Abstract OT2-12-03: Pivotal study of the Lum imaging system for assisting intraoperative detection of residual cancer in the tumor bed of female patients with breast cancer: The INCITE trial

Cancer Research(2022)

引用 0|浏览8
暂无评分
摘要
Abstract Background Breast-conserving surgery is a critical step in treatment with the goal of removing all cancer cells while minimizing the removal of healthy tissue. 15% to 25% of lumpectomy patients have positive margins and require a second surgery to achieve negative margins and reduce the risk of local recurrences. These positive margins are poorly predictive (35% PPV) of cancer left in the cavity, so most second surgeries find no residual cancer. Better detection tools are needed to guide in real-time the removal of cancer missed during the initial lumpectomy to reduce the number of second operations. The pegulicianine imaging agent is injected intravenously before surgery and its fluorescence signal is activated by proteases in tumor cells and cells at the tumor margin. The LUM Imaging System visualizes activated pegulicianine in the lumpectomy cavity via a hand-held detector and proprietary tumor detection software. This system was previously tested in multiple single-site studies and a prospective multi-site study that enrolled 234 patients and showed good ability to detect residual cancer in the lumpectomy cavity. Trial Design and Specific Aims: The current prospective, multi-center, randomized, blinded study was designed to show the clinical efficacy, system accuracy, and safety of the LUM Imaging System. It aims to demonstrate guided removal of residual cancer in the lumpectomy missed during the initial procedure and potentially reduce the rates of positive margins. This study is powered by an event-driven design that requires 70 truth-standard positive events. It is expected that approximately 390 women at fourteen medical centers across the US will be enrolled to achieve the number of events. Pegulicianine is injected 2-6 hours prior to the lumpectomy procedure. Surgeons perform standard of care (SOC) lumpectomy followed by blinded intraoperative imaging of the lumpectomy cavity with the LUM Imaging System in regions where SOC shaves will be taken. The patient is then randomized. If the random assignment is to the device arm, the surgeon is directed to excise margins that have positive LUM signal. Pathologists are blinded to the source of tissue removed (SOC vs. LUM) when conducting the pathology assessment. The amount of additional tissue volume resected is also evaluated. Patient reported outcome data is collected as a quality-of-life survey before and after the subject’s lumpectomy.Eligibility Criteria: This study seeks to enroll women with primary invasive breast cancer (IBC), ductal carcinoma in situ (DCIS) or a combination of IBC/DCIS undergoing a lumpectomy for their breast malignancy. Patients must not have a history of allergic reaction to polyethylene glycol, contrast agents, or have received neoadjuvant therapy to treat their current breast cancer. Use of blue dyes before imaging with the LUM System are not allowed. Additional detailed eligibility criteria are listed in the protocol. Accrual and Study Progress To date, 350 subjects have participated in this trial. This study is funded in part by the National Cancer Institute (5R44CA211013). This trial is registered as NCT03686215. Citation Format: Jorge Ferrer, David Carr, Peter Blumencranz, Irene Wapnir, Donna Dyess, Shelly Hwang, Nayana Dekhne, Daleela Dodge, Beth-Ann Lesnikoski, Kelly Hunt, Patricia Clark, Stephanie Valente, Marie Catherine Lee, Lynne Clark, Brian Schlossberg, Sean Madden, Alejandra Rodriguez, Kate Smith, Manna Chang, Barbara Smith. Pivotal study of the Lum imaging system for assisting intraoperative detection of residual cancer in the tumor bed of female patients with breast cancer: The INCITE trial [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr OT2-12-03.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要