Reproducibility of MRI Diagnosis of Female Genital Anomalies.

Purpose: To assess and compare intrareader and interreader reproducibility of magnetic resonance imaging (MRI) diagnosis of female genital anomalies (FGAs) using the American Society for Reproductive Medicine-Mullerian anomalies classification 2021 (ASRM-MAC 2021) and European Society of Human Reproduction and Embryology-European Society for Gynecological Endoscopy (ESHRE-ESGE) 2016 classification. Methods: In this retrospective study, we searched our electronic MRI database from April 2021 to September 2023, selecting MRI studies with FGAs. Seventy-six consecutive studies were included and reviewed by 4 independent radiologists using both classifications. Studies were re-evaluated after 1 month. Reproducibility was assessed using kappa (κ) scores with 95% confidence intervals (CI). Results: Intrareader agreement for MRI diagnosis of FGAs was substantial to excellent, with κ scores ranging from 0.684 (95% CI, 0.534-0.834) to 0.985 (95% CI, 0.963-1.01) using the ASRM-MAC 2021 and from 0.743 (95% CI, 0.621-0.865) to 0.846 (95% CI, 0.719-0.973) using the ESHRE-ESGE 2016 classification. Pairwise interreader agreement was higher with the ASRM-MAC 2021, ranging from moderate (κ = 0.491; 95% CI, 0.341-0.642) to substantial (κ = 0.709; 95% CI, 0.597-0.821), compared to the ESHRE-ESGE 2016 classification, with weak (κ = 0.080; 95% CI, 0.068-0.228) to moderate (κ = 0.511; 95% CI, 0.344-0.678) agreement. Overall interreader agreement was moderate for both classifications (κ = 0.599; 95% CI, 0.562-0.638 for ASRM-MAC 2021 and κ = 0.429; 95% CI, 0.396-0.463 for ESHRE-ESGE 2016 classification), but with significant differences (non-overlapping CIs). Conclusion: The intrareader reproducibility was high for both classifications, whereas the interreader reproducibility was higher using the ASRM-MAC 2021, highlighting the impact of classification criteria on the reproducibility of MRI diagnosis of FGAs.

Bosniak classification version 2019: a prospective comparison of CT and MRI.

OBJECTIVE: To assess the diagnostic accuracy and agreement of CT and MRI in terms of the Bosniak classification version 2019 (BCv2019). MATERIALS AND METHODS: A prospective multi-institutional study enrolled 63 patients with 67 complicated cystic renal masses (CRMs) discovered during ultrasound examination. All patients underwent CT and MRI scans and histopathology. Three radiologists independently assessed CRMs using BCv2019 and assigned Bosniak class to each CRM using CT and MRI. The final analysis included 60 histopathologically confirmed CRMs (41 were malignant and 19 were benign). RESULTS: Discordance between CT and MRI findings was noticed in 50% (30/60) CRMs when data were analyzed in terms of the Bosniak classes. Of these, 16 (53.3%) were malignant. Based on consensus reviewing, there was no difference in the sensitivity, specificity, and accuracy of the BCv2019 with MRI and BCv2019 with CT (87.8%; 95% CI = 73.8-95.9% versus 75.6%; 95% CI = 59.7-87.6%; p = 0.09, 84.2%; 95% CI = 60.4-96.6% versus 78.9%; 95% CI = 54.4-93.9%; p = 0.5, and 86.7%; 95% CI = 64.0-86.6% versus 76.7%; 95% CI = 75.4-94.1%; p = 0.1, respectively). The number and thickness of septa and the presence of enhanced nodules accounted for the majority of variations in Bosniak classes between CT and MRI. The inter-reader agreement (IRA) was substantial for determining the Bosniak class in CT and MRI (k = 0.66; 95% CI = 0.54-0.76, k = 0.62; 95% CI = 0.50-0.73, respectively). The inter-modality agreement of the BCv219 between CT and MRI was moderate (κ = 0.58). CONCLUSION: In terms of BCv2019, CT and MRI are comparable in the classification of CRMs with no significant difference in diagnostic accuracy and reliability. KEY POINTS: • There is no significant difference in the sensitivity, specificity, and accuracy of the BCv2019 with MRI and BCv2019 with CT. • The number of septa and their thickness and the presence of enhanced nodules accounted for the majority of variations in Bosniak classes between CT and MRI. • The inter-reader agreement was substantial for determining the Bosniak class in CT and MRI and the inter-modality agreement of the BCv219 between CT and MRI was moderate.

Insights Into MRI Neuroimaging Patterns of COVID-19 in Children: A Retrospective Comprehensive Analysis.

RATIONALE AND OBJECTIVES: Neurological complications associated with coronavirus disease (COVID-19) have been reported in children; however, data on neuroimaging findings remain limited. This study aimed to comprehensively examine neuroimaging patterns of COVID-19 in children and their relationship with clinical outcomes. MATERIALS AND METHODS: This retrospective cross-sectional study involved reviewing the medical records and MRI scans of 95 children who developed new neurological symptoms within 2-4 weeks of clinical and laboratory confirmation of COVID-19. Patients were categorized into four groups based on guidelines approved by the Centers for Disease Control and Prevention (CDC). Initial brain/spinal MRI was performed. Images were reviewed by three blinded radiologists, and the findings were analyzed and categorized based on the observed patterns in the brain and spinal cord. Follow-up MRI was performed and analyzed to track lesion progression. RESULTS: Encephalopathy was the most common neurological symptom (50.5%). The most common initial MRI involvement patterns were non-confluent multifocal hyperintense white matter (WM) lesions (36.8%) and ischemia (18.9%). Most patients who underwent follow-up MRI (n = 56) showed complete resolution (69.9%); however, some patients developed encephalomalacia and myelomalacia (23.2% and 7.1%, respectively). Non-confluent hyperintense WM lesions were associated with good outcomes (45.9%, P = 0.014), whereas ischemia and hemorrhage were associated with poor outcomes (44.1%, P < 0.001). CONCLUSION: This study revealed diverse neuroimaging patterns in pediatric COVID-19 patients. Non-confluent WM lesions were associated with good outcomes, whereas ischemia and hemorrhage were associated with poorer prognoses. Understanding these patterns is crucial for their early detection, accurate diagnosis, and appropriate management.