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Last Updated: 11/09/17
Quantitative Imaging Network (QIN)

Validating QIN Tools

QIN researchers endeavor to enhance quantitative imaging in clinical trials for prediction and/or measurement of response to cancer therapies. One avenue for this enhancement is to emphasize the development, optimization and validation of state-of-the-art QI methods and software tools for potential implementation in single or multi-site clinical trials. The second avenue to enhance QI methods is to address the challenges of integrating existing and or new QI methods as required for multicenter clinical trials. This may involve evaluation of a range of multimodal imaging approaches, harmonization of image data collection, analysis, display and clinical workflow methods across imaging platforms, or testing their performance across different cancer site.

The short list below showcases a few of the recent mature QIN tools involved in prospective clinical trials:

INSTITUTION Tool Name Tool Type Image modality Tool Capabilities Tool Description
Columbia University Solid Tumor Segmentation Algorithm: segmentation methods for solid tumors CT, MRI, and/or PET Solid tumor segmentation Software for segmentation of solid tumors (e.g., tumors in lung, liver and lymph nodes).
Columbia University Image-based Response Assesment Platform Software Application: A platform for image-based therapy response assessment MRI, CT Clinical decision support, Tumor segmentation, Conventional and volumetric response assessment. A practical system for tumor response assessment based on Weasis, an open source imaging platform.
Emory Spectroscopic MRI clinical interface A web-based sMRI clinical interface for the analysis, visualization and integration of sMRI data into patient management. MR Spectroscopy (1) The integration of automated spectral filtering to enable ad-hoc and post-hoc filtering of any data imported into the web applications; (2) Rigid registration of the sMRI maps with clinical images; (3) Automated segmentation of regions-of-interest in metabolite maps. A useful and intuitive framework to assist end-users in displaying, evaluating and manipulating sMRI metabolic information alongside standard clinical images, enabling integration of volumetric metabolic data into the clinical workflow.
Emory SOX2 IHC Glioma automatic analysis Immunohistochemical analysis tool Histology Quantify SOX2-positive cells over hematoxylin-positive cells to calculate glioma infiltration for image-histology correlation assessment from digital-scanned in brain tissue slices. Tumor infiltration in terms of SOX2 density (SOX2-positive area/total tissue area) can be quantified using automated, whole-slide image analysis.
Johns Hopkins AutoPERCIST Software Application: A working application for quantitative analysis, translation of QIN research into practice, or decision support. A tool may implement an algorithm. PET, PET/CT Clinical decision support, Image Quantitation - Static, Image segmentation, Image viewer/visualization, Response assessment. Software for semi-automated PERCIST-based analysis of FDG-PET image studies.
Stanford ePAD Web-based image viewer and annotator Software Application: A working application for quantitative analysis, translation of QIN research into practice, or decision support. The tool has a plugin mechanism for extending the platform and for translating QIN methods into clinical trials. Modality independent Clinical decision support, Data collection, Data mining, Image annotation, Image metadata archiving, Response assessment. A Web-based image viewing and annotation platform to enable deploying quantitative imaging biomarkers into clinical trial workflow.
University of California San Francisco Breast Cancer Response Tool Software Application and Algorithm for Volumetric analysis of Breast Cancer response to neoadjuvant chemotherapy MRI, DCE-MRI Image Quantitation - Dynamic, Image reconstruction, Image registration, Image segmentation, Image viewer/visualization; Commercial version used by approximately 20 sites in the I-SPY 2 TRIAL. Image processing and analysis package for breast MRI; primary application is volumetric analysis of breast tumors based on DCE-MRI contrast kinetics.
University of California San Francisco Breast Diffusion Analysis Tool Software Application and Algorithm for predicting breast cancer response with DW-MRI MRI, DW-MRI MRI DWI (ADC, IVIM, PerfusionSuppressed) and DTI (ADC, FA, Eigenvalues) evaluation including parametric map generation and region-of-interest statistical evaluation. Automated and customizable pipelines for processing of DWI and DTI acquisitions; Extensive volumetric ROI tools, including direct measures and normalization to normal contra-lateral tissue; In use for primary and secondary aim analyses of the ACRIN 6698 Trial and the I-SPY 2 TRIAL.
University of Washington PET F-18 X-Cal System Quantitative PET canibration phantom PET PET scanner calibration This patented product and application allows for cross calibration of your PET scanner, dose calibrator, and well detector for Ga-68 and F-18, and is useful in multi-center imaging trials to both assess bias and enable correction of biases due to instrumentation factors for serial PET studies.
Vanderbilt University Medical Center DCE Pkinetic analysis + fusion to PET/CT data Software Application: A working application for quantitative analysis, translation of QIN research into practice, or decision support. A tool may implement an algorithm. PET/CT, MRI, DCE-MRI, DW-MRI Clinical decision support, Image Quantitation - Dynamic, Image registration, Response assessment. Provides accurate methods for data acquisition and analysis for T1 mapping, ADC mapping, pkinetic analysis, longitudinal registration between PET and MRI data.
Vanderbilt University Medical Center Longitudinal registration Algorithm: Method for image processing, quantitative feature extraction, or other methods to further the aims of QIN. PET, PET/CT, MRI, DCE-MRI, DW-MRI Image registration Perform longitudinal, inter-modality registration before and during therapy.
University of Arkansas for Medical Sciences (UAMS-Emory) TCIA Technology Stack Integrated set of open source software to support a research image repository. All DICOM data types, Digitized pathology slides. Multiple tools for image de-identification, secure transport, image and related information storage and management, data curation and quality assessment, multiple web-based query interfaces, multi-threaded data download capabiltiy, and viewers for radiology and pathology image. Complete package of open source software for image acquisition, curation, management and distribution.