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Tomography
Volume 2
Issue 4
10.18383/j.tom.2016.00169
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Tomography is published by MDPI from Volume 7 Issue 1 (2021). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Grapho, LLC.
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Article

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

by
Brenda F. Kurland
1,*,
Sameer Aggarwal
3,
Thomas E. Yankeelov
4,
Elizabeth R. Gerstner
5,
James M. Mountz
2,
Hannah M. Linden
6,
Ella F. Jones
7,
Kellie L. Bodeker
8 and
John M. Buatti
8
1
Departments of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
2
Departments of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
3
Department of Medicine, George Washington University, Washington, DC, USA
4
Institute for Computational and Engineering Sciences, and Departments of Biomedical Engineering and Internal Medicine, The University of Texas at Austin, Austin, TX, USA
5
Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
6
Division of Medical Oncology, University of Washington, Seattle, DC, USA
7
Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
8
Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
*
Author to whom correspondence should be addressed.
Tomography 2016, 2(4), 276-282; https://doi.org/10.18383/j.tom.2016.00169
Submission received: 2 September 2016 / Revised: 4 October 2016 / Accepted: 6 November 2016 / Published: 1 December 2016
Versions Notes

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.
Keywords: clinical trial; MRI; PET; patient enrollment; accrual clinical trial; MRI; PET; patient enrollment; accrual

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MDPI and ACS Style

Kurland, B.F.; Aggarwal, S.; Yankeelov, T.E.; Gerstner, E.R.; Mountz, J.M.; Linden, H.M.; Jones, E.F.; Bodeker, K.L.; Buatti, J.M. Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey. Tomography 2016, 2, 276-282. https://doi.org/10.18383/j.tom.2016.00169

AMA Style

Kurland BF, Aggarwal S, Yankeelov TE, Gerstner ER, Mountz JM, Linden HM, Jones EF, Bodeker KL, Buatti JM. Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey. Tomography. 2016; 2(4):276-282. https://doi.org/10.18383/j.tom.2016.00169

Chicago/Turabian Style

Kurland, Brenda F., Sameer Aggarwal, Thomas E. Yankeelov, Elizabeth R. Gerstner, James M. Mountz, Hannah M. Linden, Ella F. Jones, Kellie L. Bodeker, and John M. Buatti. 2016. "Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey" Tomography 2, no. 4: 276-282. https://doi.org/10.18383/j.tom.2016.00169

APA Style

Kurland, B. F., Aggarwal, S., Yankeelov, T. E., Gerstner, E. R., Mountz, J. M., Linden, H. M., Jones, E. F., Bodeker, K. L., & Buatti, J. M. (2016). Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey. Tomography, 2(4), 276-282. https://doi.org/10.18383/j.tom.2016.00169

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