Evidence map›Paper›PMID 31367890›Full record

ArticleJapanese journal of radiology2019

Factors affecting the accuracy of respiratory tracking of the image-guided robotic radiosurgery system.

Mitsuhiro Inoue, Kohei Okawa, Junichi Taguchi, Yoshifumi Hirota, Yohei Yanagiya, Chie Kikuchi, Michio Iwabuchi, Taro Murai, Hiromitsu Iwata, Hiroya Shiomi and 3 more

Abstract read
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In one paragraph

Article in Japanese journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  5. Construction of a predictive model for radiation proctitis after radiotherapy for female pelvic tumors based on machine learning.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
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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 7 institutions in 1 country.

Mitsuhiro InoueDepartment of Radiotherapy Quality Management, Yokohama CyberKnife Center, 574-1, Ichisawa-cho, Asahi-ku, Yokohama, 241-0014, Japan. m-inoue@syck.jp.ORCID http://orcid.org/0000-0002-7835-3223
Kohei OkawaDepartment of Radiotherapy Quality Management, Yokohama CyberKnife Center, 574-1, Ichisawa-cho, Asahi-ku, Yokohama, 241-0014, Japan.
Junichi TaguchiDepartment of Radiotherapy Quality Management, Yokohama CyberKnife Center, 574-1, Ichisawa-cho, Asahi-ku, Yokohama, 241-0014, Japan.
Yoshifumi HirotaDepartment of Radiotherapy Quality Management, Yokohama CyberKnife Center, 574-1, Ichisawa-cho, Asahi-ku, Yokohama, 241-0014, Japan.
Yohei YanagiyaDepartment of Radiotherapy Quality Management, Yokohama CyberKnife Center, 574-1, Ichisawa-cho, Asahi-ku, Yokohama, 241-0014, Japan.
Chie KikuchiDepartment of Radiotherapy Quality Management, Yokohama CyberKnife Center, 574-1, Ichisawa-cho, Asahi-ku, Yokohama, 241-0014, Japan.
Michio IwabuchiDepartment of Radiation Therapy, Itabashi Chuo Medical Center, Tokyo, Japan.
Taro MuraiDepartment of Radiology, Nagoya City University Graduate School of Medical Science, Nagoya, Japan.
Hiromitsu IwataDepartment of Radiation Oncology, Yokohama CyberKnife Center, Yokohama, Japan.
Hiroya ShiomiSoseikai Clinic CyberKnife Center, Kyoto, Japan.
Izumi KoikeDepartment of Radiation Oncology, Yokohama CyberKnife Center, Yokohama, Japan.
Koshi TatewakiDepartment of Neurosurgery, Yokohama CyberKnife Center, Yokohama, Japan.
Seiji OhtaDepartment of Neurosurgery, Yokohama CyberKnife Center, Yokohama, Japan.
Cyber Laser (Japan) · JPMie Chuo Medical Center · JPNagoya City University · JPNagoya Medical Center · JPThe University of Osaka · JPUniversity of Tsukuba · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze the factors affecting the tracking accuracy of the CyberKnife Synchrony Respiratory Tracking System (SRTS). MATERIALS AND

methodsA dynamic motion phantom (motion phantom) reproduced the respiratory motions of each patient treated with the SRTS using a ball as the target. CyberKnife tracked the ball using the SRTS, and this process was recorded by a video camera mounted on the linear accelerator head. The tracking error was evaluated from the images captured by the video camera. Multiple regression analysis was used to identify factors affecting tracking accuracy from 91 cases.

resultsThe median tracking error was 1.9 mm (range 0.9-5.3 mm). Four factors affected the tracking accuracy: the average absolute amplitude of the tumor motion in the cranio-caudal (CC) direction (p = 0.007), average position gap due to the phase shift between the internal tumor and external marker positions in the CC direction (p < 0.001), and average velocity of the tumor in the CC (p < 0.001) and anterior-posterior directions (p = 0.033).

conclusionWe identified factors that affected tracking accuracy. This information may assist the identification of suitable margins that should be added to each patient's clinical target volume.

Indexed as

RespirationAdultAgedAged, 80 and overFemaleHumansLungLung NeoplasmsMaleMiddle AgedMotionPhantoms, ImagingRadiology, InterventionalRadiosurgeryReproducibility of ResultsRobotic Surgical ProceduresAccuracyLungMarginRespiratory trackingStereotactic radiotherapy

Identifiers

PMID31367890
OpenAlexW2964591551

What OpenQuestion holds

Textmetadata
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.