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Multiparametric Quantitative Imaging Biomarkers for Phenotype Classification: A Framework for Development and Validation.

Publication ,  Journal Article
Delfino, JG; Pennello, GA; Barnhart, HX; Buckler, AJ; Wang, X; Huang, EP; Raunig, DL; Guimaraes, AR; Hall, TJ; deSouza, NM; Obuchowski, N
Published in: Acad Radiol
February 2023

This manuscript is the third in a five-part series related to statistical assessment methodology for technical performance of multi-parametric quantitative imaging biomarkers (mp-QIBs). We outline approaches and statistical methodologies for developing and evaluating a phenotype classification model from a set of multiparametric QIBs. We then describe validation studies of the classifier for precision, diagnostic accuracy, and interchangeability with a comparator classifier. We follow with an end-to-end real-world example of development and validation of a classifier for atherosclerotic plaque phenotypes. We consider diagnostic accuracy and interchangeability to be clinically meaningful claims for a phenotype classification model informed by mp-QIB inputs, aiming to provide tools to demonstrate agreement between imaging-derived characteristics and clinically established phenotypes. Understanding that we are working in an evolving field, we close our manuscript with an acknowledgement of existing challenges and a discussion of where additional work is needed. In particular, we discuss the challenges involved with technical performance and analytical validation of mp-QIBs. We intend for this manuscript to further advance the robust and promising science of multiparametric biomarker development.

Duke Scholars

Published In

Acad Radiol

DOI

EISSN

1878-4046

Publication Date

February 2023

Volume

30

Issue

2

Start / End Page

183 / 195

Location

United States

Related Subject Headings

  • Phenotype
  • Nuclear Medicine & Medical Imaging
  • Diagnostic Imaging
  • Biomarkers
  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Delfino, J. G., Pennello, G. A., Barnhart, H. X., Buckler, A. J., Wang, X., Huang, E. P., … Obuchowski, N. (2023). Multiparametric Quantitative Imaging Biomarkers for Phenotype Classification: A Framework for Development and Validation. Acad Radiol, 30(2), 183–195. https://doi.org/10.1016/j.acra.2022.09.004
Delfino, Jana G., Gene A. Pennello, Huiman X. Barnhart, Andrew J. Buckler, Xiaofeng Wang, Erich P. Huang, Dave L. Raunig, et al. “Multiparametric Quantitative Imaging Biomarkers for Phenotype Classification: A Framework for Development and Validation.Acad Radiol 30, no. 2 (February 2023): 183–95. https://doi.org/10.1016/j.acra.2022.09.004.
Delfino JG, Pennello GA, Barnhart HX, Buckler AJ, Wang X, Huang EP, et al. Multiparametric Quantitative Imaging Biomarkers for Phenotype Classification: A Framework for Development and Validation. Acad Radiol. 2023 Feb;30(2):183–95.
Delfino, Jana G., et al. “Multiparametric Quantitative Imaging Biomarkers for Phenotype Classification: A Framework for Development and Validation.Acad Radiol, vol. 30, no. 2, Feb. 2023, pp. 183–95. Pubmed, doi:10.1016/j.acra.2022.09.004.
Delfino JG, Pennello GA, Barnhart HX, Buckler AJ, Wang X, Huang EP, Raunig DL, Guimaraes AR, Hall TJ, deSouza NM, Obuchowski N. Multiparametric Quantitative Imaging Biomarkers for Phenotype Classification: A Framework for Development and Validation. Acad Radiol. 2023 Feb;30(2):183–195.
Journal cover image

Published In

Acad Radiol

DOI

EISSN

1878-4046

Publication Date

February 2023

Volume

30

Issue

2

Start / End Page

183 / 195

Location

United States

Related Subject Headings

  • Phenotype
  • Nuclear Medicine & Medical Imaging
  • Diagnostic Imaging
  • Biomarkers
  • 3202 Clinical sciences
  • 1103 Clinical Sciences