TY - JOUR
T1 - Clinical Utility of Quantitative Imaging
AU - Rosenkrantz, Andrew B.
AU - Mendiratta-Lala, Mishal
AU - Bartholmai, Brian J.
AU - Ganeshan, Dhakshinamoorthy
AU - Abramson, Richard G.
AU - Burton, Kirsteen R.
AU - Yu, John Paul J.
AU - Scalzetti, Ernest M.
AU - Yankeelov, Thomas E.
AU - Subramaniam, Rathan M.
AU - Lenchik, Leon
N1 - Funding Information:
This work was supported by NCI P30 CA068485 and NCI P50 CA098131 to RGA, NCI U01CA142565 to TEY, RSNA ESCH1319 and AHRQ HHSA290201200007I to RMS, and NIBIB T32 EB001631 to JPY. BJB is the Principal Investigator for the Radiology Core Laboratory for the NIH/NHLBI-funded Lung Tissue Research Consortium. Mayo has licensed the CALIPER technology shown in the IMBIO, LLC Lung Texture Report; therefore, Mayo Clinic and BJB have a financial interest related to this technology.
Publisher Copyright:
© 2015 AUR.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Quantitative imaging (QI) is increasingly applied in modern radiology practice, assisting in the clinical assessment of many patients and providing a source of biomarkers for a spectrum of diseases. QI is commonly used to inform patient diagnosis or prognosis, determine the choice of therapy, or monitor therapy response. Because most radiologists will likely implement some QI tools to meet the patient care needs of their referring clinicians, it is important for all radiologists to become familiar with the strengths and limitations of QI. The Association of University Radiologists Radiology Research Alliance Quantitative Imaging Task Force has explored the clinical application of QI and summarizes its work in this review. We provide an overview of the clinical use of QI by discussing QI tools that are currently used in clinical practice, clinical applications of these tools, approaches to reporting of QI, and challenges to implementing QI. It is hoped that these insights will help radiologists recognize the tangible benefits of QI to their patients, their referring clinicians, and their own radiology practice.
AB - Quantitative imaging (QI) is increasingly applied in modern radiology practice, assisting in the clinical assessment of many patients and providing a source of biomarkers for a spectrum of diseases. QI is commonly used to inform patient diagnosis or prognosis, determine the choice of therapy, or monitor therapy response. Because most radiologists will likely implement some QI tools to meet the patient care needs of their referring clinicians, it is important for all radiologists to become familiar with the strengths and limitations of QI. The Association of University Radiologists Radiology Research Alliance Quantitative Imaging Task Force has explored the clinical application of QI and summarizes its work in this review. We provide an overview of the clinical use of QI by discussing QI tools that are currently used in clinical practice, clinical applications of these tools, approaches to reporting of QI, and challenges to implementing QI. It is hoped that these insights will help radiologists recognize the tangible benefits of QI to their patients, their referring clinicians, and their own radiology practice.
KW - Biomarker
KW - Quantitative imaging
KW - Radiologist
KW - Radiology
UR - http://www.scopus.com/inward/record.url?scp=84919459881&partnerID=8YFLogxK
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U2 - 10.1016/j.acra.2014.08.011
DO - 10.1016/j.acra.2014.08.011
M3 - Review article
C2 - 25442800
AN - SCOPUS:84919459881
SN - 1076-6332
VL - 22
SP - 33
EP - 49
JO - Academic radiology
JF - Academic radiology
IS - 1
ER -