ArticleFrontiers in oncology2021
Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
- Leveraging the non-contrast CT component of PET/CT: an AI-driven delta-radiomics approach to monitor treatment response in metastatic breast cancer.BMC medical imaging · 2026Article
- Baseline ¹BMC cancer · 2026Article
- Computationally integrating radiology and pathology image features for predicting treatment benefit and outcome in lung cancer.NPJ precision oncology · 2025Article
- Mining of Targeted Therapeutic Drugs for Hepatocellular Carcinoma based on Programmed Cell Death-related Features and Construction of an Imaging Histology Diagnostic Model.Current topics in medicinal chemistry · 2025Article
- Predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients: a multicenter cohort study.BMC cancer · 2024Article
- Machine learning-based radiomics prognostic model for patients with proximal esophageal cancer after definitive chemoradiotherapy.Insights into imaging · 2024Article
- Risk stratification and overall survival prediction in extensive stage small cell lung cancer after chemotherapy with immunotherapy based on CT radiomics.Scientific reports · 2024Article
- Using MRI radiomics to predict the efficacy of immunotherapy for brain metastasis in patients with small cell lung cancer.Thoracic cancer · 2024Article
- A CT-based radiomics nomogram for predicting the progression-free survival in small cell lung cancer: a multicenter cohort study.La Radiologia medica · 2023Article
- Dynamic radiomics for predicting the efficacy of antiangiogenic therapy in colorectal liver metastases.Frontiers in oncology · 2023Article
- Precise prediction of the sensitivity of platinum chemotherapy in SCLC: Establishing and verifying the feasibility of a CT-based radiomics nomogram.Frontiers in oncology · 2023Article
- A tumor vasculature-based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors.Science advances · 2022Article
- Response to: Correspondence on 'Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab' by ZhengJournal for immunotherapy of cancer · 2022Article
- Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab.Journal for immunotherapy of cancer · 2022Article
- Progression-Free Survival Prediction in Small Cell Lung Cancer Based on Radiomics Analysis of Contrast-Enhanced CT.Frontiers in medicine · 2022Article
- Accurate Prediction of Metachronous Liver Metastasis in Stage I-III Colorectal Cancer Patients Using Deep Learning With Digital Pathological Images.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundSmall cell lung cancer (SCLC) is an aggressive malignancy characterized by initial chemosensitivity followed by resistance and rapid progression. Presently, there are no predictive biomarkers that can accurately guide the use of systemic therapy in SCLC patients. This study explores the role of radiomic features from both within and around the tumor lesion on pretreatment CT scans to a) prognosticate overall survival (OS) and b) predict response to chemotherapy.
methodsOne hundred fifty-three SCLC patients who had received chemotherapy were included. Lung tumors were contoured by an expert reader. The patients were divided randomly into approximately equally sized training (S
resultsA univariable Cox regression analysis indicated that RRS was significantly associated with OS in S
conclusionsRadiomic features extracted within and around the lung tumor on CT images were both prognostic of OS and predictive of response to chemotherapy in SCLC patients.
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