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Fahrni G, Saliba T, Racine D, Gulizia M, Tzimas G, Pozzessere C, Rotzinger DC. Trading off Iodine and Radiation Dose in Coronary Computed Tomography. J Cardiovasc Dev Dis 2025; 12:195. [PMID: 40422966 DOI: 10.3390/jcdd12050195] [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: 04/16/2025] [Revised: 05/08/2025] [Accepted: 05/17/2025] [Indexed: 05/28/2025] Open
Abstract
Coronary CT angiography (CCTA) has seen steady progress since its inception, becoming a key player in the non-invasive assessment of coronary artery disease (CAD). Advancements in CT technology, including iterative and deep-learning-based reconstruction, wide-area detectors, and dual-source systems, have helped mitigate early limitations, such as high radiation doses, motion artifacts, high iodine load, and non-diagnostic image quality. However, the adjustments between ionizing radiation and iodinated contrast material (CM) volumes remain a critical concern, especially due to the increasing use of CCTA in various indications. This review explores the balance between radiation and CM volumes, emphasizing patient-specific protocol optimization to improve diagnostic accuracy while minimizing risks. Radiation dose reduction strategies, such as low tube voltage protocols, prospective ECG-gating, and modern reconstruction algorithms, have significantly decreased radiation exposure, with some studies achieving sub-millisievert doses. Similarly, CM volume optimization, including adjustments in strategies for calculating CM volume, iodine concentration, and flow protocols, plays a role in managing risks such as contrast-associated acute kidney injury, particularly in patients with renal impairment. Emerging technologies, such as photon-counting CT and deep-learning reconstruction, promise further improvements in dose efficiency and image quality. This review summarizes current evidence, highlights the benefits and limitations of dose control approaches, and provides practical recommendations for practitioners. By tailoring protocols to patient characteristics, such as age, renal function, and body habitus, clinicians can achieve an optimal trade-off between diagnostic accuracy and patient safety, ensuring optimal operation of CT systems in clinical practice.
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Affiliation(s)
- Guillaume Fahrni
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Thomas Saliba
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Damien Racine
- Institute of Radiation Physics, Lausanne University Hospital, University of Lausanne, Rue du Grand-Pré 1 46, 1007 Lausanne, Switzerland
| | - Marianna Gulizia
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Georgios Tzimas
- Department of Cardiology, Lausanne University Hospital, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Chiara Pozzessere
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - David C Rotzinger
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
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Cademartiri F, Maffei E, Cau R, Positano V, De Gori C, Celi S, Saba L, Bossone E, Meloni A. Current and future applications of photon-counting computed tomography in cardiovascular medicine. Heart 2025:heartjnl-2025-325790. [PMID: 40368454 DOI: 10.1136/heartjnl-2025-325790] [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: 01/24/2025] [Accepted: 04/29/2025] [Indexed: 05/16/2025] Open
Abstract
Photon-counting CT (PCCT) represents a transformative advancement in cardiac imaging, addressing key limitations of conventional CT. This review synthesises current evidence to demonstrate how PCCT's superior spatial resolution, enhanced tissue characterisation and multienergy capabilities broaden the diagnostic potential of cardiac CT. Applications include the precise detection and quantification of coronary artery calcifications, evaluation of coronary plaque burden and composition, improved assessment of coronary stents, and comprehensive myocardial tissue characterisation and perfusion analysis. By offering high-quality spectral information and detailed tissue characterisation, PCCT provides a non-invasive alternative for assessing coronary artery disease and myocardial pathology, reducing the need for invasive coronary angiography and cardiac MRI. Despite ongoing challenges in technology and clinical implementation, PCCT has the potential to revolutionise cardiovascular diagnostics, optimise diagnostic workflows and enhance patient care through more accurate, streamlined and comprehensive assessments.
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Affiliation(s)
- Filippo Cademartiri
- Department of Radiology, IRCCS SYNLAB SDN, Naples, Italy
- Department of Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - Erica Maffei
- Department of Radiology, IRCCS SYNLAB SDN, Naples, Italy
| | - Riccardo Cau
- Department of Radiology, University of Cagliari, Cagliari, Italy
| | - Vincenzo Positano
- Bioengineering Unit, Fondazione Toscana Gabriele Monasterio per la Ricerca Medica e di Sanita Pubblica, Pisa, Italy
| | - Carmelo De Gori
- Department of Radiology, Fondazione Toscana Gabriele Monasterio per la Ricerca Medica e di Sanita Pubblica, Pisa, Italy
| | - Simona Celi
- Bioengineering Unit, Fondazione Toscana Gabriele Monasterio per la Ricerca Medica e di Sanita Pubblica, Massa, Italy
| | - Luca Saba
- Department of Radiology, University of Cagliari, Cagliari, Italy
| | - Eduardo Bossone
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Antonella Meloni
- Bioengineering Unit, Fondazione Toscana Gabriele Monasterio per la Ricerca Medica e di Sanita Pubblica, Pisa, Italy
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Hagar MT, Schlett CL, Oechsner T, Varga-Szemes A, Emrich T, Chen XY, Kravchenko D, Tremamunno G, Vecsey-Nagy M, Molina-Fuentes MF, Krauss T, Taron J, Schuppert C, Bamberg F, Soschynski M. [Photon-Counting Detector CT: Advances and Clinical Applications in Cardiovascular Imaging]. ROFO-FORTSCHR RONTG 2025; 197:509-517. [PMID: 39566513 DOI: 10.1055/a-2452-0288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2024]
Abstract
Since the approval of the first dual-source photon-counting detector CT (PCD-CT) in the fall of 2021, significant insights have been gained in its application for cardiovascular imaging. This review aims to provide a comprehensive overview of the current state of knowledge and the growing body of research literature, illustrating innovative applications and perspectives through case examples.We conducted a structured literature review, identifying relevant studies via Google Scholar and PubMed, using the keywords "photon-counting detector", "cardiovascular CT", "cardiac CT", and "ultra-high-resolution CT". We analyzed studies published since January 2015. Additionally, we integrated our own clinical experiences and case examples.In addition to the well-known benefit of increased temporal resolution offered by dual-source scanners, dual-source PCD-CT provides three key advantages: 1) Optimized geometric dose efficiency with an improved contrast-to-noise ratio, 2) intrinsic spectral sensitivity, and 3) the ability for ultrahigh-resolution CT. This technology enables improved image quality or radiation dose reduction in established cardiovascular protocols. Its use in non-invasive cardiac diagnostics for obese patients, those with a high plaque burden, or after stent implantation appears technically feasible, potentially expanding the scope of CT. The spectral sensitivity also allows tailored image acquisition, reducing metallic artifacts and contrast agent doses in patients with renal impairment. Early studies and clinical experience support these potential applications of PCD-CT in cardiovascular diagnostics, suggesting workflow optimization and improved patient management.However, challenges remain, including high costs, large data volumes, somewhat longer reconstruction times, and technical difficulties in combining spectral sensitivity with ultra-high resolution. Prospective randomized studies with clinical endpoints are lacking to confirm the clear advantage over conventional scanners. Future research should focus on endpoint-based studies and robust cost-benefit analyses to evaluate the potential of this technology and facilitate its evidence-based integration in clinical practice. · Photon-counting detector CT represents a technological advancement in computed tomography.. · Spectral sensitivity enhances iodine signal and minimizes artifacts.. · Ultra-high-resolution CT allows precise imaging, even in stents and advanced sclerosis.. · This technology must be validated through endpoint-based, randomized studies.. · Hagar MT, Schlett CL, Oechsner T et al. Photon-Counting Detector CT: Advances and Clinical Applications in Cardiovascular Imaging. Rofo 2025; 197: 509-516.
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Affiliation(s)
- Muhammad Taha Hagar
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, United States
- Department of Diagnostic and Interventional Radiology, University of Freiburg Faculty of Medicine, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, University of Freiburg Faculty of Medicine, Freiburg, Germany
| | - Tim Oechsner
- Department of Diagnostic and Interventional Radiology, University of Freiburg Faculty of Medicine, Freiburg, Germany
| | - Akos Varga-Szemes
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, United States
| | - Tilman Emrich
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, United States
- Department of Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Xiao Yan Chen
- Computed Tomography, Siemens Healthineers AG, Forchheim, Germany
| | - Dmitrij Kravchenko
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, United States
- Department of Diagnostic and Interventional Radiology, University of Bonn, Bonn, Germany
| | - Giuseppe Tremamunno
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, United States
- Department of Medical Surgical Sciences and Translational Medicine, University of Rome La Sapienza, Rome, Italy
| | - Milán Vecsey-Nagy
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, United States
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | | | - Tobias Krauss
- Department of Diagnostic and Interventional Radiology, University of Freiburg Faculty of Medicine, Freiburg, Germany
| | - Jana Taron
- Department of Diagnostic and Interventional Radiology, University of Freiburg Faculty of Medicine, Freiburg, Germany
| | - Christopher Schuppert
- Department of Diagnostic and Interventional Radiology, University of Freiburg Faculty of Medicine, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University of Freiburg Faculty of Medicine, Freiburg, Germany
| | - Martin Soschynski
- Department of Diagnostic and Interventional Radiology, University of Freiburg Faculty of Medicine, Freiburg, Germany
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Caruso D, De Santis D, Tremamunno G, Santangeli C, Polidori T, Bona GG, Zerunian M, Del Gaudio A, Pugliese L, Laghi A. Deep learning reconstruction algorithm and high-concentration contrast medium: feasibility of a double-low protocol in coronary computed tomography angiography. Eur Radiol 2025; 35:2213-2221. [PMID: 39299952 PMCID: PMC11913928 DOI: 10.1007/s00330-024-11059-x] [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: 05/21/2024] [Revised: 06/28/2024] [Accepted: 08/16/2024] [Indexed: 09/22/2024]
Abstract
OBJECTIVE To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed utilizing high-strength deep learning image reconstructions (DLIR-H) compared to standard adaptive statistical iterative reconstruction (ASiR-V) protocol in non-obese patients. MATERIALS AND METHODS From June to October 2022, consecutive patients, undergoing clinically indicated CCTA, with BMI < 30 kg/m2 were prospectively included and randomly assigned into three groups: group A (100 kVp, ASiR-V 50%, iodine delivery rate [IDR] = 1.8 g/s), group B (80 kVp, DLIR-H, IDR = 1.4 g/s), and group C (80 kVp, DLIR-H, IDR = 1.2 g/s). High-concentration contrast medium was administered. Image quality analysis was evaluated by two radiologists. Radiation and contrast dose, and objective and subjective image quality were compared across the three groups. RESULTS The final population consisted of 255 patients (64 ± 10 years, 161 men), 85 per group. Group B yielded 42% radiation dose reduction (2.36 ± 0.9 mSv) compared to group A (4.07 ± 1.2 mSv; p < 0.001) and achieved a higher signal-to-noise ratio (30.5 ± 11.5), contrast-to-noise-ratio (27.8 ± 11), and subjective image quality (Likert scale score: 4, interquartile range: 3-4) compared to group A and group C (all p ≤ 0.001). Contrast medium dose in group C (44.8 ± 4.4 mL) was lower than group A (57.7 ± 6.2 mL) and B (50.4 ± 4.3 mL), all the comparisons were statistically different (all p < 0.001). CONCLUSION DLIR-H combined with 80-kVp CCTA with an IDR 1.4 significantly reduces radiation and contrast medium exposure while improving image quality compared to conventional 100-kVp with 1.8 IDR protocol in non-obese patients. CLINICAL RELEVANCE STATEMENT Low radiation and low contrast medium dose coronary CT angiography protocol is feasible with high-strength deep learning reconstruction and high-concentration contrast medium without compromising image quality. KEY POINTS Minimizing the radiation and contrast medium dose while maintaining CT image quality is highly desirable. High-strength deep learning iterative reconstruction protocol yielded 42% radiation dose reduction compared to conventional protocol. "Double-low" coronary CTA is feasible with high-strength deep learning reconstruction without compromising image quality in non-obese patients.
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Affiliation(s)
- Damiano Caruso
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Domenico De Santis
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Tremamunno
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Curzio Santangeli
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Tiziano Polidori
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Giovanna G Bona
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Marta Zerunian
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Antonella Del Gaudio
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Luca Pugliese
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Andrea Laghi
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy.
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Dabli D, Pastor M, Faby S, Erath J, Croisille C, Pereira F, Beregi JP, Greffier J. Photon-counting versus energy-integrating CT of abdomen-pelvis: a phantom study on the potential for reducing iodine contrast media. Eur Radiol Exp 2025; 9:36. [PMID: 40121590 PMCID: PMC11930902 DOI: 10.1186/s41747-025-00573-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Accepted: 02/18/2025] [Indexed: 03/25/2025] Open
Abstract
BACKGROUND To assess the potential of virtual monoenergetic images (VMIs) on a photon-counting computed tomography (PCCT) for reducing the amount of injected iodine contrast media compared to an energy-integrating CT (EICT). METHODS A multienergy phantom was scanned with a PCCT and EICT at 11 mGy with abdomen-pelvis examination parameters. VMIs were generated at 40 keV, 50 keV, 60 keV, and 70 keV. For all VMIs, the contrast-to-noise ratio (CNR) of iodine inserts with concentrations of 1 mg/mL, 2 mg/mL, 5 mg/mL, 10 mg/mL, and 15 mg/mL was calculated by dividing the signal difference between HU in iodine inserts versus solid water by the noise value assessed on solid water. The potential reduction in iodine media was calculated by the rate of reduction in iodine concentration with PCCT while maintaining the same CNR obtained with EICT for the reference concentration. RESULTS Significantly higher CNR values were found with PCCT at all VMI energy levels for iodine concentrations above 1 mg/mL. The highest reduction was observed at 40 keV, with a value of 48.9 ± 1.6% (mean ± standard deviation). It decreased as the energy level increased, by 38.5 ± 0.5%, and 30.8 ± 0.8% for 50 and 60 keV, respectively. For 70 keV, the potential reduction of 24.4 ± 1.1% was found for iodine concentrations above 1 mg/mL. This reduction reached 57 ± 2.3% at 40 keV with PCCT compared to 60 keV with EICT. CONCLUSION For abdomen-pelvis protocols, the use of VMIs with PCCT significantly improved the CNR of iodine, offering the potential to reduce the required contrast medium. RELEVANCE STATEMENT The use of VMIs with PCCT may reduce the quantity of iodine contrast medium to be injected compared with EICT, limiting costs, the risk of adverse effects, and the amount of contrast agent released into the wastewater. KEY POINTS PCCT improves the image quality of VMIs. PCCT offers the potential for reducing the amount of injected contrast medium. PCCT potential for reducing the injected contrast medium depends on energy level.
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Affiliation(s)
- Djamel Dabli
- Department of medical imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, UR UM103 IMAGINE, Nîmes, France.
| | - Maxime Pastor
- Department of medical imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, UR UM103 IMAGINE, Nîmes, France
| | - Sebastian Faby
- Department of Computed Tomography, Siemens Healthineers AG, Forchheim, Germany
| | - Julien Erath
- Department of Computed Tomography, Siemens Healthineers AG, Forchheim, Germany
| | - Cédric Croisille
- Department of Computed Tomography, Siemens Healthineers AG, Forchheim, Germany
| | | | - Jean-Paul Beregi
- Department of medical imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, UR UM103 IMAGINE, Nîmes, France
| | - Joël Greffier
- Department of medical imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, UR UM103 IMAGINE, Nîmes, France
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Caruso D. Innovation and Optimization of Contrast Media Administration in Computed Tomography. Korean J Radiol 2025; 26:210-212. [PMID: 39999960 PMCID: PMC11865897 DOI: 10.3348/kjr.2024.1159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2024] [Revised: 12/19/2024] [Accepted: 12/31/2024] [Indexed: 02/27/2025] Open
Affiliation(s)
- Damiano Caruso
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy.
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Klambauer K, Lisi C, Moser LJ, Mergen V, Flohr T, Eberhard M, Alkadhi H. Multienergy cardiovascular CT imaging: current state and future. Br J Radiol 2025; 98:321-329. [PMID: 39656967 PMCID: PMC11840172 DOI: 10.1093/bjr/tqae246] [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: 07/18/2024] [Revised: 10/18/2024] [Accepted: 11/27/2024] [Indexed: 12/17/2024] Open
Abstract
Multienergy cardiovascular CT imaging can be defined as data acquisition at 2 (dual-energy) or multiple X-ray energies. Multienergy cardiovascular CT imaging provides additional qualitative and quantitative information such as material maps or virtual monoenergetic images, which are supposed to further improve the quality and diagnostic yield of CT. Recently introduced photon-counting detector CT scanners further address some of the challenges and limitations of previous, conventional CT machines, hereby enhancing and extending the applications of CT for cardiovascular imaging. This review summarizes the technical principles of multienergy cardiovascular CT imaging and addresses the optimization of image quality and discusses the various dual-energy-based applications for coronary, valvular, and myocardial imaging. New developments in regard to k-edge imaging and new contrast media for multienergy cardiovascular CT imaging are being also discussed.
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Affiliation(s)
- Konstantin Klambauer
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Costanza Lisi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
- Department of Biomedical Sciences, Humanitas University, 20090 Milan, Italy
| | - Lukas Jakob Moser
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Victor Mergen
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Thomas Flohr
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, 6229 Maastricht, The Netherlands
| | - Matthias Eberhard
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
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Popp D, Siedlecki M, Friedrich L, Haerting M, Scheurig-Muenkler C, Schwarz F, Kroencke T, Bette S, Decker JA. Potential of photon-counting detector CT technology for contrast medium reduction in portal venous phase thoracoabdominal CT. Eur Radiol 2025:10.1007/s00330-025-11409-3. [PMID: 39939421 DOI: 10.1007/s00330-025-11409-3] [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: 10/01/2024] [Revised: 12/17/2024] [Accepted: 01/13/2025] [Indexed: 02/14/2025]
Abstract
OBJECTIVES To compare image quality and iodine attenuation intra-individually in portal venous phase photon-counting detector CT (PCD-CT) scans using protocols with different contrast medium (CM) volume. MATERIALS AND METHODS A prospectively acquired patient cohort between 04/2021 and 11/2023 was retrospectively screened if patients had the following combination of portal venous phase thoracoabdominal CT scans: (a) PCD-CT with 120 mL CM volume (PCD-CT120 mL), (b) PCD-CT with 100 mL CM volume (PCD-CT100 mL), and (c) prior energy-integrating detector CT (EID-CT) with 120 mL CM volume. On PCD-CT, virtual monoenergetic image (VMI) reconstructions at 70 keV were applied for both groups as well as additional VMI at 60 keV for PCD‑CT100 mL. Quantitative analyses including signal-to-noise (SNR) and contrast-to-noise ratios (CNR) and qualitative analyses were performed using a mixed linear effects model. RESULTS The final study cohort comprised 49 patients (mean age 67 [31-86] years, 12 female). Comparison to EID-CT was available in 33 patients. In standard 70 keV VMI reconstructions, PCD-CT100 mL was non-inferior to PCD-CT120 mL as well as to EID-CT120 mL for CNR in abdominal organs (all p > 0.050). The mixed linear effects model revealed significant differences between contrast volume groups for both contrast enhancement and image quality ratings. PCD-CT100 mL/70 keV demonstrated the smallest deviation from optimal contrast enhancement (-0.306, p < 0.001). CONCLUSION In portal venous phase thoracoabdominal PCD-CT, a nearly 17% reduction in CM was achievable while maintaining subjective and objective image quality compared to prior higher CM volume PCD-CT scans within the same patients and still surpassing image quality of previous exams on an EID-CT system. KEY POINTS Question How do image quality and iodine attenuation intra-individually compare in portal venous phase photon-counting detector CT (PCD-CT) scans using protocols with different contrast medium volume. Findings PCD-CT scans exhibit superior quantitative and qualitative image quality compared to energy-integrating detector-CT acquisitions and are not negatively affected by contrast volume reductions up to 17%. Clinical relevance This study provides further evidence that PCD-CT enables a considerable reduction in iodine dose for portal venous phase acquisition, benefiting both patients and healthcare system costs.
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Affiliation(s)
- Daniel Popp
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Augsburg, Germany
- Department of Radiology and Nuclear medicine, Kantonspital St. Gallen, St. Gallen, Switzerland
| | - Martin Siedlecki
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Lena Friedrich
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Mark Haerting
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Christian Scheurig-Muenkler
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Florian Schwarz
- Institute for Radiology, DONAUISAR Hospital Deggendorf-Dingolfing-Landau, Deggendorf, Germany
- Medical Faculty, Ludwig Maximilian University Munich, Munich, Germany
| | - Thomas Kroencke
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
- Centre for Advanced Analytics and Predictive Sciences (CAAPS), University of Augsburg, Augsburg, Germany.
| | - Stefanie Bette
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Josua A Decker
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Augsburg, Germany
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9
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Oechsner T, Soschynski M, Schlett CL, Krauss T, Schupppert C, Müller-Peltzer K, Vecsey-Nagy M, Kravchenko D, Varga-Szemes Á, Emrich T, Scheu R, Taron J, Bamberg F, Hagar MT. Feasibility of very low iodine dose aortoiliac CT angiography using dual-source photon-counting detector CT. Eur J Radiol 2025; 183:111919. [PMID: 39823660 DOI: 10.1016/j.ejrad.2025.111919] [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: 10/29/2024] [Revised: 12/13/2024] [Accepted: 01/02/2025] [Indexed: 01/19/2025]
Abstract
PURPOSE To evaluate the feasibility of aortoiliac CT-Angiography (CTA) using dual-source photon-counting detector (PCD)-CT with minimal iodine dose. METHODS This IRB-approved, single-center prospective study enrolled patients with indications for aortoiliac CTA from December 2022 to March 2023. All scans were performed using a first-generation dual-source PCD-CT. Images were acquired with fast pitch and full spectral capabilities (collimation 144 × 0.4 mm). The contrast protocol included a mixture of sodium chloride and iodinated contrast agent (Iopromide, total iodine dose: 9.5-9.8 g). Virtual monoenergetic images (VMIs) were reconstructed at 40, 50, 60, and 68 keV. Two blinded radiologists evaluated image quality on a 4-point scale. Attenuation was measured across eight regions in the aorta and iliac arteries, and contrast-to-noise ratio (CNR) was calculated. Statistical comparisons were performed using repeated measures ANOVA and Bonferroni post-hoc tests. RESULTS The final cohort consisted of 39 subjects (mean age: 69.6 ± 9.6 years; 30.8 % female). VMI at 40 keV provided significantly higher attenuation: 478 ± 114 HU, compared to 50 keV (331 ± 74 HU), 60 keV (241 ± 51 HU), and 68 keV (190 ± 48 HU) (p < 0.01). This translated in increased CNR for 40 keV reconstructions (11.8 ± 3.9), followed by 50 keV (9.1 ± 3.0), 60 keV (7.0 ± 2.3), and 68 keV (6.1 ± 1.9) (p < 0.01). Subjective image quality was rated excellent at 40 keV (4 [3,4]), though associated with highest noise (38 ± 7.4 HU, p = 0.02). CONCLUSION Aortoiliac CTA using dual-source PCD-CT at 40 keV achieved high attenuation and CNR, enabling effective imaging with only 9.8 g of iodine.
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Affiliation(s)
- Tim Oechsner
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Martin Soschynski
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Tobias Krauss
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christopher Schupppert
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Katharina Müller-Peltzer
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Milán Vecsey-Nagy
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA; Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Dmitrij Kravchenko
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Ákos Varga-Szemes
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA
| | - Tilman Emrich
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA; Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Raphael Scheu
- Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Jana Taron
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Muhammad Taha Hagar
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA.
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10
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Dirrichs T, Schröder J, Frick M, Huppertz M, Iwa R, Allmendinger T, Mecking I, Kuhl CK. Photon-Counting Versus Dual-Source CT for Transcatheter Aortic Valve Implantation Planning. Acad Radiol 2024; 31:4780-4789. [PMID: 38906782 DOI: 10.1016/j.acra.2024.06.014] [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: 05/02/2024] [Revised: 06/07/2024] [Accepted: 06/07/2024] [Indexed: 06/23/2024]
Abstract
BACKGROUND Cardiovascular CT is required for planning transcatheter aortic valve implantation (TAVI). PURPOSE To compare image quality, suitability for TAVI planning, and radiation dose of photon-counting CT (PCCT) with that of dual-source CT (DSCT). MATERIAL AND METHODS Retrospective study on consecutive TAVI candidates with aortic valve stenosis who underwent contrast-enhanced aorto-ilio-femoral PCCT and/or DSCT between 01/2022 and 07/2023. Signal-to-noise (SNR) and contrast-to-noise ratio (CNR) were calculated by standardized ROI analysis. Image quality and suitability for TAVI planning were assessed by four independent expert readers (two cardiac radiologists, two cardiologists) on a 5-point-scale. CT dose index (CTDI) and dose-length-product (DLP) were used to calculate effective radiation dose (eRD). RESULTS 300 patients (136 female, median age: 81 years, IQR: 76-84) underwent 302 CT examinations, with PCCT in 202, DSCT in 100; two patients underwent both. Although SNR and CNR were significantly lower in PCCT vs. DSCT images (33.0 ± 10.5 vs. 47.3 ± 16.4 and 47.3 ± 14.8 vs. 59.3 ± 21.9, P < .001, respectively), visual image quality was higher in PCCT vs. DSCT (4.8 vs. 3.3, P < .001), with moderate overall interreader agreement among radiologists and among cardiologists (κ = 0.60, respectively). Image quality was rated as "excellent" in 160/202 (79.2%) of PCCT vs. 5/100 (5%) of DSCT cases. Readers found images suitable to depict the aortic valve hinge points and to map the femoral access path in 99% of PCCT vs. 85% of DSCT (P < 0.01), with suitability ranked significantly higher in PCCT vs. DSCT (4.8 vs. 3.3, P < .001). Mean CTDI and DLP, and thus eRD, were significantly lower for PCCT vs. DSCT (22.4 vs. 62.9; 519.4 vs. 895.5, and 8.8 ± 4.5 mSv vs. 15.3 ± 5.8 mSv; all P < .001). CONCLUSION PCCT improves image quality, effectively avoids non-diagnostic CT imaging for TAVI planning, and is associated with a lower radiation dose compared to state-of-the-art DSCT. Radiologists and cardiologists found PCCT images more suitable for TAVI planning.
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Affiliation(s)
- Timm Dirrichs
- Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen 52074, Germany.
| | - Jörg Schröder
- Department of Cardiology, Angiology and Internal Intensive Care, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen 52074, Germany
| | - Michael Frick
- Department of Cardiology, Angiology and Internal Intensive Care, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen 52074, Germany
| | - Marc Huppertz
- Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen 52074, Germany
| | - Roman Iwa
- Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen 52074, Germany
| | | | - Ines Mecking
- Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen 52074, Germany
| | - Christiane K Kuhl
- Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen 52074, Germany
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11
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Sartoretti T, McDermott MC, Stammen L, Martens B, Moser LJ, Jost G, Pietsch H, Gutjahr R, Nowak T, Schmidt B, Flohr TG, Wildberger JE, Alkadhi H. Tungsten-Based Contrast Agent for Photon-Counting Detector CT Angiography in Calcified Coronaries: Comparison to Iodine in a Cardiovascular Phantom. Invest Radiol 2024; 59:677-683. [PMID: 38526041 PMCID: PMC11827686 DOI: 10.1097/rli.0000000000001073] [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: 01/14/2024] [Revised: 02/04/2024] [Indexed: 03/26/2024]
Abstract
OBJECTIVES Calcified plaques induce blooming artifacts in coronary computed tomography angiography (CCTA) potentially leading to inaccurate stenosis evaluation. Tungsten represents a high atomic number, experimental contrast agent with different physical properties than iodine. We explored the potential of a tungsten-based contrast agent for photon-counting detector (PCD) CCTA in heavily calcified coronary vessels. MATERIALS AND METHODS A cardiovascular phantom exhibiting coronaries with calcified plaques was imaged on a first-generation dual-source PCD-CT. The coronaries with 3 different calcified plaques were filled with iodine and tungsten contrast media solutions equating to iodine and tungsten delivery rates (IDR and TDR) of 0.3, 0.5, 0.7, 1.0, 1.5, 2.0, 2.5, and 3.0 g/s, respectively. Electrocardiogram-triggered sequential acquisitions were performed in the spectral mode (QuantumPlus). Virtual monoenergetic images (VMIs) were reconstructed from 40 to 190 keV in 1 keV increments. Blooming artifacts and percentage error stenoses from calcified plaques were quantified, and attenuation characteristics of both contrast media were recorded. RESULTS Blooming artifacts from calcified plaques were most pronounced at 40 keV (78%) and least pronounced at 190 keV (58%). Similarly, percentage error stenoses were highest at 40 keV (48%) and lowest at 190 keV (2%), respectively. Attenuation of iodine decreased monotonically in VMIs from low to high keV, with the strongest decrease from 40 keV to 100 keV (IDR of 2.5 g/s: 1279 HU at 40 keV, 187 HU at 100 kV, and 35 HU at 190 keV). The attenuation of tungsten, on the other hand, increased monotonically as a function of VMI energy, with the strongest increase between 40 and 100 keV (TDR of 2.5 g/s: 202 HU at 40 keV, 661 HU at 100 kV, and 717 HU at 190 keV). For each keV level, the relationship between attenuation and IDR/TDR could be described by linear regressions ( R2 ≥ 0.88, P < 0.001). Specifically, attenuation increased linearly when increasing the delivery rate irrespective of keV level or contrast medium. Iodine exhibited the highest relative increase in attenuation values at lower keV levels when increasing the IDR. Conversely, for tungsten, the greatest relative increase in attenuation values occurred at higher keV levels when increasing the TDR. When high keV imaging is desirable to reduce blooming artifacts from calcified plaques, IDR has to be increased at higher keV levels to maintain diagnostic vessel attenuation (ie, 300 HU), whereas for tungsten, TDR can be kept constant or can be even reduced at high keV energy levels. CONCLUSIONS Tungsten's attenuation characteristics in relation to VMI energy levels are reversed to those of iodine, with tungsten exhibiting high attenuation values at high keV levels and vice versa. Thus, tungsten shows promise for high keV imaging CCTA with PCD-CT as-in distinction to iodine-both high vessel attenuation and low blooming artifacts from calcified plaques can be achieved.
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12
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Hoeijmakers EJI, Stammen L, Wildberger JE, Eijsvoogel NG, Hersbach JM, Pernot JCJG, Flohr TG, Martens B, Jeukens CRLPN. PCD-CT enables contrast media reduction in abdominal imaging compared to an individualized kV-adapted contrast media injection protocol on EID-CT. Eur J Radiol 2024; 179:111680. [PMID: 39133989 DOI: 10.1016/j.ejrad.2024.111680] [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: 07/17/2024] [Accepted: 08/08/2024] [Indexed: 09/01/2024]
Abstract
OBJECTIVES This study aims to demonstrate reduced iodine contrast media (CM) in routine abdominal CT scans in portal venous phase (PVP) using a photon-counting detector CT (PCD-CT) compared to total body weight (TBW) and kV-adapted CM injection protocols on a state-of-the-art energy-integrating detector CT (EID-CT) while maintaining sufficient image quality (IQ). MATERIALS AND METHODS Consecutive contrast-enhanced abdominal PVP CT scans from an EID-CT (Nov 2022-March 2024) and a PCD-CT (Sep 2023-Dec 2023) were compared. CM parameters (total iodine load (TIL), iodine delivery rate (IDR) and dosing factor (DF)) were reported. An individualized acquisition and CM injection protocol based on TBW and kV was applied for the EID-CT and a TBW adapted CM injection protocol was used for the PCD-CT. Objective IQ was evaluated with mean attenuation (Hounsfield Units, HU), signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR)). Subjective IQ was assessed via a 5-point Likert scale by 2 expert readers based on diagnostic confidence. RESULTS Based on 91 EID-CT scans and 102 PCD-CT scans a TIL reduction of 20.1 % was observed for PCD-CT. PCD-CT demonstrated significantly higher SNR (9.9 ± 1.7 vs. 9.1 ± 1.8, p < 0.001) and CNR (5.1 ± 1.7 vs. 4.3 ± 1.3, p < 0.001) compared to EID-CT. Subjective IQ assessment showed that all scans had sufficient diagnostic IQ. CONCLUSIONS PCD-CT allows for CM reduction while providing higher SNR and CNR compared to EID-CT, using clinical individualized scan and CM injection protocols.
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Affiliation(s)
- Eva J I Hoeijmakers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6200 MD Maastricht, the Netherlands.
| | - Lion Stammen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6200 MD Maastricht, the Netherlands
| | - Joachim E Wildberger
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6200 MD Maastricht, the Netherlands
| | - Nienke G Eijsvoogel
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands
| | - Johanna M Hersbach
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands
| | - Joey C J G Pernot
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands
| | - Thomas G Flohr
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands; Siemens Healthineers, Siemensstrasse 1, 91301 Forcheim, Germany
| | - Bibi Martens
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands; GROW-School for Oncology and Reproduction, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, the Netherlands
| | - Cécile R L P N Jeukens
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands
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13
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Tore D, Faletti R, Palmisano A, Salto S, Rocco K, Santonocito A, Gaetani C, Biondo A, Bozzo E, Giorgino F, Landolfi I, Menchini F, Esposito A, Fonio P, Gatti M. Cardiac computed tomography with late contrast enhancement: A review. Heliyon 2024; 10:e32436. [PMID: 38933964 PMCID: PMC11200357 DOI: 10.1016/j.heliyon.2024.e32436] [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: 12/31/2022] [Revised: 05/19/2024] [Accepted: 06/04/2024] [Indexed: 06/28/2024] Open
Abstract
Cardiac computed tomography (CCT) has assumed an increasingly significant role in the evaluation of coronary artery disease (CAD) during the past few decades, whereas cardiovascular magnetic resonance (CMR) remains the gold standard for myocardial tissue characterization. The discovery of late myocardial enhancement following intravenous contrast administration dates back to the 1970s with ex-vivo CT animal investigations; nevertheless, the clinical application of this phenomenon for cardiac tissue characterization became prevalent for CMR imaging far earlier than for CCT imaging. Recently the technical advances in CT scanners have made it possible to take advantage of late contrast enhancement (LCE) for tissue characterization in CCT exams. Moreover, the introduction of extracellular volume calculation (ECV) on cardiac CT images combined with the possibility of evaluating cardiac function in the same exam is making CCT imaging a multiparametric technique more and more similar to CMR. The aim of our review is to provide a comprehensive overview on the role of CCT with LCE in the evaluation of a wide range of cardiac conditions.
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Affiliation(s)
- Davide Tore
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Riccardo Faletti
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Anna Palmisano
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sara Salto
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Katia Rocco
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Ambra Santonocito
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Clara Gaetani
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Andrea Biondo
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Elena Bozzo
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Fabio Giorgino
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Ilenia Landolfi
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Francesca Menchini
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Antonio Esposito
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Fonio
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Marco Gatti
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
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14
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Lacaita PG, Luger A, Troger F, Widmann G, Feuchtner GM. Photon-Counting Detector Computed Tomography (PCD-CT): A New Era for Cardiovascular Imaging? Current Status and Future Outlooks. J Cardiovasc Dev Dis 2024; 11:127. [PMID: 38667745 PMCID: PMC11050624 DOI: 10.3390/jcdd11040127] [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: 03/31/2024] [Revised: 04/17/2024] [Accepted: 04/19/2024] [Indexed: 04/28/2024] Open
Abstract
Photon-counting detector computed tomography (PCD-CT) represents a revolutionary new generation of computed tomography (CT) for the imaging of patients with cardiovascular diseases. Since its commercial market introduction in 2021, numerous studies have identified advantages of this new technology in the field of cardiovascular imaging, including improved image quality due to an enhanced contrast-to-noise ratio, superior spatial resolution, reduced artifacts, and a reduced radiation dose. The aim of this narrative review was to discuss the current scientific literature, and to find answers to the question of whether PCD-CT has yet led to a true step-change and significant progress in cardiovascular imaging.
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Affiliation(s)
| | | | | | | | - Gudrun M. Feuchtner
- Department Radiology, Innsbruck Medical University, Anichstrasse 35, 6020 Innsbruck, Austria; (P.G.L.); (A.L.); (F.T.); (G.W.)
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15
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Madhavan AA, Cutsforth-Gregory JK, Brinjikji W, Benson JC, Diehn FE, Mark IT, Verdoorn JT, Zhou Z, Yu L. Application of a Denoising High-Resolution Deep Convolutional Neural Network to Improve Conspicuity of CSF-Venous Fistulas on Photon-Counting CT Myelography. AJNR Am J Neuroradiol 2023; 45:96-99. [PMID: 38164538 PMCID: PMC10756582 DOI: 10.3174/ajnr.a8097] [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: 09/21/2023] [Accepted: 10/30/2023] [Indexed: 01/03/2024]
Abstract
Photon-counting detector CT myelography is a recently described technique that has several advantages for the detection of CSF-venous fistulas, one of which is improved spatial resolution. To maximally leverage the high spatial resolution of photon-counting detector CT, a sharp kernel and a thin section reconstruction are needed. Sharp kernels and thin slices often result in increased noise, degrading image quality. Here, we describe a novel deep-learning-based algorithm used to denoise photon-counting detector CT myelographic images, allowing the sharpest and thinnest quantitative reconstruction available on the scanner to be used to enhance diagnostic image quality. Currently, the algorithm requires 4-6 hours to create diagnostic, denoised images. This algorithm has the potential to increase the sensitivity of photon-counting detector CT myelography for detecting CSF-venous fistulas, and the technique may be valuable for institutions attempting to optimize photon-counting detector CT myelography imaging protocols.
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Affiliation(s)
- Ajay A Madhavan
- From the Department of Radiology (A.A.M., W.B., J.C.B., F.E.D., I.T.M., J.T.V., Z.Z., L.Y.), Mayo Clinic, Rochester, Minnesota
| | | | - Waleed Brinjikji
- From the Department of Radiology (A.A.M., W.B., J.C.B., F.E.D., I.T.M., J.T.V., Z.Z., L.Y.), Mayo Clinic, Rochester, Minnesota
| | - John C Benson
- From the Department of Radiology (A.A.M., W.B., J.C.B., F.E.D., I.T.M., J.T.V., Z.Z., L.Y.), Mayo Clinic, Rochester, Minnesota
| | - Felix E Diehn
- From the Department of Radiology (A.A.M., W.B., J.C.B., F.E.D., I.T.M., J.T.V., Z.Z., L.Y.), Mayo Clinic, Rochester, Minnesota
| | - Ian T Mark
- From the Department of Radiology (A.A.M., W.B., J.C.B., F.E.D., I.T.M., J.T.V., Z.Z., L.Y.), Mayo Clinic, Rochester, Minnesota
| | - Jared T Verdoorn
- From the Department of Radiology (A.A.M., W.B., J.C.B., F.E.D., I.T.M., J.T.V., Z.Z., L.Y.), Mayo Clinic, Rochester, Minnesota
| | - Zhongxing Zhou
- From the Department of Radiology (A.A.M., W.B., J.C.B., F.E.D., I.T.M., J.T.V., Z.Z., L.Y.), Mayo Clinic, Rochester, Minnesota
| | - Lifeng Yu
- From the Department of Radiology (A.A.M., W.B., J.C.B., F.E.D., I.T.M., J.T.V., Z.Z., L.Y.), Mayo Clinic, Rochester, Minnesota
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16
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Zanon C, Cademartiri F, Toniolo A, Bini C, Clemente A, Colacchio EC, Cabrelle G, Mastro F, Antonello M, Quaia E, Pepe A. Advantages of Photon-Counting Detector CT in Aortic Imaging. Tomography 2023; 10:1-13. [PMID: 38276249 PMCID: PMC10821336 DOI: 10.3390/tomography10010001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 01/27/2024] Open
Abstract
Photon-counting Computed Tomography (PCCT) is a promising imaging technique. Using detectors that count the number and energy of photons in multiple bins, PCCT offers several advantages over conventional CT, including a higher image quality, reduced contrast agent volume, radiation doses, and artifacts. Although PCCT is well established for cardiac imaging in assessing coronary artery disease, its application in aortic imaging remains limited. This review summarizes the available literature and provides an overview of the current use of PCCT for the diagnosis of aortic imaging, focusing mainly on endoleaks detection and characterization after endovascular aneurysm repair (EVAR), contrast dose volume, and radiation exposure reduction, particularly in patients with chronic kidney disease and in those requiring follow-up CT.
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Affiliation(s)
- Chiara Zanon
- Department of Radiology, University of Padua, 35128 Padua, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | | | - Costanza Bini
- Department of Radiology, University of Padua, 35128 Padua, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Elda Chiara Colacchio
- Vascular and Endovascular Surgery Section, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Giulio Cabrelle
- Department of Radiology, University of Padua, 35128 Padua, Italy
| | - Florinda Mastro
- Division of Cardiac Surgery, University of Padua, 35128 Padua, Italy
| | - Michele Antonello
- Vascular and Endovascular Surgery Section, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Emilio Quaia
- Department of Radiology, University of Padua, 35128 Padua, Italy
| | - Alessia Pepe
- Department of Radiology, University of Padua, 35128 Padua, Italy
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17
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Flohr T, Schmidt B, Ulzheimer S, Alkadhi H. Cardiac imaging with photon counting CT. Br J Radiol 2023; 96:20230407. [PMID: 37750856 PMCID: PMC10646663 DOI: 10.1259/bjr.20230407] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/17/2023] [Accepted: 08/24/2023] [Indexed: 09/27/2023] Open
Abstract
CT of the heart, in particular ECG-controlled coronary CT angiography (cCTA), has become clinical routine due to rapid technical progress with ever new generations of CT equipment. Recently, CT scanners with photon-counting detectors (PCD) have been introduced which have the potential to address some of the remaining challenges for cardiac CT, such as limited spatial resolution and lack of high-quality spectral data. In this review article, we briefly discuss the technical principles of photon-counting detector CT, and we give an overview on how the improved spatial resolution of photon-counting detector CT and the routine availability of spectral data can benefit cardiac applications. We focus on coronary artery calcium scoring, cCTA, and on the evaluation of the myocardium.
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Affiliation(s)
- Thomas Flohr
- Siemens Healthcare GmbH, Computed Tomography, Forchheim, Germany
| | - Bernhard Schmidt
- Siemens Healthcare GmbH, Computed Tomography, Forchheim, Germany
| | - Stefan Ulzheimer
- Siemens Healthcare GmbH, Computed Tomography, Forchheim, Germany
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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18
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Meloni A, Cademartiri F, Positano V, Celi S, Berti S, Clemente A, La Grutta L, Saba L, Bossone E, Cavaliere C, Punzo B, Maffei E. Cardiovascular Applications of Photon-Counting CT Technology: A Revolutionary New Diagnostic Step. J Cardiovasc Dev Dis 2023; 10:363. [PMID: 37754792 PMCID: PMC10531582 DOI: 10.3390/jcdd10090363] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/28/2023] Open
Abstract
Photon-counting computed tomography (PCCT) is an emerging technology that can potentially transform clinical CT imaging. After a brief description of the PCCT technology, this review summarizes its main advantages over conventional CT: improved spatial resolution, improved signal and contrast behavior, reduced electronic noise and artifacts, decreased radiation dose, and multi-energy capability with improved material discrimination. Moreover, by providing an overview of the existing literature, this review highlights how the PCCT benefits have been harnessed to enhance and broaden the diagnostic capabilities of CT for cardiovascular applications, including the detection of coronary artery calcifications, evaluation of coronary plaque extent and composition, evaluation of coronary stents, and assessment of myocardial tissue characteristics and perfusion.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
- Unità Operativa Complessa di Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
| | - Vicenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
- Unità Operativa Complessa di Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Simona Celi
- BioCardioLab, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Sergio Berti
- Diagnostic and Interventional Cardiology Department, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Alberto Clemente
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
| | - Ludovico La Grutta
- Department of Radiology, University Hospital “P. Giaccone”, 90127 Palermo, Italy;
| | - Luca Saba
- Department of Radiology, University Hospital of Cagliari, 09042 Monserrato, CA, Italy;
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy;
| | - Carlo Cavaliere
- Department of Radiology, Istituto di Ricerca e Cura a Carattere Scientifico SynLab-SDN, 80131 Naples, Italy; (C.C.); (B.P.)
| | - Bruna Punzo
- Department of Radiology, Istituto di Ricerca e Cura a Carattere Scientifico SynLab-SDN, 80131 Naples, Italy; (C.C.); (B.P.)
| | - Erica Maffei
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
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