Evidence map›Paper›PMID 33829650›Full record

ArticleJournal of applied clinical medical physics2021

Treatment planning of volumetric modulated arc therapy and positioning optimization for hippocampal-avoidance prophylactic cranial irradiation.

Qi Fu, Deqi Chen, Hui Yan, Jiayun Chen, Ji Zhu, Lingling Yan, Yingjie Xu, Lei Deng, Kuo Men, Jianrong Dai

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Qi FuDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
Deqi ChenDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
Hui YanDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
Jiayun ChenDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
Ji ZhuDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
Lingling YanDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
Yingjie XuDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
Lei DengDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
Kuo MenDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
Jianrong DaiDepartment of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHippocampal-avoidance prophylactic cranial irradiation (HA-PCI) offers potential neurocognitive benefits but raises technical challenges to treatment planning. This study aims to improve the conventional planning method using volumetric modulated arc therapy (VMAT) technique and investigate a better patient's head positioning to achieve a high quality of HA-PCI treatment plans.

methodsThe improved planning method set a wide expansion of hippocampus as a special region for dose decline. The whole brain target was divided into two parts according to whether the slice included hippocampus and their optimization objectives were set separately. Four coplanar full arcs with partial field sizes were employed to deliver radiation dose to different parts of the target. The collimator angle for all arcs was 90°. Tilting patient's head was achieved by rotating CT images. The improved planning method and tilted head positioning were verified using datasets from 16 patients previously treated with HA-PCI using helical tomotherapy (HT).

resultsFor the improved VMAT plans, the max and mean doses to hippocampus were 7.88 Gy and 6.32 Gy, respectively, significantly lower than those for the conventional VMAT plans (P < 0.001). Meanwhile, the improved planning method significantly improved the plan quality. Compared to the HT plans, the improved VMAT plans result in similar mean dose to hippocampus (P > 0.1) but lower max dose (P < 0.02). Besides, the target coverage was the highest for the improved VMAT plans. The tilted head positioning further reduced the max and mean doses to hippocampus (P < 0.05), significantly decreased the max dose to lens (P < 0.001) and resulted in higher plan quality as compared to nontilted head positioning.

conclusionsThe improved planning method enables the VMAT plans to meet the clinical requirements of HA-PCI treatment with high plan quality and convenience. The tilted head positioning provides superior dosimetric advantages over the nontilted head positioning, which is recommended for clinical application.

Indexed as

Percutaneous Coronary InterventionRadiotherapy, Intensity-ModulatedCranial IrradiationHippocampusHumansOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-Assistedhelical tomotherapyhippocampusprophylactic cranial irradiationvolumetric modulated arc therapy

Identifiers

PMID33829650
PMCPMC8130238

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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.