DCE-MRI for assessment of pathologic complete response after completion of neoadjuvant therapy in triple-negative breast cancer patients.
Abstract
611 Background: Triple-negative breast cancer (TNBC) is an aggressive molecular subtype that accounts for approximately 15%-20% of all breast cancer diagnoses. We aimed to investigate the utility of presurgical DCE breast MRI as a predictive marker for pathologic complete response (pCR) after neoadjuvant treatment (NAT) in TNBC patients and to compare the predictive value of early versus delayed enhancement for residual tumor detection. Methods: A total of 308 Stage I–III TNBC patients who underwent preoperative DCE-MRI after completion of NAT followed by surgery were enrolled in an IRB-approved prospective clinical trial (NCT02276433). Tumor size was measured using three-dimensional measurements of the index lesion during both the early (1 min) and delayed (6 min) phases of DCE-MRI. Treatment response at surgery (pCR vs. non-pCR) and the pathologic size of residual disease were documented. Correlation between pCR and residual enhancement on DCE-MRI was assessed using McNamar’s test. Spearman’s rank correlation coefficient was used to assess concordance between the longest diameter on MRI and pathology. Differences between longest diameter on DCE-MRI and pathology were compared using the Wilcoxon signed-rank test. Results: Among the 308 TNBC patients, 47% (145/308) achieved pCR following treatment. Residual disease detection on the early phase of DCE-MRI demonstrated higher sensitivity for predicting pCR compared to the delayed phase (79% vs. 69%, p < 0.001); however, it had lower specificity (78% vs. 84%, p = 0.008). Absence of enhancement in both early and delayed phase DCE-MRI predicted pCR with positive predictive values (PPV) of 80% and 83%, respectively. Residual enhancement in both phases predicted non-pCR with negative predictive values (NPV) of 77% and 71%, respectively. Both early and delayed DCE-MRI phases demonstrated a similar moderate positive correlation with pathology (r = 0.64 vs. 0.62). There was no significant difference between the longest diameter measured on early phase DCE-MRI and pathology (p = 0.706), whereas a significant difference was observed for the delayed phase (p < 0.001), which over estimated residual disease. Conclusions: Presurgical DCE-MRI demonstrated strong performance in predicting pCR among TNBC patients following NAT. The early and delayed phases of DCE-MRI may each capture different aspects of tumor characteristics, potentially providing complementary information for prediction. Clinical trial information: NCT02276433 .
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Xiaofei Huo
The University of Texas MD Anderson Cancer Center, Houston, TX
Tanya W. Moseley
The University of Texas MD Anderson Cancer Center, Houston, TX
Beatriz Adrada
The University of Texas MD Anderson Cancer Center, Houston, TX
Clinton Yam
Lei Huo
Mary Guirguis
The University of Texas MD Anderson Cancer Center, Houston, TX
Miral Patel
The University of Texas MD Anderson Cancer Center, Houston, TX
Jessica Leung
The University of Texas MD Anderson Cancer Center, Houston, TX
Gary J. Whitman
The University of Texas MD Anderson Cancer Center, Houston, TX
Rosalind P. Candelaria
The University of Texas MD Anderson Cancer Center, Houston, TX
Deanna Lane
Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Wei Tse Yang
The University of Texas MD Anderson Cancer Center, Houston, TX
Jia Sun
National Medical Products Administration Key Laboratory for Research and Evaluation of Drug Metabolism and Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University
Jennifer Keating Litton
The University of Texas MD Anderson Cancer Center, Houston, TX
Vicente Valero
Breast Medical Oncology Department, Morgan Welch IBC Clinic and Research Program, The University of Texas MD Anderson Cancer Center, Houston, TX
Banu Arun
The University of Texas MD Anderson Cancer Center, Houston, TX
Ken-Pin Hwang
Peng Wei
State Key Laboratory of Advanced Fiber Materials, College of Chemistry and Chemical Engineering
Jingfei Ma
Gaiane M. Rauch