Open AccessPredicting occult lymph node metastasis by nomogram in patients with lung adenocarcinoma ≤2 cm
Author(s) -
Zhile Wang,
Yijun Wu,
Li Wang,
Liang Gong,
Chang Han,
Ning Liang,
Shanqing Li
Publication year - 2021
Publication title -
future oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.857
H-Index - 72
eISSN - 1744-8301
pISSN - 1479-6694
DOI - 10.2217/fon-2020-0905
Subject(s) - medicine , nomogram , adenocarcinoma , lymph node , occult , radiology , dissection (medical) , lung cancer , metastasis , incidence (geometry) , mediastinal lymph node , oncology , surgery , cancer , pathology , physics , alternative medicine , optics
Background: Previous researches had not proposed any prediction models for occult lymph node metastasis (OLNM). Considering the occurrence of OLNM and the importance of OLNM management, we aimed to develop a nomogram to predict OLNM of patients with lung adenocarcinoma ≤2 cm. Methods: Characteristics of patients with lung adenocarcinoma of ≤2 cm diameter at the Peking Union Medical College Hospital were retrospectively reviewed. Univariate and multivariate logistic regressions were performed. A nomogram model was developed. The concordance index (C-index) and calibration and decision curves were used to evaluate the predictive ability. Results: A total of 473 patients were enrolled, with an OLNM incidence of 7.4%. Four factors were selected as risk factors. The model had a C-index of 0.932. Calibration and decision curves were determined. Conclusion: Patients with pure ground-glass opacity (pGGO) or noninvasive adenocarcinoma have significantly lower risk of OLNM. SUV max , CEA, micropapillary and solid component were identified as independent risk factors. The nomogram model was effective in predicting OLNM preoperatively.