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* Context.--Breast carcinoma grade, as determined by the Nottingham Grading System (NGS), is an important criterion for determining prognosis. The NGS is based on 3 parameters: tubule formation (TF), nuclear pleomorphism (NP), and mitotic count (MC). The advent of digital pathology and artificial intelligence (AI) have increased interest in virtual microscopy using digital whole slide imaging (WSI) more broadly. Objective.--To compare concordance in breast carcinoma grading between AI and a multi-institutional group of breast pathologists using digital WSI. Design.--We have developed an automated NGS framework using deep learning. Six pathologists and AI independently reviewed a digitally scanned slide from 137 invasive carcinomas and assigned a grade based on scoring of the TF, NP, and MC. Results.--Interobserver agreement for the pathologists and AI for overall grade was moderate ([kappa] = 0.471). Agreement was good ([kappa] = 0.681), moderate ([kappa] = 0.442), and fair ([kappa] = 0.368) for grades 1, 3, and 2, respectively. Observer pair concordance for AI and individual pathologists ranged from fair to good ([kappa] = 0.313-0.606). Perfect agreement was observed in 25 cases (27.4%). Interobserver agreement for the individual components was best for TF ([kappa] = 0.471 each) followed by NP ([kappa] = 0.342) and was worst for MC ([kappa] = 0.233). There were no observed differences in concordance amongst pathologists alone versus pathologists + AI. Conclusions.--Ours is the first study comparing concordance in breast carcinoma grading between a multi-institutional group of pathologists using virtual microscopy to a newly developed WSI AI methodology. Using explainable methods, AI demonstrated similar concordance to pathologists alone. doi: 10.5858/arpa.2021-0299-OA, Over the years, microscopic evaluation of hematoxylin-eosin-stained slides from patient samples has been the gold standard for cancer diagnosis and grading of malignancy. The Nottingham Grading System (NGS) is widely [...]

Endometrial stromal sarcoma (ESS) is a rare malignancy arising from the stromal cells of the endometrium. We present a case of a 38-year-old female who was admitted to the Emergency Room (ER) with heavy and foulsmelling vaginal bleeding. Further workup (examination) revealed a bulky uterus with a fibroid extending into the cervix. Ultrasound and MRI pelvis showed a large submucosal uterine fibroid with concerning features of possible rupture. The patient underwent total abdominal hysterectomy with bilateral salpingectomy. Intraoperatively, the fibroid was found to be necrotic and macerated, coming out of the cervical os. Histopathology examination revealed a low-grade ESS. The patient was discharged in stable condition. Follow-up imaging and clinical evaluations have shown no evidence of recurrence at three-months post-surgery. [ABSTRACT FROM AUTHOR]

Background Core needle biopsy (CNB) for fibroepithelial lesions (FELs) of the breast is commonly encountered by histopathologists. The distinction between fibroadenoma (FA) and phyllodes tumor (PT) can be challenging due to overlapping histological features and the limited nature of CNB material.  Objective This study aimed to assess the accuracy of CNB diagnosis of FA and PT by comparing it with a diagnosis on subsequent surgical excision specimen. Materials and methods A total of 166 cases of FELs of the breast who underwent CNB and subsequent surgical excision between January 2001 and December 2020 were included in our study. All microscopy glass slides were reviewed, and diagnosis confirmed. Results While 125 (75%) cases based on CNB received a definitive diagnosis of either fibroadenoma or PT, the remaining 41 (25%) cases were better classified on excision specimens and were descriptively diagnosed as fibroepithelial lesions on CNB. Diagnoses on CNB and on subsequent excision specimens were concordant in 113 (90.4%) cases. Among 12 cases that were discordant, three cases diagnosed as FA on CNB were upgraded to PT on excision specimens. Nine cases diagnosed as PT on CNB were diagnosed as FA on excision specimens. These included conventional, cellular, juvenile, and complex FA types. Three PTs, which were reported as FA on CNB, measured 6, 12.5, and 17.5 cm in the greatest dimension. Among 23 cases of PT which were further categorized on CNB, tumor categories changed on excision specimens in three cases. The diagnostic accuracy of CNB diagnosis was 90.4%. Conclusion CNB diagnosis showed good accuracy. PT diagnosis should be strongly considered in all tumors measuring >5 cm, especially those exceeding 10 cm. Cellular, juvenile, and complex FAs can be misdiagnosed as PT on CNB. Correlation with clinical and radiological findings can be helpful in establishing correct diagnosis., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Institutional Ethics Review Committee of Aga Khan University Hospital, Karachi issued approval 2023-6988-24562. The study was performed by reviewing the archived microscopy slides of already diagnosed cases and no identifying information (in the text or image) was included. Exemption from approval was granted by the institutional ethics review committee. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Tariq et al.)