Automated detection of early-stage osteonecrosis of the femoral head in adult using YOLOv10: Multi-institutional validation.

Objectives: To develop a deep learning model based on the You Only Look Once version 10 (YOLOv10) for detecting early-stage ONFH in adult using radiographs.

Methods: A retrospective database study enrolled patients with ONFH classified as the stage I-II by the Association Research Circulation Osseous (ARCO) staging system based on MRI, and with Kellgren-Lawrence (KL) grade ≤ 1, as the positive group. In negative group, femoral head exhibited normal or KL grade 1 changes.

Proton density fat fraction measurements of rotator cuff muscles: Accuracy, repeatability, and reproducibility across readers and scanners.

Purpose: To determine the accuracy, repeatability, and reproducibility of magnetic resonance imaging-based proton density fat fraction (MRI-PDFF) measurements of rotator cuff muscles between two readers and three different scanners.

Methods: Twenty-seven volunteers underwent serial shoulder MRI examinations of both left and right sides on one 1.5-T MRI scanner and two 3.

An MRI-Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors.

Background: Preoperative discrimination between malignant and benign sinonasal tumors is important for treatment plan selection.

Purpose: To build and validate a radiomic nomogram for preoperative discrimination between malignant and benign sinonasal tumors.

Study Type: Retrospective.