A multicenter prediction model for false-positive clinical nodal disease in < 4-cm NSCLC: clinical implications for upfront surgery versus neoadjuvant therapy

BACKGROUND: Perioperative immunochemotherapy is recommended for resectable non-small cell lung cancer (NSCLC) with ≥ 4-cm tumors or clinical nodal involvement (cN(+)). Therefore, accurate preoperative nodal assessment is crucial in < 4-cm tumors, where false-positive cN staging should be carefully considered. This multicenter study aimed to develop and validate a prediction model to identify patients at high risk of cN(+)pN(-) disease. METHODS: The development cohort included 251 patients with tumors < 4 cm who were diagnosed as cN(+) using positron emission tomography and underwent curative anatomical resection with mediastinal lymph node dissection between 2010 and 2020. The model predicting cN(+)pN(-) was developed and subsequently validated in a temporally independent validation cohort of 108 patients treated during periods different from those of the development cohort. RESULTS: In the development cohort, 72 patients (28.7%) were cN(+)pN(-). In multivariable analysis, age ≥ 67 years (odds ratio [OR] 2.85, p = 0.004), right-sided tumor (OR 2.50, p = 0.006), carcinoembryonic antigen ≤ 12 ng/mL (OR 3.11, p = 0.048), cN1 (OR 2.37, p = 0.025), and tumor maximum standardized uptake value ≤ 6.5 (OR 2.03, p = 0.023) were independent predictors for cN(+)pN(-). The prediction model showed a C-index of 0.74 (95% confidence interval [CI] 0.67-0.81), specificity of 94.4%, and positive predictive value (PPV) of 66.7% in the development cohort. In the validation cohort, the C-index was 0.77 (95% CI 0.67-0.86) with good calibration (slope, 1.002; intercept, 0.001), specificity (96.3%), and PPV (70.0%). CONCLUSIONS: In patients with < 4-cm cN(+) NSCLC, a simple model based on five readily available preoperative factors can identify individuals at high risk of false-positive nodal staging with high specificity. This model may help identify patients in whom upfront surgery for definitive pathological nodal evaluation may be preferable rather than immediate neoadjuvant therapy.

Authors

Institutions

Publication Details

Journal
BMC Cancer
Published
2026-07-17
DOI
https://doi.org/10.1186/s12885-026-16580-4
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A multicenter prediction model for false-positive clinical nodal disease in < 4-cm NSCLC: clinical implications for upfront surgery versus neoadjuvant therapy

Tetsuya Isaka, Hiroyuki Ito, Yujin Kudo, Yoshihiro Miyata et al.
BMC Cancer
Lung Cancer Diagnosis and Treatment
article

A multicenter prediction model for false-positive clinical nodal disease in < 4-cm NSCLC: clinical implications for upfront surgery versus neoadjuvant therapy

Tetsuya Isaka, Hiroyuki Ito, Yujin Kudo, Yoshihiro Miyata, Norihiko Ikeda, Ikki Takada, Ryotaro Matsuyama, Chiaki Kanno, Yui Kaburaki, Takuya Nagashima, Morihito Okada
article en

Abstract

BACKGROUND: Perioperative immunochemotherapy is recommended for resectable non-small cell lung cancer (NSCLC) with ≥ 4-cm tumors or clinical nodal involvement (cN(+)). Therefore, accurate preoperative nodal assessment is crucial in < 4-cm tumors, where false-positive cN staging should be carefully considered. This multicenter study aimed to develop and validate a prediction model to identify patients at high risk of cN(+)pN(-) disease. METHODS: The development cohort included 251 patients with tumors < 4 cm who were diagnosed as cN(+) using positron emission tomography and underwent curative anatomical resection with mediastinal lymph node dissection between 2010 and 2020. The model predicting cN(+)pN(-) was developed and subsequently validated in a temporally independent validation cohort of 108 patients treated during periods different from those of the development cohort. RESULTS: In the development cohort, 72 patients (28.7%) were cN(+)pN(-). In multivariable analysis, age ≥ 67 years (odds ratio [OR] 2.85, p = 0.004), right-sided tumor (OR 2.50, p = 0.006), carcinoembryonic antigen ≤ 12 ng/mL (OR 3.11, p = 0.048), cN1 (OR 2.37, p = 0.025), and tumor maximum standardized uptake value ≤ 6.5 (OR 2.03, p = 0.023) were independent predictors for cN(+)pN(-). The prediction model showed a C-index of 0.74 (95% confidence interval [CI] 0.67-0.81), specificity of 94.4%, and positive predictive value (PPV) of 66.7% in the development cohort. In the validation cohort, the C-index was 0.77 (95% CI 0.67-0.86) with good calibration (slope, 1.002; intercept, 0.001), specificity (96.3%), and PPV (70.0%). CONCLUSIONS: In patients with < 4-cm cN(+) NSCLC, a simple model based on five readily available preoperative factors can identify individuals at high risk of false-positive nodal staging with high specificity. This model may help identify patients in whom upfront surgery for definitive pathological nodal evaluation may be preferable rather than immediate neoadjuvant therapy.

BMC Cancer
Hiroshima University (JP), Tokyo Medical University (JP), Kanagawa Prefectural Hospital Organization (JP), Kanagawa Cancer Center
Good health and well-being
Openalex Percentile: Top 8%
Lung Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.