Journal of Pathology Informatics

BRIEF REPORT
Year
: 2021  |  Volume : 12  |  Issue : 1  |  Page : 28-

Digital image analysis for estimating stromal CD8+ tumor-infiltrating lymphocytes in lung adenocarcinoma


Iny Jhun1, Daniel Shepherd2, Yin P Hung2, Emilio Madrigal2, Long P Le2, Mari Mino-Kenudson2 
1 Department of Pathology, Stanford Health Care, Palo Alto, CA, USA
2 Department of Pathology, Massachusetts General Hospital, Boston, MA, USA

Correspondence Address:
Dr. Mari Mino-Kenudson
55 Fruit Street, Warren 122, Boston, MA 012114
USA

Background: Stromal CD8+ tumor-infiltrating lymphocytes (TILs) are an important prognostic and predictive indicator in non-small cell lung cancer (NSCLC). In this study, we aimed to develop and test the feasibility of a digital image analysis (DIA) workflow for estimating stromal CD8+ TIL density. Methods: A DIA workflow developed in a software platform (QuPath) was applied to a specified region of interest (ROI) within the stromal compartment of dual PD-L1/CD8 immunostained slides from 50 lung adenocarcinoma patients. A random tree classifier was trained from 25 training cases and applied to 25 test cases. The DIA-estimated CD8+ TIL densities were compared to manual estimates of three pathologists, who independently quantitated the percentage of CD8+ TILs from predefined ROIs in QuPath. Results: The average estimated total stromal cell count per case was 520 (range: 282–816) by QuPath and 551 (range: 265–744) by pathologists. The DIA-estimated CD8+ TIL density (mean = 16.9%) was comparable to pathologists' manual estimates (mean = 15.9%). A paired t-test showed no statistically significant difference between DIA and pathologist estimates of CD8+ TIL density among both training (n = 25, P = 0.55) and test (n = 25, P = 0.34) cases. There was an almost perfect agreement between QuPath and each pathologist's estimates of CD8+ TIL density (κ = 0.85–0.86). Conclusions: These findings demonstrate the feasibility of applying a DIA workflow for estimating stromal CD8+ TIL density in NSCLC. DIA has the potential to provide an efficient and standardized approach for estimating stromal CD8+ TIL density.


How to cite this article:
Jhun I, Shepherd D, Hung YP, Madrigal E, Le LP, Mino-Kenudson M. Digital image analysis for estimating stromal CD8+ tumor-infiltrating lymphocytes in lung adenocarcinoma.J Pathol Inform 2021;12:28-28


How to cite this URL:
Jhun I, Shepherd D, Hung YP, Madrigal E, Le LP, Mino-Kenudson M. Digital image analysis for estimating stromal CD8+ tumor-infiltrating lymphocytes in lung adenocarcinoma. J Pathol Inform [serial online] 2021 [cited 2021 Aug 5 ];12:28-28
Available from: https://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2021;volume=12;issue=1;spage=28;epage=28;aulast=Jhun;type=0