In recent years, it has become clear that artificial intelligence (AI) models can achieve high accuracy in specific pathology-related tasks. An example is our deep-learning model, designed to automatically detect serous tubal intraepithelial carcinoma (STIC), the precursor lesion to high-grade serous ovarian carcinoma, found in the fallopian tube. However, the standalone performance of a model is insufficient to determine its value in the diagnostic setting.
View Article and Find Full Text PDFPurpose: BIOEMBRACE was designed to study the impact of biomarkers in addition to clinicopathological factors on disease outcomes in patients treated with chemoradiation and magnetic resonance imaging (MRI)-guided brachytherapy (BT) for locally advanced cervical cancer in the EMBRACE study.
Methods And Materials: Between 2018 and 2021, 8 EMBRACE-I sites contributed tumor tissue for the immunohistochemistry of p16, PD-L1, and L1CAM. These biomarkers and clinicopathological factors (International Federation of Gynecology and Obstetrics 2009 stage, nodal status, histology, and necrosis on MRI) were analyzed to predict poor response at BT (high-risk clinical target volume [HR-CTV] ≥ 40 cc) at BT) and 5-year local control, pelvic control, and disease-free survival.
Medical use of (non-)thermal plasmas is an emerging field in gynaecology. However, data on plasma energy dispersion remain limited. This systematic review presents an overview of plasma devices, fields of effective application, and impact of use factors and device settings on tissues in the female pelvis, including the uterus, ovaries, cervix, vagina, vulva, colon, omentum, mesenterium, and peritoneum.
View Article and Find Full Text PDFIntroduction: Immunostaining with p16 (p16), a tumor-suppressor surrogate protein biomarker for high-risk human papillomavirus (hrHPV) oncogenic activity, may complement standard hematoxylin and eosin (H&E) histology review, and provide more objective criteria to support the cervical intraepithelial neoplasia (CIN) diagnosis. With this study we assessed the impact of p16 immunohistochemistry on CIN grading in an hrHPV-based screening setting.
Material And Methods: In this post-hoc analysis, 326 histology follow-up samples from a group of hrHPV-positive women were stained with p16 immunohistochemistry.
Aims: Invasive cribriform and intraductal carcinoma (IDC) are associated with adverse outcome in prostate cancer patients, with the large cribriform pattern having the worst outcome in radical prostatectomies. Our objective was to determine the impact of the large and small cribriform patterns in prostate cancer biopsies.
Methods And Results: Pathological revision was carried out on biopsies of 1887 patients from the European Randomised Study of Screening for Prostate Cancer.