scholarly journals Imaging modality for measuring the presence and extent of the labral lesions of the shoulder: a systematic review and meta-analysis

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Fanxiao Liu ◽  
Xiangyun Cheng ◽  
Jinlei Dong ◽  
Dongsheng Zhou ◽  
Qian Sun ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
Imaging Modality ◽  
Meta Analysis ◽  
Mr Arthrography ◽  
Diagnostic Value ◽  
Pooled Analysis ◽  
Summary Receiver Operating Characteristic ◽  
Ct Arthrography ◽  
First Choice ◽  
Bone Damage

Abstract Background Multiple published studies quantitatively analysing the diagnostic value of MRI, MR arthrography (MRA) and CT arthrography (CTA) for labral lesions of the shoulder have had inconsistent results. The aim of this meta-analysis was to systematically compare the diagnostic performance of MRI, MRA, CTA and CT. Methods Two databases, PubMed and EMBASE, were used to retrieve studies targeting the accuracy of MRI, MRA, CTA and CT in detecting labral lesions of the shoulder. After carefully screening and excluding studies, the studies that met the inclusion criteria were used for a pooled analysis, including calculation of sensitivity and specificity with 95% confidence intervals (CIs) and the area under the hierarchical summary receiver operating characteristic (HSROC) curves. Results The retrieval process identified 2633 studies, out of which two reviewers screened out all but 14 studies, involving a total of 1216 patients who were deemed eligible for inclusion in the meta-analysis. The results assessing the diagnostic performance of MRI vs. MRA for detecting labral lesions showed a pooled sensitivity of 0.77 (95% CI 0.70–0.84) vs. 0.92 (95% CI 0.84–0.96), a specificity of 0.95 (95% CI 0.85–0.98) vs. 0.98 (95% CI 0.91–0.99), and an area under the HSROC curve of 3.78 (95% CI 2.73–4.83) vs. 6.01 (95% CI 4.30–7.73), respectively. Conclusion MRA was suggested for use in patients with chronic shoulder symptoms or a pathologic abnormality. MRI is by far the first choice recommendation for the detection of acute labral lesions. CT should be a necessary supplemental imaging technique when there is highly suspected glenoid bone damage.

scholarly journals Imaging modality for measuring the presence and extent of the labral lesions of the shoulder: a systematic review and meta-analysis

2019 ◽  
Author(s):  
Fanxiao Liu ◽  
Xiangyun Cheng ◽  
Jinlei Dong ◽  
Dongsheng Zhou ◽  
Qian Sun ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
Imaging Modality ◽  
Meta Analysis ◽  
Mr Arthrography ◽  
Diagnostic Value ◽  
Pooled Analysis ◽  
Summary Receiver Operating Characteristic ◽  
Ct Arthrography ◽  
First Choice ◽  
Bone Damage

Abstract Background: Multiple published studies quantitatively analysing the diagnostic value of MRI, MR arthrography (MRA) and CT arthrography (CTA) for labral lesions of the shoulder have had inconsistent results. The aim of this meta-analysis was to systematically compare the diagnostic performance of MRI, MRA, CTA and CT. Methods: Two databases, PubMed and EMBASE, were used to retrieve studies targeting the accuracy of MRI, MRA, CTA and CT in detecting labral lesions of the shoulder. After carefully screening and excluding studies, the studies that met the inclusion criteria were used for a pooled analysis, including calculation of sensitivity and specificity with 95% confidence intervals (CIs) and the area under the hierarchical summary receiver operating characteristic (HSROC) curves. Results: The retrieval process identified 2633 studies, out of which two reviewers screened out all but 14 studies, involving a total of 1216 patients who were deemed eligible for inclusion in the meta-analysis. The results assessing the diagnostic performance of MRI vs. MRA for detecting labral lesions showed a pooled sensitivity of 0.77 (95% CI 0.70-0.84) vs. 0.92 (95% CI 0.84-0.96), a specificity of 0.95 (95% CI 0.85-0.98) vs. 0.98 (95% CI 0.91-0.99), and an area under the HSROC curve of 3.78 (95% CI 2.73-4.83) vs. 6.01 (95% CI 4.30-7.73), respectively. Conclusion: MRA was suggested for use in patients with chronic shoulder symptoms or a pathologic abnormality. MRI is by far the first choice recommendation for the detection of acute labral lesions. CT should be a necessary supplemental imaging technique when there is highly suspected glenoid bone damage.

scholarly journals The diagnostic value of EBV-DNA and EBV-related antibodies detection for nasopharyngeal carcinoma: a meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Weixing Liu ◽  
Gui Chen ◽  
Xin Gong ◽  
Yingqi Wang ◽  
Yaoming Zheng ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Test Performance ◽  
Meta Analysis ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Control Group ◽  
Summary Receiver Operating Characteristic ◽  
Ebv Dna ◽  
The Difference ◽  
Sensitivity Specificity

Abstract Background Numerous individual studies have investigated the diagnostic value of EBV-DNA, EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG detection for nasopharyngeal carcinoma (NPC), but the conclusions remain controversial. This meta-analysis aimed to determine the value of EBV-DNA, EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG detection in the diagnosis of NPC. Methods PROSPERO registration number: CRD42019145532. PubMed, EMBASE, Cochrane Library, and Chinese data libraries (Wanfang, CNKI, and CBM) were searched up to January 2019. The pooled sensitivity, specificity, and positive likelihood, negative likelihood, and diagnostic odds ratios were conducted in this meta-analysis. Summary receiver operating characteristic curves evaluated the test-performance global summary. Publication bias was examined by Deek’s funnel plot asymmetry test. Results Forty-seven studies with 8382 NPC patients (NPC group) and 15,089 individuals without NPC (Control group) were included in this meta-analysis. The sensitivity, specificity, positive likelihood (+ LR), negative likelihood (-LR), DOR and AUC of EBV-DNA in diagnosis of NPC were: 0.76 (95% CI 0.73–0.77), 0.96 (95% CI 0.95–0.97), 14.66 (95% CI 9.97–21.55), 0.19 (95% CI 0.13–0.28), 84 (95% CI 50.45–139.88), 0.96 (SE: 0.001), and 0.55 (95% CI 0.54–0.57), 0.96 (95% CI 0.96–0.97), 12.91 (95% CI 9.55–17.45), 0.35 (95% CI 0.29–0.43), 39.57 (95% CI 26.44–59.23), 0.94 (SE: 0.002) for the EA-IgA, and 0.85 (95% CI 0.84–0.85), 0.89 (95% CI 0.88–0.89), 6.73 (95% CI5.38–8.43), 0.17 (95% CI 0.12–0.23), 43.03 (95% CI 31.51–58.76), 0.93 (SE: 0.007) for the VCA-IgA, and 0.86 (95% CI 0.85–0.88), 0.87 (95% CI 0.88–0.90), 7.55 (95% CI 5.79–9.87), 0.16 (95% CI 0.13–0.19), 50.95 (95% CI 34.35–75.57), 0.94 (SE: 0.008) for the EBNA1-IgA, and 0.70 (95% CI 0.69–0.71), 0.94 (95% CI 0.94–0.95), 9.84 (95% CI 8.40–11.54), 0.25 (95% CI 0.21–0.31), 40.59 (95% CI 32.09–51.35), 0.95 (SE: 0.005) for the Rta-IgG. The EBV-DNA had larger AUC compared with other EBV-based antibodies (P < 0.05), while the difference between EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG was not statistically significant (P > 0.05). Conclusions EBV-DNA, VCA-IgA, EBNA1-IgA and Rta-IgG detection have high accuracy in early diagnosis NPC. In addition, EBV-DNA detection has the higher diagnosis accuracy in NPC. On the other hand, EA-IgA is suitable for the diagnosis but not NPC screening.

MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis

2019 ◽  
Vol 61 (7) ◽  
pp. 964-972 ◽  
Author(s):  
Chong Hyun Suh ◽  
Seung Chai Jung ◽  
Se Jin Cho ◽  
Dong-Cheol Woo ◽  
Woo Yong Oh ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Diagnostic Performance ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Threshold Effect ◽  
Hemorrhagic Transformation ◽  
Summary Receiver Operating Characteristic ◽  
Mortality And Morbidity ◽  
Study Heterogeneity

Background Hemorrhagic transformation increases mortality and morbidity in patients with acute ischemic stroke. Purpose The purpose of this study is to evaluate the diagnostic performance of magnetic resonance imaging (MRI) for prediction of hemorrhagic transformation in acute ischemic stroke. Material and Methods A systematic literature search of MEDLINE and EMBASE was performed up to 27 July 2018, including the search terms “acute ischemic stroke,” “hemorrhagic transformation,” and “MRI.” Studies evaluating the diagnostic performance of MRI for prediction of hemorrhagic transformation in acute ischemic stroke were included. Diagnostic meta-analysis was conducted with a bivariate random-effects model to calculate the pooled sensitivity and specificity. Subgroup analysis was performed including studies using advanced MRI techniques including perfusion-weighted imaging, diffusion-weighted imaging, and susceptibility-weighted imaging. Results Nine original articles with 665 patients were included. Hemorrhagic transformation is associated with high permeability, hypoperfusion, low apparent diffusion coefficient (ADC), and FLAIR hyperintensity. The pooled sensitivity was 82% (95% confidence interval [CI] 61–93) and the pooled specificity was 79% (95% CI 71–85). The area under the hierarchical summary receiver operating characteristic curve was 0.85 (95% CI 0.82–0.88). Although study heterogeneity was present in both sensitivity (I2=67.96%) and specificity (I2=78.93%), a threshold effect was confirmed. Studies using advanced MRI showed sensitivity of 92% (95% CI 70–98) and specificity of 78% (95% CI 65–87) to conventional MRI. Conclusion MRI may show moderate diagnostic performance for predicting hemorrhage in acute ischemic stroke although the clinical significance of this hemorrhage is somewhat uncertain.

scholarly journals Diagnostic Accuracy of Machine Learning-Based Radiomics in Grading Gliomas: Systematic Review and Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Curtis K. Sohn ◽  
Sotirios Bisdas
Keyword(s):  
Machine Learning ◽  
Diagnostic Accuracy ◽  
Diagnostic Performance ◽  
Meta Analysis ◽  
Total Sample ◽  
Low Grade ◽  
Sample Sizes ◽  
Summary Receiver Operating Characteristic ◽  
Pubmed Database ◽  
Sensitivity Specificity

Purpose. This study aimed to estimate the diagnostic accuracy of machine learning- (ML-) based radiomics in differentiating high-grade gliomas (HGG) from low-grade gliomas (LGG) and to identify potential covariates that could affect the diagnostic accuracy of ML-based radiomic analysis in classifying gliomas. Method. A primary literature search of the PubMed database was conducted to find all related literatures in English between January 1, 2009, and May 1, 2020, with combining synonyms for “machine learning,” “glioma,” and “radiomics.” Five retrospective designed original articles including LGG and HGG subjects were chosen. Pooled sensitivity, specificity, their 95% confidence interval, area under curve (AUC), and hierarchical summary receiver-operating characteristic (HSROC) models were obtained. Result. The pooled sensitivity when diagnosing HGG was higher (96% (95% CI: 0.93, 0.98)) than the specificity when diagnosing LGG (90% (95% CI 0.85, 0.93)). Heterogeneity was observed in both sensitivity and specificity. Metaregression confirmed the heterogeneity in sample sizes ( p = 0.05 ), imaging sequence types ( p = 0.02 ), and data sources ( p = 0.01 ), but not for the inclusion of the testing set ( p = 0.19 ), feature extraction number ( p = 0.36 ), and selection of feature number ( p = 0.18 ). The results of subgroup analysis indicate that sample sizes of more than 100 and feature selection numbers less than the total sample size positively affected the diagnostic performance in differentiating HGG from LGG. Conclusion. This study demonstrates the excellent diagnostic performance of ML-based radiomics in differentiating HGG from LGG.

scholarly journals Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Tao Huang ◽  
Jian Liu ◽  
Yupeng Ma ◽  
Dongsheng Zhou ◽  
Liang Chen ◽  
...  
Keyword(s):  
Rotator Cuff ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Mr Arthrography ◽  
Diagnostic Value ◽  
Rotator Cuff Tears ◽  
Cochrane Library ◽  
Predictive Values ◽  
Partial Thickness ◽  
Sensitivity Specificity

Abstract Background Numerous quantitatively studies have focused on the diagnosis of bursal-sided partial-thickness rotator cuff tears (RCTs); however, the accuracy of magnetic resonance imaging (MRI) and MR arthrography (MRA) remains inconclusive. This study was performed systematically to compare the diagnostic value of MRA and MRI for the bursal-sided partial-thickness RCTs. Methods Three electronic databases, PubMed, Embase, and Cochrane Library, were utilized to retrieve articles comparing the diagnostic value of MRA and MRI for detecting bursal-sided partial-thickness RCTs. After screening and diluting out the articles that met the inclusion criteria to be used for statistical analysis, the pooled evaluation indexes include sensitivity, specificity, positive and negative predictive values, diagnostic odds ratio (DOR), and the area under the receiver operating characteristic curve (AUC). Results Twelve studies involving 1740 patients and 1741 shoulders were identified. The pooled sensitivity, specificity, DOR, and AUC of MRA to diagnose bursal-sided partial-thickness RCTs were 0.77 (95% CI, 0.67–0.85), 0.98 (95% CI, 0.95–0.99), 73.01 (95% CI, 35.01–152.26), and 0.88 (95% CI, 0.85–0.91), respectively. The pooled sensitivity, specificity, DOR, and AUC of MRI were 0.77 (95% CI, 0.66–0.86) and 0.96 (95% CI, 0.81–0.99), and 37.12 (95% CI, 8.08–170.64) and 0.82 (95% CI, 0.78–0.85), respectively. Conclusions This meta-analysis reveals that MRA and MRI have similar diagnostic value for the diagnosis of bursal-sided partial-thickness rotator cuff tears.

scholarly journals Meta-Analysis: Urinary Calprotectin for Discrimination of Intrinsic and Prerenal Acute Kidney Injury

2019 ◽  
Vol 8 (1) ◽  
pp. 74 ◽  
Author(s):  
Jia-Jin Chen ◽  
Pei-Chun Fan ◽  
George Kou ◽  
Su-Wei Chang ◽  
Yi-Ting Chen ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Diagnostic Accuracy ◽  
Diagnostic Performance ◽  
Pediatric Population ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Kidney Injury ◽  
Diagnostic Odds Ratio ◽  
Summary Receiver Operating Characteristic ◽  
Significant Difference

Background: Urinary calprotectin is a novel biomarker that distinguishes between intrinsic or prerenal acute kidney injury (AKI) in different studies. However, these studies were based on different populations and different AKI criteria. We evaluated the diagnostic accuracy of urinary calprotectin and compared its diagnostic performance in different AKI criteria and study populations. Method: In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched PubMed, Embase, and the Cochrane database up to September 2018. The diagnostic performance of urinary calprotectin (sensitivity, specificity, predictive ratio, and cutoff point) was extracted and evaluated. Result: This study included six studies with a total of 502 patients. The pooled sensitivity and specificity were 0.90 and 0.93, respectively. The pooled positive likelihood ratio (LR) was 15.15, and the negative LR was 0.11. The symmetric summary receiver operating characteristic (symmetric SROC) with pooled diagnostic accuracy was 0.9667. The relative diagnostic odds ratio (RDOC) of the adult to pediatric population and RDOCs of different acute kidney injury criteria showed no significant difference in their diagnostic accuracy. Conclusion: Urinary calprotectin is a good diagnostic tool for the discrimination of intrinsic and prerenal AKI under careful inspection after exclusion of urinary tract infection and urogenital malignancies. Its performance is not affected by different AKI criteria and adult or pediatric populations.

scholarly journals Diagnostic Value of MRA and MRI for The Articular-Sided Partial-Thickness Rotator Cuff Tears: A Meta-Analysis

2020 ◽  
Author(s):  
Lianxin Li ◽  
Jinlei Dong ◽  
Qinghu Li ◽  
Jinye Dong ◽  
Dongsheng Zhou ◽  
...  
Keyword(s):  
Rotator Cuff ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Mr Arthrography ◽  
Diagnostic Value ◽  
Rotator Cuff Tears ◽  
Cochrane Library ◽  
Initial Examination ◽  
Partial Thickness ◽  
Sensitivity Specificity

Abstract Background: This study aims to compare the diagnostic accuracy of magnetic resonance imaging (MRI) and MR arthrography (MRA) for the articular-sided partial-thickness rotator cuff tear (PTRCT).Methods: Three electronic databases, PubMed/Medline, Embase and Cochrane Library, were utilized to retrieve articles comparing the diagnostic value of MRA and MRI for detecting articular-sided PTRCTs. The pooled statistical indexes included sensitivity, specificity, positive/negative predictive value, diagnostic odds ratio (DOR) and the area under receiver operating characteristic curve (AUC). Results: Eleven studies involving 1703 patients and 1704 shoulders were included. The pooled sensitivity, specificity, DOR and AUC and their 95% CIs of MRA to diagnose articular-sided PTRCTs were 0.81 (95% CI, 0.65-0.90), 0.96 (95% CI, 0.91-0.98), 68.14 (95% CI, 33.20-139.84) and 0.96 (95% CI, 0.94-0.97), respectively. The pooled sensitivity, specificity, DOR and AUC and their 95% CIs of MRI were 0.78 (95% CI, 0.65-0.87) and 0.97 (95% CI, 0.84-0.99), 47.82 (95% CI, 8.29-275.89) and 0.89 (95% CI, 0.86-0.92), respectively.Conclusions: This meta-analysis reveals that MRA has a better diagnostic value than that of MRI for the diagnosis of articular-sided partial-thickness rotator cuff tears, but only small improvement of sensitivity. Considering the price and invasion of MRA, MRI is recommended as an initial examination to detect patients suspected with articular-side partial-thickness rotator cuff tears.

scholarly journals Diagnostic performance of ultrasound for rotator cuff tears: a systematic review and meta-analysis

2020 ◽  
Vol 22 (2) ◽  
pp. 197 ◽  
Author(s):  
Weiyu Liang ◽  
Huaiyu Wu ◽  
Fajin Dong ◽  
Hongtian Tian ◽  
Jinfeng Xu
Keyword(s):  
Rotator Cuff ◽  
Likelihood Ratio ◽  
Diagnostic Performance ◽  
High Efficiency ◽  
Meta Analysis ◽  
High Sensitivity ◽  
Diagnostic Odds Ratio ◽  
Rotator Cuff Tears ◽  
Cochrane Library ◽  
Summary Receiver Operating Characteristic

Aim: Rotator cuff (RC) tears are considered to be the main reason for shoulder pain. Although ultrasound is a useful method to detect it, its effectiveness when diagnosing RC tears has been a heated discussion. Therefore, we aimed at evaluating RC tears’ ultrasound accuracy by conducting a systemically review and pooled comprehensive analysis.Materials and methods: Relevant articles up to May 2018 were searched from the Cochrane Library, Embase, and Pubmed databases. Either arthroscopy or magnetic resonance imaging (MRI) was considered as a reference standard. The results were estimated by pooled-sensitivity (P-SEN), pooled-specificity (P-SPE), pooled-diagnostic odds ratio (P-DOR), pooled-likelihood ratio+ (PLR+), pooled-likelihood ratio- (P-LR-), and the area under the summary receiver operating characteristic (SROC).Result: We selected seven prospective studies in accordance with the inclusion criteria that covered 554 rotator cuff tears in 868 patients. The P-SEN, P-SPE, P-LR+, P-LR-, P-DOR, area under the SROC curve of diagnostic performance of ultrasound for RC and post-test probability were 95% (95% CI: 88 – 98), 72% (95% CI: 61 – 81), 3.41 (95% CI: 2.40 – 4.84), 0.08 (95% CI: 0.03 – 0.16), 45.31 (95% CI: 21.04 – 97.59), 89% (95% CI: 0.86 – 0.91), and 46% and 2%, respectively.Conclusion: Our metaanalysis demonstrates that ultrasound has a high efficiency for RC tears’ diagnosis. It can be a promising method in patients with suspected RC tears because of its high sensitivity, specificity and diagnostic accuracy.

scholarly journals Diagnostic performance of lung ultrasound for transient tachypnea of the newborn: A meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248827
Author(s):  
Lili He ◽  
Yinghua Sun ◽  
Wei Sheng ◽  
Qiong Yao
Keyword(s):  
Sensitivity And Specificity ◽  
Diagnostic Performance ◽  
Large Scale ◽  
Lung Ultrasound ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Relevant Literature ◽  
Cochrane Library ◽  
Lower Sensitivity ◽  
Summary Receiver Operating Characteristic

Several recent studies demonstrated that lung ultrasound could achieve desired diagnostic accuracy for transient tachypnea of the neonate (TTN). However, the diagnostic performance of lung ultrasound for TTN has not been systematically studied to date. This meta-analysis aimed to investigate the performance of lung ultrasound in diagnosing TTN. The relevant literature was searched in PubMed, Medline, the Cochrane Library, and Embase databases without any restriction in terms of language and time until January 31, 2021. Studies that assessed the diagnostic performance of lung ultrasound for TTN were included. Seven studies with 1514 participants were summarized. The lung ultrasound provided more accurate performance for diagnosing TTN with pooled sensitivity and specificity of 0.67 [95% confidence interval (CI) = 0.63–0.71] and 0.97 (95% CI = 0.95–0.98), respectively. A higher summarized area under the summary receiver operating characteristic curve was observed as 0.9906. Lower sensitivity and area under the curve (AUC) of B-lines for TTN were observed as 0.330 (95% CI = 0.27–0.38) and 0.5000, respectively. Lung ultrasound provided highly accurate AUC, sensitivity, and specificity in detecting TTN. Large-scale studies are warranted in the future to confirm these results.

Sign in / Sign up

Export Citation Format

Share Document