Performance Observations of Scanner Qualification of NCI-Designated Cancer Centers: Results From the Centers of Quantitative Imaging Excellence (CQIE) Program

Rosen, Mark; Kinahan, Paul E.; Gimpel, James F.; Opanowski, Adam; Siegel, Barry A.; Hill, G. Craig; Weiss, Linda K.; Shankar, Lalitha

doi:10.1016/j.acra.2016.09.025

Cited by 8 publications

(10 citation statements)

References 17 publications

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“…A DCE experiment is basically a measurement of T 1 changes in a tissue during the passage of CA. A static phantom has been proposed in an initial work by ACRIN CQIE and then by QIBA to standardize DCE acquisition protocols across hardware platforms from various vendors to verify calibration and performance of the systems. Phantom quality control may ensure adequate precision and reproducibility in T 1 measurements, a prerequisite for performing quantitative DCE analysis.…”

Section: Precision Metrologymentioning

confidence: 99%

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

Shukla–Dave

Obuchowski

Chenevert

et al. 2018

Magnetic Resonance Imaging

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Physiological properties of tumors can be measured both in vivo and noninvasively by diffusion‐weighted imaging and dynamic contrast‐enhanced magnetic resonance imaging. Although these techniques have been used for more than two decades to study tumor diffusion, perfusion, and/or permeability, the methods and studies on how to reduce measurement error and bias in the derived imaging metrics is still lacking in the literature. This is of paramount importance because the objective is to translate these quantitative imaging biomarkers (QIBs) into clinical trials, and ultimately in clinical practice. Standardization of the image acquisition using appropriate phantoms is the first step from a technical performance standpoint. The next step is to assess whether the imaging metrics have clinical value and meet the requirements for being a QIB as defined by the Radiological Society of North America's Quantitative Imaging Biomarkers Alliance (QIBA). The goal and mission of QIBA and the National Cancer Institute Quantitative Imaging Network (QIN) initiatives are to provide technical performance standards (QIBA profiles) and QIN tools for producing reliable QIBs for use in the clinical imaging community. Some of QIBA's development of quantitative diffusion‐weighted imaging and dynamic contrast‐enhanced QIB profiles has been hampered by the lack of literature for repeatability and reproducibility of the derived QIBs. The available research on this topic is scant and is not in sync with improvements or upgrades in MRI technology over the years. This review focuses on the need for QIBs in oncology applications and emphasizes the importance of the assessment of their reproducibility and repeatability. Level of Evidence: 5 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2019;49:e101–e121.

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Section: Precision Metrologymentioning

confidence: 99%

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

Shukla–Dave

Obuchowski

Chenevert

et al. 2018

Magnetic Resonance Imaging

Self Cite

289

232

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“…During the T2 period, the CQIE program intensified the requests for qualifications, leading to increased accrual. These issues also applied to the MRI and CT CQIE qualifications and are discussed in more detail in the CQIE overview (27).…”

Section: Discussionmentioning

confidence: 99%

“…The data were then reconstructed with a protocol that likely would be used for dynamic scanning. The results from this component are reported elsewhere and are not further discussed here (27,28).…”

Section: Uniform Phantom Data Acquisition and Analysismentioning

confidence: 95%

“…The intention of the CQIE project was to establish a group of "trial-ready" cancer imaging facilities to minimize the time between a multicenter research trial being developed and sites beginning accrual. An overview of the CQIE program for all 3 imaging modalities is provided elsewhere (27). Here we review the CQIE PET/CT scanner qualification process and results in more detail.…”

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confidence: 99%

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Qualification of National Cancer Institute–Designated Cancer Centers for Quantitative PET/CT Imaging in Clinical Trials

et al. 2017

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Imaging Excellence (CQIE) initiative in 2010 to prequalify imaging facilities at all of the National Cancer Institute-designated comprehensive and clinical cancer centers for oncology trials using advanced imaging techniques, including PET. Here we review the CQIE PET/CT scanner qualification process and results in detail. Methods: Over a period of approximately 5 y, sites were requested to submit a variety of phantoms, including uniform and American College of Radiologyapproved phantoms, PET/CT images, and examples of clinical images. Submissions were divided into 3 distinct time periods: initial submission (T0) and 2 requalification submissions (T1 and T2). Images were analyzed using standardized procedures, and scanners received a pass or fail designation. Sites had the opportunity to submit new data for scanners that failed. Quantitative results were compared across scanners within a given time period and across time periods for a given scanner. Results: Data from 65 unique PET/CT scanners across 56 sites were submitted for CQIE T0 qualification; 64 scanners passed the qualification. Data from 44 (68%) of those 65 scanners were submitted for T2. From T0 to T2, the percentage of scanners passing the CQIE qualification on the first attempt rose from 38% for T1 to 67% for T2. The most common reasons for failure were SUV outside specifications, incomplete submission, and uniformity issues. Uniform phantom and American College of Radiology-approved phantom results between scanner manufacturers were similar. Conclusion: The results of the CQIE process showed that periodic requalification may decrease the frequency of deficient data submissions. The CQIE project also highlighted the concern within imaging facilities about the burden of maintaining different qualifications and accreditations. Finally, for quantitative imaging-based trials, further evaluation of the relationships between the level of the qualification (e.g., bias or precision) and the quality of the image data, accrual rates, and study power is needed.

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“…National efforts have been led by the Quantitative Imaging Network initiated by the National Cancer Institute (NCI), 91,92 the Radiological Society of North of America, the Quantitative Imaging Biomarkers Alliance, 93,94 and others. 95,96 The National Cancer InstituteeCenters for Quantitative Image Excellence project was initiated in 2010, and the NCTN is a key focus for this effort. 96,97 The Centers for Quantitative Image Excellence provide PET/CT and MRI phantoms and protocols for site qualification, and the Quantitative Imaging Biomarkers Alliance provides consensus "profiles" on the measurement accuracy of quantitative imaging biomarkers and the requirement/procedures needed to achieve this level of accuracy.…”

Section: Standardization Of Image Acquisition Parametersmentioning

confidence: 99%

NCTN Assessment on Current Applications of Radiomics in Oncology

Nie

Al‐Hallaq

et al. 2019

International Journal of Radiation Oncology*Biology*Physics

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Radiomics is a fast-growing research area based on converting standard-of-care imaging into quantitative minable data and building subsequent predictive models to personalize treatment. Radiomics has been proposed as a study objective in clinical trial concepts and a potential biomarker for stratifying patients across interventional treatment arms. In NotedAn online CME test for this article can be taken at https:// academy.astro.org.

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Performance Observations of Scanner Qualification of NCI-Designated Cancer Centers: Results From the Centers of Quantitative Imaging Excellence (CQIE) Program

Cited by 8 publications

References 17 publications

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

Qualification of National Cancer Institute–Designated Cancer Centers for Quantitative PET/CT Imaging in Clinical Trials

NCTN Assessment on Current Applications of Radiomics in Oncology

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