Evidence map›Paper›PMID 35111630›Full record

ArticleQuantitative imaging in medicine and surgery2022

Low-dose CT with tin filter combined with iterative metal artefact reduction for guiding lung biopsy.

Jing Zhang, Meiling Liu, Daihong Liu, Xiaoqin Li, Meng Lin, Yong Tan, Yuesheng Luo, Xiangfei Zeng, Hong Yu, Hesong Shen and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  8. Systematic review and meta-analysis of low-dose CT-driven biopsy for pulmonary nodules.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2023
    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

14 authors at 2 institutions in 1 country.

Jing Zhang *Department of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Meiling Liu *Department of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Daihong LiuDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Xiaoqin LiDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Meng LinDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Yong TanDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Yuesheng LuoDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Xiangfei ZengDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Hong YuDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Hesong ShenDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Xiaoxia WangDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Leilei LiuDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Yuchuan TanDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Jiuquan ZhangDepartment of Radiology, Chongqing University Cancer Hospital, Chongqing, China.
Chongqing Cancer Hospital · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputed tomography (CT) is currently the imaging modality of choice for guiding pulmonary percutaneous procedures. The use of a tin filter allows low-energy photons to be absorbed which contribute little to image quality but increases the radiation dose that a patient receives. Iterative metal artefact reduction (iMAR) was developed to diminish metal artefacts. This study investigated the impact of using tin filtration combined with an iMAR algorithm on dose reduction and image quality in CT-guided lung biopsy.

methodsNinety-nine consecutive patients undergoing CT-guided lung biopsy were randomly assigned to routine-dose CT protocols (groups A and B; without and with iMAR, respectively) or tin filter CT protocols (groups C and D; without or with iMAR, respectively). Subjective image quality was analysed using a 5-point Likert scale. Objective image quality was assessed, and the noise, contrast-to-noise ratio, and figure of merit were compared among the four groups. Metal artefacts were quantified using CT number reduction and metal diameter blurring. The radiation doses, diagnostic performance, and complication rates were also estimated.

resultsThe subjective image quality of the two scan types was compared. Images with iMAR reconstruction were superior to those without iMAR reconstruction (group A: 3.49±0.65

conclusionsTin filtration combined with an iMAR algorithm may reduce the radiation dose compared to the routine-dose CT protocol, while maintaining comparable diagnostic accuracy and image quality and producing fewer metal artefacts.

Indexed as

biopsyLungmetal artefactsradiation dosagetin filtration

Identifiers

PMID35111630
PMCPMC8739090
OpenAlexW3212944427

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.