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Functional Tumor Volume by Fast Dynamic Contrast-Enhanced MRI for Predicting Neoadjuvant Systemic Therapy Response in Triple-Negative Breast Cancer.
Musall, Benjamin C; Abdelhafez, Abeer H; Adrada, Beatriz E; Candelaria, Rosalind P; Mohamed, Rania M M; Boge, Medine; Le-Petross, Huong; Arribas, Elsa; Lane, Deanna L; Spak, David A; Leung, Jessica W T; Hwang, Ken-Pin; Son, Jong Bum; Elshafeey, Nabil A; Mahmoud, Hagar S; Wei, Peng; Sun, Jia; Zhang, Shu; White, Jason B; Ravenberg, Elizabeth E; Litton, Jennifer K; Damodaran, Senthil; Thompson, Alastair M; Moulder, Stacy L; Yang, Wei T; Pagel, Mark D; Rauch, Gaiane M; Ma, Jingfei.
Afiliação
  • Musall BC; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Abdelhafez AH; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Adrada BE; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Candelaria RP; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Mohamed RMM; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Boge M; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Le-Petross H; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Arribas E; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Lane DL; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Spak DA; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Leung JWT; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Hwang KP; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Son JB; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Elshafeey NA; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Mahmoud HS; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Wei P; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Sun J; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Zhang S; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • White JB; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Ravenberg EE; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Litton JK; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Damodaran S; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Thompson AM; Department of Surgery, Baylor College of Medicine, Houston, Texas, USA.
  • Moulder SL; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Yang WT; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Pagel MD; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Rauch GM; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Ma J; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
J Magn Reson Imaging ; 54(1): 251-260, 2021 07.
Article em En | MEDLINE | ID: mdl-33586845
BACKGROUND: Dynamic contrast-enhanced (DCE) MRI is useful for diagnosis and assessment of treatment response in breast cancer. Fast DCE MRI offers a higher sampling rate of contrast enhancement curves in comparison to conventional DCE MRI, potentially characterizing tumor perfusion kinetics more accurately for measurement of functional tumor volume (FTV) as a predictor of treatment response. PURPOSE: To investigate FTV by fast DCE MRI as a predictor of neoadjuvant systemic therapy (NAST) response in triple-negative breast cancer (TNBC). STUDY TYPE: Prospective. POPULATION/SUBJECTS: Sixty patients with biopsy-confirmed TNBC between December 2016 and September 2020. FIELD STRENGTH/SEQUENCE: A 3.0 T/3D fast spoiled gradient echo-based DCE MRI ASSESSMENT: Patients underwent MRI at baseline and after four cycles (C4) of NAST, followed by definitive surgery. DCE subtraction images were analyzed in consensus by two breast radiologists with 5 (A.H.A.) and 2 (H.S.M.) years of experience. Tumor volumes (TV) were measured on early and late subtractions. Tumors were segmented on 1 and 2.5-minute early phases subtractions and FTV was determined using optimized signal enhancement thresholds. Interpolated enhancement curves from segmented voxels were used to determine optimal early phase timing. STATISTICAL TESTS: Tumor volumes were compared between patients who had a pathologic complete response (pCR) and those who did not using the area under the receiver operating curve (AUC) and Mann-Whitney U test. RESULTS: About 26 of 60 patients (43%) had pCR. FTV at 1 minute after injection at C4 provided the best discrimination between pCR and non-pCR, with AUC (95% confidence interval [CI]) = 0.85 (0.74,0.95) (P < 0.05). The 1-minute timing was optimal for FTV measurements at C4 and for the change between C4 and baseline. TV from the early phase at C4 also yielded a good AUC (95%CI) of 0.82 (0.71,0.93) (P < 0.05). DATA CONCLUSION: FTV and TV measured at 1 minute after injection can predict response to NAST in TNBC. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: 4.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Neoplasias de Mama Triplo Negativas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Neoplasias de Mama Triplo Negativas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article