DCE-MRI for assessment of pathologic complete response after completion of neoadjuvant therapy in triple-negative breast cancer patients.

X Xiaofei Huo (The University of Texas MD Anderson Cancer Center, Houston, TX) T Tanya W. Moseley (The University of Texas MD Anderson Cancer Center, Houston, TX) B Beatriz Adrada (The University of Texas MD Anderson Cancer Center, Houston, TX) C Clinton Yam L Lei Huo M Mary Guirguis (The University of Texas MD Anderson Cancer Center, Houston, TX) M Miral Patel (The University of Texas MD Anderson Cancer Center, Houston, TX) J Jessica Leung (The University of Texas MD Anderson Cancer Center, Houston, TX) G Gary J. Whitman (The University of Texas MD Anderson Cancer Center, Houston, TX) R Rosalind P. Candelaria (The University of Texas MD Anderson Cancer Center, Houston, TX) D Deanna Lane (Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX) W Wei Tse Yang (The University of Texas MD Anderson Cancer Center, Houston, TX) J 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) J Jennifer Keating Litton (The University of Texas MD Anderson Cancer Center, Houston, TX) V Vicente Valero (Breast Medical Oncology Department, Morgan Welch IBC Clinic and Research Program, The University of Texas MD Anderson Cancer Center, Houston, TX) B Banu Arun (The University of Texas MD Anderson Cancer Center, Houston, TX) K Ken-Pin Hwang P Peng Wei (State Key Laboratory of Advanced Fiber Materials, College of Chemistry and Chemical Engineering) J Jingfei Ma G Gaiane M. Rauch

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

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 611-611
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

X

Xiaofei Huo

The University of Texas MD Anderson Cancer Center, Houston, TX

T

Tanya W. Moseley

The University of Texas MD Anderson Cancer Center, Houston, TX

B

Beatriz Adrada

The University of Texas MD Anderson Cancer Center, Houston, TX

C

Clinton Yam

L

Lei Huo

M

Mary Guirguis

The University of Texas MD Anderson Cancer Center, Houston, TX

M

Miral Patel

The University of Texas MD Anderson Cancer Center, Houston, TX

J

Jessica Leung

The University of Texas MD Anderson Cancer Center, Houston, TX

G

Gary J. Whitman

The University of Texas MD Anderson Cancer Center, Houston, TX

R

Rosalind P. Candelaria

The University of Texas MD Anderson Cancer Center, Houston, TX

D

Deanna Lane

Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX

W

Wei Tse Yang

The University of Texas MD Anderson Cancer Center, Houston, TX

J

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

J

Jennifer Keating Litton

The University of Texas MD Anderson Cancer Center, Houston, TX

V

Vicente Valero

Breast Medical Oncology Department, Morgan Welch IBC Clinic and Research Program, The University of Texas MD Anderson Cancer Center, Houston, TX

B

Banu Arun

The University of Texas MD Anderson Cancer Center, Houston, TX

K

Ken-Pin Hwang

P

Peng Wei

State Key Laboratory of Advanced Fiber Materials, College of Chemistry and Chemical Engineering

J

Jingfei Ma

G

Gaiane M. Rauch