IASLC grading system predicts distant metastases for resected lung adenocarcinoma
Our study indicates that the IASLC grading system is capable of predicting the incidence of distant metastasis among patients with early-stage invasive LUAD.
Authors
- Omer A. Hassan (ORCID: https://orcid.org/0000-0001-8746-4833)
- Caroline B. Dixon
- Kathryn F. Mileham (ORCID: https://orcid.org/0000-0003-1334-7743)
- Ralph B. D’Agostino (ORCID: https://orcid.org/0000-0002-3550-8395)
- Fei Xing (ORCID: https://orcid.org/0000-0001-6350-0764)
- Jing Su (ORCID: https://orcid.org/0000-0003-4917-6173)
- Muhammad Khalid Khan Niazi (ORCID: https://orcid.org/0000-0002-1278-7512)
- Mary E. Green
- Wencheng Li (ORCID: https://orcid.org/0000-0002-4176-8249)
- Thomas Lycan (ORCID: https://orcid.org/0000-0001-9475-1558)
- Jimmy Ruiz (ORCID: https://orcid.org/0000-0002-7242-3315)
- Michael D. Chan (ORCID: https://orcid.org/0000-0002-5278-6709)
- Margaret Smith (ORCID: https://orcid.org/0000-0002-3523-7150)
- Yuming Jiang (ORCID: https://orcid.org/0000-0001-6184-3931)
- Yin Liu (ORCID: https://orcid.org/0000-0002-9737-2892)
- Yuezhu Wang (ORCID: https://orcid.org/0009-0004-9175-2589)
Institutions
- Levine Cancer Institute (US)
- Indiana University School of Medicine
- Wake Forest University (US)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Journal of Clinical Pathology
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1136/jcp-2024-209649
- Citations
- 3
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.26