The Performance of CT versus MRI in the Differential Diagnosis of Cerebral Venous Thrombosis

2018 ◽  
Vol 118 (06) ◽  
pp. 1067-1077 ◽  
Author(s):  
Weilin Xu ◽  
Liansheng Gao ◽  
Tao Li ◽  
Neha Ramdoyal ◽  
Jianmin Zhang ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Diagnostic Accuracy ◽  
Venous Thrombosis ◽  
Cerebral Venous Thrombosis ◽  
Sinus Thrombosis ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Significant Heterogeneity ◽  
Summary Receiver Operating Characteristic ◽  
Ct And Mri

Background Cerebral venous thrombosis (CVT) is a rare disease, and with poor prognosis. Computed tomography (CT) and magnetic resonance imaging (MRI) are the most commonly used image modalities for patients with non-specific neurologic symptoms. We present here a meta-analysis to assess the accuracy of CT and MRI in the differential diagnosis of CVT and cerebral venous sinus thrombosis (CVST). Materials and Methods A comprehensive search of the PubMed, EMBASE, Web of Science, Cochrane Database and Chinese Biomedical (CBM) databases was conducted prior to March 20, 2017. In this report, we assess the methodological quality of each article individually and perform a meta-analysis to obtain the summary of the diagnostic accuracy of CT and MRI in correctly identifying CVT and CVST. Results Twenty-four eligible articles comprising 48 studies (4,595 cases) were included. The pooled sensitivity for CT–CVT/CT–CVST groups is 0.79 (95% confidence interval [CI]: 0.76, 0.82)/0.81(95% CI: 0.78, 0.84), and pooled specificity is 0.90 (95% CI: 0.89, 0.91)/0.89 (0.88, 0.91), with an area under the curve (AUC) for the summary receiver operating characteristic (SROC) of 0.9314/0.9161, respectively. No significant heterogeneity and publication bias was observed across each study. For MRI–CVT/MRI–CVST, the pooled sensitivity is 0.82 (95% CI: 0.78, 0.85)/0.80 (95% CI: 0.76, 0.83), and pooled specificity is 0.92 (95% CI: 0.91, 0.94)/0.91(0.89, 0.92), with an AUC for the SROC of 0.9221/0.9273, respectively. Conclusion This meta-analysis indicates that both CT and MRI have a high level of diagnostic accuracy in the differential diagnosis of CVT and CVST, independent of stage, target for analysis or analysis methods. They could be chosen as alternative sub-optimal gold standards for diagnosing CVT and CVST, especially in emergency.

scholarly journals Diagnostic accuracy of Doppler ultrasound, CT and MRI in Budd Chiari syndrome: systematic review and meta-analysis

2020 ◽  
Vol 93 (1109) ◽  
pp. 20190847 ◽  
Author(s):  
Pankaj Gupta ◽  
Varun Bansal ◽  
Praveen Kumar-M ◽  
Saroj K Sinha ◽  
Jayanta Samanta ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Doppler Ultrasound ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Diagnostic Odds Ratio ◽  
Budd Chiari Syndrome ◽  
Chiari Syndrome ◽  
Sensitivity Specificity ◽  
Ct And Mri

Objective: To evaluate the sensitivity, specificity, and diagnostic odds ratio (DOR) of Doppler ultrasound, CT, and MRI in the diagnosis of Budd Chiari syndrome (BCS). Methods: We performed a literature search in PubMed, Embase, and Scopus to identify articles reporting the diagnostic accuracy of Doppler ultrasound, CT, and MRI (either alone or in combination) for BCS using catheter venography or surgery as the reference standard. The quality of the included articles was assessed by using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Results: 11 studies were found eligible for inclusion. Pooled sensitivities and specificities of Doppler ultrasound were 89% [95% confidence interval (CI), 81–94%, I2 = 24.7%] and 68% (95% CI, 3–99%, I2 = 95.2%), respectively. Regarding CT, the pooled sensitivities and specificities were 89% (95% CI, 77–95%, I2 = 78.6%) and 72% (95% CI, 21–96%, I2 = 91.4%), respectively. The pooled sensitivities and specificities of MRI were 93% (95% CI, 89–96%, I2 = 10.6%) and 55% (95% CI, 5–96%, I2 = 87.6%), respectively. The pooled DOR for Doppler ultrasound, CT, and MRI were 10.19 (95% CI: 1.5, 69.2), 14.57 (95% CI: 1.13, 187.37), and 20.42 (95% CI: 1.78, 234.65), respectively. The higher DOR of MRI than that of Doppler ultrasound and CT shows the better discriminatory power. The area under the curve for MRI was 90.8% compared with 88.4% for CT and 86.6% for Doppler ultrasound. Conclusion: Doppler ultrasound, CT and MRI had high overall diagnostic accuracy for diagnosis of BCS, but substantial heterogeneity was found. Prospective studies are needed to investigate diagnostic performance of these imaging modalities. Advances in knowledge: MRI and CT have the highest meta-analytic sensitivity and specificity, respectively for the diagnosis of BCS. Also, MRI has the highest area under curve for the diagnosis of BCS.

Diagnostic accuracy of E-cadherin for malignanteffusions: a systematic review and meta-analysis

2019 ◽  
Vol 96 (1139) ◽  
pp. 530-536
Author(s):  
Fangying Chen ◽  
Luqi Dai ◽  
Jing An ◽  
Ni Zeng ◽  
Lei Chen ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Relevant Literature ◽  
Geographical Location ◽  
Area Under The Curve ◽  
Cochrane Library ◽  
Malignant Effusion ◽  
Clinical Value ◽  
Summary Receiver Operating Characteristic ◽  
E Cadherin

BackgroundThe differential diagnosis of malignant effusion remains a clinical challenge. We aim to summarise all relevant literature studies in order to determine the overall clinical value of E-cadherin in the diagnosis of malignant effusion by meta-analysis.MethodsPubMed, the Cochrane Library Database, Medline (Ovid), Web of Science, CNKI, WANFANG and WEIPU databases are thoroughly searched up to 15 March2018. The calculated pooled sensitivity, specificity, likelihood ratio (LR), diagnostic OR(DOR) and the summary receiver operating characteristic (SROC) curve were plotted.ResultsA total of 15 studies were included in the analysis. The sensitivity and specificity of E-cadherin in the diagnosis of malignant effusion were determined to be high, with a sensitivity of 0.83(95%CI0.79 to 0.87) and a specificity of 0.96(95%CI0.90 to 0.98). The positive LR was determined to be 21.10(95%CI 8.54 to 52.11), the negative LR was determined to be 0.17(95% CI 0.14 to 0.22) and the DOR was determined to be 121.34(95%CI 49.11 to 299.80). The SROC curve exhibited a high overall diagnostic, with the area under the curve measured to be 0.91(95% CI 0.89 to 0.93). Subgroup analysis showed the method (cell blocks or smears), sample size (≥100 or<100), geographical location (Asia, Europe or USA) and impact factor of each article (≥3 or<3) were not the sources of overall heterogeneity.ConclusionE-cadherin exhibits very good diagnostic accuracy for the diagnosis for malignant effusion; thus, it can be helpful in the process of clinical decisions.

The Diagnostic Accuracy of Human Epididymis Factor 4 for the Prediction of Optimal Debulking in Patients With Ovarian Cancer: A Meta-Analysis of Observational Studies

2018 ◽  
Vol 28 (8) ◽  
pp. 1471-1477
Author(s):  
Vasilios Pergialiotis ◽  
Nikoleta Karampetsou ◽  
Ioannis Bellos ◽  
Nikolaos Thomakos ◽  
Georgios Daskalakis
Keyword(s):  
Ovarian Cancer ◽  
Minimally Invasive ◽  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Significant Heterogeneity ◽  
Cochrane Central Register ◽  
Human Epididymis ◽  
Invasive Method ◽  
Optimal Debulking

ObjectiveHuman epididymis factor-4 (HE4) has been studied in the field of ovarian cancer with promising results during the last decade. The purpose of the present meta-analysis is to investigate the diagnostic accuracy of HE4, in terms of sensitivity and specificity, as a minimally invasive method to predict optimal debulking in women that experience ovarian cancer.MethodsWe used the Medline (1966–2017), Scopus (2004–2017), EMBASE, ClinicalTrials.gov (2008–2017) and Cochrane Central Register of Controlled Trials CENTRAL (1999–2017) databases in our primary search, along with the reference lists of electronically retrieved full-text articles.ResultsEleven articles were finally retrieved that enrolled 1065 women with ovarian cancer. Three of those were excluded because data were insufficient to introduce them in the meta-analysis. The sensitivity of HE4 for the prediction of optimal debulking was 0.81 (95% confidence interval [CI] 0.74–0.86) and the pooled specificity 0.80 (95% CI 0.75–0.84). The diagnostic odds ratio was 13.88 (95% CI 7.18–26.84) and the area under the curve, 0.86±0.03. After selecting only studies that enrolled patients with advanced disease who had primary debulking surgery, we observed that the pooled sensitivity reached 0.81 (95% CI 0.72–0.88), and the pooled specificity 0.70 (95% CI 0.62–0.78), with an area under the curve of 0.88±0.04.ConclusionsHuman epididymis factor-4 seems to be promising as a minimally invasive method to predict optimal cytoreduction among patients with ovarian cancer. However, interpretation of our findings should be approached with caution because of the significant heterogeneity of included studies.

Accuracy of MRI Diagnosis of Meniscal Tears of the Knee: A Meta-Analysis and Systematic Review

2019 ◽  
Author(s):  
Wei Wang ◽  
Zheng Li ◽  
Hui-Ming Peng ◽  
Yan-Yan Bian ◽  
Ye Li ◽  
...  
Keyword(s):  
Systematic Review ◽  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Meniscal Tears ◽  
Summary Receiver Operating Characteristic ◽  
Cross Sectional

AbstractThis study aimed to evaluate the overall diagnostic value of magnetic resonance imaging (MRI) in patients with suspected meniscal tears. PubMed, Cochrane, Embase database updated to November 2017 were searched by the index words to identify qualified studies, including prospective cohort studies and cross-sectional studies. Literature was also identified by tracking using reference lists. Heterogeneity of the included studies was reviewed to select proper effects model for pooled weighted sensitivity, specificity, and diagnostic odds ratio (DOR). Summary receiver operating characteristic (SROC) analyses were performed for meniscal tears. A total of 17 studies were involved in this meta-analysis to explore the diagnostic accuracy of MRI for meniscal tears. The global sensitivity and specificity of MRI of meniscal tears were 92.0% (95% confidence interval [CI]: 88.0–95.0%) and 90.0% (95% CI: 85.0–95.0%) in medial meniscal tears, and 80.0% (95% CI: 66.0–89.0%) and 95.0% (95% CI: 91.0–97.0%) in lateral meniscal tears, respectively. Moreover, the global positive and negative likelihood ratio of MRI of meniscal tears were 10.33 (95% CI: 6.04–17.67) and 0.09 (95% CI: 0.05–0.14) in medial meniscal tears; 16.48 (95% CI: 8.81–30.83) and 0.21 (95% CI: 0.12–0.37) in lateral meniscal tears, respectively. The global DOR was 81.69 (95% CI: 37.94–175.91) in medial meniscal tears and 56.59 (95% CI: 22.51–142.28) in lateral meniscal tears. The results of area under the SROC indicated high accuracy in medial meniscal tears (area under the curve [AUC] = 0.97, 95% CI: 0.95–0.98) and lateral meniscal tears (AUC = 0.96, 95% CI: 0.94–0.97). This review presents a systematic review and meta-analysis to evaluate the diagnostic accuracy of MRI of meniscal tears. Moderate-to-strong evidence suggests that MRI appears to be associated with higher diagnostic accuracy for detecting medial and lateral meniscal tears.

Diagnostic Accuracy of Noncontrast CT in Detecting Acute Appendicitis: A Meta-analysis of Prospective Studies

2015 ◽  
Vol 81 (6) ◽  
pp. 626-629 ◽  
Author(s):  
Bing Xiong ◽  
Baishu Zhong ◽  
Zhenwei Li ◽  
Feng Zhou ◽  
Ruying Hu ◽  
...  
Keyword(s):  
Acute Appendicitis ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Summary Receiver Operating Characteristic ◽  
Noncontrast Ct

The aim of the study is to evaluate the diagnostic accuracy of noncontrast CT in detecting acute appendicitis. Prospective studies in which noncontrast CT was performed to evaluate acute appendicitis were found on PubMed, EMBASE, and Cochrane Library. Pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were assessed. The summary receiver-operating characteristic curve was conducted and the area under the curve was calculated. Seven original studies investigating a total of 845 patients were included in this meta-analysis. The pooled sensitivity and specificity were 0.90 (95% CI: 0.86–0.92) and 0.94 (95% CI: 0.92–0.97), respectively. The pooled positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio was 12.90 (95% CI: 4.80–34.67), 0.09 (95% CI: 0.04–0.20), and 162.76 (95% CI: 31.05–853.26), respectively. The summary receiver-operating characteristic curve was symmetrical and the area under the curve was 0.97 (95% CI: 0.95–0.99). In conclusion, noncontrast CT has high diagnostic accuracy in detecting acute appendicitis, which is adequate for clinical decision making.

scholarly journals Blood Procalcitonin Level as A Diagnostic Marker of Pediatric Bacterial Meningitis: A Systematic Review and Meta-Analysis

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 846
Author(s):  
Heeyeon Kim ◽  
Yun-Ho Roh ◽  
Seo-Hee Yoon
Keyword(s):  
Bacterial Meningitis ◽  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Diagnostic Odds Ratio ◽  
Summary Receiver Operating Characteristic ◽  
Mortality And Morbidity ◽  
Meningitis In Children ◽  
Sensitivity Specificity

Early diagnosis and treatment of bacterial meningitis in children are essential, due to the high mortality and morbidity rates. However, lumbar puncture is often difficult, and cerebrospinal fluid (CSF) culture takes time. This meta-analysis aims to determine the diagnostic accuracy of blood procalcitonin for detecting bacterial meningitis in children. We conducted a systematic search on electronic databases to identify relevant studies. Pooled sensitivity, specificity, and diagnostic odds ratio (DOR) were calculated, and a hierarchical summary receiver operating characteristic curve and area under the curve (AUC) were determined. Eighteen studies with 1462 children were included in the analysis. The pooled sensitivity, specificity, and the DOR of blood procalcitonin for detecting bacterial meningitis were 0.87 (95% confidence interval (CI): 0.78–0.93); 0.85 (95% CI: 0.75–0.91), and 35.85 (95% CI: 10.68–120.28), respectively. The AUC for blood procalcitonin was 0.921. Blood procalcitonin also showed higher diagnostic accuracy for detecting bacterial meningitis than other conventional biomarkers, including serum C-reactive protein and leukocyte count, CSF leukocyte and neutrophil count, and CSF protein and glucose levels. Blood procalcitonin can be a good supplemental biomarker with high diagnostic accuracy in detecting bacterial meningitis in children.

scholarly journals Performance of interferon-γrelease assay in the diagnosis of tuberculous lymphadenitis: a meta-analysis

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3136 ◽  
Author(s):  
Qianqian Liu ◽  
Wenzhang Li ◽  
Yunfeng Chen ◽  
Xinmiao Du ◽  
Chengdi Wang ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Lower Sensitivity ◽  
Tuberculous Lymphadenitis ◽  
Cervical Lymphadenitis ◽  
Summary Receiver Operating Characteristic

BackgroundThe diagnostic values of interferon-gamma release assays (IGRA) in tuberculosis (TB) vary a lot with different site of infections, with especially higher sensitivities in chronic forms of TB such as tuberculosis of the lymph node. We conducted a meta-analysis to comprehensively evaluate the overall accuracy of diagnostic IGRA for tuberculous lymphadenitis.MethodsPubmed, Web of Science, EMBASE, Wanfang and CNKI databases up to February 17, 2017 were searched to identify published studies. The study quality was evaluated using the QUADAS-2 checklist. The pooled estimates of diagnostic parameters were generated using a bivariate random-effects model and summary receiver operating characteristic (SROC) curves were used to summarize global performance.ResultsA total of ten qualified studies, performed in Korea or China, including 1,084 patients, were enrolled in this meta-analysis. The pooled estimates of diagnostic accuracy were as follows: sensitivity, 0.89 (95% CI [0.85–0.92]); specificity, 0.81 (95% CI [0.77–0.83]); positive likelihood ratio (PLR), 4.25 (95% CI [2.79–6.47]); negative likelihood ratio (NLR), 0.16 (95% CI [0.12–0.22]); and area under the curve (AUC) was 0.93. According to subgroup analyses, studies conducted using QuantiFERON-TB, in Korean population and focusing on cervical lymphadenitis exhibited relative higher specificity while lower sensitivity. No evidence of publication bias was identified.ConclusionsIGRA exhibits high diagnostic accuracy in tuberculous lymphadenitis. The diagnostic value of IGRA differed by different IGRA methods, ethnicity and lymphadenitis location. Our conclusion may be more applicable to population from TB prevalent areas.

Diagnostic accuracy of magnetic resonance angiography for acute pulmonary embolism - a systematic review and meta-analysis

VASA ◽  
2016 ◽  
Vol 45 (2) ◽  
pp. 149-154 ◽  
Author(s):  
Jie Li ◽  
Lei Feng ◽  
Jiangbo Li ◽  
Jian Tang
Keyword(s):  
Pulmonary Embolism ◽  
Magnetic Resonance ◽  
Magnetic Resonance Angiography ◽  
Diagnostic Accuracy ◽  
Acute Pulmonary Embolism ◽  
Meta Analysis ◽  
Likelihood Ratios ◽  
Summary Receiver Operating Characteristic ◽  
Acute Pe ◽  
Limited Sensitivity

Abstract. Background: The aim of this meta-analysis was to evaluate the diagnostic accuracy of magnetic resonance angiography (MRA) for acute pulmonary embolism (PE). Methods: A systematic literature search was conducted that included studies from January 2000 to August 2015 using the electronic databases PubMed, Embase and Springer link. The summary receiver operating characteristic (SROC) curve, sensitivity, specificity, positive likelihood ratios (PLR), negative likelihood ratios (NLR), and diagnostic odds ratio (DOR) as well as the 95 % confidence intervals (CIs) were calculated to evaluate the diagnostic accuracy of MRA for acute PE. Meta-disc software version 1.4 was used to analyze the data. Results: Five studies were included in this meta-analysis. The pooled sensitivity (86 %, 95 % CI: 81 % to 90 %) and specificity (99 %, 95 % CI: 98 % to 100 %) demonstrated that MRA diagnosis had limited sensitivity and high specificity in the detection of acute PE. The pooled estimate of PLR (41.64, 95 % CI: 17.97 to 96.48) and NLR (0.17, 95 % CI: 0.11 to 0.27) provided evidence for the low missed diagnosis and misdiagnosis rates of MRA for acute PE. The high diagnostic accuracy of MRA for acute PE was demonstrated by the overall DOR (456.51, 95 % CI: 178.38 - 1168.31) and SROC curves (AUC = 0.9902 ± 0.0061). Conclusions: MRA can be used for the diagnosis of acute PE. However, due to limited sensitivity, MRA cannot be used as a stand-alone test to exclude acute PE.

The role of serum periostin in the diagnosis of asthma: A meta-analysis

2020 ◽  
Vol 41 (4) ◽  
pp. 240-247
Author(s):  
Lei Yang ◽  
Qingtao Zhao ◽  
Shuyu Wang
Keyword(s):  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
False Negative ◽  
Summary Receiver Operating Characteristic ◽  
True Negative ◽  
Negative Results ◽  
Noninvasive Biomarker ◽  
Sensitivity Specificity ◽  
Serum Periostin

Background: Serum periostin has been proposed as a noninvasive biomarker for asthma diagnosis and management. However, its accuracy for the diagnosis of asthma in different populations is not completely clear. Methods: This meta-analysis aimed to evaluate the diagnostic accuracy of periostin level in the clinical determination of asthma. Several medical literature data bases were searched for relevant studies through December 1, 2019. The numbers of patients with true-positive, false-positive, false-negative, and true-negative results for the periostin level were extracted from each individual study. We assessed the risk of bias by using Quality Assessment of Diagnostic Accuracy Studies 2. We used the meta-analysis to produce summary estimates of accuracy. Results: In total, nine studies with 1757 subjects met the inclusion criteria. The pooled estimates of sensitivity, specificity, and diagnostic odds ratios for the detection of asthma were 0.58 (95% confidence interval [CI], 0.38‐0.76), 0.86 (95% CI, 0.74‐0.93), and 8.28 (95% CI, 3.67‐18.68), respectively. The area under the summary receiver operating characteristic curve was 0.82 (95% CI, 0.79‐0.85). And significant publication bias was found in this meta‐analysis (p = 0.39). Conclusion: Serum periostin may be used for the diagnosis of asthma, with moderate diagnostic accuracy.

scholarly journals The Potential Diagnostic Accuracy of Circulating MicroRNAs for Leukemia: A Meta-Analysis

2021 ◽  
Vol 20 ◽  
pp. 153303382110119
Author(s):  
Wen-Ting Zhang ◽  
Guo-Xun Zhang ◽  
Shuai-Shuai Gao
Keyword(s):  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Circulating Micrornas ◽  
Sensitivity Specificity

Background: Leukemia is a common malignant disease in the human blood system. Many researchers have proposed circulating microRNAs as biomarkers for the diagnosis of leukemia. We conducted a meta-analysis to evaluate the diagnostic accuracy of circulating miRNAs in the diagnosis of leukemia. Methods: A comprehensive literature search (updated to October 13, 2020) in PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang database and China National Knowledge Infrastructure (CNKI) was performed to identify eligible studies. The sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) for diagnosing leukemia were pooled for both overall and subgroup analysis. The meta-regression and subgroup analysis were performed to explore heterogeneity and Deeks’ funnel plot was used to assess publication bias. Results: 49 studies from 22 publications with a total of 3,489 leukemia patients and 2,756 healthy controls were included in this meta-analysis. The overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under the curve were 0.83, 0.92, 10.8, 0.18, 59 and 0.94, respectively. Subgroup analysis shows that the microRNA clusters of plasma type could carry out a better diagnostic accuracy of leukemia patients. In addition, publication bias was not found. Conclusions: Circulating microRNAs can be used as a promising noninvasive biomarker in the early diagnosis of leukemia.

Sign in / Sign up

Export Citation Format

Share Document