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Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).
Rahbar, Habib; Zhang, Zheng; Chenevert, Thomas L; Romanoff, Justin; Kitsch, Averi E; Hanna, Lucy G; Harvey, Sara M; Moy, Linda; DeMartini, Wendy B; Dogan, Basak; Yang, Wei T; Wang, Lilian C; Joe, Bonnie N; Oh, Karen Y; Neal, Colleen H; McDonald, Elizabeth S; Schnall, Mitchell D; Lehman, Constance D; Comstock, Christopher E; Partridge, Savannah C.
Afiliação
  • Rahbar H; University of Washington School of Medicine, Seattle, Washington. hrahbar@uw.edu.
  • Zhang Z; Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island.
  • Chenevert TL; University of Michigan Medical School, Ann Arbor, Michigan.
  • Romanoff J; Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island.
  • Kitsch AE; University of Washington School of Medicine, Seattle, Washington.
  • Hanna LG; Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island.
  • Harvey SM; Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Moy L; New York University School of Medicine, New York, New York.
  • DeMartini WB; University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
  • Dogan B; MD Anderson Cancer Center, Houston, Texas.
  • Yang WT; MD Anderson Cancer Center, Houston, Texas.
  • Wang LC; Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Joe BN; University of California, San Francisco School of Medicine, San Francisco, California.
  • Oh KY; Oregon Health Sciences University, Portland, Oregon.
  • Neal CH; University of Michigan Medical School, Ann Arbor, Michigan.
  • McDonald ES; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
  • Schnall MD; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
  • Lehman CD; Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Comstock CE; Memorial Sloan Kettering Cancer Center, New York, New York.
  • Partridge SC; University of Washington School of Medicine, Seattle, Washington.
Clin Cancer Res ; 25(6): 1756-1765, 2019 03 15.
Article em En | MEDLINE | ID: mdl-30647080
ABSTRACT

PURPOSE:

Conventional breast MRI is highly sensitive for cancer detection but prompts some false positives. We performed a prospective, multicenter study to determine whether apparent diffusion coefficients (ADCs) from diffusion-weighted imaging (DWI) can decrease MRI false positives.Experimental

Design:

A total of 107 women with MRI-detected BI-RADS 3, 4, or 5 lesions were enrolled from March 2014 to April 2015. ADCs were measured both centrally and at participating sites. ROC analysis was employed to assess diagnostic performance of centrally measured ADCs and identify optimal ADC thresholds to reduce unnecessary biopsies. Lesion reference standard was based on either definitive biopsy result or at least 337 days of follow-up after the initial MRI procedure.

RESULTS:

Of 107 women enrolled, 67 patients (median age 49, range 24-75 years) with 81 lesions with confirmed reference standard (28 malignant, 53 benign) and evaluable DWI were analyzed. Sixty-seven of 81 lesions were BI-RADS 4 (n = 63) or 5 (n = 4) and recommended for biopsy. Malignancies exhibited lower mean in centrally measured ADCs (mm2/s) than benign lesions [1.21 × 10-3 vs.1.47 × 10-3; P < 0.0001; area under ROC curve = 0.75; 95% confidence interval (CI) 0.65-0.84]. In centralized analysis, application of an ADC threshold (1.53 × 10-3 mm2/s) lowered the biopsy rate by 20.9% (14/67; 95% CI, 11.2%-31.2%) without affecting sensitivity. Application of a more conservative threshold (1.68 × 10-3 mm2/s) to site-measured ADCs reduced the biopsy rate by 26.2% (16/61) but missed three cancers.

CONCLUSIONS:

DWI can reclassify a substantial fraction of suspicious breast MRI findings as benign and thereby decrease unnecessary biopsies. ADC thresholds identified in this trial should be validated in future phase III studies.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Neoplasias da Mama / Interpretação de Imagem Assistida por Computador / Imagem de Difusão por Ressonância Magnética Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Clin Cancer Res Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Neoplasias da Mama / Interpretação de Imagem Assistida por Computador / Imagem de Difusão por Ressonância Magnética Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Clin Cancer Res Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article