Histological Assessment and Interobserver Agreement in Major Pathologic Response for Non–Small Cell Lung Cancer with Neoadjuvant Therapy

While MPR assessment demonstrated robust reproducibility with minimal impact from the tumor bed, attention is warranted when evaluating smaller tumor beds in SqCC. A 10% cutoff reliably predicted survival across histologic subtypes with higher interobserver reproducibility.

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Publication Details

Journal
Cancer Research and Treatment
Published
2024-09-09
DOI
https://doi.org/10.4143/crt.2024.670
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.81

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article

Histological Assessment and Interobserver Agreement in Major Pathologic Response for Non–Small Cell Lung Cancer with Neoadjuvant Therapy

Jin‐Haeng Chung, Sungjin Kim, Jeonghyo Lee
2 citations
Cancer Research and Treatment
Radiomics and Machine Learning in Medical Imaging
0.81
article

Histological Assessment and Interobserver Agreement in Major Pathologic Response for Non–Small Cell Lung Cancer with Neoadjuvant Therapy

Jin‐Haeng Chung, Sungjin Kim, Jeonghyo Lee
article en
2 citations

Abstract

While MPR assessment demonstrated robust reproducibility with minimal impact from the tumor bed, attention is warranted when evaluating smaller tumor beds in SqCC. A 10% cutoff reliably predicted survival across histologic subtypes with higher interobserver reproducibility.

Cancer Research and TreatmentVol. 57(2)
Seoul National University (KR), Seoul National University Bundang Hospital (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Good health and well-being
Openalex Percentile: Top 26%
Radiomics and Machine Learning in Medical Imaging
0.81
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