Evidence map›Paper›PMID 32029809›Full record

SynthesisScientific reports2020

Diagnostic performance of magnetic resonance imaging for colorectal liver metastasis: A systematic review and meta-analysis.

Yitao Mao, Bin Chen, Haofan Wang, Youming Zhang, Xiaoping Yi, Weihua Liao, Luqing Zhao

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Guideline
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  13. Observational
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  16. Minimizing blood loss and transfusion rate in laparoscopic liver surgery: a review.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2023
    Review
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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

7 authors at 2 institutions in 2 countries.

Yitao MaoDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.ORCID http://orcid.org/0000-0001-5734-1744
Bin ChenDepartment of Interventional Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
Haofan WangDepartment of Interventional Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510630, China.
Youming ZhangDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Xiaoping YiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Weihua LiaoDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China. owenliao@csu.edu.cn.ORCID http://orcid.org/0000-0002-1926-3527
Luqing ZhaoDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China. luqingzhao@csu.edu.cn.ORCID http://orcid.org/0000-0003-1176-0833
Central South University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis of colorectal cancer (CRC) is largely dependent on the early detection of hepatic metastases. With the advantages of nonradioactivity and the availability of multiple scanning sequences, the efficacy of magnetic resonance imaging (MRI) in the detection of colorectal liver metastases (CRLM) is not yet clear. We performed this meta-analysis to address this issue. PubMed, Embase, and the Cochrane Library were searched for studies reporting diagnostic performance of MRI for CRLM. Descriptive and quantitative data were extracted. The study quality was evaluated for the identified studies and a random effects model was used to determine the integrated diagnosis estimation. Meta-regression and subgroup analyses were implemented to investigate the potential contributors to heterogeneity. As a result, seventeen studies were included for analysis (from the year 1996 to 2018), comprising 1121 patients with a total of 3279 liver lesions. The pooled sensitivity, specificity, and diagnostic odds ratio were 0.90 (95% confidence intervals (CI): 0.81-0.95), 0.88 (0.80-0.92), and 62.19 (23.71-163.13), respectively. The overall weighted area under the curve was 0.94 (0.92-0.96). Using two or more imaging planes and a quantitative/semiquantitative interpretation method showed higher diagnostic performance, although only the latter demonstrated statistical significance (P < 0.05). Advanced scanning sequences with DWI and liver-specific contrast media tended to increase the sensitivity for CRLM detection. We therefore concluded that contemporary MRI has high sensitivity and specificity for screening CRLM, especially for those with advanced scanning sequences. Using two or more imaging planes and adopting a quantitative/semiquantitative imaging interpretation may further improve diagnosis. However, the MRI results should be interpreted with caution because of substantial heterogeneity among studies.

Indexed as

Colorectal NeoplasmsHumansImage Interpretation, Computer-AssistedLiverLiver NeoplasmsMagnetic Resonance ImagingMass ScreeningPrognosisROC Curve

Identifiers

PMID32029809
PMCPMC7005325
OpenAlexW3005393262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.