Radiology

Accuracy of Large Language Model–based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports

A hybrid large language model (LLM)–based application, optimized by combining LLM feature classification with deterministic elements, accurately assigned Ovarian-Adnexal Reporting and Data System MRI scores from adnexal lesion descriptions and outperformed originally reporting radiologists.

The Ovarian-Adnexal Reporting and Data System (O-RADS) US Score Effect on Surgical Resection Rate

Among ovarian and adnexal lesions surgically removed before 2015, a large proportion were retrospectively assessed as Ovarian-Adnexal Imaging Reporting and Data System US 2, which may have allowed for more conservative management in these patients.

Resorbable Microspheres versus Trisacryl Gelatin Microspheres for Uterine Artery Embolization: A Randomized Controlled Trial

When used for uterine artery embolization for symptomatic fibroids, resorbable microspheres showed no evidence of a difference from trisacryl gelatin microspheres in terms of therapeutic effectiveness or postprocedural pain scores.

The Roles of Ovarian-Adnexal Reporting and Data System US and Ovarian-Adnexal Reporting and Data System MRI in the Evaluation of Adnexal Lesions

Ovarian-Adnexal Reporting and Data System US and MRI provide evidence-based lexicons and risk assessment systems that can accurately diagnose most adnexal lesions as benign and effectively risk stratify those that are suspicious for malignancy.

Fluorine 18 Fluorodeoxyglucose PET/CT Findings in Gorlin-Goltz Syndrome

CT of Ovarian Cancer for Primary Treatment Planning: What the Surgeon Needs to Know—Radiology In Training

A 60-year-old woman presented with intermittent abdominal pain, an elevated serum CA-125 level, and an abnormal CT examination and was ultimately diagnosed with advanced-stage high-grade serous ovarian cancer. Key tumor locations on CT scans that should be highlighted by the radiologist to guide treatment selection are discussed.

Imaging in Advanced Epithelial Ovarian Cancer: Assessment of Peritoneal Spread

Radiologists use CT, along with diffusion-weighted MRI and sometimes PET, to assess disease extent, including peritoneal carcinomatosis, in advanced ovarian cancer, preferably applying systematic image interpretation and disease-specific structured reporting to enhance communication and support decision-making.

The Radiologist at the Forefront of Management of Ovarian and Adnexal Lesions

Research Reveals a Potential Role for MR Elastography in Preoperative Evaluation of Endometrial Cancer

Tumor Stiffness Measurement at Multifrequency MR Elastography to Predict Lymphovascular Space Invasion in Endometrial Cancer

A diagnostic model combining tumor stiffness measured at MR elastography with clinical-radiologic variables showed the best performance for predicting lymphovascular space invasion in participants with endometrial cancer.

MRI-based Radiomics Models for Pretreatment Risk Stratification of Endometrial Cancer

MRI-based Ovarian Lesion Classification via a Foundation Segmentation Model and Multimodal Analysis: A Multicenter Study

Combining the Segment Anything Model with a deep learning classifier produced an efficient pipeline for classifying MRI ovarian lesions, improving segmentation speed and matching radiologists’ classification performance.

Progress in the Search for an Effective Resorbable Embolic Material for Uterine Fibroid Embolization

Incidental Adnexal Lesions: CT Diagnosis and Interreader Agreement

Even among nine expert readers, CT diagnosis was not reproducible and was frequently incorrect for most adnexal lesion types, excluding dermoids, malignant ovarian lesions with metastases, and simple cysts.