Evidence map›Paper›PMID 29333959›Full record

ArticleTechnology in cancer research & treatment2017

A Noninvasive Body Setup Method for Radiotherapy by Using a Multimodal Image Fusion Technique.

Jie Zhang, Ying Chen, Yunxia Chen, Chenchen Wang, Jing Cai, Kaiyue Chu, Jianhua Jin, Yun Ge, Xiaolin Huang, Yue Guan and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Technology in cancer research & treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Jie Zhang1 Department of Biomedical Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Ying Chen1 Department of Biomedical Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Yunxia Chen1 Department of Biomedical Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Chenchen Wang1 Department of Biomedical Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Jing Cai2 Department of Radiotherapy, Nantong Tumor Hospital, Nantong, China.
Kaiyue Chu2 Department of Radiotherapy, Nantong Tumor Hospital, Nantong, China.
Jianhua Jin2 Department of Radiotherapy, Nantong Tumor Hospital, Nantong, China.
Yun Ge1 Department of Biomedical Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Xiaolin Huang1 Department of Biomedical Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Yue Guan1 Department of Biomedical Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Weifeng Li1 Department of Biomedical Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo minimize the mismatch error between patient surface and immobilization system for tumor location by a noninvasive patient setup method. MATERIALS AND

methodsThe method, based on a point set registration, proposes a shift for patient positioning by integrating information of the computed tomography scans and that of optical surface landmarks. An evaluation of the method included 3 areas: (1) a validation on a phantom by estimating 100 known mismatch errors between patient surface and immobilization system. (2) Five patients with pelvic tumors were considered. The tumor location errors of the method were measured using the difference between the proposal shift of cone-beam computed tomography and that of our method. (3) The collected setup data from the evaluation of patients were compared with the published performance data of other 2 similar systems.

resultsThe phantom verification results showed that the method was capable of estimating mismatch error between patient surface and immobilization system in a precision of <0.22 mm. For the pelvic tumor, the method had an average tumor location error of 1.303, 2.602, and 1.684 mm in left-right, anterior-posterior, and superior-inferior directions, respectively. The performance comparison with other 2 similar systems suggested that the method had a better positioning accuracy for pelvic tumor location.

conclusionBy effectively decreasing an interfraction uncertainty source (mismatch error between patient surface and immobilization system) in radiotherapy, the method can improve patient positioning precision for pelvic tumor.

Indexed as

Radiotherapy, Image-GuidedHumansMultimodal ImagingNeoplasmsPatient PositioningPhantoms, ImagingRadiosurgeryRadiotherapy Planning, Computer-AssistedRadiotherapy Setup ErrorsTomography, X-Ray Computedmismatch error between patient surface and immobilization systemmultimodal image fusionpatient setupradiotherapytumor location

Identifiers

PMID29333959
PMCPMC5762088

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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.