Evidence map›Paper›PMID 40336617›Full record

ArticlePrecision radiation oncology2023

Impact of dose calculation accuracy on inverse linear energy transfer optimization for intensity-modulated proton therapy.

Mei Chen, Wenhua Cao, Pablo Yepes, Fada Guan, Falk Poenisch, Cheng Xu, Jiayi Chen, Yupeng Li, Ivan Vazquez, Ming Yang and 2 more

Abstract read
In one paragraph

Article in Precision radiation oncology, 2023. 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
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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

12 authors.

Mei ChenDepartment of Radiation Oncology Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
Wenhua CaoDepartment of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA.
Pablo YepesDepartment of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA.
Fada GuanDepartment of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA.
Falk PoenischDepartment of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA.
Cheng XuDepartment of Radiation Oncology Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
Jiayi ChenDepartment of Radiation Oncology Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
Yupeng LiDepartment of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA.
Ivan VazquezDepartment of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA.
Ming YangDepartment of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA.
X Ronald ZhuDepartment of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA.
Xiaodong ZhangDepartment of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Objective: To determine the effect of dose calculation accuracy on inverse linear energy transfer (LET) optimization for intensity-modulated proton therapy, and to determine whether adding more beams would improve the plan robustness to different dose calculation engines. Methods: Two sets of intensity-modulated proton therapy plans using two, four, six, and nine beams were created for 10 prostate cancer patients: one set was optimized with dose constraints (DoseOpt) using the pencil beam (PB) algorithm, and the other set was optimized with additional LET constraints (LETOpt) using the Monte Carlo (MC) algorithm. Dose distributions of DoseOpt plans were then recalculated using the MC algorithm, and the LETOpt plans were recalculated using the PB algorithm. Dosimetric indices of targets and critical organs were compared between the PB and MC algorithms for both sets of plans. Results: For DoseOpt plans, dose differences between the PB and MC algorithms were minimal. However, the maximum dose differences in LETOpt plans were 11.11% and 15.85% in the dose covering 98% and 2% (D2) of the clinical target volume, respectively. Furthermore, the dose to 1 cc of the bladder differed by 11.42 Gy (relative biological effectiveness). Adding more beams reduced the discrepancy in target coverage, but the errors in D2 of the structure were increased with the number of beams. Conclusion: High modulation of LET requires high dose calculation accuracy during the optimization and final dose calculation in the inverse treatment planning for intensity-modulated proton therapy, and adding more beams did not improve the plan robustness to different dose calculation algorithms.

Indexed as

dose calculation accuracyintensity‐modulated proton therapyinverse optimizationlinear energy transfer

Identifiers

PMID40336617
PMCPMC11935249

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