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Santangelo G, Gherbesi E, Donisi L, Faggiano A, Bergamaschi L, Pizzi C, Carugo S, Ruscica M, Faggiano P. Imaging approaches in risk stratification of patients with coronary artery disease: a narrative review. Arch Med Sci 2024; 21:16-31. [PMID: 40190322 PMCID: PMC11969509 DOI: 10.5114/aoms/188808] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/16/2024] [Indexed: 04/09/2025] Open
Abstract
Coronary artery disease (CAD) is the most common cause of mortality among adults worldwide. In the prognostic risk stratification of these patients, crucial determinants are lumen stenosis, total volume and composition of the plaque. Considering that most of the myocardial infarctions are due to non-obstructive plaques or are associated with high-risk features, plaque composition can serve as an independent predictor of cardiac outcomes. Conversely, although there is a close relationship between ischemia and CAD severity, the assessment of the degree of ischemia, as a surrogate marker of the coronary plaque burden, remains a controversial issue. Thus, aim of this narrative review is to discuss the usefulness of the imaging methodologies to differentiate the ischemia vs the plaque burden in clinical practice. New diagnostic tools to evaluate the extent of the atheromatous coronary artery could help in tailoring a personalized therapeutic approach.
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Affiliation(s)
- Gloria Santangelo
- Department of Cardio-Thoracic-Vascular Diseases, IRCCS Foundation Ca’ Granda Hospital Maggiore Polyclinic, Milan, Italy
| | - Elisa Gherbesi
- Department of Cardio-Thoracic-Vascular Diseases, IRCCS Foundation Ca’ Granda Hospital Maggiore Polyclinic, Milan, Italy
| | - Luca Donisi
- Department of Cardio-Thoracic-Vascular Diseases, IRCCS Foundation Ca’ Granda Hospital Maggiore Polyclinic, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Andrea Faggiano
- Department of Cardio-Thoracic-Vascular Diseases, IRCCS Foundation Ca’ Granda Hospital Maggiore Polyclinic, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Luca Bergamaschi
- Cardiology Unit, IRCCS University Hospital of Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences – DIMEC – Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Carmine Pizzi
- Cardiology Unit, IRCCS University Hospital of Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences – DIMEC – Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Stefano Carugo
- Department of Cardio-Thoracic-Vascular Diseases, IRCCS Foundation Ca’ Granda Hospital Maggiore Polyclinic, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Massimiliano Ruscica
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Department of Pharmacological and Biomolecular Sciences “Rodolfo Paoletti”, University of Milan, Milan, Italy
| | - Pompilio Faggiano
- Poliambulance Foundation, Department of Cardiothoracic, Brescia, Italy
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Hubbard L, Molloi S. Low-dose quantitative CT myocardial flow measurement using a single volume scan: phantom and animal validation. J Med Imaging (Bellingham) 2023; 10:056002. [PMID: 37915404 PMCID: PMC10617548 DOI: 10.1117/1.jmi.10.5.056002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 11/03/2023] Open
Abstract
Purpose To validate a low-dose, single-volume quantitative CT myocardial flow technique in a cardiovascular flow phantom and a swine animal model of coronary artery disease. Approach A cardiovascular flow phantom was imaged dynamically over different flow rates (0.97 to 2.45 mL / min / g ) using 15 mL of contrast per injection. Six swine (37 ± 8 kg ) were also imaged dynamically, with different left anterior descending coronary artery balloon stenoses assessed under intracoronary adenosine stress, using 1 mL / kg of contrast per injection. The resulting images were used to simulate dynamic bolus tracking and peak volume scan acquisition. After which, first-pass single-compartment modeling was performed to derive quantitative flow, where the pre-contrast myocardial attenuation was assumed to be spatially uniform. The accuracy of CT flow was then assessed versus ultrasound and microsphere flow in the phantom and animal models, respectively, using regression analysis. Results Single-volume quantitative CT flow measurements in the phantom (Q CT _ PHANTOM ) were related to reference ultrasound flow measurements (Q US ) by Q CT _ PHANTOM = 1.04 Q US - 0.1 (Pearson's r = 0.98 ; RMSE = 0.09 mL / min / g ). In the animal model (Q CT _ ANIMAL ), they were related to reference microsphere flow measurements (Q MICRO ) by Q CT _ ANIMAL = 1.00 Q MICRO - 0.05 (Pearson's r = 0.96 ; RMSE = 0.48 mL / min / g ). The effective dose per CT measurement was 1.21 mSv. Conclusions The single-volume quantitative CT flow technique only requires bolus tracking data, spatially uniform pre-contrast myocardial attenuation, and a single volume scan acquired near the peak aortic enhancement for accurate, low-dose, myocardial flow measurement (in mL/min/g) under rest and adenosine stress conditions.
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Affiliation(s)
- Logan Hubbard
- University of California, Irvine, Department of Radiological Sciences, Irvine, California, United States
| | - Sabee Molloi
- University of California, Irvine, Department of Radiological Sciences, Irvine, California, United States
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Sliwicka O, Sechopoulos I, Baggiano A, Pontone G, Nijveldt R, Habets J. Dynamic myocardial CT perfusion imaging-state of the art. Eur Radiol 2023; 33:5509-5525. [PMID: 36997751 PMCID: PMC10326111 DOI: 10.1007/s00330-023-09550-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/02/2023] [Accepted: 02/22/2023] [Indexed: 04/01/2023]
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.
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Affiliation(s)
- Olga Sliwicka
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - Ioannis Sechopoulos
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Andrea Baggiano
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Gianluca Pontone
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Robin Nijveldt
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jesse Habets
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
- Department of Radiology and Nuclear Medicine, Haaglanden Medical Center, The Hague, The Netherlands
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Vats N, Mayer P, Kortes F, Klauß M, Grenacher L, Stiller W, Kauczor HU, Skornitzke S. Evaluation and timing optimization of CT perfusion first pass analysis in comparison to maximum slope model in pancreatic adenocarcinoma. Sci Rep 2023; 13:10595. [PMID: 37391443 PMCID: PMC10313720 DOI: 10.1038/s41598-023-37381-w] [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: 12/15/2022] [Accepted: 06/21/2023] [Indexed: 07/02/2023] Open
Abstract
For implementation, performance evaluation and timing optimization of CT perfusion first pass analysis (FPA) by correlation with maximum slope model (MSM) in pancreatic adenocarcinoma, dynamic CT perfusion acquisitions of 34 time-points were performed in 16 pancreatic adenocarcinoma patients. Regions of interest were marked in both parenchyma and carcinoma. FPA, a low radiation exposure CT perfusion technique, was implemented. Blood flow (BF) perfusion maps were calculated using FPA and MSM. Pearson's correlation between FPA and MSM was calculated at each evaluated time-point to determine optimum timing for FPA. Differences in BF between parenchyma and carcinoma were calculated. Average BF for MSM was 106.8 ± 41.5 ml/100 ml/min in parenchyma and 42.0 ± 24.8 ml/100 ml/min in carcinoma, respectively. For FPA, values ranged from 85.6 ± 37.5 ml/100 ml/min to 117.7 ± 44.5 ml/100 ml/min in parenchyma and from 27.3 ± 18.8 ml/100 ml/min to 39.5 ± 26.6 ml/100 ml/min in carcinoma, depending on acquisition timing. A significant difference (p value < 0.0001) between carcinoma and parenchyma was observed at all acquisition times based on FPA measurements. FPA shows high correlation with MSM (r > 0.90) and 94% reduction in the radiation dose compared to MSM. CT perfusion FPA, where the first scan is obtained after the arterial input function exceeds a threshold of 120 HU, followed by a second scan after 15.5-20.0 s, could be used as a potential imaging biomarker with low radiation exposure for diagnosing and evaluating pancreatic carcinoma in clinical practice, showing high correlation with MSM and the ability to differentiate between parenchyma and carcinoma.
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Affiliation(s)
- Neha Vats
- Clinic for Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Philipp Mayer
- Clinic for Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Franziska Kortes
- Clinic for Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
- Radiology Rhein-Neckar, Bodelschwinghstraße 10, 68723, Schwetzingen, Germany
| | - Miriam Klauß
- Clinic for Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Lars Grenacher
- Clinic for Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
- Conradia Radiology and Medical Prevention, Conradia Radiologie München, Augustenstraße 115, 80798, Munich, Germany
| | - Wolfram Stiller
- Clinic for Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Clinic for Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Stephan Skornitzke
- Clinic for Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
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