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Optical Scatter Imaging System for Surgical Specimen Margin Assessment during Breast Conserving Surgery

光学散射成像系统用于保乳手术中手术标本边缘评估

基本信息

批准号：
9020962
负责人：
KEITH D. PAULSEN
金额：
$ 46.06万
依托单位：
DARTMOUTH COLLEGE
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-03-01 至 2020-02-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9020962
关键词：
Algorithmic Software Algorithms American Blinded Blood Breast Breast-Conserving Surgery Cancer Detection Classification Clinical Collaborations Collection Computer Assisted Computer software Consensus Cost Control Coupled Data Data Set Decision Making Devices Diagnostic Diagnostic Neoplasm Staging Disease remission Electrons Engineering Excision Face Frequencies Frozen Sections Future Grant Health Health Care Costs Human Resources Image In Situ Ink Institutes Intellectual Property Intervention Studies Ipsilateral Label Lateral Lesion Light Liquid substance Malignant Neoplasms Mammography Medical Meta-Analysis Methods Microscopic Modality Molecular Morphology Noninfiltrating Intraductal Carcinoma Operative Surgical Procedures Optics Outcome Pathology Patients Performance Phase Procedures Property Publishing Radiation Oncology Recurrence Reporting Research Resected Residual Cancers Risk Scanning Side Signal Transduction Societies Software Engineering Specimen Spectrum Analysis Structure Surface Surgeon Surgical Oncology Surgical margins System Systems Development Systems Integration Technology Testing Time Tissue Banking Tissue Banks Tissue Sample Tissue imaging Tissues Training Uncertainty Validation Woman Work X-Ray Computed Tomography base breast imaging breast lesion breast malignancies cancer imaging cohort design experience image processing imaging system industry partner innovation medical schools medical specialist microCT pre-clinical prospective prototype spectroscopic imaging translational study

项目摘要

DESCRIPTION (provided by applicant): Breast conserving surgery is routinely offered for localized breast malignancies, but has a known problem of uncertainty about if the entire cancer has been removed. Today, approximately one third of all patients are recalled for a second re-excision because either residual cancer or DCIS was found on the specimen surface or within 1-2 mm of it, when analyzed in pathology in the days after the initial procedure. There is a need for an accurate surgeon assist device, which can determine the potential that the resected specimen is clear of cancer at the margins. This can be directly solved through a technological solution which is optimized for wide- field and volumetric scanning, coupled with computer-aided decision making. In this academic-industry partnership, wide-field optical scatter spectroscopic imaging is coupled to volumetric CT scanning of specimens, in a package which integrates a substantial pre-clinical experience by the PerkinElmer team, with substantial prototyping and clinical specimen imaging work of the Dartmouth team. Scatter imaging allows surface scanning through high-spatial frequency imaging of the tissue, which negates erroneous signals from blood, fluid or ink on the tissue surface, which is critically important for fast in situ imaging o large tissue fields. This will be coupled with fast volumetric CT imaging in integrated display software. The surface molecular- structural features are key to identifying potential cancer regions for the surgeon, as is the volumetric CT key to identifying the internal tracks of the cancer which were seen on mammography and can be used to help identify which faces of the specimen are closest to the internal lesion. The combined system will be completed in the first few years, and tested for training data sets on known tissue samples from the breast lesion tissue bank. Following validation, a prospective trial will be carried out on the system, to help determine the accuracy in margin identification. Taken together this will be one of the first comprehensive approaches to volumetric and surface scanning in a single package, and comes from two groups with substantial experience in the aspects of cancer imaging and system development.