS from upstaged DCIS and low-grade DCIS from upstaged low-grade DCIS, which could pave the way for the DCIS clinical workflow.

A phase 1 trial of combined MEK, STAT3 and PD-1 inhibition in metastatic pancreatic ductal adenocarcinoma (PDAC).

TPS713 Background: PDAC is characterized by its innate and acquired resistance to both MAPK pathway inhibition and immune checkpoint (e.g. PD-1/PD-L1) inhibition (ICI) via multiple mechanisms. In preclinical models of PDAC, combined MEK and STAT3 inhibition (MEKi+STAT3i) uncovers stromal plasticity by attenuating cancer-associated fibroblasts (CAF) with IL-6/CXCL1-secretory phenotypes while enriching for Ly6a/CD34-expressing CAF phenotypes with mesenchymal stem cell-like features. This remodeling of CAF heterogeneity is associated with a striking attenuation in and reprogramming of tumor-associated macrophages (TAMs) as well as enhanced trafficking of CD8 T cells, which exhibit a distinct effector and anti-apoptotic transcriptional program. The addition of MEKi+STAT3i to PD-1 blockade overcomes ICI resistance by significantly enhancing the recruitment, degranulating capacity, and functional cytotoxicity of CD8+ T-cells, thereby augmenting antitumor responses and dramatically improving survival in these models. Furthermore, a patient with refractory PDAC treated off-label with this combination achieved a meaningful response. Based on this strong rationale, a phase 1 trial was initiated to test the combination of MEKi+STAT3 and PD1 inhibition in patients with metastatic PDAC. Methods: NCT05440942 is an open-label, prospective, single-institution phase 1 trial testing the safety, preliminary efficacy, and biomarkers of response to the combination of trametinib (MEKi), ruxolitinib (JAK2/STAT3 inhibitor) and retifanlimab (PD-1 inhibitor) in patients with metastatic PDAC. Patients with metastatic PDAC who have had disease progression on at least one line of prior therapy, with good organ function, preserved performance status, and without major intercurrent illness are eligible. Patients must have an accessible lesion for biopsy and must be willing to undergo this research biopsy at baseline and on treatment. Part 1 of the study is a dose-escalation phase with 3 dose levels and a target dose of trametinib 2mg orally daily, ruxolitinib 15mg orally twice daily, and retifanlimab 500mg intravenously every 28 days. The dose escalation is being done using the novel Bayesian keyboard design and 9-15 patients will be treated to get to the potential maximum tolerated dose (MTD). Dose level 1 has been completed without any dose-limiting toxicities seen. Part 2 is an expansion phase which will accrue an additional 20 patients. All patients in part 1 and 2 will have core-needle biopsies pre-treatment and after 4 weeks. Serial blood samples will be collected at baseline and on treatment. Biopsies are being analyzed by multiparameter immune profiling using mass cytometry and bulk RNA sequencing; blood is being analyzed for circulating tumor DNA and immune profiling. These results will be correlated with clinical response to therapy to determine biomarkers of response and resistance. Clinical trial information: NCT05440942 .

Interval breast cancer: radiological surveillance in screening Egyptian population

BackgroundInterval cancers might be divided into true negative interval cancer where a new lesion is detected that no sign of disease could be detected on previous screening mammogram. For false-negative interval cancers, those missed for overt symptoms and those missed for mild or undetectable ones, this includes interpretive error as benign interval cancer (benign mimics), subtle changes, masked carcinoma or slowly growing or patient factors, such as the dense breast parenchyma. Technical failure interval cancer hampered the reader to discover the abnormality. The aim of this study was to relate the risk factors for the development of the interval breast cancer such as breast density, positive family history of breast cancer in Egyptian population. Highlight the causes of missed breast cancer in order to overcome it in the future radiological interpretation.MethodsA total of 74,546 screening mammographic examinations were performed in the radiology department at specialized breast cancer center in the period between 2015 and 2021 with about 844 pathologically proved malignant cases. Out of the 844 pathologically proven breast cancer cases, 185 breast cancer patients were interval breast cancer having reported normal examination in the previous year, 88 were true interval breast cancer and 97 were missed on mammography and detected later on. The cases were subjected to full-field digital mammogram (FFDM), complementary ultrasound, contrast-enhanced digital mammography (CEDM) and magnetic resonance imaging (MRI) in some cases, and all cases were histopathologically proven by either fine needle aspiration, core needle biopsy (CNB) or open biopsy.ResultsThe mean age of the patients was 53.5 years (range 36–83 years). The overall breast cancer detection rate was 11 per 1000 women. The 185 interval cancers were present at a rate of 3.8 per 1000 women. True negative interval breast cancers where 88 cancers were not present in retrospect on screening mammograms, 17 cases present with benign findings (benign mimics mass or calcifications) and 80 cancers were missed cancers. Analysis of the cause of missed carcinoma revealed patient-related, tumor-related, or provider-related factors. Tumor factors were the most commonly encountered, accounting for 49.5% (48 cases), then provider factors in 25.8% (25 cases) while the patient factors were the least commonly encountered in 24.7% (24 cases). Recorded positive family history found in about 35% (31cases) of the true interval breast cancers.ConclusionsAlthough mammography is the standard for detecting early breast cancer, some cancers can be missed due to various causes. Mammographic interpretation must meet high standards to reduce missed cancers. Radiologists should carefully assess screening views and order additional imaging if needed. Palpable lesions and clinical data should be further examined with ultrasound and contrast imaging if necessary. Always compare current images with previous examinations to check for any changes in lesion size. When one pathology is found, search for additional lesions.

Dkk1 as a Prognostic Marker for Neoadjuvant Chemotherapy Response in Breast Cancer Patients.

To investigate the role of Dkk1 as a predictor of response to NACT in BC patients. This retrospective monocentric study included 145 women who had undergone NACT followed by breast surgery. Dkk1 protein expression was assessed using immunohistochemistry staining in core needle biopsies and mammary carcinoma specimens. Dkk1 levels were lower in treated BC tumours than in untreated tumours. The outcomes of 68 matched pre- and post-therapy tissues showed that Dkk1 levels in mammary carcinoma tissues were significantly predicted by levels in core needle biopsies and that Dkk1 expression was reduced in 83% of cases. Smaller cT stage, positive Her2 expression, and decreased Dkk1-IRS in core needle biopsy tissues were all independent predictors of regression grade (R4), according to Sinn. However, the percentage of Dkk1 expression differences prior to and following NACT had no effect on PFS or OS. In this study, we demonstrated for the first time that Dkk1 could be identified as an independent predictor of NACT response in BC patients, particularly those with TNBC. Further research with a multicentric expanded (pre-/post-therapy) sample set and better-defined populations in terms of molecular subtypes, therapy modality, and long-term follow-up is recommended to obtain more solid evidence.

Non-IgG4-Related Fibrosing Mediastinitis Diagnosed on Core Needle Biopsy and Treated with Steroids: A Case Study and Review of the Differential Diagnoses.

This study aimed to investigate the histological characteristics and treatment efficacy of non-immunoglobulin G4-related fibrosing mediastinitis and discuss differential diagnoses for this rare entity. We present a case study of non-immunoglobulin G4-related fibrosing mediastinitis diagnosed on core biopsy and treated with steroids. A total of four 18-gauge core needle biopsy specimens were obtained for surgical pathology. Analysis of the patient's medical history, radiological characteristics of fibrosing mediastinitis, histological features, immunohistochemistry results, the differential diagnosis and treatment efficacy of different types of fibrosing mediastinitis was performed. This report describes a unique presentation of fibrosing mediastinitis (syncope and weight loss) that was concerning for malignancy. Histological, laboratory and radiographical studies confirmed the diagnosis of non-immunoglobulin G4-related fibrosing mediastinitis. The patient received corticosteroid treatment which showed marked improvement after 1 month of treatment. Fibrosing mediastinitis is an extremely uncommon entity with unknown pathogenesis, and it is more important to rule out malignancy and infection than to delineate between fibrosing mediastinitis and IgG4-related disease. In doing this, we may reasonably initiate a trial of corticosteroids which may prove beneficial, as in this patient. More studies on the pathogenesis of fibrosing mediastinitis are necessary to guide better directed treatments.

Prediction of sentinel lymph node metastasis in breast cancer patients based on preoperative features: a deep machine learning approach

Sentinel lymph node (SLN) biopsy is the standard surgical approach to detect lymph node metastasis in breast cancer. Machine learning is a novel tool that provides better accuracy for predicting positive SLN involvement in breast cancer patients. This study obtained data from 2890 surgical cases of breast cancer patients from two referral hospitals in Iran from 2000 to 2021. Patients whose SLN involvement status was identified were included in our study. The dataset consisted of preoperative features, including patient features, gestational factors, laboratory data, and tumoral features. In this study, TabNet, an end-to-end deep learning model, was proposed to predict SLN involvement in breast cancer patients. We compared the accuracy of our model with results from logistic regression analysis. A total of 1832 patients with an average age of 51 ± 12 years were included in our study, of which 697 (25.5%) had SLN involvement. On average, the TabNet model achieved an accuracy of 75%, precision of 81%, specificity of 70%, sensitivity of 87%, and AUC of 0.74, while the logistic model demonstrated an accuracy of 70%, precision of 73%, specificity of 65%, sensitivity of 79%, F1 score of 73%, and AUC of 0.70 in predicting the SLN involvement in patients. Vascular invasion, tumor size, core needle biopsy pathology, age, and FH had the most contributions to the TabNet model. The TabNet model outperformed the logistic regression model in all metrics, indicating that it is more effective in predicting SLN involvement in breast cancer patients based on preoperative data.

Kinase inhibitor pulldown assay (KiP) for clinical proteomics

Protein kinases are frequently dysregulated and/or mutated in cancer and represent essential targets for therapy. Accurate quantification is essential. For breast cancer treatment, the identification and quantification of the protein kinase ERBB2 is critical for therapeutic decisions. While immunohistochemistry (IHC) is the current clinical diagnostic approach, it is only semiquantitative. Mass spectrometry-based proteomics offers quantitative assays that, unlike IHC, can be used to accurately evaluate hundreds of kinases simultaneously. The enrichment of less abundant kinase targets for quantification, along with depletion of interfering proteins, improves sensitivity and thus promotes more effective downstream analyses. Multiple kinase inhibitors were therefore deployed as a capture matrix for kinase inhibitor pulldown (KiP) assays designed to profile the human protein kinome as broadly as possible. Optimized assays were initially evaluated in 16 patient derived xenograft models (PDX) where KiP identified multiple differentially expressed and biologically relevant kinases. From these analyses, an optimized single-shot parallel reaction monitoring (PRM) method was developed to improve quantitative fidelity. The PRM KiP approach was then reapplied to low quantities of proteins typical of yields from core needle biopsies of human cancers. The initial prototype targeting 100 kinases recapitulated intrinsic subtyping of PDX models obtained from comprehensive proteomic and transcriptomic profiling. Luminal and HER2 enriched OCT-frozen patient biopsies subsequently analyzed through KiP-PRM also clustered by subtype. Finally, stable isotope labeled peptide standards were developed to define a prototype clinical method. Data are available via ProteomeXchange with identifiers PXD044655 and PXD046169.

CT-guided core needle biopsies of head and neck tumors: a comprehensive monocenter analysis of safety and outcomes.

Although core needle biopsy is an important tool in minimally invasive tissue sampling and diagnostics for head and neck masses, comprehensive data about safety and outcomes is lacking. To retrospectively evaluate the diagnostic performance and safety of computed tomography (CT)-guided percutaneous core needle biopsy of head and neck masses. This retrospective single-center study included patients from 04/2007 to 12/2021, and a total of 156 core needle biopsies were evaluated. The initial histopathological results were compared with the long-term final diagnosis to evaluate the diagnostic yield of CT-guided core needle biopsies. The patients' age, sex, and history of malignancy, as well as procedural complications and radiation exposure were collected. A total of 156 biopsies of 150 patients (mean age 56years ± 17; 89 men) were evaluated. 57.3% (86/150) of patients had a history of malignancy. 55.1% (86/156) of the lesions were accessed by an infrahyoid needle approach. 92.9% (145/156) of biopsies yielded conclusive results. There were no false positives and 4 false negatives, resulting in a total false negative rate of 2.7% (4/145) and a total diagnostic yield of 90.4% (141/156). There were nine puncture-related complications (9/156-5.7%). None of the complications required further reintervention. The average dose length product was 311.3mGy × cm. CT-guided core needle biopsies of head and neck masses showed excellent results with high diagnostic yield and clinical safety. General anesthesia for open biopsy carries a higher risk for elderly patients, and fine needle aspiration has a poor reputation in terms of its diagnostic yield. This study focuses on safety and diagnostic yield of CT-guided core needle biopsies. • CT-guided core needle biopsy in head and neck tumors was a reliable and safe procedure. • The most common cause for an inconclusive biopsy result was a shortage of tissue collected during the biopsy. • During our study period of nearly 15years, the radiation exposure of head and neck biopsies decreased.

Evaluation of expression of immunohistochemical markers high molecular weight cytokeratin (HMWCK) and alpha-methylacyl coa racemose (AMACR) in prostatic needle biopsies and transurethral resection of prostate (TURP) specimen – A one year observational study

In view of increasing incidence of Prostate cancer with age, its early detection and management is of utmost importance. Digital rectal examination, clinical picture and USG findings are non-specific. In prostatic lesions having a suspicious morphology, IHC staining (HMWCK and AMACR) is done to distinguish benign from malignant lesions. Absence of myoepithelial layer (HMWCK negative) along with cytoplasmic granular staining in glands (AMACR positive) is consistent with malignant diagnosis.To evaluate the utility of IHC markers HMWCK and AMACR in resolving morphologically suspicious foci on Prostatic needle core biopsies and TURP specimens.Observational StudyA total of 30 cases of prostatic lesions were studied. The specimens were fixed in 10% formalin and routinely processed. Haematoxylin-Eosin (H&E) and IHC staining (HMWCK and AMACR) was done in all 30 cases.Data collected was analyzed using appropriate statistical test.A total of 30 cases including 19 cases prostatic needle core biopsies and 11 cases of TURP specimens were included in our study. Histopathological diagnosis included 1 case each of Adenosis, Atypical adenomatous hyperplasia and Transitional cell metaplasia; 9 cases of BPH with suspicious foci, 4 cases of LGPIN, 3 cases of HGPIN and 11 cases Prostatic adenocarcinoma. In 5 cases including 3 cases of BPH with suspicious foci and 1 case each of adenosis and AAH, the diagnosis was changed to Prostatic Adenocarcinoma after IHC analysis. We conclude that IHC staining should be done in cases where routine H&E sections have an ambiguous morphology. HMWCK along with AMACR is a good marker combination to differentiate Benign from Malignant lesions.

Comparing ultrasound to fine needle aspiration in differentiating between benign and malignant thyroid masses

Introduction: Due to the possibility of malignancy of thyroid nodules, it is necessary to identify the type of thyroid nodule to choose the most accurate treatment possible. Objectives: Considering that there is no standard diagnostic method for masses with intermediate suspicion of malignancy, the present study was conducted to investigate the diagnostic value of ultrasound in differentiating between benign and malignant thyroid masses compared with fine needle aspiration (FNA). Patients and Methods: In this cross-sectional study, 150 patients who had been referred to an endocrinologist’s office in Bandar Abbas with a complaint of thyroid mass in 2019-2020 and had undergone ultrasound and FNA were included in the study by census. After obtaining their informed consent, the patient’s information was collected by reviewing their ultrasound and FNA reports and analyzed with descriptive and analytical tests in SPSS software version 26. Results: The sensitivity and specificity of ultrasound in detecting malignant and benign masses were 56.25% and 85.07%, respectively. The positive and negative predictive values of ultrasound were 60% and 98.27%, respectively. The number of malignant FNA reports was significantly higher in the intermediate suspicion category of patients than in patients with ultrasound results showing high suspicion of malignancy. Conclusion: Performing further diagnostic measures such as FNA and core needle biopsy after noticing an intermediate suspicion in a patient’s ultrasound seems necessary.

Percutaneous Computed Tomography (CT) Fluoroscopy-Guided Biopsy of the Spleen Using Fibrin Glue as a Sealant.

Some authors consider the risk of bleeding an absolute contraindication to percutaneous image-guided splenic puncture. While splenic punctures are mainly performed at specialized centers, no technique for the closure of the puncture tract has been broadly established. The aim of this study was to investigate the effectiveness and safety of a percutaneous image-guided biopsy of the spleen using fibrin glue to plug the tract. A total of 27 requests for splenic image-guided interventions were identified between 2010 and 2021 and considered for inclusion in our retrospective single-center study. Seven patients needed to be excluded, which left twenty patients who underwent a percutaneous computed tomography (CT) fluoroscopy-guided biopsy of a splenic lesion during this period. In all patients, a 17G coaxial needle with an 18G core biopsy needle was used. Diagnostic adequacy and accuracy were evaluated, and complications were classified using the CIRSE classification system for adverse events. Diagnostic adequacy was 100% (20/20), and a median of four samples were collected. Diagnostic accuracy was 80% (16/20). The four off-target samples included one inconclusive finding and three samples of regular spleen tissue. The overall complication rate was 5% (1/20). No mild (grade 1-2) or moderate (grade 3-4) complications occurred. One severe (grade 5-6) complication occurred. Although controversial and potentially high-risk, diagnostic percutaneous biopsies of the spleen appear to be relatively safe with the use of fibrin glue to seal the tract.

Management of Patients with Breast Biopsy under Anti-Coagulation or Anti-Platelet Therapy: Results of a Survey of German Experts

Introduction: Pre-therapeutic histologic diagnosis through image-guided core needle biopsy (CNB) or vacuum-assisted biopsy (VAB) for suspicious breast findings is a standard procedure. Despite the moderate risk of bleeding, a significant proportion of patients are on temporary or permanent anti-coagulation therapy (ACT) or anti-platelet therapy (APT). Currently, there are no established guidelines for managing biopsies in such patients, leading to varying approaches in clinical practice. Methods: An online survey was conducted among all members of the breast ultrasound working group at the German Society for Ultrasound in Medicine (DEGUM) and the working group for breast diagnostics at the German Radiology Society (DRG). It included n = 51 questions about individual risk perception of biopsy-related bleeding complications and the specific management of biopsies on ACT/APT. Results: A total of 332 experts participated, with 51.8% reporting the absence of a standardized management plan for breast biopsies on ACT/APT. Concerning specific ACT/APT medications, the survey revealed discrepancies in risk perception and management: The majority preferred discontinuing medication with directly acting oral anti-coagulants (DOACs; CNB: 66.9%; VAB: 91.1%), phenprocoumon (CNB: 74.9%; VAB: 96.7%), or therapeutic heparin (CNB: 46.1%; VAB: 72.7%). However, there was a lower inclination to discontinue acetylsalicylic acid (ASA; CNB: 15.2%; VAB: 50.3%) or prophylactic heparin (CNB: 11.9%, VAB: 36.3%). Conclusion: Breast biopsies for patients on ASA or prophylactic heparin are deemed safe and part of standard clinical practice. However, despite available feasibility studies, conducting breast biopsies on ACT medications such as DOACs or phenprocoumon appears feasible only for a minority of experts.

Now or Later? Patient Satisfaction and Anxiety Among Women Undergoing Breast Biopsies Performed the Same Day as Recommended Versus a Later Day

PurposeThe aim of this study was to determine differences in patient satisfaction and anxiety among women undergoing core-needle breast biopsies performed the same day as recommended versus a future date. MethodsAfter institutional review board exemption was granted, a survey was administered to patients at four sites on the day of imaging-guided core-needle breast biopsy. The survey was available from November 2020 through January 2022. Questions pertained to biopsy timing (same day versus later day), pre- and postbiopsy satisfaction with overall breast-care experience, biopsy wait-time satisfaction, pre- and postbiopsy anxiety, radiologist-patient communication, demographics, life stressors, breast cancer history, and risk factors. Comparisons were made between same-day and later-day biopsies by multivariable analysis. ResultsOf 974 respondents (response rate 65.6%), almost half were scheduled for same-day biopsies (47.8% [466 of 974]). In multivariate analyses, same-day biopsies were associated with higher prebiopsy overall breast-care satisfaction (P < .001), higher wait-time satisfaction (P < .001), and higher prebiopsy (P = .001) and postbiopsy anxiety (P = .001). Better radiologist-patient communication was associated with lower prebiopsy anxiety (P < .001) and greater prebiopsy overall (P < .001) and wait-time (P < .001) satisfaction. Compared with White women, Black women reported lower postbiopsy anxiety (P < .001) but also lower prebiopsy satisfaction (P = .03) and wait-time satisfaction (P < .001). ConclusionsSame-day versus later-day biopsies resulted in better prebiopsy overall breast-care and wait-time patient satisfaction scores; however, no satisfaction differences were noted after biopsy. Clinically significant anxiety was associated with both same- and later-day biopsies but was higher for same-day biopsies. Higher anxiety levels correlated with lower overall satisfaction, suggesting that interventions to reduce anxiety and improve communication could improve patient experiences during same-day biopsies.

The Accuracy of Breast Cancer Diagnostic Tools.

Background Breast cancer (BC)remains a significant health concern,leadingtoillnessanddeathamong womenglobally. Itisessential to detectBCearly usingimagingtechniquesthataccurately reflectthe final pathology, guiding suitable intervention strategies. Objectives This study aimed toevaluatetheagreementbetween radiological findings and histopathological resultsinBCcases. Methods We conducted aretrospective reviewofbreast core needle biopsies (CNBs)inwomenover a six-year period (2017-2022) at Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. The pathologicaldiagnoses were compared with thefindingsfrompreceding radiological investigations.We also compared the tumour sizes inthe resection specimenswiththeir radiologicalcounterparts. Results A total of 641 cases were includedin the study.Ultrasound (US),mammography,andmagnetic resonance imaging (MRI)yieldeddiagnostic accuracies of 85%, 77.9%, and 86.9%,respectively. MRIhadthe highest sensitivityat72.2%, while US hadthe lowestat61%. MRI provided the best agreementwiththefinalresected tumor size. By contrast,mammographytended to overestimate the size (41.9%), and US most frequently underestimated it(67.7%).The connectionbetween basal-like molecular subtypes and the Breast Imaging Reporting and Data System (BIRADS)-5 classifications wasonlystatistically significantfor MRI (p=0.04). The luminal subtypewas more likely to showspeculation in mammography.Meanwhile,BIRADS-4revealedaconsiderablenumber of benign pathologiesacrossall the threemodalities. Conclusions MRIdemonstrated thehighestaccuracy,sensitivity, specificity,andpositive predictive value (PPV) fordiagnosingandestimating the tumorsize.Mammographyoutperformed US in terms of sensitivityandyielded thehighestnegative predictive value (NPV). US, meanwhile, offered superiorspecificity, PPV,and accuracy. Therefore, combiningthese diagnostic methods could yield significant benefits.

Artificial Intelligence-Enabled Prostate Cancer Diagnosis and Prognosis: Current State and Future Implications.

In this modern era of digital pathology, artificial intelligence (AI)-based diagnostics for prostate cancer has become a hot topic. Multiple retrospective studies have demonstrated the benefits of AI-based diagnostic solutions for prostate cancer that includes improved prostate cancer detection, quantification, grading, interobserver concordance, cost and time savings, and a potential to reduce pathologists' workload and enhance pathology laboratory workflow. One of the major milestones is the Food and Drug Administration approval of Paige prostate AI for a second review of prostate cancer diagnosed using core needle biopsies. However, implementation of these AI tools for routine prostate cancer diagnostics is still lacking. Some of the limiting factors include costly digital pathology workflow, lack of regulatory guidelines for deployment of AI, and lack of prospective studies demonstrating the actual benefits of AI algorithms. Apart from diagnosis, AI algorithms have the potential to uncover novel insights into understanding the biology of prostate cancer and enable better risk stratification, and prognostication. This article includes an in-depth review of the current state of AI for prostate cancer diagnosis and highlights the future prospects of AI in prostate pathology for improved patient care.

Enhancing Ki-67 Prediction in Breast Cancer: Integrating Intratumoral and Peritumoral Radiomics From Automated Breast Ultrasound via Machine Learning

Rationale and ObjectivesTraditional Ki-67 evaluation in breast cancer (BC) via core needle biopsy is limited by repeatability and heterogeneity. The automated breast ultrasound system (ABUS) offers reproducibility but is constrained to morphological and echoic assessments. Radiomics and machine learning (ML) offer solutions, but their integration for improving Ki-67 predictive accuracy in BC remains unexplored. This study aims to enhance ABUS by integrating ML-assisted radiomics for Ki-67 prediction in BC, with a focus on both intratumoral and peritumoral regions. Materials and MethodsA retrospective analysis was conducted on 936 BC patients, split into training (n=655) and testing (n=281) cohorts. Radiomics features were extracted from intra- and peritumoral regions via ABUS. Feature selection involved Z-score normalization, intraclass correlation, Wilcoxon rank sum tests, minimum redundancy maximum relevance, and least absolute shrinkage and selection operator logistic regression. ML classifiers were trained and optimized for enhanced predictive accuracy. The interpretability of the optimized model was further augmented by employing Shapley additive explanations (SHAP). ResultsOf the 2632 radiomics features in each patient, 15 were significantly associated with Ki-67 levels. The support vector machine (SVM) was identified as the optimal classifier, with area under the receiver operating characteristic curve values of 0.868 (training) and 0.822 (testing). SHAP analysis indicated that five peritumoral and two intratumoral features, along with age and lymph node status, were key determinants in the predictive model. ConclusionIntegrating ML with ABUS-based radiomics effectively enhances Ki-67 prediction in BC, demonstrating the SVM model's strong performance with both radiomics and clinical factors.

Imaging Changes and Outcomes of Patients Undergoing Active Monitoring for Ductal Carcinoma In Situ: Seven-Year Follow-up Study

Rationale and ObjectiveTo determine the imaging changes and their associated positive predictive value (PPV) for invasive breast cancer in women undergoing active monitoring for DCIS. Materials and MethodsIn this seven-year follow-up retrospective IRB-exempted cohort study, we reviewed patients diagnosed with DCIS who elected active monitoring between 2003 to 2022 at a single academic institution. Imaging characteristics, histopathology at initial diagnosis, and subsequent follow-up were recorded. Low-risk DCIS was defined as low or intermediate grade and hormone receptor (HR) positive (estrogen and/or progesterone receptor positive) disease diagnosed in women at least 40 years of age. Progression was defined as subsequent ipsilateral invasive breast cancer diagnosis. ResultsThere were 39 patients with a median age of 58.4 years (IQR: 51.1 – 69.6 years) and a median follow-up of 4.3 years (range: 0.6-16.4 years). Nearly two thirds of patients (64%, 25/39) had stable imaging (range: 0.6-16.4 years) and remained progression-free during active monitoring. Among the remaining 14 patients (36%) there were 24 imaging findings which prompted 22 subsequent core needle biopsies (range: 1-3 biopsies per patient) and two surgical biopsies. The positive predictive value (PPV) of invasive cancer was 29% (7/24) overall and 38% (3/8) for masses, 33% (3/9) for calcifications, 17% (1/6) for non-mass enhancement, and 0% (0/1) for architectural distortion. ConclusionsOf the radiographic changes prompting an additional biopsy, development of a new mass (38%) and new calcifications (33%) had the highest PPV for invasive progression. Close imaging follow-up should be a critical component for patients undergoing monitoring for DCIS.

The Diagnostic Role of Repeated Biopsy of Thyroid Nodules with Atypia of Undetermined Significance with Architectural Atypia on Core-Needle Biopsy.

We aimed to evaluate the utility of repeat biopsy of thyroid nodules classified as atypia of undetermined significance with architectural atypia (IIIB) on core-needle biopsy (CNB). This retrospective study evaluated patients with thyroid nodules categorized as IIIB on CNB between 2013 and 2015. Demographic characteristics, subsequent biopsy results, and ultrasound (US) images were evaluated. The malignancy rates of nodules according to number of CNBs and the number of IIIB diagnoses was compared. Demographic and US features were evaluated to determine factors predictive of malignancy. Of 1,003 IIIB nodules on CNB, the final diagnosis was determined for 328 (32.7%) nodules, with 121 of them confirmed as malignant, resulting in a malignancy rate of 36.9% (95% confidence interval, 31.7% to 42.1%). Repeat CNB was performed in 248 nodules (24.7%), with 75 (30.2%), 131 (52.8%), 13 (5.2%), 26 (10.5%), one (0.4%), and two (0.8%) reclassified into categories II, IIIB, IIIA, IV, V, and VI, respectively. Malignancy rates were not significantly affected by the number of CNBs (P=0.291) or the number of IIIB diagnoses (P=0.473). None of the nodules confirmed as category II on repeat CNB was malignant. US features significantly associated with malignancy (P<0.003) included solid composition, irregular margins, microcalcifications, and high suspicion on the US risk stratification system. Repeat biopsy of nodules diagnosed with IIIB on CNB did not increase the detection of malignancy but can potentially reduce unnecessary surgery. Repeat biopsy should be performed selectively, with US features guiding the choice between repeat biopsy and diagnostic surgery.

Ultrasound Guided Biopsy among Patients with Lung Lesions Undergoing Procedures in Interventional Radiology of a Tertiary Care Centre.

Minimally invasive image-guided percutaneous core needle biopsy can obtain tissue samples for diagnosis of subpleural lung cancer, which is crucial for the correct management of lung lesions. Common complications of lung biopsy include pneumothorax, parenchymal haemorrhage and haemoptysis. The study aimed to determine the prevalence of ultrasound-guided biopsy among patients with lung lesions undergoing procedures in interventional radiology of a tertiary care centre. A descriptive cross-sectional study was performed in the Department of Radiology and Imaging from 1 August 2018 to 30 September 2019 after obtaining ethical approval from the Institutional Review Committee. USG-guided biopsy of peripheral lung lesions was performed with an 18 gauge semiautomatic biopsy instrument and a 17 gauge coaxial needle. A convenience sampling method was used. The point estimate was calculated at a 95% Confidence Interval. Among 188 biopsy of lung lesions, ultrasound-guided biopsies were performed in 28 (14.89%) (9.80-19.98, 95% Confidence Interval). The prevalence of ultrasound guided biopsy among lung lesions is lower than other studies done in similar settings. biopsy; interventional radiology; lung neoplasms; prevalence.