Predictors of nodal upstaging in clinical N1 nonsmall cell lung cancer
The diagnostic accuracy of cN1 in this study was ~40%. No history of smoking and adenocarcinoma were significant predictors for nodal upstaging. Although younger age was a significant predictor for nodal upstaging, it was a significant factor for better prognosis.
Authors
- Masayuki Chida (ORCID: https://orcid.org/0000-0001-8502-1502)
- Shinichi Toyooka (ORCID: https://orcid.org/0000-0002-7588-6745)
- Shun‐ichi Watanabe (ORCID: https://orcid.org/0000-0003-4456-3932)
- Hidenao Kayawake (ORCID: https://orcid.org/0000-0003-2357-7024)
- Hiroyuki Ito (ORCID: https://orcid.org/0000-0003-0983-6093)
- Takashi Ohtsuka (ORCID: https://orcid.org/0000-0002-8039-9159)
- Jiro Okami (ORCID: https://orcid.org/0000-0002-7633-9700)
- Hisao Asamura
- Yasushi Shintani (ORCID: https://orcid.org/0000-0002-2540-5288)
- Hiroshi Date (ORCID: https://orcid.org/0000-0001-7262-6000)
- Etsuo Miyaoka (ORCID: https://orcid.org/0000-0002-6443-0785)
- Ryoichi Nakanishi (ORCID: https://orcid.org/0000-0003-2259-5941)
- Shunsuke Endo
- Takeshi Mori (ORCID: https://orcid.org/0000-0002-8552-8941)
- Ichiro Yoshino (ORCID: https://orcid.org/0009-0003-4007-9606)
- Mitsutaka Kadokura
Institutions
- Jikei University School of Medicine (JP)
- SHOWA Medical University (JP)
- Jichi Medical University (JP)
- Chiba University (JP)
- Tokyo University of Science (JP)
- Keio University (JP)
- Kyoto University (JP)
- Kanagawa Prefectural Hospital Organization (JP)
- Nagoya City University (JP)
- National Cancer Center (US)
- Okayama University Hospital (JP)
- Keio University Hospital (JP)
- Japanese Red Cross Kumamoto Hospital (JP)
- Osaka International Cancer Institute (JP)
- Mizuho (Japan) (JP)
- Kobe City Medical Center General Hospital (JP)
- Kanagawa Cancer Center
- Dokkyo Medical University (JP)
- The University of Osaka (JP)
Publication Details
- Journal
- Japanese Journal of Clinical Oncology
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1093/jjco/hyae161
- Citations
- 1
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.42