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Summers PE, Vingiani A, Di Pietro S, Martellosio A, Espin-Lopez PF, Di Meo S, Pasian M, Ghitti M, Mangiacotti M, Sacchi R, Veronesi P, Bozzi M, Mazzanti A, Perregrini L, Svelto F, Preda L, Bellomi M, Renne G. Towards mm-wave spectroscopy for dielectric characterization of breast surgical margins. Breast 2019; 45:64-69. [PMID: 30884340 DOI: 10.1016/j.breast.2019.02.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/17/2019] [Accepted: 02/19/2019] [Indexed: 10/27/2022] Open
Abstract
PURPOSE The evaluation of the surgical margin in breast conservative surgery is a matter of general interest as such treatments are subject to the critical issue of margin status as positive surgical margins can undermine the effectiveness of the procedure. The relatively unexplored ability of millimeter-wave (mm-wave) spectroscopy to provide insight into the dielectric properties of breast tissues was investigated as a precursor to their possible use in assessment of surgical margins. METHODS We assessed the ability of a mm-wave system with a roughly hemispherical sensitive volume of ∼3 mm radius to distinguish malignant breast lesions in prospectively and consecutively collected tumoral and non-tumoral ex-vivo breast tissue samples from 91 patients. We characterized the dielectric properties of 346 sites in these samples, encompassing malignant, fibrocystic disease and normal breast tissues. An expert pathologist subsequently evaluated all measurement sites. RESULTS At multivariate analysis, mm-wave dielectric properties were significantly correlated to histologic diagnosis and fat content. Further, using 5-fold cross-validation in a Bayesian logistic mixed model that considered the patient as a random effect, the mm-wave dielectric properties of neoplastic tissues were significantly different from normal breast tissues, but not from fibrocystic tissue. CONCLUSION Reliable discrimination of malignant from normal, fat-rich breast tissue to a depth compatible with surgical margin assessment requirements was achieved with mm-wave spectroscopy.
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Affiliation(s)
- Paul E Summers
- Division of Radiology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
| | - Andrea Vingiani
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | | | - Andrea Martellosio
- Division of Radiology, IEO, European Institute of Oncology IRCCS, Milan, Italy; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Pedro F Espin-Lopez
- Division of Radiology, IEO, European Institute of Oncology IRCCS, Milan, Italy; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Simona Di Meo
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Marco Pasian
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Michele Ghitti
- Applied Statistics Unit, Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy
| | - Marco Mangiacotti
- Applied Statistics Unit, Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy
| | - Roberto Sacchi
- Applied Statistics Unit, Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy
| | - Paolo Veronesi
- Division of Senology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Maurizio Bozzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Andrea Mazzanti
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Luca Perregrini
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Francesco Svelto
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Lorenzo Preda
- Division of Radiology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Massimo Bellomi
- Division of Radiology, IEO, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Giuseppe Renne
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
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