Literature DB >> 28901685

Diagnostic performance of CT, gadoxetate disodium-enhanced MRI, and PET/CT for the diagnosis of colorectal liver metastasis: Systematic review and meta-analysis.

Sang Hyun Choi1, So Yeon Kim1, Seong Ho Park1, Kyung Won Kim1, Ja Youn Lee2, Seung Soo Lee1, Moon-Gyu Lee1.   

Abstract

BACKGROUND: Imaging studies, including computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), have an essential role in the detection and localization of colorectal liver metastasis (CRLM).
PURPOSE: To systematically determine the diagnostic accuracy of multidetector row CT (MDCT), gadoxetate disodium-enhanced MRI, and PET/CT for diagnosing CRLM and the sources of heterogeneity between the reported results. STUDY TYPE: Systematic review and meta-analysis.
SUBJECTS: In all, 2151 lesions in CT studies, 2301 lesions in MRI studies, 1846 lesions in PET/CT studies, FIELD STRENGTH: 1.5T and 3.0T. ASSESSMENT: We identified research studies that investigated MDCT, gadoxetate disodium-enhanced MRI, and PET/CT to diagnose CRLM by performing a systematic search of PubMed MEDLINE and EMBASE. Study quality was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). STATISTICAL TESTS: According to the types of imaging tests, study heterogeneity and the threshold effect were analyzed and the meta-analytic summary of sensitivity and specificity were estimated. Meta-regression analysis was performed to further investigate study heterogeneity.
RESULTS: Of the 860 articles screened, we found 36 studies from 24 articles reporting a diagnosis of CRLM (11 CT studies, 12 MRI studies, and 13 PET/CT studies). The meta-analytic summary sensitivity for CT, MRI, and PET/CT were 82.1% (95% confidence interval [CI], 74.0-88.1%), 93.1% (95% CI, 88.4-96.0%), and 74.1% (95% CI, 62.1-83.3%), respectively. The meta-analytic summary specificity for CT, MRI, and PET/CT were 73.5% (95% CI, 53.7-86.9%), 87.3% (95% CI, 77.5-93.2%), and 93.9% (95% CI, 83.9-97.8%), respectively. There was no threshold effect in any of the imaging tests. Neoadjuvant chemotherapy significantly decreased the sensitivity of CT and MRI (P < 0.01), although it did not significantly affect the sensitivity of PET/CT. The study design, type of reference standard, and study quality also affected the diagnostic performances of imaging studies. DATA
CONCLUSION: Despite the heterogeneous accuracy between studies, gadoxetate disodium-enhanced MRI showed the highest sensitivity, and gadoxetate disodium-enhanced MRI and PET/CT had similar specificities for diagnosing CRLM. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1237-1250.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  colon; computed tomography; magnetic resonance imaging; metastasis; positron emission tomography

Mesh:

Substances:

Year:  2017        PMID: 28901685     DOI: 10.1002/jmri.25852

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  15 in total

1.  Whole-body MRI compared with standard pathways for staging metastatic disease in lung and colorectal cancer: the Streamline diagnostic accuracy studies.

Authors:  Stuart A Taylor; Susan Mallett; Anne Miles; Stephen Morris; Laura Quinn; Caroline S Clarke; Sandy Beare; John Bridgewater; Vicky Goh; Sam Janes; Dow-Mu Koh; Alison Morton; Neal Navani; Alfred Oliver; Anwar Padhani; Shonit Punwani; Andrea Rockall; Steve Halligan
Journal:  Health Technol Assess       Date:  2019-12       Impact factor: 4.014

2.  Detection of liver metastases on gadobenate dimeglumine-enhanced MRI: systematic review, meta-analysis, and similarities with gadoxetate-enhanced MRI.

Authors:  Ling Zhang; Xian Yu; Lei Huo; Lun Lu; Xinpeng Pan; Ningyang Jia; Xinxiang Fan; Giovanni Morana; Luigi Grazioli; Guenther Schneider
Journal:  Eur Radiol       Date:  2019-03-26       Impact factor: 5.315

3.  Deep learning radiomics for focal liver lesions diagnosis on long-range contrast-enhanced ultrasound and clinical factors.

Authors:  Li Liu; Chunlin Tang; Lu Li; Ping Chen; Ying Tan; Xiaofei Hu; Kaixuan Chen; Yongning Shang; Deng Liu; He Liu; Hongjun Liu; Fang Nie; Jiawei Tian; Mingchang Zhao; Wen He; Yanli Guo
Journal:  Quant Imaging Med Surg       Date:  2022-06

Review 4.  Diagnostic performance of [18F]-FDG PET/MR in evaluating colorectal cancer: a systematic review and meta-analysis.

Authors:  Seyed Ali Mirshahvalad; Ricarda Hinzpeter; Andres Kohan; Reut Anconina; Roshini Kulanthaivelu; Claudia Ortega; Ur Metser; Patrick Veit-Haibach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-06-16       Impact factor: 10.057

Review 5.  [Oligometastases in gastric and esophageal cancer : Current clinical trials and surgical concepts].

Authors:  S Beckert; A Königsrainer
Journal:  Chirurg       Date:  2018-07       Impact factor: 0.955

Review 6.  Current state of the art imaging approaches for colorectal liver metastasis.

Authors:  Bita Hazhirkarzar; Pegah Khoshpouri; Mohammadreza Shaghaghi; Mounes Aliyari Ghasabeh; Timothy M Pawlik; Ihab R Kamel
Journal:  Hepatobiliary Surg Nutr       Date:  2020-02       Impact factor: 7.293

Review 7.  Current status of surgical treatment of colorectal liver metastases.

Authors:  Feng Xu; Bin Tang; Tian-Qiang Jin; Chao-Liu Dai
Journal:  World J Clin Cases       Date:  2018-11-26       Impact factor: 1.337

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

Authors:  Yitao Mao; Bin Chen; Haofan Wang; Youming Zhang; Xiaoping Yi; Weihua Liao; Luqing Zhao
Journal:  Sci Rep       Date:  2020-02-06       Impact factor: 4.379

9.  Preoperative imaging for colorectal liver metastases: a nationwide population-based study.

Authors:  A K E Elfrink; M Pool; L R van der Werf; E Marra; M C Burgmans; M R Meijerink; M den Dulk; P B van den Boezem; W W Te Riele; G A Patijn; M W J M Wouters; W K G Leclercq; M S L Liem; P D Gobardhan; C I Buis; K F D Kuhlmann; C Verhoef; M G Besselink; D J Grünhagen; J M Klaase; N F M Kok
Journal:  BJS Open       Date:  2020-05-06

Review 10.  Imaging evaluation of the liver in oncology patients: A comparison of techniques.

Authors:  Patrícia S Freitas; Catarina Janicas; José Veiga; António P Matos; Vasco Herédia; Miguel Ramalho
Journal:  World J Hepatol       Date:  2021-12-27
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