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Impact of Alternate b-Value Combinations and Metrics on the Predictive Performance and Repeatability of Diffusion-Weighted MRI in Breast Cancer Treatment: Results from the ECOG-ACRIN A6698 Trial.
Partridge, Savannah C; Steingrimsson, Jon; Newitt, David C; Gibbs, Jessica E; Marques, Helga S; Bolan, Patrick J; Boss, Michael A; Chenevert, Thomas L; Rosen, Mark A; Hylton, Nola M.
Afiliación
  • Partridge SC; Department of Radiology, University of Washington, Seattle, WA 98195, USA.
  • Steingrimsson J; Department of Biostatistics and Center for Statistical Sciences, Brown University, Providence, RI 02912, USA.
  • Newitt DC; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA.
  • Gibbs JE; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA.
  • Marques HS; Department of Biostatistics and Center for Statistical Sciences, Brown University, Providence, RI 02912, USA.
  • Bolan PJ; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA.
  • Boss MA; Center for Research and Innovation, American College of Radiology, Philadelphia, PA 19103, USA.
  • Chenevert TL; University of Michigan, Ann Arbor, MI 48109, USA.
  • Rosen MA; University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Hylton NM; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA.
Tomography ; 8(2): 701-717, 2022 03 04.
Article en En | MEDLINE | ID: mdl-35314635
In diffusion-weighted MRI (DW-MRI), choice of b-value influences apparent diffusion coefficient (ADC) values by probing different aspects of the tissue microenvironment. As a secondary analysis of the multicenter ECOG-ACRIN A6698 trial, the purpose of this study was to investigate the impact of alternate b-value combinations on the performance and repeatability of tumor ADC as a predictive marker of breast cancer treatment response. The final analysis included 210 women who underwent standardized 4-b-value DW-MRI (b = 0/100/600/800 s/mm2) at multiple timepoints during neoadjuvant chemotherapy treatment and a subset (n = 71) who underwent test−retest scans. Centralized tumor ADC and perfusion fraction (fp) measures were performed using variable b-value combinations. Prediction of pathologic complete response (pCR) based on the mid-treatment/12-week percent change in each metric was estimated by area under the receiver operating characteristic curve (AUC). Repeatability was estimated by within-subject coefficient of variation (wCV). Results show that two-b-value ADC calculations provided non-inferior predictive value to four-b-value ADC calculations overall (AUCs = 0.60−0.61 versus AUC = 0.60) and for HR+/HER2− cancers where ADC was most predictive (AUCs = 0.75−0.78 versus AUC = 0.76), p < 0.05. Using two b-values (0/600 or 0/800 s/mm2) did not reduce ADC repeatability over the four-b-value calculation (wCVs = 4.9−5.2% versus 5.4%). The alternate metrics ADCfast (b ≤ 100 s/mm2), ADCslow (b ≥ 100 s/mm2), and fp did not improve predictive performance (AUCs = 0.54−0.60, p = 0.08−0.81), and ADCfast and fp demonstrated the lowest repeatability (wCVs = 6.71% and 12.4%, respectively). In conclusion, breast tumor ADC calculated using a simple two-b-value approach can provide comparable predictive value and repeatability to full four-b-value measurements as a marker of treatment response.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Imagen de Difusión por Resonancia Magnética Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Tomography Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Imagen de Difusión por Resonancia Magnética Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Tomography Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza