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MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trial.
Bolan, Patrick J; Kim, Eunhee; Herman, Benjamin A; Newstead, Gillian M; Rosen, Mark A; Schnall, Mitchell D; Pisano, Etta D; Weatherall, Paul T; Morris, Elizabeth A; Lehman, Constance D; Garwood, Michael; Nelson, Michael T; Yee, Douglas; Polin, Sandra M; Esserman, Laura J; Gatsonis, Constantine A; Metzger, Gregory J; Newitt, David C; Partridge, Savannah C; Hylton, Nola M.
Afiliação
  • Bolan PJ; Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
  • Kim E; National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, USA.
  • Herman BA; American College of Radiology Imaging Network (ACRIN), Philadelphia, Pennsylvania, USA.
  • Newstead GM; American College of Radiology Imaging Network (ACRIN), Philadelphia, Pennsylvania, USA.
  • Rosen MA; Center for Statistical Sciences, Brown University, Providence, Rhode Island, USA.
  • Schnall MD; Department of Radiology, University of Chicago, Chicago, Illinois, USA.
  • Pisano ED; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Weatherall PT; American College of Radiology Imaging Network (ACRIN), Philadelphia, Pennsylvania, USA.
  • Morris EA; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Lehman CD; Department of Radiology, Medical College of South Carolina, Charleston, South Carolina, USA.
  • Garwood M; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Nelson MT; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.
  • Yee D; Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Polin SM; Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
  • Esserman LJ; Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
  • Gatsonis CA; Masonic Cancer Center and Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
  • Metzger GJ; Washington Radiology Associates, P.C., Fairfax, Virginia, USA.
  • Newitt DC; Department of Surgery, University of California, San Francisco, California, USA.
  • Partridge SC; American College of Radiology Imaging Network (ACRIN), Philadelphia, Pennsylvania, USA.
  • Hylton NM; Center for Statistical Sciences, Brown University, Providence, Rhode Island, USA.
J Magn Reson Imaging ; 46(1): 290-302, 2017 07.
Article em En | MEDLINE | ID: mdl-27981651
ABSTRACT

PURPOSE:

To estimate the accuracy of predicting response to neoadjuvant chemotherapy (NACT) in patients with locally advanced breast cancer using MR spectroscopy (MRS) measurements made very early in treatment. MATERIALS AND

METHODS:

This prospective Health Insurance Portability and Accountability Act (HIPAA)-compliant protocol was approved by the American College of Radiology and local-site institutional review boards. One hundred nineteen women with invasive breast cancer of ≥3 cm undergoing NACT were enrolled between September 2007 and April 2010. MRS measurements of the concentration of choline-containing compounds ([tCho]) were performed before the first chemotherapy regimen (time point 1, TP1) and 20-96 h after the first cycle of treatment (TP2). The change in [tCho] was assessed for its ability to predict pathologic complete response (pCR) and radiologic response using the area under the receiver operating characteristic curve (AUC) and logistic regression models.

RESULTS:

Of the 119 subjects enrolled, only 29 cases (24%) with eight pCRs provided usable data for the primary analysis. Technical challenges in acquiring quantitative MRS data in a multi-site trial setting limited the capture of usable data. In this limited data set, the decrease in tCho from TP1 to TP2 had poor ability to predict either pCR (AUC = 0.53, 95% confidence interval [CI] 0.27-0.79) or radiologic response (AUC = 0.51, 95% CI 0.27-0.75).

CONCLUSION:

The technical difficulty of acquiring quantitative MRS data in a multi-site clinical trial setting led to a low yield of analyzable data, which was insufficient to accurately measure the ability of early MRS measurements to predict response to NACT. LEVEL OF EVIDENCE 1 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2017;46290-302.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Neoplasias da Mama / Espectroscopia de Ressonância Magnética / Biomarcadores Tumorais / Colina / Prevenção Secundária Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Neoplasias da Mama / Espectroscopia de Ressonância Magnética / Biomarcadores Tumorais / Colina / Prevenção Secundária Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos
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