Abstract OT3-06-02: Expansion into multiple institutions for training in the use of the LUM Imaging System for intraoperative detection of residual cancer in the tumor bed of female subjects with breast cancer
Authors: Kate Smith, Jorge Ferrer, David Carr, Peter Blumencranz, Daleela Dodge, Nayana Dekhne, Irene Wapnir, Kelly Hunt, Linsey Gold, Stephanie Valente, Peter Beitsch, Donna Dyess, Shelly Hwang, Lynne Clark, Beth-Ann Lesnikoski, Anees Chagpar, Stephen Karp, Brian Schlossberg, Livia Gjylameti, Barbara Smith
Journal: Cancer Research (2020)

Abstract Background: Standard surgical techniques result in positive lumpectomy margins 20-40% of the time. These positive margins require surgical re-excision which places significant burden on the healthcare system and patients. The LUM Imaging System consists of a fluorescence-based imaging agent, a hand-held wide-field detector (LUM Imaging Device) used to image the surgical cavity walls intraoperatively in real-time after the resection of the main lumpectomy specimen, and a proprietary tumor detection algorithm that highlights regions in the tumor bed suspected to contain residual cancer. This imaging system was previously tested in a single-site clinical study. The current study is evaluating the imaging system in a multi-study, large patient cohort. Trial Design / Methods This trial (NCT03321929) is a non-randomized, open-label, multi-site trial designed to further refine the tumor detection algorithm utilized by the LUM Imaging System. This is a prospective, interventional feasibility study and is a pilot arm to a pivotal study which will evaluate the safety and efficacy of the LUM Imaging System. Up to 250 adult female breast cancer patients undergoing lumpectomies are being enrolled at sixteen medical centers across the US. LUM015, a fluorescence-based imaging agent, is injected prior to the subject’s lumpectomy procedure. Surgeons perform their standard of care lumpectomy followed by intraoperative imaging of the lumpectomy cavity with the LUM Imaging System. Specific Aims The primary objective is to assess performance characteristics of the LUM Imaging System and to refine the tumor detection algorithm. A secondary objective is to develop and refine the process of implementing the LUM Imaging System into institution-specific workflows during lumpectomies. Eligibility Criteria This study seeks to enroll women, over the age of 18 and with histologically or cytologically confirmed primary invasive breast cancer (IBC), ductal carcinoma in situ (DCIS) or a combination of IBC/DCIS undergoing a lumpectomy for their breast malignancy. In addition to be willing to follow study procedures, participating in an informed consent discussion, signing an informed consent form, and having baseline lab and screening values within protocol limits, enrolled subjects must meet the following key exclusion criteria: have no history of allergic reaction to polyethylene glycol, no history of allergic reaction to intravenous contrast agents, have not undergone any systemic therapies to treat their cancer, and will not be administered methylene blue or other dye for sentinel lymph node detection during their lumpectomy. Additional detailed eligibility criteria are listed in the protocol. Statistical Methods For categorical variables, summary tabulations of the number and percentage of patients within each category (with a category for missing data) of the parameter will be presented. For continuous variables, the number of patients, mean, median, standard deviation, minimum, and maximum values will be presented. The secondary objective will be met by evaluating a robust training and proficiency protocol for all enrolling institutions. Accrual To date, 208 subjects have participated in this LUM Imaging System trial. Contact Information Jorge Ferrer: jmferrer@lumicell.com Kate Smith: kate@lumicell.com Citation Format: Kate Smith, Jorge Ferrer, David Carr, Peter Blumencranz, Daleela Dodge, Nayana Dekhne, Irene Wapnir, Kelly Hunt, Linsey Gold, Stephanie Valente, Peter Beitsch, Donna Dyess, Shelly Hwang, Lynne Clark, Beth-Ann Lesnikoski, Anees Chagpar, Stephen Karp, Brian Schlossberg, Livia Gjylameti, Barbara Smith. Expansion into multiple institutions for training in the use of the LUM Imaging System for intraoperative detection of residual cancer in the tumor bed of female subjects with breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr OT3-06-02.