Evidence map›Paper›PMID 39702400›Full record

ArticleJournal of cardiothoracic surgery2024

Intraoperative patient radiation dose from cone-beam computed tomography in thoracic surgery.

Shinya Kohmaru, Yuichi Saito, Takeshi Takata, Shizuka Morita, Ryo Takeyama, Yasuyuki Kanamoto, Tomoki Nishida, Hitoshi Dejima, Yoshikane Yamauchi, Ikuo Kobayashi and 2 more

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

12 authors.

Shinya KohmaruDepartment of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
Yuichi SaitoDepartment of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan. k3699004@gmail.com.
Takeshi TakataAdvanced Comprehensive Research Organization, Teikyo University, Tokyo, Japan.
Shizuka MoritaDepartment of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
Ryo TakeyamaDepartment of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
Yasuyuki KanamotoDepartment of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
Tomoki NishidaDepartment of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
Hitoshi DejimaDepartment of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
Yoshikane YamauchiDepartment of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
Ikuo KobayashiResearch Institute of Nuclear Engineering, University of Fukui, Fukui, Japan.
Masafumi KawamuraTeikyo University Shinjuku Clinic, Tokyo, Japan.
Yukinori SakaoDepartment of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral methods can be used to intraoperatively identify pulmonary lesion using radiation technology. However, little is known about patient radiation exposure during chest surgery. We aimed to measure patients' radiation exposure from cone-beam computed tomography (CBCT) used in a hybrid operating room.

methodsThis retrospective study included patients who underwent surgical treatment in a hybrid operating room between April 2019 and December 2023 at the Teikyo University Hospital. All data was obtained prospectively, but the study was approved by the IRB as a retrospective study because of repeated extensions of study period in order to collect more cases. Skin radiation exposure was measured using five wearable dosimeters per patient. The measurements were compared to cumulative Air Kerma. Furthermore, the radiation exposure dose on the surgical side, which cannot be measured, was estimated by computer simulation.

resultsAmong 182 patients who underwent surgery in a hybrid operating room, radiation exposure measurements were conducted on 67 patients. The patients' mean age was 60.7 years. The average number of CBCT scans was 2.1 (1-5) and the intraoperative identification rate was 100%, with no marking-related complications. Average patient's skin radiation dose was 3.69 ± 5.48 mGy per dosimeter, and cumulative Air Kerma was 25.4 ± 19.3 mGy. The highest radiation exposure was recorded in the 5th intercostal space whereas the lowest was measured in the supraclavicular or 11th intercostal spaces. Referring to phantom and computer simulation data, the 5th and 8th intercostal spaces were significantly more exposed to radiation at not only measurement side but also the surgical field, particularly when the number of CT scans was four.

conclusionWe found that the patient's 5th to 8th intercostal space was the most radiation exposed area by intraoperative CBCT imaging because the CBCT movement was restricted by the patient's arm, anesthesia machine, and operating table during chest surgery. In future, it is strongly required to research for radiation protection in this area. Furthermore, performing no more than three scans intraoperatively may be preferable in order to protect patients from radiation exposure during CBCT guided thoracic surgery.

Indexed as

Cone-Beam Computed TomographyRadiation DosageAdultAgedFemaleHumansIntraoperative PeriodMaleMiddle AgedOperating RoomsRadiation ExposureRetrospective StudiesThoracic Surgical ProceduresCone-beam computed tomographyNavigation surgeryRadiation exposureSmall lung cancerVideo-assisted thoracoscopic surgery

Identifiers

PMID39702400
PMCPMC11657360

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LicenceCC BY-NC-ND
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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.