Evidence map›Paper›PMID 31912746›Full record

ArticleThe British journal of radiology2020

A new respiratory monitor system for four-dimensional computed tomography by measuring the pressure change on the back of body.

Xianwen Zhang, Jintian Tang, Gregory C Sharp, Lei Xiao, Shouping Xu, Hsiao-Ming Lu

Abstract read
In one paragraph

Article in The British journal of radiology, 2020. 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

6 authors.

Xianwen ZhangNanjing Research Institute of Electronics Technology, Nanjing, 210039, China.ORCID http://orcid.org/0000-0002-4522-736X
Jintian TangKey Laboratory of Particle and Radiation Imaging, Tsinghua University, Ministry of Education, Beijing, 100084, China.
Gregory C SharpDepartment of Radiation Oncology, Francis H Burr Proton Therapy Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Lei XiaoMaster School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin, 300387, China.
Shouping XuDepartment of Radiation Oncology, Chinese PLA General Hospital, Beijing, 100853, China.
Hsiao-Ming LuDepartment of Radiation Oncology, Francis H Burr Proton Therapy Center, Massachusetts General Hospital, Boston, MA 02114, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA novel respiratory monitoring method based on the periodical pressure change on the patient's back was proposed and assessed by applying to four-dimensional CT (4DCT) scanning.

methodsA pressure-based respiratory monitoring system is developed and validated by comparing to real-time position management (RPM) system. The pressure change and the RPM signal are compared with phase differences and correlations calculated. The 4DCT images are reconstructed by these two signals. Internal and skin artifacts due to mismatch between CT slices and respiratory phases are evaluated.

resultsThe pressure and RPM signals shows strong consistency (

conclusionThe pressure signal provides qualified results for respiratory monitoring in 4DCT scanning, demonstrating its potential application for respiration monitoring in radiotherapy. ADVANCES IN KNOWLEDGE: Pressure change on the back of body is a novel and promising method to monitor respiration in radiotherapy, which may improve treatment comfort and provide more information about respiration and body movement.

Indexed as

BackOrgan MotionPressureRespirationArtifactsEquipment DesignFemaleFour-Dimensional Computed TomographyHumansImage Processing, Computer-AssistedMaleMonitoring, PhysiologicNeoplasmsTime Factors

Identifiers

PMID31912746
PMCPMC7362921

What OpenQuestion holds

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Registered trials

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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.