Point‐of‐care devices based on fluorescence imaging and spectroscopy for tumor margin detection during breast cancer surgery: Towards breast conservation treatment

Author:

Thapa Pramila1,Singh Veena1,Gupta Komal2,Shrivastava Anurag2,Kumar Virendra1,Kataria Kamal2,Mishra Piyush R.2,Mehta Dalip S.1ORCID

Affiliation:

1. Department of Physics, Bio‐photonics and Green‐photonics Laboratory Indian Institute of Technology Delhi New Delhi India

2. Department of Surgical Disciplines All India Institute of Medical Sciences (AIIMS) New Delhi India

Abstract

AbstractObjectiveFluorescence‐based methods are highly specific and sensitive and have potential in breast cancer detection. Simultaneous fluorescence imaging and spectroscopy during intraoperative procedures of breast cancer have great advantages in detection of tumor margin as well as in classification of tumor to healthy tissues. Intra‐operative real‐time confirmation of breast cancer tumor margin is the aim of surgeons, and therefore, there is an urgent need for such techniques and devices which fulfill the surgeon's priorities.MethodsIn this article, we propose the development of fluorescence‐based smartphone imaging and spectroscopic point‐of‐care multi‐modal devices for detection of invasive ductal carcinoma in tumor margin during removal of tumor. These multimodal devices are portable, cost‐effective, noninvasive, and user‐friendly. Molecular level sensitivity of fluorescence process shows different behavior in normal, cancerous and marginal tissues. We observed significant spectral changes, such as, red‐shift, full‐width half maximum (FWHM), and increased intensity as we go towards tumor center from normal tissue. High contrast in fluorescence images and spectra are also recorded for cancer tissues compared to healthy tissues. Preliminary results for the initial trial of the devices are reported in this article.ResultsA total 44 spectra from 11 patients of invasive ductal carcinoma (11 spectra for invasive ductal carcinoma and rest are normal and negative margins) are used. Principle component analysis is used for the classification of invasive ductal carcinoma with an accuracy of 93%, specificity of 75% and sensitivity of 92.8%. We obtained an average 6.17 ± 1.66 nm red shift for IDC with respect to normal tissue. The red shift and maximum fluorescence intensity indicates p < 0.01. These results described here are supported by histopathological examination of the same sample.ConclusionIn the present manuscript, simultaneous fluorescence‐based imaging and spectroscopy is accomplished for the classification of IDC tissues and breast cancer margin detection.

Publisher

Wiley

Subject

Dermatology,Surgery

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