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Month wise articles
Figures next to the month indicate the number of articles in that month
2022
March
[
1
]
January
[
10
]
2021
December
[
7
]
November
[
9
]
September
[
8
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August
[
2
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July
[
1
]
June
[
4
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May
[
3
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April
[
4
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March
[
7
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February
[
3
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January
[
6
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2020
December
[
2
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November
[
5
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October
[
3
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September
[
2
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August
[
8
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July
[
4
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June
[
2
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May
[
1
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April
[
3
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March
[
3
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February
[
6
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January
[
1
]
2019
December
[
6
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November
[
4
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September
[
4
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August
[
3
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July
[
6
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June
[
1
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May
[
2
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April
[
6
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March
[
3
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February
[
4
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January
[
2
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2018
December
[
10
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November
[
4
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October
[
3
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September
[
4
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August
[
1
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July
[
3
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June
[
5
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May
[
4
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April
[
10
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March
[
2
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February
[
4
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2017
December
[
5
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November
[
4
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October
[
3
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September
[
9
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July
[
5
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June
[
2
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May
[
4
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April
[
6
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March
[
6
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February
[
7
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2016
December
[
7
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November
[
5
]
October
[
3
]
September
[
7
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August
[
1
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July
[
7
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May
[
8
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April
[
7
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March
[
4
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February
[
2
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January
[
5
]
2015
November
[
4
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October
[
5
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September
[
5
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August
[
4
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July
[
3
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June
[
19
]
May
[
5
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April
[
1
]
March
[
5
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February
[
9
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January
[
3
]
2014
November
[
2
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October
[
5
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September
[
4
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August
[
6
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July
[
8
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June
[
1
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May
[
3
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March
[
8
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February
[
3
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January
[
4
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2013
December
[
5
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November
[
2
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October
[
4
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September
[
4
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August
[
3
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July
[
3
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June
[
5
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May
[
7
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March
[
18
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February
[
1
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January
[
1
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2012
December
[
6
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November
[
1
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October
[
4
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September
[
4
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August
[
7
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July
[
2
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June
[
1
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May
[
2
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April
[
7
]
March
[
6
]
February
[
7
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January
[
13
]
2011
December
[
3
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November
[
1
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October
[
7
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August
[
9
]
July
[
3
]
June
[
7
]
May
[
3
]
March
[
6
]
February
[
8
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January
[
6
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2010
December
[
4
]
November
[
1
]
October
[
6
]
September
[
1
]
August
[
6
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July
[
6
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May
[
5
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Brief Report:
Digital image analysis for estimating stromal CD8+ tumor-infiltrating lymphocytes in lung adenocarcinoma
Iny Jhun, Daniel Shepherd, Yin P Hung, Emilio Madrigal, Long P Le, Mari Mino-Kenudson
J Pathol Inform
2021, 12:28 (5 July 2021)
DOI
:10.4103/jpi.jpi_36_20
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.
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