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Reliability of MRI tumor size measurements for minimal invasive treatment selection in small breast cancers
Affiliation:1. Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, United States;2. Division of Pathology, University of Washington, Seattle, WA 98195, United States;1. Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, PR China;6. Department of Ultrasound, Tianjin Central Hospital of Gynecology Obstetrics, Tianjin, PR China;7. Koning Corporation, West Henrietta, New York
Abstract:IntroductionDue to the shift towards minimal invasive treatment, accurate tumor size estimation is essential for small breast cancers. The purpose of this study was to determine the reliability of MRI-based tumor size measurements with respect to clinical, histological and radiomics characteristics in small invasive or in situ carcinomas of the breast to select patients for minimal invasive therapy.Materials and methodsAll consecutive cases of cT1 invasive breast carcinomas that underwent pre-operative MRI, treated in two hospitals between 2005 and 2016, were identified retrospectively from the Dutch cancer registry and cross-correlated with local databases. Concordance between MRI-based measurements and final pathological size was analyzed. The influence of clinical, histological and radiomics characteristics on the accuracy of MRI size measurements were analyzed.ResultsAnalysis included 343 cT1 breast carcinomas in 336 patients (mean age, 55 years; range, 25–81 years). Overall correlation of MRI measurements with pathology was moderately strong (ρ = 0.530, P < 0.001), in 42 cases (12.2%) MRI underestimated the size with more than 5 mm. Underestimation occurs more often in grade 2 and grade 3 disease than in low grade invasive cancers. In DCIS the frequency of underestimation is higher than in invasive breast cancer. Unfortunately, none of the patient, imaging or biopsy characteristics appeared predictive for underestimation.ConclusionSize measurements of small breast cancers on breast MRI are within 5 mm of pathological size in 88% of patients. Nevertheless, underestimation cannot be adequately predicted, particularly for grade 2 and grade 3 tumors, which may hinder patient selection for minimal invasive therapy.
Keywords:Breast cancer  Magnetic resonance imaging (MRI)  Tumor size measurement  Pathology  Pre-operative evaluation
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