Diagnostic accuracy of ultrasound and magnetic resonance imaging in detecting Stener lesions of the thumb: systematic review and meta-analysis

This study assesses the diagnostic accuracy of ultrasound and magnetic resonance imaging (MRI) in diagnosing Stener lesions of the thumb. MEDLINE, PubMed, Embase and Cochrane CENTRAL were searched for studies using ultrasound or MRI to detect Stener lesions following suspected thumb ulnar collateral ligament injuries. The reference standard was surgical exploration or clinical joint stability. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. A random-effects bivariate meta-analysis was used to estimate pooled sensitivity and specificity. Forest plots were generated. Nine ultrasound (315 thumbs) and six MRI (107 thumbs) studies were included in meta-analysis (all high risk of bias). Pooled sensitivity and specificity for ultrasound were 95% and 94%, and for MRI were 93% and 98%. Both ultrasound and MRI demonstrate high diagnostic accuracy in detecting Stener lesions. Ultrasound is an appropriate first-line imaging modality.

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Preoperative Assessment of Cervical Involvement in Endometrial Cancer by Transvaginal Ultrasound and Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis

Ultraschall in der Medizin - European Journal of Ultrasound ◽

10.1055/a-1408-2292 ◽

2021 ◽

Author(s):

Juan Luis Alcazar ◽

Patricia Carazo ◽

Leyre Pegenaute ◽

Elena Gurrea ◽

Irene Campos ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Endometrial Cancer ◽

Magnetic Resonance ◽

Diagnostic Accuracy ◽

Sensitivity And Specificity ◽

Meta Analysis ◽

Transvaginal Ultrasound ◽

Preoperative Assessment ◽

Resonance Imaging ◽

Cervical Involvement

Abstract Objective To compare the diagnostic accuracy of transvaginal ultrasound (TVS) and magnetic resonance imaging (MRI) for detecting cervical infiltration by endometrial carcinoma using meta-analysis assessment. Methods An extensive search of papers comparing TVS and MRI for assessing cervical infiltration in endometrial cancer in the same set of patients was performed in Medline (Pubmed), Web of Science, and the Cochrane Database. Quality was assessed using QUADAS-2 tool (Quality Assessment of Diagnostic Accuracy Studies-2). Quantitative meta-analysis was performed. Results Our extended search identified 12 articles that used both techniques in the same set of patients and were included in the meta-analysis. The risk of bias for most studies was high for patient selection and index tests in QUADAS-2. Overall, the pooled estimated sensitivity and specificity for diagnosing cervical infiltration in women with endometrial cancer were identical for both techniques [69 % (95 % CI, 51 %–82 %) and 93 % (95 % CI, 90 %–95 %) for TVS, and 69 % (95 % CI, 57 %–79 %) and 91 % (95 % CI, 90 %–95 %) for MRI, respectively]. No statistical differences were found when comparing both methods. Heterogeneity was high for sensitivity and moderate for specificity when analyzing TVS and moderate for both sensitivity and specificity in the case of MRI. Conclusion TVS and MRI showed very similar diagnostic performance for diagnosing cervical involvement in women with endometrial cancer.

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Machine Learning for the Prediction of Molecular Markers in Glioma on Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis

Neurosurgery ◽

10.1093/neuros/nyab103 ◽

2021 ◽

Author(s):

Anne Jian ◽

Kevin Jang ◽

Maurizio Manuguerra ◽

Sidong Liu ◽

John Magnussen ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Machine Learning ◽

Magnetic Resonance ◽

Diagnostic Accuracy ◽

Sensitivity And Specificity ◽

Meta Analysis ◽

Computational Techniques ◽

Imaging Features ◽

Idh Mutation ◽

Resonance Imaging

Abstract BACKGROUND Molecular characterization of glioma has implications for prognosis, treatment planning, and prediction of treatment response. Current histopathology is limited by intratumoral heterogeneity and variability in detection methods. Advances in computational techniques have led to interest in mining quantitative imaging features to noninvasively detect genetic mutations. OBJECTIVE To evaluate the diagnostic accuracy of machine learning (ML) models in molecular subtyping gliomas on preoperative magnetic resonance imaging (MRI). METHODS A systematic search was performed following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines to identify studies up to April 1, 2020. Methodological quality of studies was assessed using the Quality Assessment for Diagnostic Accuracy Studies (QUADAS)-2. Diagnostic performance estimates were obtained using a bivariate model and heterogeneity was explored using metaregression. RESULTS Forty-four original articles were included. The pooled sensitivity and specificity for predicting isocitrate dehydrogenase (IDH) mutation in training datasets were 0.88 (95% CI 0.83-0.91) and 0.86 (95% CI 0.79-0.91), respectively, and 0.83 to 0.85 in validation sets. Use of data augmentation and MRI sequence type were weakly associated with heterogeneity. Both O6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation and 1p/19q codeletion could be predicted with a pooled sensitivity and specificity between 0.76 and 0.83 in training datasets. CONCLUSION ML application to preoperative MRI demonstrated promising results for predicting IDH mutation, MGMT methylation, and 1p/19q codeletion in glioma. Optimized ML models could lead to a noninvasive, objective tool that captures molecular information important for clinical decision making. Future studies should use multicenter data, external validation and investigate clinical feasibility of ML models.

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Discussion: The Effect of Study Design Biases on the Diagnostic Accuracy of Magnetic Resonance Imaging for Detecting Silicone Breast Implant Ruptures: A Meta-Analysis

Plastic & Reconstructive Surgery ◽

10.1097/prs.0b013e31820c3159 ◽

2011 ◽

Vol 127 (3) ◽

pp. 1045-1046 ◽

Cited By ~ 1

Author(s):

Dennis C. Hammond

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Diagnostic Accuracy ◽

Study Design ◽

Meta Analysis ◽

Breast Implant ◽

Resonance Imaging ◽

Silicone Breast Implant

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Meta-analysis of diagnostic accuracy of magnetic resonance imaging and mammography for breast cancer

Journal of Cancer Research and Therapeutics ◽

10.4103/jcrt.jcrt_678_17 ◽

2017 ◽

Vol 13 (5) ◽

pp. 862 ◽

Cited By ~ 12

Author(s):

Hong Ren ◽

Yueqiao Zhang

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Diagnostic Accuracy ◽

Meta Analysis ◽

Resonance Imaging

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Magnetic Resonance Imaging for Surveillance of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

Diagnostics ◽

10.3390/diagnostics11091665 ◽

2021 ◽

Vol 11 (9) ◽

pp. 1665

Author(s):

Dong Hwan Kim ◽

Sang Hyun Choi ◽

Ju Hyun Shim ◽

So Yeon Kim ◽

Seung Soo Lee ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Hepatocellular Carcinoma ◽

Magnetic Resonance ◽

Sensitivity And Specificity ◽

Diagnostic Performance ◽

Early Stage ◽

Meta Analysis ◽

Random Effects Model ◽

Resonance Imaging ◽

Meta Regression

Our meta-analysis aimed to evaluate the diagnostic performance of surveillance magnetic resonance imaging (sMRI) for detecting hepatocellular carcinoma (HCC), and to compare the diagnostic performance of sMRI between different protocols. Original articles about the diagnostic accuracy of sMRI for detecting HCC were found in major databases. The meta-analytic pooled sensitivity and specificity of sMRI for detecting HCC were determined using a bivariate random effects model. The pooled sensitivity and specificity of full MRI and abbreviated MRI protocols were compared using bivariate meta-regression. In the total seven included studies (1830 patients), the pooled sensitivity of sMRI for any-stage HCC and very early-stage HCC were 85% (95% confidence interval, 79–90%; I2 = 0%) and 77% (66–85%; I2 = 32%), respectively. The pooled specificity for any-stage HCC and very early-stage HCC were 94% (90–97%; I2 = 94%) and 94% (88–97%; I2 = 96%), respectively. The pooled sensitivity and specificity of abbreviated MRI protocols were 87% (80–94%) and 94% (90–98%), values that were comparable with those of full MRI protocols (84% [76–91%] and 94% [89–99%]; p = 0.83). In conclusion, sMRI had good sensitivity for detecting HCC, particularly very early-stage HCC. Abbreviated MRI protocols for HCC surveillance had comparable diagnostic performance to full MRI protocols.

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The performance of magnetic resonance imaging in the detection of triangular fibrocartilage complex injury: a meta-analysis

Journal of Hand Surgery (European Volume) ◽

10.1177/1753193414567425 ◽

2015 ◽

Vol 40 (5) ◽

pp. 477-484 ◽

Cited By ~ 4

Author(s):

Z. X. Wang ◽

S. L. Chen ◽

Q. Q. Wang ◽

B. Liu ◽

J. Zhu ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Sensitivity And Specificity ◽

Meta Analysis ◽

Triangular Fibrocartilage Complex ◽

Resonance Imaging ◽

Level Of Evidence ◽

Complex Injury ◽

Imaging Results ◽

Triangular Fibrocartilage

The aim of this study was to evaluate the accuracy of magnetic resonance imaging in the detection of triangular fibrocartilage complex injury through a meta-analysis. A comprehensive literature search was conducted before 1 April 2014. All studies comparing magnetic resonance imaging results with arthroscopy or open surgery findings were reviewed, and 25 studies that satisfied the eligibility criteria were included. Data were pooled to yield pooled sensitivity and specificity, which were respectively 0.83 and 0.82. In detection of central and peripheral tears, magnetic resonance imaging had respectively a pooled sensitivity of 0.90 and 0.88 and a pooled specificity of 0.97 and 0.97. Six high-quality studies using Ringler’s recommended magnetic resonance imaging parameters were selected for analysis to determine whether optimal imaging protocols yielded better results. The pooled sensitivity and specificity of these six studies were 0.92 and 0.82, respectively. The overall accuracy of magnetic resonance imaging was acceptable. For peripheral tears, the pooled data showed a relatively high accuracy. Magnetic resonance imaging with appropriate parameters are an ideal method for diagnosing different types of triangular fibrocartilage complex tears. Level of Evidence: Diagnostic Level III

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Diagnostic accuracy of magnetic resonance imaging for tumour staging of bladder cancer: systematic review and meta-analysis

BJU International ◽

10.1111/bju.14366 ◽

2018 ◽

Vol 122 (5) ◽

pp. 744-753 ◽

Cited By ~ 18

Author(s):

Niket Gandhi ◽

Satheesh Krishna ◽

Christopher M. Booth ◽

Rodney H. Breau ◽

Trevor A. Flood ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Systematic Review ◽

Bladder Cancer ◽

Magnetic Resonance ◽

Diagnostic Accuracy ◽

Meta Analysis ◽

Tumour Staging ◽

Resonance Imaging

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The Effect of Study Design Biases on the Diagnostic Accuracy of Magnetic Resonance Imaging for Detecting Silicone Breast Implant Ruptures: A Meta-Analysis

Plastic & Reconstructive Surgery ◽

10.1097/prs.0b013e3182043630 ◽

2011 ◽

Vol 127 (3) ◽

pp. 1029-1044 ◽

Cited By ~ 32

Author(s):

Jae W. Song ◽

Hyungjin Myra Kim ◽

Lillian T. Bellfi ◽

Kevin C. Chung

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Diagnostic Accuracy ◽

Study Design ◽

Meta Analysis ◽

Breast Implant ◽

Resonance Imaging ◽

Silicone Breast Implant

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Imaging Modalities for Diagnosis of Deep Pelvic Endometriosis: Comparison between Trans-Vaginal Sonography, Rectal Endoscopy Sonography and Magnetic Resonance Imaging. A Head-to-Head Meta-Analysis

Diagnostics ◽

10.3390/diagnostics9040225 ◽

2019 ◽

Vol 9 (4) ◽

pp. 225 ◽

Cited By ~ 9

Author(s):

Marco Noventa ◽

Marco Scioscia ◽

Michele Schincariol ◽

Francesco Cavallin ◽

Giovanni Pontrelli ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Diagnostic Accuracy ◽

Meta Analysis ◽

Imaging Modalities ◽

Transvaginal Sonography ◽

Test Accuracy ◽

Pelvic Endometriosis ◽

Resonance Imaging ◽

Deep Pelvic Endometriosis

Objectives: A meta-analysis, with a head-to-head approach, was carried out to compare the three most common techniques for a deep pelvic endometriosis (DPE) diagnosis. We focused on: transvaginal-sonography (TVS), magnetic-resonance imaging (MRI), and rectal-endoscopy-sonography (RES). Methods: Electronic databases were searched from their inception until December 2018. All prospective and well-defined retrospective studies carried out in tertiary referral centers were considered. This review was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Synthesizing Evidence from Diagnostic Accuracy Tests (SEDATE) guidelines. We considered only papers in which at least two imaging modalities were compared in the same set of patients (head-to-head approach). Meta-analysis of diagnostic test accuracy (DTA) was performed separately for each location of interest. Bivariate or univariate approach has been applied when appropriate. We analyze the DTA of TVS vs. MRI, TVS vs. RES, and MRI vs. RES. Results: Our meta-analysis (17 studies included) showed high-to-moderate DTA of TVS for all endometriosis locations (apart from recto-vaginal septum (RVS)) that were not statistically different from MRI and RES for those localized in the posterior compartment. RES results were more accurate than MRI for RS lesions but less accurate than TVS for other pelvic locations, except for RVS. Conclusions: All approaches provide good accuracy with specific strong points. Ultrasonography demonstrated a diagnostic accuracy not inferior to MRI and RES; therefore, it must be considered the primary approach for DPE diagnosis. MRI has to be considered as a valuable approach in settings where highly skilled sonographers are not available. Keypoints: (1) We confirmed the non-inferiority of TVS compared to MRI and RES for the diagnosis of specific pelvic anatomic location of endometriosis lesions. (2) Ultrasonography could be considered the primary approach for DPE diagnosis (less invasive than RES and less expensive than MRI). (3) MRI has to be considered as a valuable approach in settings where skilled sonographers are not available.

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