Detection Of Coronary Artery Stenosis Research Articles

GW26-e3541 Diagnostic accuracy of 320-slice dynamic volume computed tomography angiography for detection of coronary artery stenosis in patients with atrial fibrillation

To evaluate the diagnostic accuracy of 320-slice dynamic volume CT angiography (CTA) in assessment of coronary artery stenosis in patients with atrial fibrillation (AF) compared with selective coronary angiography (SCA). Seventy-two patients (49males, 63.9±12.5 years) with persistent AF were

Feasibility of proximal right coronary artery imaging by 2D and 3D echocardiography in comparison to coronary angiography.

The present study was carried out to test the feasibility of proximal right coronary artery (RCA) imaging and to detect proximal RCA narrowing and occlusion by 2D and 3D transthoracic echocardiography in comparison to coronary angiography (CA). Standardised 2D and 3D echocardiography were performed prior to CA in 97 patients with sinus rhythm. The following parameters were determined: the longest longitudinal detectable RCA segment, the minimum and maximum width of the RCA, the area and number of detectable narrowing >50% of the proximal RCA and the correlation between the echocardiographic and angiographic findings. The visualisation of the proximal RCA and the detection of coronary artery narrowing in the proximal RCA are generally possible. Differences in width and area were not statistically significant between 2D and 3D echocardiography, but showed significant differences between echocardiography and CA. For the detection of proximal RCA narrowing, higher sensitivity and specificity values were obtained by 2D than by 3D echocardiography. However, in patients with sufficient image quality 3D echocardiography permits a more detailed visualisation of the anatomical proportions and an en-face view into the RCA ostium. The visualisation of the proximal RCA is feasible and narrowing can be detected by 2D and 3D echocardiography if image quality is sufficient. CA is the gold standard for the detection of coronary artery stenoses. However, the potential of this new approach is clinically important because crucial findings of the proximal RCA can be presumably detected non-invasively prior to CA.

A myocardial perfusion imaging system using a multifocal collimator for detecting coronary artery disease: validation with invasive coronary angiography.

Myocardial perfusion imaging (MPI) systems using a multifocal collimator can reduce scan time substantially compared with conventional MPI systems. In this study, we evaluated the diagnostic accuracy of multifocal collimator SPECT/CT in coronary artery disease (CAD) detection by comparing it with coronary artery angiography (CAG). We retrospectively analyzed 50 consecutive patients who had undergone CAG and stress (201)Tl MPI multifocal collimator SPECT/CT within a 3-month period. A summed difference score (SDS) was calculated for each vascular territory from the MPI images. On CAG, a stenotic coronary artery was defined as one with luminal narrowing of ≥75% with quantitative coronary angiography software. We analyzed the diagnostic accuracy of coronary artery stenosis detection using the definition that a coronary artery territory was ischemic when the SDS per vessel was ≥2. We generated receiver operating characteristic (ROC) curves to evaluate the usefulness of SDS per vascular territory to find coronary artery stenoses. The area under the ROC curve was 0.86 and cut-off value was 2. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy to detect stenoses were 85, 83, 66, 94 and 84%, respectively. We confirmed the high accuracy of imaging with multifocal collimator SPECT/CT for detection of angiographically significant CAD.

Diagnostic efficacy of vessel specific coronary calcium score in detection of coronary artery stenosis.

Background:Coronary artery calcification which is determined quantitatively by coronary calcium scoring has been known as a sign of coronary stenosis and thus future cardiac events; hence it has been noticed on spotlight of researchers in recent years. Developing different method for early and optimal detection of coronary artery disease (CAD) is really essential as CAD are the first cause of death in population.Objectives:To evaluate predictive value of vessel specific coronary artery calcium (CAC) score in predicting obstructive coronary artery disease.Patients and Methods:In this diagnostic test study we evaluated patients with coronary computed tomography angiography (CCTA) and CAC score which had been referred to two referral radiology center in Tehran, Iran and finally we selected 2525 patients in a single and sequential pattern to create a diagnostic study. The whole-heart CAC scores and vessel specific CAC scores were calculated individually for the 4 major epicardial coronary arteries in 2 distinct group; group A ( patients with previous history of CABG) and group B (patients without history of CABG). For evaluation of obstruction tree cut off points were described: 0 > ; at least 1 segment with any kind of stenosis, ≥ 50; at least 1 segment with stenosis ≥ 50, ≥ 70; at least 1 segment with stenosis ≥ 70.Results:Mean of coronary calcium scores in terms of each coronary artery vessel increase by increasing coronary stenosis grade in group B; LAD, RCA, LCX respectively have mean CAC score 6.06, 6.21 and 5.04 in normal patients and 221.6, 226.7 and 106.6 in patients with complete stenosis. As expected these findings don't work for group A. Also By increasing calcium score cutoff in all four vessels sensitivity decreased and specificity increased but steal LAD had higher sensitivity than other vessels and LM had higher specificity. Thus using calcium score method is useful for ruling out stenosis in LAD while calcium score of LM can predict existence of stenosis in LM. However none of the vessel specific CAC can reach to 100% sensitivity and specificity of CCTA method.Conclusions:CCTA is highly superior than vessel specific CAC score thus to minimize patients radiation does maybe we can eliminate CAC scan as a routinely perform procedure at the beginning of the CCTA.

Coronary CT angiography for the detection of coronary artery stenosis in patients referred for transcatheter aortic valve replacement

BackgroundCoronary CT has become the foremost noninvasive imaging modality for detecting coronary stenoses in patients with suspected coronary artery disease. Nevertheless, little is known about its performance in patients undergoing transcatheter aortic valve replacement (TAVR). ObjectiveThis study investigates the diagnostic performance of coronary CT angiography in patients referred for TAVR. MethodsOne hundred and fifteen consecutive patients with severe aortic stenosis underwent CT angiography with retrospective electrocardiography triggered acquisition and an iterative reconstruction algorithm, of whom 23 (20%) had prior coronary artery bypass graft (CABG) surgery. Diagnostic accuracy of CT for detecting significant coronary stenosis (≥50% luminal diameter stenosis in segments ≥2 mm) in the left main, proximal, or middle segments of coronary arteries and bypass grafts was compared with that of invasive coronary angiography. ResultsIn the overall study population, the sensitivity, specificity, and positive and negative predictive value of CT angiography for the detection of coronary segment or bypass graft lesions were 96% (47 of 49), 73% (48 of 66), 72% (47 of 65), and 96% (48 of 50), respectively. The per-patient diagnostic yield of CT angiography was consistent among patients without prior CABG (93% [28 of 30], 73% [45 of 62], 62% [28 of 45], and 96% [45 of 47], respectively) and among patients with prior CABG (100% [19 of 19], 75% [3 of 4], 95% [19 of 20], and 100% [3 of 3], respectively). ConclusionAmong patients referred for TAVR, coronary CT angiography with retrospective gating and iterative reconstruction may allow detection of significant stenosis in the proximal or middle segments of coronary arteries and could permit the evaluation of patients after bypass grafts.

GW25-e4460 Diagnostic accuracy of 320-slice dynamic volume computed tomography angiography for detection of coronary artery stenosis compared with selective coronary angiography

GW25-e4460 Diagnostic accuracy of 320-slice dynamic volume computed tomography angiography for detection of coronary artery stenosis compared with selective coronary angiography

Accuracy of multidetector computed tomography for detection of coronary artery stenosis in acute coronary syndrome compared with stable coronary disease: A CORE64 multicenter trial substudy

BackgroundMulti-detector computed tomography angiography (MDCTA) is a promising method for risk assessment of patients with acute chest pain. However, its diagnostic performance in higher-risk patients has not been investigated in a large international multicenter trial. Therefore, in the present study we sought to estimate the diagnostic accuracy of MDCTA to detect significant coronary stenosis in patients with acute coronary syndrome (ACS). MethodsPatients included in the CORE64 study were categorized as suspected-ACS or non-ACS based on clinical data. A 64-row coronary MDCTA was performed before invasive coronary angiography (ICA) and both exams were evaluated by blinded, independent core laboratories. ResultsFrom 371 patients included, 94 were categorized as suspected ACS and 277 as non-ACS. Patient-based analysis showed an area under the receiver-operating-characteristic curve (AUC) for detecting ≥50% coronary stenosis of 0.95 (95% CI: 0.88–0.98) in ACS and 0.92 (95% CI: 0.88–0.95) in non-ACS group (P=0.29). The sensitivity, specificity, positive and negative predictive values of MDCTA were 0.90(0.80–0.96), 0.88(0.70–0.98), 0.95(0.87–0.99) and 0.77(0.58–0.90) in suspected ACS patients and 0.87(0.81–0.92), 0.86(0.79–0.92), 0.91(0.85–0.95) and 0.82(0.74–0.89) in non-ACS patients (P NS for all comparisons). The mean calcium scores (CS) were 282±449 in suspected ACS and 435±668 in non-ACS group. The accuracy of CS to detect significant coronary stenosis was only moderate and the absence or minimal coronary artery calcification could not exclude the presence of significant coronary stenosis, particularly in ACS patients. ConclusionsThe diagnostic accuracy of MDCTA to detect significant coronary stenosis is high and comparable for both ACS and non-ACS patients.

Multicenter Evaluation of Coronary Dual-Source CT Angiography in Patients with Intermediate Risk of Coronary Artery Stenoses (MEDIC): Study design and rationale

BackgroundThe diagnostic performance of multidetector row CT to detect coronary artery stenosis has been evaluated in numerous single-center studies, with only limited data from large cohorts with low-to-intermediate likelihood of coronary disease and in multicenter trials. The Multicenter Evaluation of Coronary Dual-Source CT Angiography in Patients with Intermediate Risk of Coronary Artery Stenoses (MEDIC) trial determines the accuracy of dual-source CT (DSCT) to identify persons with at least 1 coronary artery stenosis among patients with low-to-intermediate pretest likelihood of disease. MethodsThe MEDIC trial was designed as a prospective, multicenter, international trial to evaluate the diagnostic performance of DSCT for the detection of coronary artery stenosis compared with invasive coronary angiography. The study includes 8 sites in Germany, India, Mexico, the United States, and Denmark. The study population comprises patients referred for a diagnostic coronary angiogram because of suspected coronary artery disease with an intermediate pretest likelihood as determined by sex, age, and symptoms. All evaluations are performed by blinded core laboratory readers. ResultsThe primary outcome of the MEDIC trial is the accuracy of DSCT to identify the presence of coronary artery stenoses with a luminal diameter narrowing of 50% or more on a per-vessel basis. Secondary outcome parameters include per-patient and per-segment diagnostic accuracy for 50% stenoses and accuracy to identify stenoses of 70% or more. Furthermore, secondary outcome parameters include the influence of heart rate, Agatston score, body weight, body mass index, image quality, and diagnostic confidence on the accuracy to detect coronary artery stenoses >50% on a per-vessel basis. ConclusionThe results of the MEDIC trial will assess the clinical utility of coronary CT angiography in the evaluation of patients with intermediate pretest likelihood of coronary artery disease.

Role of 320-slice multislice computed tomography coronary angiography in the assessment of coronary artery stenosis

ObjectiveTo evaluate the effectiveness of the multislice CT coronary angiography, as a non-invasive imaging tool in assessment of coronary artery stenosis. Patients and methodsThe study included 50 patients who were referred for MSCT coronary angiography followed by catheter coronary angiography. Patients with previous coronary bypass grafts and those with coronary stents were excluded. History of contrast allergy, renal impairment and severe chest conditions were exclusion criteria. The coronary angiographic CT studies were performed using a 320 CT scanner. The catheter coronary angiographic studies were performed via femoral arterial puncture. The results of CT angiography were compared with the gold standard catheter angiography. ResultsThe positive predictive value and negative predictive value of MSCT coronary angiography in detection of coronary artery stenosis were 94% and 100%, respectively. ConclusionIn conclusion, MSCT coronary angiography is a very helpful and rapid non-invasive coronary imaging modality that was able to detect and grade coronary artery stenosis better than other noninvasive examinations used to detect CAD, such as exercise stress testing. Due to its very high negative predictive value, it may eliminate the need for invasive coronary procedures in the presence of normal coronary imaging.

Diagnostic Performance of Algorithm for Computer-Assisted Detection of Significant Coronary Artery Disease in Patients With Acute Chest Pain: Comparison With Invasive Coronary Angiography

The purpose of this study was to evaluate the performance of an automated computer-assisted detection (CAD) algorithm to detect coronary artery stenosis on coronary CT angiography (CTA). We investigated 128 consecutive patients (76 men, 52 women; mean [SD] age, 64 ± 11 years) who had acute chest pain and underwent 128-slice dual-source coronary CTA and invasive coronary angiography at an emergency department. All coronary CTA data were analyzed using customized software for the detection of coronary artery stenosis without human interaction. The diagnostic performance of a CAD algorithm for evaluation of stenosis of at least 50% of vessel diameter was compared with that of human interpretation of coronary CTA, with invasive coronary angiography as a reference standard. Of the 128 patients, 25 patients were excluded because of failure of data processing (n = 9) or history of stent insertion or coronary artery bypass graft (n = 16). Invasive coronary angiography revealed significant stenosis in 62% (64/103) of the remaining patients. In detecting significant stenosis, the CAD algorithm yielded 100% sensitivity, 23.1% specificity, 68.1% positive predictive value (PPV), and 100% negative predictive value (NPV) in per-patient analysis. On per-vessel analysis, the CAD algorithm yielded 90.0% sensitivity, 62.4% specificity, 40.1% PPV, and 95.7% NPV. Human interpretation of coronary CTA yielded 98.4% and 96.7% sensitivities, 79.5% and 95.0% specificities, 88.7% and 84.5% PPVs, and 96.9% and 99.0% NPVs for diagnosing significant stenosis on per-patient and per-vessel analyses, respectively. The CAD algorithm yields a high NPV in detecting stenosis of at least 50% on coronary CTA. As a second "reader," the CAD algorithm may help to exclude significant coronary stenosis in patients with acute chest pain at an emergency department.

Cardiac hybrid imaging

Hybrid cardiac single photon emission computed tomography (SPECT)/CT imaging allows combined assessment of anatomical and functional aspects of cardiac disease. In coronary artery disease (CAD), hybrid SPECT/CT imaging allows detection of coronary artery stenosis and myocardial perfusion abnormalities. The clinical value of hybrid imaging has been documented in several subsets of patients. In selected groups of patients, hybrid imaging improves the diagnostic accuracy to detect CAD compared to the single imaging techniques. Additionally, this approach facilitates functional interrogation of coronary stenoses and guidance with regard to revascularization procedures. Moreover, the anatomical information obtained from CT coronary angiography or coronary artery calcium scores (CACS) adds prognostic information over perfusion data from SPECT. The use of cardiac hybrid imaging has been favoured by the dissemination of dedicated hybrid systems and the release of dedicated image fusion software, which allow simple patient throughput for hybrid SPECT/CT studies. Further technological improvements such as more efficient detector technology to allow for low-radiation protocols, ultra-fast image acquisition and improved low-noise image reconstruction algorithms will be instrumental to further promote hybrid SPECT/CT in research and clinical practice.

Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA

Background Whole-heart coronary MRA permits noninvasive detection of coronary artery disease. In the brain MRI, superresolution (SR) technique has emerged as a method to enhance image resolution and improve diagnostic performance. In the current study, we developed a learning-based SR technique optimized for whole-heart coronary MRA (Figure 1). Summarizing briefly, this SR algorithm consists of (1) construction of the dictionary for lowand high-resolution pairs of image patches, and (2) generation of high-resolution coronary MRA images by embedding optimal patches selected form the dictionary by least square fitting. The purpose of this study was to determine if the SR technique can improve the diagnostic performance of 1.5T whole-heart coronary MRA in detecting significant stenosis on catheter coronary angiography.

The impact of training on diagnostic accuracy with computed tomography coronary angiography

The aim of this study is to assess the image quality and diagnostic accuracy of computed tomography (CT) coronary angiography (CTCA) in different hospital settings with the same trained team. Four hundred patients were consecutively enrolled for CTCA in a large academic hospital (Group 1; Sensation 64 Cardiac, Siemens - Iomeprol 400, Bracco; 200 patients) and in a small local hospital (Group 2; VCT, GE Healthcare - Iodixanol 320, GE Healthcare; 200 patients). All patients were enrolled for suspected coronary artery disease (CAD) and patients with stents or who had previously undergone coronary bypass were excluded. Scan protocols (retrospectively ECG-gated; no dose reduction modulation applied) were performed in accordance with standards reported in the international literature with the best solution available on site. Image quality was assessed in each coronary segment with a 4-point Likert scale: 0, not assessable; 1, low; 2, average; 3, good. Diagnostic accuracy was calculated against conventional coronary angiography with a threshold of at least 50% for significant stenosis. There was no significant difference between demographics, BMI, prevalence of obstructive CAD, calcium score and heart rate between the two populations. The average image quality was 2.83 ± 0.37 for Group 1 and 2.86 ± 0.31 for Group 2 (P > 0.05). Per-segment sensitivity, specificity, positive and negative predictive values were 92.6% (87-95), 97.9% (97-98), 75.9% (69-81) and 99.5% (99-99), respectively, for Group 1, and 90.4% (85-93), 98.6% (98-99), 84.2% (78-88) and 99.2% (98-99), respectively, for Group 2 (P > 0.05). There is no significant difference in image quality and diagnostic accuracy of CTCA when the investigation is performed by the same properly trained team. CTCA is a robust imaging modality for the detection of coronary artery stenosis.

GW24-e0431 Diagnostic value of 320-slice computed tomography angiography in coronary artery stenosis: A meta-analysis

ObjectivesTo evaluate the diagnostic accuracy of 320-slice computed tomography coronary angiography (320-SCTA) compared with the standard reference conventional coronary angiography (CCA) in the detection of significant coronary artery stenosis (≥...

Comment on: Diagnostic accuracy of 320-slice computed tomography angiography for detection of coronary artery stenosis: Meta-analysis (Int J Cardiol 2013, http://dx.doi.org/10.1016/j.ijcard.2013.03.023)

We read with great interest the article “Diagnostic accuracy of 320-slice computed tomography angiography for detection of coronary artery stenosis: meta-analysis” by Li et al. [1]. The authors performed a meta-analysis of diagnostic accuracy of 320-slice coronary CT angiography (CCTA) in the diagnosis of coronary artery disease (CAD) based on an analysis of 10 studies available in the current literature. They concluded that 320-slice CCTA has similar diagnostic value to 64- and post-64 slice CT in the detection of significant CAD.

Detection of coronary artery stenosis with sub-milliSievert radiation dose by prospectively ECG-triggered high-pitch spiral CT angiography and iterative reconstruction

To evaluate the diagnostic accuracy of sub-milliSievert (mSv) coronary CT angiography (cCTA) using prospectively ECG-triggered high-pitch spiral CT acquisition combined with iterative image reconstruction. Forty consecutive patients (52.9 ± 8.7 years; 30 men) underwent dual-source cCTA using prospectively ECG-triggered high-pitch spiral acquisition. The tube current-time product was set to 50 % of standard-of-care CT examinations. Images were reconstructed with sinogram-affirmed iterative reconstruction. Image quality was scored and diagnostic performance for detection of ≥50 % stenosis was determined with catheter coronary angiography (CCA) as the reference standard. CT was successfully performed in all 40 patients. Of the 601 assessable coronary segments, 543 (90.3 %) had diagnostic image quality. Per-patient sensitivity for detection of ≥50 % stenosis was 95.7 % [95 % confidence interval (CI), 76.0-99.8 %] and specificity was 94.1 % (95 % CI, 69.2-99.7 %). Per-vessel sensitivity was 89.5 % (95 % CI, 77.8-95.6 %) with 93.2 % specificity (95 % CI, 86.0-97.0 %). The area under the receiver-operating characteristic curve on per-patient and per-vessel levels was 0.949 and 0.913. Mean effective dose was 0.58 ± 0.17 mSv. Mean size-specific dose estimate was 3.14 ± 1.15 mGy. High-pitch prospectively ECG-triggered cCTA combined with iterative image reconstruction provides high diagnostic accuracy with a radiation dose below 1 mSv for detection of coronary artery stenosis. • Cardiac CT with sub-milliSievert radiation dose is feasible in many patients • High-pitch spiral CT acquisition with iterative reconstruction detects coronary stenosis accurately. • Iterative reconstruction increases who can benefit from low-radiation cardiac CT.

The Value of Quantitative Real‐Time Myocardial Contrast Echocardiography for Detection of Angiographically Significant Coronary Artery Disease

Real-time (RT) myocardial contrast echocardiography (MCE) is a novel method for the assessment of regional myocardial perfusion. We sought to evaluate the feasibility and diagnostic accuracy of quantitative RT-MCE in predicting significant coronary stenosis, with reference to quantitative coronary angiography. RT-MCE can identify anatomically significant coronary artery stenosis in selected patients. RT-MCE is probably an effective method for detection of angiographically significant coronary artery stenosis. Thirty-five patients (mean age, 59.94 ± 10.63 years; 25 males) scheduled for coronary angiography underwent RT-MCE at rest, and shortly afterward underwent gated single-photon emission computed tomography (gated-SPECT). Coronary angiography was performed within 1 week after RT-MCE in all patients. The observing indexes included the images of RT-MCE that were analyzed quantitatively from microbubble replenishment curves for myocardial perfusion by using the Q-Lab software. The sensitivity and specificity of RT-MCE for quantitative detection of coronary artery disease (CAD) were obtained. The receiver operator characteristic (ROC) curves were used to assess the differences of accuracy in ischemic segments with A, β and A × β respectively. The sensitivity and specificity of gated-SPECT and RT-MCE for assessment of CAD were calculated using a 4-score method. A total of 513 segments among 595 segments in 35 patients were obtained. The cutoffs for A, β and A × β were 4.58, 0.64, and 2.73, and the sensitivity and specificity of quantitative RT-MCE for detection of CAD were 86.0%, 80.2%, 88.9%, and 84.1%, 64.6%, 79.9%, respectively. Meanwhile, the sensitivity and specificity of semiquantitative analysis for assessment of CAD were 66.7% and 61.8%. The ROC curve area of A and A × β was 0.91 and 0.90 in the middle segments. The ROC area of A was 0.52 in the base segments. The sensitivity and specificity of gated-SPECT for assessment of CAD were 84.8% and 82.7%, respectively. The sensitivity of multi-indexes RT-MCE increased. The sensitivity was 89.1%, 90.4%, and 96.3% by A + β, A + A × β, and β + A × β. Quantitative RT-MCE is an effective method for the detection of coronary artery stenosis. Quantitative RT-MCE is segmented for assessment to ischemic myocardium. RT-MCE with multi-indexes has a valuable application for assessment of CAD surpassing SPECT.

Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography

Though conventional coronary angiography (CCA) has been the standard of reference for diagnosing coronary artery disease in the past decades, computed tomography angiography (CTA) has rapidly emerged, and is nowadays widely used in clinical practice. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the performance of the algorithms devised to detect and quantify the coronary artery stenoses, and to segment the coronary artery lumen in CTA data. The objective of this evaluation framework is to demonstrate the feasibility of dedicated algorithms to: (1) (semi-)automatically detect and quantify stenosis on CTA, in comparison with quantitative coronary angiography (QCA) and CTA consensus reading, and (2) (semi-)automatically segment the coronary lumen on CTA, in comparison with expert's manual annotation. A database consisting of 48 multicenter multivendor cardiac CTA datasets with corresponding reference standards are described and made available. The algorithms from 11 research groups were quantitatively evaluated and compared. The results show that (1) some of the current stenosis detection/quantification algorithms may be used for triage or as a second-reader in clinical practice, and that (2) automatic lumen segmentation is possible with a precision similar to that obtained by experts. The framework is open for new submissions through the website, at http://coronary.bigr.nl/stenoses/.

Diagnostic accuracy of 320-slice computed tomography angiography for detection of coronary artery stenosis: Meta-analysis

This study aims to review the recent literatures on the diagnostic accuracy of 320-slice computed tomography angiography (CTA) for detection of coronary artery stenosis, with invasive coronary angiography (ICA) as the reference standard. A PubMed and EMBASE cross-search of the literatures on use of 320-slice CTA compared with ICA for detection of coronary artery stenosis, with publication date limited to January 1, 2008 to December 31, 2012. Individual and pooled sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated at the patient-, vessel- and segment-level. A positive result was defined as greater than or equal to 50%-diameter stenosis. A total of ten studies were included in the present meta-analysis, examining 1088 patients, 1629 vessels and 12,406 segments. The meta-analysis at the patient-level indicated a pooled sensitivity of 93% (95%CI: 91%-95%), specificity of 86% (95%CI: 82%-89%), PPV of 90% (95%CI: 87%-92%) and NPV of 90% (95%CI: 87%-93%). At the vessel-level, the pooled sensitivity was 92% (95%CI: 89%-94%), specificity 95% (95%CI: 94%-96%), PPV 87% (95%CI: 83%-90%), and NPV 97% (95%CI: 96%-98%). At the segment-level, the pooled sensitivity was 78% (95%CI: 76%-80%), specificity 98% (95%CI: 97%-98%), PPV 82% (95%CI: 80%-84%), and NPV 97% (95%CI: 97%-97%). 320-CTA can effectively identify the majority of patients with coronary artery disease (CAD). The high NPV makes it as an effective noninvasive alternative to ICA for the exclusion of stenosis.

Diagnostic performance of computed tomographic coronary angiography in patients with end-stage renal disease

End-stage renal disease (ESRD) is characterized by a very high rate of cardiovascular events that warrants thorough screening for coronary atherosclerosis, especially in patients undergoing a kidney transplant. Therefore, we assessed the diagnostic performance of 64-slice multidetector coronary computed tomographic angiography (CCTA) in patients with ESRD. We included patients who had been referred for a CCTA and an invasive coronary angiography (diagnostic standard) within 6 months, either as part of clinical work-up in two urban medical centers or as part of the multicenter ACCURACY trial. Thirty-one ESRD patients were included and compared with 588 non-ESRD patients undergoing CCTA and invasive coronary angiography. On a patient-based model, the sensitivity, specificity, and positive and negative predictive values to detect at least 50% and at least 70% stenosis were 100, 78, 92, and 100% and 100, 91, 95, and 100%, respectively, for ESRD patients and 97, 83, 87, and 96% and 94, 87, 85, and 95%, respectively, for non-ESRD controls. There were no statistically significant differences between ESRD and non-ESRD participants in diagnostic performance measures. Results show 64-row multidetector CCTA is highly sensitive and specific in the detection of coronary artery stenosis irrespective of ESRD. Our findings suggest that CCTA is a promising diagnostic tool for the timely detection and/or exclusion of coronary atherosclerosis in patients undergoing pretransplant cardiovascular surveillance.