ReviewRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2017
Tumor control probability modeling for stereotactic body radiation therapy of early-stage lung cancer using multiple bio-physical models.
Review in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
30 citing papers in PubMed, 65 citations in OpenAlex.
- Stereotactic Radiation Therapy for Lung Cancer Brain Metastases: Dose Optimization and Prognostic Prediction via Biologically Effective Dose-Based Empirical Dose-Response Modeling and Extreme Gradient Boosting-SHapley Additive Explanations Machine Learning.Advances in radiation oncology · 2026Article
- Clinical-radiomic model development for local recurrence prediction in stereotactic body radiation therapy-treated lung cancer: comparative analysis with radiobiological models.Scientific reports · 2026Article
- Translational tumor control probability modeling for NSCLC: A two-dimensional maximum-likelihood framework.Medical physics · 2026Article
- Machine learning-based prognostic model for local control prediction in lung cancer patients undergoing stereotactic body radiation therapy: a preliminary study.European journal of medical research · 2026Article
- Development and validation of a nomogram for local control prediction in lung cancer patients treated with stereotactic body radiation therapy based on clinical, dosimetric, and inflammation-related parameters.BMC pulmonary medicine · 2025Article
- Effects of target coverage on local recurrence in stereotactic body radiotherapy for early-stage lung squamous cell carcinoma.Japanese journal of radiology · 2025Article
- Histology-driven hypofractionated radiation therapy schemes for early-stage lung adenocarcinoma and squamous cell carcinoma.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2024Article
- Review
- Generality Assessment of a Model Considering Heterogeneous Cancer Cells for Predicting Tumor Control Probability for Stereotactic Body Radiation Therapy Against Non-Small Cell Lung Cancer.Advances in radiation oncology · 2024Article
- The role of online MR-guided multi-fraction stereotactic ablative radiotherapy in lung tumours.Clinical and translational radiation oncology · 2024Article
- External validation of radiobiological models for local control prediction in lung cancer patients treated with stereotactic body radiation therapy.Frontiers in oncology · 2024Article
- [Prognosis Analysis of Early-stage Non-small Cell Lung Cancer Patients Treated with Stereotactic Body Radiotherapy].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Article
- Review
- Article
- Evaluation of plan robustness on the dosimetry of volumetric arc radiotherapy (VMAT) with set-up uncertainty in Nasopharyngeal carcinoma (NPC) radiotherapy.Radiation oncology (London, England) · 2022Article
- Local Control After Stereotactic Body Radiation Therapy for Stage I Non-Small Cell Lung Cancer.International journal of radiation oncology, biology, physics · 2021Review
- High Dose per Fraction, Hypofractionated Treatment Effects in the Clinic (HyTEC): An Overview.International journal of radiation oncology, biology, physics · 2021Article
- Article
- Lung Cancer Radiotherapy: Simulation and Analysis Based on a Multicomponent Mathematical Model.Computational and mathematical methods in medicine · 2021Article
- Article
Corrections and comments
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Authors and funding
14 authors at 11 institutions in 2 countries.
Funding
Abstract
This work is to analyze pooled clinical data using different radiobiological models and to understand the relationship between biologically effective dose (BED) and tumor control probability (TCP) for stereotactic body radiotherapy (SBRT) of early-stage non-small cell lung cancer (NSCLC). The clinical data of 1-, 2-, 3-, and 5-year actuarial or Kaplan-Meier TCP from 46 selected studies were collected for SBRT of NSCLC in the literature. The TCP data were separated for Stage T1 and T2 tumors if possible, otherwise collected for combined stages. BED was calculated at isocenters using six radiobiological models. For each model, the independent model parameters were determined from a fit to the TCP data using the least chi-square (χ
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.