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Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial.
Newitt, David C; Zhang, Zheng; Gibbs, Jessica E; Partridge, Savannah C; Chenevert, Thomas L; Rosen, Mark A; Bolan, Patrick J; Marques, Helga S; Aliu, Sheye; Li, Wen; Cimino, Lisa; Joe, Bonnie N; Umphrey, Heidi; Ojeda-Fournier, Haydee; Dogan, Basak; Oh, Karen; Abe, Hiroyuki; Drukteinis, Jennifer; Esserman, Laura J; Hylton, Nola M.
Afiliação
  • Newitt DC; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Zhang Z; Department of Biostatistics, Brown University, Providence, Rhode Island, USA.
  • Gibbs JE; Center for Statistical Sciences, Brown University, Providence, Rhode Island, USA.
  • Partridge SC; American College of Radiology Imaging Network (ACRIN), Philadelphia, Pennsylvania, USA.
  • Chenevert TL; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Rosen MA; Department of Radiology, University of Washington, Seattle, Washington, USA.
  • Bolan PJ; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
  • Marques HS; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Aliu S; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
  • Li W; Center for Statistical Sciences, Brown University, Providence, Rhode Island, USA.
  • Cimino L; American College of Radiology Imaging Network (ACRIN), Philadelphia, Pennsylvania, USA.
  • Joe BN; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Umphrey H; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Ojeda-Fournier H; American College of Radiology & ECOG-ACRIN Cancer Research Group, Philadelphia, Pennsylvania, USA.
  • Dogan B; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Oh K; Department of Radiology, University of Alabama, Birmingham, Alabama, USA.
  • Abe H; Department of Radiology, University of California, San Diego, California, USA.
  • Drukteinis J; Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Esserman LJ; Department of Diagnostic Radiology, University of Texas Southwestern Medical Center, Houston, Texas, USA.
  • Hylton NM; Department of Radiology, Oregon Health & Science University, Portland, Oregon, USA.
J Magn Reson Imaging ; 49(6): 1617-1628, 2019 06.
Article em En | MEDLINE | ID: mdl-30350329
ABSTRACT

BACKGROUND:

Quantitative diffusion-weighted imaging (DWI) MRI is a promising technique for cancer characterization and treatment monitoring. Knowledge of the reproducibility of DWI metrics in breast tumors is necessary to apply DWI as a clinical biomarker.

PURPOSE:

To evaluate the repeatability and reproducibility of breast tumor apparent diffusion coefficient (ADC) in a multi-institution clinical trial setting, using standardized DWI protocols and quality assurance (QA) procedures. STUDY TYPE Prospective.

SUBJECTS:

In all, 89 women from nine institutions undergoing neoadjuvant chemotherapy for invasive breast cancer. FIELD STRENGTH/SEQUENCE DWI was acquired before and after patient repositioning using a four b-value, single-shot echo-planar sequence at 1.5T or 3.0T. ASSESSMENT A QA procedure by trained operators assessed artifacts, fat suppression, and signal-to-noise ratio, and determine study analyzability. Mean tumor ADC was measured via manual segmentation of the multislice tumor region referencing DWI and contrast-enhanced images. Twenty cases were evaluated multiple times to assess intra- and interoperator variability. Segmentation similarity was assessed via the Sørenson-Dice similarity coefficient. STATISTICAL TESTS Repeatability and reproducibility were evaluated using within-subject coefficient of variation (wCV), intraclass correlation coefficient (ICC), agreement index (AI), and repeatability coefficient (RC). Correlations were measured by Pearson's correlation coefficients.

RESULTS:

In all, 71 cases (80%) passed QA evaluation 44 at 1.5T, 27 at 3.0T; 60 pretreatment, 11 after 3 weeks of taxane-based treatment. ADC repeatability was excellent wCV = 4.8% (95% confidence interval [CI] 4.0, 5.7%), ICC = 0.97 (95% CI 0.95, 0.98), AI = 0.83 (95% CI 0.76, 0.87), and RC = 0.16 * 10-3 mm2 /sec (95% CI 0.13, 0.19). The results were similar across field strengths and timepoint subgroups. Reproducibility was excellent interreader ICC = 0.92 (95% CI 0.80, 0.97) and intrareader ICC = 0.91 (95% CI 0.78, 0.96). DATA

CONCLUSION:

Breast tumor ADC can be measured with excellent repeatability and reproducibility in a multi-institution setting using a standardized protocol and QA procedure. Improvements to DWI image quality could reduce loss of data in clinical trials. LEVEL OF EVIDENCE 2 Technical Efficacy Stage 1 J. Magn. Reson. Imaging 2019;491617-1628.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Neoplasias da Mama / Imagem de Difusão por Ressonância Magnética / Neoplasias Tipo de estudo: Clinical_trials / Guideline / Observational_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Neoplasias da Mama / Imagem de Difusão por Ressonância Magnética / Neoplasias Tipo de estudo: Clinical_trials / Guideline / Observational_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos