The purpose of this study is to assess the positive predictive value (PPV) for malignancy of core needle biopsy (CNB) demonstrating lobular neoplasia (LN). From 3920 CNBs, 35 (0.89%) LNs (14 atypical lobular hyperplasia - ALH - and 21 lobular carcinoma in situ - LCIS) were identified. Twenty-eight patients underwent surgical excision and seven radiologic follow-up. We describe the imaging findings and excision histology outcomes. We report the PPV for malignancy based on excision histology (n=28) and on excision or follow-up (n=35), and according to the histologic type, biopsy probe and guidance, lesion diameter, and BI-RADS category. PPV for malignancy (based on excision histology) was 46.4% (13/28) and PPV (based on excision or follow-up) was 37.1% (13/35). The overall rate of malignancy for LN was 37.1% (13/35), with a PPV for malignancy of ALH and LCIS of 7.1% (1/14) and 57.1% (12/21), respectively (p=0.003). Estimates of the PPV for malignancy were: stereotactic-guided vacuum-assisted biopsy (22.7%) versus ultrasound-guided automated CNB (61.5%), p=0.053; lesions<20mm (31.2%) versus lesions>20mm (100%), p=0.043; lesions classified as BI-RADS 3 (16.7%) versus BI-RADS 4 or 5 (41.4%), p=0.377. Underestimation of malignancy was therefore more likely in cases of LCIS, US-guided CNB, and lesions that were large and suspicious on imaging. Nevertheless, the absence of these features does not spare the need for surgical excision in lobular neoplasia diagnosed on CNB.
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http://dx.doi.org/10.1016/j.breast.2008.05.007 | DOI Listing |
J Biomed Opt
January 2025
McGill University, Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada.
Significance: Maximal safe resection of brain tumors can be performed by neurosurgeons through the use of accurate and practical guidance tools that provide real-time information during surgery. Current established adjuvant intraoperative technologies include neuronavigation guidance, intraoperative imaging (MRI and ultrasound), and 5-ALA for fluorescence-guided surgery.
Aim: We have developed intraoperative Raman spectroscopy as a real-time decision support system for neurosurgical guidance in brain tumors.
J Clin Med
January 2025
Precision Medicine Unit, Department of Gastroenterology, São João University Hospital, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal.
Several artificial intelligence systems based on large language models (LLMs) have been commercially developed, with recent interest in integrating them for clinical questions. Recent versions now include image analysis capacity, but their performance in gastroenterology remains untested. This study assesses ChatGPT-4's performance in interpreting gastroenterology images.
View Article and Find Full Text PDFAnn Clin Lab Sci
November 2024
Department of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA
Objective: Urinary cytology is a key diagnostic tool for evaluating suspected urinary tract carcinoma, primarily high-grade urothelial carcinoma. The Paris System for Reporting Urinary Cytology (TPS), introduced in 2016, aimed to standardize reporting, though challenges with subjectivity and variability in diagnosing Atypical Urothelial Cells (AUCs) persist.
Methods: This retrospective study explored the correlation between cytomorphological features in "atypical" diagnosis and UroVysion fluorescence hybridization (U-FISH) results.
J Gynecol Oncol
January 2025
Department of Gynecologic Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Objective: To determine the accuracy of aspiration biopsy (AB), hysteroscopic biopsy (HB), and dilatation & curettage (D&C) in detecting uterine carcinosarcoma (UCS).
Methods: Pathology reports were retrieved from the Dutch Nationwide Pathology Databank PALGA for patients with a certain or suggested diagnosis of UCS in pre- and/or postoperative histology between 2001 and 2021. Patients without available pre- or postoperative pathology reports were excluded.
BMC Res Notes
January 2025
Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjadjaran-Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Objectives: This study investigates the performance of artificial intelligence (AI) technology, namely Cerviray AI, compared with Cerviray expert, aiming to compare its sensitivity, specificity, positive predictive value (PPV), and area under the receiver operating characteristic curve (AUC ROC). The Visual Inspection with Acetic Acid (VIA) test is used as the gold standard.
Results: The study involved 44 patients from various health centers in West Java Province.
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