18F-FDOPA与18F-FDG PET/CT诊断脑肿瘤的系统评价

目的 系统评价18F-FDOPA与18F-FDG PET/CT显像在脑肿瘤诊断中的临床价值.方法 采用Meta分析与直接比较方法.使用计算机检索中国期刊全文数据库、中文科技期刊数据库、万方数据库、中国生物医学文献数据库、PubMed、Embase、The Cochrane Library,从建库至2016年10月,搜索直接比较18F-FDOPA与18F-FDG PET/CT诊断脑肿瘤的诊断性试验.用Meta-Disc 1.4软件进行分析,计算两种不同显像剂的合并敏感度(sensitivity,SEN)、合并特异度(specificity,SPE)、合并阳性似然比(positive likelihood ratio,+LR)、合并阴性似然比(negative likelihood ratio,-LR)、诊断优势比(diagnostic odds ratio,DOR),并绘制综合受试者工作特征曲线计算曲线下面积(area under curve,AUC)与Q*值.结果 最终共纳入4篇文章,Meta 分析结果显示,18F-FDOPA PET/CT对脑肿瘤诊断的合并SEN为0.97(95％ CI =0.90 ～ 1.00),SPE为0.67(95％ CI =0.45 ～0.84),+LR为2.31 (95％ CI=1.40 ～3.81),-LR为0.07 (95％ CI =0.02～ 0.24),DOR为39.72(95％ CI=8.94～176.48),AUC为0.9725,Q*为0.9239.18F-FDG PET/CT对脑肿瘤诊断的合并SEN为0.51(95％CI=0.39～0.63),SPE为0.75(95％ CI=0.53 ～0.90,+LR为l.59(95％ CI=0.70 ～ 3.61),-LR为0.63(95％ CI =0.47 ～0.86),DOR为2.55(95％ CI =0.82 ～7.92),AUC为0.5848,Q*为0.5638.结论 18F-FDOPA PET/CT显像诊断脑肿瘤的敏感性比18F-FDG高,对脑肿瘤具有良好的诊断价值,可作为脑肿瘤诊断的方法之一.     

MRS在脑内占位病变诊断中的应用

目的评价MRS对颅内占位性病变的临床应用价值。方法采用3DPRESS序列,结合MRI对52例经手术/立体定向活检或临床随诊证实的脑内占位及肿瘤术后复发患者进行扫描。结果52例患者中,肿瘤38例,诊断正确率为89.5%(34/38),14例非肿瘤病变,诊断正确率为78.6%(11/14)。胶质瘤的MRSI表现为Cho升高,NAA消失或明显降低,肿瘤实质及中央坏死区Lac升高,周围脑组织有相似改变;转移瘤MRS表现为Cho明显升高,NAA及Cr消失或明显降低,Lac升高,而瘤旁脑组织MRS波形正常或有轻度改变;淋巴瘤显示Cho升高,NAA中度降低,Lac升高,Lip峰的出现为其特征,瘤周MRS正常;脱髓鞘病变NAA轻至中度降低,Lac出现,而Cr无明显变化。放疗后反应MRS各代谢峰明显降低或消失,Cho下降幅度较NAA及Cr为小,随时间延长下降幅度明显增加,至放射性坏死时,各波峰均消失。脑脓肿MRS表现为Lac升高,在2.0ppm出现复合峰,NAA峰消失,Cho及Cr降低,而脓肿旁脑组织MRS正常。结论MRS作为无创性的诊断手段,对脑内病变的鉴别诊断及病变范围的确定有重要作用。     

Diagnostic accuracy of apparent diffusion coefficient (ADC) value in differentiating malignant from benign solid liver lesions: a systematic review and meta-analysis

Objectives:We undertook a systematic review and meta-analysis of the diagnostic performance of mean apparent diffusion coefficient (ADC) values derived by diffusion-weighted (DW)-MRI in the characterization of solid benign and malignant liver lesions, and to assess their value in discriminating these lesions in daily routine practice.Methods:A systematic review of PubMed, Embase, Scopus, and Web of Science was conducted to retrieve studies that used ADC values for differentiating solid benign/dysplastic nodules and malignant liver lesions. A bivariate random-effects model with pooled sensitivity and specificity values with 95% CI (confidence interval) was used. This meta-analysis was performed on the per-lesion basis. Summary receiver operating characteristic (SROC) plot and area under curve (AUC) were created.Results:A total of 14 original articles were retrieved. The combined (95% CI) sensitivity and specificity of mean ADC values for differentiating solid benign from malignant lesions were 78% (67–86%) and 74% (64–81%), respectively. The pooled (95% CI) positive and negative LRs were respectively 3 (2.3–3.8) and 0.3 (0.21–0.43). The DOR (95% CI) was 10 (7–15). The AUC (95% CI) of the SROC plot was 82% (78–85%). Reporting bias was negligible (p value of regression test = 0.36). Mean size of malignant lesions and breathing pattern of MRI were found to be sources of heterogeneity of pooled sensitivity.Conclusion:ADC measurement independently may not be an optimal diagnostic imaging method for differentiating solid malignant from solid benign hepatic lesions. The meta-analysis showed that ADC measurement had moderate diagnostic accuracy for characterizing solid liver lesions. Further prospective and comparative studies with pre-specified ADC thresholds could be performed to investigate the best MRI protocol and ADC threshold for characterizing solid liver lesions.Advances in knowledge:ADC measurement by DW-MRI does not have a good diagnostic performance to differentiate solid malignant from solid benign lesions. Therefore, we suggest not using ADC values in clinical practice to evaluate solid liver lesions.     

磁共振波谱成像对颞叶癫痫定侧诊断价值的Meta分析

目的利用Meta分析的方法评价磁共振波谱成像(MRS)对颞叶癫痫(TLE)定侧的诊断价值。方法通过中国生物医学文献服务系统、中国知网、万方数据平台、维普网、Ovid检索平台、PubMed及Cochrane图书馆网进行检索,搜索关于MRS对颞叶癫痫定侧诊断价值的文献,应用Meta-Disc1.4软件进行Meta分析,合并计算敏感性、特异性、诊断比值比,绘制汇总受试者工作特征曲线。结果共纳入6篇文献(3篇中文,3篇英文),共计194例患者。Meta分析结果显示,MRS对颞叶癫痫定侧诊断的合并敏感性为0.84(95%CI:0.78~0.89)、合并特异性为0.87(95%CI:0.70~0.96)、诊断比值比为28.59(95%CI:9.47~86.33)、汇总受试者工作特征曲线下面积为0.9137。结论在诊断颞叶癫痫定侧方面,MRS具有较高的诊断准确性,可作为颞叶癫痫定侧有效可行的方法。     

Meta‐analysis of diffusion‐weighted MRI in the differential diagnosis of lung lesions

Purpose:

To perform a meta‐analysis to evaluate the diagnostic performance of the diffusion‐weighted imaging (DWI) technique in differentiating malignant from benign lung lesions.

Materials and Methods:

Medical and scientific literature databases were searched for studies that assessed the diagnostic performance of DWI in patients suspected of lung cancer who underwent DWI and biopsy. Only studies in the English or Chinese language and published before September 2011 were considered for inclusion. Methodological quality was assessed by the Quality Assessment of Diagnostic Studies (QUADAS) instrument. Homogeneity was explored by the Chi‐square test and inconsistency index. Sensitivities (SEN), specificities, predictive values, diagnostic odds ratio (dOR), and areas under the receiver operator characteristic (ROC) curve were calculated. Potential threshold effect was investigated by using Spearman's correlation coefficient. Publication bias analysis was evaluated by Deeks' asymmetry test.

Results:

Of 33 eligible studies, 11 were included in the meta‐analysis, comprising 755 malignant and 294 benign lesions. Heterogeneity was found to have arisen primarily from threshold effect. The data points from the Deeks' funnel plot indicated the presence of publication bias. Methodological quality was moderate. The pooled weighted SEN with corresponding 95% confidence interval (CI) was 0.80 (95% CI: 0.76, 0.83), SPE was 0.93 (95% CI: 0.91, 0.95), positive likelihood ratio was 9.24 (95% CI: 3.58, 23.83), negative likelihood ratio was 0.24 (95% CI: 0.19, 0.29), and dOR was 46.14 (95% CI: 27.56, 77.26). The area under the ROC curve was 0.91 (95% CI: 0.89, 0.93).

Conclusion:

DWI is a noninvasive, nonradiative, and accurate technique for distinguishing between malignant and benign lung lesions. However, large‐scale randomized control trials are necessary to assess its clinical value and to establish standards of DWI for measurement, analysis, and cutoff values of diagnosis. J. Magn. Reson. Imaging 2013;37:1351–1358. © 2013 Wiley Periodicals, Inc.     

Distinction between glioma progression and post-radiation change by combined physiologic MR imaging

Introduction

Magnetic resonance (MR) diffusion-weighted imaging (DWI), dynamic susceptibility contrast-enhanced perfusion imaging (DSC), and MR spectroscopy (MRS) techniques provide specific physiologic information that may distinguish malignant glioma progression from post-radiation change, yet no single technique is completely reliable. We propose a simple, multiparametric scoring system to improve diagnostic accuracy beyond that of each technique alone.

Methods

Fifteen subjects with lesions suspicious for glioma progression following radiation therapy who had also undergone 3-tesla DWI, DSC, and MRS studies of the lesion were retrospectively reviewed. Minimum apparent diffusion coefficient (ADC) ratio, maximum regional cerebral blood volume (rCBV) ratio, and maximum MRS choline/creatine (Cho/Cr) and choline/N-acetyl-aspartate (Cho/NAA) metabolic peak-height ratios were quantified within each lesion. Each parameter (ADC ratio, rCBV ratio, and combined Cho/Cr and Cho/NAA ratios) was scored as either glioma progression (one point) or radiation change (zero point) based upon thresholds derived from our own data. For each lesion, the combined parameters yielded a multiparametric score (0 to 3) for prediction of tumor progression or post-radiation change.

Results

Optimum thresholds for ADC ratio (1.30), rCBV ratio (2.10), and either combined Cho/Cr (1.29) and Cho/NAA (1.06) yielded diagnostic accuracies of 86.7%, 86.7%, and 84.6%, respectively (p?<?0.05). A combined multiparametric score threshold of 2 improved diagnostic accuracy to 93.3% (p?<?0.05).

Conclusion

In this small series combining 3-T DWI, DSC, and MRS diagnostic results using a simple, multiparametric scoring system has potential to improve overall diagnostic accuracy in distinguishing glioma progression from post-radiation change beyond that of each technique alone.     

Accuracy of Digital Breast Tomosynthesis for Detecting Breast Cancer in the Diagnostic Setting: A Systematic Review and Meta-Analysis

ObjectiveTo compare the accuracy for detecting breast cancer in the diagnostic setting between the use of digital breast tomosynthesis (DBT), defined as DBT alone or combined DBT and digital mammography (DM), and the use of DM alone through a systematic review and meta-analysis.Materials and MethodsOvid-MEDLINE, Ovid-Embase, Cochrane Library and five Korean local databases were searched for articles published until March 25, 2020. We selected studies that reported diagnostic accuracy in women who were recalled after screening or symptomatic. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. A bivariate random effects model was used to estimate pooled sensitivity and specificity. We compared the diagnostic accuracy between DBT and DM alone using meta-regression and subgroup analyses by modality of intervention, country, existence of calcifications, breast density, Breast Imaging Reporting and Data System category threshold, study design, protocol for participant sampling, sample size, reason for diagnostic examination, and number of readers who interpreted the studies.ResultsTwenty studies (n = 44513) that compared DBT and DM alone were included. The pooled sensitivity and specificity were 0.90 (95% confidence interval [CI] 0.86–0.93) and 0.90 (95% CI 0.84–0.94), respectively, for DBT, which were higher than 0.76 (95% CI 0.68–0.83) and 0.83 (95% CI 0.73–0.89), respectively, for DM alone (p < 0.001). The area under the summary receiver operating characteristics curve was 0.95 (95% CI 0.93–0.97) for DBT and 0.86 (95% CI 0.82–0.88) for DM alone. The higher sensitivity and specificity of DBT than DM alone were consistently noted in most subgroup and meta-regression analyses.ConclusionUse of DBT was more accurate than DM alone for the diagnosis of breast cancer. Women with clinical symptoms or abnormal screening findings could be more effectively evaluated for breast cancer using DBT, which has a superior diagnostic performance compared to DM alone.     

Comparison of 3 Tesla proton MR spectroscopy, MR perfusion and MR diffusion for distinguishing glioma recurrence from posttreatment effects

Purpose:

To compare 3 Tesla (3T) multi‐voxel and single‐voxel proton MR spectroscopy (MRS), dynamic susceptibility contrast perfusion MRI (DSC), and diffusion‐weighted MRI (DWI) for distinguishing recurrent glioma from postradiation injury.

Materials and Methods:

We reviewed all 3T MRS, DSC and DWI studies performed for suspicion of malignant glioma recurrence between October 2006 and December 2008. Maximum Cho/NAA and Cho/Cr peak‐area and peak‐height ratios were recorded for both multi‐voxel and single‐voxel MRS. Maximum cerebral blood volume (CBV) and minimum apparent diffusion coefficient (ADC) were normalized to white matter. Histopathology and clinical‐radiologic follow‐up served as reference standards. Receiver operating characteristic curves for each parameter were compared.

Results:

Forty lesions were classified as glioma recurrence (n = 30) or posttreatment effect (n = 10). Diagnostic performance was similar for CBV ratio (AUC = 0.917, P < 0.001), multi‐voxel Cho/Cr peak‐area (AUC = 0.913, P = 0.002), and multi‐voxel Cho/NAA peak‐height (AUC = 0.913, P = 0.002), while ADC ratio (AUC = 0.726, P = 0.035) did not appear to perform as well. Single‐voxel MRS parameters did not reliably distinguish tumor recurrence from posttreatment effects.

Conclusion:

A 3T DSC and multi‐voxel MRS Cho/Cr peak‐area and Cho/NAA peak‐height appear to outperform DWI for distinguishing glioma recurrence from posttreatment effects. Single‐voxel MRS parameters do not appear to distinguish glioma recurrence from posttreatment effects reliably, and therefore should not be used in place of multi‐voxel MRS. J. Magn. Reson. Imaging 2012;35:56‐63. © 2011 Wiley Periodicals, Inc.     

A meta-analysis of the accuracy of prostate cancer studies which use magnetic resonance spectroscopy as a diagnostic tool

OBJECTIVE: We aimed to do a meta-analysis of the existing literature to assess the accuracy of prostate cancer studies which use magnetic resonance spectroscopy (MRS) as a diagnostic tool. MATERIALS AND METHODS: Prospectively, independent, blind studies were selected from the Cochrane library, Pubmed, and other network databases. The criteria for inclusion and exclusion in this study referenced the criteria of diagnostic research published by the Cochrane center. The statistical analysis was adopted by using Meta-Test version 6.0. Using the homogeneity test, a statistical effect model was chosen to calculate different pooled weighted values of sensitivity, specificity, and the corresponding 95% confidence intervals (95% CI). The summary receiver operating characteristic (SROC) curves method was used to assess the results. RESULTS: We chose two cut-off values (0.75 and 0.86) as the diagnostic criteria for discriminating between benign and malignant. In the first diagnostic criterion, the pooled weighted sensitivity, specificity, and corresponding 95% CI (expressed as area under curve [AUC]) were 0.82 (0.73, 0.89), 0.68 (0.58, 0.76), and 83.4% (74.97, 91.83). In the second criterion, the pooled weighted sensitivity, specificity, and corresponding 95% CI were 0.64 (0.55, 0.72), 0.86 (0.79, 0.91) and 82.7% (68.73, 96.68). CONCLUSION: As a new method in the diagnostic of prostate cancer, MRS has a better applied value compared to other common modalities. Ultimately, large scale RCT (randomized controlled trial) randomized controlled trial studies are necessary to assess its clinical value.     

Differentiation between high-grade glioma and metastatic brain tumor using single-voxel proton MR spectroscopy

The purpose of this study was to clarify the efficacy of single-voxel proton magnetic resonance spectroscopy (MRS) in differentiating high-grade glioma from metastasis. Thirty-one high-grade gliomas (11 anaplastic gliomas and 20 glioblastomas) and 25 metastases were studied. Proton MRS was performed using point-resolved spectroscopy with echo times (TEs) of both 136 and 30 ms. The peaks for lipid were evaluated at short TE, and those for N-acetyl-aspartate (NAA), creatine (Cr), and choline-containing compounds (Cho) were assessed at long TE. All the tumors exhibited a strong Cho peak at long TE. Twenty-one of 25 metastases showed no definite Cr peak. The remaining 4 metastases showed NAA and Cr peaks; however, the presence of NAA and relatively high NAA/Cr ratio (1.58+/-0.56) indicated normal brain contamination. All the gliomas, except for a single glioblastoma, showed a Cr peak with (n=16) or without (n=14) NAA. At short TE all metastases and glioblastomas showed definite lipid or lipid/lactate mixture, but anaplastic gliomas showed no definite lipid signal. Intratumoral Cr suggests glioma. Absence of Cr indicates metastasis. Definite lipid signal indicates cellular necrosis in glioblastoma and metastasis, and no lipid signal may exclude metastases.     

The diagnostic value of intravoxel incoherent motion imaging in differentiating high-grade from low-grade gliomas: a systematic review and meta-analysis

Objective:This meta-analysis was carried out for assessing the accuracy of intravoxel incoherent motion (IVIM) parameters true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) in differentiating low-grade gliomas (LGGs) from high-grade gliomas (HGGs).Methods:Literatures concerning IVIM in the grading of brain gliomas published prior to October 20, 2020, searched in the Embase, PubMed, and Cochrane library. Use the quality assessment of diagnostic accuracy studies 2 (QUADAS 2) to evaluate the quality of studies. We estimated the pooled sensitivity, specificity, and the area under the summary ROC (SROC) curve to identification the accuracy of IVIM parameters D, D*, and f evaluation in grading gliomas.Results:Totally, 6 articles including 252 brain gliomas conform to the inclusion criteria. The pooled sensitivity of parameters D, D*, and f derived from IVIM were 0.85 (95%Cl, 0.76–0.91), 0.78 (95%Cl, 0.71–0.85), and 0.89 (95%Cl, 0.76–0.96), respectively. The pooled specificity were 0.78 (95%Cl, 0.60–0.90), 0.68 (95%Cl, 0.56–0.79), and 0.88 (95%Cl, 0.76–0.94), respectively. Meanwhile, the AUC of SROC curve were 0.89 (95%Cl, 0.86–0.92) , 0.81 (95%Cl, 0.77–0.84), and 0.94 (95%Cl, 0.92–0.96), respectively.Conclusion:This meta-analysis suggested that IVIM parameters D, D*, and f have moderate or high diagnosis value accuracy in differentiating HGGs from LGGs, and the parameter f has greater sensitivity and specificity. Standardized methodology is warranted to guide the use of this method for clinical decision-making. However, more clinical studies are needed to prove our view.Advances in knowledge:IVIM parameter f showed greater sensitivity and specificity, as well as excellent performance than parameter D* and D.     

Value of SPECT/CT in the diagnosis of avascular necrosis of the head of femur: A meta-analysis

IntroductionTo evaluate the diagnostic value of single photon emission computed tomography/computed tomography (SPECT/CT) in patients with avascular necrosis (AVN) of the femoral head.MethodsA search of the databases PubMed, ScienceDirect, and Google Scholar was undertaken using targeted index word. Studies satisfying inclusions and exclusions criteria were identified and additional related literature sources were considered. Analysis included pooled sensitivity and specificity, odds ratio (OR), and receiver operating characteristic (ROC) analysis.ResultsSeven studies were identified that specifically related to the diagnostic accuracy of SPECT/CT in the detection or characterisation of AVN of the femoral head. These were included in the meta-analysis. The pooled sensitivity and specificity were 94% (95% confidence interval of 87–97%) and 75% (95% confidence interval of 68–81%) respectively, the OR was 44.5 (with a 95% confidence interval of 18.2–108.6), and the area under the SROC was 93.73% (with a 95% confidence interval of 89.2%–98.3%).ConclusionThis meta-analysis provides strong evidence of the high diagnostic efficacy of SPECT/CT in the evaluation of AVN of the femoral head.Implications for practiceIn the absence of or contraindication to MRI, SPECT/CT is able to provide a suitable alternative for diagnosis of AVN of the head of femur.     

MR波谱在鼻咽癌放疗后颅底复发与放射性脑病鉴别诊断中的应用

目的 应用MR波谱(MRS)对鼻咽癌颅底复发与放射性脑病进行对比研究,探讨MRS对两者的鉴别诊断价值.方法 选择鼻咽癌根治性放射治疗后经常规MRI怀疑鼻咽癌颅底复发或放射性脑病患者50例行MRS,其中男44例,女6例,经临床及MRI复查综合诊断,26例为鼻咽癌颅底复发,24例为颞叶放射性脑病.对比分析放疗后复发与放射性脑病之间及其与相对"正常"脑组织之间胆碱(Cho)、N-乙酰天冬氨酸(NAA)、肌酸(Cr)、乳酸-脂质(LL)等主要代谢物含量的异同.采用秩和检验对所得数据进行统计分析.结果 复发组的Cho/Cr、Cho/NAA、LL/Cr中位数分别为2.22、2.13、1.77,放射性脑病组分别为1.40、1.31、0.57,两者间差异有统计学意义(P值均<0.01),复发组高于放射性脑病组.肿瘤复发组Cho、Cr、NAA的中位数分别为3366.00、1023.00、1930.00,放射性脑病组分别为2469.50、1864.50、1734.00,3个代谢产物的含量在肿瘤复发与放射性脑病之间差异均无统计学意义(P值均>0.05).在取得了"正常"脑组织对比的14个肿瘤复发病例中,复发灶的Cr、NAA、LL、Cho/Cr、Cho/NAA、LL/Cr的中位数分别为1023.00、1930.00、2090.00、3.76、2.13、3.39,"正常"区域分别为2370.00、3012.00、1680.00、1.64、1.17、0.75,两组各参数间差异均有统计学意义(P值均<0.05),复发灶的LL、Cho/Cr、Cho/NAA、LL/Cr高于"正常"区域,而NAA、Cr低于"正常"区域;在取得了"正常"脑组织对照的12个放射性脑病病例中,放射性脑病的Cho、Cr、NAA、LL、Cho/Cr、LL/Cr的中位数分别为390.00、217.50、427.50、39.00、1.30、0.40,而"正常"脑组织分别为680.00、360.00、610.00、30.00、1.54、0.09,上述参数在放射性脑病与其"正常"区域之间差异有统计学意义,放射性脑病的Cho(P<0.01)、Cr(P<0.01)、NAA(P<0.01)、Cho/Cr(P<0.05)低于"正常"区域,而放射性脑病的LL(P<0.05)、LL/Cr(P<0.01)高于"正常"组织.结论 鼻咽癌放疗后复发与放射件脑病在MRS上主要代谢物的变化各有特点,尤其是Cho/Cr、Cho/NAA、LL/Cr等指标复发灶明显高于放射性脑病,对于两者的鉴别诊断具有很高的价值.     

Fluorine-18-fluorodeoxyglucose positron emission tomography to evaluate recurrent gastric cancer after surgical resection: a systematic review and meta-analysis

We aimed to explore the diagnostic accuracy of ¹⁸F-fluorodeoxyglucose positron emission tomography (¹⁸F-FDG PET) for detection of gastric cancer recurrence after surgical resection through a systematic review and meta-analysis. “PubMed”, EMBASE, Web of Knowledge and Springer, from the beginning of 2002 to Feb 2015, were searched for studies evaluating the diagnostic performance of 18F-FDG PET in detecting recurrent gastric cancer. We calculated sensitivities, specificities, diagnostic odds ratios and likelihood ratios, and constructed summary receiver operating characteristic curves. Fourteen studies (828 patients) were included. On a per-patient basis, the forest plots showed that the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio of ¹⁸F-FDG PET or PET/CT were 0.85 [95 % confidence interval (CI) 0.75–0.92], 0.78 (95 % CI 0.72–0.84), 3.9 (95 % CI 2.9–5.4), 0.19 (95 % CI 0.11–0.34), and 21 (95 % CI 9–47), respectively. On a per-lesion basis, the pooled sensitivity was 0.75 (95 % CI 0.61–0.86). The area under the SROC curve of PET/CT on the basis of per-patient was 0.86. ¹⁸F-FDG PET had great value in the detection of gastric cancer recurrence after surgical resection. The sensitivities of ¹⁸F-FDG PET were 85 and 75 %, respectively, on per-patient basis and on per-lesion basis.     

Opportunistic CT screening of osteoporosis on thoracic and lumbar spine: a meta-analysis

BackgroundOsteoporotic fractures are a major contributor to late life morbidity and mortality, and impose a substantial societal cost, yet osteoporosis remains substantially underdiagnosed and undertreated. The purpose of this meta-analysis was to assess the pooled diagnostic sensitivity and specificity of computed tomography (CT) images for diagnosing osteoporosis in patients who meet WHO dual X-ray absorptiometry (DXA) osteoporosis criteria using specific Hounsfield unit (HU) values as a threshold.MethodsSystematic literature searches in PubMed, Embase, Web of Science and Google Scholar were performed from the earliest available date through 1 July 2018, restricted to publications in English. Participants in all studies underwent CT scans that included the lumbar and/or thoracic spine for different indications and HU measurements were used to identify osteoporosis. DXA scans served as the reference standard.ResultsTen eligible studies were identified. The mean area under the hierarchical summary receiver operating characteristic (ROC) curve for diagnosis osteoporosis was 0.84 (95% CI: 0.81, 0.87). The pooled diagnostic sensitivity and specificity of CT images to identify osteoporosis were 0.83 (95% CI: 0.73, 0.90) and 0.74 (95% CI: 0.69, 0.79). The positive likelihood ratio (LR+), negative likelihood ratio (LR-), and diagnostic odds ratio were 3.4 (95% CI: 2.7, 4.5), 0.21 (95% CI: 0.12, 0.36), and 16.4 (95% CI: 7.8, 34.3), respectively. The bias-adjusted sensitivity and specificity of CT were 0.73 and 0.71. Meta-regression demonstrated that country of study, DXA criteria and scanner manufacturer were significant factors associated with the sensitivity of CT in detecting osteoporosis while scanner manufacturer was the only factor associated with specificity of CT.ConclusionsThis meta-analysis showed reasonable pooled sensitivity and specificity for using threshold values measured on CT scans to identify osteoporosis opportunistically.     

Myocardial perfusion scintigraphy and echocardiography for detecting coronary artery disease in hypertensive patients: a meta-analysis

Purpose

This meta-analysis summarized the accuracy of stress myocardial perfusion scintigraphy (MPS) and stress echocardiography for the diagnosis of coronary artery disease (CAD) in patients with arterial hypertension.

Methods

We searched for studies in which stress MPS or stress echocardiography were performed to detect CAD in hypertensive patients, with coronary angiography used as the reference test, published from January 1980 to December 2010. Studies performed in patients with known CAD, acute coronary syndrome and previous revascularization procedures were excluded.

Results

Of 1,263 studies, 13 met the inclusion criteria. Pooled summary estimates showed that stress MPS had a sensitivity of 0.90 [95% confidence interval (CI) 0.82?C0.95] and a specificity of 0.63 (95% CI 0.53?C0.72). For stress MPS, the area under the curve (AUC) at the summary receiver-operating characteristic (SROC) graph was 0.83 (95% CI 0.80?C0.86). At meta-regression analysis, the presence of positive stress electrocardiography as inclusion criterion was the only significant effect modifier (p?Conclusion MPS has high sensitivity for detecting CAD in hypertensive patients, with specificity comparable to that reported in the general population, whereas stress echocardiography shows higher specificity but substantially reduced sensitivity compared to MPS.     

MRS of brain tumors: Diagrammatic representations and diagnostic approach

Purpose

To evaluate magnetic resonance spectroscopy (MRS) in the assessment of brain tumors and grading brain glioma.

Patients and methods

Retrospective study was done for 42 patients with diagrammatic representations suggested by the author for the assessment of MRS data.

Results

Pathology grading was correlated with metabolic ratios in cases of brain glioma. Ratios higher than 1.5 for either Cho/Cr or Cho/NAA were consistent with tumors and ratios higher than 2 were consistent with high grade glioma or metastases.

Conclusion

MRS can be used to grade cases of brain glioma. Diagrammatic representations and a diagnostic approach were suggested by the author to simplify clinical practice.     

MR spectroscopy in post-treatment follow up of brain tumors

PurposeTo detect the role of MR spectroscopy in evaluating the whole area of signal alteration within the irradiated volume aiming to differentiate recurrent/residual tumors from radiation injury and to detect the tumor margin and extent.Materials and methodsThis prospective study included 25 patients with previously treated primary intracranial tumors. All patients received radiotherapy. MRI and multivoxel MRS were performed. The volume of interest was placed over the whole area of signal alteration. The spectra were analyzed for the signal intensity of choline (Cho), creatine (Cr), and N-acetyl aspartate (NAA), lipid (Lip), lactate (Lac), and myo-inositol (mI). Metabolite ratios for Cho/NAA, Cho/Cr, and NAA/Cr were calculated.ResultsCho/NAA and Cho/Cr were significantly higher while NAA/Cr ratios were significantly lower in tumors than radiation injury (p = 0.001 for all ratios). The Cho/NAA and Cho/Cr ratios were significantly higher in radiation injury than in normal-appearing brain tissue (p = 0.032 and p = 0.008, respectively), whereas NAA/Cr was insignificantly lower in radiation injury than normal-appearing brain tissue (p = 0.051). Value >1.8 for Cho/NAA ratio was considered as indicator for tumor.ConclusionMR spectroscopy can differentiate recurrent/residual tumor from radiation injury and delineate the tumor margin and extent.     

3.0T ~1H-MRS在脑内高级别星形细胞瘤及单发转移瘤鉴别诊断中的价值

目的:探讨多体素氢质子磁共振波谱(1 H-MRS)对脑高级别星形细胞瘤、单发脑转移瘤的鉴别诊断价值。方法:收集经手术、活检病理证实的颅脑肿瘤患者37例,其中高级别星形细胞瘤(Ⅲ~Ⅳ级)17例(间变性星形细胞瘤5例,胶质母细胞瘤12例),脑单发转移瘤20例。37例行颅脑常规MRI检查及多体素1 H-MRS分析,分析肿瘤实质强化区、强化边缘区、对侧相应正常区域脑组织的生化代谢物及其比值,并进行对照。结果:1脑高级别星形细胞瘤、脑转移瘤1 H-MRS与对侧相应正常区域对比均表现为Cho峰升高,NAA、Cr峰下降。12例胶质母细胞瘤中,显示Lip峰者11例。20例脑转移瘤中,11例见Lac峰升高,9例Lip峰升高。2高级别星形细胞瘤肿瘤实体区的Cho/NAA明显高于脑转移瘤(P0.05);高级别星形细胞瘤瘤周水肿的Cho/Cr、Cho/NAA明显高于脑转移瘤(P0.05)。结论:3.0T1 H-MRS分析对高级别星形细胞瘤、脑单发转移瘤的诊断和鉴别诊断有重要价值,可作为一种非损伤性的鉴别手段;肿瘤瘤周水肿带的波谱更有利于胶质瘤与转移瘤的鉴别。     

Accuracy of whole-body FDG-PET and FDG-PET/CT in M staging of nasopharyngeal carcinoma: A systematic review and meta-analysis

Background

A meta-analysis was conducted to evaluate the accuracy of whole-body positron emission tomography (PET) or PET/CT in M staging of nasopharyngeal carcinoma (NPC).

Methods

Through a search of relevant English language studies from October 1996 to September 2011, pooled estimated sensitivity, specificity, positive likelihood ratios, negative likelihood ratios, and summary receiver operating characteristic (SROC) curves of whole-body PET or PET/CT in M staging of NPC were calculated.

Results

Three PET and 5 PET/CT studies were identified. The pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of FDG-PET or PET/CT were 0.83 (95% confidence interval [CI], 0.77–0.88), 0.97 (95% CI, 0.95–0.98), 23.38 (95% CI, 16.22–33.69), and 0.19 (95% CI, 0.13–0.25), respectively. The area under curve was 0.9764 and Q* index estimate was 0.9307 for FDG-PET or PET/CT.

Conclusion

Current evidence confirms the good diagnostic performance of the whole-body FDG-PET or PET/CT in M staging of NPC.