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Rajagopal JR, Farhadi F, Saboury B, Sahbaee P, Negussie AH, Pritchard WF, Jones EC, Samei E. Multivariate signal-to-noise ratio as a metric for characterizing spectral computed tomography. Phys Med Biol 2024; 69:145005. [PMID: 38942009 DOI: 10.1088/1361-6560/ad5d4a] [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: 01/30/2024] [Accepted: 06/28/2024] [Indexed: 06/30/2024]
Abstract
Objective.With the introduction of spectral CT techniques into the clinic, the imaging capacities of CT were expanded to multiple energy levels. Due to a variety of factors, the acquired signal in spectral CT datasets is shared between these images. Conventional image quality metrics assume independence between images which is not preserved within spectral CT datasets, limiting their utility for characterizing energy selective images. The purpose of this work was to develop a metrology to characterize energy selective images by incorporating the shared information between images within a spectral CT dataset.Approach.The signal-to-noise ratio (SNR) was extended into a multivariate space where each image within a spectral CT dataset was treated as a separate information channel. The general definition was applied to the specific case of contrast to define a multivariate contrast-to-noise ratio (CNR). The matrix contained two types of terms: a conventional CNR term which characterized image quality within each image in the spectral CT dataset and covariance weighted CNR (Covar-CNR) which characterized the contrast in each image relative to the covariance between images. Experimental data from an investigational photon-counting CT scanner was used to demonstrate the insight of this metrology. A cylindrical water phantom containing vials of iodine and gadolinium (2, 4, and 8 mg ml-1) was imaged under conditions of variable tube current, tube voltage, and energy threshold. Two image series (threshold and bin images) containing two images each were defined based upon the contribution of photons to reconstructed images. Analysis of variance (ANOVA) was calculated between CNR terms and image acquisition variables. A multivariate regression was then fitted to experimental data.Main Results.Image type had a major difference on how Covar-CNR values were distributed. Bin images had a slightly higher mean and wider standard deviation (Covar-CNRlo: 3.38 ±17.25, Covar-CNRhi: 5.77 ± 30.64) compared to threshold images (Covar-CNRlo: 2.08 ±1.89, Covar-CNRhi: 3.45 ± 2.49) across all conditions. ANOVA found that each acquisition variable had a significant relationship with both Covar-CNR terms. The multivariate regression model suggested that material concentration had the largest impact on all CNR terms.Signficance.In this work, we described a theoretical framework to extend the SNR to a multivariate form that is able to characterize images independently and also provide insight regarding the relationship between images. Experimental data was used to demonstrate the insight that this metrology provides about image formation factors in spectral CT.
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Affiliation(s)
- Jayasai R Rajagopal
- Carl E. Ravin Advanced Imaging Laboratories and Center for Virtual Imaging Trials, Department of Radiology, Duke University Medical Center, Durham, NC 27705, United States of America
- Medical Physics Graduate Program, Duke University Medical Center, Durham, NC 27705, United States of America
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States of America
| | - Faraz Farhadi
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States of America
- Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, United States of America
| | - Babak Saboury
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States of America
| | - Pooyan Sahbaee
- Siemens Medical Solutions, Malvern, PA 19335, United States of America
| | - Ayele H Negussie
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States of America
| | - William F Pritchard
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States of America
| | - Elizabeth C Jones
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States of America
| | - Ehsan Samei
- Carl E. Ravin Advanced Imaging Laboratories and Center for Virtual Imaging Trials, Department of Radiology, Duke University Medical Center, Durham, NC 27705, United States of America
- Medical Physics Graduate Program, Duke University Medical Center, Durham, NC 27705, United States of America
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Rajagopal JR, Farhadi F, Solomon J, Saboury B, Sahbaee P, Negussie AH, Pritchard WF, Jones EC, Samei E. Development of a separability index for task specific characterization of spectral computed tomography. Phys Med 2024; 122:103382. [PMID: 38820805 PMCID: PMC11185224 DOI: 10.1016/j.ejmp.2024.103382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 01/26/2024] [Accepted: 05/21/2024] [Indexed: 06/02/2024] Open
Abstract
PURPOSE In this work, we define a signal detection based metrology to characterize the separability of two different multi-dimensional signals in spectral CT acquisitions. METHOD Signal response was modelled as a random process with a deterministic signal and stochastic noise component. A linear Hotelling observer was used to estimate a scalar test statistic distribution that predicts the likelihood of an intensity value belonging to a signal. Two distributions were estimated for two materials of interest and used to derive two metrics separability: a separability index (s') and the area under the curve of the test statistic distributions. Experimental and simulated data of photon-counting CT scanners were used to evaluate each metric. Experimentally, vials of iodine and gadolinium (2, 4, 8 mg/mL) were scanned at multiple tube voltages, tube currents and energy thresholds. Additionally, a simulated dataset with low tube current (10-150 mAs) and material concentrations (0.25-4 mg/mL) was generated. RESULTS Experimental data showed that conditions favorable for low noise and expression of k-edge signal produced the highest separability. Material concentration had the greatest impact on separability. The simulated data showed that under more difficult separation conditions, difference in material concentration still had the greatest impact on separability. CONCLUSION The results demonstrate the utility of a task specific metrology to measure the overlap in signal between different materials in spectral CT. Using experimental and simulated data, the separability index was shown to describe the relationship between image formation factors and the signal responses of material.
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Affiliation(s)
- Jayasai R Rajagopal
- Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC 27705, United States; Medical Physics Graduate Program, Duke University Medical Center, Durham, NC 27705, United States; Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States.
| | - Faraz Farhadi
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States; Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, United States
| | - Justin Solomon
- Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC 27705, United States; Medical Physics Graduate Program, Duke University Medical Center, Durham, NC 27705, United States; Clinical Imaging Physics Group, Duke University Medical Center, Durham, NC 27705, United States
| | - Babak Saboury
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States
| | - Pooyan Sahbaee
- Siemens Medical Solutions USA, Malvern, PA 19335, United States
| | - Ayele H Negussie
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States
| | - William F Pritchard
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States
| | - Elizabeth C Jones
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892, United States
| | - Ehsan Samei
- Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC 27705, United States; Medical Physics Graduate Program, Duke University Medical Center, Durham, NC 27705, United States; Clinical Imaging Physics Group, Duke University Medical Center, Durham, NC 27705, United States.
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Rajagopal JR, Schwartz FR, McCabe C, Farhadi F, Zarei M, Ria F, Abadi E, Segars P, Ramirez-Giraldo JC, Jones EC, Henry T, Marin D, Samei E. Technology Characterization Through Diverse Evaluation Methodologies: Application to Thoracic Imaging in Photon-Counting Computed Tomography. J Comput Assist Tomogr 2024:00004728-990000000-00312. [PMID: 38626754 DOI: 10.1097/rct.0000000000001608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2024]
Abstract
OBJECTIVE Different methods can be used to condition imaging systems for clinical use. The purpose of this study was to assess how these methods complement one another in evaluating a system for clinical integration of an emerging technology, photon-counting computed tomography (PCCT), for thoracic imaging. METHODS Four methods were used to assess a clinical PCCT system (NAEOTOM Alpha; Siemens Healthineers, Forchheim, Germany) across 3 reconstruction kernels (Br40f, Br48f, and Br56f). First, a phantom evaluation was performed using a computed tomography quality control phantom to characterize noise magnitude, spatial resolution, and detectability. Second, clinical images acquired using conventional and PCCT systems were used for a multi-institutional reader study where readers from 2 institutions were asked to rank their preference of images. Third, the clinical images were assessed in terms of in vivo image quality characterization of global noise index and detectability. Fourth, a virtual imaging trial was conducted using a validated simulation platform (DukeSim) that models PCCT and a virtual patient model (XCAT) with embedded lung lesions imaged under differing conditions of respiratory phase and positional displacement. Using known ground truth of the patient model, images were evaluated for quantitative biomarkers of lung intensity histograms and lesion morphology metrics. RESULTS For the physical phantom study, the Br56f kernel was shown to have the highest resolution despite having the highest noise and lowest detectability. Readers across both institutions preferred the Br56f kernel (71% first rank) with a high interclass correlation (0.990). In vivo assessments found superior detectability for PCCT compared with conventional computed tomography but higher noise and reduced detectability with increased kernel sharpness. For the virtual imaging trial, Br40f was shown to have the best performance for histogram measures, whereas Br56f was shown to have the most precise and accurate morphology metrics. CONCLUSION The 4 evaluation methods each have their strengths and limitations and bring complementary insight to the evaluation of PCCT. Although no method offers a complete answer, concordant findings between methods offer affirmatory confidence in a decision, whereas discordant ones offer insight for added perspective. Aggregating our findings, we concluded the Br56f kernel best for high-resolution tasks and Br40f for contrast-dependent tasks.
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Affiliation(s)
| | - Fides R Schwartz
- Duke University Health System, Department of Radiology, Duke University Medical Center, Durham, NC
| | - Cindy McCabe
- From the Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC
| | | | - Mojtaba Zarei
- From the Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC
| | - Francesco Ria
- From the Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC
| | - Ehsan Abadi
- From the Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC
| | - Paul Segars
- From the Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC
| | | | - Elizabeth C Jones
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Travis Henry
- Duke University Health System, Department of Radiology, Duke University Medical Center, Durham, NC
| | - Daniele Marin
- Duke University Health System, Department of Radiology, Duke University Medical Center, Durham, NC
| | - Ehsan Samei
- From the Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC
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Moore J, Remy J, Altschul E, Chusid J, Flohr T, Raoof S, Remy-Jardin M. Thoracic Applications of Spectral CT Scan. Chest 2024; 165:417-430. [PMID: 37619663 DOI: 10.1016/j.chest.2023.07.4225] [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: 02/20/2023] [Revised: 07/29/2023] [Accepted: 07/31/2023] [Indexed: 08/26/2023] Open
Abstract
TOPIC IMPORTANCE Thoracic imaging with CT scan has become an essential component in the evaluation of respiratory and thoracic diseases. Providers have historically used conventional single-energy CT; however, prevalence of dual-energy CT (DECT) is increasing, and as such, it is important for thoracic physicians to recognize the utility and limitations of this technology. REVIEW FINDINGS The technical aspects of DECT are presented, and practical approaches to using DECT are provided. Imaging at multiple energy spectra allows for postprocessing of the data and the possibility of creating multiple distinct image reconstructions based on the clinical question being asked. The data regarding utility of DECT in pulmonary vascular disorders, ventilatory defects, and thoracic oncology are presented. A pictorial essay is provided to give examples of the strengths associated with DECT. SUMMARY DECT has been most heavily studied in chronic thromboembolic pulmonary hypertension; however, it is increasingly being used across a wide spectrum of thoracic diseases. DECT combines morphologic and functional assessments in a single imaging acquisition, providing clinicians with a powerful diagnostic tool. Its role in the evaluation and treatment of thoracic diseases will likely continue to expand in the coming years as clinicians become more experienced with the technology.
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Affiliation(s)
- Jonathan Moore
- Department of Pulmonary and Critical Care Medicine, Lenox Hill Hospital, Northwell Health Physician Partners, New York, NY
| | - Jacques Remy
- Univ Lille, Department of Thoracic Imaging, Lille, France
| | - Erica Altschul
- Department of Pulmonary and Critical Care Medicine, Lenox Hill Hospital, Northwell Health Physician Partners, New York, NY
| | - Jesse Chusid
- Feinstein Institutes for Medical Research, and Imaging Services, Department of Radiology, Northwell Health, Manhasset, NY
| | - Thomas Flohr
- Department of Computed Tomography Research & Development, Siemens Healthineers, Forchheim, Germany
| | - Suhail Raoof
- Department of Pulmonary and Critical Care Medicine, Lenox Hill Hospital, Northwell Health Physician Partners, New York, NY.
| | - Martine Remy-Jardin
- Univ Lille, Department of Thoracic Imaging, Lille, France; Univ Lille, CHU Lille, Evaluation des technologies de santé et des pratiques médicales, Lille, France
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Chamberlin JH, Smith CD, Maisuria D, Parrish J, van Swol E, Mah E, Emrich T, Schoepf UJ, Varga-Szemes A, O'Doherty J, Munden RF, Tipnis SV, Baruah D, Kabakus IM. Ultra-high-resolution photon-counting detector computed tomography of the lungs: Phantom and clinical assessment of radiation dose and image quality. Clin Imaging 2023; 104:110008. [PMID: 37862910 DOI: 10.1016/j.clinimag.2023.110008] [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: 05/28/2023] [Revised: 09/28/2023] [Accepted: 10/12/2023] [Indexed: 10/22/2023]
Abstract
PURPOSE Photon-counting-detector computed tomography (PCD-CT) offers enhanced noise reduction, spatial resolution, and image quality in comparison to energy-integrated-detectors CT (EID-CT). These hypothesized improvements were compared using PCD-CT ultra-high (UHR) and standard-resolution (SR) scan-modes. METHODS Phantom scans were obtained with both EID-CT and PCD-CT (UHR, SR) on an adult body-phantom. Radiation dose was measured and noise levels were compared at a minimum achievable slice thickness of 0.5 mm for EID-CT, 0.2 mm for PCD-CT-UHR and 0.4 mm for PCD-CT-SR. Signal-to-noise ratios (SNR) and contrast-to-noise ratios (CNR) were calculated for five tissue densities. Additionally, data from 25 patients who had PCD-CT of chest were reconstructed at 1 mm and 0.2 mm (UHR) slice-thickness and compared quantitatively (SNR) and qualitatively (noise, quality, sharpness, bone details). RESULTS Phantom PCD-CT-UHR and PCD-CT-SR scans had similar measured radiation dose (16.0mGy vs 15.8 mGy). Phantom PCD-CT-SR (0.4 mm) had lower noise level in comparison to EID-CT (0.5 mm) (9.0HU vs 9.6HU). PCD-CT-UHR (0.2 mm) had slightly higher noise level (11.1HU). Phantom PCD-CT-SR (0.4 mm) had higher SNR in comparison to EID-CT (0.5 mm) while achieving higher resolution (Bone 115 vs 96, Acrylic 14 vs 14, Polyethylene 11 vs 10). SNR was slightly lower across all densities for PCD-CT UHR (0.2 mm). Interestingly, CNR was highest in the 0.2 mm PCD-CT group; PCD-CT CNR was 2.45 and 2.88 times the CNR for 0.5 mm EID-CT for acrylic and poly densities. Clinical comparison of SNR showed predictably higher SNR for 1 mm (30.3 ± 10.7 vs 14.2 ± 7, p = 0.02). Median subjective ratings were higher for 0.2 mm UHR vs 1 mm PCD-CT for nodule contour (4.6 ± 0.3 vs 3.6 ± 0.1, p = 0.02), bone detail (5 ± 0 vs 4 ± 0.1, p = 0.001), image quality (5 ± 0.1 vs 4.6 ± 0.4, p = 0.001), and sharpness (5 ± 0.1 vs 4 ± 0.2). CONCLUSION Both UHR and SR PCD-CT result in similar radiation dose levels. PCD-CT can achieve higher resolution with lower noise level in comparison to EID-CT.
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Affiliation(s)
- Jordan H Chamberlin
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Carter D Smith
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Dhruw Maisuria
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Joe Parrish
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Elizabeth van Swol
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Eugene Mah
- Department of Radiology and Radiological Science, Division of Medical Physics, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Tilman Emrich
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Akos Varga-Szemes
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Jim O'Doherty
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA; Siemens Medical Solutions, Malvern, PA, USA
| | - Reginald F Munden
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Sameer V Tipnis
- Department of Radiology and Radiological Science, Division of Medical Physics, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Dhiraj Baruah
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA
| | - Ismail M Kabakus
- Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina, Charleston, SC 29407, USA.
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Donuru A, Araki T, Dako F, Dave JK, Perez RP, Xu D, Nachiappan A, Barbosa EM, Noel P, Litt H, Knollman F. Photon-counting detector CT allows significant reduction in radiation dose while maintaining image quality and noise on non-contrast chest CT. Eur J Radiol Open 2023; 11:100538. [PMID: 38028186 PMCID: PMC10665661 DOI: 10.1016/j.ejro.2023.100538] [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: 09/16/2023] [Revised: 10/25/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose To investigate if clinical non-contrast chest CT studies obtained with PCD CT using much lower radiation exposure can achieve the same image quality as with the currently established EID protocol. Materials/methods A total of seventy-one patients were identified who had a non-contrast chest computed tomography (CT) done on PCD CT and EID CT scanners within a 4-month interval. Five fellowship trained chest radiologists, blinded to the scanner details were asked to review the cases side-by-side and record their preference for images from either the photon-counting-detector (PCD) CT or the energy-integrating detector (EID) CT scanner. Results The median CTDIvol for PCD-CT system was 4.710 mGy and EID system was 7.80 mGy (p < 0.001). The median DLP with the PCD-CT was 182.0 mGy.cm and EID system was 262.60 mGy.cm (p < 0.001). The contrast to noise ratio (CNR) was superior on the PCD-CT system 59.2 compared to the EID-CT 53.3; (p < 0.001). Kappa-statistic showed that there was poor agreement between the readers over the image quality from the PCD and EID scanners (κ = 0.19; 95 % CI: 0.12 - 0.27; p < 0.001). Chi-square analysis revealed that 3 out of 5 readers showed a significant preference for images from the PCDCT (p ≤ 0.012). There was no significant difference in the preferences of two readers between EID-CT and PCD-CT images. Conclusion The first clinical PCD-CT system allows a significant reduction in radiation exposure while maintaining image quality and image noise using a standardized non-contrast chest CT protocol.
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Affiliation(s)
- Achala Donuru
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tetsuro Araki
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Farouk Dako
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jaydev K. Dave
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Raul Porto Perez
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dongming Xu
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Arun Nachiappan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Eduardo Mortani Barbosa
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Peter Noel
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Harold Litt
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Friedrich Knollman
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
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Wu Y, Ye Z, Chen J, Deng L, Song B. Photon Counting CT: Technical Principles, Clinical Applications, and Future Prospects. Acad Radiol 2023; 30:2362-2382. [PMID: 37369618 DOI: 10.1016/j.acra.2023.05.029] [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: 05/02/2023] [Revised: 05/27/2023] [Accepted: 05/28/2023] [Indexed: 06/29/2023]
Abstract
Photon-counting computed tomography (PCCT) is a new technique that utilizes photon-counting detectors to convert individual X-ray photons directly into an electrical signal, which can achieve higher spatial resolution, improved iodine signal, radiation dose reduction, artifact reduction, and multienergy imaging. This review introduces the technical principles of PCCT, and summarizes its first-in-human experience and current applications in clinical settings, and discusses the future prospects of PCCT.
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Affiliation(s)
- Yingyi Wu
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China (Y.Y.W., Z.Y., J.C., L.P.D., B.S.)
| | - Zheng Ye
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China (Y.Y.W., Z.Y., J.C., L.P.D., B.S.)
| | - Jie Chen
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China (Y.Y.W., Z.Y., J.C., L.P.D., B.S.)
| | - Liping Deng
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China (Y.Y.W., Z.Y., J.C., L.P.D., B.S.)
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China (Y.Y.W., Z.Y., J.C., L.P.D., B.S.); Department of Radiology, Sanya People' s Hospital, Sanya, Hainan, China (B.S.).
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8
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Rajagopal JR, Farhadi F, Nikpanah M, Sahbaee P, Saboury B, Pritchard WF, Jones EC, Chen MY, Samei E. Impact of the confluence of cardiac motion and high spatial resolution on performance of ECG-gated imaging with an investigational photon-counting CT system: A phantom study. Phys Med 2023; 114:102683. [PMID: 37738807 PMCID: PMC10798551 DOI: 10.1016/j.ejmp.2023.102683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/06/2023] [Accepted: 09/11/2023] [Indexed: 09/24/2023] Open
Abstract
PURPOSE Photon-counting CT (PCCT) has higher spatial resolution that conventional EID CT which improves imaging of stationary coronary plaques and stents.. In this work, we evaluated the relationship between higher spatial resolution and motion acquisition on an investigational PCCT system. METHODS An investigational photon-counting CT scanner (Siemens CounT) with ECG gating was used to image a coronary tree phantom with models of healthy, stenotic, and stented arteries using a motion simulator. Images were acquired with matched clinical parameters at rest and 60 beats per minute. An additional set of high dose stationary images were averaged to generate a motion-free, reduced noise reference. Scans were completed at standard (0.5 mm2) and high-resolution (0.25 mm2). Motion images were reconstructed at multiple phases. Regions of interest were drawn around vessels and segmented. Percentage difference from the reference standard was evaluated for vessel diameter and circularity. Mutual information between the reference and stationary and motion datasets was used as a measure of volumetric similarity. RESULTS The stenotic vessel showed the most variation from the reference when compared to healthy or stented vessels. Compared to standard resolution, high-resolution images had lower bias for diameter (-0.012 ± 0.19% vs -0.052 ± 0.14%) and lower variability for circularity (-0.13 ± 0.138% vs -0.12 ± 0.144%). Both differences were found to be statistically significant. High-resolution images had a slightly lower mutual information (1.28) than standard resolution (1.31). CONCLUSION The higher spatial resolution enabled by photon-counting CT can be harnessed for cardiac imaging as the benefits of high spatial resolution acquisitions remain relevant in the presence of motion.
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Affiliation(s)
- Jayasai R Rajagopal
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC, 27705, USA; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Faraz Farhadi
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA
| | - Moozhan Nikpanah
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Babak Saboury
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA
| | - William F Pritchard
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA
| | - Elizabeth C Jones
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA
| | - Marcus Y Chen
- Cardiovascular Branch, National Institute of Heart, Lung, and Blood, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ehsan Samei
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Clinical Imaging Physics Group, Department of Radiology, Duke University Medical Center, Durham, NC 27705, USA
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Vrbaski S, Bache S, Rajagopal J, Samei E. Quantitative performance of photon-counting CT at low dose: Virtual monochromatic imaging and iodine quantification. Med Phys 2023; 50:5421-5433. [PMID: 37415402 PMCID: PMC10897956 DOI: 10.1002/mp.16583] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/11/2023] [Accepted: 06/12/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Quantitative imaging techniques, such as virtual monochromatic imaging (VMI) and iodine quantification (IQ), have proven valuable diagnostic methods in several specific clinical tasks such as tumor and tissue differentiation. Recently, a new generation of computed tomography (CT) scanners equipped with photon-counting detectors (PCD) has reached clinical status. PURPOSE This work aimed to investigate the performance of a new photon-counting CT (PC-CT) in low-dose quantitative imaging tasks, comparing it to an earlier generation CT scanner with an energy-integrating detector dual-energy CT (DE-CT). The accuracy and precision of the quantification across size, dose, material types (including low and high iodine concentrations), displacement from iso-center, and solvent (tissue background) composition were explored. METHODS Quantitative analysis was performed on two clinical scanners, Siemens SOMATOM Force and NAEOTOM Alpha using a multi-energy phantom with plastic inserts mimicking different iodine concentrations and tissue types. The tube configurations in the dual-energy scanner were 80/150Sn kVp and 100/150Sn kVp, while for PC-CT both tube voltages were set to either 120 or 140 kVp with photon-counting energy thresholds set at 20/65 or 20/70 keV. The statistical significance of patient-related parameters in quantitative measurements was examined using ANOVA and pairwise comparison with the posthoc Tukey honest significance test. Scanner bias was assessed in both quantitative tasks for relevant patient-specific parameters. RESULTS The accuracy of IQ and VMI in the PC-CT was comparable between standard and low radiation doses (p < 0.01). The patient size and tissue type significantly affect the accuracy of both quantitative imaging tasks in both scanners. The PC-CT scanner outperforms the DE-CT scanner in the IQ task in all cases. Iodine quantification bias in the PC-CT (-0.9 ± 0.15 mg/mL) at low doses in our study was comparable to that of DE-CT (range -2.6 to 1.5 mg/mL, published elsewhere) at a 1.7× higher dose, but the dose reduction severely biased DE-CT (4.72 ± 0.22 mg/mL). The accuracy in Hounsfield units (HU) estimation was comparable for 70 and 100 keV virtual imaging between scanners, but PC-CT was significantly underestimating virtual 40 keV HU values of dense materials in the phantom representing the extremely obese population. CONCLUSIONS The statistical analysis of our measurements reveals better IQ at lower radiation doses using new PC-CT. Although VMI performance was mostly comparable between the scanners, the DE-CT scanner quantitatively outperformed PC-CT when estimating HU values in the specific case of very large phantoms and dense materials, benefiting from increased X-ray tube potentials.
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Affiliation(s)
- Stevan Vrbaski
- Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, North Carolina, USA
- Department of Physics, University of Trieste, Trieste, Italy
- Elettra-Sincrotrone Trieste, Basovizza, Trieste, Italy
| | - Steve Bache
- Clinical Imaging Physics Group, Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Jayasai Rajagopal
- Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, North Carolina, USA
- Radiology and Imaging Sciences,Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Ehsan Samei
- Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, North Carolina, USA
- Clinical Imaging Physics Group, Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
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Zsarnóczay E, Varga-Szemes A, Emrich T, Szilveszter B, van der Werf NR, Mastrodicasa D, Maurovich-Horvat P, Willemink MJ. Characterizing the Heart and the Myocardium With Photon-Counting CT. Invest Radiol 2023; 58:505-514. [PMID: 36822653 DOI: 10.1097/rli.0000000000000956] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
ABSTRACT Noninvasive cardiac imaging has rapidly evolved during the last decade owing to improvements in computed tomography (CT)-based technologies, among which we highlight the recent introduction of the first clinical photon-counting detector CT (PCD-CT) system. Multiple advantages of PCD-CT have been demonstrated, including increased spatial resolution, decreased electronic noise, and reduced radiation exposure, which may further improve diagnostics and may potentially impact existing management pathways. The benefits that can be obtained from the initial experiences with PCD-CT are promising. The implementation of this technology in cardiovascular imaging allows for the quantification of coronary calcium, myocardial extracellular volume, myocardial radiomics features, epicardial and pericoronary adipose tissue, and the qualitative assessment of coronary plaques and stents. This review aims to discuss these major applications of PCD-CT with a focus on cardiac and myocardial characterization.
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Affiliation(s)
| | - Akos Varga-Szemes
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston
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11
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Fink N, Zsarnoczay E, Schoepf UJ, O'Doherty J, Griffith JP, Pinos D, Tesche C, Ricke J, Willemink MJ, Varga-Szemes A, Emrich T. Radiation Dose Reduction for Coronary Artery Calcium Scoring Using a Virtual Noniodine Algorithm on Photon-Counting Detector Computed-Tomography Phantom Data. Diagnostics (Basel) 2023; 13:diagnostics13091540. [PMID: 37174932 PMCID: PMC10177425 DOI: 10.3390/diagnostics13091540] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/14/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
Background: On the basis of the hypothesis that virtual noniodine (VNI)-based coronary artery calcium scoring (CACS) is feasible at reduced radiation doses, this study assesses the impact of radiation dose reduction on the accuracy of this VNI algorithm on a photon-counting detector (PCD)-CT. Methods: In a systematic in vitro setting, a phantom for CACS simulating three chest sizes was scanned on a clinical PCD-CT. The standard radiation dose was chosen at volumetric CT dose indices (CTDIVol) of 1.5, 3.3, 7.0 mGy for small, medium-sized, and large phantoms, and was gradually reduced by adjusting the tube current resulting in 100, 75, 50, and 25%, respectively. VNI images were reconstructed at 55 keV, quantum iterative reconstruction (QIR)1, and at 60 keV/QIR4, and evaluated regarding image quality (image noise (IN), contrast-to-noise ratio (CNR)), and CACS. All VNI results were compared to true noncontrast (TNC)-based CACS at 70 keV and standard radiation dose (reference). Results: INTNC was significantly higher than INVNI, and INVNI at 55 keV/QIR1 higher than at 60 keV/QIR4 (100% dose: 16.7 ± 1.9 vs. 12.8 ± 1.7 vs. 7.7 ± 0.9; p < 0.001 for every radiation dose). CNRTNC was higher than CNRVNI, but it was better to use 60 keV/QIR4 (p < 0.001). CACSVNI showed strong correlation and agreement at every radiation dose (p < 0.001, r > 0.9, intraclass correlation coefficient > 0.9). The coefficients of the variation in root-mean squared error were less than 10% and thus clinically nonrelevant for the CACSVNI of every radiation dose. Conclusion: This phantom study suggests that CACSVNI is feasible on PCD-CT, even at reduced radiation dose while maintaining image quality and CACS accuracy.
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Affiliation(s)
- Nicola Fink
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Emese Zsarnoczay
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA
- Medical Imaging Center, Semmelweis University, Korányi Sándor utca 2, 1083 Budapest, Hungary
| | - U Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA
| | - Jim O'Doherty
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA
- Siemens Medical Solutions, 40 Liberty Boulevard, Malvern, PA 19355, USA
| | - Joseph P Griffith
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA
| | - Daniel Pinos
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA
| | - Christian Tesche
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA
- Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Marchioninistr. 15, 81377 Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Martin J Willemink
- Department of Radiology, Stanford University School of Medicine, 291 Campus Drive, Stanford, CA 94305, USA
| | - Akos Varga-Szemes
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA
| | - Tilman Emrich
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA
- Department of Diagnostic and Interventional Radiology, University Medical Center of Johannes-Gutenberg-University, Langenbeckstr. 1, 55131 Mainz, Germany
- German Centre for Cardiovascular Research, Partner Site Rhine-Main, 55131 Mainz, Germany
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12
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Cao J, Bache S, Schwartz FR, Frush D. Pediatric Applications of Photon-Counting Detector CT. AJR Am J Roentgenol 2023; 220:580-589. [PMID: 36287620 DOI: 10.2214/ajr.22.28391] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Photon-counting detector (PCD) CT represents the most recent generational advance in CT technology. PCD CT has the potential to reduce image noise, improve spatial resolution and contrast resolution, and provide multispectral capability, all of which may be achieved with an overall decrease in the radiation dose. These effects may be used to reduce the iodinated contrast media dose and potentially obtain multiphase images through a single-acquisition technique. The benefits of PCD CT have previously been shown primarily in phantoms and adult patients. This article describes the application of PCD CT in children, as illustrated by clinical examples from a commercially available PCD CT system.
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Affiliation(s)
- Joseph Cao
- Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, 2301 Erwin Rd, Durham, NC 27705
| | - Steve Bache
- Department of Radiology, Clinical Imaging Physics Group, Duke University Medical Center, Durham, NC
| | | | - Donald Frush
- Department of Radiology, Division of Pediatric Radiology, Medical Physics Graduate Program, Duke University Medical Center, Durham, NC
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13
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Zsarnoczay E, Fink N, Schoepf UJ, O'Doherty J, Allmendinger T, Hagenauer J, Wolf EV, Griffith JP, Maurovich-Horvat P, Varga-Szemes A, Emrich T. Ultra-high resolution photon-counting coronary CT angiography improves coronary stenosis quantification over a wide range of heart rates - A dynamic phantom study. Eur J Radiol 2023; 161:110746. [PMID: 36821957 DOI: 10.1016/j.ejrad.2023.110746] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/01/2023] [Accepted: 02/12/2023] [Indexed: 02/18/2023]
Abstract
PURPOSE To investigate the effect of using photon-counting detector (PCD)-CT with ultra-high resolution (UHR) on stenosis quantification accuracy and blooming artifacts from low to high heart rates in a dynamic motion phantom. METHOD Two vessel phantoms (diameter: 4 mm) containing solid calcified lesions (25%, 50% stenoses), filled with different concentrations of iodine, inside an anthropomorphic thorax phantom attached to a coronary motion simulator were used. Scanning was performed on a PCD-CT system using an ECG-gated mode at UHR and standard resolution (SR) (0.2, 0.6 mm slice thickness, respectively). Images were reconstructed at 60, 80 and 100 beats per minute (bpm) (UHR: Bv56 kernel, quantum iterative reconstruction (QIR) level 3; SR: 55 keV, Bv40 kernel, QIR3). Percent diameter stenosis (PDS) and blooming artifacts were measured by two readers. RESULTS PDS measurements derived from UHR were more accurate than SR for both lesions at every heart rate (p ≤ 0.005 for all, e.g. 50% lesion SR vs. UHR: at 60 bpm 57.1% [55.2-59.2] vs. 50.0% [48.5-51.2], at 100 bpm 61.0% [58.6-64.3] vs. 52.4% [51.3-54.3]). Overall mean difference across heart rates and lesions compared to the nominal stenoses was 9.2% (Limit of Agreement (LoA), 2.4%/16.0%) for SR vs. 2.4% (LoA, -2.8%/7.5%) for UHR. Blooming artifacts decreased with UHR compared to SR for both lesions at every heart rate (p < 0.001 for all, e.g. 50% lesion SR vs. UHR: at 60 bpm 63.8% [60.6-69.5] vs. 52.5% [50.0-57.5], at 100 bpm 70.2% [64.8-78.1] vs. 56.1% [51.2-60.8]). CONCLUSIONS This motion phantom study demonstrates improved stenosis quantification accuracy and reduced blooming artifacts with UHR-PCD-CT compared to SR, independent of heart rate.
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Affiliation(s)
- Emese Zsarnoczay
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, United States; MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Center, Semmelweis University, Korányi Sándor utca 2, Budapest 1083, Hungary.
| | - Nicola Fink
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, United States; Department of Radiology, University Hospital, LMU Munich, Marchioninistraße 15, Munich 81377, Germany.
| | - U Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, United States.
| | - Jim O'Doherty
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, United States; Siemens Medical Solutions USA Inc, 40 Liberty Boulevard, Malvern, PA 19355, United States.
| | | | - Junia Hagenauer
- Siemens Healthcare GmbH, Siemensstraße 1, Forchheim 91301, Germany; Faculty of Medicine, Friedrich Alexander University of Erlangen-Nuremberg, Krankenhausstraße 12, Erlangen 91054, Germany.
| | - Elias V Wolf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, United States; Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Langenbeckstraße 1, Mainz 55131, Germany.
| | - Joseph P Griffith
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, United States.
| | - Pál Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Center, Semmelweis University, Korányi Sándor utca 2, Budapest 1083, Hungary.
| | - Akos Varga-Szemes
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, United States.
| | - Tilman Emrich
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, United States; Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Langenbeckstraße 1, Mainz 55131, Germany; German Centre for Cardiovascular Research, Partner Site Rhine-Main, Mainz 55131, Germany.
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Ultrahigh-Resolution Photon-Counting Detector CT of the Lungs: Association of Reconstruction Kernel and Slice Thickness With Image Quality. AJR Am J Roentgenol 2023; 220:672-680. [PMID: 36475813 DOI: 10.2214/ajr.22.28515] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND. Prior work has shown improved image quality for photon-counting detector (PCD) CT of the lungs compared with energy-integrating detector CT. A paucity of the literature has compared PCD CT of the lungs using different reconstruction parameters. OBJECTIVE. The purpose of this study is to the compare the image quality of ultra-high-resolution (UHR) PCD CT image sets of the lungs that were reconstructed using different kernels and slice thicknesses. METHODS. This retrospective study included 29 patients (17 women and 12 men; median age, 56 years) who underwent noncontrast chest CT from February 15, 2022, to March 15, 2022, by use of a commercially available PCD CT scanner. All acquisitions used UHR mode (1024 × 1024 matrix). Nine image sets were reconstructed for all combinations of three sharp kernels (BI56, BI60, and BI64) and three slice thicknesses (0.2, 0.4, and 1.0 mm). Three radiologists independently reviewed reconstructions for measures of visualization of pulmonary anatomic structures and pathologies; reader assessments were pooled. Reconstructions were compared with the clinical reference reconstruction (obtained using the BI64 kernel and a 1.0-mm slice thickness [BI641.0-mm]). RESULTS. The median difference in the number of bronchial divisions identified versus the clinical reference reconstruction was higher for reconstructions with BI640.4-mm (0.5), BI600.4-mm (0.3), BI640.2-mm (0.5), and BI600.2-mm (0.2) (all p < .05). The median bronchial wall sharpness versus the clinical reference reconstruction was higher for reconstructions with BI640.4-mm (0.3) and BI640.2-mm (0.3) and was lower for BI561.0-mm (-0.7) and BI560.4-mm (-0.3) (all p < .05). Median pulmonary fissure sharpness versus the clinical reference reconstruction was higher for reconstructions with BI640.4-mm (0.3), BI600.4-mm (0.3), BI560.4-mm (0.5), BI640.2-mm (0.5), BI600.2-mm (0.5), and BI560.2-mm (0.3) (all p < .05). Median pulmonary vessel sharpness versus the clinical reference reconstruction was lower for reconstructions with BI561.0-mm (-0.3), BI60 0.4-mm (-0.3), BI560.4-mm (-0.7), BI640.2-mm (-0.7), BI600.2-mm (-0.7), and BI560.2-mm (-0.7). Median lung nodule conspicuity versus the clinical reference reconstruction was lower for reconstructions with BI561.0-mm (-0.3) and BI560.4-mm (-0.3) (both p < .05). Median conspicuity of all other pathologies versus the clinical reference reconstruction was lower for reconstructions with BI561.0 mm (-0.3), BI560.4-mm (-0.3), BI640.2-mm (-0.3), BI600.2-mm (-0.3), and BI560.2-mm (-0.3). Other comparisons among reconstructions were not significant (all p > .05). CONCLUSION. Only the reconstruction using BI640.4-mm yielded improved bronchial division identification and bronchial wall and pulmonary fissure sharpness without a loss in pulmonary vessel sharpness or conspicuity of nodules or other pathologies. CLINICAL IMPACT. The findings of this study may guide protocol optimization for UHR PCD CT of the lungs.
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Yalynska T, Polacin M, Frauenfelder T, Martini K. Impact of Photon Counting Detector CT Derived Virtual Monoenergetic Images on the Diagnosis of Pulmonary Embolism. Diagnostics (Basel) 2022; 12:diagnostics12112715. [PMID: 36359558 PMCID: PMC9689164 DOI: 10.3390/diagnostics12112715] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/01/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022] Open
Abstract
Purpose: To assess the impact of virtual-monoenergetic-image (VMI) energies on the diagnosis of pulmonary embolism (PE) in photon-counting-detector computed-tomography (PCD-CT). Methods: Eighty patients (median age 60.4 years) with suspected PE were retrospectively included. Scans were performed on PCD-CT in the multi-energy mode at 120 kV. VMIs from 40−70 keV in 10 keV intervals were reconstructed. CT-attenuation was measured in the pulmonary trunk and the main branches of the pulmonary artery. Signal-to-noise (SNR) ratio was calculated. Two radiologists evaluated subjective-image-quality (noise, vessel-attenuation and sharpness; five-point-Likert-scale, non-diagnostic−excellent), the presence of hardening artefacts and presence/visibility of PE. Results: Signal was highest at the lowest evaluated VMI (40 keV; 1053.50 HU); image noise was lowest at the highest VMI (70 keV; 15.60 HU). Highest SNR was achieved at the lowest VMI (p < 0.05). Inter-reader-agreement for subjective analysis was fair to excellent (k = 0.373−1.000; p < 0.001). Scores for vessel-attenuation and sharpness were highest at 40 keV (both:5, range 4/3−5; k = 1.000); scores for image-noise were highest at 70 keV (4, range 3−5). The highest number of hardening artifacts were reported at 40 keV (n = 22; 28%). PE-visualization was rated best at 50 keV (4.7; range 4−5) and decreased with increasing VMI-energy (r = −0.558; p < 0.001). Conclusions: While SNR was best at 40 keV, subjective PE visibility was rated highest at 50 keV, potentially owing to the lower image noise and hardening artefacts.
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Inoue A, Johnson TF, White D, Cox CW, Hartman TE, Thorne JE, Shanblatt ER, Johnson MP, Carter RE, Lee YS, Rajendran K, Leng S, McCollough CH, Fletcher JG. Estimating the Clinical Impact of Photon-Counting-Detector CT in Diagnosing Usual Interstitial Pneumonia. Invest Radiol 2022; 57:734-741. [PMID: 35703439 DOI: 10.1097/rli.0000000000000888] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The aim of this study was to evaluate the clinical impact of a higher spatial resolution, full field-of-view investigational photon-counting detector computed tomography (PCD-CT) on radiologist confidence in imaging findings and diagnosis of usual interstitial pneumonia (UIP) compared with conventional energy-integrating detector CT (EID-CT). MATERIALS AND METHODS Patients suspected of interstitial lung disease were scanned on a PCD-CT system after informed consent and a clinically indicated EID-CT. In 2 sessions, 3 thoracic radiologists blinded to clinical history and scanner type evaluated CT images of the right and left lungs separately on EID- or PCD-CT, reviewing each lung once/session, rating confidence in imaging findings of reticulation, traction bronchiectasis, honeycombing, ground-glass opacities (GGOs), mosaic pattern, and lower lobe predominance (100-point scale: 0-33, likely absent; 34-66, indeterminate; 67-100, likely present). Radiologists also rated confidence for the probability of UIP (0-20, normal; 21-40, inconsistent with UIP; 41-60, indeterminate UIP; 61-81; probable UIP; 81-100, definite UIP) and graded image quality. Because a confidence scale of 50 represented completely equivocal findings, magnitude score (the absolute value of confidence scores from 50) was used for analysis (higher scores were more confident). Image noise was measured for each modality. The magnitude score was compared using linear mixed effects regression. The consistency of findings and diagnosis between 2 scanners were evaluated using McNemar test and weighted κ statistics, respectively. RESULTS A total of 30 patients (mean age, 68.8 ± 11.0 years; M:F = 18:12) underwent conventional EID-CT (median CTDI vol , 7.88 mGy) and research PCD-CT (median CTDI vol , 6.49 mGy). The magnitude scores in PCD-CT were significantly higher than EID-CT for imaging findings of reticulation (40.7 vs 38.3; P = 0.023), GGO (34.4 vs 31.7; P = 0.019), and mosaic pattern (38.6 vs 35.9; P = 0.013), but not for other imaging findings ( P ≥ 0.130) or confidence in UIP (34.1 vs 22.2; P < 0.059). Magnitude score of probability of UIP in PCD-CT was significantly higher than EID-CT in one reader (26.0 vs 21.5; P = 0.009). Photon-counting detector CT demonstrated a decreased number of indeterminate GGO (17 vs 26), an increased number of unlikely GGO (74 vs 50), and an increased number of likely reticulations (140 vs 130) relative to EID-CT. Interobserver agreements among 3 readers for imaging findings and probability of UIP were similar between PCD-CT and EID-CT (intraclass coefficient: 0.507-0.818 vs 0.601-0.848). Photon-counting detector CT had higher scores in overall image quality (4.84 ± 0.38) than those in EID-CT (4.02 ± 0.40; P < 0.001) despite increased image noise (mean 85.5 vs 36.1 HU). CONCLUSIONS Photon-counting detector CT provided better image quality and improved the reader confidence for presence or absence of imaging findings of reticulation, GGO, and mosaic pattern with idiosyncratic improvement in confidence in UIP presence.
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Affiliation(s)
- Akitoshi Inoue
- From the Department of Radiology, Mayo Clinic, Rochester, MN
| | | | - Darin White
- From the Department of Radiology, Mayo Clinic, Rochester, MN
| | - Christian W Cox
- From the Department of Radiology, Mayo Clinic, Rochester, MN
| | | | | | | | - Matthew P Johnson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | | | - Yong S Lee
- From the Department of Radiology, Mayo Clinic, Rochester, MN
| | | | - Shuai Leng
- From the Department of Radiology, Mayo Clinic, Rochester, MN
| | | | - Joel G Fletcher
- From the Department of Radiology, Mayo Clinic, Rochester, MN
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Rudzinski PN, Leipsic JA, Schoepf UJ, Dudek D, Schwarz F, Andreas M, Zlahoda-Huzior A, Thilo C, Renker M, Burt JR, Emrich T, Varga-Szemes A, Amoroso NS, Steinberg DH, Pukacki P, Demkow M, Kepka C, Bayer RR. CT in Transcatheter-delivered Treatment of Valvular Heart Disease. Radiology 2022; 304:4-17. [PMID: 35638923 DOI: 10.1148/radiol.210567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Minimally invasive strategies to treat valvular heart disease have emerged over the past 2 decades. The use of transcatheter aortic valve replacement in the treatment of severe aortic stenosis, for example, has recently expanded from high- to low-risk patients and became an alternative treatment for those with prohibitive surgical risk. With the increase in transcatheter strategies, multimodality imaging, including echocardiography, CT, fluoroscopy, and cardiac MRI, are used. Strategies for preprocedural imaging strategies vary depending on the targeted valve. Herein, an overview of preprocedural imaging strategies and their postprocessing approaches is provided, with a focus on CT. Transcatheter aortic valve replacement is reviewed, as well as less established minimally invasive treatments of the mitral and tricuspid valves. In addition, device-specific details and the goals of CT imaging are discussed. Future imaging developments, such as peri-procedural fusion imaging, machine learning for image processing, and mixed reality applications, are presented.
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Affiliation(s)
- Piotr Nikodem Rudzinski
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Jonathon A Leipsic
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - U Joseph Schoepf
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Dariusz Dudek
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Florian Schwarz
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Martin Andreas
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Adriana Zlahoda-Huzior
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Christian Thilo
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Matthias Renker
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Jeremy R Burt
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Tilman Emrich
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Akos Varga-Szemes
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Nicholas S Amoroso
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Daniel H Steinberg
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Piotr Pukacki
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Marcin Demkow
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Cezary Kepka
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
| | - Richard R Bayer
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (P.N.R., U.J.S., J.R.B., T.E., A.V.S.), and Department of Cardiology (N.S.A., D.H.S., R.R.B.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland (P.N.R., M.D., C.K.); Department of Radiology for Providence Health Care, Vancouver Coastal Health, Vancouver, Canada (J.A.L.); Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland (D.D.); Maria Cecilia Hospital, GVM Care & Research, Cotignola (RA), Ravenna, Italy (D.D.); Department of Diagnostic and Interventional Radiology, Universitätsklinikum Augsburg, Augsburg, Germany (F.S.); Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria (M.A.); Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland (A.Z.H.); Department of Cardiology, Medizinische Klinik I, RoMed Klinikum Rosenheim, Rosenheim, Germany (C.T.); Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Germany (M.R.); and Department of Radiology, Poznan University of Medical Sciences, Poznan, Poland (P.P.)
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Coronary Computed Tomography Angiography-Based Calcium Scoring: In Vitro and In Vivo Validation of a Novel Virtual Noniodine Reconstruction Algorithm on a Clinical, First-Generation Dual-Source Photon Counting-Detector System. Invest Radiol 2022; 57:536-543. [PMID: 35318969 DOI: 10.1097/rli.0000000000000868] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE The aim of this study was to evaluate coronary computed tomography angiography (CCTA)-based in vitro and in vivo coronary artery calcium scoring (CACS) using a novel virtual noniodine reconstruction (PureCalcium) on a clinical first-generation photon-counting detector-computed tomography system compared with virtual noncontrast (VNC) reconstructions and true noncontrast (TNC) acquisitions. MATERIALS AND METHODS Although CACS and CCTA are well-established techniques for the assessment of coronary artery disease, they are complementary acquisitions, translating into increased scan time and patient radiation dose. Hence, accurate CACS derived from a single CCTA acquisition would be highly desirable. In this study, CACS based on PureCalcium, VNC, and TNC, reconstructions was evaluated in a CACS phantom and in 67 patients (70 [59/80] years, 58.2% male) undergoing CCTA on a first-generation photon counting detector-computed tomography system. Coronary artery calcium scores were quantified for the 3 reconstructions and compared using Wilcoxon test. Agreement was evaluated by Pearson and Spearman correlation and Bland-Altman analysis. Classification of coronary artery calcium score categories (0, 1-10, 11-100, 101-400, and >400) was compared using Cohen κ. RESULTS Phantom studies demonstrated strong agreement between CACSPureCalcium and CACSTNC (60.7 ± 90.6 vs 67.3 ± 88.3, P = 0.01, r = 0.98, intraclass correlation [ICC] = 0.98; mean bias, 6.6; limits of agreement [LoA], -39.8/26.6), whereas CACSVNC showed a significant underestimation (42.4 ± 75.3 vs 67.3 ± 88.3, P < 0.001, r = 0.94, ICC = 0.89; mean bias, 24.9; LoA, -87.1/37.2). In vivo comparison confirmed a high correlation but revealed an underestimation of CACSPureCalcium (169.3 [0.7/969.4] vs 232.2 [26.5/1112.2], P < 0.001, r = 0.97, ICC = 0.98; mean bias, -113.5; LoA, -470.2/243.2). In comparison, CACSVNC showed a similarly high correlation, but a substantially larger underestimation (24.3 [0/272.3] vs 232.2 [26.5/1112.2], P < 0.001, r = 0.97, ICC = 0.54; mean bias, -551.6; LoA, -2037.5/934.4). CACSPureCalcium showed superior agreement of CACS classification (κ = 0.88) than CACSVNC (κ = 0.60). CONCLUSIONS The accuracy of CACS quantification and classification based on PureCalcium reconstructions of CCTA outperforms CACS derived from VNC reconstructions.
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Overlapping Reconstructions in Thin-section Computed Tomography. J Thorac Imaging 2021; 37:W56-W57. [DOI: 10.1097/rti.0000000000000631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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