Evidence map›Paper›PMID 38755454›Full record

ArticleAbdominal radiology (New York)2024

Value of orthogonal axial MR images in preoperative T staging of gastric cancer.

Quan-Meng Liu, Yan Chen, Wen-Jie Fan, Xue-Han Wu, Zhi-Wen Zhang, Bao-Lan Lu, Yu-Ru Ma, Yi-Yan Liu, Yun-Zhu Wu, Shen-Ping Yu and 1 more

Abstract read
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In one paragraph

Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Quan-Meng Liu *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.ORCID 0009-0000-0927-8656
Yan Chen *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.ORCID 0000-0003-4051-9045
Wen-Jie FanDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.ORCID 0009-0009-0117-9165
Xue-Han WuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.ORCID 0009-0002-8662-1563
Zhi-Wen ZhangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.ORCID 0000-0003-4610-8378
Bao-Lan LuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.ORCID 0000-0002-8393-5017
Yu-Ru MaDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.ORCID 0000-0001-7357-6180
Yi-Yan LiuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.ORCID 0000-0003-2234-3357
Yun-Zhu WuMR Scientific Marketing, SIEMENS Healthineers Ltd., Shanghai, 210031, China.ORCID 0000-0002-4511-762X
Shen-Ping YuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China. yushp@mail.sysu.edu.cn.ORCID 0000-0002-5988-781X
Zi-Qiang WenDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China. wenzq6@mail.sysu.edu.cn.ORCID 0000-0001-9648-3761

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2020A1515010796
6 · The paper itself

Abstract

purposeTo assess the value of orthogonal axial images (OAI) of MRI in gastric cancer T staging.

methodsThis retrospective study enrolled 133 patients (median age, 63 [range, 24-85] years) with gastric adenocarcinoma who underwent both CT and MRI followed by surgery. MRI lacking or incorporating OAI and CT images were evaluated, respectively. Diagnostic performance (accuracy, sensitivity, and specificity) for each T stage, overall diagnostic accuracy and rates of over- and understaging were quantified employing pathological T stage as a reference standard. The McNemar's test was performed to compare the overall accuracy.

resultsAmong patients with pT1-pT4 disease, MRI with OAI (accuracy: 88.7-94.7%, sensitivity: 66.7-93.0%, specificity: 91.5-100.0%) exhibited superior diagnostic performance compared to MRI without OAI (accuracy: 81.2-88.7%, sensitivity: 46.2-83.1%, specificity: 85.5-99.1%) and CT (accuracy: 88.0-92.5%, sensitivity: 53.3-90.1%, specificity: 88.7-98.1%). The overall accuracy of MRI with OAI was significantly higher (83.5%) than that of MRI without OAI (67.7%) (p < .001). However, there was no significant difference in the overall accuracy of MRI with OAI and CT (78.9%) (p = .35). The over- and understaging rates of MRI with OAI (12.0, 4.5%) were lower than those of MRI without OAI (21.8, 10.5%) and CT (12.8, 8.3%).

conclusionOAI play a pivotal role in the T staging of gastric cancer. MRI incorporating OAI demonstrated commendable performance for gastric cancer T-staging, with a slight tendency toward its superiority over CT.

Indexed as

Magnetic Resonance ImagingNeoplasm StagingSensitivity and SpecificityStomach NeoplasmsTomography, X-Ray ComputedAdenocarcinomaAdultAgedAged, 80 and overContrast MediaFemaleHumansMaleMiddle AgedRetrospective StudiesContrast MediaComputed tomographyMagnetic resonance imagingNeoplasm stagingStomach neoplasms

Identifiers

PMID38755454

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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.