Evidence map›Paper›PMID 30241279›Full record

ArticleSensors (Basel, Switzerland)2018

New Digital Plug and Imaging Sensor for a Proton Therapy Monitoring System Based on Positron Emission Tomography.

Nicola D'Ascenzo, Min Gao, Emanuele Antonecchia, Paolo Gnudi, Hsien-Hsin Chen, Fang-Hsin Chen, Ji-Hong Hong, Ing-Tsung Hsiao, Tzu-Chen Yen, Weidong Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 25 citations in OpenAlex.

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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

13 authors at 3 institutions in 3 countries.

Nicola D'AscenzoSchool of life science and technology, Huazhong University of Science and Technology, Wuhan 430074, China. ndasc@hust.edu.cn.
Min GaoSchool of life science and technology, Huazhong University of Science and Technology, Wuhan 430074, China. april_mingao1@hust.edu.cn.
Emanuele AntonecchiaSchool of life science and technology, Huazhong University of Science and Technology, Wuhan 430074, China. emanuele.antonecchia@neuromed.it.
Paolo GnudiIstituto Neurologico Mediterraneo, NEUROMED IRCCS, Pozzilli 86077, Italy. Paolo.Gnudi@student.hs-rm.de.
Hsien-Hsin ChenDepartment of Medical Imaging and Radiological Science, Chang Gung University, Taoyuan 33302, China. hsin0426@gmail.com.
Fang-Hsin ChenDepartment of Medical Imaging and Radiological Science, Chang Gung University, Taoyuan 33302, China. fanghsinchen@mail.cgu.edu.tw.ORCID 0000-0002-1671-4863
Ji-Hong HongDepartment of Radiation Oncology, Chang Gung Memorial Hospital at Linkou (CGMH at Linkou), Taoyuan 33302, China. jihong@cgmh.org.tw.ORCID 0000-0002-1601-6555
Ing-Tsung HsiaoDepartment of Medical Imaging and Radiological Science, Chang Gung University, Taoyuan 33302, China. ihsiao@mail.cgu.edu.tw.
Tzu-Chen YenMolecular Imaging Center and Nuclear Medicine, Chang Gung Memorial Hospital/Chang Gung University (CGMH/CGU), Taoyuan 33302, China. yen1110@cloud.cgmh.org.tw.
Weidong WangKey Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Beijing 100191, China. wangwd301@126.com.
Daoming XiRaycan Technology Co., Ltd., Suzhou 215163, China. daoming.xi@raymeasure.com.
Bo ZhangRaySolution Digital Medical Imaging Co., Ltd., Ezhou 436044, China. bo.zhang@digital-pet.com.
Qingguo XieSchool of life science and technology, Huazhong University of Science and Technology, Wuhan 430074, China. qgxie@hust.edu.cn.ORCID 0000-0001-5353-2201
Istituto Neurologico Mediterraneo · ITHuazhong University of Science and Technology · CNMinistry of Industry and Information Technology · CN

Funding

National Key Scientific Instrument and Equipment Development Project of China 2013YQ030923National Key Scientific Instrument and Equipment Development Project of Hubei Province 2013BEC050National Natural Science Foundation of China 61210003National Natural Science Foundation of China 61425001National Natural Science Foundation of China 61604059Natural Science Foundation of Hubei Province 2016CFA005
6 · The paper itself

Abstract

One of the most challenging areas of sensor development for nuclear medicine is the design of proton therapy monitoring systems. Sensors are operated in a high detection rate regime in beam-on conditions. We realized a prototype of a monitoring system for proton therapy based on the technique of positron emission tomography. We used the Plug and Imaging (P&I) technology in this application. This sensing system includes LYSO/silicon photomultiplier (SiPM) detection elements, fast digital multi voltage threshold (MVT) readout electronics and dedicated image reconstruction algorithms. In this paper, we show that the P&I sensor system has a uniform response and is controllable in the experimental conditions of the proton therapy room. The prototype of PET monitoring device based on the P&I sensor system has an intrinsic experimental spatial resolution of approximately 3 mm (FWHM), obtained operating the prototype both during the beam irradiation and right after it. The count-rate performance of the P&I sensor approaches 5 Mcps and allows the collection of relevant statistics for the nuclide analysis. The measurement of both the half life and the relative abundance of the positron emitters generated in the target volume through irradiation of 10 10 protons in approximately 15 s is performed with 0.5% and 5 % accuracy, respectively.

Indexed as

Positron-Emission TomographyAlgorithmsHalf-LifeImage Processing, Computer-AssistedProtonsProton TherapyProtonsdigital readoutmulti voltage thresholdpositron emission tomographyproton therapysilicon sensors

Identifiers

PMID30241279
PMCPMC6164641
OpenAlexW2889570698

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.