Cancers (Feb 2023)
Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI
- Bikash Panthi,
- Beatriz E. Adrada,
- Rosalind P. Candelaria,
- Mary S. Guirguis,
- Clinton Yam,
- Medine Boge,
- Huiqin Chen,
- Kelly K. Hunt,
- Lei Huo,
- Ken-Pin Hwang,
- Anil Korkut,
- Deanna L. Lane,
- Huong C. Le-Petross,
- Jessica W. T. Leung,
- Jennifer K. Litton,
- Rania M. Mohamed,
- Benjamin C. Musall,
- Sanaz Pashapoor,
- Miral M. Patel,
- Frances Perez,
- Jong Bum Son,
- Alastair Thompson,
- Vicente Valero,
- Peng Wei,
- Jason White,
- Zhan Xu,
- Lawrence Pinsky,
- Debu Tripathy,
- Wei Yang,
- Jingfei Ma,
- Gaiane M. Rauch
Affiliations
- Bikash Panthi
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Beatriz E. Adrada
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Rosalind P. Candelaria
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Mary S. Guirguis
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Clinton Yam
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Medine Boge
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Huiqin Chen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Kelly K. Hunt
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Lei Huo
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Ken-Pin Hwang
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Anil Korkut
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Deanna L. Lane
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Huong C. Le-Petross
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Jessica W. T. Leung
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Jennifer K. Litton
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Rania M. Mohamed
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Benjamin C. Musall
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Sanaz Pashapoor
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Miral M. Patel
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Frances Perez
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Jong Bum Son
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Alastair Thompson
- Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA
- Vicente Valero
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Jason White
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Zhan Xu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Lawrence Pinsky
- Department of Physics, University of Houston, Houston, TX 77030, USA
- Debu Tripathy
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Wei Yang
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Jingfei Ma
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Gaiane M. Rauch
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- DOI
- https://doi.org/10.3390/cancers15041025
- Journal volume & issue
-
Vol. 15,
no. 4
p. 1025
Abstract
Early assessment of neoadjuvant systemic therapy (NAST) response for triple-negative breast cancer (TNBC) is critical for patient care in order to avoid the unnecessary toxicity of an ineffective treatment. We assessed functional tumor volumes (FTVs) from dynamic contrast-enhanced (DCE) MRI after 2 cycles (C2) and 4 cycles (C4) of NAST as predictors of response in TNBC. A group of 100 patients with stage I-III TNBC who underwent DCE MRI at baseline, C2, and C4 were included in this study. Tumors were segmented on DCE images of 1 min and 2.5 min post-injection. FTVs were measured using the optimized percentage enhancement (PE) and signal enhancement ratio (SER) thresholds. The Mann–Whitney test was used to compare the performance of the FTVs at C2 and C4. Of the 100 patients, 49 (49%) had a pathologic complete response (pCR) and 51 (51%) had a non-pCR. The maximum area under the receiving operating characteristic curve (AUC) for predicting the treatment response was 0.84 (p p < 0.001). The FTV measured at baseline was not able to discriminate pCR from non-pCR. FTVs measured on DCE MRI at C2, as well as at C4, of NAST can potentially predict pCR and non-pCR in TNBC patients.
Keywords
- neoadjuvant systemic therapy
- response prediction
- triple-negative breast cancer
- functional tumor volume
- breast MRI
