Development and validation of a nomogram for predicting histologic subtypes of subpleural non-small cell lung cancer using ultrasound parameters and clinical data
We developed a nomogram that can predict the histologic subtypes of subpleural NSCLC. Both internal and external validation revealed optimal discrimination and calibration, indicating that the nomogram may have clinical utility. This model has the potential to assist clinicians in making treatment recommendations.
Authors
- Shengmin Zhang (ORCID: https://orcid.org/0000-0002-3015-1315)
- Yi Zhang (ORCID: https://orcid.org/0000-0002-2633-5605)
- Hui-ming Zhu
- Hongwei Chen (ORCID: https://orcid.org/0000-0001-8440-1167)
- Feng Mao (ORCID: https://orcid.org/0000-0003-2918-5582)
- Mengjun Shen (ORCID: https://orcid.org/0000-0001-9407-6919)
- Yang Cong (ORCID: https://orcid.org/0000-0003-4340-3216)
- Yin Wang (ORCID: https://orcid.org/0000-0002-6412-4227)
- Chunhong Tang
Institutions
- Ningbo University (CN)
- Tongji University (CN)
- Shanghai Pulmonary Hospital (CN)
- Ningbo First Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-11-08
- DOI
- https://doi.org/10.3389/fonc.2024.1477450
- Citations
- 1
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- Shanghai Municipal Health Commission
- National Natural Science Foundation of China