Abstract

ObjectivesIn breast diffusion weighted imaging (DWI) protocol standardization, it is recently shown that no breast tumor tissue selection (BTTS) method outperformed the others. The purpose of this study is to analyze the feasibility of three fixed-size breast tumor tissue selection (BTTS) methods based on the reproducibility, accuracy and time-measurement in comparison to the largest oval and manual delineation in breast diffusion weighted imaging data.MethodsThis study is performed with a consecutive dataset of 116 breast lesions (98 malignant) of at least 1.0 cm, scanned in accordance with the EUSOBI breast DWI working group recommendations. Reproducibility of the maximum size manual (BTTS1) and of the maximal size round/oval (BTTS2) methods were compared with three smaller fixed-size circular BTTS methods in the middle of each lesion (BTTS3, 0.12 cm3 volume) and at lowest apparent diffusion coefficient (ADC) (BTTS4, 0.12 cm3; BTTS5, 0.24 cm3). Mean ADC values, intraclass-correlation-coefficients (ICCs), area under the curve (AUC) and measurement times (sec) of the 5 BTTS methods were assessed by two observers.ResultsExcellent inter- and intra-observer agreement was found for any BTTS (with ICC 0.88–0.92 and 0.92–0.94, respectively). Significant difference in ADCmean between any pair of BTTS methods was shown (p = <0.001–0.009), except for BTTS2 vs. BTTS3 for observer 1 (p = 0.10). AUCs were comparable between BTTS methods, with highest AUC for BTTS2 (0.89–0.91) and lowest for BTTS4 (0.76–0.85). However, as an indicator of clinical feasibility, BTTS2-3 showed shortest measurement times (10–15 sec) compared to BTTS1, 4–5 (19–39 sec).ConclusionThe performance of fixed-size BTTS methods, as a potential tool for clinical decision making, shows equal AUC but shorter ADC measurement time compared to manual or oval whole lesion measurements. The advantage of a fixed size BTTS method is the excellent reproducibility. A central fixed breast tumor tissue volume of 0.12 cm3 is the most feasible method for use in clinical practice.

Highlights

  • Breast Dynamic Contrast Enhanced MRI (DCE-MRI) has the highest negative predictive value of all imaging diagnostic techniques in the exclusion of breast malignancy [1, 2]

  • Excellent inter- and intra-observer agreement was found for any breast tumor tissue selection (BTTS)

  • area under the ROC curve (AUC) were comparable between BTTS methods, with highest AUC for BTTS2

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Summary

Introduction

Breast Dynamic Contrast Enhanced MRI (DCE-MRI) has the highest negative predictive value of all imaging diagnostic techniques in the exclusion of breast malignancy [1, 2]. Diffusion Weighted Imaging (DWI) in addition to DCE-MRI improves the specificity of breast MRI and can prevent unnecessary biopsies in benign lesions [3, 4]. Literature is inconclusive on the influence of breast tumor tissue selection (BTTS) methods on the accuracy of DWI in the discrimination of benign from malignant lesions. Some authors state that the applied tumor tissue selection method (by definition of a region of interest) influences the ADC outcome [9,10,11,12], which thereby could affect the differentiation between malignant and benign breast lesions [13]. There is a need to compare the accuracy of the five most used BTTS methods in the same data set, acquired with a robust MRI protocol. Data is lacking on which method is most feasible to implement as measured by the amount of time needed to perform the assessment

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