The development and external validation of an overall survival nomogram in medically inoperable centrally located early-stage non-small cell lung carcinoma.


Journal

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192

Informations de publication

Date de publication:
03 2021
Historique:
received: 08 05 2020
revised: 18 12 2020
accepted: 23 12 2020
pubmed: 9 1 2021
medline: 24 4 2021
entrez: 8 1 2021
Statut: ppublish

Résumé

Current nomograms predicting survival prognosis after stereotactic body radiation therapy (SBRT) in non-small cell lung cancer (NSCLC) are based on peripherally located tumors. However, patients with a central lung tumor tend to be older, the tumor is often larger and fraction-schedules are risk-adapted. Therefore, we developed and externally validated a nomogram to predict overall survival (OS) in patients having centrally located early-stage NSCLC treated with SBRT. Patients who underwent SBRT for centrally located NSCLC were identified and baseline characteristics were obtained. A nomogram was built to predict 6-month, 1-, 2- and 3-year OS using Cox proportional hazards model. The model building procedure was validated using bootstrap sampling. To determine generalizability, external validation was performed on a cohort of patients with central NSCLC treated with SBRT from another center. Discriminatory ability was measured with the concordance index (C-index) and calibration plots were used to compare Kaplan-Meier-estimated and nomogram-predicted OS. The nomogram was built on data of 220 patients and consisted of the following variables: PTV, age, WHO performance status, tumor lobe location and ultracentral location. The C-index of the nomogram (corrected for optimism) was moderate at 0.64 (95% confidence interval (CI) 0.59-0.69). Calibration plots showed favorable predictive accuracy. The external validation showed acceptable validity with a C-index of 0.62 (95% CI 0.61-0.64). We developed and externally validated the first nomogram to estimate the OS-probability in patients with centrally located NSCLC treated with SBRT. This nomogram is based on 5 patient and tumor characteristics and gives an individualized survival prediction.

Sections du résumé

BACKGROUND AND PURPOSE
Current nomograms predicting survival prognosis after stereotactic body radiation therapy (SBRT) in non-small cell lung cancer (NSCLC) are based on peripherally located tumors. However, patients with a central lung tumor tend to be older, the tumor is often larger and fraction-schedules are risk-adapted. Therefore, we developed and externally validated a nomogram to predict overall survival (OS) in patients having centrally located early-stage NSCLC treated with SBRT.
MATERIALS AND METHODS
Patients who underwent SBRT for centrally located NSCLC were identified and baseline characteristics were obtained. A nomogram was built to predict 6-month, 1-, 2- and 3-year OS using Cox proportional hazards model. The model building procedure was validated using bootstrap sampling. To determine generalizability, external validation was performed on a cohort of patients with central NSCLC treated with SBRT from another center. Discriminatory ability was measured with the concordance index (C-index) and calibration plots were used to compare Kaplan-Meier-estimated and nomogram-predicted OS.
RESULTS
The nomogram was built on data of 220 patients and consisted of the following variables: PTV, age, WHO performance status, tumor lobe location and ultracentral location. The C-index of the nomogram (corrected for optimism) was moderate at 0.64 (95% confidence interval (CI) 0.59-0.69). Calibration plots showed favorable predictive accuracy. The external validation showed acceptable validity with a C-index of 0.62 (95% CI 0.61-0.64).
DISCUSSION
We developed and externally validated the first nomogram to estimate the OS-probability in patients with centrally located NSCLC treated with SBRT. This nomogram is based on 5 patient and tumor characteristics and gives an individualized survival prediction.

Identifiants

pubmed: 33418006
pii: S0167-8140(20)31265-2
doi: 10.1016/j.radonc.2020.12.038
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

223-230

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

M Duijm (M)

Department of Radiation Oncology, Erasmus MC Cancer Institute, the Netherlands. Electronic address: m.duijm@erasmusmc.nl.

E Oomen-de Hoop (E)

Department of Radiation Oncology, Erasmus MC Cancer Institute, the Netherlands.

N van Voort van der Zyp (N)

Department of Radiation Oncology, Haaglanden MC, the Netherlands.

P van de Vaart (P)

Department of Radiation Oncology, Haaglanden MC, the Netherlands.

H Tekatli (H)

Cancer Center Amsterdam, Department of Radiation Oncology, Amsterdam University Medical Centers-VUmc Location, the Netherlands.

M Hoogeman (M)

Department of Radiation Oncology, Erasmus MC Cancer Institute, the Netherlands.

S Senan (S)

Cancer Center Amsterdam, Department of Radiation Oncology, Amsterdam University Medical Centers-VUmc Location, the Netherlands.

J Nuyttens (J)

Department of Radiation Oncology, Erasmus MC Cancer Institute, the Netherlands.

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