Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey

Brenda F. Kurland; Sameer Aggarwal; Thomas E. Yankeelov; Elizabeth R. Gerstner; James M. Mountz; Hannah M. Linden; Ella F. Jones; Kellie L. Bodeker; John M. Buatti

doi:10.18383/j.tom.2016.00169

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Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey

Journal article

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Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey

Brenda F. Kurland, Sameer Aggarwal, Thomas E. Yankeelov, Elizabeth R. Gerstner, James M. Mountz, Hannah M. Linden, Ella F. Jones, Kellie L. Bodeker and John M. Buatti

Tomography (Ann Arbor), Vol.2(4), pp.276-282

12/01/2016

DOI: 10.18383/j.tom.2016.00169

PMCID: PMC5260812

PMID: 28127586

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Abstract

Patient accrual is essential for the success of oncology clinical trials. Recruitment for trials involving the development of quantitative imaging biomarkers may face different challenges than treatment trials. This study surveyed investigators and study personnel for evaluating accrual performance and perceived barriers to accrual and for soliciting solutions to these accrual challenges that are specific to quantitative imaging-based trials. Responses for 25 prospective studies were received from 12 sites. The median percent annual accrual attained was 94.5% (range, 3%-350%). The most commonly selected barrier to recruitment (n = 11/ 25, 44%) was that "patients decline participation, "followed by "too few eligible patients" (n = 10/ 25, 40%). In a forced choice for the single greatest recruitment challenge, "too few eligible patients" was the most common response (n = 8/ 25, 32%). Quantitative analysis and qualitative responses suggested that interactions among institutional, physician, and patient factors contributed to accrual success and challenges. Multidisciplinary collaboration in trial design and execution is essential to accrual success, with attention paid to ensuring and communicating potential trial benefits to enrolled and future patients.

Life Sciences & Biomedicine

Radiology, Nuclear Medicine & Medical Imaging

Science & Technology

Details

Title: Subtitle: Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey
Creators: Brenda F. Kurland - University of Pittsburgh
Sameer Aggarwal - George Washington University
Thomas E. Yankeelov - The University of Texas at Austin
Elizabeth R. Gerstner - University of Pittsburgh
James M. Mountz - University of Pittsburgh
Hannah M. Linden - University of Washington Medical Center
Ella F. Jones - University of California, San Francisco
Kellie L. Bodeker - University of Iowa
John M. Buatti - University of Iowa
Resource Type: Journal article
Publication Details: Tomography (Ann Arbor), Vol.2(4), pp.276-282
DOI: 10.18383/j.tom.2016.00169
PMID: 28127586
PMCID: PMC5260812
NLM abbreviation: Tomography
ISSN: 2379-1381
eISSN: 2379-139X
Publisher: Grapho Publications
Number of pages: 7
Grant note: U01-CA148131; CA140230; CA140206; CA142565; CA15460; CA151235 / National Institutes of Health Quantitative Imaging Network U01CA142565 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) UL1TR000005 / NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Advancing Translational Sciences (NCATS)
Language: English
Date published: 12/01/2016
Academic Unit: Radiation Oncology; Neurosurgery; Otolaryngology
Record Identifier: 9984304991902771

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