Evidence map›Paper›PMID 25442800›Full record

ReviewAcademic radiology2015

Clinical utility of quantitative imaging.

Andrew B Rosenkrantz, Mishal Mendiratta-Lala, Brian J Bartholmai, Dhakshinamoorthy Ganeshan, Richard G Abramson, Kirsteen R Burton, John-Paul J Yu, Ernest M Scalzetti, Thomas E Yankeelov, Rathan M Subramaniam and 1 more

Abstract readReview
In one paragraph

Review in Academic radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

56 citing papers in PubMed.

  1. Article
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  3. The Next Frontier in Quantitative Co-Clinical Imaging to Advance Functional Precision Oncology.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
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  10. Quantitative Prostate MRI, From theAJR. American journal of roentgenology · 2025
    Review
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  16. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Andrew B RosenkrantzDepartment of Radiology, NYU Langone Medical Center, 550 First Avenue, New York, NY 10016. Electronic address: Andrew.Rosenkrantz@nyumc.org.
Mishal Mendiratta-LalaHenry Ford Hospital, Abdominal and Cross-sectional Interventional Radiology, Detroit, Michigan.
Brian J BartholmaiDivision of Radiology Informatics, Mayo Clinic in Rochester, Rochester, Minnesota.
Dhakshinamoorthy GaneshanDepartment of Abdominal Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas.
Richard G AbramsonDepartment of Radiology and Radiological Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee.
Kirsteen R BurtonDepartment of Medical Imaging and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
John-Paul J YuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
Ernest M ScalzettiDepartment of Radiology, SUNY Upstate Medical University, Syracuse New York.
Thomas E YankeelovInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee.
Rathan M SubramaniamRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, and Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Leon LenchikDepartment of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jin Chen · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
Quantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant TherapyU01CA142565 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KARCZMAR, GREGORY S., NANDA, RITA · 2010 to 2019
$4.5M
NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA098131NCI NIH HHS U01 CA142565NCI NIH HHS U01CA142565
6 · The paper itself

Abstract

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.

Indexed as

Molecular ProbesMolecular Probe TechniquesAnimalsBiomarkersEvaluation Studies as TopicHumansImage Interpretation, Computer-AssistedMolecular Diagnostic TechniquesMolecular ImagingBiomarkersMolecular Probesbiomarkerquantitative imagingradiologistRadiology

Identifiers

PMID25442800
PMCPMC4259826

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.