Low-Field NMR Relaxometry for Intraoperative Tumour Margin Assessment in Breast-Conserving Surgery.

Autor: Bitonto V; Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy., Ruggiero MR; Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy., Pittaro A; Pathology Unit, Department of Medical Sciences, University of Turin, 10126 Torino, Italy., Castellano I; Pathology Unit, Department of Medical Sciences, University of Turin, 10126 Torino, Italy., Bussone R; Breast Unit, Ospedale Cottolengo, 10152 Torino, Italy., Broche LM; Aberdeen Biomedical Imaging Centre, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK., Lurie DJ; Aberdeen Biomedical Imaging Centre, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK., Aime S; Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.; IRCCS SDN, Via E. Gianturco 113, 80143 Napoli, Italy., Baroni S; Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy., Geninatti Crich S; Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.
Jazyk: angličtina
Zdroj: Cancers [Cancers (Basel)] 2021 Aug 17; Vol. 13 (16). Date of Electronic Publication: 2021 Aug 17.
DOI: 10.3390/cancers13164141
Abstrakt: As conserving surgery is routinely applied for the treatment of early-stage breast cancer, the need for new technology to improve intraoperative margin assessment has become increasingly important. In this study, the potential of fast field-cycling 1 H-NMR relaxometry as a new diagnostic tool was evaluated. The technique allows the determination of the tissue proton relaxation rates ( R 1 ), as a function of the applied magnetic field, which are affected by the changes in the composition of the mammary gland tissue occurring during the development of neoplasia. The study involved 104 small tissue samples obtained from surgical specimens destined for histopathology. It was found that a good accuracy in margin assessment, i.e., a sensitivity of 92% and a specificity of 85%, can be achieved by using two quantifiers, namely (i) the slope of the line joining the R 1 values measured at 0.02 and 1 MHz and (ii) the sum of the R 1 values measured at 0.39 and 1 MHz. The method is fast, and it does not rely on the expertise of a pathologist or cytologist. The obtained results suggest that a simplified, low-cost, automated instrument might compete well with the currently available tools in margin assessment.
Databáze: MEDLINE