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Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL.
Li, Wen; Newitt, David C; Gibbs, Jessica; Wilmes, Lisa J; Jones, Ella F; Arasu, Vignesh A; Strand, Fredrik; Onishi, Natsuko; Nguyen, Alex Anh-Tu; Kornak, John; Joe, Bonnie N; Price, Elissa R; Ojeda-Fournier, Haydee; Eghtedari, Mohammad; Zamora, Kathryn W; Woodard, Stefanie A; Umphrey, Heidi; Bernreuter, Wanda; Nelson, Michael; Church, An Ly; Bolan, Patrick; Kuritza, Theresa; Ward, Kathleen; Morley, Kevin; Wolverton, Dulcy; Fountain, Kelly; Lopez-Paniagua, Dan; Hardesty, Lara; Brandt, Kathy; McDonald, Elizabeth S; Rosen, Mark; Kontos, Despina; Abe, Hiroyuki; Sheth, Deepa; Crane, Erin P; Dillis, Charlotte; Sheth, Pulin; Hovanessian-Larsen, Linda; Bang, Dae Hee; Porter, Bruce; Oh, Karen Y; Jafarian, Neda; Tudorica, Alina; Niell, Bethany L; Drukteinis, Jennifer; Newell, Mary S; Cohen, Michael A; Giurescu, Marina; Berman, Elise; Lehman, Constance.
Afiliação
  • Li W; University of California, San Francisco, CA, USA.
  • Newitt DC; University of California, San Francisco, CA, USA.
  • Gibbs J; University of California, San Francisco, CA, USA.
  • Wilmes LJ; University of California, San Francisco, CA, USA.
  • Jones EF; University of California, San Francisco, CA, USA.
  • Arasu VA; University of California, San Francisco, CA, USA.
  • Strand F; University of California, San Francisco, CA, USA.
  • Onishi N; Karolinska Institute, Stockholm, Sweden.
  • Nguyen AA; University of California, San Francisco, CA, USA.
  • Kornak J; University of California, San Francisco, CA, USA.
  • Joe BN; University of California, San Francisco, CA, USA.
  • Price ER; University of California, San Francisco, CA, USA.
  • Ojeda-Fournier H; University of California, San Francisco, CA, USA.
  • Eghtedari M; University of California, San Diego, CA, USA.
  • Zamora KW; University of California, San Diego, CA, USA.
  • Woodard SA; University of Alabama, Birmingham, AL, USA.
  • Umphrey H; University of Alabama, Birmingham, AL, USA.
  • Bernreuter W; University of Alabama, Birmingham, AL, USA.
  • Nelson M; University of Alabama, Birmingham, AL, USA.
  • Church AL; University of Minnesota, Minneapolis, MN, USA.
  • Bolan P; University of Minnesota, Minneapolis, MN, USA.
  • Kuritza T; University of Minnesota, Minneapolis, MN, USA.
  • Ward K; Loyola University, Maywood, IL, USA.
  • Morley K; Loyola University, Maywood, IL, USA.
  • Wolverton D; Loyola University, Maywood, IL, USA.
  • Fountain K; University of Colorado, Denver, CO, USA.
  • Lopez-Paniagua D; University of Colorado, Denver, CO, USA.
  • Hardesty L; University of Colorado, Denver, CO, USA.
  • Brandt K; University of Colorado, Denver, CO, USA.
  • McDonald ES; Mayo Clinic, Rochester, NY, USA.
  • Rosen M; University of Pennsylvania, Philadelphia, PA, USA.
  • Kontos D; University of Pennsylvania, Philadelphia, PA, USA.
  • Abe H; University of Pennsylvania, Philadelphia, PA, USA.
  • Sheth D; University of Chicago, Chicago, IL, USA.
  • Crane EP; University of Chicago, Chicago, IL, USA.
  • Dillis C; Georgetown University, Georgetown, DC, USA.
  • Sheth P; Georgetown University, Georgetown, DC, USA.
  • Hovanessian-Larsen L; University of Southern California, Los Angeles, CA, USA.
  • Bang DH; University of Southern California, Los Angeles, CA, USA.
  • Porter B; Swedish Cancer Institute, Seattle, WA, USA.
  • Oh KY; Swedish Cancer Institute, Seattle, WA, USA.
  • Jafarian N; Oregon Health & Science University, Portland, OR, USA.
  • Tudorica A; Oregon Health & Science University, Portland, OR, USA.
  • Niell BL; Oregon Health & Science University, Portland, OR, USA.
  • Drukteinis J; Moffitt Cancer Center, Tampa, FL, USA.
  • Newell MS; Moffitt Cancer Center, Tampa, FL, USA.
  • Cohen MA; Emory University, Atlanta, GA, USA.
  • Giurescu M; Emory University, Atlanta, GA, USA.
  • Berman E; Mayo Clinic, Scottsdale, AZ, USA.
  • Lehman C; Inova Health System, Falls Church, VA, USA.
NPJ Breast Cancer ; 6(1): 63, 2020 Nov 27.
Article em En | MEDLINE | ID: mdl-33298938
Dynamic contrast-enhanced (DCE) MRI provides both morphological and functional information regarding breast tumor response to neoadjuvant chemotherapy (NAC). The purpose of this retrospective study is to test if prediction models combining multiple MRI features outperform models with single features. Four features were quantitatively calculated in each MRI exam: functional tumor volume, longest diameter, sphericity, and contralateral background parenchymal enhancement. Logistic regression analysis was used to study the relationship between MRI variables and pathologic complete response (pCR). Predictive performance was estimated using the area under the receiver operating characteristic curve (AUC). The full cohort was stratified by hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status (positive or negative). A total of 384 patients (median age: 49 y/o) were included. Results showed analysis with combined features achieved higher AUCs than analysis with any feature alone. AUCs estimated for the combined versus highest AUCs among single features were 0.81 (95% confidence interval [CI]: 0.76, 0.86) versus 0.79 (95% CI: 0.73, 0.85) in the full cohort, 0.83 (95% CI: 0.77, 0.92) versus 0.73 (95% CI: 0.61, 0.84) in HR-positive/HER2-negative, 0.88 (95% CI: 0.79, 0.97) versus 0.78 (95% CI: 0.63, 0.89) in HR-positive/HER2-positive, 0.83 (95% CI not available) versus 0.75 (95% CI: 0.46, 0.81) in HR-negative/HER2-positive, and 0.82 (95% CI: 0.74, 0.91) versus 0.75 (95% CI: 0.64, 0.83) in triple negatives. Multi-feature MRI analysis improved pCR prediction over analysis of any individual feature that we examined. Additionally, the improvements in prediction were more notable when analysis was conducted according to cancer subtype.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article