Evidence map›Paper›PMID 37097529›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2023

Automated treatment planning for liver cancer stereotactic body radiotherapy.

Ling He, Xingchen Peng, Na Chen, Zhigong Wei, Jingjing Wang, Yingtong Liu, Jianghong Xiao

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2023. 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
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 8 citations in OpenAlex.

  1. Article
  2. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
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  3. Article
  4. Review
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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

7 authors at 3 institutions in 1 country.

Ling He *Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID http://orcid.org/0000-0001-8224-3740
Xingchen Peng *Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Na ChenSchool of Pharmacy, Chengdu Medical College, Xindu Avenue No. 783, Chengdu, 610500, Sichuan, China.
Zhigong WeiDepartment of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jingjing WangDepartment of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yingtong LiuChengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China.
Jianghong XiaoDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China. jhx_wch@outlook.com.ORCID http://orcid.org/0000-0002-2514-1614
Sichuan University · CNChengdu Medical College · CNChengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the quality of fully automated stereotactic body radiation therapy (SBRT) planning based on volumetric modulated arc therapy, which can reduce the reliance on historical plans and the experience of dosimetrists.

methodsFully automated re-planning was performed on twenty liver cancer patients, automated plans based on automated SBRT planning (ASP) program and manual plans were conducted and compared. One patient was randomly selected and evaluate the repeatability of ASP, ten automated and ten manual SBRT plans were generated based on the same initial optimization objectives. Then, ten SBRT plans were generated for another selected randomly patient with different initial optimization objectives to assess the reproducibility. All plans were clinically evaluated in a double-blinded manner by five experienced radiation oncologists.

resultsFully automated plans provided similar planning target volume dose coverage and statistically better organ at risk sparing compared to the manual plans. Notably, automated plans achieved significant dose reduction in spinal cord, stomach, kidney, duodenum, and colon, with a median dose of D

conclusionAutomated planning for SBRT, without relying on historical data, can generate comparable or even better plan quality for liver cancer compared with manual planning, along with better reproducibility, and less clinically planning time.

Indexed as

Liver NeoplasmsRadiosurgeryRadiotherapy, Intensity-ModulatedHumansOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedReproducibility of ResultsAutomated radiotherapy planningLiver cancerSBRTVolumetric modulated arc therapy

Identifiers

PMID37097529
OpenAlexW4366990296

What OpenQuestion holds

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Registered trials

None linked

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.