Evidence map›Paper›PMID 39807442›Full record

ArticleTechnical innovations & patient support in radiation oncology2025

Comparative evaluation of two dose-volume histogram prediction tools for treatment planning: Treatment planning quality and dose verification accuracy.

Shoma Nakano, Motoharu Sasaki, Yuji Nakaguchi, Takeshi Kamomae, Kanako Sakuragawa, Yuto Yamaji, Hitoshi Ikushima

Abstract read
In one paragraph

Article in Technical innovations & patient support in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Linear accelerator selection: impact on feasibility dose-volume histograms and practicality in dose reduction for organs at risk during prostate volumetric-modulated arc therapy.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    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

7 authors.

Shoma NakanoSchool of Health Sciences, Tokushima University, Tokushima, Tokushima 770-8503, Japan.
Motoharu SasakiGraduate School of Biomedical Sciences, Tokushima University, Tokushima, Tokushima 770-8503, Japan.
Yuji NakaguchiToyo Medic Co., Ltd., Chiyoda-ku, Tokyo 162-0813, Japan.
Takeshi KamomaeRadioisotope Research Center, Nagoya University, Nagoya, Aichi 464-8602, Japan.
Kanako SakuragawaDepartment of Radiological Technology, Tokushima University Hospital, Tokushima, Tokushima 770-8503, Japan.
Yuto YamajiSchool of Health Sciences, Tokushima University, Tokushima, Tokushima 770-8503, Japan.
Hitoshi IkushimaGraduate School of Biomedical Sciences, Tokushima University, Tokushima, Tokushima 770-8503, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to compare treatment plans created using RapidPlan and PlanIQ for twelve patients with prostate cancer, focusing on dose uniformity, dose reduction to organs at risk (OARs), plan complexity, and dose verification accuracy. The goal is to identify the tool that demonstrates superior performance in achieving uniform target dose distribution and reducing OAR dose, while ensuring accurate dose verification. Methods: Dose uniformity in the planning target volume, excluding the rectum, and dose reduction in the OARs (the rectum and bladder) were assessed. The validation included point-dose measurements with an ionization chamber dosimeter and gamma analysis of dose distributions. Monitor units were calculated to evaluate plan complexity. Results: PlanIQ provided superior dose uniformity, with improvements in the dose homogeneity index compared with RapidPlan. RapidPlan was more effective in reducing OAR doses, particularly in the rectum, with significant reductions at various dose levels. Dose verification showed no significant differences between the two tools. However, PlanIQ showed a smaller mean difference between the calculated and measured doses and a slightly better dose distribution match with less variability than RapidPlan. Conclusions: RapidPlan was more effective at reducing OAR doses, whereas PlanIQ achieved better dose uniformity and lower plan complexity. Both tools performed similarly in terms of dose verification accuracy, with PlanIQ showing a slight advantage in dose-distribution matching. The choice of planning tool depends on the primary treatment goal, whether it is to reduce the OAR doses or improve the target dose uniformity.

Indexed as

PlanIQRapidPlanVerificationVolumetric-modulated arc therapy

Identifiers

PMID39807442
PMCPMC11726782

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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.