SBIR-STTR Award

A Prospective, Multi-Center Pivotal Study of the Lum Imaging System for Real-Time, in Vivo Margin Assessment in Breast Conserving Surgery
Award last edited on: 1/24/18

Sponsored Program
SBIR
Awarding Agency
NIH : NCI
Total Award Amount
$1,970,214
Award Phase
2
Solicitation Topic Code
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Principal Investigator
W David Lee

Company Information

Lumicell Inc (AKA: Lumicell~Lumicell Diagnostics Inc)

275 Washington Street Suite 200
Newton, MA 02481
   (617) 404-1001
   contact@lumicell.com,info@lumicell.com
   www.lumicell.com
Location: Single
Congr. District: 04
County: Norfolk

Phase I

Contract Number: 1R44CA211013-01
Start Date: 7/4/16    Completed: 6/30/18
Phase I year
2016
Phase I Amount
$1,033,123
Current pre-operative and intraoperative margin assessment techniques fail to adequately guide breast cancer surgeons to remove all cancer during breast conserving surgeries. As a result, more than 30% of lumpectomy patients have unrecognized tumor left in the tumor bed during the initial surgery. This residual tumor is only discovered when the pathologist evaluates the resection margins one week later and finds a positive margin. The majority of patients with positive margins (~87%) require a second surgery, which increases health care costs along with patient anxiety and discomfort. To address this unmet need, Lumicell has developed an intraoperative imaging system consisting of a molecular imaging agent (LUM015) that emits fluorescence after activation by cancer associated enzymes, a compact hand-held imaging head (LUM 2.6 Device) that captures the fluorescence emission of the agent and software that detects and displays invasive carcinomas (80% of the breast cancer cases) in real-time to guide the surgeon. Our collaborators at the Massachusetts General Hospital are conducting a feasibility study in breast cancer patients under an FDA-approved IDE. The first part of the feasibility study has been completed with no adverse events observed in 15 patients. Initial results from the feasibility study show no false negatives (100% sensitivity) with ~10% false positives. During this study, Lumicell developed an approach for detecting the much smaller foci of ductal carcinoma in situ (DCIS; 20% of breast cancer cases). As the first aim of this proposal, we will develop and implement software for real- time detection of DCIS. Our next proposed aim is a two arm, multi-institution pivotal clinical trial in support of our PMA application to measure the efficacy of the LUM Imaging System. The primary endpoint of the study is the reduction in positives margin rates for surgeries in which the LUM Imaging System is used versus standard of care (SOC) treatment for breast cancer patients undergoing breast conserving lumpectomies. The secondary endpoint is a reduction in the rate of second surgeries due to positive margins when the LUM Imaging System is used. The device arm will consists of 300 patients, while the control (SOC) arm will consists of 100 patients. In the SOC arm, patients will undergo a routine lumpectomy procedure. In the device arm, patients will undergo SOC treatment followed by imaging of the lumpectomy cavity with the LUM Imaging System. Additional therapeutic cavity shaves will be removed from regions that Lumicell's detection algorithm determines to contain cancer.

Public Health Relevance Statement:
Project Narrative The proposed project aims to address the unmet clinical need for intraoperative assessment and removal of residual cancer cells in the lumpectomy cavity after gross tumor resection in breast cancer patients. A novel imaging method for fast and thorough imaging of the tumor bed in real-time will be tested in a pivotal clinical study to measure efficacy in reducing positive margin rates and eliminating the need for repeat surgeries. Successful completion of this project will enable the FDA approval required to put this technology in the hands of breast cancer surgeons, improving care for breast cancer patients.

Project Terms:
abstracting; Academic Medical Centers; Address; Adoption; Adverse event; Algorithms; Anxiety; arm; base; Beds; Breast; Breast Cancer Patient; breast lumpectomy; Breast-Conserving Surgery; cancer cell; cancer imaging; cancer surgery; Carcinoma; Caring; Characteristics; Clinical; Clinical Research; Clinical Trials; Computer software; Data; Detection; Devices; Diagnosis; efficacy trial; Enzymes; Epidemic; Excision; expedited review; FDA approved; Feasibility Studies; Fluorescence; General Hospitals; Hand; Head; Health Care Costs; Hour; Image; Image Analysis; imaging agent; Imaging Device; imaging modality; imaging system; improved; in vivo; Institution; intraoperative imaging; Label; Left; malignant breast neoplasm; Malignant Neoplasms; Marketing; Massachusetts; Measures; meetings; Microscopic; molecular imaging; Morbidity - disease rate; Morphology; Noninfiltrating Intraductal Carcinoma; novel; Operative Surgical Procedures; Pathologist; Patients; Phase; Postoperative Period; Procedures; prospective; prototype; Randomized; Repeat Surgery; Reporting; Residual Cancers; Residual state; Residual Tumors; Safety; safety study; sarcoma; Site; Small Business Innovation Research Grant; software systems; standard of care; Statistical Data Interpretation; Surgeon; System; Techniques; Technology; Testing; Therapeutic; Thick; Time; tumor; verification and validation

Phase II

Contract Number: 5R44CA211013-02
Start Date: 7/4/16    Completed: 6/30/18
Phase II year
2017
Phase II Amount
$937,091
Current pre-operative and intraoperative margin assessment techniques fail to adequately guide breast cancer surgeons to remove all cancer during breast conserving surgeries. As a result, more than 30% of lumpectomy patients have unrecognized tumor left in the tumor bed during the initial surgery. This residual tumor is only discovered when the pathologist evaluates the resection margins one week later and finds a positive margin. The majority of patients with positive margins (~87%) require a second surgery, which increases health care costs along with patient anxiety and discomfort. To address this unmet need, Lumicell has developed an intraoperative imaging system consisting of a molecular imaging agent (LUM015) that emits fluorescence after activation by cancer associated enzymes, a compact hand-held imaging head (LUM 2.6 Device) that captures the fluorescence emission of the agent and software that detects and displays invasive carcinomas (80% of the breast cancer cases) in real-time to guide the surgeon. Our collaborators at the Massachusetts General Hospital are conducting a feasibility study in breast cancer patients under an FDA-approved IDE. The first part of the feasibility study has been completed with no adverse events observed in 15 patients. Initial results from the feasibility study show no false negatives (100% sensitivity) with ~10% false positives. During this study, Lumicell developed an approach for detecting the much smaller foci of ductal carcinoma in situ (DCIS; 20% of breast cancer cases). As the first aim of this proposal, we will develop and implement software for real- time detection of DCIS. Our next proposed aim is a two arm, multi-institution pivotal clinical trial in support of our PMA application to measure the efficacy of the LUM Imaging System. The primary endpoint of the study is the reduction in positives margin rates for surgeries in which the LUM Imaging System is used versus standard of care (SOC) treatment for breast cancer patients undergoing breast conserving lumpectomies. The secondary endpoint is a reduction in the rate of second surgeries due to positive margins when the LUM Imaging System is used. The device arm will consists of 300 patients, while the control (SOC) arm will consists of 100 patients. In the SOC arm, patients will undergo a routine lumpectomy procedure. In the device arm, patients will undergo SOC treatment followed by imaging of the lumpectomy cavity with the LUM Imaging System. Additional therapeutic cavity shaves will be removed from regions that Lumicell's detection algorithm determines to contain cancer.

Public Health Relevance Statement:
Project Narrative The proposed project aims to address the unmet clinical need for intraoperative assessment and removal of residual cancer cells in the lumpectomy cavity after gross tumor resection in breast cancer patients. A novel imaging method for fast and thorough imaging of the tumor bed in real-time will be tested in a pivotal clinical study to measure efficacy in reducing positive margin rates and eliminating the need for repeat surgeries. Successful completion of this project will enable the FDA approval required to put this technology in the hands of breast cancer surgeons, improving care for breast cancer patients.

Project Terms:
Academic Medical Centers; Address; Adoption; Adverse event; Algorithms; Anxiety; arm; base; Beds; Breast; Breast Cancer Patient; Breast Cancer Treatment; breast lumpectomy; Breast-Conserving Surgery; cancer cell; cancer imaging; Cancer Patient; cancer surgery; Carcinoma; Caring; Characteristics; Clinical; Clinical Research; Clinical Trials; Computer software; Data; Detection; Devices; Diagnosis; Enzymes; Epidemic; Excision; expedited review; FDA approved; Feasibility Studies; Fluorescence; General Hospitals; Hand; Head; Health Care Costs; Hour; Image; Image Analysis; imaging agent; Imaging Device; imaging modality; imaging system; improved; in vivo; Injectable; Institution; intraoperative imaging; Intravenous; Investigation; Label; Left; malignant breast neoplasm; Malignant Neoplasms; Massachusetts; Measures; Microscopic; molecular imaging; Morbidity - disease rate; Morphology; Noninfiltrating Intraductal Carcinoma; novel; Operative Surgical Procedures; Pathologist; Patients; Phase; Postoperative Period; Procedures; prospective; prototype; Randomized; Real-Time Systems; Repeat Surgery; Reporting; Residual Cancers; Residual state; Residual Tumors; Safety; safety study; sarcoma; Site; Small Business Innovation Research Grant; software systems; standard of care; Statistical Data Interpretation; Surgeon; System; Techniques; Technology; Testing; Therapeutic; Thick; Time; tumor; verification and validation