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Proceedings Paper

Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes
Author(s): Paula Toro; Germán Corredor; Xiangxue Wang; Viviana Arias; Vamsidhar Velcheti; Anant Madabhushi; Eduardo Romero
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Paper Abstract

Tumor-infiltrating lymphocytes (TILs) have proved to play an important role in predicting prognosis, survival, and response to treatment in patients with a variety of solid tumors. Unfortunately, currently, there are not a standardized methodology to quantify the infiltration grade. The aim of this work is to evaluate variability among the reports of TILs given by a group of pathologists who examined a set of digitized Non-Small Cell Lung Cancer samples (n=60). 28 pathologists answered a different number of histopathological images. The agreement among pathologists was evaluated by computing the Kappa index coefficient and the standard deviation of their estimations. Furthermore, TILs reports were correlated with patient’s prognosis and survival using the Pearson’s correlation coefficient. General results show that the agreement among experts grading TILs in the dataset is low since Kappa values remain below 0.4 and the standard deviation values demonstrate that in none of the images there was a full consensus. Finally, the correlation coefficient for each pathologist also reveals a low association between the pathologists’ predictions and the prognosis/survival data. Results suggest the need of defining standardized, objective, and effective strategies to evaluate TILs, so they could be used as a biomarker in the daily routine.

Paper Details

Date Published: 17 November 2017
PDF: 8 pages
Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 1057202 (17 November 2017); doi: 10.1117/12.2286717
Show Author Affiliations
Paula Toro, Univ. Nacional de Colombia (Colombia)
Germán Corredor, Univ. Nacional de Colombia (Colombia)
Case Western Reserve Univ. (United States)
Xiangxue Wang, Case Western Reserve Univ. (United States)
Viviana Arias, Univ. Nacional de Colombia (Colombia)
Vamsidhar Velcheti, Cleveland Clinic (United States)
Anant Madabhushi, Case Western Reserve Univ. (United States)
Eduardo Romero, Univ. Nacional de Colombia (Colombia)

Published in SPIE Proceedings Vol. 10572:
13th International Conference on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Juan David García, Editor(s)

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