Evidence map›Paper›PMID 28695127›Full record

ArticleBioMed research international2017

Comparative Analysis of Local Control Prediction Using Different Biophysical Models for Non-Small Cell Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy.

Bao-Tian Huang, Wu-Zhe Zhang, Li-Li Wu, Pei-Xian Lin, Jia-Yang Lu

Abstract readComparative Study
In one paragraph

Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bao-Tian HuangDepartment of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515031, China.
Wu-Zhe ZhangDepartment of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515031, China.ORCID 0000-0002-0874-259X
Li-Li WuDepartment of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515031, China.ORCID 0000-0003-2373-152X
Pei-Xian LinDepartment of Nosocomial Infection Management, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, China.ORCID 0000-0001-5889-5773
Jia-Yang LuDepartment of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515031, China.ORCID 0000-0002-5573-9596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe consistency for predicting local control (LC) data using biophysical models for stereotactic body radiotherapy (SBRT) treatment of lung cancer is unclear. This study aims to compare the results calculated from different models using the treatment planning data. MATERIALS AND

methodsTreatment plans were designed for 17 patients diagnosed with primary non-small cell lung cancer (NSCLC) using 5 different fraction schemes. The Martel model, Ohri model, and the Tai model were used to predict the 2-year LC value. The Gucken model, Santiago model, and the Tai model were employed to estimate the 3-year LC data.

resultsWe found that the employed models resulted in completely different LC prediction except for the Gucken and the Santiago models which exhibited quite similar 3-year LC data. The predicted 2-year and 3-year LC values in different models were not only associated with the dose normalization but also associated with the employed fraction schemes. The greatest difference predicted by different models was up to 15.0%.

conclusionsOur results show that different biophysical models influence the LC prediction and the difference is not only correlated to the dose normalization but also correlated to the employed fraction schemes.

Indexed as

Biophysical PhenomenaModels, BiologicalRadiosurgeryAgedCarcinoma, Non-Small-Cell LungDose-Response Relationship, RadiationFemaleHumansLung NeoplasmsMaleMiddle Aged

Identifiers

PMID28695127
PMCPMC5488314

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