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Cloud quantitative imaging for whole-body tumor burden in neurofibromatoses

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 2R42CA192600-02
Agency Tracking Number: R42CA192600
Amount: $1,459,820.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: 102
Solicitation Number: PA17-303
Timeline
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-08-13
Award End Date (Contract End Date): 2020-07-31
Small Business Information
116 DOUGLAS RD, Belmont, MA, 02478-3915
DUNS: 079142619
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 YIN WU
 (617) 489-9871
 yinwu@iqmedicalimaging.com
Business Contact
 YIN WU
Phone: (857) 891-8977
Email: yinwu@iqmedicalimaging.com
Research Institution
 MASSACHUSETTS GENERAL HOSPITAL
 55 FRUIT STREET
BOSTON, MA, 02114-2696
 Domestic nonprofit research organization
Abstract
Project SummaryAbstract The neurofibromatosesNFsincluding NFNFand schwannomatosisare a group of autosomal dominant neurogenetic disorders characterized by a predisposition in virtuallyof patients to develop multiple nerve sheath tumorsThe determination of tumor burden on magnetic resonance imagingMRIis indispensable for the longitudinal management of NF patientswhich includes life long follow up for the monitoring of tumor progression and the assessment of treatment responseHowevervolumetric quantification of NF tumors is not a clinical routine because of the technical challenges in the accurate and reproducible segmentation of highly irregular and infiltrating NF tumorsin particular plexiform neurofibromas on MRIThe goal of this STTR project is to develop cloud quantitative imagingCQIfor NF softwaredenoted as CQI NFwhich will provide the technical and clinical service for volumetric quantification of NF tumors on whole body and regional MRI via andquot virtualizationandquotcloud computingtechnologyThe product developed in this STTR will provide access to this technology for the NF clinical community nationwide and worldwide without the excessive cost to maintain on site advanced volumetric imaging analysis software and hardwareThis project will be built upon existing technologies for volumetric imaging analysis developed on the software platformDQIin theD Imaging Lab at Massachusetts General HospitalMGHand will be evaluated usinglongitudinal whole body and regional MRI cases collected from the NF community worldwideThe specific aims of this Phase II project areDevelopment of CQI NF systemWe will continue to develop the CQI NF system prototyped in our Phase I project to improve the accuracy and efficiency of segmentation by paralleling dynamic threshold level setDT level setin multi server platformcombining deep learning in DT level set for the segmentation of NF tumorsand to translate the CQI NF system fromDQI NF into a private cloud platformsuch as TeraReconandapos s iNtuition CLOUDfor the provision of volumetric quantification of NF using a software as a serviceSaaSmodel in the NF communityEvaluation of CQI NF systemWe will conduct a retrospective clinical study to evaluate the accuracy and reproducibility of the CQI NF system in the longitudinal monitoring ofNF patients collected at MGH Cancer Center and our clinical collaborators worldwide in the NF communityPreparation of FDAkclearance submissionWe will establish the quality management system for CQI NF to meet FDA regulationand prepare the required documentation for FDAkclearance submission for the long term project goal of clinical translation of CQI NFThe successful development and validation of the proposed CQI NF system will have a high clinical impact in the NF community by providing a cloud computing infrastructure for the volumetric imaging analysis of NF on MRIwhich is not available in current clinical routinethereby leading to a substantial advance in the longitudinal management of NF patients Project Narrative The determination of whole body tumor burden is indispensable for the management of neurofibromatosisNFpatientswhich includes life long follow up for the monitoring of tumor progression and assessment of treatment responseThis STTR phase II project continues to develop the cloud quantitative imaging for NFCQI NFsoftware that was prototyped in Phase I based on the core technology developed at the MGHD Imaging LabThe successful translation of the proposed CQI NF will provide a software as a serviceSaaSmodel of volumetric quantification of NF tumors on both whole body and regional MRI via andquot virtualizationandquotcloud computingtechnology in the NF community

* Information listed above is at the time of submission. *

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