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Comparison of Abbreviated MRI and Full Diagnostic MRI in Distinguishing between Benign and Malignant Lesions Detected by Breast MRI: A Multireader Study

Eun Sil Kim, Nariya Cho, Soo‐Yeon Kim, Bo Ra Kwon, Ann Yi, Su Min Ha, Su Hyun Lee, Jung Min Chang, Woo Kyung Moon

2020Korean Journal of Radiology21 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: To compare the performance of simulated abbreviated breast MRI (AB-MRI) and full diagnostic (FD)-MRI in distinguishing between benign and malignant lesions detected by MRI and investigate the features of discrepant lesions of the two protocols. MATERIALS AND METHODS: An AB-MRI set with single first postcontrast images was retrospectively obtained from an FD-MRI cohort of 111 lesions (34 malignant, 77 benign) detected by contralateral breast MRI in 111 women (mean age, 49.8. ± 9.8; range, 28-75 years) with recently diagnosed breast cancer. Five blinded readers independently classified the likelihood of malignancy using Breast Imaging Reporting and Data System assessments. McNemar tests and area under the receiver operating characteristic curve (AUC) analyses were performed. The imaging and pathologic features of the discrepant lesions of the two protocols were analyzed. RESULTS: > 0.05). Fifteen percent (5/34) of the cancers were false-negatives on AB-MRI. More suspicious margins or internal enhancement on the delayed phase images were related to the discrepancies. CONCLUSION: The overall performance of AB-MRI was similar to that of FD-MRI in distinguishing between benign and malignant lesions. AB-MRI showed lower sensitivity and higher specificity than FD-MRI, as 15% of the cancers were misclassified compared to FD-MRI.

Topics & Concepts

MedicineBreast MRIMcNemar's testRadiologyMalignancyReceiver operating characteristicMagnetic resonance imagingBreast cancerLesionBreast imagingNuclear medicineCancerPathologyMammographyInternal medicineStatisticsMathematicsMRI in cancer diagnosisBreast Cancer Treatment StudiesRadiomics and Machine Learning in Medical Imaging