Evidence map›Paper›PMID 30288099›Full record

ArticleCancer management and research2018

Impact of CT slice thickness on volume and dose evaluation during thoracic cancer radiotherapy.

Huanli Luo, Yanan He, Fu Jin, Dingyi Yang, Xianfeng Liu, Xueqi Ran, Ying Wang

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Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huanli LuoDepartment of Radiation Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China, jfazj@126.com.
Yanan HeDepartment of Radiation Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China, jfazj@126.com.
Fu JinDepartment of Radiation Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China, jfazj@126.com.
Dingyi YangDepartment of Radiation Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China, jfazj@126.com.
Xianfeng LiuDepartment of Radiation Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China, jfazj@126.com.
Xueqi RanDepartment of Radiation Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China, jfazj@126.com.
Ying WangDepartment of Radiation Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China, jfazj@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurate delineation of targets and organs at risk (OAR) is required to ensure treatment efficacy and minimize risk of normal tissue toxicity with radiotherapy. Therefore, we evaluated the impacts of computed tomography (CT) slice thickness and reconstruction methods on the volume and dose evaluations of targets and OAR. PATIENTS AND

methodsEleven CT datasets from patients with thoracic cancer were included. 3D images with a slice thickness of 2 mm (2-CT) were created automatically. Images of other slice thickness (4-CT, 6-CT, 8-CT, 10-CT) were reconstructed manually by the selected 2D images using two methods; internal tumor information and external CT Reference markers. Structures and plans on 2-CT images, as a reference data, were copied to the reconstructed images.

resultsThe maximum error of volume was 84.6% for the smallest target in 10-CT, and the maximum error (≥20 cm

conclusionThe image reconstruction method by internal tumor information was less affected by slice thickness than the image reconstruction method by external CT Reference markers. This study suggested that before positioning scanning, the largest section through the target should be determined and the optimal slice thickness should be estimated.

Indexed as

computed tomographydoseimage reconstructionslice thicknessthoracic cancer

Identifiers

PMID30288099
PMCPMC6159785

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