Lesion type and reader experience affect the diagnostic accuracy of breast MRI: A multiple reader ROC study. Issue 1 (January 2015)

• Record Type: Journal Article
• Authors: Baltzer, Pascal A.T.; Kaiser, Werner Alois; Dietzel, Matthias
• Is Part Of: European journal of radiology. Volume 84:Issue 1(2015)
• Page Start: 86
• Page End: 91
• Publication Date: 2015-01
• Subjects: Breast MRI -- BI-RADS -- Reader experience -- Non-mass -- Sensitivity and specificity -- Neoplasms; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2014.10.023
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: The main findings of our study are, that reader experience and lesion type (i.e., mass versus non-mass enhancement) are independent predictors of the diagnostic accuracy of breast MRI. Specifically, benign and malignant non-mass lesions cannot be differentiated with sufficient accuracy, especially if readers are not experienced. We conclude that future research in breast MRI should focus on non-mass lesions, as these are the problem makers in modern breast MRI. Abstract: Purpose: To evaluate the influence of lesion type (mass versus non-mass) and reader experience on the diagnostic performance of breast MRI (BMRI) in a non-screening setting. Materials and methods: Consecutive patients (mean age, 55 ± 12 years) with breast lesions that were verified by biopsy or surgery, and who had had BMRI as part of their diagnostic workup, were eligible for this retrospective single-center study. Cancers diagnosed by biopsy before BMRI were excluded to eliminate biological and interpretation bias due to biopsy or chemotherapy effects ( n = 103). Six blinded readers (experience level, high (HE, n = 2); intermediate (IE, n = 2); and low (LE, n = 2)) evaluated all examinations and assigned independent MRI BI-RADS ratings. Lesion type (mass, non-mass, focal) was noted. Receiver operating characteristics (ROC) and logistic regression analysis was performed to compare diagnostic accuracies. Results: There were 259 histologically verified lesions (123 malignant, 136 benign) investigated. There were 169 mass (103 malignant, 66 benign) and 48 non-mass lesions (19 malignant, 29 benign). Another 42 lesions that met the inclusion criteria were biopsied due to conventional findings (i.e., microcalcifications, architectural distortions), but did not enhance on MRI (41 benign, one DCIS). ROC analysis revealed a total area under the curve (AUC) between 0.834 (LE) and 0.935 (HI). Logistic regression identified a significant effect of non-mass lesions ( P < 0.0001) and reader experience ( P = 0.005) on diagnostic performance. Conclusions: Non-mass lesion type and low reader experience negatively affect the diagnostic performance of breast MRI in a non-screening setting.