Background: Small cell lung cancer (SCLC) makes up 13% of lung malignancies. Only one-third of SCLC patients received their diagnosis at the limited stage. Treatment for symptomatic extensive-stage (ES) SCLC with persistent intrathoracic disease is still controversial. The present research aimed to analyze the impact of palliative thoracic radiotherapy (TRT) as a treatment for this patient group and build a prognostic nomogram. Methods: In this retrospective, multi-center study, we analyzed 120 patients with ES-SCLC and a World Health Organization performance status of 1–2 who were diagnosed between March 2014 and September 2019. A nomogram was formulated to predict the patients’ 1- and 2-year overall survival (OS). Results: The study cohor...
Background The role of thoracic radiation therapy (TRT) after chemotherapy (CHT) in extensive‐stage ...
Background: Radiotherapy is an important treatment modality for lung cancer patients of all stages: ...
Importance: Nomogram prognostic models can facilitate cancer patient treatment plans and patient enr...
Background: Small cell lung cancer (SCLC) makes up 13% of lung malignancies. Only one-third of SCLC ...
This study constructed and validated a prognostic model to evaluate the survival of small-cell lung ...
Background:We sought to build prognostic nomograms and identify novel prognostic factors in small-ce...
Introduction Combined small cell lung cancer (C-SCLC) represents a rare subtype of all small cell lu...
Background:We sought to build prognostic nomograms and identify novel prognostic factors in small-ce...
Background: Prognostication tools for early-stage non-small cell lung cancer (NSCLC) patients treate...
BackgroundNon-small-cell lung cancer (NSCLC) patients with ipsilateral pleural dissemination are def...
We sought to develop and validate a clinical nomogram model for predicting overall survival (OS) in ...
BACKGROUND: Radical local treatment of pulmonary metastases is practiced with increasing frequency d...
BACKGROUND: Radical local treatment of pulmonary metastases is practiced with increasing frequency d...
Background: A considerable portion of pathological stage (p-stage) IA non-small cell lung cancer (NS...
BACKGROUND Radical local treatment of pulmonary metastases is practiced with increasing frequency...
Background The role of thoracic radiation therapy (TRT) after chemotherapy (CHT) in extensive‐stage ...
Background: Radiotherapy is an important treatment modality for lung cancer patients of all stages: ...
Importance: Nomogram prognostic models can facilitate cancer patient treatment plans and patient enr...
Background: Small cell lung cancer (SCLC) makes up 13% of lung malignancies. Only one-third of SCLC ...
This study constructed and validated a prognostic model to evaluate the survival of small-cell lung ...
Background:We sought to build prognostic nomograms and identify novel prognostic factors in small-ce...
Introduction Combined small cell lung cancer (C-SCLC) represents a rare subtype of all small cell lu...
Background:We sought to build prognostic nomograms and identify novel prognostic factors in small-ce...
Background: Prognostication tools for early-stage non-small cell lung cancer (NSCLC) patients treate...
BackgroundNon-small-cell lung cancer (NSCLC) patients with ipsilateral pleural dissemination are def...
We sought to develop and validate a clinical nomogram model for predicting overall survival (OS) in ...
BACKGROUND: Radical local treatment of pulmonary metastases is practiced with increasing frequency d...
BACKGROUND: Radical local treatment of pulmonary metastases is practiced with increasing frequency d...
Background: A considerable portion of pathological stage (p-stage) IA non-small cell lung cancer (NS...
BACKGROUND Radical local treatment of pulmonary metastases is practiced with increasing frequency...
Background The role of thoracic radiation therapy (TRT) after chemotherapy (CHT) in extensive‐stage ...
Background: Radiotherapy is an important treatment modality for lung cancer patients of all stages: ...
Importance: Nomogram prognostic models can facilitate cancer patient treatment plans and patient enr...