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Effect of Inter-Reader Variability on Diffusion-Weighted MRI Apparent Diffusion Coefficient Measurements and Prediction of Pathologic Complete Response for Breast Cancer

Authors :
Nu N. Le
Wen Li
Natsuko Onishi
David C. Newitt
Jessica E. Gibbs
Lisa J. Wilmes
John Kornak
Savannah C. Partridge
Barbara LeStage
Elissa R. Price
Bonnie N. Joe
Laura J. Esserman
Nola M. Hylton
Source :
Tomography, Vol 8, Iss 3, Pp 1208-1220 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

This study evaluated the inter-reader agreement of tumor apparent diffusion coefficient (ADC) measurements performed on breast diffusion-weighted imaging (DWI) for assessing treatment response in a multi-center clinical trial of neoadjuvant chemotherapy (NAC) for breast cancer. DWIs from 103 breast cancer patients (mean age: 46 ± 11 years) acquired at baseline and after 3 weeks of treatment were evaluated independently by two readers. Three types of tumor regions of interests (ROIs) were delineated: multiple-slice restricted, single-slice restricted and single-slice tumor ROIs. Compared to tumor ROIs, restricted ROIs were limited to low ADC areas of enhancing tumor only. We found excellent agreement (intraclass correlation coefficient [ICC] ranged from 0.94 to 0.98) for mean ADC. Higher ICCs were observed in multiple-slice restricted ROIs (range: 0.97 to 0.98) than in other two ROI types (both in the range of 0.94 to 0.98). Among the three ROI types, the highest area under the receiver operating characteristic curves (AUCs) were observed for mean ADC of multiple-slice restricted ROIs (0.65, 95% confidence interval [CI]: 0.52–0.79 and 0.67, 95% CI: 0.53–0.81 for Reader 1 and Reader 2, respectively). In conclusion, mean ADC values of multiple-slice restricted ROI showed excellent agreement and similar predictive performance for pathologic complete response between the two readers.

Details

Language :
English
ISSN :
2379139X and 23791381
Volume :
8
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Tomography
Publication Type :
Academic Journal
Accession number :
edsdoj.4e753dc001e14a2996cd0448e63b5a67
Document Type :
article
Full Text :
https://doi.org/10.3390/tomography8030099