Comment on: Frozen sections accurately predict the IASLC proposed grading system and prognosis in patients with invasive lung adenocarcinomas-Reference-Cited by-同舟云学术

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Comment on: Frozen sections accurately predict the IASLC proposed grading system and prognosis in patients with invasive lung adenocarcinomas

Published:2024-04 Issue: Volume:190 Page:107534
ISSN:0169-5002
Container-title:Lung Cancer
language:en
Short-container-title:Lung Cancer

Author:

Yu Tianfei^ORCID,Zhou Xue,Li Ming

Publisher

Elsevier BV

Reference8 articles.

1. Frozen sections accurately predict the IASLC proposed grading system and prognosis in patients with invasive lung adenocarcinomas;Fan;Lung Cancer,2023

2. A coefficient of agreement for nominal scales;Cohen;Educ. Psychol. Meas.,1960

3. A whole-slide image (WSI)-based immunohistochemical feature prediction system improves the subtyping of lung cancer;Chen;Lung Cancer,2022

4. An online clinical decision tool to screen for vertebral fragility fractures (Vfrac) in older women presenting with back pain in general practice: protocol for a feasibility study in preparation for a future cluster randomised controlled trial;Khalid;Arch. Osteoporos.,2024

5. Intra- and inter-reader agreement of iRECIST and RECIST 1.1 criteria for the assessment of tumor response in patients receiving checkpoint inhibitor immunotherapy for lung cancer;Huicochea Castellanos;Lung Cancer,2021

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