Validating the diagnostic accuracy of an MRI-based scoring system for differentiating benign uterine leiomyomas from leiomyosarcomas

• Published in: International journal of gynecological cancer Vol. 34; no. 7; p. 1027
• Main Authors: Al Khuri, Maryam, Al Salmi, Ishaq, Al Ajmi, Hawra, Al Hadidi, Aymen, Alabousi, Abdullah, Haider, Ehsan, Vasudev, Pooja, Al Salmi, Ahmed, Jose, Sachin, Alrahbi, Nasser
• Format: Journal Article
• Language: English
• Published: England BMJ Publishing Group LTD 01.07.2024
• Subjects: Accuracy; Adult; Aged; Diagnosis, Differential; Female; Fibroids; Humans; Hysterectomy; Leiomyoma - diagnostic imaging; Leiomyoma - pathology; Leiomyosarcoma - diagnosis; Leiomyosarcoma - diagnostic imaging; Leiomyosarcoma - pathology; Magnetic Resonance Imaging - methods; Medical prognosis; Middle Aged; Patients; Retrospective Studies; Sensitivity and Specificity; Smooth muscle; Software; Statistical analysis; Tumors; Uterine cancer; Uterine Neoplasms - diagnosis; Uterine Neoplasms - diagnostic imaging; Uterine Neoplasms - pathology; Vagina; Oman; Uterine Cancer; Uterine Neoplasms; Uterus; Gynecology

Uterine leiomyomas are the most common benign uterine tumors. They are difficult to distinguish from their malignant counterparts-smooth muscle tumors of unknown malignant potential (STUMP) and leiomyosarcoma. The purpose of this study is to propose and validate the diagnostic accuracy of the MRI-ba...