Evidence map›Paper›PMID 41023095›Full record

ArticleScientific reports2025

A case study on optimizing helical tomotherapy parameters for small cell lung cancer with extensive pleural metastasis.

Longyan Duan, Weixiang Qi, Chao Li, Jiayi Chen, Shengguang Zhao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Longyan Duan *Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Weixiang Qi *Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Chao LiDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jiayi ChenDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. cjy11756@rjh.com.cn.
Shengguang ZhaoDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. zsg10935@rjh.com.cn.

Funding

Clinical Research Special Project of Shanghai Municipal Health Commission Health Industry 202340226Science and Technology Innovation Plan Of Shanghai Science and Technology Commission 23Y11904700Shanghai Hospital Development Center Foundation SHDC12023108Shanghai Science and Technology Innovation Action Plan 23Y41900100
6 · The paper itself

Abstract

The study aimed to evaluate the impact of various parameters on treatment plan quality and delivery time in helical tomotherapy (HT) for small cell lung cancer patients with extensive pleura metastasis (SCLC-EPM) and to identify the optimal parameter combination. Four SLCL-EPM patients were included. For each patient, the planning target volume (PTV) and organs at risk (OARs), including the left lung, right lung, total lung, heart, esophagus, spinal cord, were delineated. A total of 27 treatment plans per patient (108 total) were generated by varying three parameters: Field Width (FW), Pitch Factor (PF), Modulation Factor (MF). FW defined treatment field length at isocenter. Smaller FWs boosted precision but extend beam-on time. PF was couch movement per rotation relative to FW; tighter PFs reduced dose fluctuations; MF, the max-to-average leaf-opening ratio, improved modulation at the cost of longer delivery. The reference plan used default values (FW = 2.5 cm, PF = 0.287, MF = 3.6), assumed to yield the best dose distribution and treatment time. Plan quality was assessed using PTV metrics (Homogeneity index (HI), conformity index (CI), D

Indexed as

Lung NeoplasmsPleural NeoplasmsRadiotherapy, Intensity-ModulatedSmall Cell Lung CarcinomaAgedFemaleHumansMaleMiddle AgedOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-Assisted

Identifiers

PMID41023095
PMCPMC12480503

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Registered trials

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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.