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Diagnosis of the Novel IASLC Grading System Using Intraoperative Frozen Section (ECTOP-1014): a Prospective, Multi-center Clinical Trial.

期刊: The Annals of thoracic surgery 日期: 2026-05-12 PMID: 42119754 浏览: 36
作者: Fu, Jin, Deng, Cao, Fu, Shen, Zheng, Yang, Qian, Yuan, Wang, Zhang, Song, Zuo, Ma, You, Zheng, Gao, Su, Zhang, Chen, Li
Fu, Jin, Deng, Cao, Fu, Shen, Zheng, Yang, Qian, Yuan, Wang, Zhang, Song, Zuo, Ma, You, Zheng, Gao, Su, . . . Li (2026). Diagnosis of the Novel IASLC Grading System Using Intraoperative Frozen Section (ECTOP-1014): a Prospective, Multi-center Clinical Trial.. The Annals of thoracic surgery.
Fu, Jin, Deng, Cao, Fu, Shen, et al. Diagnosis of the Novel IASLC Grading System Using Intraoperative Frozen Section (ECTOP-1014): a Prospective, Multi-center Clinical Trial.. The Annals of thoracic surgery. 2026; PMID: 42119754
Fu, Jin, Deng, et al. Diagnosis of the Novel IASLC Grading System Using Intraoperative Frozen Section (ECTOP-1014): a Prospective, Multi-center Clinical Trial.[J]. The Annals of thoracic surgery. 2026.
@article{fu2026,
  author = {Fu and Jin and Deng and Cao and Fu and Shen and Zheng and Yang and Qian and Yuan and Wang and Zhang and Song and Zuo and Ma and You and Zheng and Gao and Su and Zhang and Chen and Li},
  title = {Diagnosis of the Novel IASLC Grading System Using Intraoperative Frozen Section (ECTOP-1014): a Prospective, Multi-center Clinical Trial.},
  journal = {The Annals of thoracic surgery},
  year = {2026},
  note = {PMID: 42119754},
}
TY  - JOUR
AU  - Fu
AU  - Jin
AU  - Deng
AU  - Cao
AU  - Fu
AU  - Shen
AU  - Zheng
AU  - Yang
AU  - Qian
AU  - Yuan
AU  - Wang
AU  - Zhang
AU  - Song
AU  - Zuo
AU  - Ma
AU  - You
AU  - Zheng
AU  - Gao
AU  - Su
AU  - Zhang
AU  - Chen
AU  - Li
TI  - Diagnosis of the Novel IASLC Grading System Using Intraoperative Frozen Section (ECTOP-1014): a Prospective, Multi-center Clinical Trial.
T2  - The Annals of thoracic surgery
PY  - 2026
AN  - PMID:42119754
ER  - 

摘要

The International Association for the Study of Lung Cancer (IASLC) proposed a novel grading system for invasive non-mucinous adenocarcinoma. This study aimed to evaluate the accuracy of intraoperative frozen section in diagnosing IASLC grades in early-stage lung adenocarcinoma and to identify factors associated with potential misdiagnosis.

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