Evidence map›Paper›PMID 41553767›Full record

ArticleTechnology in cancer research & treatment

Development and Validation of a Magnetic Resonance Imaging-Guided Adaptive Radiotherapy Workflow for Long, Continuous Planning Target Volumes.

Lingling Yan, NingYu Wang, Ke Zhang, Wensheng Nie, Shirui Qin, Xiufen Li, Deqi Chen, Qi Fu, Jianrong Dai, Kuo Men

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Lingling YanDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
NingYu WangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ke ZhangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wensheng NieDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shirui QinDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiufen LiDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Deqi ChenDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qi FuDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jianrong DaiDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-1716-4058
Kuo MenDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionOwing to the limitation in the field size of the magnetic resonance (MR)-Linac, currently, tumors with a length of >20 cm cannot be treated. Thus, the present study aimed to develop an expanded magnetic resonance imaging-guided adaptive radiotherapy (MRIgART) workflow for long, continuous planning target volumes (PTVs).MethodsThe PTVs were divided into two sub_target volumes (PTV_sub1 and PTV_sub2). We established two isocenters and defined a field overlap region. By adjusting the MR scan range, devising the online and offline adaptive procedures, synchronizing the online adaptive processes, and constructing a pretreatment dose evaluation, a new MRIgART workflow for long PTVs was established. The new workflow was validated using an in-house-made MR phantom. Additionally, the ArcherQA Monte Carlo-based method, ArcCHECK phantom, and ionization chamber measurement method were used for dose verification.ResultsTwo clinical scenarios were established: (1) both PTV_sub1 and PTV_sub2 followed the adapt-to-position (ATP) workflow, and (2) PTV_sub1 followed the adapt-to-shape (ATS) workflow, whereas PTV_sub2 followed the ATP workflow. The feasibility of the proposed MRIgART workflow for long, continuous PTVs was demonstrated through three independent rounds of testing and validation for each scenario. When field overlaps were utilized, the PTV length that can be treated is 40 cm minus the length of field overlap region. The average gamma pass rates for the PTV_sub1 and PTV_sub2 adaptive plans were 95.74% and 98.63%, respectively (ArcherQA

Indexed as

Magnetic Resonance ImagingNeoplasmsRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedHumansMonte Carlo MethodPhantoms, ImagingRadiotherapy DosageRadiotherapy, Intensity-ModulatedWorkflowdose verificationdual-isocenter MRIgART workflowextended planning target volumesfield overlap regionMR-Linac field size limitation

Identifiers

PMID41553767
PMCPMC12816554

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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.