Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5758
Title: Differentiation of malignant from benign thyroid nodules using photoacoustic spectral response: A preclinical study
Authors: Gorey, Abhijeet
Vasudevan, Srivathsan
Keywords: Article;biopsy;cancer diagnosis;diagnostic accuracy;elasticity;Fourier transform spectroscopy;human;human tissue;photoacoustic spectroscopy;preclinical study;signal processing;thyroid hyperplasia;thyroid nodule;thyroid papillary carcinoma
Issue Date: 2019
Publisher: Institute of Physics Publishing
Citation: Gorey, A., Jacob, P. M., Abraham, D. T., John, R., Manipadam, M. T., Ansari, M. S., . . . Vasudevan, S. (2019). Differentiation of malignant from benign thyroid nodules using photoacoustic spectral response: A preclinical study. Biomedical Physics and Engineering Express, 5(3) doi:10.1088/2057-1976/ab101c
Abstract: Thyroid nodule (TN), a discrete palpable swelling of the thyroid gland, is prevalent among 8% of the adult population. The important concern with these nodules is the differentiation between benign and malignant ones. Since conventional diagnostic techniques (e.g., ultrasound) are not accurate in diagnosis, clinical surgeons adopt to excision biopsy, a golden standard, which requires surgery and removal of the gland. We propose to apply Photoacoustic Spectral Response (PASR), a non-invasive and elasticity based diagnostic technique, onto TN for malignancy diagnosis. In this study, time domain photoacoustic signals were acquired through custom built experimental setup inside the surgical theatre and spectral information were obtained through signal processing. PA spectra could distinguish Follicular Variant of Papillary Thyroid Carcinoma (a thyroid cancer) from the other tissues with a high accuracy which an important challenge in conventional diagnostic techniques. Further, other tissue variants were also successfully differentiated through signal decomposition in a quantitative manner. © 2019 IOP Publishing Ltd.
URI: https://doi.org/10.1088/2057-1976/ab101c
https://dspace.iiti.ac.in/handle/123456789/5758
ISSN: 2057-1976
Type of Material: Journal Article
Appears in Collections:Department of Electrical Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: