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Evaluation of Pelvic Pathology of Subfertile Women by Transvaginal Sonography and Correlation with Laparoscopic Findings.
Mymensingh Med J
January 2025
Dr Mariam Akter Sumi, Registrar, Infertility, Mymensingh Medical College Hospital (MMCH), Bangladesh; E-mail:
Damage of fallopian tube, endometriosis, fibroid uterus, adenomysis and polycystic ovary syndrome are the major pelvic pathology that causes subfertility. Although there are many diagnostic tests available, the clinical presentation of each patient can usually be linked to specific and efficient testing strategies. Transvaginal sonographic (TVS) imaging is an effective, easy to use, safe and readily available noninvasive means to evaluate fertility potential.
View Article and Find Full Text PDFEnhancing decision-making in tubal ectopic pregnancy using a machine learning approach to expectant management: a clinical article.
BMC Pregnancy Childbirth
December 2024
Department of Obstetrics and Gynecology, Meir Medical Center, Kfar Saba, Israel.
Article Synopsis
- The study aimed to enhance decision-making for managing ectopic pregnancy (EP) using a machine learning model.
- It analyzed data from stable patients with ampullar EP from 2014 to 2022, employing a Decision Tree Classifier that achieved 89% accuracy and high metrics for predicting treatment success.
- The findings suggest that this model could be a useful tool in clinical settings to predict the outcomes of expectant management based on specific clinical factors.
A Nomogram Model for Predicting Clinical Pregnancy after Fresh IVF/ICSI-ET in Patients with Infertility and Endometriosis.
J Coll Physicians Surg Pak
December 2024
Reproductive Medicine Centre, Jiangxi Provincial Maternal and Child Health Hospital, Nanchang, China.
Objective: To determine the clinical and embryo laboratory factors that affect the clinical pregnancy rate of infertile patients with endometriosis (EMs), and establish a model for predicting clinical pregnancy.
Study Design: An observational study. Place and Duration of the Study: Reproductive Medicine Centre, Jiangxi Provincial Maternal and Child Health Hospital, China, from January 2016 to December 2023.
Magnetic resonance imaging characteristics of ovarian torsion: insights into diagnostic features.
Abdom Radiol (NY)
November 2024
Bezmiâlem Vakıf Üniversitesi, Istanbul, Turkey.
Purpose: We aimed to describe the magnetic resonance imaging (MRI) features of adnexal torsion, additional radiological findings and apparent diffusion coefficient (ADC) measurements of the affected and non-affected ovaries.
Methods: We retrospectively examined the MRI of 34 torsed adnexa of 34 cases. We specifically examined the peripherally displaced follicle sign, stromal edema, lack of stromal contrast enhancement, follicular rim sign, T2 hypointense rim sign, uterine deviation, adnexal displacement, whirlpool sign, T2 hypointense dot sign, and tubal thickening.
Assessing the impact of deep-learning assistance on the histopathological diagnosis of serous tubal intraepithelial carcinoma (STIC) in fallopian tubes.
J Pathol Clin Res
November 2024
Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
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.
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