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Project 1: Clinical Trials in Intraoperative Molecular Imaging of Non-Small Cell Cancer

项目1：非小细胞癌术中分子影像临床试验

基本信息

批准号：
10333064
负责人：
Sunil Singhal
金额：
$ 44.04万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-06-16 至 2027-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10333064
关键词：
Address Adjuvant American Applications Grants Back Binding Biopsy Bronchoscopy Cancer Patient Cancerous Cells Clinic Clinical Clinical Trials Colonoscopy Colposcopy Contrast Media Cystoscopy Deposition Detection Devices Diagnosis Diagnostic Disease Dose Endoscopy Equipment Esophagoscopy Excision FOLR1 gene Genomics Goals Grant Histologic Histology Human Image Image-Guided Surgery Imaging Device Individual Infusion procedures Laparoscopy Lesion Localized Malignant Neoplasm Location Lung Lung nodule Malignant Neoplasms Malignant neoplasm of lung Measures Medical Imaging Micrometastasis Motion Near-infrared optical imaging Nodule Non-Small-Cell Lung Carcinoma Operating Rooms Operative Surgical Procedures Optics Pathologic Patient imaging Patients Penetration Pennsylvania Phase Polyps Predictive Value Problem Solving Procedures Pulmonary Pathology Resectable Resected Residual Cancers Residual state Resolution Second Primary Cancers Series Solid Neoplasm Specificity Specimen Staging Surgeon Technology Testing Therapeutic Thoracic Surgical Procedures Time Tissues Tracer Translating Translations Universities Validation Work body cavity cancer cell cancer surgery capsule clinical application diagnostic accuracy draining lymph node experience first-in-human flexibility healthy volunteer image guided improved innovation innovative technologies lymph nodes molecular imaging new technology novel operation optical imaging radiological imaging receptor respiratory standard of care success tumor wound bed

项目摘要

Project Summary The primary goal of this Project is to translate near-infrared optical contrast agents for image-guided bronchoscopy and surgery. When a patient is found to have a lung nodule, the two procedures are a diagnostic bronchoscopy and a therapeutic surgery. However, these two procedures are plagued with problems such as discriminating between cancerous and non-cancerous nodules, finding second cancers, identifying positive margins, and performing an accurate back table pathological assessment. Therefore, the success rate for bronchoscopy and surgery for lung cancer are both around 60%. There are urgent unmet needs to develop new and innovative technologies that can assist the clinician in localizing cancer cells, delineating tumor margins, and identifying micrometastases and draining lymph nodes. We propose a new technology to image patients during standard-of-care bronchoscopy and surgery in order to identify cancerous lesions, to discover residual local disease before completing the procedure, and to render a diagnosis. While the proposed technologies are broadly applicable to solid tumors, this project is specifically committed to improving detection of lung cancer, one of the most aggressive human malignancies. To accomplish this goal, we have assembled a collaborative team at University of Pennsylvania with synergistic expertise in clinical trials, lung pathology, thoracic surgery, and imaging. The proposed work will optimize four distinct types of contrast agents in a combination or cocktail for a translational intraoperative imaging clinical trials. The tracer combination will be evaluated in a first-in-human clinical trial of lung cancer patients in order to determine if there is a benefit of intraoperative imaging to standard-of-care bronchoscopy and surgery. The combination contrast agent strategy will allow better imaging of diseased cells more deeply buried in the tissues. This will allow for precise tumor localization and more accurate resection of cancers without violating the tumor capsule or seeding the body cavity.

项目总结