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Image Response Assessment and Biopsy Management

$324,140P30FY2023CANIH

Johns Hopkins University, Baltimore MD

Investigators

Linked publications, trials & patents

Trial NCT02989636Trial NCT02516670Trial NCT02491411Trial NCT02489357Trial NCT02029950Trial NCT01935947Trial NCT01870596Trial NCT01783171Trial NCT01757639Trial NCT01578109Trial NCT01349972Trial NCT01349959Trial NCT01330173Trial NCT01264432Trial NCT01207726Trial NCT01207687Trial NCT01139970Trial NCT01132573Trial NCT01061749Trial NCT00971737Trial NCT00963807Trial NCT00899951Trial NCT00899548Trial NCT00898482Trial NCT00897338Trial NCT00897273Trial NCT00847171Trial NCT00795002Trial NCT00727441Trial NCT00673569Trial NCT00670917Trial NCT00660348Trial NCT00641303Trial NCT00641147Trial NCT00631137Trial NCT00616967Trial NCT00602771Trial NCT00588991Trial NCT00566098Trial NCT00524017Trial NCT00499733Trial NCT00499486Trial NCT00493025Trial NCT00492921Trial NCT00489281Trial NCT00478062Trial NCT00478010Trial NCT00471653Trial NCT00470093Trial NCT00469820Trial NCT00445484Trial NCT00433472Trial NCT00425477Trial NCT00407966Trial NCT00401024Trial NCT00389610Trial NCT00387465Trial NCT00381550Trial NCT00373191Trial NCT00369681Trial NCT00368914Trial NCT00363649Trial NCT00361296Trial NCT00356928Trial NCT00354640Trial NCT00343447Trial NCT00336063Trial NCT00334542Trial NCT00324870Trial NCT00313560Trial NCT00311623Trial NCT00305760Trial NCT00303927Trial NCT00293410Trial NCT00293397Trial NCT00293280Trial NCT00290732Trial NCT00287989Trial NCT00287872Trial NCT00281970Trial NCT00281866Trial NCT00278200Trial NCT00278161Trial NCT00278109Trial NCT00276744Trial NCT00276601Trial NCT00276588Trial NCT00274768Trial NCT00265915Trial NCT00265837Trial NCT00262834Trial NCT00258206Trial NCT00258180Trial NCT00255775Trial NCT00255710Trial NCT00245115Trial NCT00244959Trial NCT00242996Trial NCT00238368Trial NCT00238277

Abstract

PROJECT SUMMARY/ABSTRACT Imaging has become the leading diagnostic procedure in early and advanced clinical trials of cancer therapeutics, which provides key information as to whether lesions are responding to the therapy. Qualitative imaging is now being complemented by sophisticated quantitative approaches, such as Machine and Deep Learning and Radiomics. To ensure access to advanced imaging technologies, including quantitative PET, MRI and CT, the Imaging Response Assessment and Biopsy Services Team (IRAT) Shared Resource (SR) continues to provide services to Sidney Kimmel Comprehensive Cancer Center (SKCCC) investigators, including: 1) consultation and guidance on the proper choice, design and use of imaging studies in clinical trials; 2) expert reviews of clinical protocols to assure that the imaging protocol and analysis plans are appropriate for the chosen task; 3) state-of-the-art prompt and accurate assessment of tumor response using standardized anatomic and metabolic response criteria, including RECIST 1.1, IrRECIST, PERCIST 1.0 and other imaging-defined response metrics; 4) image archival, anonymization and data import/export for trials; 5) development and integration of a new research biopsy management service, which assists and monitors research biopsies to make sure they are performed according to protocol, guaranteeing that the appropriate core samples are acquired for study compliance; 5) developing documents, protocols and forms to assist in studies performed at one or multiple sites; 6) regulatory guidance on radiation exposure and molecular imaging agents; 7) assisting in the development of nontraditional imaging metrics for response assessment, including participation in ACRIN and ECOG trials; 8) improving collaborations among SKCCC investigators and imaging specialists in quantitative imaging; and 9) providing novel deep learning and radiomic metrics for detection, classification and monitoring treatment response. Future plans include introducing these new and advanced computing and software platforms for robust quantitative analyses of single and multimodality imaging studies of cancer treatment response. The IRAT SR's input into study design and analysis is expected to lead to more appropriate, accurate and reproducible imaging in cancer therapy studies performed at The Johns Hopkins University and in collaboration with other institutions. The appropriate quantitative imaging methodology will benefit clinical cancer therapy trials at all phases and accelerate translational cancer research. The IRAT SR provides critical services using radiological imaging methods, such as PET, MRI and CT, and by acquiring tissue samples to help evaluate tumors and determine the potential of response to different treatments. SKCCC Managed Shared Resource Reporting Period: January 1, 2020 to December 31, 2020

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