Pooled Positive Likelihood Ratio Research Articles

A Systematic Review and Meta-Analysis of the Accuracy of in VivoReflectance Confocal Microscopy for the Diagnosis of Primary Basal Cell Carcinoma.

Basal cell carcinoma (BCC) is the most common cancer worldwide and its incidence is constantly rising. Early diagnosis and treatment can significantly reduce patient morbidity and healthcare costs. The value of reflectance confocal microscopy (RCM) in non-melanoma skin cancer diagnosis is still under debate. This systematic review and meta-analysis were conducted to assess the diagnostic accuracy of RCM in primary BCC. PubMed, Google Scholar, Scopus, and Web of Science databases were searched up to July 05, 2019, to collect articles concerning primary BCC diagnosis through RCM. The studies’ methodological quality was assessed by the QUADAS-2 tool. The meta-analysis was conducted using Stata 13.0, RevMan 5.0, and MetaDisc 1.4 software. We included 15 studies totaling a number of 4163 lesions. The pooled sensitivity and specificity were 0.92 (95% CI, 0.87–0.95; I2 = 85.27%) and 0.93 (95% CI, 0.85–0.97; I2 = 94.61%), the pooled positive and negative likelihood ratios were 13.51 (95% CI, 5.8–31.37; I2 = 91.01%) and 0.08 (95% CI, 0.05–0.14; I2 = 84.83%), and the pooled diagnostic odds ratio was 160.31 (95% CI, 64.73–397.02; I2 = 71%). Despite the heterogeneity and risk of bias, this study demonstrates that RCM, through its high sensitivity and specificity, may have a significant clinical impact on the diagnosis of primary BCC.

The diagnostic value of SNpc using NM-MRI in Parkinson's disease: meta-analysis.

The main purpose of this study was to systematically evaluate the accuracy of neuromelanin-sensitive magnetic resonance imaging (NM-MRI) in Parkinson's disease (PD) diagnosis using a meta-analysis method. In PubMed, Web of Science, Embase, and Google Scholar, the literatures were searched for the diagnostic value of neuromelanin-sensitive magnetic resonance imaging in PD. The literatures were screened in the light of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Data analysis was processed by Stata 12.0 software to obtain meta-analysis, heterogeneity analysis, and publication bias. Meta-analysis results showed by using NM-MRI observed substantia nigra pars compacta (SNpc) on PD, the pooled diagnostic sensitivity and specificity were 0.82 (95% CI, 0.74-0.87) and 0.82 (95% CI, 0.73-0.89), respectively. And the pooled positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 4.58 (95% CI, 3.08-6.82) and 0.22 (95% CI, 0.16-0.31), respectively. Moreover, subgroup analysis according to the measurement criteria of SNpc showed the SNpc volume should be used as good a marker for diagnosing PD. Finally, Fagan test demonstrated that when PLR was equal to 5, the posterior probability is significantly enhanced to 53%, compared with prior probability (20%). As for NLR (0.22), the prior probability is 20%, while the posterior probability remarkably dropped to 5%. In conclusion, SNpc signal detected by NM-MRI exhibited high sensitivity and specificity for diagnosis of PD, which was a high-performance imaging diagnostic method for PD. We recommend NM-MRI imaging technology to be widely used in Parkinson's diagnosis.

IP-10 for the diagnosis of tuberculosis in children: Protocol for a systematic review and meta-analysis.

Background:Tuberculosis (TB) is a highly contagious and chronic disease. The microbiological examination to confirm children TB disease are limited due to paucibacillary Mycobacterium, specimens and detecting facilities. Considering these limitations in diagnosing children TB, new and reliable methods that detect children TB should be developed. Recently, Interferon gamma-induced protein 10 (IP-10) has been identified as a sensitive parameter in detecting children TB. The present study aims to synthesis and analysis the diagnostic value of IP-10 for children TB.Methods:We will search PubMed, Embase, the Cochrane Library, Web of Science, Chinese National Knowledge Infrastructure, and Chinese Biological Medical Databases. We will search relevant citations up to May 2019. The quality of individual study will be assessed using the Quality Assessment of Diagnostic Accuracy Studies tool-2 (QUADAS-2). Stata 14.0 software will be used to calculate the pooled sensitivity, pooled specificity, pooled positive likelihood ratio (PLR), pooled negative likelihood ratio (NLR), pooled diagnostic odds ratio (DOR), pre-test probability, post-test probability and the hierarchical summary receiver operating characteristic (HSROC) curve.Results:The results of this study will be published in a peer-reviewed journal.Discussion:The evidence will indicate that IP-10 test is an alternative immunological test in detecting children TB. This is a protocol of systematic review and meta-analysis, so the ethical approval and patient consent are not required.Protocol registration number:CRD42019129743.

Accuracy of Raman spectroscopy in discrimination of nasopharyngeal carcinoma from normal samples: a systematic review and meta-analysis.

The aim of this review was to systematically evaluate the diagnostic accuracy of Raman spectroscopy (RS) in the identification of nasopharyngeal carcinomas from normal nasopharyngeal tissue. We searched six databases (PubMed, Embase, Cochrane Library, Web of Science, Scopus and CNKI) up to September 2018 for all published studies that assessed the diagnostic accuracy of RS in the detection of nasopharyngeal carcinomas. Non-qualifying studies were screened out in accordance with the specified exclusion criteria and relevant information about the diagnostic performance of RS extracted. A random effects model was adopted to calculate the pooled sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR, respectively), diagnostic threshold and diagnostic odds ratio (DOR). Additionally, we conducted a summary receiver-operating characteristic (SROC) curve analysis and threshold analysis, reporting area under the curve (AUC) to evaluate the overall performance of RS. Three studies examined RS analysis in vivo, the pooled sensitivity and specificity of RS of which were 0.90 and 0.91, respectively, with an AUC of 0.9617. Eighteen studies assessed ex vivo samples, for which RS exhibited particularly high accuracy for the analysis of blood plasma. RS was demonstrated to be a reliable technique for the detection of nasopharyngeal carcinoma with high accuracy, but additional studies are required to improve its performance and expand its application in ex vivo detection.

A meta-analysis of the diagnostic value of microRNA-1246 for malignant tumors.

Cancer morbidity and mortality are growing rapidly worldwide. There have been an increasing number of studies on the correlation between miRNA1246 expression in circulating blood and tumors; however, no comprehensive conclusion has been reached. Therefore, this meta-analysis was carried out to systematically evaluate the diagnostic value of blood levels of microRNA-1246 for malignant tumors. We searched PubMed, MEDLINE, Embase, The Cochrane Library, the China National Knowledge Internet (CNKI), and Wanfang databases from the inception of each database until November 2018. The quality of the included literature was evaluated using the quality assessment tool called Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The data were pooled using Stata14 and Meta-DiSc 1.4 software. Seven studies were included. The pooled sensitivity (SENS) was 0.80 (95% CI 0.65-0.89), the pooled specificity (SPEC) was 0.77 (95% CI 0.70-0.83), the pooled positive likelihood ratio (PLR) was 3.55 (95% CI 2.53-4.99), the pooled negative likelihood ratio (NLR) was 0.26 (95% CI 0.16-0.47), the pooled diagnostic odds ratio (DOR) was 13.78 (95% CI 5.84-32.5), and the area under the curve (AUC) was 0.83 (95% CI 0.79-0.86). The result of Deeks' funnel plot was P = 0.31, indicating a lack of publication bias. MicroRNA-1246 in the blood can be used as a good indicator for the diagnosis of malignant tumor diseases and has a moderate diagnostic accuracy for the differentiation of patients with malignant tumors from healthy people.

Clinicopathological Significance and Diagnostic Value of DLEC1 Hypermethylation in Lung Cancer: A Meta-analysis.

DLEC1 is a tumor-suppressor gene which plays a role in carcinogenesis. The purpose of the current study was to help establish the diagnostic performance of DLEC1 methylation in lung cancer. PubMed, Embase, CNKI, and Wanfang databases were searched to obtain eligible studies. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of the associations. The diagnostic value was assessed by the summary receiver operating characteristics test. A total of 7 articles, with 8 studies that included 673 lung cancer and 581 control samples, were collected in this meta-analysis. Our results showed a significant association of DLEC1 hypermethylation with lung cancer (P < 0.00001, OR = 13.93, 95% CI = 9.44-20.55). The frequency of DLEC1 methylation was significantly higher in squamous cell carcinoma (SCC) than adenocarcinoma (AC). Moreover, DLEC1 was more frequently methylated in patients with lung cancer aged 60 years or over, patients with lymphatic metastasis, or patients with stage III/IV lung cancer. In addition, there was a sensitivity value of 0.90 (95% CI = 0.86-0.93) and a specificity value of 0.60 (95% CI = 0.56-0.63), a pooled positive-likelihood ratio (PLR) of 2.27 (95% CI = 2.08-2.48), a pooled negative-likelihood ratio (NLR) of 0.17 (95% CI = 0.12-0.23), a diagnostic odds ratio (DOR) of 14.72 (10.09-21) and an area under the curve (AUC) of 0.8146 using DLEC1 methylation in the prediction of lung cancer risk. This meta-analysis confirms that DLEC1 methylation is a promising biomarker for lung cancer.

A simplified lung ultrasound for the diagnosis of interstitial lung disease in connective tissue disease: a meta-analysis

BackgroundInterstitial lung disease (ILD) is a common complication of connective tissue disease (CTD) and a leading cause of morbidity and mortality. There are various lung ultrasound (LUS) scoring systems with different lung intercostal spaces (LIS). The purpose of this meta-analysis was to find a simplified LUS method for the assessment of CTD-ILD.MethodsWe systematically retrieved lung ultrasound diagnostic studies on CTD-ILD in PubMed, Embase, and Web of Science databases. Summary diagnostic accuracy, including sensitivity, specificity, and area under the curve (AUC), was analyzed. Subgroup analysis was conducted according to different LIS and diseases.ResultsThe 11 studies included in this meta-analysis comprised a total of 487 patients with CTD. The pooled sensitivity and specificity of the LUS were 0.859 (95% confidence interval (CI) 0.812–0.898) and 0.839 (95% CI 0.782–0.886), respectively, illustrating its great value for CTD-ILD diagnosis. In addition, there were six methods to evaluate LIS, including 72, 65, 50, 14, 10, and all LIS. The pooled sensitivity and specificity of 14 LIS were 0.982 (95% CI 0.904–1.000) and 0.875 (95% CI 0.710–0.965), respectively. The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odd ratio (DOR) of 14 LIS were 7.297 (95% CI 6.050–17.45), 0.029 (95% CI 0.006–0.147), and 292.30 (95% CI 35.53–2403.8), respectively. Moreover, the AUC for systemic sclerosis (SSc) and rheumatoid arthritis (RA) was 0.929 and 0.981, respectively; the DOR for SSc and RA was 42.93 (95% CI 17.75–103.79) and 80.24 (95% CI 8.107–796.09), respectively.ConclusionsWe found a modified and simplified method of LUS, by scanning 14 LIS in a short time, which had a very high sensitivity and specificity.

Contrast-enhanced endoscopic ultrasound for the differential diagnosis between benign and malignant lymph nodes: a meta-analysis.

Background The differential diagnosis between benign and malignant lymph nodes (LNs) is crucial for patient management and clinical outcome. The use of contrast-enhanced endoscopic ultrasound (EUS) has been evaluated in several studies with diverse results. The aim of this meta-analysis was to evaluate the pooled diagnostic accuracy of contrast-enhanced EUS (CE-EUS) and contrast-enhanced harmonic EUS (CH-EUS) in this setting. Methods A systematic electronic search was performed, including all original papers dealing with assessment of the nature of the LNs using CE-EUS or CH-EUS. A meta-analysis was performed to obtain pooled sensitivity, specificity, positive and negative likelihood ratio, and diagnostic odds ratio. The Summary Receiver Operating Characteristic (ROC) Curve method was used to calculate the area under the curve. Statistical analysis was carried out using Meta-Disc V.1.4, Stata V.12.0 and Review Manager V.5.2. Results Among 210 pertinent studies, four (336 patients) were included in the analysis. The pooled sensitivity was 82.1 % (75.1 – 87.7 %) and pooled specificity was 90.7 % (85.9 – 94.3 %) with significant heterogeneity found in sensitivity; the positive-likelihood ratio (LR) was 7.77 (5.09 – 11.85) and the negative-LR was 0.15 (0.05 – 0.46); the pooled diagnostic odds ratio (DOR) was 54 (15 – 190). Subgroup analysis including studies performed using CH-EUS (two studies, 177 LNs) showed a pooled sensitivity of 87.7 % (77.0 – 93.9 %) and a pooled specificity of 91.8 % (84.5 % – 96.4 %) with no significant heterogeneity; the pooled positive-LR was 9.51 (4.95 – 18.28) and the pooled negative-LR was 0.14 (0.06 – 0.35); pooled DOR was 68.42 (15.5 – 301.4). Conclusions From these data, CE-EUS is not recommended due to inadequate sensitivity. On the other hand, CH-EUS studies showed optimal accuracy (pooled sensitivity 87.7 % and specificity 91.8 %), comparable to elastography and even EUS-guided fine needle aspiration (EUS-FNA), suggesting a role in the diagnostic algorithm.

MicroRNA-21 and microRNA-30c as diagnostic biomarkers for prostate cancer: a meta-analysis.

BackgroundProstate cancer (PCa) is the second leading cause of cancer death in men. Several articles have reported that microRNA-21 (miR-21) and microRNA-30c (miR-30c) have diagnostic values for PCa, but the results are inconclusive. In order to precisely assess the diagnostic values of miR-21 and miR-30c for PCa, this meta-analysis is performed.MethodsArticles were searched in the databases of PubMed, Embase, and Web of Knowledge (search date: September 6, 2018). Studies were included if they were designed to evaluate the diagnostic performance of miR-21 or miR-30c for PCa. Using Stata 12.0 and Meta-Disc 1.4, the pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under curve (AUC) of the summary receiver-operating characteristic (SROC) curve with the corresponding 95% CI were calculated.ResultsOverall, ten studies (six studies for miR-21 and four for miR-30c) involving1,371 participants were included in this meta-analysis. For miR-21, the pooled SEN and SPE were, respectively, 0.91 (95% CI: 0.87–0.94) and 0.88 (95% CI: 0.82–0.93), the pooled PLR and NLR were, respectively, 7.74 (95% CI: 4.81–12.47), 0.1 (95% CI: 0.06–0.15), the DOR was 77.64 (95% CI: 34.64–174.02), AUC of SROC was 0.95 (95% CI: 0.93–0.97). For miR-30c, the pooled SEN and SPE were, respectively, 0.74 (95% CI: 0.65–0.81) and 0.78 (95% CI: 0.72–0.83), the pooled PLR and NLR were, respectively, 3.39 (95% CI: 2.69–4.26), and 0.34 (95% CI: 0.26–0.44), the DOR was 10.06 (95% CI: 6.96–14.55), and AUC of SROC was 0.83 (95% CI: 0.79–0.86).ConclusionFor PCa, miR-21 is a good diagnostic biomarker and miR-30c is a moderate diagnostic biomarker.

Clinical utility of miniprobe endoscopic ultrasonography for prediction of invasion depth of early gastric cancer: A meta-analysis of diagnostic test from PRISMA guideline.

Recently, some studies assessed the clinical utility of miniprobe endoscopic ultrasonography for prediction of invasion depth of early gastric cancer (GC). However, the results remain inconsistent. We conducted a meta-analysis to assess the clinical utility of miniprobe endoscopic ultrasonography for diagnostic of invasion depth of early GC. We systematically searched several online electronic databases including PubMed, China National Knowledge Infrastructure, Web of Science, Embase, and Wanfang from initial library to July 20, 2018, identifying the study about miniprobe endoscopic ultrasonography for diagnostic of invasion depth of early GC. Bivariate mixed effects models were used to calculate the sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) with theirs 95% confidence intervals (CIs). Nineteen studies with 3401 patients were included in the meta-analysis. The bivariate mixed effect model indicated that the overall diagnostic sensitivity was 0.86 (95%CI: 0.79-0.91) and the specificity was 0.73 (95%CI: 0.66-0.78). The area under the curve was 0.84 (95%CI: 0.81-0.87). We also estimated the other pooled parameters as follows: the pooled PLR was 3.13 (95%CI: 2.55-3.84), the pooled NLR was 0.19 (95%CI: 0.13-0.28), the diagnostic score was 2.78 (95%CI: 2.33-3.23), and the diagnostic odds ratio was 16.1 (95%CI: 10.23-25.36). Subgroup analysis indicated that ethnicity may be the decisive factor on heterogeneity. The present study indicated that the miniprobe endoscopic ultrasonography had a moderate diagnostic ability for invasion depth of early GC. The diagnostic utility was influenced by ethnicity. Further research is required to confirm the present findings and explore the potential factors of heterogeneity.

Diagnostic Performance of Apparent Diffusion Coefficient for Prediction of Grading of Pancreatic Neuroendocrine Tumors: A Systematic Review and Meta-analysis.

The aim of this study was to evaluate the diagnostic value of apparent diffusion coefficient (ADC) for the World Health Organization grade of pancreatic neuroendocrine tumors (pNETs). The MEDLINE, Google Scholar, PubMed, and Embase databases were searched to identify relevant original articles investigating the ADC value in predicting the grade of pNETs. The pooled sensitivity (SE), specificity (SP), positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were calculated by using random effects models. Subgroup analysis was performed to discover heterogeneity effects. Nine studies with 386 patients met our inclusion criteria. For identifying G1 from G2/3, the pooled SE, SP, PLR, NLR, and area under the curve of the summary receiver operating characteristic curve were 0.84 (95% confidence interval [95% CI], 0.73-0.91), 0.87 (95% CI, 0.72-0.94), 6.3 (95% CI, 2.7-14.6), 0.19 (95% CI, 0.10-0.34), and 0.91 (95% CI, 0.89-0.94), respectively. The summary estimates for ADC in distinguishing G3 from G1/2 were as follows: SE, 0.93 (95% CI, 0.66-0.99); SP, 0.92 (95% CI, 0.86-0.95); PLR, 11.1 (95% CI, 6.6-18.6); NLR, 0.08 (95% CI, 0.01-0.45); and area under the curve, 0.92 (95% CI, 0.85-0.96). Diffusion-weighted imaging is a reliable tool for predicting the grade of pNETs, especially for G3. Moreover, the combination of 3.0-T device and higher b value can slightly help improve SE and SP.

Additional diagnostic value of new CT imaging techniques for the functional assessment of coronary artery disease: a meta-analysis.

To determine the diagnostic performance of cardiac computed tomography (CT)-based modalities including coronary CT angiography (CTA), stress myocardial CT perfusion (stress CTP), computer simulation of fractional flow reserve by CT (FFRCT), and transluminal attenuation gradients (TAG), for the diagnosis of hemodynamic significant coronary artery disease (CAD), using invasive fractional flow reserve as the reference standard. PubMed and Cochrane databases were searched for original articles until July 2018. Diagnostic accuracy results were pooled at per-patient and per-vessel level using random effect models. Fifty articles were included in the meta-analysis (3024 subjects). The per-patient analysis per imaging modality demonstrated a pooled positive likelihood ratio (PLR) of 1.78 (95% confidence interval CI 1.49-2.11), 4.58 (95% CI 3.54-5.91), and 3.45 (95% CI 2.38-5.00) for CTA, stress CTP, and FFRCT respectively. Per-patient specificity of stress CTP (82%, 95% CI 76-86) and FFRCT (72%, 95% CI 68-76) were higher than for CTA (48%, 95% CI 44-51). At the vessel level, PLR was 2.42 (95% CI 1.93-3.02), 7.72 (95% CI 5.50-10.83), 3.50 (95% CI 2.73-4.78), 1.97 (95% CI 1.32-2.93) for CTA, stress CTP, FFRCT, and TAG respectively. With improved PLR and specificity, stress CTP and FFRCT have incremental value over CTA for the detection of functionally significant CAD. • New functional CT imaging techniques, such as stress CTP and FFRCT, improve diagnostic accuracy of coronary CTA to predict hemodynamically relevant stenosis. • TAG yields poor diagnostic performance. • Combination of CTA and some functional CT techniques (stress CTP and FFRCT) might become a "must" to improve diagnostic accuracy of CAD and to reduce unnecessary invasive coronary angiography.

Predictive Validity of Hypodensities on Noncontrast Computed Tomography for Hematoma Growth in Intracerebral Hemorrhage: a Meta-Analysis

Intracerebral hemorrhage (ICH) is a type of stroke that leads to high mortality. Hematoma growth (HG) happens in about one third of all patients with ICH and is independently related to poor outcome. Previous studies have shown that an indicator on noncontrast computed tomography, called hypodensities, can predict HG in patients with ICH. Thus, this study was done to assess the predictive validity of this marker. Bibliographic databases were searched, without language restriction, for original investigation on hypodensities and HG in ICH. Data were extracted, and study quality was assessed by 2 reviewers independently. Pooled sensitivity, specificity, positive likelihood ratio (LR), negative LR, diagnostic odds ratio, and their 95% confidence intervals (CIs) were obtained. A summary receiver operating characteristic curve was depicted. Five cohorts with 2157 patients in 4 studies were included in the present meta-analysis. The pooled sensitivity was 0.58 (95% CI 0.46-0.68) and the pooled specificity was 0.71 (95% CI 0.62-0.79). In addition, the pooled positive LR was 2.0 (95% CI 1.6-2.5) and the pooled negative LR was 0.60 (95% CI 0.49-0.73). The pooled diagnostic odds ratio was 3 (95% CI 2-5) and the area under summary receiver operating characteristic curve was 0.69 (95% CI 0.65-0.73). This study suggests that hypodensities on noncontrast computed tomography can be helpful in HG prediction, although its pooled predictive values are not very satisfying in the current study. The role of hypodensities in predicting HG should be confirmed by further studies.

A systematic review and meta-analysis of the Kwak TIRADS for the diagnostic assessment of indeterminate thyroid nodules

To explore the diagnostic usefulness of the Thyroid Imaging Reporting and Data System (TIRADS) classification proposed by Kwak in indeterminate nodules using a systematic literature review. The PubMed, Cochrane database, ScienceDirect, and EMBASE databases were searched for relevant articles. A meta-analysis was performed to calculate pooled sensitivity, specificity, negative and positive likelihood ratios (LR- and LR+), diagnostic odds ratio (DOR), and area under the curve (AUC) from summarised receiver operating characteristic (SROC) curves. Six publications describing 1,096 nodules were analysed. Overall pooled sensitivity, specificity, LR+, LR-, DOR, and AUC for SROC were 0.913, 0.347, 1.396, 0.341, 5.832, and 0.7180, respectively. Kwak TIRADS classification with 3/4a cut-off for indeterminate lesions has high sensitivity but low specificity to exclude benign lesions. A higher Kwak TIRADS cut-off could help exclude larger numbers of benign lesions and lower the rate of unnecessary surgeries.

Staging/restaging performance of F18-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging in breast cancer: A review and meta-analysis

PurposeThis systematic review and meta-analysis was performed to assess the staging/restaging performance of F18-fluorodeoxyglucose (FDG) positron emission tomography (PET)/magnetic resonance imaging (MRI) in breast cancer. MethodsA comprehensive search was performed in PubMed databases for studies reporting the staging performance of F18-FDG PET/MRI in breast cancer from the inception of these databases to January 29, 2018. Eight studies were included in this systematic review and meta-analysis. Pooled estimates of patient- and lesion-based sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) of F18-FDG PET/MRI were calculated alongside 95% confidence intervals (CIs). A summary receiver operating characteristic curve (SROC) was plotted and the area under the SROC curve (AUC) was determined alongside the Q* index. ResultsThe patient-based overall pooled sensitivity, specificity, PLR, NLR, DOR, and AUC of F18-FDG PET/MRI for staging in breast cancer were 0.98 (95% CI, 0.95–0.99), 0.87 (95% CI, 0.76–0.95), 4.59 (95% CI, 1.91–11.05), 0.03 (95% CI, 0.01–0.09), 203.07 (95% CI, 50.33–819.38), and 0.99, respectively. The lesion-based overall pooled sensitivity, specificity, PLR, NLR, DOR, and AUC of F18-FDG PET/MRI for staging in breast cancer were 0.91 (95% CI, 0.88–0.94), 0.95 (95% CI, 0.92–0.97), 11.28 (95% CI, 4.25–29.96), 0.07 (95% CI, 0.02–0.22), 286.46 (95% CI, 64.15–1279.17), and 0.99, respectively. The overall diagnostic accuracies (Q* index) of the staging performance of F18-FDG PET/MRI in breast cancer were 0.96 (patient-based analysis) and 0.95 (lesion-based analysis). ConclusionF18-FDG PET/MRI has excellent diagnostic staging/restaging performance in patients with breast cancer, and thus should be considered for staging of patients with breast cancer.

Clinical utility of arterial spin labeling for preoperative grading of glioma.

There were obvious differences in biological behavior and prognosis between low- and high-grade gliomas, it is of great importance for clinicians to make a right judgement for preoperative grading. We conducted a comprehensive meta-analysis to evaluate the clinical utility of arterial spin labeling for preoperative grading. We searched the PubMed, Embase, China National Knowledge Infrastructure, and Weipu electronic databases for articles published through 10 November 2017 and used ‘arterial spin-labeling’ or ‘ASL perfusion, grading’ or ‘differentiation, glioma’ or ‘glial tumor, diagnostic test’ as the search terms. A manual search of relevant original and review articles was performed to identify additional studies. The meta-analysis included nine studies. No obvious heterogeneity was found in the data in a fixed-effect model. The pooled sensitivity and specificity were 90% (95% confidence interval (CI): 0.84–0.94) and 91% (95% CI: 0.83–0.96), respectively, and the pooled positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 10.40 (95% CI: 2.21–20.77) and 0.11 (95% CI: 0.07–0.18). The diagnostic odds ratio (DOR) was 92.47 (95% CI: 39.61–215.92). The diagnostic score was 4.53 (95% CI: 3.68–5.38). The area under the curve (AUC) was 0.94 (95% CI: 0.91–0.96). Subgroup analyses did not change the pooled results. No publication bias was found (P=0.102). The normalized maximal tumor blood flow/normal white matter ratio obtained with the arterial spin labeling technique was relatively accurate for distinguishing high/low-grade glioma. As a non-invasive procedure with favorable repeatability, this index may be useful for clinical diagnostics.

Cerebrospinal fluid NFL in the differential diagnosis of parkinsonian disorders: A meta-analysis

Neurofilament light chain (NFL) in cerebrospinal fluid (CSF) is a promising biomarker candidate which may discriminate atypical parkinsonian disorders (APD), mainly including multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD), from Parkinson’s disease (PD). We aim to evaluate the diagnostic accuracy of CSF NFL level as a differentiating biomarker between APD and PD. Databases of PubMed, OVID and Web of Science were searched for studies (published until May 31, 2017) that reported on CSF NFL as a diagnostic biomarker between APD and PD. Eight studies were pooled in this meta-analysis, including 341 PD and 396 APD patients and 388 healthy controls. The pooled sensitivity was 82% (95% CI, 68%–91%) and specificity was 85% (95% CI, 79%–89%) in differentiating APD from PD. The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR) were 5.4 (95% CI, 3.6%–8.1%), 0.21 (95% CI, 0.11%–0.40%), and 25 (95% CI, 9%–69%) respectively; and the area under the curve (AUC) was 0.89 (95% CI, 0.86%-0.91%). Subgroup analysis revealed sensitivity and specificity were significantly influenced by study design. The APD subtypes, disease duration and severity were the main heterogeneity sources in specificity. The results of Deeks’ test revealed a low risk of publication bias. The CSF NFL level may be used as a biomarker in discriminating APD from PD with high diagnostic accuracy at an early stage of disease. Large and longitudinal studies are still needed on individuals who are suspected to have APD.

Optic nerve sheath diameter measured sonographically as non-invasive estimator of intracranial pressure: a systematic review and meta-analysis.

Although invasive intracranial devices (IIDs) are the gold standard for intracranial pressure (ICP) measurement, ultrasonography of the optic nerve sheath diameter (ONSD) has been suggested as a potential non-invasive ICP estimator. We performed a meta-analysis to evaluate the diagnostic accuracy of sonographic ONSD measurement for assessment of intracranial hypertension (IH) in adult patients. We searched on electronic databases (MEDLINE/PubMed®, Scopus®, Web of Science®, ScienceDirect®, Cochrane Library®) until 31 May 2018 for comparative studies that evaluated the efficacy of sonographic ONSD vs. ICP measurement with IID. Data were extracted independently by two authors. We used the QUADAS-2 tool for assessing the risk of bias (RB) of each study. A diagnostic meta-analysis following the bivariate approach and random-effects model was performed. Seven prospective studies (320 patients) were evaluated for IH detection (assumed with ICP > 20mmHg or > 25 cmH2O). The accuracy of included studies ranged from 0.811 (95% CI 0.678‒0.847) to 0.954 (95% CI 0.853‒0.983). Three studies were at high RB. No significant heterogeneity was found for the diagnostic odds ratio (DOR), positive likelihood ratio (PLR) and negative likelihood ratio (NLR), with I2 < 50% for each parameter. The pooled DOR, PLR and NLR were 67.5 (95% CI 29‒135), 5.35 (95% CI 3.76‒7.53) and 0.088 (95% CI 0.046‒0.152), respectively. The area under the hierarchical summary receiver-operating characteristic curve (AUHSROC) was 0.938. In the subset of five studies (275 patients) with IH defined for ICP > 20mmHg, the pooled DOR, PLR and NLR were 68.10 (95% CI 26.8‒144), 5.18 (95% CI 3.59‒7.37) and 0.087 (95% CI 0.041‒0.158), respectively, while the AUHSROC was 0.932. Although the wide 95% CI in our pooled DOR suggests caution, ultrasonographic ONSD may be a potentially useful approach for assessing IH when IIDs are not indicated or available (CRD42018089137, PROSPERO).

Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis.

AIMTo perform a systematic review and meta-analysis for the diagnostic accuracy of in vivo lesion characterization in colonic inflammatory bowel disease (IBD), using optical imaging techniques, including virtual chromoendoscopy (VCE), dye-based chromoendoscopy (DBC), magnification endoscopy and confocal laser endomicroscopy (CLE).METHODSWe searched Medline, Embase and the Cochrane library. We performed a bivariate meta-analysis to calculate the pooled estimate sensitivities, specificities, positive and negative likelihood ratios (+LHR, -LHR), diagnostic odds ratios (DOR), and area under the SROC curve (AUSROC) for each technology group. A subgroup analysis was performed to investigate differences in real-time non-magnified Kudo pit patterns (with VCE and DBC) and real-time CLE.RESULTSWe included 22 studies [1491 patients; 4674 polyps, of which 539 (11.5%) were neoplastic]. Real-time CLE had a pooled sensitivity of 91% (95%CI: 66%-98%), specificity of 97% (95%CI: 94%-98%), and an AUSROC of 0.98 (95%CI: 0.97-0.99). Magnification endoscopy had a pooled sensitivity of 90% (95%CI: 77%-96%) and specificity of 87% (95%CI: 81%-91%). VCE had a pooled sensitivity of 86% (95%CI: 62%-95%) and specificity of 87% (95%CI: 72%-95%). DBC had a pooled sensitivity of 67% (95%CI: 44%-84%) and specificity of 86% (95%CI: 72%-94%).CONCLUSIONReal-time CLE is a highly accurate technology for differentiating neoplastic from non-neoplastic lesions in patients with colonic IBD. However, most CLE studies were performed by single expert users within tertiary centres, potentially confounding these results.

Diagnostic value of WIF1 methylation for colorectal cancer: a meta-analysis.

As a common antagonist of Wnt/β-catenin signaling, Wnt inhibitory factor 1 (WIF1) plays an important role in the tumor progression. The aim of our meta-analysis was to summarize the diagnostic value of WIF1 methylation in colorectal cancer (CRC). Eligible studies were retrieved by a systemic search among PubMed, Embase, CNKI, and Wanfang literature databases. The diagnostic value of WIF1 methylation for CRC was assessed by the summary receiver operating characteristics (SROC) test. Our meta-analysis of 12 studies between 1420 CRC samples and 946 control samples showed that WIF1 hypermethylation was significantly associated with CRC (P < 0.001, OR = 30.10, 95% CI = 19.48-46.50). WIF1 hypermethylation, as a diagnostic biomarker for CRC, has a pooled sensitivity of 0.40 (95% CI: 0.37-0.42), a pooled specificity of 0.95 (95% CI: 0.93-0.96), a pooled positive-likelihood ratio (PLR) of 8.65 (95% CI, 4.47-16.73), and a pooled negative-likelihood ratio (NLR) of 0.41 (95% CI, 0.30-0.55), a diagnostic odds ratio (DOR) of 26.86 (95% CI: 15.73-45.89), and an area under the curve (AUC) of 0.9115. In conclusion, our study established that WIF1 hypermethylation might be a promising diagnostic biomarker for CRC.