Kinetic volume analysis on dynamic contrast-enhanced MRI of triple-negative breast cancer: associations with survival outcomes

• Published in: British journal of radiology 2020-02, Vol.93 (1106), p.20190712
• Main Authors: Hayashi, Yoko, Satake, Hiroko, Ishigaki, Satoko, Ito, Rintaro, Kawamura, Mariko, Kawai, Hisashi, Iwano, Shingo, Naganawa, Shinji
• Format: Article
• Language: English
• Subjects: Adult; Aged; Contrast Media; Female; Humans; Magnetic Resonance Imaging - methods; Mastectomy - statistics & numerical data; Middle Aged; Preoperative Care - methods; Preoperative Care - mortality; Retrospective Studies; Treatment Outcome; Triple Negative Breast Neoplasms - mortality; Triple Negative Breast Neoplasms - pathology; Triple Negative Breast Neoplasms - surgery; Tumor Burden
• ISSN: 0007-1285; 1748-880X; 1748-880X
• DOI: 10.1259/bjr.20190712

To evaluate the associations between computer-aided diagnosis (CAD)-generated kinetic volume parameters and survival in triple-negative breast cancer (TNBC) patients. 40 patients with TNBC who underwent pre-operative MRI between March 2008 and March 2014 were included. We analyzed CAD-generated parameters on dynamic contrast-enhanced MRI, visual MRI assessment, and histopathological data. Cox proportional hazards models were used to determine associations with survival outcomes. 12 of the 40 (30.0%) patients experienced recurrence and 7 died of breast cancer after a median follow-up of 73.6 months. In multivariate analysis, higher percentage volume (%V) with more than 200% initial enhancement rate correlated with worse disease-specific survival (hazard ratio, 1.12; 95% confidence interval, 1.02-1.22; -value, 0.014) and higher %V with more than 100% initial enhancement rate followed by persistent curve type at 30% threshold correlated with worse disease-specific survival (hazard ratio, 1.33; 95% confidence interval, 1.10-1.61; -value, 0.004) and disease-free survival (hazard ratio, 1.27; 95% confidence interval, 1.12-1.43; -value, 0.000). CAD-generated kinetic volume parameters may correlate with survival in TNBC patients. Further study would be necessary to validate our results on larger cohorts. CAD generated kinetic volume parameters on breast MRI can predict recurrence and survival outcome of patients in TNBC. Varying the enhancement threshold improved the predictive performance of CAD generated kinetic volume parameter.