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  1. Article ; Online: Stress-only dynamic computed tomography perfusion protocol (CTP) alone without computed tomography coronary angiography (CCTA) has limited specificity to diagnose ischemia: A retrospective two-center study.

    Sliwicka, Olga / Baggiano, Andrea / Sechopoulos, Ioannis / Pontone, Gianluca

    European journal of radiology

    2023  Volume 169, Page(s) 111152

    Abstract: Purpose: To investigate diagnostic performance of stress-only dynamic myocardial computed tomography perfusion (CTP) without computed tomography coronary angiography (CCTA) to diagnose ischemia with invasive fractional flow reserve (FFR) as a reference ... ...

    Abstract Purpose: To investigate diagnostic performance of stress-only dynamic myocardial computed tomography perfusion (CTP) without computed tomography coronary angiography (CCTA) to diagnose ischemia with invasive fractional flow reserve (FFR) as a reference standard.
    Method: 135 datasets (68 positive for ischemia with invasive FFR < 0.8) acquired with a 256-slice CT system (Revolution, GE Healthcare, Chicago, IL, USA) were retrieved, postprocessed with a deep learning-based algorithm (Advanced intelligent Clear-IQ Engine (AiCE), Canon Medical Systems, Otawara, Japan) (FC03/cardiac kernel, 8 mm slice thickness), analyzed using a dedicated workstation (Vitrea research 7.11.0. Vital Images, Minnetonka, MN, USA), and loaded into a clinical workstation (CardIQ, GE Healthcare, Chicago, IL, USA) for review. Ten observers with various experience from two research sites evaluated the post-processed images, perfusion slices and maps to indicate presence vs absence of perfusion defect and its probability (five-point Likert scale). Binary decisions and probability scores were used to calculate sensitivity and specificity for each reader, and to create receiver operating characteristics (ROC) curves, respectively. Furthermore, the correlation coefficient (ICC) was computed. ROC AUC of a purely quantitative analysis was obtained thanks to a color-coded map with a fixed scale superimposed on myocardial walls displaying myocardial blood flow (MBF) values.
    Results: The overall case-based sensitivity and specificity for the detection of perfusion deficit were 0.79 and 0.30, respectively. No significant differences were detected in the AUC across readers (p value = 0.66). The AUC values were 0.50, 0.58, 0.63, 0.59, 0.45, 0.60, 0.56, 0.61, 0.52, 0.61. Absolute reader agreement ICC was 0.60 (good agreement) for an average case.
    Conclusion: Dynamic CTP alone has good sensitivity, but low specificity when analyzed without CCTA. These findings reinforce the need to guide the interpretation functional test with the knowledge of coronary artery anatomy.
    MeSH term(s) Humans ; Coronary Artery Disease/diagnostic imaging ; Coronary Angiography/methods ; Retrospective Studies ; Fractional Flow Reserve, Myocardial/physiology ; Myocardial Perfusion Imaging/methods ; Tomography, X-Ray Computed/methods ; Computed Tomography Angiography/methods ; Ischemia ; Perfusion ; Coronary Stenosis ; Predictive Value of Tests
    Language English
    Publishing date 2023-10-19
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 138815-0
    ISSN 1872-7727 ; 0720-048X
    ISSN (online) 1872-7727
    ISSN 0720-048X
    DOI 10.1016/j.ejrad.2023.111152
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A fully automated deep learning approach for coronary artery segmentation and comprehensive characterization.

    Nannini, Guido / Saitta, Simone / Baggiano, Andrea / Maragna, Riccardo / Mushtaq, Saima / Pontone, Gianluca / Redaelli, Alberto

    APL bioengineering

    2024  Volume 8, Issue 1, Page(s) 16103

    Abstract: Coronary computed tomography angiography (CCTA) allows detailed assessment of early markers associated with coronary artery disease (CAD), such as coronary artery calcium (CAC) and tortuosity (CorT). However, their analysis can be time-demanding and ... ...

    Abstract Coronary computed tomography angiography (CCTA) allows detailed assessment of early markers associated with coronary artery disease (CAD), such as coronary artery calcium (CAC) and tortuosity (CorT). However, their analysis can be time-demanding and biased. We present a fully automated pipeline that performs (i) coronary artery segmentation and (ii) CAC and CorT objective analysis. Our method exploits supervised learning for the segmentation of the lumen, and then, CAC and CorT are automatically quantified. 281 manually annotated CCTA images were used to train a two-stage U-Net-based architecture. The first stage employed a 2.5D U-Net trained on axial, coronal, and sagittal slices for preliminary segmentation, while the second stage utilized a multichannel 3D U-Net for refinement. Then, a geometric post-processing was implemented: vessel centerlines were extracted, and tortuosity score was quantified as the count of branches with three or more bends with change in direction forming an angle >45°. CAC scoring relied on image attenuation. CAC was detected by setting a patient specific threshold, then a region growing algorithm was applied for refinement. The application of the complete pipeline required <5 min per patient. The model trained for coronary segmentation yielded a Dice score of 0.896 and a mean surface distance of 1.027 mm compared to the reference ground truth. Tracts that presented stenosis were correctly segmented. The vessel tortuosity significantly increased locally, moving from proximal, to distal regions (p < 0.001). Calcium volume score exhibited an opposite trend (p < 0.001), with larger plaques in the proximal regions. Volume score was lower in patients with a higher tortuosity score (p < 0.001). Our results suggest a linked negative correlation between tortuosity and calcific plaque formation. We implemented a fast and objective tool, suitable for population studies, that can help clinician in the quantification of CAC and various coronary morphological parameters, which is helpful for CAD risk assessment.
    Language English
    Publishing date 2024-01-23
    Publishing country United States
    Document type Journal Article
    ISSN 2473-2877
    ISSN (online) 2473-2877
    DOI 10.1063/5.0181281
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  3. Article ; Online: Cardiac magnetic resonance mapping for the diagnosis of reverse ventricular Takotsubo cardiomyopathy.

    Marcon, Lorenzo / Baggiano, Andrea / Pontone, Gianluca

    European heart journal. Cardiovascular Imaging

    2022  Volume 23, Issue 5, Page(s) e243

    MeSH term(s) Heart Ventricles ; Humans ; Magnetic Resonance Imaging ; Magnetic Resonance Spectroscopy ; Pericardium ; Takotsubo Cardiomyopathy/diagnostic imaging
    Language English
    Publishing date 2022-02-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2638345-7
    ISSN 2047-2412 ; 2047-2404
    ISSN (online) 2047-2412
    ISSN 2047-2404
    DOI 10.1093/ehjci/jeac016
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  4. Article ; Online: Reply to: Takotsubo syndrome in a young woman diagnosed by cardiac magnetic imaging: some clarifications may be of value.

    Marcon, Lorenzo / Baggiano, Andrea / Pontone, Gianluca

    European heart journal. Cardiovascular Imaging

    2022  Volume 23, Issue 5, Page(s) e245

    MeSH term(s) Electrocardiography ; Female ; Heart ; Humans ; Magnetic Phenomena ; Takotsubo Cardiomyopathy/diagnostic imaging ; Ventricular Function, Left
    Language English
    Publishing date 2022-03-21
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 2638345-7
    ISSN 2047-2412 ; 2047-2404
    ISSN (online) 2047-2412
    ISSN 2047-2404
    DOI 10.1093/ehjci/jeac056
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  5. Article: Editorial: Advances in cardiac imaging and heart failure management.

    Mandoli, Giulia Elena / Benfari, Giovanni / Baggiano, Andrea / Florea, Roxana / Cameli, Matteo

    Frontiers in cardiovascular medicine

    2023  Volume 9, Page(s) 1095829

    Language English
    Publishing date 2023-01-09
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2022.1095829
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  6. Article ; Online: Case report: acute myocarditis in two patients with coronary artery disease presenting with chest pain-thinking outside the box.

    Amelotti, Nicola / Brusamolino, Matteo / Mapelli, Massimo / Contini, Mauro / Baggiano, Andrea / Fazzari, Fabio / Pontone, Gianluca / Agostoni, Piergiuseppe

    European heart journal. Case reports

    2024  Volume 8, Issue 5, Page(s) ytae220

    Abstract: Background: In a subset of patients, acute myocarditis (AM) may mimic acute myocardial infarction, with a similar clinical presentation characterized by chest pain, electrocardiogram (ECG) changes consistent with acute coronary syndromes (ACS), and ... ...

    Abstract Background: In a subset of patients, acute myocarditis (AM) may mimic acute myocardial infarction, with a similar clinical presentation characterized by chest pain, electrocardiogram (ECG) changes consistent with acute coronary syndromes (ACS), and serum markers increment.
    Case summary: We present two cases of infarct-like myocarditis in patients with known coronary artery disease (CAD), in which the discrepancy between transthoracic echocardiogram findings, ECG, and angiography prompted us to look beyond the simplest diagnosis. In these cases, making a prompt and correct diagnosis is pivotal to address adequate therapy and establish a correct prognosis.
    Discussion: The right diagnosis can avoid unnecessary coronary revascularizations and subsequent antiplatelet therapy that may be associated with an increased haemorrhagic risk. Moreover, it allows setting up guideline-directed therapy for myocarditis, proper follow-up, as well as recommending abstention from physical activity.
    Language English
    Publishing date 2024-04-26
    Publishing country England
    Document type Case Reports
    ISSN 2514-2119
    ISSN (online) 2514-2119
    DOI 10.1093/ehjcr/ytae220
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  7. Article ; Online: Dynamic myocardial CT perfusion imaging-state of the art.

    Sliwicka, Olga / Sechopoulos, Ioannis / Baggiano, Andrea / Pontone, Gianluca / Nijveldt, Robin / Habets, Jesse

    European radiology

    2023  Volume 33, Issue 8, Page(s) 5509–5525

    Abstract: In patients with suspected coronary artery disease (CAD), dynamic myocardial computed tomography perfusion (CTP) imaging combined with coronary CT angiography (CTA) has become a comprehensive diagnostic examination technique resulting in both anatomical ... ...

    Abstract In patients with suspected coronary artery disease (CAD), dynamic myocardial computed tomography perfusion (CTP) imaging combined with coronary CT angiography (CTA) has become a comprehensive diagnostic examination technique resulting in both anatomical and quantitative functional information on myocardial blood flow, and the presence and grading of stenosis. Recently, CTP imaging has been proven to have good diagnostic accuracy for detecting myocardial ischemia, comparable to stress magnetic resonance imaging and positron emission tomography perfusion, while being superior to single photon emission computed tomography. Dynamic CTP accompanied by coronary CTA can serve as a gatekeeper for invasive workup, as it reduces unnecessary diagnostic invasive coronary angiography. Dynamic CTP also has good prognostic value for the prediction of major adverse cardiovascular events. In this article, we will provide an overview of dynamic CTP, including the basics of coronary blood flow physiology, applications and technical aspects including protocols, image acquisition and reconstruction, future perspectives, and scientific challenges. KEY POINTS: • Stress dynamic myocardial CT perfusion combined with coronary CTA is a comprehensive diagnostic examination technique resulting in both anatomical and quantitative functional information. • Dynamic CTP imaging has good diagnostic accuracy for detecting myocardial ischemia comparable to stress MRI and PET perfusion. • Dynamic CTP accompanied by coronary CTA may serve as a gatekeeper for invasive workup and can guide treatment in obstructive coronary artery disease.
    MeSH term(s) Humans ; Coronary Artery Disease ; Predictive Value of Tests ; Coronary Angiography/methods ; Tomography, X-Ray Computed/methods ; Myocardial Ischemia/diagnostic imaging ; Computed Tomography Angiography ; Myocardial Perfusion Imaging/methods ; Coronary Stenosis ; Fractional Flow Reserve, Myocardial
    Language English
    Publishing date 2023-03-30
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-023-09550-y
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  8. Article ; Online: Personalized Pressure Conditions and Calibration for a Predictive Computational Model of Coronary and Myocardial Blood Flow.

    Montino Pelagi, Giovanni / Baggiano, Andrea / Regazzoni, Francesco / Fusini, Laura / Alì, Marco / Pontone, Gianluca / Valbusa, Giovanni / Vergara, Christian

    Annals of biomedical engineering

    2024  Volume 52, Issue 5, Page(s) 1297–1312

    Abstract: Predictive modeling of hyperemic coronary and myocardial blood flow (MBF) greatly supports diagnosis and prognostic stratification of patients suffering from coronary artery disease (CAD). In this work, we propose a novel strategy, using only readily ... ...

    Abstract Predictive modeling of hyperemic coronary and myocardial blood flow (MBF) greatly supports diagnosis and prognostic stratification of patients suffering from coronary artery disease (CAD). In this work, we propose a novel strategy, using only readily available clinical data, to build personalized inlet conditions for coronary and MBF models and to achieve an effective calibration for their predictive application to real clinical cases. Experimental data are used to build personalized pressure waveforms at the aortic root, representative of the hyperemic state and adapted to surrogate the systolic contraction, to be used in computational fluid-dynamics analyses. Model calibration to simulate hyperemic flow is performed in a "blinded" way, not requiring any additional exam. Coronary and myocardial flow simulations are performed in eight patients with different clinical conditions to predict FFR and MBF. Realistic pressure waveforms are recovered for all the patients. Consistent pressure distribution, blood velocities in the large arteries, and distribution of MBF in the healthy myocardium are obtained. FFR results show great accuracy with a per-vessel sensitivity and specificity of 100% according to clinical threshold values. Mean MBF shows good agreement with values from stress-CTP, with lower values in patients with diagnosed perfusion defects. The proposed methodology allows us to quantitatively predict FFR and MBF, by the exclusive use of standard measures easily obtainable in a clinical context. This represents a fundamental step to avoid catheter-based exams and stress tests in CAD diagnosis.
    MeSH term(s) Humans ; Coronary Angiography/methods ; Calibration ; Fractional Flow Reserve, Myocardial ; Predictive Value of Tests ; Coronary Artery Disease ; Computer Simulation ; Coronary Stenosis
    Language English
    Publishing date 2024-02-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 185984-5
    ISSN 1573-9686 ; 0191-5649 ; 0090-6964
    ISSN (online) 1573-9686
    ISSN 0191-5649 ; 0090-6964
    DOI 10.1007/s10439-024-03453-9
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  9. Article ; Online: A patient with rapid worsening dyspnoea during Covid-19 pandemic.

    Baggiano, Andrea / Rizzo, Stefania / Basso, Cristina / Pontone, Gianluca

    European heart journal

    2020  Volume 42, Issue 6, Page(s) 717–718

    MeSH term(s) Biopsy ; COVID-19/complications ; Dyspnea/virology ; Humans ; Male ; Middle Aged ; Myocarditis/diagnostic imaging ; Myocarditis/pathology ; Myocarditis/virology ; Myocardium/pathology ; SARS-CoV-2
    Language English
    Publishing date 2020-12-12
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 603098-1
    ISSN 1522-9645 ; 0195-668X
    ISSN (online) 1522-9645
    ISSN 0195-668X
    DOI 10.1093/eurheartj/ehaa988
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  10. Article ; Online: CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline.

    Gerbasi, Alessia / Dagliati, Arianna / Albi, Giuseppe / Chiesa, Mattia / Andreini, Daniele / Baggiano, Andrea / Mushtaq, Saima / Pontone, Gianluca / Bellazzi, Riccardo / Colombo, Gualtiero

    Computer methods and programs in biomedicine

    2023  Volume 244, Page(s) 107989

    Abstract: Background and objective: The standard non-invasive imaging technique used to assess the severity and extent of Coronary Artery Disease (CAD) is Coronary Computed Tomography Angiography (CCTA). However, manual grading of each patient's CCTA according to ...

    Abstract Background and objective: The standard non-invasive imaging technique used to assess the severity and extent of Coronary Artery Disease (CAD) is Coronary Computed Tomography Angiography (CCTA). However, manual grading of each patient's CCTA according to the CAD-Reporting and Data System (CAD-RADS) scoring is time-consuming and operator-dependent, especially in borderline cases. This work proposes a fully automated, and visually explainable, deep learning pipeline to be used as a decision support system for the CAD screening procedure. The pipeline performs two classification tasks: firstly, identifying patients who require further clinical investigations and secondly, classifying patients into subgroups based on the degree of stenosis, according to commonly used CAD-RADS thresholds.
    Methods: The pipeline pre-processes multiplanar projections of the coronary arteries, extracted from the original CCTAs, and classifies them using a fine-tuned Multi-Axis Vision Transformer architecture. With the aim of emulating the current clinical practice, the model is trained to assign a per-patient score by stacking the bi-dimensional longitudinal cross-sections of the three main coronary arteries along channel dimension. Furthermore, it generates visually interpretable maps to assess the reliability of the predictions.
    Results: When run on a database of 1873 three-channel images of 253 patients collected at the Monzino Cardiology Center in Milan, the pipeline obtained an AUC of 0.87 and 0.93 for the two classification tasks, respectively.
    Conclusion: According to our knowledge, this is the first model trained to assign CAD-RADS scores learning solely from patient scores and not requiring finer imaging annotation steps that are not part of the clinical routine.
    MeSH term(s) Humans ; Coronary Artery Disease/diagnostic imaging ; Computed Tomography Angiography/methods ; Reproducibility of Results ; Deep Learning ; Coronary Angiography/methods ; Predictive Value of Tests ; Coronary Stenosis
    Language English
    Publishing date 2023-12-21
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2023.107989
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