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Mesonephric and Mesonephric-like Adenocarcinomas of the Gynecologic Tract: A Case Series and a Review of the Literature.
Int J Gynecol Pathol
January 2025
Department of Obstetrics & Gynecology, Division of Gynecologic Oncology.
We sought to present and describe all cases of mesonephric adenocarcinoma (MNAC) and mesonephric-like adenocarcinomas (MLAs) at our institution. These cancers are rare, morphologically similar tumors of the female reproductive tract. In this case series, we present 13 new cases of MNAC/MLA that were identified at St.
View Article and Find Full Text PDFSurgical management of endometrial cancer in patient with musculocontractural Ehlers-Danlos Syndrome harboring pathogenic variants in CHST14 (mcEDS-CHST14): A case report.
Gynecol Oncol Rep
February 2025
Department of Obstetrics and Gynecology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.
Introduction: Musculocontractural Ehlers-Danlos syndrome (mcEDS) is a rare autosomal recessive connective tissue disorder caused by systemic depletion of dermatan sulfate. Symptoms characteristic of mcEDS include multiple contractures, fragile skin with subcutaneous bleeding, and hypermobile joints, which suggest difficulty in perioperative management. However, safe surgical techniques and perioperative management of this disorder remain unknown because of its rarity.
View Article and Find Full Text PDFRadical tumor resection of a relapsed high-grade endometrial stromal sarcoma with an extremely rare mutation: a case report.
AME Case Rep
November 2024
Third Department of Obstetrics and Gynecology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Background: Endometrial stromal sarcomas (ESS) are rare uterine mesenchymal tumors that histologically resemble endometrial stroma of functioning endometrium. The key characteristic of those tumors is the difficulty to diagnose preoperatively that leads to high rate of misdiagnosis. The aim of this case report is to present an extremely rare mutation of these already rare tumors and urge for more personalized therapies in the future.
View Article and Find Full Text PDFAn automatic cervical cell classification model based on improved DenseNet121.
Sci Rep
January 2025
Department of Biomedical Engineering, School of Life Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China.
The cervical cell classification technique can determine the degree of cellular abnormality and pathological condition, which can help doctors to detect the risk of cervical cancer at an early stage and improve the cure and survival rates of cervical cancer patients. Addressing the issue of low accuracy in cervical cell classification, a deep convolutional neural network A2SDNet121 is proposed. A2SDNet121 takes DenseNet121 as the backbone network.
View Article and Find Full Text PDF[Solid, endometrial-like and transitional growth patterns of ovarian high-grade serous carcinoma: a clinicopathological analysis of 25 cases].
Zhonghua Bing Li Xue Za Zhi
February 2025
Department of Pathology, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, China.
To investigate the clinicopathological characteristics of solid, endometrial-like and transitional (SET) cell growth subtype in high-grade serous ovarian carcinoma (HGSC). Clinical data of 25 cases of HGSC-SET were collected from January 2020 to March 2024 at the Affiliated Suzhou Hospital of Nanjing Medical University, and their histological features were analyzed. Immunohistochemical stains were used to analyze the expression of ER, PR, PAX8, WT-1, p16, p53 and Ki-67.
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