Evidence map›Paper›PMID 31221159›Full record

ArticleRadiation oncology (London, England)2019

Calculating the individualized fraction regime in stereotactic body radiotherapy for non-small cell lung cancer based on uncomplicated tumor control probability function.

Jia-Yang Lu, Pei-Xian Lin, Bao-Tian Huang

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Utility-Based Dose Selection for Stereotactic Body Radiation Therapy in Hepatocellular Carcinoma.International journal of radiation oncology, biology, physics · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jia-Yang LuDepartment of Radiation Oncology, Cancer Hospital of Shantou University Medical College, No.7 Raoping Road, Shantou, 515031, China.
Pei-Xian LinDepartment of Nosocomial Infection Management, The Second Affiliated Hospital of Shantou University Medical College, 69 North Dongxia Road, Shantou, 515041, China.
Bao-Tian HuangDepartment of Radiation Oncology, Cancer Hospital of Shantou University Medical College, No.7 Raoping Road, Shantou, 515031, China. hbt830910@126.com.ORCID http://orcid.org/0000-0002-2048-3439

Funding

Guangdong Medical Research Foundation A2015534Guangdong Medical Research Foundation B2016048Young Scientists Fund 81602667
6 · The paper itself

Abstract

backgroundTo calculate the individualized fraction regime (IFR) in stereotactic body radiotherapy (SBRT) for non-small cell lung cancer (NSCLC) patients using the uncomplicated tumor control probability (UTCP, P

methodsThirty-three patients with peripheral lung cancer or lung metastases who had undergone SBRT were analyzed. Treatment planning was performed using the dose regime of 48 Gy in 4 fractions. Dose volume histogram (DVH) data for the gross tumor volume (GTV), lung, chest wall (CW) and rib were exported and the dose bin was multiplied by a certain percentage of the dose in that bin which ranged from 1 to 200% in steps of 1%. For each dose fraction, P

resultsThirty-three patients attained an IFR using the introduced methods. All the patients achieved a TCP value higher than 92.0%. The IFR ranged from 3 × 10.8 Gy to 3 × 12.5 Gy for 3 fraction regimes and from 4 × 9.2 Gy to 4 × 10.7 Gy for 4 fraction regimes. Four patients with typical tumor characteristics demonstrated that the IFR was patient-specific and could maximize the therapeutic gain. Patients with a large tumor had a lower TCP and UTCP and a smaller fractional dose than patients with a small tumor. Patients with a tumor adjacent to the organ at risk (OAR) or at a high risk of RIP had a lower UTCP and a smaller fractional dose compared with patients with a tumor located distant from the OAR.

conclusionsThe proposed method is capable of predicting the IFR for NSCLC patients undergoing SBRT. Further validation in clinical samples is required.

Indexed as

AlgorithmsModels, StatisticalAgedCarcinoma, Non-Small-Cell LungDose Fractionation, RadiationFemaleHumansImage Processing, Computer-AssistedLung NeoplasmsMaleMiddle AgedOrgans at RiskPrognosisRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedIndividualized fraction regimeNon-small cell lung cancerStereotactic body radiotherapyUncomplicated tumor control probability

Identifiers

PMID31221159
PMCPMC6587287

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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.