Sandra Sommerey1, Roland Ladurner1, Norah Al Arabi1, Uwe Mortensen2, Klaus Hallfeldt1, Julia Gallwas3. 1. Department of Surgery, Ludwig Maximilians University Munich, Innenstadt Medical Campus, Nussbaumstrasse 20, Munich, 80336, Germany. 2. Department of Psychology, Westfälische Wilhelms-University, Muenster, Germany. 3. Department of Obstetrics and Gynecology, Ludwig Maximilians University Munich, Grosshadern Medical Campus, Marchioninistr. 15, Munich, 81377, Germany.
Abstract
BACKGROUND AND OBJECTIVE: Previous studies have shown that the use of optical coherence tomography (OCT) permits the differentiation between parathyroid tissue, thyroid tissue, lymph nodes and adipose tissue. We investigated the backscattering intensity profiles of OCT images in order to determine whether significant differences between these tissue types exist. METHODS: Mean backscattering intensity profiles were obtained from OCT images of parathyroid glands, thyroid tissue, lymph nodes and adipose tissue. The profiles were analyzed employing Fisher's Linear Discriminant Analysis (LDA). The results were cross validated employing improved parameter estimation techniques. RESULTS: Mean backscattering intensity profiles from 300 OCT images of 34 patients undergoing thyroid or parathyroid surgery were analyzed. The overall rate of correct classifications was 96.15%. The cross validation employing improved parameter estimation techniques yielded results identical to those derived from Fisher's LDA. CONCLUSION: Besides the individual assessment of OCT images by interpreting morphological criteria, backscattering intensity measurements can reliably distinguish between different tissue entities.
BACKGROUND AND OBJECTIVE: Previous studies have shown that the use of optical coherence tomography (OCT) permits the differentiation between parathyroid tissue, thyroid tissue, lymph nodes and adipose tissue. We investigated the backscattering intensity profiles of OCT images in order to determine whether significant differences between these tissue types exist. METHODS: Mean backscattering intensity profiles were obtained from OCT images of parathyroid glands, thyroid tissue, lymph nodes and adipose tissue. The profiles were analyzed employing Fisher's Linear Discriminant Analysis (LDA). The results were cross validated employing improved parameter estimation techniques. RESULTS: Mean backscattering intensity profiles from 300 OCT images of 34 patients undergoing thyroid or parathyroid surgery were analyzed. The overall rate of correct classifications was 96.15%. The cross validation employing improved parameter estimation techniques yielded results identical to those derived from Fisher's LDA. CONCLUSION: Besides the individual assessment of OCT images by interpreting morphological criteria, backscattering intensity measurements can reliably distinguish between different tissue entities.
Authors: Max Lerchenberger; Norah Al Arabi; Julia K S Gallwas; Herbert Stepp; Klaus K J Hallfeldt; Roland Ladurner Journal: Int J Endocrinol Date: 2019-09-25 Impact factor: 3.257