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Thakur U, Nogic J, Comella A, Nerlekar N, Chan J, Abrahams T, Michail M, Nelson A, Dey D, Ko B, Seneviratne S, Brown AJ. Computed tomography coronary angiography assessment of left main coronary artery stenosis severity. J Cardiovasc Comput Tomogr 2024; 18:543-550. [PMID: 39025758 DOI: 10.1016/j.jcct.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 05/16/2024] [Accepted: 07/08/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND Angiographic assessment of left main coronary artery (LMCA) stenosis severity can be unreliable. In cases of ambiguity, intravascular ultrasound (IVUS) can be utilised with a minimal lumen area (MLA) of ≥6 mm2 an accepted threshold for safe deferral of revascularization. We sought to assess whether quantitative computer tomography coronary angiography (CTCA) measures could assist clinicians making LMCA revascularization decisions when compared with IVUS as gold standard. METHODS Consecutive patients undergoing IVUS assessment of angiographically intermediate LMCA stenosis were included. All patients had undergone 320-slice CTCA <90 days prior to IVUS imaging. Offline quantitative assessment of IVUS- and CT-derived measures were undertaken with the cohort divided into those with significant (s-LMCA) versus non-significant (ns-LMCA) disease using the accepted IVUS threshold. RESULTS Fifty-eight patients were included, with no difference in mean age (61.5 ± 12.2 vs. 59.7 ± 11.9 years, p = 0.57), diabetic status (24.2% vs 16.0%, p = 0.44) or other baseline demographics between groups. Patients with ns-LMCA had larger CT luminal area (8.64 ± 3.91 vs. 5.41 ± 1.54 mm2, p < 0.001), larger minimal lumen diameter (MLD) (3.25 ± 0.74 vs. 2.56 ± 0.38 mm, p < 0.001) and lower area stenosis (45.74 ± 18.10 vs. 60.93 ± 14.68%, p = 0.001). There was a significant positive correlation between CTCA and IVUS MLA (r = 0.68, p < 0.001) and MLD (r = 0.67, p < 0.001). ROC analysis demonstrated CTCA MLA cut-off <8.29 mm2 provides the greatest negative predictive value and sensitivity in predicting the presence of significant LMCA disease. CONCLUSION CTCA derived MLA and MLD have a strong correlation with IVUS. A CTCA derived MLA cut-off <8.29 mm2 showed greatest clinical utility for predicting the need for further assessment, based on IVUS gold standard.
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Monagle SR, Spear E, Abrahams T, Thakur U, Pol D, Bellamy K, Hickman J, Nicholls SJ, Nelson AJ. Cardiology patients are unaware of the benefits of seasonal influenza immunization. Am J Prev Cardiol 2024; 19:100716. [PMID: 39252853 PMCID: PMC11381886 DOI: 10.1016/j.ajpc.2024.100716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 07/12/2024] [Accepted: 08/08/2024] [Indexed: 09/11/2024] Open
Abstract
Seasonal influenza immunization reduces the risk of cardiovascular events. Patients with established cardiovascular disease (CVD) derive a greater benefit than those without, yet up to 50 % do not take up the immunization. Patient perceptions and beliefs are known to inform immunization behaviors, yet the immunization related beliefs of patients with CVD have not been described. Objective To describe beliefs, perceptions and behaviors regarding influenza immunization in patients with CVD. Methods We undertook a cross-sectional, voluntary and anonymous survey of 181 cardiology inpatients and outpatients attending three large hospitals in Victoria. Results Median age was 64, 35.0 % were female and 24.2 % spoke a language other than English at home. Over one-third-(34.5 %) of respondents did not receive the seasonal influenza immunization in the prior year. Only half (54.2 %) of patients agreed that their heart condition placed them at higher risk of complications and serious illness if they contracted influenza. Nearly a quarter of patients (24.0 %) were concerned about side effects while 1 in 10 patients raised cost as a barrier despite being free-of-charge in Australia. If asked to receive the seasonal influenza immunization, 86 % patients would agree if their cardiologist recommended it. Conclusion Despite guideline recommendations, most cardiology patients are uninformed of the cardiovascular benefits of seasonal influenza immunization with many unaware they are at higher risk of influenza-related illness. The vast majority of patients would accept the immunization if recommended by their cardiologist highlighting their important role in improving uptake.
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Aggarwal VA, Thakur U, Silva FD, Ray G, Weinschenk C, Gandy M, Xi Y, Chhabra A. Flexed elbow, abducted shoulder, forearm supinated (FABS) reconstruction from three-dimensional elbow MRI: diagnostic performance assessment in biceps head anatomy and pathology. Clin Radiol 2024; 79:e567-e573. [PMID: 38341341 DOI: 10.1016/j.crad.2023.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 12/19/2023] [Accepted: 12/24/2023] [Indexed: 02/12/2024]
Abstract
AIM To determine inter-reader analysis and diagnostic performance on digitally reconstructed virtual flexed, abducted, supinated (FABS) imaging from three-dimensional (3D) isotropic elbow magnetic resonance imaging (MRI). MATERIALS AND METHODS Six musculoskeletal radiologists independently evaluated elbow MRI images with virtual FABS reconstructions, blinded to clinical findings and final diagnoses. Each radiologist recorded a binary result as to whether the tendon was intact and if both heads were visible, along with a categorical value to the type of tear and extent of retraction in centimetres where applicable. Kappa and interclass correlation (ICC) were reported with 95% confidence intervals. Areas under the receiver operating curve (AUC) were reported. RESULTS FABS reconstructions were obtained successfully in all 48 cases. With respect to tendon intactness, visibility of both heads, and type of tear, the Kappa values were 0.66 (0.53-0.78), 0.24 (0.12-0.37), and 0.55 (0.43-0.66), respectively. For the extent of retraction, the ICC was 0.85 (0.79-0.91) when including the tendons with and without retraction and 0.78 (0.61-0.91) when only including tendons with retraction. For tear versus no tear, AUC values were 0.82 (0.74-0.89) to 0.96 (0.91-1.01). CONCLUSION Digital reconstruction of FABS positioning is feasible and allows good assessment of individual tendon head tears and retraction with high diagnostic performance.
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Monagle SR, Spear E, Abrahams T, Thakur U, Pol D, Tan S, Bellamy K, Hickman J, Jackson B, Chan J, Nicholls SJ, Nelson AJ. Cardiologists' knowledge and perceptions of the seasonal influenza immunisation. Int J Cardiol 2024; 399:131654. [PMID: 38104726 DOI: 10.1016/j.ijcard.2023.131654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/05/2023] [Accepted: 12/10/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND Seasonal influenza immunisation reduces cardiovascular events in high-risk patients, but 50% do not receive routine immunisation. The perceptions and current role of cardiologists in recommending and prescribing influenza immunisation has not been well described. METHODS We used an exploratory sequential mixed methods design. Semi-structured interviews of 10 cardiologists were performed to identify themes for quantitative evaluation. 63 cardiologists undertook quantitative evaluation in an online survey. The interviews and surveys addressed (a) attitudes and behaviours regarding influenza immunisation and (b) preventative care in cardiology. RESULTS One quarter (25.4%, n = 16) of cardiologists recommended influenza immunisation to all patients. Less than half (49.2%, n = 31) recommended influenza immunisation to secondary prevention patients. Almost 1/3 of respondents (31.7%, n = 20) were uncertain or unaware of the guidelines regarding influenza immunisation and patients with cardiac disease. Most cardiologists believed that general practitioners were responsible for ensuring patients received influenza immunisation (76.2%, n = 48). CONCLUSIONS Despite reducing cardiovascular events in high-risk patients, influenza immunisation is not widely recommended by cardiologists. Further clinician education is needed to address the knowledge gaps which prevent recommendation and uptake of this guideline directed treatment.
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Chan J, Thakur U, Tan S, Muthalaly RG, Thakkar H, Goel V, Cheen YC, Dey D, Brown AJ, Wong DTL, Nerlekar N. Inter-software and inter-scan variability in measurement of epicardial adipose tissue: a three-way comparison of a research-specific, a freeware and a coronary application software platform. Eur Radiol 2023; 33:8445-8453. [PMID: 37369831 PMCID: PMC10667389 DOI: 10.1007/s00330-023-09878-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/26/2023] [Accepted: 04/27/2023] [Indexed: 06/29/2023]
Abstract
OBJECTIVES Epicardial adipose tissue (EAT) is a proposed marker of cardiovascular risk; however, clinical application may be limited by variability in post-processing software platforms. We assessed inter-vendor agreement of EAT volume (EATv) and attenuation on both contrast-enhanced (CE) and non-contrast CT (NCT) using a standard coronary CT reporting software (Vitrea), an EAT research-specific software (QFAT) and a freeware imaging software (OsiriX). METHODS Seventy-six consecutive patients undergoing simultaneous CE and NCT had complete volumetric EAT measurement. Between-software, within-software NCT vs. CE, and inter- and intra-observer agreement were evaluated with analysis by ANOVA (with post hoc adjustment), Bland-Altman with 95% levels of agreement (LoA) and intraclass correlation coefficient (ICC). RESULTS Mean EATv (freeware 53 ± 31 mL vs. research 93 ± 43 mL vs. coronary 157 ± 64 mL) and attenuation (freeware - 72 ± 25 HU vs. research - 75 ± 3 HU vs. coronary - 61 ± 10 HU) were significantly different between all vendors (ANOVA p < 0.001). EATv was consistently higher in NCT vs. CE for all software packages, with most reproducibility found in research software (bias 26 mL, 95% LoA: 2 to 56 mL), compared to freeware (bias 11 mL 95% LoA: - 46 mL to 69 mL) and coronary software (bias 10 mL 95% LoA: - 127 to 147 mL). Research software had more comparable NCT vs. CE attenuation (- 75 vs. - 72 HU) compared to freeware (- 72 vs. - 57 HU) and coronary (- 61 vs. - 39 HU). Excellent inter-observer agreement was seen with research (ICC 0.98) compared to freeware (ICC 0.73) and coronary software (ICC 0.75) with narrow LoA on Bland-Altman analysis. CONCLUSION There are significant inter-vendor differences in EAT assessment. Our study suggests that research-specific software has better agreement and reproducibility compared to freeware or coronary software platforms. KEY POINTS • There are significant differences between EAT volume and attenuation values between software platforms, regardless of scan type. • Non-contrast scans routinely have higher mean EAT volume and attenuation; however, this finding is only consistently seen with research-specific software. • Of the three analyzed packages, research-specific software demonstrates the highest reproducibility, agreement, and reliability for both inter-scan and inter-observer agreement.
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Grodecki K, Killekar A, Simon J, Lin A, Cadet S, McElhinney P, Chan C, Williams MC, Pressman BD, Julien P, Li D, Chen P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Munechika J, Matsumoto H, Menè R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Maurovich-Horvat P, Slomka PJ, Dey D. Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems. Br J Radiol 2023; 96:20220180. [PMID: 37310152 PMCID: PMC10461277 DOI: 10.1259/bjr.20220180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 05/15/2023] [Accepted: 05/30/2023] [Indexed: 06/14/2023] Open
Abstract
OBJECTIVE We aimed to evaluate the effectiveness of utilizing artificial intelligence (AI) to quantify the extent of pneumonia from chest CT scans, and to determine its ability to predict clinical deterioration or mortality in patients admitted to the hospital with COVID-19 in comparison to semi-quantitative visual scoring systems. METHODS A deep-learning algorithm was utilized to quantify the pneumonia burden, while semi-quantitative pneumonia severity scores were estimated through visual means. The primary outcome was clinical deterioration, the composite end point including admission to the intensive care unit, need for invasive mechanical ventilation, or vasopressor therapy, as well as in-hospital death. RESULTS The final population comprised 743 patients (mean age 65 ± 17 years, 55% men), of whom 175 (23.5%) experienced clinical deterioration or death. The area under the receiver operating characteristic curve (AUC) for predicting the primary outcome was significantly higher for AI-assisted quantitative pneumonia burden (0.739, p = 0.021) compared with the visual lobar severity score (0.711, p < 0.001) and visual segmental severity score (0.722, p = 0.042). AI-assisted pneumonia assessment exhibited lower performance when applied for calculation of the lobar severity score (AUC of 0.723, p = 0.021). Time taken for AI-assisted quantification of pneumonia burden was lower (38 ± 10 s) compared to that of visual lobar (328 ± 54 s, p < 0.001) and segmental (698 ± 147 s, p < 0.001) severity scores. CONCLUSION Utilizing AI-assisted quantification of pneumonia burden from chest CT scans offers a more accurate prediction of clinical deterioration in patients with COVID-19 compared to semi-quantitative severity scores, while requiring only a fraction of the analysis time. ADVANCES IN KNOWLEDGE Quantitative pneumonia burden assessed using AI demonstrated higher performance for predicting clinical deterioration compared to current semi-quantitative scoring systems. Such an AI system has the potential to be applied for image-based triage of COVID-19 patients in clinical practice.
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Bao Y, Lee J, Thakur U, Ramkumar S, Marwick TH. Atrial fibrillation in cancer survivors - a systematic review and meta-analysis. CARDIO-ONCOLOGY (LONDON, ENGLAND) 2023; 9:29. [PMID: 37330583 DOI: 10.1186/s40959-023-00180-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 06/06/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) is a common cardiac complication during cancer treatment. It is unclear if cancer survivors have increased AF risk when compared to the population. AF screening is now recommended in patients ≥65 years, however there are no specific recommendations in the oncology population. We sought to compare the AF detection rate of cancer survivors compared to the general population. METHODS We searched the Pubmed, Embase and Web of Science databases using search terms related to AF and cancer mapped to subject headings. We included English language studies, limited to adults > 18 years who were > 12 months post completion of cancer treatment. Using a random-effects model we calculated the overall AF detection rate. Meta-regression analysis was performed to assess for potential causes for study heterogeneity. RESULTS Sixteen studies were included in the study. The combined AF detection rate amongst all the studies was 4.7% (95% C.I 4.0-5.4%), which equated to a combined annualised AF rate of 0.7% (95% C.I 0.1-0.98%). There was significant heterogeneity between studies (I2 = 99.8%, p < 0.001). In the breast cancer cohort (n = 6 studies), the combined annualised AF rate was 0.9% (95% C.I 0.1-2.3%), with significant heterogeneity (I2 = 99.9%, p < 0.001). CONCLUSION Whilst the results should be interpreted with caution due to study heterogeneity, AF rates in patients with cancer survival >12 months were not significantly increased compared to the general population. STUDY REGISTRATION Open Science Framework - DOI: https://doi.org/10.17605/OSF.IO/APSYG .
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Killekar A, Grodecki K, Lin A, Cadet S, McElhinney P, Razipour A, Chan C, Pressman BD, Julien P, Chen P, Simon J, Maurovich-Horvat P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Munechika J, Matsumoto H, Menè R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Dey D, Slomka P. Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks. J Med Imaging (Bellingham) 2022; 9:054001. [PMID: 36090960 PMCID: PMC9446878 DOI: 10.1117/1.jmi.9.5.054001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 08/16/2022] [Indexed: 11/14/2022] Open
Abstract
Purpose: Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease 2019 (COVID-19) patients but are not part of clinical routine because the required manual segmentation of lung lesions is prohibitively time consuming. We aim to automatically segment ground-glass opacities and high opacities (comprising consolidation and pleural effusion). Approach: We propose a new fully automated deep-learning framework for fast multi-class segmentation of lung lesions in COVID-19 pneumonia from both contrast and non-contrast CT images using convolutional long short-term memory (ConvLSTM) networks. Utilizing the expert annotations, model training was performed using five-fold cross-validation to segment COVID-19 lesions. The performance of the method was evaluated on CT datasets from 197 patients with a positive reverse transcription polymerase chain reaction test result for SARS-CoV-2, 68 unseen test cases, and 695 independent controls. Results: Strong agreement between expert manual and automatic segmentation was obtained for lung lesions with a Dice score of 0.89 ± 0.07 ; excellent correlations of 0.93 and 0.98 for ground-glass opacity (GGO) and high opacity volumes, respectively, were obtained. In the external testing set of 68 patients, we observed a Dice score of 0.89 ± 0.06 as well as excellent correlations of 0.99 and 0.98 for GGO and high opacity volumes, respectively. Computations for a CT scan comprising 120 slices were performed under 3 s on a computer equipped with an NVIDIA TITAN RTX GPU. Diagnostically, the automated quantification of the lung burden % discriminate COVID-19 patients from controls with an area under the receiver operating curve of 0.96 (0.95-0.98). Conclusions: Our method allows for the rapid fully automated quantitative measurement of the pneumonia burden from CT, which can be used to rapidly assess the severity of COVID-19 pneumonia on chest CT.
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Goel V, Spear E, Cameron W, Thakur U, Sultana N, Chan J, Tan S, Joshi M, Roberts A, Cheen YC, Youn H, Dey D, Davis E, Nicholls S, Brown A, Nerlekar N. Breast arterial calcification and epicardial adipose tissue volume, but not density are independently associated with cardiovascular risk. Int J Cardiol 2022; 360:78-82. [PMID: 35618106 DOI: 10.1016/j.ijcard.2022.05.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/14/2022] [Accepted: 05/20/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Mammographically detected breast arterial calcification (BAC) has been proposed as surrogate marker for coronary artery disease (CAD) in women. Epicardial adipose tissue (EAT) and peri-coronary adipose tissue (PCAT) are inflammatory fat depots linked to atherogenesis. BAC has demonstrated association with inflammation, therefore we aimed to determine the association between BAC, EAT and PCAT. METHODS Single-centre, retrospective, cross-sectional study of women with digital mammography and coronary computed tomography angiography (CCTA). EAT and PCAT were quantitively assessed using semi-automated software. Patient demographics and cardiovascular risk factors were obtained from medical records and mammograms reviewed for BAC. Pre-test cardiovascular risk was determined with CAD Consortium Score. Chi-square, t-test and Mann-Whitney U tests were used to assess between group differences. Multivariable linear and logistic regression modelling was conducted to adjust for confounders. RESULTS Among 153 patients (age 61, SD 11) included in this study, BAC was present in 37 (24%) patients. BAC-positive patients had higher EAT volume (EATv) (110.2 mL, SD 41 mL vs 94.4 mL, SD 41 mL, p = 0.02) but this association was not significant after adjusting for cardiovascular risk factors (p = 0.26). BAC did not associate with EAT density or PCAT. BAC and EATv were strongly associated with cardiovascular risk and CAD independent of each other: CV risk (BAC OR 7.55 (3.26-18.49), p < 0.001, EATv OR 1.02 (1.01-1.03), p < 0.001), CAD presence (BAC OR 4.26 (1.39-13), p = 0.01; EATv OR 1.01 (1.0-1.03), p = 0.04). CONCLUSION BAC and EATv are independent predictors of CV risk and CAD, but don't independently associate with each other, the relationship confounded by shared cardiovascular risk factors. BAC doesn't appear to associate with adipose tissue density and its presence may be cumulative result of long-term exposure to CV risk factors.
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Chan J, Thum K, Ihdayhid A, Comella A, Cameron J, Khamooshi M, Thakur U, Nicholls S, Carberry J, Gregory S, Cameron J, Brown A, Kalman E. Validation of Non-Invasive Endothelial Shear Stress (ESS) Estimations of Coronary Artery Haemodynamics via In-Silico and In-Vivo Modelling. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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Goel V, Cameron W, Madhavan A, Spear E, Thakur U, Sultana N, Chan J, Chee Cheen Y, Brown A, Nerlekar N. Cardiac Functional Testing Has Poor Diagnostic Value in Women With Breast Arterial Calcification on Mammography. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Chan J, Comella A, Liu R, Michail M, Sultana N, Thakur U, Cameron JC, Brown AJ. Abnormal fractional flow reserve and non-hyperaemic pressure ratios in patients with severe aortic stenosis and non-obstructive coronary artery disease. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Fractional flow reserve (FFR) and non-hyperaemic pressure ratios (NHPRs) are well-validated tools that assess the physiological significance of coronary artery disease (CAD). Low coronary lumen to myocardial mass (V/M) ratio on CT is associated with lower FFR/NHPRs and predisposes towards ischaemia in CAD. Whilst CAD and aortic stenosis (AS) frequently co-exist, patients report angina despite obstructive disease.
Purpose
We therefore sought to study the interrelationship between V/M and invasive pressure indices in patients with severe AS.
Methods
35 patients with severe AS were prospectively recruited as part of CAST-FFR study. Patients underwent CT coronary angiography and invasive pressure-wire assessment. All pressure-indices were assessed in the left anterior descending artery (LAD). Data was extracted to calculate FFR, iFR, diastolic pressure ratios (DPR and dPR) and Diastolic Hyperaemia-free Ratio (DFR). Patient-specific V/M were extracted off-site by independent core lab.
Results
Mean age was 75±7.5 years, median V/M ratio was 20.7 and mean aortic gradient and DI were 44.3±11.6mmHg and 0.23±0.4 respectively. 79% of patients had CADRADs score of <2. There were moderate positive correlations between FFR/NHPRs and V/M, including FFR (r=0.60), PdPa (r=0.48), iFR (r=0.59), DPR (r=0.59), dPR (r=0.63), DFR (r=0.67), (all p<0.005). In patients with positive pressure assessments, 69% (FFR), 71% (iFR), 70% (DPR) and 65% (DFR) had CADRADs score <2. In severe AS, lower V/M was associated with lower pressure-indices (FFR 0.75 vs 0.86, iFR 0.79 vs 0.92, DFR 0.80 vs 0.91, all p<0.005), leading to high rates of positive physiologic assessment (FFR 88%, PdPa 72%, iFR 67%, DPR 78%, DFR 74%).
Conclusion
Patients with severe AS exhibit high rates of abnormal FFR and NHPR values, despite having no obstructive CAD. Their propensity for having abnormal physiological results is, in part, influenced by coronary volume to mass ratio. These results are important for clinicians considering using invasive physiological tools to guide revascularisation decisions in patients with severe AS.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): Monash University, Cardiac Society of Australia and New Zealand Correlation between NHPR/FFR and VMInvasive pressure indices and VM
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Roberts AT, Jaya J, Ha P, Thakur U, Aldridge O, Pilgrim CHC, Tan E, Wong E, Fox A, Choi J, Liew D, Le STT, Croagh D. Metal stents are safe and cost-effective for preoperative biliary drainage in resectable pancreaticobiliary tumours. ANZ J Surg 2021; 91:1841-1846. [PMID: 34309143 DOI: 10.1111/ans.17060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 06/22/2021] [Accepted: 06/22/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUNDS To compare the complication rates and overall costs of self-expandable metal stents (SEMS) and plastic stents (PS) in clinically indicated preoperative biliary drainage (PBD) prior to a pancreatoduodenectomy (PD). METHODS We conducted an Australian multicentre retrospective cohort study using the databases of four tertiary hospitals. Adult patients who underwent clinically indicated endoscopic PBD prior to PD from 2010 to 2019 were included. Rates of complications attributable to PBD, surgical complications and pre-operative endoscopic re-intervention were calculated. Costing data were retrieved from our Financial department. RESULTS Among the 157 included patients (mean age 66.6 ± 9.8 years, 45.2% male), 49 (31.2%) received SEMS and 108 received PS (68.8%). Baseline bilirubin was 187.5 ± 122.6 μmol/L. Resection histopathology showed mainly adenocarcinoma (93.0%). Overall SEMS was associated less complications (12.2% vs. 28.7%, p = 0.02) and a lower pre-operative endoscopic re-intervention rate (4.3 vs. 20.8%, p = 0.03) compared with PS. There was no difference in post-PD complication rates. On multivariate logistic regression analysis, stent type was an independent risk factor of PBD complication (OR of SEMS compared to PS 0.24, 95% CI 0.07-0.79, p = 0.02) but not for any secondary outcome measures. Upfront material costs were $56USD for PS and $1991USD for SEMS. Accounting for rates of complications, average costs were similar ($3110USD for PS and $3026USD for SEMS). CONCLUSION In resectable pancreaticobiliary tumours, SEMS for PBD was associated with reduced risk of overall PBD-related complications and pre-surgical endoscopic reintervention rates and was comparable to PS in terms of overall cost.
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Thakkar HV, Chan J, Comella A, Thakur U, Ihdayhid AR, Nerlekar N, Brown AJ, Heart M. EXPLORING THE RELATIONSHIP BETWEEN PERIVASCULAR CORONARY INFLAMMATION AND DOWNSTREAM MICROCIRCULATORY FUNCTION IN NON-OBSTRUCTIVE CORONARY ARTERY DISEASE. J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)02718-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Grodecki K, Killekar A, Lin A, Cadet S, McElhinney P, Razipour A, Chan C, Pressman BD, Julien P, Simon J, Maurovich-Horvat P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Munechika J, Matsumoto H, Menè R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Dey D, Slomka PJ. Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. ARXIV 2021:arXiv:2104.00138v3. [PMID: 33821209 PMCID: PMC8020980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 07/17/2021] [Indexed: 11/19/2022]
Abstract
Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in Coronavirus disease 2019 (COVID-19) patients, but are not part of the clinical routine since required manual segmentation of lung lesions is prohibitively time-consuming. We propose a new fully automated deep learning framework for quantification and differentiation between lung lesions in COVID-19 pneumonia from both contrast and non-contrast CT images using convolutional Long Short-Term Memory (LSTM) networks. Utilizing the expert annotations, model training was performed using 5-fold cross-validation to segment ground-glass opacity and high opacity (including consolidation and pleural effusion). The performance of the method was evaluated on CT data sets from 197 patients with positive reverse transcription polymerase chain reaction test result for SARS-CoV-2. Strong agreement between expert manual and automatic segmentation was obtained for lung lesions with a Dice score coefficient of 0.876 ± 0.005; excellent correlations of 0.978 and 0.981 for ground-glass opacity and high opacity volumes. In the external validation set of 67 patients, there was dice score coefficient of 0.767 ± 0.009 as well as excellent correlations of 0.989 and 0.996 for ground-glass opacity and high opacity volumes. Computations for a CT scan comprising 120 slices were performed under 2 seconds on a personal computer equipped with NVIDIA Titan RTX graphics processing unit. Therefore, our deep learning-based method allows rapid fully-automated quantitative measurement of pneumonia burden from CT and may generate the big data with an accuracy similar to the expert readers.
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Grodecki K, Lin A, Razipour A, Cadet S, McElhinney PA, Chan C, Pressman BD, Julien P, Maurovich-Horvat P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Menè R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Slomka PJ, Dey D. Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19. Metabolism 2021; 115:154436. [PMID: 33221381 PMCID: PMC7676319 DOI: 10.1016/j.metabol.2020.154436] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 10/21/2020] [Accepted: 11/16/2020] [Indexed: 12/14/2022]
Abstract
AIM We sought to examine the association of epicardial adipose tissue (EAT) quantified on chest computed tomography (CT) with the extent of pneumonia and adverse outcomes in patients with coronavirus disease 2019 (COVID-19). METHODS We performed a post-hoc analysis of a prospective international registry comprising 109 consecutive patients (age 64 ± 16 years; 62% male) with laboratory-confirmed COVID-19 and noncontrast chest CT imaging. Using semi-automated software, we quantified the burden (%) of lung abnormalities associated with COVID-19 pneumonia. EAT volume (mL) and attenuation (Hounsfield units) were measured using deep learning software. The primary outcome was clinical deterioration (intensive care unit admission, invasive mechanical ventilation, or vasopressor therapy) or in-hospital death. RESULTS In multivariable linear regression analysis adjusted for patient comorbidities, the total burden of COVID-19 pneumonia was associated with EAT volume (β = 10.6, p = 0.005) and EAT attenuation (β = 5.2, p = 0.004). EAT volume correlated with serum levels of lactate dehydrogenase (r = 0.361, p = 0.001) and C-reactive protein (r = 0.450, p < 0.001). Clinical deterioration or death occurred in 23 (21.1%) patients at a median of 3 days (IQR 1-13 days) following the chest CT. In multivariable logistic regression analysis, EAT volume (OR 5.1 [95% CI 1.8-14.1] per doubling p = 0.011) and EAT attenuation (OR 3.4 [95% CI 1.5-7.5] per 5 Hounsfield unit increase, p = 0.003) were independent predictors of clinical deterioration or death, as was total pneumonia burden (OR 2.5, 95% CI 1.4-4.6, p = 0.002), chronic lung disease (OR 1.3 [95% CI 1.1-1.7], p = 0.011), and history of heart failure (OR 3.5 [95% 1.1-8.2], p = 0.037). CONCLUSIONS EAT measures quantified from chest CT are independently associated with extent of pneumonia and adverse outcomes in patients with COVID-19, lending support to their use in clinical risk stratification.
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Tan S, Thakur U, Chow KY, Lee S, Ngoi A, Nerlekar N, Nasis A. Predictive utility of left heart catheterization indices for left ventricular thrombus formation after anterior ST-elevation myocardial infarction. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2021; 34:106-111. [PMID: 33461935 DOI: 10.1016/j.carrev.2021.01.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/22/2020] [Accepted: 01/12/2021] [Indexed: 11/12/2022]
Abstract
BACKGROUND Left ventricular thrombus (LVT) has a 5% incidence after anterior ST-elevation myocardial infarction (STEMI). Multiple risk factors predispose to LVT formation, including left ventricular systolic dysfunction and infarct size, however measurable predictors during index left heart catheterization (LHC) have not been determined. METHODS We performed a retrospective analysis of patients presenting between January 2010 and September 2017 with anterior STEMI who had in-hospital transthoracic echocardiography (TTE). LHC variables that were assessed included coronary anatomy, location of culprit stenosis, presence of diffuse stenosis, number of severely diseased vessels, apical akinesis on left ventriculogram (LVG), left ventricular end diastolic pressure, and success of percutaneous coronary intervention (PCI). RESULTS Of 598 consecutive anterior STEMI patients, records and inpatient TTE results were available in 425 patients. The incidence of LVT was 6.8% (n = 29). After multivariate adjustment, severe triple vessel coronary disease (OR = 8.27, CI = 2.97-23.00, p ≤0.001), apical akinesis on LVG (OR = 6.74, CI = 1.48-30.73, p = 0.014), wrap-around left anterior descending (LAD) anatomy (OR = 5.10, CI = 1.97-13.23, p = 0.001), and failure of recanalization after PCI (OR = 3.94, CI = 1.06-14.66, p = 0.04) were predictors for LVT formation. The combined negative predictive value (NPV) for the absence of these four indices was 99.2%. CONCLUSION Severe triple vessel disease, apical akinesis on LVG during index admission, wrap-around LAD, and failure of recanalization after PCI are associated with increased risk of LVT formation after anterior STEMI. The high NPV for the absence of these indices could serve as a risk stratification tool for LVT risk to guide early TTE utilization.
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Michail M, Ihdayhid AR, Comella A, Thakur U, Cameron JD, McCormick LM, Gooley RP, Nicholls SJ, Mathur A, Hughes AD, Ko BS, Brown AJ. Feasibility and Validity of Computed Tomography-Derived Fractional Flow Reserve in Patients With Severe Aortic Stenosis: The CAST-FFR Study. Circulation 2021. [PMID: 33322917 DOI: 10.1161/circ.142.suppl_4.153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Coronary artery disease is common in patients with severe aortic stenosis. Computed tomography-derived fractional flow reserve (CT-FFR) is a clinically used modality for assessing coronary artery disease, however, its use has not been validated in patients with severe aortic stenosis. This study assesses the safety, feasibility, and validity of CT-FFR in patients with severe aortic stenosis. METHODS Prospectively recruited patients underwent standard-protocol invasive FFR and coronary CT angiography (CTA). CTA images were analyzed by central core laboratory (HeartFlow, Inc) for independent evaluation of CT-FFR. CT-FFR data were compared with FFR (ischemia defined as FFR ≤0.80). RESULTS Forty-two patients (68 vessels) underwent FFR and CTA; 39 patients (92.3%) and 60 vessels (88.2%) had interpretable CTA enabling CT-FFR computation. Mean age was 76.2±6.7 years (71.8% male). No patients incurred complications relating to premedication, CTA, or FFR protocol. Mean FFR and CT-FFR were 0.83±0.10 and 0.77±0.14, respectively. CT calcium score was 1373.3±1392.9 Agatston units. On per vessel analysis, there was positive correlation between FFR and CT-FFR (Pearson correlation coefficient, R=0.64, P<0.0001). Sensitivity, specificity, positive predictive value, and negative predictive values were 73.9%, 78.4%, 68.0%, and 82.9%, respectively, with 76.7% diagnostic accuracy. The area under the receiver-operating characteristic curve for CT-FFR was 0.83 (0.72-0.93, P<0.0001), which was higher than that of CTA and quantitative coronary angiography (P=0.01 and P<0.001, respectively). Bland-Altman plot showed mean bias between FFR and CT-FFR as 0.059±0.110. On per patient analysis, the sensitivity, specificity, positive predictive, and negative predictive values were 76.5%, 77.3%, 72.2%, and 81.0% with 76.9% diagnostic accuracy. The per patient area under the receiver-operating characteristic curve analysis was 0.81 (0.67-0.95, P<0.0001). CONCLUSIONS CT-FFR is safe and feasible in patients with severe aortic stenosis. Our data suggests that the diagnostic accuracy of CT-FFR in this cohort potentially enables its use in clinical practice and provides the foundation for future research into the use of CT-FFR for coronary evaluation pre-aortic valve replacement.
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Goel V, Spear E, Cameron W, Thakur U, Sultana N, Chan J, Tan S, Brown A, Nicholls S, Nerlekar N. Is Epicardial Adipose Tissue Associated With Breast Arterial Calcification? Heart Lung Circ 2021. [DOI: 10.1016/j.hlc.2021.06.220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Dowling C, Michail M, Zhang JM, Comella A, Thakur U, Gooley R, McCormick L, Brown AJ, Wong DTL. Diagnostic performance of quantitative flow ratio, non-hyperaemic pressure indices and fractional flow reserve for the assessment of coronary lesions in severe aortic stenosis. Cardiovasc Diagn Ther 2021; 12:314-324. [DOI: 10.21037/cdt-21-574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 01/13/2022] [Indexed: 11/06/2022]
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Michail M, Ihdayhid AR, Comella A, Thakur U, Cameron JD, McCormick LM, Gooley R, Nicholls SJ, Mathur A, Hughes AD, Ko BS, Brown AJ. Feasibility and Validity of Computed Tomography-Derived Fractional Flow Reserve in Patients With Severe Aortic Stenosis: The CAST-FFR Study. Circ Cardiovasc Interv 2021; 14:e009586. [PMID: 33322917 PMCID: PMC7116852 DOI: 10.1161/circinterventions.120.009586] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 09/09/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Coronary artery disease is common in patients with severe aortic stenosis. Computed tomography-derived fractional flow reserve (CT-FFR) is a clinically used modality for assessing coronary artery disease, however, its use has not been validated in patients with severe aortic stenosis. This study assesses the safety, feasibility, and validity of CT-FFR in patients with severe aortic stenosis. METHODS Prospectively recruited patients underwent standard-protocol invasive FFR and coronary CT angiography (CTA). CTA images were analyzed by central core laboratory (HeartFlow, Inc) for independent evaluation of CT-FFR. CT-FFR data were compared with FFR (ischemia defined as FFR ≤0.80). RESULTS Forty-two patients (68 vessels) underwent FFR and CTA; 39 patients (92.3%) and 60 vessels (88.2%) had interpretable CTA enabling CT-FFR computation. Mean age was 76.2±6.7 years (71.8% male). No patients incurred complications relating to premedication, CTA, or FFR protocol. Mean FFR and CT-FFR were 0.83±0.10 and 0.77±0.14, respectively. CT calcium score was 1373.3±1392.9 Agatston units. On per vessel analysis, there was positive correlation between FFR and CT-FFR (Pearson correlation coefficient, R=0.64, P<0.0001). Sensitivity, specificity, positive predictive value, and negative predictive values were 73.9%, 78.4%, 68.0%, and 82.9%, respectively, with 76.7% diagnostic accuracy. The area under the receiver-operating characteristic curve for CT-FFR was 0.83 (0.72-0.93, P<0.0001), which was higher than that of CTA and quantitative coronary angiography (P=0.01 and P<0.001, respectively). Bland-Altman plot showed mean bias between FFR and CT-FFR as 0.059±0.110. On per patient analysis, the sensitivity, specificity, positive predictive, and negative predictive values were 76.5%, 77.3%, 72.2%, and 81.0% with 76.9% diagnostic accuracy. The per patient area under the receiver-operating characteristic curve analysis was 0.81 (0.67-0.95, P<0.0001). CONCLUSIONS CT-FFR is safe and feasible in patients with severe aortic stenosis. Our data suggests that the diagnostic accuracy of CT-FFR in this cohort potentially enables its use in clinical practice and provides the foundation for future research into the use of CT-FFR for coronary evaluation pre-aortic valve replacement.
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Tan S, Chan J, Thakur U, Thein P, Muthalaly R, Talman A, Dey D, Brown A, Wu A, Seneviratne S, Cameron J, Wong D, Nerlekar N. Inter-Software and Inter-Scan Variability Amongst Post-Processing Software Platforms in Measurement of Epicardial Adipose Tissue. Heart Lung Circ 2021. [DOI: 10.1016/j.hlc.2021.06.219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Grodecki K, Lin A, Cadet S, McElhinney PA, Razipour A, Chan C, Pressman B, Julien P, Maurovich-Horvat P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Menè R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Slomka PJ, Dey D. Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry. Radiol Cardiothorac Imaging 2020; 2:e200389. [PMID: 33778629 PMCID: PMC7605078 DOI: 10.1148/ryct.2020200389] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
PURPOSE To examine the independent and incremental value of CT-derived quantitative burden and attenuation of COVID-19 pneumonia for the prediction of clinical deterioration or death. METHODS This was a retrospective analysis of a prospective international registry of consecutive patients with laboratory-confirmed COVID-19 and chest CT imaging, admitted to four centers between January 10 and May 6, 2020. Total burden (expressed as a percentage) and mean attenuation of ground glass opacities (GGO) and consolidation were quantified from CT using semi-automated research software. The primary outcome was clinical deterioration (intensive care unit admission, invasive mechanical ventilation, or vasopressor therapy) or in-hospital death. Logistic regression was performed to assess the predictive value of clinical and CT parameters for the primary outcome. RESULTS The final population comprised 120 patients (mean age 64 ± 16 years, 78 men), of whom 39 (32.5%) experienced clinical deterioration or death. In multivariable regression of clinical and CT parameters, consolidation burden (odds ratio [OR], 3.4; 95% confidence interval [CI]: 1.7, 6.9 per doubling; P = .001) and increasing GGO attenuation (OR, 3.2; 95% CI: 1.3, 8.3 per standard deviation, P = .02) were independent predictors of deterioration or death; as was C-reactive protein (OR, 2.1; 95% CI: 1.3, 3.4 per doubling; P = .004), history of heart failure (OR 1.3; 95% CI: 1.1, 1.6, P = .01), and chronic lung disease (OR, 1.3; 95% CI: 1.0, 1.6; P = .02). Quantitative CT measures added incremental predictive value beyond a model with only clinical parameters (area under the curve, 0.93 vs 0.82, P = .006). The optimal prognostic cutoffs for burden of COVID-19 pneumonia as determined by Youden's index were consolidation of greater than or equal to 1.8% and GGO of greater than or equal to 13.5%. CONCLUSIONS Quantitative burden of consolidation or GGO on chest CT independently predict clinical deterioration or death in patients with COVID-19 pneumonia. CT-derived measures have incremental prognostic value over and above clinical parameters, and may be useful for risk stratifying patients with COVID-19.
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Nogic J, Prosser H, O’Brien J, Thakur U, Soon K, Proimos G, Brown AJ. The assessment of intermediate coronary lesions using intracoronary imaging. Cardiovasc Diagn Ther 2020; 10:1445-1460. [PMID: 33224767 PMCID: PMC7666953 DOI: 10.21037/cdt-20-226] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 06/23/2020] [Indexed: 02/05/2023]
Abstract
Intermediate coronary artery stenosis, defined as visual angiographic stenosis severity of between 30-70%, is present in up to one quarter of patients undergoing coronary angiography. Patients with this particular lesion subset represent a distinct clinical challenge, with operators often uncertain on the need for revascularization. Although international guidelines appropriately recommend physiological pressure-based assessment of these lesions utilizing either fractional flow reserve (FFR) or quantitative flow ratio (QFR), there are specific clinical scenarios and lesion subsets where the use of such indices may not be reliable. Intravascular imaging, mainly utilizing intravascular ultrasound (IVUS) and optical coherence tomography (OCT) represents an alternate and at times complementary diagnostic modality for the evaluation of intermediate coronary stenoses. Studies have attempted to validate these specific imaging measures with physiological markers of lesion-specific ischaemia with varied results. Intravascular imaging however also provides additional benefits that include portrayal of plaque morphology, guidance on stent implantation and sizing and may portend improved clinical outcomes. Looking forward, research in computational fluid dynamics now seeks to integrate both lesion-based physiology and anatomical assessment using intravascular imaging. This review will discuss the rationale and indications for the use of intravascular imaging assessment of intermediate lesions, while highlighting the current limitations and benefits to this approach.
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Michail M, Thakur U, Mehta O, Ramzy JM, Comella A, Ihdayhid AR, Cameron JD, Nicholls SJ, Hoole SP, Brown AJ. Non-hyperaemic pressure ratios to guide percutaneous coronary intervention. Open Heart 2020; 7:e001308. [PMID: 33004619 PMCID: PMC7534727 DOI: 10.1136/openhrt-2020-001308] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 07/03/2020] [Accepted: 08/07/2020] [Indexed: 01/10/2023] Open
Abstract
The use of fractional flow reserve (FFR) in guiding revascularisation improves patient outcomes and has been well-established in clinical guidelines. Despite this, the uptake of FFR has been limited, likely attributable to the perceived increase in procedural time and use of hyperaemic agents that can cause patient discomfort. This has led to the development of instantaneous wave-free ratio (iFR), an alternative non-hyperaemic pressure ratio (NHPR). Since its inception, the use of iFR has been supported by an increasing body of evidence and is now guideline recommended. More recently, other commercially available NHPRs including diastolic hyperaemia-free ratio and resting full-cycle ratio have emerged. Studies have demonstrated that these indices, in addition to mean distal coronary artery pressure to mean aortic pressure ratio, are mathematically analogous (with specific nuances) to iFR. Additionally, there is increasing data demonstrating the equivalent diagnostic performance of alternative NHPRs in comparison with iFR and FFR. These NHPRs are now integral within most current pressure wire systems and are commonly available in the catheter laboratory. It is therefore key to understand the fundamental differences and evidence for NHPRs to guide appropriate clinical decision-making.
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