Intraoperative Evaluation of Breast Tissues During Breast Cancer Operations Using the MasSpec Pen

• Published in: JAMA network open Vol. 7; no. 3; p. e242684
• Main Authors: Garza, Kyana Y, King, Mary E, Nagi, Chandandeep, DeHoog, Rachel J, Zhang, Jialing, Sans, Marta, Krieger, Anna, Feider, Clara L, Bensussan, Alena V, Keating, Michael F, Lin, John Q, Sun, Min Woo, Tibshirani, Robert, Pirko, Christopher, Brahmbhatt, Kirtan A, Al-Fartosi, Ahmed R, Thompson, Alastair M, Bonefas, Elizabeth, Suliburk, James, Carter, Stacey A, Eberlin, Livia S
• Format: Journal Article
• Language: English
• Published: United States American Medical Association 22-03-2024
• Subjects: Online Only; Original Investigation; Surgery
• ISSN: 2574-3805; 2574-3805
• DOI: 10.1001/jamanetworkopen.2024.2684

Surgery with complete tumor resection remains the main treatment option for patients with breast cancer. Yet, current technologies are limited in providing accurate assessment of breast tissue in vivo, warranting development of new technologies for surgical guidance.
To evaluate the performance of the MasSpec Pen for accurate intraoperative assessment of breast tissues and surgical margins based on metabolic and lipid information.
In this diagnostic study conducted between February 23, 2017, and August 19, 2021, the mass spectrometry-based device was used to analyze healthy breast and invasive ductal carcinoma (IDC) banked tissue samples from adult patients undergoing breast surgery for ductal carcinomas or nonmalignant conditions. Fresh-frozen tissue samples and touch imprints were analyzed in a laboratory. Intraoperative in vivo and ex vivo breast tissue analyses were performed by surgical staff in operating rooms (ORs) within 2 different hospitals at the Texas Medical Center. Molecular data were used to build statistical classifiers.
Prediction results of tissue analyses from classification models were compared with gross assessment, frozen section analysis, and/or final postoperative pathology to assess accuracy.
All data acquired from the 143 banked tissue samples, including 79 healthy breast and 64 IDC tissues, were included in the statistical analysis. Data presented rich molecular profiles of healthy and IDC banked tissue samples, with significant changes in relative abundances observed for several metabolic species. Statistical classifiers yielded accuracies of 95.6%, 95.5%, and 90.6% for training, validation, and independent test sets, respectively. A total of 25 participants enrolled in the clinical, intraoperative study; all were female, and the median age was 58 years (IQR, 44-66 years). Intraoperative testing of the technology was successfully performed by surgical staff during 25 breast operations. Of 273 intraoperative analyses performed during 25 surgical cases, 147 analyses from 22 cases were subjected to statistical classification. Testing of the classifiers on 147 intraoperative mass spectra yielded 95.9% agreement with postoperative pathology results.
The findings of this diagnostic study suggest that the mass spectrometry-based system could be clinically valuable to surgeons and patients by enabling fast molecular-based intraoperative assessment of in vivo and ex vivo breast tissue samples and surgical margins.