Publications by authors named "Jonathan C L Rodrigues"

Fractional flow reserve (FFR) post percutaneous coronary intervention (PCI) is an important determinant of patient outcomes. A new virtual stent planning tool allows users to model PCI and obtain post PCI FFR. We hypothesised that where a sub-optimal post PCI FFR was predicted theoretical management may be altered prior to invasive angiography.

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Background: The unpredictable trajectory and heterogeneity of interstitial lung disease (ILDs) make prognostication challenging. Current prognostic indices and outcome measures have several limitations. Quantitative computed tomography (qCT) provides automated numerical assessment of CT imaging and has shown promise when applied to the prognostication and disease monitoring of ILD.

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Objective: BSCI/BSTI guidelines recommend reporting aortic valve calcification (AVC) on all chest CTs regardless of indication. We assessed AVC frequency, severity, and association with aortic stenosis (AS) on echocardiography and its prognostic implications.

Methods: Retrospective, single-centre analysis of consecutive chest CTs (January-December 2015) for 200 patients per age group (< 40, 40-49, 50-59, 60-69, 70-79, 80-89, ≥ 90) performed for medical, surgical, and oncological indications.

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Calcified coronary arteries pose a challenge to percutaneous coronary intervention (PCI). Calcium modification techniques (CMTs) increase procedural length, complexity and risk. Computed tomography coronary angiography (CTCA) is well suited to calcium identification and quantification and may offer valuable pre-procedural information.

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Adults with hypertension have higher prevalence of vertebral artery hypoplasia (VAH), which is associated with lower resting cerebral blood flow (CBF). We examined whether VAH impacts the ability to regulate CBF during haemodynamic stress when cardiac output and blood pressure are lowered via body negative pressure (LBNP). Participants underwent magnetic resonance angiography (MRA) at 1.

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Article Synopsis
  • The study focused on the CAD-RADS system to standardize CTCA reporting and explored how coronary calcification affects the assessment of stenosis in patients.
  • Researchers hypothesized that the Fractional Flow Reserve (FFRCT) would be lower for calcified stenoses (Ca+) compared to non-calcified ones (Ca-) in the same CAD-RADS categories.
  • Results showed that there was no significant difference in FFRCT values between Ca+ and Ca- stenoses for most categories, but CAD-RADS 3 Ca+ had lower FFRCT readings, suggesting possible underestimation that was not confirmed with invasive tests.
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Computed tomography (CT) imaging of the thorax is widely used for the detection and monitoring of pulmonary embolism (PE). However, CT images can contain artifacts due to the acquisition or the processes involved in image reconstruction. Radiologists often have to distinguish between such artifacts and actual PEs.

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Background: Nintedanib slows progression of lung function decline in patients with progressive fibrosing (PF) interstitial lung disease (ILD) and was recommended for this indication within the United Kingdom (UK) National Health Service in Scotland in June 2021 and in England, Wales and Northern Ireland in November 2021. To date, there has been no national evaluation of the use of nintedanib for PF-ILD in a real-world setting.

Methods: 26 UK centres were invited to take part in a national service evaluation between 17 November 2021 and 30 September 2022.

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Introduction: Patients diagnosed with coronary artery disease (CAD) are currently treated with medications and lifestyle advice to reduce the likelihood of disease progression and risk of future major adverse cardiovascular events (MACE). Where obstructive disease is diagnosed, revascularisation may be considered to treat refractory symptoms. However, many patients with coexistent cardiovascular risk factors, particularly those with metabolic syndrome (MetS), remain at heightened risk of future MACE despite current management.

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Objective: To assess the diagnostic accuracy and clinical impact of automated artificial intelligence (AI) measurement of thoracic aorta diameter on routine chest CT.

Methods: A single-centre retrospective study involving three cohorts. 210 consecutive ECG-gated CT aorta scans (mean age 75 ± 13) underwent automated analysis (AI-Rad Companion Chest CT, Siemens) and were compared to a reference standard of specialist cardiothoracic radiologists for accuracy measuring aortic diameter.

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Coronary artery disease (CAD) remains a leading cause of mortality and morbidity worldwide, and it is associated with considerable economic burden. In an ageing, multimorbid population, it has become increasingly important to develop reliable, consistent, low-risk, non-invasive means of diagnosing CAD. The evolution of multiple cardiac modalities in this field has addressed this dilemma to a large extent, not only in providing information regarding anatomical disease, as is the case with coronary computed tomography angiography (CCTA), but also in contributing critical details about functional assessment, for instance, using stress cardiac magnetic resonance (S-CMR).

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Article Synopsis
  • The study aimed to create a deep-learning network for automatically measuring epicardial adipose tissue (EAT) volume using coronary computed tomography angiograms (CCTA), which indicates visceral obesity.
  • It involved training the model on 3,720 CCTA scans and testing its effectiveness in difficult cases and in a patient cohort after cardiac surgery.
  • Results showed a strong correlation with human measurements, and higher EAT volumes were linked to increased risks of coronary artery disease, atrial fibrillation, and various cardiovascular events, indicating its potential prognostic value in clinical settings.
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We describe the case of a 21-year-old female with Cutis Laxa presenting with an acute coronary syndrome. A CT coronary angiogram (CTCA) diagnosed spontaneous coronary artery dissection (SCAD) of the right coronary artery, which was successfully managed with medical therapy. Cutis Laxa is a rare connective-tissue disorder in which the skin becomes inelastic.

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In a porcine experimental model of myocardial infarction, a localised, layer-specific, circumferential left ventricular strain metric has been shown to indicate chronic changes in ventricular function post-infarction more strongly than ejection fraction. This novel strain metric might therefore provide useful prognostic information clinically. In this study, existing clinical volume indices, global strains, and the novel, layer-specific strain were calculated for a large human cohort to assess variations in ventricular function and morphology with age, sex, and health status.

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Article Synopsis
  • The study assessed the feasibility of General Practice (GP)-led CT coronary angiography (CTCA) for patients without known coronary artery disease (CAD) prior to their referral to rapid access chest pain clinics (RACPC).
  • 106 out of 172 screened patients were appropriate for the GP-led CTCA pathway, with no safety concerns found, suggesting that this could streamline the process and reduce unnecessary hospital visits.
  • Implementing a GP-led CTCA strategy could potentially decrease the time from referral to diagnosis by at least 27 days, which aligns with improving adherence to guidelines and optimizing healthcare resources.
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Objective: Imaged scan length (z-axis coverage) is a simple parameter that can reduce CT dose without compromising image quality. In CT coronary angiography (CTCA), z-axis coverage may be planned using non-contrast calcium score scan (CaCS) to identify the relevant coronary anatomy. However, standardised Agatston CaCS is acquired at 120 kV which adds a relatively high contribution to total study dose and CaCS is no longer routinely recommended in UK guidelines.

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  • Scientists are trying to find a better way to measure inflammation in blood vessels of COVID-19 patients to help figure out who might have serious issues later and who might benefit from treatments.
  • They created a new system using artificial intelligence that looks at images from CT scans to help identify this inflammation, called C19-RS.
  • Their study showed that COVID-19 patients had higher levels of this C19-RS, and those with certain virus variants were even more likely to have serious complications, helping doctors predict who might not survive their hospital stay.
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The left ventricular ejection fraction does not accurately predict exercise capacity or symptom severity and has a limited role in predicting prognosis in heart failure. A better method of assessing ventricular performance is needed to aid understanding of the pathophysiological mechanisms and guide management in conditions such as heart failure. In this study, we propose two novel measures to quantify myocardial performance, the global longitudinal active strain energy (GLASE) and its density (GLASED) and compare them to existing measures in normal and diseased left ventricles.

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Background: Variants in the posterior anatomy of the cerebral circulation are associated with hypertension and lower cerebral blood flow in midlife (age ≈55 years); however, whether these variants are a result of aging or long-term exposure to high blood pressure is unclear. Additionally, the role these variants play in early onset of hypertension (<40 years) and poor cerebral perfusion in this population is unknown.

Methods: We retrospectively examined whether specific cerebrovascular variants (vertebral artery hypoplasia and absent/hypoplastic posterior communicating arteries (an incomplete posterior circle of Willis) measured via magnetic resonance angiography) were associated with a diagnosis of hypertension in 220 young adults (<40 years; n=164 primary hypertensive [mean age±SD, 32±6 years] and n=56 [30±6 years] normotensive adults).

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Objectives: To assess the diagnostic accuracy of an automated algorithm to detect left ventricular (LV) dilatation on non-ECG gated CT, using cardiac magnetic resonance (CMR) as reference standard.

Methods: Consecutive patients with contrast-enhanced CT thorax and CMR within 31 days (2016-2020) were analysed ( = 84). LV dilatation was defined against age-, sex- and body surface area-specific values for CMR.

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The prevalence of the coronavirus SARS-CoV-2 disease has resulted in the unprecedented collection of health data to support research. Historically, coordinating the collation of such datasets on a national scale has been challenging to execute for several reasons, including issues with data privacy, the lack of data reporting standards, interoperable technologies, and distribution methods. The coronavirus SARS-CoV-2 disease pandemic has highlighted the importance of collaboration between government bodies, healthcare institutions, academic researchers and commercial companies in overcoming these issues during times of urgency.

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Objectives: Coronavirus disease 2019 has been reported to be a prothrombotic condition; however, multicenter data comparing this with other viral pneumonias in those requiring extracorporeal membrane oxygenation are lacking. We conducted a multicenter study using whole-body CT to examine the prevalence, severity, and nature of vascular complications in coronavirus disease 2019 in comparison with patients with other viral pneumonias.

Design: We analyzed whole-body CT scans for the presence of vascular thrombosis (defined as pulmonary artery thrombus, venous thrombus, systemic arterial thrombus, or end-organ infarct).

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Article Synopsis
  • The study conducts a systematic review to evaluate how artificial intelligence (AI) can be used in cross-sectional imaging for diagnosing acquired pulmonary arterial hypertension (PAH).
  • A total of three retrospective observational studies were analyzed, showing high accuracy in AI models applied to cardiac MRI, with one model achieving an area under the curve (AUC) of 0.97 for idiopathic PAH.
  • The findings suggest that AI could provide effective, non-invasive support in diagnosing PAH, though more research is needed in this field for improved early detection and application in other imaging methods.
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Left ventricular ejection fraction (LVEF) has a limited role in predicting outlook in heart diseases including heart failure. We quantified the independent geometric factors that determine LVEF using cardiac MRI and sought to provide an improved measure of ventricular function by adjusting for such independent variables. A mathematical model was used to analyse the independent effects of structural variables and myocardial shortening on LVEF.

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Objectives: The aim of this study was to analyse the use of the chest radiograph (CXR) as the first-line investigation in primary care patients with suspected lung cancer.

Methods: Of 16,945 primary care referral CXRs (June 2018 to May 2019), 1,488 were referred for suspected lung cancer. CXRs were coded as follows: CX1, normal but a CT scan is recommended to exclude malignancy; CX2, alternative diagnosis; or CX3, suspicious for cancer.

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