Literature DB >> 25481515

Methods and challenges in quantitative imaging biomarker development.

Richard G Abramson1, Kirsteen R Burton2, John-Paul J Yu3, Ernest M Scalzetti4, Thomas E Yankeelov5, Andrew B Rosenkrantz6, Mishal Mendiratta-Lala7, Brian J Bartholmai8, Dhakshinamoorthy Ganeshan9, Leon Lenchik10, Rathan M Subramaniam11.   

Abstract

Academic radiology is poised to play an important role in the development and implementation of quantitative imaging (QI) tools. This article, drafted by the Association of University Radiologists Radiology Research Alliance Quantitative Imaging Task Force, reviews current issues in QI biomarker research. We discuss motivations for advancing QI, define key terms, present a framework for QI biomarker research, and outline challenges in QI biomarker development. We conclude by describing where QI research and development is currently taking place and discussing the paramount role of academic radiology in this rapidly evolving field.
Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Radiology; biomarker development; quantitative imaging

Mesh：

Substances：

Year:  2015        PMID： 25481515      PMCID： PMC4258641          DOI： 10.1016/j.acra.2014.09.001

Source DB:  PubMed          Journal:  Acad Radiol        ISSN： 1076-6332            Impact factor:   3.173


  75 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
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Review 3.  The kappa statistic in reliability studies: use, interpretation, and sample size requirements.

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4.  Reproducibility and correlation between quantitative and semiquantitative dynamic and intrinsic susceptibility-weighted MRI parameters in the benign and malignant human prostate.

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6.  Bevacizumab plus irinotecan, fluorouracil, and leucovorin for metastatic colorectal cancer.

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Review 7.  Beyond RECIST: molecular and functional imaging techniques for evaluation of response to targeted therapy.

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Journal:  Clin Cancer Res       Date:  2013-05-15       Impact factor: 12.531

10.  The added diagnostic value of dynamic contrast-enhanced MRI at 3.0 T in nonpalpable breast lesions.

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  37 in total

1.  Flexible and efficient optimization of quantitative sequences using automatic differentiation of Bloch simulations.

Authors:  Philip K Lee; Lauren E Watkins; Timothy I Anderson; Guido Buonincontri; Brian A Hargreaves
Journal:  Magn Reson Med       Date:  2019-05-26       Impact factor: 4.668

2.  Automated Breast Density Measurements From Chest Computed Tomography Scans.

Authors:  Touseef A Qureshi; Harini Veeraraghavan; Janice S Sung; Jennifer B Kaplan; Jessica Flynn; Emily S Tonorezos; Suzanne L Wolden; Elizabeth A Morris; Kevin C Oeffinger; Malcolm C Pike; Chaya S Moskowitz
Journal:  J Med Syst       Date:  2019-06-22       Impact factor: 4.460

3.  Post-acquisition processing confounds in brain volumetric quantification of white matter hyperintensities.

Authors:  Ahmed A Bahrani; Omar M Al-Janabi; Erin L Abner; Shoshana H Bardach; Richard J Kryscio; Donna M Wilcock; Charles D Smith; Gregory A Jicha
Journal:  J Neurosci Methods       Date:  2019-08-10       Impact factor: 2.390

Review 4.  Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group.

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Journal:  NPJ Breast Cancer       Date:  2020-05-12

5.  Managers of Molecular Imaging Laboratories (MOMIL) Interest Group.

Authors:  Michael L Nickels; Mark D Pagel
Journal:  Mol Imaging Biol       Date:  2017-06       Impact factor: 3.488

6.  No-gold-standard evaluation of image-acquisition methods using patient data.

Authors:  Abhinav K Jha; Eric Frey
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-10

Review 7.  Molecular imaging of fibrosis: recent advances and future directions.

Authors:  Sydney B Montesi; Pauline Désogère; Bryan C Fuchs; Peter Caravan
Journal:  J Clin Invest       Date:  2019-01-02       Impact factor: 14.808

8.  The so-called "bovine aortic arch": a possible biomarker for embolic strokes?

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Journal:  Neuroradiology       Date:  2019-08-01       Impact factor: 2.804

Review 9.  Volumetric analysis at abdominal CT: oncologic and non-oncologic applications.

Authors:  Virginia B Planz; Meghan G Lubner; Perry J Pickhardt
Journal:  Br J Radiol       Date:  2018-11-30       Impact factor: 3.039

Review 10.  MR Imaging Biomarkers in Oncology Clinical Trials.

Authors:  Richard G Abramson; Lori R Arlinghaus; Adrienne N Dula; C Chad Quarles; Ashley M Stokes; Jared A Weis; Jennifer G Whisenant; Eduard Y Chekmenev; Igor Zhukov; Jason M Williams; Thomas E Yankeelov
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266
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