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Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI.
Panthi, Bikash; Adrada, Beatriz E; Candelaria, Rosalind P; Guirguis, Mary S; Yam, Clinton; Boge, Medine; Chen, Huiqin; Hunt, Kelly K; Huo, Lei; Hwang, Ken-Pin; Korkut, Anil; Lane, Deanna L; Le-Petross, Huong C; Leung, Jessica W T; Litton, Jennifer K; Mohamed, Rania M; Musall, Benjamin C; Pashapoor, Sanaz; Patel, Miral M; Perez, Frances; Son, Jong Bum; Thompson, Alastair; Valero, Vicente; Wei, Peng; White, Jason; Xu, Zhan; Pinsky, Lawrence; Tripathy, Debu; Yang, Wei; Ma, Jingfei; Rauch, Gaiane M.
Afiliação
  • Panthi B; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Adrada BE; Department of Physics, University of Houston, Houston, TX 77030, USA.
  • Candelaria RP; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Guirguis MS; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Yam C; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Boge M; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Chen H; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Hunt KK; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Huo L; Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Hwang KP; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Korkut A; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Lane DL; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Le-Petross HC; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Leung JWT; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Litton JK; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Mohamed RM; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Musall BC; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Pashapoor S; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Patel MM; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Perez F; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Son JB; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Thompson A; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Valero V; Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA.
  • Wei P; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • White J; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Xu Z; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Pinsky L; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Tripathy D; Department of Physics, University of Houston, Houston, TX 77030, USA.
  • Yang W; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Ma J; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Rauch GM; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Cancers (Basel) ; 15(4)2023 Feb 06.
Article em En | MEDLINE | ID: mdl-36831368
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 < 0.001) for FTV at C4 followed by FTV at C2 (AUC = 0.82, 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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article