The Hôtel-Dieu MRI Classification of Uterosacral Ligament Involvement in Endometriosis: A Pictorial Guide to Clinical Use.

Endometriosis is a common gynecologic condition characterized by the presence of endometrial-like tissue outside the uterus, often leading to pelvic pain and infertility. Diagnosis is frequently delayed, with prolonged diagnostic wandering that could be improved through enhanced first-line radiologic assessment. The uterosacral ligament (USL) is the most frequent site of deep infiltrating endometriosis (DIE).

Focal Area of Low T2 Signal on MRI Scans in a Heterogeneous Uterine Leiomyoma Does Not Exclude the Possibility of Malignancy: A Report of Two Cases.

Uterine sarcomas are uncommon malignant tumors with a grim prognosis, accounting for less than 1% of all gynecologic malignancies. Radiological series often include a limited number of patients, and diagnostic approaches can vary. While the presence of low T2 signal intensity in leiomyomas on MRI has been proposed as a criterion to exclude sarcoma, exceptions to this rule exist.

A preoperative computed tomography radiomics model to predict disease-free survival in patients with pancreatic neuroendocrine tumors.

Importance: Imaging has demonstrated capabilities in the diagnosis of pancreatic neuroendocrine tumors (pNETs), but its utility for prognostic prediction has not been elucidated yet.

Objective: The aim of this study was to build a radiomics model using preoperative computed tomography (CT) data that may help predict recurrence-free survival (RFS) or OS in patients with pNET.

Design: We performed a retrospective observational study in a cohort of French patients with pNETs.

Learning from the machine: AI assistance is not an effective learning tool for resident education in chest x-ray interpretation.

Objectives: To assess whether a computer-aided detection (CADe) system could serve as a learning tool for radiology residents in chest X-ray (CXR) interpretation.

Methods: Eight radiology residents were asked to interpret 500 CXRs for the detection of five abnormalities, namely pneumothorax, pleural effusion, alveolar syndrome, lung nodule, and mediastinal mass. After interpreting 150 CXRs, the residents were divided into 2 groups of equivalent performance and experience.