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Lennartz S, Zopfs D, Große Hokamp N. Dual-energy CT revisited: a focused review of clinical use cases. ROFO-FORTSCHR RONTG 2024; 196:794-806. [PMID: 38176436 DOI: 10.1055/a-2203-2945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Affiliation(s)
- Simon Lennartz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - David Zopfs
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Nils Große Hokamp
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Cao J, Mroueh N, Lennartz S, Mercaldo ND, Pisuchpen N, Kongboonvijit S, Srinivas Rao S, Yuenyongsinchai K, Pierce TT, Sertic M, Chung R, Kambadakone AR. Multi-reader multiparametric DECT study evaluating different strengths of iterative and deep learning-based image reconstruction techniques. Eur Radiol 2024:10.1007/s00330-024-10974-3. [PMID: 39046499 DOI: 10.1007/s00330-024-10974-3] [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: 02/19/2024] [Revised: 05/17/2024] [Accepted: 07/04/2024] [Indexed: 07/25/2024]
Abstract
OBJECTIVES To perform a multi-reader comparison of multiparametric dual-energy computed tomography (DECT) images reconstructed with deep-learning image reconstruction (DLIR) and standard-of-care adaptive statistical iterative reconstruction-V (ASIR-V). METHODS This retrospective study included 100 patients undergoing portal venous phase abdominal CT on a rapid kVp switching DECT scanner. Six reconstructed DECT sets (ASIR-V and DLIR, each at three strengths) were generated. Each DECT set included 65 keV monoenergetic, iodine, and virtual unenhanced (VUE) images. Using a Likert scale, three radiologists performed qualitative assessments for image noise, contrast, small structure visibility, sharpness, artifact, and image preference. Quantitative assessment was performed by measuring attenuation, image noise, and contrast-to-noise ratios (CNR). For the qualitative analysis, Gwet's AC2 estimates were used to assess agreement. RESULTS DECT images reconstructed with DLIR yielded better qualitative scores than ASIR-V images except for artifacts, where both groups were comparable. DLIR-H images were rated higher than other reconstructions on all parameters (p-value < 0.05). On quantitative analysis, there was no significant difference in the attenuation values between ASIR-V and DLIR groups. DLIR images had higher CNR values for the liver and portal vein, and lower image noise, compared to ASIR-V images (p-value < 0.05). The subgroup analysis of patients with large body habitus (weight ≥ 90 kg) showed similar results to the study population. Inter-reader agreement was good-to-very good overall. CONCLUSION Multiparametric post-processed DECT datasets reconstructed with DLIR were preferred over ASIR-V images with DLIR-H yielding the highest image quality scores. CLINICAL RELEVANCE STATEMENT Deep-learning image reconstruction in dual-energy CT demonstrated significant benefits in qualitative and quantitative image metrics compared to adaptive statistical iterative reconstruction-V. KEY POINTS Dual-energy CT (DECT) images reconstructed using deep-learning image reconstruction (DLIR) showed superior qualitative scores compared to adaptive statistical iterative reconstruction-V (ASIR-V) reconstructed images, except for artifacts where both reconstructions were rated comparable. While there was no significant difference in attenuation values between ASIR-V and DLIR groups, DLIR images showed higher contrast-to-noise ratios (CNR) for liver and portal vein, and lower image noise (p value < 0.05). Subgroup analysis of patients with large body habitus (weight ≥ 90 kg) yielded similar findings to the overall study population.
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Affiliation(s)
- Jinjin Cao
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
| | - Nayla Mroueh
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
| | - Simon Lennartz
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
- Institute for Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Nathaniel D Mercaldo
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
| | - Nisanard Pisuchpen
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
- Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Sasiprang Kongboonvijit
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
- Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Shravya Srinivas Rao
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
| | - Kampon Yuenyongsinchai
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
- Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Theodore T Pierce
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
| | - Madeleine Sertic
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
| | - Ryan Chung
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
| | - Avinash R Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA.
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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; 69:10.1088/1361-6560/ad5d4a. [PMID: 38942009 PMCID: PMC11267461 DOI: 10.1088/1361-6560/ad5d4a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 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
- Medical Physics Graduate Program, Duke University Medical Center, Durham, NC, 27705
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892
| | - Faraz Farhadi
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892
- Geisel School of Medicine, Dartmouth College, Hanover, NH 03755
| | - Babak Saboury
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892
| | | | - Ayele H. Negussie
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892
| | - William F. Pritchard
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892
| | - Elizabeth C. Jones
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892
| | - Ehsan Samei
- Carl E. Ravin Advanced Imaging Laboratories and Center for Virtual Imaging Trials, Department of Radiology, Duke University Medical Center, Durham, NC, 27705
- Medical Physics Graduate Program, Duke University Medical Center, Durham, NC, 27705
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Chang S, Jung JI, Beck KS, Chang K, Kim Y, Han K. Diagnostic Efficacy and Safety of Low-Contrast-Dose Dual-Energy CT in Patients With Renal Impairment Undergoing Transcatheter Aortic Valve Replacement. Korean J Radiol 2024; 25:634-643. [PMID: 38942457 PMCID: PMC11214918 DOI: 10.3348/kjr.2023.1207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 06/30/2024] Open
Abstract
OBJECTIVE This study aimed to evaluate the diagnostic efficacy and safety of low-contrast-dose, dual-source dual-energy CT before transcatheter aortic valve replacement (TAVR) in patients with compromised renal function. MATERIALS AND METHODS A total of 54 consecutive patients (female:male, 26:38; 81.9 ± 7.3 years) with reduced renal function underwent pre-TAVR dual-energy CT with a 30-mL contrast agent between June 2022 and March 2023. Monochromatic (40- and 50-keV) and conventional (120-kVp) images were reconstructed and analyzed. The subjective quality score, vascular attenuation, contrast-to-noise ratio (CNR), and signal-to-noise ratio (SNR) were compared among the imaging techniques using the Friedman test and post-hoc analysis. Interobserver reliability for aortic annular measurement was assessed using the intraclass correlation coefficient (ICC) and Bland-Altman analysis. The procedural outcomes and incidence of post-contrast acute kidney injury (AKI) were assessed. RESULTS Monochromatic images achieved diagnostic quality in all patients. The 50-keV images achieved superior vascular attenuation and CNR (P < 0.001 in all) while maintaining a similar SNR compared to conventional CT. For aortic annular measurement, the 50-keV images showed higher interobserver reliability compared to conventional CT: ICC, 0.98 vs. 0.90 for area and 0.97 vs. 0.95 for perimeter; 95% limits of agreement width, 0.63 cm² vs. 0.92 cm² for area and 5.78 mm vs. 8.50 mm for perimeter. The size of the implanted device matched CT-measured values in all patients, achieving a procedural success rate of 92.6%. No patient experienced a serum creatinine increase of ≥ 1.5 times baseline in the 48-72 hours following CT. However, one patient had a procedural delay due to gradual renal function deterioration. CONCLUSION Low-contrast-dose imaging with 50-keV reconstruction enables precise pre-TAVR evaluation with improved image quality and minimal risk of post-contrast AKI. This approach may be an effective and safe option for pre-TAVR evaluation in patients with compromised renal function.
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Affiliation(s)
- Suyon Chang
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jung Im Jung
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
| | - Kyongmin Sarah Beck
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kiyuk Chang
- Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yaeni Kim
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kyunghwa Han
- Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea
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Xiao CH, Liu P, Zhang HH, Yang F, Chen X, Huang F, Liu JB, Tan XZ. Incremental diagnostic value of virtual non-contrast dual-energy CT for the diagnosis of choledocholithiasis over conventional unenhanced CT. Diagn Interv Imaging 2024; 105:292-298. [PMID: 38378382 DOI: 10.1016/j.diii.2024.02.004] [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: 09/27/2023] [Revised: 02/04/2024] [Accepted: 02/06/2024] [Indexed: 02/22/2024]
Abstract
PURPOSE The purpose of this study was to evaluate the incremental diagnostic value of virtual non-contrast (VNC) images derived from unenhanced dual-energy computed tomography (CT) for the diagnosis of choledocholithiasis by comparison with conventional unenhanced CT. MATERIALS AND METHODS Eighty-nine patients with gallbladder stones who had undergone both abdominal unenhanced dual-energy CT and magnetic resonance cholangiopancreatography (MRCP) were retrospectively included. There were 53 men and 36 women, with a mean age of 54 ± 13 (standard deviation) years (age range: 41-67 years). VNC and conventional CT images were generated. Two independent radiologists evaluated the presence of choledocholithiasis in three reading sessions (session 1, conventional unenhanced CT images; session 2, VNC images; session 3, conventional unenhanced CT plus VNC images). The reading time to identify choledocholithiasis was recorded. Inter-reader agreement was measured by using the Cohen kappa (κ) test. Incremental diagnostic value of VNC imaging when combined with conventional unenhanced CT was assessed based on discrimination (area under the curve [AUC]) and clinical utility (decision curve analysis). The diagnostic performance of dual-energy CT and that of MRCP were compared using DeLong test. RESULTS Using the standard of reference, 39 patients (39/89; 44%) had choledocholithiasis. The diagnosis of choledocholithiasis was improved using VNC images in combination with conventional unenhanced CT (AUC, 0.877; 95% confidence interval [CI]: 0.808, 0.947) by comparison with conventional unenhanced CT alone (AUC, 0.789; 95% CI: 0.718, 0.877) (P = 0.033) and achieved almost perfect inter-reader agreement (κ = 0.88; 95% CI: 0.72, 1.00) for the diagnosis of choledocholithiasis, without lengthening the median reading time (16.2 s for the combination of conventional CT and VNC images vs. 14.7 s for conventional CT alone; P= 0.325). Based on decision curve analysis, adding VNC imaging to conventional unenhanced CT resulted in a higher net benefit among most of decision thresholds. No differences in diagnostic performance were found between the combination of conventional unenhanced CT and VNC imaging (AUC, 0.877; 95% CI: 0.808, 0.947) and MRCP (AUC, 0.913; 95% CI: 0.852, 0.974) (P= 0.458). CONCLUSIONS VNC images derived from dual-energy unenhanced CT have incremental diagnostic value for the diagnosis of choledocholithiasis. Unenhanced CT in a dual-energy mode may be a useful tool for the diagnosis of choledocholithiasis.
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Affiliation(s)
- Chang-Hui Xiao
- Department of Radiology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha 410005, China; Department of Radiology, Changde Hospital, Xiangya School of Medicine, Central South University, Changde 415000, Hunan, China
| | - Peng Liu
- Department of Radiology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha 410005, China
| | - Hui-Hui Zhang
- Department of Radiology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha 410005, China
| | - Fan Yang
- Department of Radiology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha 410005, China
| | - Xiang Chen
- Department of Radiology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha 410005, China
| | - Feng Huang
- Department of Radiology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha 410005, China
| | - Jian-Bin Liu
- Department of Radiology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha 410005, China
| | - Xian-Zheng Tan
- Department of Radiology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.
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García-Figueiras R, Oleaga L, Broncano J, Tardáguila G, Fernández-Pérez G, Vañó E, Santos-Armentia E, Méndez R, Luna A, Baleato-González S. What to Expect (and What Not) from Dual-Energy CT Imaging Now and in the Future? J Imaging 2024; 10:154. [PMID: 39057725 PMCID: PMC11278514 DOI: 10.3390/jimaging10070154] [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: 05/19/2024] [Revised: 06/09/2024] [Accepted: 06/14/2024] [Indexed: 07/28/2024] Open
Abstract
Dual-energy CT (DECT) imaging has broadened the potential of CT imaging by offering multiple postprocessing datasets with a single acquisition at more than one energy level. DECT shows profound capabilities to improve diagnosis based on its superior material differentiation and its quantitative value. However, the potential of dual-energy imaging remains relatively untapped, possibly due to its intricate workflow and the intrinsic technical limitations of DECT. Knowing the clinical advantages of dual-energy imaging and recognizing its limitations and pitfalls is necessary for an appropriate clinical use. The aims of this paper are to review the physical and technical bases of DECT acquisition and analysis, to discuss the advantages and limitations of DECT in different clinical scenarios, to review the technical constraints in material labeling and quantification, and to evaluate the cutting-edge applications of DECT imaging, including artificial intelligence, qualitative and quantitative imaging biomarkers, and DECT-derived radiomics and radiogenomics.
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Affiliation(s)
- Roberto García-Figueiras
- Department of Radiology, Hospital Clínico Universitario de Santiago, Choupana, 15706 Santiago de Compostela, Spain
| | - Laura Oleaga
- Department of Radiology, Hospital Clinic, C. de Villarroel, 170, 08036 Barcelona, Spain
| | | | - Gonzalo Tardáguila
- Department of Radiology, Hospital Ribera Povisa, Rúa de Salamanca, 5, Vigo, 36211 Pontevedra, Spain
| | | | - Eliseo Vañó
- Department of Radiology, Hospital Universitario Nuestra Señora, del Rosario, C. del Príncipe de Vergara, 53, 28006 Madrid, Spain
| | - Eloísa Santos-Armentia
- Department of Radiology, Hospital Ribera Povisa, Rúa de Salamanca, 5, Vigo, 36211 Pontevedra, Spain
| | - Ramiro Méndez
- Department of Radiology, Hospital Universitario Nuestra Señora, del Rosario, C. del Príncipe de Vergara, 53, 28006 Madrid, Spain
- Department of Radiology, Hospital Universitario Clínico San Carlos, Calle del Prof Martín Lagos, 28040 Madrid, Spain
| | | | - Sandra Baleato-González
- Department of Radiology, Hospital Clínico Universitario de Santiago, Choupana, 15706 Santiago de Compostela, Spain
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Stański M, Michałowska I, Lemanowicz A, Karmelita-Katulska K, Ratajczak P, Sławińska A, Serafin Z. Dual-Energy and Photon-Counting Computed Tomography in Vascular Applications-Technical Background and Post-Processing Techniques. Diagnostics (Basel) 2024; 14:1223. [PMID: 38928639 PMCID: PMC11202784 DOI: 10.3390/diagnostics14121223] [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: 05/03/2024] [Revised: 05/30/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024] Open
Abstract
The field of computed tomography (CT), which is a basic diagnostic tool in clinical practice, has recently undergone rapid technological advances. These include the evolution of dual-energy CT (DECT) and development of photon-counting computed tomography (PCCT). DECT enables the acquisition of CT images at two different energy spectra, which allows for the differentiation of certain materials, mainly calcium and iodine. PCCT is a recent technology that enables a scanner to quantify the energy of each photon gathered by the detector. This method gives the possibility to decrease the radiation dose and increase the spatial and temporal resolutions of scans. Both of these techniques have found a wide range of applications in radiology, including vascular studies. In this narrative review, the authors present the principles of DECT and PCCT, outline their advantages and drawbacks, and briefly discuss the application of these methods in vascular radiology.
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Affiliation(s)
- Marcin Stański
- Department of General Radiology and Neuroradiology, Poznan University of Medical Sciences, 61-701 Poznań, Poland;
| | - Ilona Michałowska
- Department of Radiology, National Institute of Cardiology, 04-628 Warsaw, Poland;
| | - Adam Lemanowicz
- Department of Radiology and Diagnostic Imaging, Nicolaus Copernicus University, Collegium Medicum, 85-067 Bydgoszcz, Poland; (A.L.); (P.R.); (A.S.); (Z.S.)
| | - Katarzyna Karmelita-Katulska
- Department of General Radiology and Neuroradiology, Poznan University of Medical Sciences, 61-701 Poznań, Poland;
| | - Przemysław Ratajczak
- Department of Radiology and Diagnostic Imaging, Nicolaus Copernicus University, Collegium Medicum, 85-067 Bydgoszcz, Poland; (A.L.); (P.R.); (A.S.); (Z.S.)
| | - Agata Sławińska
- Department of Radiology and Diagnostic Imaging, Nicolaus Copernicus University, Collegium Medicum, 85-067 Bydgoszcz, Poland; (A.L.); (P.R.); (A.S.); (Z.S.)
| | - Zbigniew Serafin
- Department of Radiology and Diagnostic Imaging, Nicolaus Copernicus University, Collegium Medicum, 85-067 Bydgoszcz, Poland; (A.L.); (P.R.); (A.S.); (Z.S.)
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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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Yang Y, Hou J, Niu Y, Zhang Y, Luo T, Lu Q, Fu Y, Wang Y, Yu X. Correlation between vertebral bone mineral density and multi-level virtual non-calcium imaging parameters from dual-layer spectral detector computed tomography. Quant Imaging Med Surg 2024; 14:3803-3815. [PMID: 38846313 PMCID: PMC11151250 DOI: 10.21037/qims-23-1543] [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: 11/01/2023] [Accepted: 03/16/2024] [Indexed: 06/09/2024]
Abstract
Background Virtual non-calcium (VNCa) imaging based on dual-energy computed tomography (CT) plays an increasingly important role in diagnosing spinal diseases. However, the utility of VNCa technology in the measurement of vertebral bone mineral density (BMD) is limited, especially the VNCa CT value at multiple calcium suppression levels and the slope of VNCa curve. This retrospective cross-sectional study aimed to explore the correlation between vertebral BMD and new VNCa parameters from dual-layer spectral detector CT. Methods The dual-layer spectral detector CT and quantitative CT (QCT) data of 4 hydroxyapatite (HAP) inserts and 667 vertebrae of 234 patients (132 male and 102 female) who visited a university teaching hospital between April and May 2023 were retrospectively analyzed. The BMD values of 3 vertebrae (T12, L1, and L2) and inserts were measured using QCT, defined as QCT-BMD. The VNCa CT values and the slope λ of the VNCa attenuation curve of vertebrae and inserts were recorded. The correlations between VNCa parameters (VNCa CT value, slope λ) and QCT-BMD were analyzed. Results For the vertebrae, the correlation coefficient ranged from -0.904 to 0.712 (all P<0.05). As the calcium suppression index (CaSI) increased, the correlation degree exhibited a decrease first and then increased, with the best correlation (r=-0.904, P<0.001) observed at the index of 25%. In contrast, the correlation coefficient for the inserts remained relatively stable (r=-0.899 to -1, all P<0.05). For the vertebrae, the values of 3 slopes λ (λ1, λ2, and λ3) derived from the VNCa attenuation curve were 6.50±1.99, 3.75±1.15, and 2.04±0.62, respectively. Regarding the inserts, the λ1, λ2, and λ3 values were 11.56 [interquartile range (IQR): 2.40-22.62], 6.68 (IQR: 1.39-13.49), and 3.63 (IQR: 0.75-7.8), respectively. For the vertebrae, all 3 correlation coefficients between 3 slopes λ and QCT-BMD were 0.956 (all P<0.05). For the inserts, the 3 correlation coefficients were 0.996, 0.998, and 1 (all P<0.05), respectively. Conclusions A promising correlation was detected between VNCa CT parameters and QCT-BMD in vertebrae, warranting further investigation to explore the possibility of VNCa imaging to assess BMD.
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Affiliation(s)
- Yanhui Yang
- Department of Diagnostic Radiology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang, China
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Jing Hou
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yue Niu
- Department of Diagnostic Radiology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang, China
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yi Zhang
- Department of Diagnostic Radiology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang, China
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Tao Luo
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Qiang Lu
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yi Fu
- Medical Department, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yu Wang
- Clinical and Technical Support, Philips Healthcare, Shanghai, China
| | - Xiaoping Yu
- Department of Diagnostic Radiology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang, China
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
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Asmundo L, Rizzetto F, Srinivas Rao S, Sgrazzutti C, Vicentin I, Kambadakone A, Catalano OA, Vanzulli A. Dual-energy CT applications on liver imaging: what radiologists and radiographers should know? A systematic review. Abdom Radiol (NY) 2024:10.1007/s00261-024-04380-y. [PMID: 38811447 DOI: 10.1007/s00261-024-04380-y] [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: 03/05/2024] [Revised: 05/06/2024] [Accepted: 05/11/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE This review aims to provide a comprehensive summary of DECT techniques, acquisition workflows, and post-processing methods. By doing so, we aim to elucidate the advantages and disadvantages of DECT compared to conventional single-energy CT imaging. METHODS A systematic search was conducted on MEDLINE/EMBASE for DECT studies in liver imaging published between 1980 and 2024. Information regarding study design and endpoints, patient characteristics, DECT technical parameters, radiation dose, iodinated contrast agent (ICA) administration and postprocessing methods were extracted. Technical parameters, including DECT phase, field of view, pitch, collimation, rotation time, arterial phase timing (from injection), and venous timing (from injection) from the included studies were reported, along with formal narrative synthesis of main DECT applications for liver imaging. RESULTS Out of the initially identified 234 articles, 153 met the inclusion criteria. Extensive variability in acquisition parameters was observed, except for tube voltage (80/140 kVp combination reported in 50% of articles) and ICA administration (1.5 mL/kg at 3-4 mL/s, reported in 91% of articles). Radiation dose information was provided in only 40% of articles (range: 6-80 mGy), and virtual non-contrast imaging (VNC) emerged as a common strategy to reduce the radiation dose. The primary application of DECT post-processed images was in detecting focal liver lesions (47% of articles), with predominance of study focusing on hepatocellular carcinoma (HCC) (27%). Furthermore, a significant proportion of the articles (16%) focused on enhancing DECT protocols, while 15% explored metastasis detection. CONCLUSION Our review recommends using 80/140 kVp tube voltage with 1.5 mL/kg ICA at 3-4 mL/s flow rate. Post-processing should include low keV-VMI for enhanced lesion detection, IMs for tumor iodine content evaluation, and VNC for dose reduction. However, heterogeneous literature hinders protocol standardization.
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Affiliation(s)
- Luigi Asmundo
- Postgraduate School of Diagnostic and Interventional Radiology, Università degli Studi di Milano, via Festa del Perdono 7, 20122, Milan, Italy
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Francesco Rizzetto
- Postgraduate School of Diagnostic and Interventional Radiology, Università degli Studi di Milano, via Festa del Perdono 7, 20122, Milan, Italy.
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
| | - Shravya Srinivas Rao
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Cristiano Sgrazzutti
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy
| | - Ilaria Vicentin
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Onofrio Antonio Catalano
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Angelo Vanzulli
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy
- Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, via Festa del Perdono 7, 20122, Milan, Italy
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Wang Y, Hu H, Ban X, Jiang Y, Su Y, Yang L, Shi G, Yang L, Han R, Duan X. Evaluation of Quantitative Dual-Energy Computed Tomography Parameters for Differentiation of Parotid Gland Tumors. Acad Radiol 2024; 31:2027-2038. [PMID: 37730491 DOI: 10.1016/j.acra.2023.08.024] [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: 06/27/2023] [Revised: 08/15/2023] [Accepted: 08/19/2023] [Indexed: 09/22/2023]
Abstract
RATIONALE AND OBJECTIVES To assess the diagnostic performance of quantitative parameters from dual-energy CT (DECT) in differentiating parotid gland tumors (PGTs). MATERIALS AND METHODS 101 patients with 108 pathologically proved PGTs were enrolled and classified into four groups: pleomorphic adenomas (PAs), warthin tumors (WTs), other benign tumors (OBTs), and malignant tumors (MTs). Conventional CT attenuation and DECT quantitative parameters, including iodine concentration (IC), normalized iodine concentration (NIC), effective atomic number (Zeff), electron density (Rho), double energy index (DEI), and the slope of the spectral Hounsfield unit curve (λHU), were obtained and compared between benign tumors (BTs) and MTs, and further compared among the four subgroups. Logistic regression analysis was used to assess the independent parameters and the receiver operating characteristic (ROC) curves were used to analyze the diagnostic performance. RESULTS Attenuation, Zeff, DEI, IC, NIC, and λHU in the arterial phase (AP) and venous phase (VP) were higher in MTs than in BTs (p < 0.001-0.047). λHU in VP and Zeff in AP were independent predictors with an area under the curve (AUC) of 0.84 after the combination. Furthermore, attenuation, Zeff, DEI, IC, NIC, and λHU in the AP and VP of MTs were higher than those of PAs (p < 0.001-0.047). Zeff and NIC in AP and λHU in VP were independent predictors with an AUC of 0.93 after the combination. Attenuation and Rho in the precontrast phase; attenuation, Rho, Zeff, DEI, IC, NIC, and λHU in AP; and the Rho in the VP of PAs were lower than those of WTs (p < 0.001-0.03). Rho in the precontrast phase and attenuation in AP were independent predictors with an AUC of 0.89 after the combination. MTs demonstrated higher Zeff, DEI, IC, NIC, and λHU in VP and lower Rho in the precontrast phase compared with WTs (p < 0.001-0.04); but no independent predictors were found. CONCLUSION DECT quantitative parameters can help to differentiate PGTs.
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Affiliation(s)
- Yu Wang
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong, China (Y.W., H.H., Y.J., Y.S., L.Y., G.S., L.Y., R.H., X.D.)
| | - Huijun Hu
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong, China (Y.W., H.H., Y.J., Y.S., L.Y., G.S., L.Y., R.H., X.D.)
| | - Xiaohua Ban
- Department of Radiology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou 510060, Guangdong, China (X.B.)
| | - Yusong Jiang
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong, China (Y.W., H.H., Y.J., Y.S., L.Y., G.S., L.Y., R.H., X.D.)
| | - Yun Su
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong, China (Y.W., H.H., Y.J., Y.S., L.Y., G.S., L.Y., R.H., X.D.)
| | - Lingjie Yang
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong, China (Y.W., H.H., Y.J., Y.S., L.Y., G.S., L.Y., R.H., X.D.)
| | - Guangzi Shi
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong, China (Y.W., H.H., Y.J., Y.S., L.Y., G.S., L.Y., R.H., X.D.); Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, Guangdong, China (G.S., X.D.)
| | - Lu Yang
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong, China (Y.W., H.H., Y.J., Y.S., L.Y., G.S., L.Y., R.H., X.D.)
| | - Riyu Han
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong, China (Y.W., H.H., Y.J., Y.S., L.Y., G.S., L.Y., R.H., X.D.)
| | - Xiaohui Duan
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong, China (Y.W., H.H., Y.J., Y.S., L.Y., G.S., L.Y., R.H., X.D.); Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, Guangdong, China (G.S., X.D.).
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12
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Abu-Omar A, Murray N, Ali IT, Khosa F, Barrett S, Sheikh A, Nicolaou S, Tamburrini S, Iacobellis F, Sica G, Granata V, Saba L, Masala S, Scaglione M. Utility of Dual-Energy Computed Tomography in Clinical Conundra. Diagnostics (Basel) 2024; 14:775. [PMID: 38611688 PMCID: PMC11012177 DOI: 10.3390/diagnostics14070775] [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: 01/29/2024] [Revised: 03/25/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Advancing medical technology revolutionizes our ability to diagnose various disease processes. Conventional Single-Energy Computed Tomography (SECT) has multiple inherent limitations for providing definite diagnoses in certain clinical contexts. Dual-Energy Computed Tomography (DECT) has been in use since 2006 and has constantly evolved providing various applications to assist radiologists in reaching certain diagnoses SECT is rather unable to identify. DECT may also complement the role of SECT by supporting radiologists to confidently make diagnoses in certain clinically challenging scenarios. In this review article, we briefly describe the principles of X-ray attenuation. We detail principles for DECT and describe multiple systems associated with this technology. We describe various DECT techniques and algorithms including virtual monoenergetic imaging (VMI), virtual non-contrast (VNC) imaging, Iodine quantification techniques including Iodine overlay map (IOM), and two- and three-material decomposition algorithms that can be utilized to demonstrate a multitude of pathologies. Lastly, we provide our readers commentary on examples pertaining to the practical implementation of DECT's diverse techniques in the Gastrointestinal, Genitourinary, Biliary, Musculoskeletal, and Neuroradiology systems.
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Affiliation(s)
- Ahmad Abu-Omar
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Nicolas Murray
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Ismail T. Ali
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Faisal Khosa
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Sarah Barrett
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Adnan Sheikh
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Savvas Nicolaou
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Stefania Tamburrini
- Department of Radiology, Ospedale del Mare-ASL NA1 Centro, Via Enrico Russo 11, 80147 Naples, Italy
| | - Francesca Iacobellis
- Department of General and Emergency Radiology, A. Cardarelli Hospital, Via A. Cardarelli 9, 80131 Naples, Italy;
| | - Giacomo Sica
- Department of Radiology, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy;
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS Di Napoli, 80131 Naples, Italy
| | - Luca Saba
- Medical Oncology Department, AOU Cagliari, Policlinico Di Monserrato (CA), 09042 Monserrato, Italy
| | - Salvatore Masala
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Viale S. Pietro, 07100 Sassari, Italy; (S.M.)
| | - Mariano Scaglione
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Viale S. Pietro, 07100 Sassari, Italy; (S.M.)
- Department of Radiology, Pineta Grande Hospital, 81030 Castel Volturno, Italy
- Department of Radiology, James Cook University Hospital, Marton Road, Middlesbrough TS4 3BW, UK
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Zhu C, Rong C, Song J, Zheng X, Wu Q, Hu J, Li J, Wu X. Evaluation of Mucosal Healing in Crohn's Disease: Radiomics Models of Intestinal Wall and Mesenteric Fat Based on Dual-Energy CT. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:715-724. [PMID: 38343267 PMCID: PMC11031530 DOI: 10.1007/s10278-024-00989-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/07/2023] [Accepted: 12/12/2023] [Indexed: 04/20/2024]
Abstract
This study aims to assess the effectiveness of radiomics signatures obtained from dual-energy computed tomography enterography (DECTE) in the evaluation of mucosal healing (MH) in patients diagnosed with Crohn's disease (CD). In this study, 106 CD patients with a total of 221 diseased intestinal segments (79 with MH and 142 non-MH) from two medical centers were included and randomly divided into training and testing cohorts at a ratio of 7:3. Radiomics features were extracted from the enteric phase iodine maps and 40-kev and 70-kev virtual monoenergetic images (VMIs) of the diseased intestinal segments, as well as from mesenteric fat. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO) logistic regression. Radiomics models were subsequently established, and the accuracy of these models in identifying MH in CD was assessed by calculating the area under the receiver operating characteristic curve (AUC). The combined-iodine model formulated by integrating the intestinal and mesenteric fat radiomics features of iodine maps exhibited the most favorable performance in evaluating MH, with AUCs of 0.989 (95% confidence interval (CI) 0.977-1.000) in the training cohort and 0.947 (95% CI 0.884-1.000) in the testing cohort. Patients categorized as high risk by the combined-iodine model displayed a greater probability of experiencing disease progression when contrasted with low-risk patients. The combined-iodine radiomics model, which is built upon iodine maps of diseased intestinal segments and mesenteric fat, has demonstrated promising performance in evaluating MH in CD patients.
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Affiliation(s)
- Chao Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China
| | - Chang Rong
- Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China
| | - Jian Song
- Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China
| | - Xiaomin Zheng
- Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China
| | - Qi Wu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China
| | - Jing Hu
- Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, People's Republic of China
| | - Jianying Li
- CT Research Center, GE Healthcare China, Shanghai, 210000, People's Republic of China
| | - Xingwang Wu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
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14
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Liu LP, Shapira N, Halliburton SS, Meyer S, Perkins A, Litt HI, Kauczor HU, Leiner T, Stiller W, Noël PB. Spectral performance evaluation of a second-generation spectral detector CT. J Appl Clin Med Phys 2024; 25:e14300. [PMID: 38386967 PMCID: PMC11005977 DOI: 10.1002/acm2.14300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 01/10/2024] [Accepted: 01/23/2024] [Indexed: 02/24/2024] Open
Abstract
PURPOSE The aim of this study was to characterize a second-generation wide-detector dual-layer spectral computed tomography (CT) system for material quantification accuracy, acquisition parameter and patient size dependencies, and tissue characterization capabilities. METHODS A phantom with multiple tissue-mimicking and material-specific inserts was scanned with a dual-layer spectral detector CT using different tube voltages, collimation widths, radiation dose levels, and size configurations. Accuracy of iodine density maps and virtual monoenergetic images (MonoE) were investigated. Additionally, differences between conventional and MonoE 70 keV images were calculated to evaluate acquisition parameter and patient size dependencies. To demonstrate material quantification and differentiation, liver-mimicking inserts with adipose and iron were analyzed with a two-base decomposition utilizing MonoE 50 and 150 keV, and root mean square error (RMSE) for adipose and iron content was reported. RESULTS Measured inserts exhibited quantitative accuracy across a wide range of MonoE levels. MonoE 70 keV images demonstrated reduced dependence compared to conventional images for phantom size (1 vs. 27 HU) and acquisition parameters, particularly tube voltage (4 vs. 37 HU). Iodine density quantification was successful with errors ranging from -0.58 to 0.44 mg/mL. Similarly, inserts with different amounts of adipose and iron were differentiated, and the small deviation in values within inserts corresponded to a RMSE of 3.49 ± 1.76% and 1.67 ± 0.84 mg/mL for adipose and iron content, respectively. CONCLUSION The second-generation dual-layer CT enables acquisition of quantitatively accurate spectral data without compromises from differences in patient size and acquisition parameters.
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Affiliation(s)
- Leening P. Liu
- Department of RadiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Nadav Shapira
- Department of RadiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Sebastian Meyer
- Department of RadiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Harold I. Litt
- Department of RadiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Hans Ulrich Kauczor
- Diagnostic and Interventional Radiology (DIR)Heidelberg University HospitalHeidelbergGermany
| | - Tim Leiner
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | - Wolfram Stiller
- Diagnostic and Interventional Radiology (DIR)Heidelberg University HospitalHeidelbergGermany
| | - Peter B. Noël
- Department of RadiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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Pacielli A, Vaudano GP, Bergamasco L, Prochet A, Gollini P, Perna ME. Assessment of post-thrombectomy brain hemorrhage in acute ischemic stroke with dual-energy CT: how reliable is it in clinical practice? LA RADIOLOGIA MEDICA 2024; 129:575-584. [PMID: 38368280 DOI: 10.1007/s11547-023-01749-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 10/27/2023] [Indexed: 02/19/2024]
Abstract
PURPOSE Acute ischemic stroke is currently among the main causes of mortality in Western countries. The current guidelines suggest different flowcharts of diagnostic work-up and treatment modalities, including endovascular thrombectomy. Immediately after intra-arterial recanalization, a brain CT scan is usually performed to assess for the presence of peri-procedural complications; in this setting, it is very hard, if possible, to differentiate blood from iodinated contrast material, which is normally present in ischemic tissue because of BBB disruption. Dual-energy CT may be used for this purpose, exploiting its ability to discriminate different materials. MATERIALS AND METHODS We retrospectively studied 44 patients with acute ischemic stroke who were treated with endovascular recanalization at San Giovanni Bosco Hospital in Turin and were then scanned with DECT technology. Subsequent scan was used as standard, since iodine from contrast staining is usually reabsorbed in 24 h and blood persists longer. A χ2 test of independence was performed to examine the relationship between blood detected by DECT scan after the endovascular procedure and the presence of blood in the same areas on the following scans, with a significant result: χ2 (1, N = 37) = 10.7086, p = 0.0010. RESULTS Patients with blood detected on DECT scans had a double chance of having hemorrhagic infarction in follow-up scans, (RR 2.02). The sensitivity and specificity of DECT were respectively 70% and 90%, with an overall diagnostic accuracy of 76% and a positive and negative predictive value, respectively, of 95% and 53%. CONCLUSION Dual-energy CT scan after endovascular recanalization in ischemic stroke identifies early hemorrhagic infarction with excellent specificity and good overall diagnostic accuracy, representing a reliable diagnostic tool in everyday clinical practice.
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Affiliation(s)
- Alberto Pacielli
- Department of Radiology and Neuroradiology, San Giovanni Bosco Hospital, Piazza Donatore del Sangue 3, Turin, Italy.
| | - Giacomo Paolo Vaudano
- Department of Radiology and Neuroradiology, San Giovanni Bosco Hospital, Piazza Donatore del Sangue 3, Turin, Italy
| | - Laura Bergamasco
- Department of Surgical Sciences, University of Torino - A.O.U. Città della Salute e della Scienza di Torino, C.So Bramante 88, 10126, Turin, Italy
| | - Adolfo Prochet
- Department of Radiology and Neuroradiology, San Giovanni Bosco Hospital, Piazza Donatore del Sangue 3, Turin, Italy
| | - Paola Gollini
- Department of Radiology and Neuroradiology, San Giovanni Bosco Hospital, Piazza Donatore del Sangue 3, Turin, Italy
| | - Maria Elena Perna
- Department of Radiology and Neuroradiology, San Giovanni Bosco Hospital, Piazza Donatore del Sangue 3, Turin, Italy
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Wang N, Bing X, Li Y, Yao J, Dai Z, Yu D, Ouyang A. Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma. Medicine (Baltimore) 2024; 103:e37288. [PMID: 38457546 PMCID: PMC10919525 DOI: 10.1097/md.0000000000037288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 12/23/2023] [Accepted: 01/25/2024] [Indexed: 03/10/2024] Open
Abstract
INTRODUCTION Clear cell renal cell carcinoma (ccRCC) is the most lethal subtype of renal cell carcinoma with a high invasive potential. Radiomics has attracted much attention in predicting the preoperative T-staging and nuclear grade of ccRCC. OBJECTIVE The objective was to evaluate the efficacy of dual-energy computed tomography (DECT) radiomics in predicting ccRCC grade and T-stage while optimizing the models. METHODS 200 ccRCC patients underwent preoperative DECT scanning and were randomized into training and validation cohorts. Radiomics models based on 70 KeV, 100 KeV, 150 KeV, iodine-based material decomposition images (IMDI), virtual noncontrasted images (VNC), mixed energy images (MEI) and MEI + IMDI were established for grading and T-staging. Receiver operating characteristic analysis and decision curve analysis (DCA) were performed. The area under the curve (AUC) values were compared using Delong test. RESULTS For grading, the AUC values of these models ranged from 0.64 to 0.97 during training and from 0.54 to 0.72 during validation. In the validation cohort, the performance of MEI + IMDI model was optimal, with an AUC of 0.72, sensitivity of 0.71, and specificity of 0.70. The AUC value for the 70 KeV model was higher than those for the 100 KeV, 150 KeV, and MEI models. For T-staging, these models achieved AUC values of 0.83 to 1.00 in training and 0.59 to 0.82 in validation. The validation cohort demonstrated AUCs of 0.82 and 0.70, sensitivities of 0.71 and 0.71, and specificities of 0.80 and 0.60 for the MEI + IMDI and IMDI models, respectively. In terms of grading and T-staging, the MEI + IMDI model had the highest AUC in validation, with IMDI coming in second. There were statistically significant differences between the MEI + IMDI model and the 70 KeV, 100 KeV, 150 KeV, MEI, and VNC models in terms of grading (P < .05) and staging (P ≤ .001). DCA showed that both MEI + IDMI and IDMI models outperformed other models in predicting grade and stage of ccRCC. CONCLUSIONS DECT radiomics models were helpful in grading and T-staging of ccRCC. The combined model of MEI + IMDI achieved favorable results.
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Affiliation(s)
- Ning Wang
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, Shandong Province, P. R. China
| | - Xue Bing
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, Shandong Province, P. R. China
| | - Yuhan Li
- Department of Radiology, Longkou Traditional Chinese Medicine Hospital, Yantai 265700, Shandong Province, P. R. China
| | - Jian Yao
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, Shandong Province, P. R. China
| | - Zhengjun Dai
- Scientific Research Department, Huiying Medical Technology Co., Ltd, Beijing 100192, P. R. China
| | - Dexin Yu
- Department of Radiology, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, P. R. China
| | - Aimei Ouyang
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, Shandong Province, P. R. China
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Reizine E, Blain M, Pescatori L, Longère B, Ingels A, Boughamni W, Bouanane M, Mulé S, Luciani A. Applicability of Bosniak 2019 for renal mass classification on portal venous phase at the era of spectral CT imaging using rapid kV-switching dual-energy CT. Eur Radiol 2024; 34:1816-1824. [PMID: 37667141 DOI: 10.1007/s00330-023-10145-w] [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: 05/30/2023] [Revised: 05/30/2023] [Accepted: 07/10/2023] [Indexed: 09/06/2023]
Abstract
OBJECTIVES To evaluate the applicability of Bosniak 2019 criteria on a monophasic portal venous phase using rapid kilovoltage-switching DECT (rsDECT). MATERIALS AND METHODS One hundred twenty-seven renal masses assessed on rsDECT were included, classified according to Bosniak 2019 classification using MRI as the reference standard. Using the portal venous phase, virtual monochromatic images at 40, 50, and 77 keV; virtual unenhanced (VUE) images; and iodine map images were reconstructed. Changes in attenuation values between VUE and 40 keV, 50 keV, and 77 keV measurements were computed and respectively defined as ∆HU40keV, ∆HU50keV, and ∆HU77keV. The values of ∆HU40keV, ∆HU50keV, and ∆HU77keV thresholds providing the optimal diagnostic performance for the detection of internal enhancement were determined using Youden index. RESULTS Population study included 25 solid renal masses (25/127, 20%) and 102 cystic renal masses (102/127, 80%). To differentiate solid to cystic masses, the specificity of the predefined 20 HU threshold reached 88% (95%CI: 82, 93) using ∆HU77keV and 21% (95%CI: 15, 28) using ∆HU40keV. The estimated optimal threshold of attenuation change was 19 HU on ∆HU77keV, 69 HU on ∆HU50eV, and 111 HU on ∆HU40eV. The rsDECT classification was highly similar to that of MRI for solid renal masses (23/25, 92%) and for Bosniak 1 masses (62/66, 94%). However, 2 hyperattenuating Bosniak 2 renal masses (2/26, 8%) were classified as solid renal masses on rsDECT. CONCLUSION DECT is a promising tool for Bosniak classification particularly to differentiate solid from Bosniak I-II cyst. However, known enhancement thresholds must be adapted especially to the energy level of virtual monochromatic reconstructions. CLINICAL STATEMENT DECT is a promising tool for Bosniak classification; however, known enhancement thresholds must be adapted according to the types of reconstructions used and especially to the energy level of virtual monochromatic reconstructions. KEY POINTS • To differentiate solid to cystic renal masses, predefined 20 HU threshold had a poor specificity using 40 keV virtual monochromatic images. • Most of Bosniak 1 masses according to MRI were also classified as Bosniak 1 on rapid kV-switching dual-energy CT (rsDECT). • Bosniak 2 hyperattenuating renal cysts mimicked solid lesion on rsDECT.
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Affiliation(s)
- Edouard Reizine
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France.
- Faculté de Médecine, Université Paris Est Creteil, 94010, Creteil, France.
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France.
- Imagerie Médicale, CHU Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Créteil, France.
| | - Maxime Blain
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- Faculté de Médecine, Université Paris Est Creteil, 94010, Creteil, France
| | - Lorenzo Pescatori
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
| | - Benjamin Longère
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- University Lille, U1011 - European Genomic Institute for Diabetes, 59000, Lille, France
- INSERM U1011, 59000, Lille, France
- Department of Cardiovascular Radiology, CHU Lille, 59000, Lille, France
- Institut Pasteur Lille, 59000, Lille, France
| | | | - Wafa Boughamni
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
| | - Mohamed Bouanane
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
| | - Sébastien Mulé
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- Faculté de Médecine, Université Paris Est Creteil, 94010, Creteil, France
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France
| | - Alain Luciani
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- Faculté de Médecine, Université Paris Est Creteil, 94010, Creteil, France
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France
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Dane B, Freedman D, Qian K, Ginocchio L, Smereka P, Megibow A. Photon-counting CT urogram: optimal acquisition potential (kV) determination for virtual noncontrast creation. Abdom Radiol (NY) 2024; 49:868-874. [PMID: 38006415 DOI: 10.1007/s00261-023-04113-7] [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: 09/08/2023] [Revised: 10/18/2023] [Accepted: 10/23/2023] [Indexed: 11/27/2023]
Abstract
PURPOSE To quantitatively and qualitatively compare the degree of iodine removal in the collecting system from PCCT urographic phase-derived virtual noncontrast (VNC) images obtained at 140 kV versus 120 kV. METHODS A retrospective PACS search identified adult patients (>18 years) who underwent a PCCT urogram for hematuria from 4/2022 to 4/2023 with available urographic phase-derived VNC images in PACS. Tube voltage (120 kV, 140 kV), body mass index, CTDIvol, dose length product (DLP), and size-specific dose estimate (SSDE) were recorded. Hounsfield Unit (HU) in both renal pelvises and the urinary bladder on urographic-derived VNC were recorded. Three radiologists qualitatively assessed the degree of iodine removal (renal pelvis, urinary bladder) and diagnostic confidence for urinary stone detection. Continuous variables were compared for 140 kV versus 120 kV with the Wilcoxon rank sum test. A p < .05 indicated statistical significance. RESULTS 63 patients (34 male; median (Q1, Q3) age: 30 (26, 34) years; 140 kV/120 kV: 30 patients/33 patients) were included. BMI, CTDIvol, DLP, and SSDE were not different for 140 kV and 120 kV (all p > .05). Median (Q1, Q3) collecting system HU (renal pelvis and bladder) was 0.9 (- 3.6, 4.4) HU at 140 kV and 10.5 (3.6, 26.7) HU at 120 kV (p = .04). Diagnostic confidence for urinary calculi was 4.6 [1.1] at 140 kV and 4.1 [1.4] at 120 kV (p = .005). Diagnostic confidence was 5/5 (all readers) in 82.2% (74/90) at 140 kV and 59.6% (59/99) at 120 kV (p < .001). CONCLUSION PCCT urographic phase-derived VNC images obtained at 140 kV had better collecting system iodine removal than 120 kV with similar patient radiation exposure. With excellent PCCT urographic phase iodine removal at 140 kV, consideration can be made to utilize a single-phase CT urogram in young patients.
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Affiliation(s)
- Bari Dane
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016, USA.
| | - Daniel Freedman
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016, USA
| | - Kun Qian
- Department of Biostatistics, NYU Langone Health, 180 Madison Avenue, New York, NY, 10016, USA
| | - Luke Ginocchio
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016, USA
| | - Paul Smereka
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016, USA
| | - Alec Megibow
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016, USA
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Rafiee MJ, Bandegi P, Taylor JL. Extensive myocardial calcifications in a dialysis patient: A porcelain heart manifesting with abdominal pain. Radiol Case Rep 2024; 19:523-530. [PMID: 38044898 PMCID: PMC10686893 DOI: 10.1016/j.radcr.2023.10.081] [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: 09/24/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 12/05/2023] Open
Abstract
This case report describes a 41-year-old male patient with chronic kidney disease on peritoneal dialysis presenting with upper abdominal pain and mild thigh numbness. CT chest demonstrated extensive myocardial calcifications and left atrial thrombus. This case emphasizes the clinical relevance of myocardial calcifications, especially in patients with end-stage renal disease. It also highlights the potential association between these calcifications and complications such as atrial fibrillation and thromboembolic events. The findings emphasize the need for diagnostic vigilance and an improved understanding of the pathophysiology of myocardial calcifications in the context of renal disease.
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Affiliation(s)
- Moezedin Javad Rafiee
- Department of Diagnostic Radiology, McGill University Health Centre, 1001 Blvd Decarie, Montreal, Québec, H4A3J1 Canada
- Research Institute, McGill University Health Centre, 1001 Blvd Decarie, Montreal, Québec, H4A3J1 Canada
| | - Pouya Bandegi
- Department of Diagnostic Radiology, McGill University Health Centre, 1001 Blvd Decarie, Montreal, Québec, H4A3J1 Canada
| | - Jana Lyn Taylor
- Research Institute, McGill University Health Centre, 1001 Blvd Decarie, Montreal, Québec, H4A3J1 Canada
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Selles M, van Osch JAC, Maas M, Boomsma MF, Wellenberg RHH. Advances in metal artifact reduction in CT images: A review of traditional and novel metal artifact reduction techniques. Eur J Radiol 2024; 170:111276. [PMID: 38142571 DOI: 10.1016/j.ejrad.2023.111276] [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: 11/02/2023] [Revised: 12/14/2023] [Accepted: 12/18/2023] [Indexed: 12/26/2023]
Abstract
Metal artifacts degrade CT image quality, hampering clinical assessment. Numerous metal artifact reduction methods are available to improve the image quality of CT images with metal implants. In this review, an overview of traditional methods is provided including the modification of acquisition and reconstruction parameters, projection-based metal artifact reduction techniques (MAR), dual energy CT (DECT) and the combination of these techniques. Furthermore, the additional value and challenges of novel metal artifact reduction techniques that have been introduced over the past years are discussed such as photon counting CT (PCCT) and deep learning based metal artifact reduction techniques.
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Affiliation(s)
- Mark Selles
- Department of Radiology, Isala, 8025 AB Zwolle, the Netherlands; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, 1105 AZ Amsterdam, the Netherlands; Amsterdam Movement Sciences, 1081 BT Amsterdam, the Netherlands.
| | | | - Mario Maas
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, 1105 AZ Amsterdam, the Netherlands; Amsterdam Movement Sciences, 1081 BT Amsterdam, the Netherlands
| | | | - Ruud H H Wellenberg
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, 1105 AZ Amsterdam, the Netherlands; Amsterdam Movement Sciences, 1081 BT Amsterdam, the Netherlands
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21
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Xu JJ, Ulriksen PS, Jawad S, Rohde YZ, Sejer M, Achiam MP, Resch TA, Lönn L, Hansen KL. Iodine density mapping for the diagnosis of acute bowel ischemia using fast kV-switching dual-energy CT. Abdom Radiol (NY) 2024; 49:312-319. [PMID: 37978076 PMCID: PMC10789852 DOI: 10.1007/s00261-023-04097-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 10/11/2023] [Accepted: 10/18/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE To evaluate the diagnostic capabilities of a supplementary color ramped iodine density map compared to virtual monoenergetic images (VMIs) at 74 keV in the diagnosis of acute bowel ischemia (ABI). METHODS Data for this study were prospectively gathered and retrospectively evaluated. Patients referred to the Department of Diagnostic Radiology between October 2020 and August 2022 on the suspicion of ABI and underwent surgery < 12 h following fast kV-switching venous phase abdominal dual-energy CT (DECT) were consecutively included. Images were evaluated by two board-certified radiologists and two radiology residents. First round included only 74 keV VMIs resembling conventional 120 kVp images, and the second round included a supplementary iodine density map. Readers were asked to register presence of ABI as well as their confidence in their diagnosis based on a 5-point Likert scale. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each observer with the surgical findings as the gold-standard. McNemar's and Wilcoxon signed-rank test were used to compare registrations and diagnostic confidence across assessment rounds. RESULTS A total of 29 patients resulting in 31 DECT scans were included. Fourteen cases of ischemic/necrotic bowel were reported following surgery. Sensitivity and NPV were decreased with the use of supplementary iodine map images compared to 120 kVp-like images without supplementary iodine map images for three of four observers (round 1 range: 71.4-92.9% and 78.0-94.8%; round 2 range: 57.1-78.6% and 70.1-83.3%, respectively), while specificity and PPV were increased for three of four observers (round 1 range: 64.7-94.1% and 67.4-93.1%; round 2 range: 88.2-94.1% and 73.8-91.1%, respectively). However, no significant difference in ABI diagnosis or diagnostic confidence was found (p-value range: 0.07-1.00 and 0.23-0.58, respectively). CONCLUSION No significant difference for the diagnosis of ABI was found using supplementary iodine mapping. Our study may suggest a trend of increased specificity and decreased sensitivity, hence, the use of supplementary iodine mapping should be carefully considered.
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Affiliation(s)
- Jack Junchi Xu
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark.
- Department of Clinical Medicine, University of Copenhagen, 2100, Copenhagen, Denmark.
| | - Peter Sommer Ulriksen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, 2100, Copenhagen, Denmark
| | - Samir Jawad
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Yecatarina Zincuk Rohde
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Morten Sejer
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Michael Patrick Achiam
- Department of Clinical Medicine, University of Copenhagen, 2100, Copenhagen, Denmark
- Department of Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Timothy Andrew Resch
- Department of Clinical Medicine, University of Copenhagen, 2100, Copenhagen, Denmark
- Department of Vascular Surgery, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Lars Lönn
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, 2100, Copenhagen, Denmark
| | - Kristoffer Lindskov Hansen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, 2100, Copenhagen, Denmark
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Luo H, Zou L, Yang Q, Yuan C, Ma K, Yang S, Luo D, Liu C, Liu Z. Spectral CT assists differentiation of osteoblastic bone metastasis from bone island in newly diagnosed cancer patients. Eur Radiol 2024; 34:60-68. [PMID: 37566265 DOI: 10.1007/s00330-023-10036-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/06/2023] [Accepted: 06/17/2023] [Indexed: 08/12/2023]
Abstract
OBJECTIVES To investigate measurements derived from plain and enhanced spectral CT in differentiating osteoblastic bone metastasis (OBM) from bone island (BI). MATERIALS AND METHODS From January to November 2020, 73 newly diagnosed cancer patients with 201 bone lesions (OBM = 92, BI = 109) having received spectral CT were retrospectively enrolled. Measurements including CT values of 40-140 keV, slope of the spectral curve, effective atomic number (Zeff), water (calcium) density, calcium (water) density, and Iodine (calcium) density were derived from manually segmented lesions on plain and enhanced spectral CT, and then analyzed using Student t-test and Pearson's correlation. Multivariate analysis was performed to build models (plain spectral model, enhanced spectral CT model, and combined model) for the discrimination of OBM and BI with performance evaluated using receiver operator characteristics curve and DeLong test. RESULTS All features were significantly different between the BI group and OBM group (all p < 0.05), highly correlated with the corresponding features between plain and enhanced spectral CT both in OBM (r: 0.392-0.763) and BI (r: 0.430-0.544). As for the model performance, the combined model achieved the best performance (AUC = 0.925, 95% CI: 0.879 to 0.957), which significantly outperformed the plain spectral CT model (AUC = 0.815, 95% CI: 0.754 to 0.866, p < 0.001) and enhanced spectral CT model (AUC = 0.901, 95% CI: 0.852 to 0.939, p = 0.024) in differentiating OBM and BI. CONCLUSION In addition to plain spectral CT measurements, enhanced spectral CT measurements would further significantly benefit the differential diagnosis. CLINICAL RELEVANCE STATEMENT Measurements derived either from plain or enhanced spectral CT could provide additional valuable information to improve the differential diagnosis between OBM and BI in newly diagnosed cancer patients. KEY POINTS • We intend to investigate plain and enhanced spectral CT measurements in differentiating OBM from BI. • Both plain and enhanced spectral CT help in discriminating OBM and BI in newly diagnosed cancer patients. • Enhanced spectral CT measurements further improve plain spectral CT measurements-based differential diagnosis.
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Affiliation(s)
- Honghong Luo
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Liyan Zou
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Qian Yang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Cuiyun Yuan
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Kun Ma
- CT Imaging Research Center, GE Healthcare, Beijing, China
| | - Shangpo Yang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Dehong Luo
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Chenbin Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
| | - Zhou Liu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
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Afifah M, Bulthuis MC, Goudschaal KN, Verbeek-Spijkerman JM, Rosario TS, den Boer D, Hinnen KA, Bel A, van Kesteren Z. Virtual unenhanced dual-energy computed tomography for photon radiotherapy: The effect on dose distribution and cone-beam computed tomography based position verification. Phys Imaging Radiat Oncol 2024; 29:100545. [PMID: 38369991 PMCID: PMC10869258 DOI: 10.1016/j.phro.2024.100545] [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: 09/07/2023] [Revised: 01/24/2024] [Accepted: 01/29/2024] [Indexed: 02/20/2024] Open
Abstract
Background and Purpose Virtual Unenhanced images (VUE) from contrast-enhanced dual-energy computed tomography (DECT) eliminate manual suppression of contrast-enhanced structures (CES) or pre-contrast scans. CT intensity decreases in high-density structures outside the CES following VUE algorithm application. This study assesses VUE's impact on the radiotherapy workflow of gynecological tumors, comparing dose distribution and cone-beam CT-based (CBCT) position verification to contrast-enhanced CT (CECT) images. Materials and Methods A total of 14 gynecological patients with contrast-enhanced CT simulation were included. Two CT images were reconstructed: CECT and VUE. Volumetric Modulated Arc Therapy (VMAT) plans generated on CECT were recalculated on VUE using both the CECT lookup table (LUT) and a dedicated VUE LUT. Gamma analysis assessed 3D dose distributions. CECT and VUE images were retrospectively registered to daily CBCT using Chamfer matching algorithm.. Results Planning target volume (PTV) dose agreement with CECT was within 0.35% for D2%, Dmean, and D98%. Organs at risk (OARs) D2% agreed within 0.36%. A dedicated VUE LUT lead to smaller dose differences, achieving a 100% gamma pass rate for all subjects. VUE imaging showed similar translations and rotations to CECT, with significant but minor translation differences (<0.02 cm). VUE-based registration outperformed CECT. In 24% of CBCT-CECT registrations, inadequate registration was observed due to contrast-related issues, while corresponding VUE images achieved clinically acceptable registrations. Conclusions VUE imaging in the radiotherapy workflow is feasible, showing comparable dose distributions and improved CBCT registration results compared to CECT. VUE enables automated bone registration, limiting inter-observer variation in the Image-Guided Radiation Therapy (IGRT) process.
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Affiliation(s)
- Maryam Afifah
- Amsterdam UMC, Location Vrije Universiteit, Department of Radiation Oncology, De Boelelaan 1118, Amsterdam, the Netherlands
| | - Marloes C. Bulthuis
- Amsterdam UMC, Location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
| | - Karin N. Goudschaal
- Amsterdam UMC, Location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
| | - Jolanda M. Verbeek-Spijkerman
- Amsterdam UMC, Location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
| | - Tezontl S. Rosario
- Amsterdam UMC, Location Vrije Universiteit, Department of Radiation Oncology, De Boelelaan 1118, Amsterdam, the Netherlands
| | - Duncan den Boer
- Amsterdam UMC, Location Vrije Universiteit, Department of Radiation Oncology, De Boelelaan 1118, Amsterdam, the Netherlands
| | - Karel A. Hinnen
- Amsterdam UMC, Location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
| | - Arjan Bel
- Amsterdam UMC, Location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
| | - Zdenko van Kesteren
- Amsterdam UMC, Location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
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Zhan Y, Wang P, Wang Y, Wang Y, Tang Z. Reply to the Letter to the Editor referring to "Dual-energy CT for the detection of skull base invasion in nasopharyngeal carcinoma: comparison of simulated single-energy CT and MRI". Insights Imaging 2023; 14:219. [PMID: 38105345 PMCID: PMC10725858 DOI: 10.1186/s13244-023-01534-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 12/19/2023] Open
Affiliation(s)
- Yang Zhan
- Shanghai Institute of Medical Imaging, Fudan University, Shanghai, 200032, China
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, 83 Fenyang Road, Shanghai, 200031, China
| | - Peng Wang
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, 83 Fenyang Road, Shanghai, 200031, China
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, 214122, China
| | - Yuzhe Wang
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, 83 Fenyang Road, Shanghai, 200031, China
| | - Yin Wang
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, 83 Fenyang Road, Shanghai, 200031, China
| | - Zuohua Tang
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, 83 Fenyang Road, Shanghai, 200031, China.
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Hiyama T, Kuno H. Letter to Editor "Dual-energy CT for the detection of skull base invasion in nasopharyngeal carcinoma: comparison of simulated single-energy CT and MRI". Insights Imaging 2023; 14:218. [PMID: 38105394 PMCID: PMC10725856 DOI: 10.1186/s13244-023-01510-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 06/13/2023] [Indexed: 12/19/2023] Open
Affiliation(s)
- Takashi Hiyama
- Department of Diagnostic Radiology, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
| | - Hirofumi Kuno
- Department of Diagnostic Radiology, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
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Srinivas-Rao S, Cao J, Marin D, Kambadakone A. Dual-Energy Computed Tomography to Photon Counting Computed Tomography: Emerging Technological Innovations. Radiol Clin North Am 2023; 61:933-944. [PMID: 37758361 DOI: 10.1016/j.rcl.2023.06.015] [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] [Indexed: 10/03/2023]
Abstract
Computed tomography (CT) has seen remarkable developments in the past several decades, radically transforming the role of imaging in day-to-day clinical practice. Dual-energy CT (DECT), an exciting innovation introduced in the early part of this century, has widened the scope of CT, opening new opportunities due to its ability to provide superior tissue characterization. The introduction of photon-counting CT (PCCT) heralds a paradigm shift in CT scanner technology representing another significant milestone in CT innovation. PCCT offers several advantages over DECT, such as improved spectral resolution, enhanced tissue characterization, reduced image artifacts, and improved image quality.
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Affiliation(s)
- Shravya Srinivas-Rao
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA 02114-2696, USA
| | - Jinjin Cao
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA 02114-2696, USA
| | - Daniele Marin
- Department of Radiology, Duke University Medical Center, Box 3808 Erwin Road, Durham, NC 27710, USA
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA 02114-2696, USA.
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Jensen CT, Wong VK, Wagner-Bartak NA, Liu X, Padmanabhan Nair Sobha R, Sun J, Likhari GS, Gupta S. Accuracy of liver metastasis detection and characterization: Dual-energy CT versus single-energy CT with deep learning reconstruction. Eur J Radiol 2023; 168:111121. [PMID: 37806195 DOI: 10.1016/j.ejrad.2023.111121] [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: 07/20/2023] [Revised: 09/08/2023] [Accepted: 09/27/2023] [Indexed: 10/10/2023]
Abstract
PURPOSE To assess whether image quality differences between SECT (single-energy CT) and DECT (dual-energy CT 70 keV) with equivalent radiation doses result in altered detection and characterization accuracy of liver metastases when using deep learning image reconstruction (DLIR), and whether DECT spectral curve usage improves accuracy of indeterminate lesion characterization. METHODS In this prospective Health Insurance Portability and Accountability Act-compliant study (March through August 2022), adult men and non-pregnant adult women with biopsy-proven colorectal cancer and liver metastases underwent SECT (120 kVp) and a DECT (70 keV) portovenous abdominal CT scan using DLIR in the same breath-hold (Revolution CT ES; GE Healthcare). Participants were excluded if consent could not be obtained, if there were nonequivalent radiation doses between the two scans, or if the examination was cancelled/rescheduled. Three radiologists independently performed lesion detection and characterization during two separate sessions (SECT DLIRmedium and DECT DLIRhigh) as well as reported lesion confidence and overall image quality. Hounsfield units were measured. Spectral HU curves were provided for any lesions rated as indeterminate. McNemar's test was used to test the marginal homogeneity in terms of diagnostic sensitivity, accuracy and lesion detection. A generalized estimating equation method was used for categorical outcomes. RESULTS 30 participants (mean age, 58 years ± 11, 21 men) were evaluated. Mean CTDIvol was 34 mGy for both scans. 141 lesions (124 metastases, 17 benign) with a mean size of 0.8 cm ± 0.3 cm were identified. High scores for image quality (scores of 4 or 5) were not significantly different between DECT (N = 71 out of 90 total scores from the three readers) and SECT (N = 62) (OR, 2.01; 95% CI:0.89, 4.57; P = 0.093). Equivalent image noise to SECT DLIRmed (HU SD 10 ± 2) was obtained with DECT DLIRhigh (HU SD 10 ± 3) (P = 1). There was no significant difference in lesion detection between DECT and SECT (140/141 lesions) (99.3%; 95% CI:96.1%, 100%).The mean lesion confidence scores by each reader were 4.2 ± 1.3, 3.9 ± 1.0, and 4.8 ± 0.8 for SECT and 4.1 ± 1.4, 4.0 ± 1.0, and 4.7 ± 0.8 for DECT (odds ratio [OR], 0.83; 95% CI: 0.62, 1.11; P = 0.21). Small lesion (≤5mm) characterization accuracy on SECT and DECT was 89.1% (95% CI:76.4%, 96.4%; 41/46) and 84.8% (71.1%, 93.7%; 39/46), respectively (P = 0.41). Use of spectral HU lesion curves resulted in 34 correct changes in characterizations and no mischaracterizations. CONCLUSION DECT required a higher strength of DLIR to obtain equivalent noise compared to SECT DLIR. At equivalent radiation doses and image noise, there was no significant difference in subjective image quality or observer lesion performance between DECT (70 keV) and SECT. However, DECT spectral HU curves of indeterminate lesions improved characterization.
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Affiliation(s)
- Corey T Jensen
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, USA.
| | - Vincenzo K Wong
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, USA
| | - Nicolaus A Wagner-Bartak
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, USA
| | - Xinming Liu
- Department of Physics, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, USA
| | - Renjith Padmanabhan Nair Sobha
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, USA
| | - Jia Sun
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, USA
| | - Gauruv S Likhari
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, USA
| | - Shiva Gupta
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, USA
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Rajiah PS, Kambadakone A, Ananthakrishnan L, Sutphin P, Kalva SP. Vascular Applications of Dual-Energy Computed Tomography. Radiol Clin North Am 2023; 61:1011-1029. [PMID: 37758354 DOI: 10.1016/j.rcl.2023.05.005] [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] [Indexed: 10/03/2023]
Abstract
Dual- or multi-energy CT imaging provides several advantages over conventional CT in the context of vascular imaging. Specific advantages include the use of low-energy virtual monoenergetic images (VMIs) to boost iodine attenuation to salvage suboptimal enhanced studies, perform low-contrast material dose studies, and increase conspicuity of small vessels and lesions. Alternatively, high-energy VMIs reduce artifacts caused by some metals, endoprosthesis, calcium blooming, and beam hardening. Virtual non-contrast (VNC) images reduce radiation dose by eliminating the need for a true non-contrast acquisition in multiphasic CT studies. Iodine maps can be used to evaluate perfusion of tissues and lesions.
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Affiliation(s)
- Prabhakar S Rajiah
- Department of Radiology, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA.
| | | | | | - Patrick Sutphin
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Sanjeeva P Kalva
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
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Daniel S, Kopp M, Vollbrecht T, Zeilinger M, Fitz T, Muttke A, Feuerlein U, Uder M, May MS. Personalization of thoracoabdominal CT examinations using scanner integrated clinical decision support systems - Impact on the acquisition technique, scan range, and reconstruction type. Eur J Radiol 2023; 167:111078. [PMID: 37688917 DOI: 10.1016/j.ejrad.2023.111078] [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: 05/07/2023] [Revised: 08/10/2023] [Accepted: 08/30/2023] [Indexed: 09/11/2023]
Abstract
OBJECTIVES This study evaluates the impact of a scanner-integrated, customized clinical decision support system (CDSS) on the acquisition technique, scan range, and reconstruction in thoracoabdominal CT. MATERIALS AND METHODS We applied CDSS in contrast-enhanced examinations of the trunk with various clinical indications on a recent scanner with the capability of dual-energy CT (DECT), anatomic landmark detection (ALD), and iterative metal-artifact reduction (MAR). Simple and comprehensive questions about the patient's breath hold capability, the anatomical region of interest, and metal implants can be answered after the localizer. The acquisition technique (single energy, SECT, or dual energy), scan range (chest-abdomen-pelvis or chest-abdomen), and reconstruction technique (with or without MAR) were then automatically adapted in the examination protocols in coherence with these selections. Retrospectively, we compared the usage rates for these techniques in 624 examinations on the study scanner with 740 examinations on a comparable scanner without CDSS. Subgroup analysis of effective dose (ED), scan duration, and image quality (IQ) was performed in the study group. RESULTS CDSS leads to an increased usage rate of DECT (64.4% vs. 2.8%) and MAR (75.4% vs. 44.0%). All scan range adaptations by ALD were successful. The resulting subjective IQ between single energy and DECT acquisitions was comparable (all p > 0.05). Scan duration was significantly longer in DECT than in SECT (16.9 s vs. 6.5 s; p < 0.001). However, the objective IQ was significantly higher in DECT (CNRD 2.1 vs. 1.8; p < 0.01), and the ED significantly lower (6.7 mSv vs. 7.6 mSv; p = 0.004). CONCLUSION CDSS for thoracoabdominal CT leads to a substantially increased usage rate of innovative techniques during acquisition and reconstruction. Patients with adapted protocols benefit from improved image quality and increased post-processing options at lower radiation doses.
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Affiliation(s)
- Sascha Daniel
- Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.
| | - Markus Kopp
- Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany
| | - Thomas Vollbrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Martin Zeilinger
- Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany
| | - Tim Fitz
- Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany
| | | | | | - Michael Uder
- Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany; Imaging Science Institute, University Hospital Erlangen, Erlangen, Germany
| | - Matthias S May
- Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany; Imaging Science Institute, University Hospital Erlangen, Erlangen, Germany
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Cano Alonso R, Álvarez Vázquez A, Andreu Vázquez C, Thuissard Vasallo IJ, Fernández Alfonso A, Recio Rodríguez M, Martínez de Vega V. Dual-energy CT in the differentiation between adrenal adenomas and metastases: Usefulness of material density maps and monochromatic images. RADIOLOGIA 2023; 65:402-413. [PMID: 37758331 DOI: 10.1016/j.rxeng.2021.10.006] [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: 07/24/2021] [Accepted: 10/15/2021] [Indexed: 10/03/2023]
Abstract
OBJECTIVE To evaluate the behavior of adrenal adenomas and metastases with dual-energy CT, analyzing the attenuation coefficient in monochromatic images at three different levels of energy (45, 70, and 140 keV) and the tissue concentrations of fat, water, and iodine in material density maps, with the aim of establishing optimal cutoffs for differentiating between these lesions and comparing our results against published evidence. MATERIALS AND METHODS This retrospective case-control study included oncologic patients diagnosed with adrenal metastases in the 6-12 months prior to the study who were followed up in our hospital between January and June 2020. For each case (patient with metastases) included in the study, we selected a control (patient with an adrenal adenoma) with a nodule of similar size. All patients were studied with a rapid-kilovoltage-switching dual-energy CT scanner, using a biphasic acquisition protocol. We analyzed the concentration of iodine in paired water-iodine images, the concentration of fat in the paired water-fat images, and the concentration of water in the paired iodine-water and fat-water images, in both the arterial and portal phases. We also analyzed the attenuation coefficient in monochromatic images (at 55, 70, and 140 keV) in the arterial and portal phases. RESULTS In the monochromatic images, in both the arterial and portal phases, the attenuation coefficient at all energy levels was significantly higher in the group of patients with metastases than in the group of patients with adenomas. This enabled us to calculate the optimal cutoffs for classifying lesions as adenomas or metastases, except for the arterial phase at 55 KeV, where the area under the receiver operating characteristic curve (AUC) for the estimated threshold (0.68) was not considered accurate enough to classify the lesions. For the arterial phase at 70 keV, the AUC was 0.76 (95% CI: 0.663‒0.899); the optimal cutoff (42.4 HU) yielded 92% sensitivity and 60% specificity. For the arterial phase at 140 keV, the AUC was 0.94 (95% CI: 0.894‒0.999); the optimal cutoff (18.9 HU) yielded 88% sensitivity and 94% specificity). For the portal phase at 55 keV, the AUC was 0.76 (95% CI: 0.663‒0.899); the optimal cutoff (95.4 HU) yielded 68% sensitivity and 84% specificity. For the portal phase at 70 keV, the AUC was 0.82 (95% CI: 0.757‒0.955); the optimal cutoff (58.4 HU) yielded 80% sensitivity and 84% specificity. For the portal phase at 140 keV, the AUC was 0.9 (95% CI: 0.834‒0.987); the optimal cutoff (16.35 HU) yielded 96% sensitivity and 84% specificity. In the material density maps, in the arterial phase, significant differences were found only for the iodine-water pair, where the concentration of water was higher in the group with metastases (1018.8 ± 7.6 mg/cm3 vs. 998.6 ± 8.0 mg/cm3 for the group with adenomas, p < 0.001). The AUC was 0.97 (95% CI: 0.893‒0.999); the optimal cutoff (1012.5 mg/cm3) yielded 88% sensitivity and 96% specificity. The iodine-water pair was also significantly higher in metastases (1019.7 ± 12.1 mg/cm3 vs. 998.5 ± 9.1 mg/cm3 in adenomas, p < 0.001). The AUC was 0.926 (95% CI: 0.807‒0.977); the optimal cutoff (1009.5 mg/cm3) yielded 92% sensitivity and 92% specificity. Although significant results were also observed for the fat-water pair in the portal phase, the AUC was insufficient to enable a sufficiently accurate cutoff for classifying the lesions. No significant differences were found in the fat-water maps or iodine-water maps in the arterial or portal phase or in the water-fat map in the arterial phase. CONCLUSIONS Monochromatic images show differences between the behavior of adrenal adenomas and metastases in oncologic patients studied with intravenous-contrast-enhanced CT, where the group of metastases had higher attenuation than the group of adenomas in both the arterial and portal phases; this pattern is in line with the evidence published for adenomas. Nevertheless, to our knowledge, no other publications report cutoffs for this kind of differentiation in contrast-enhanced monochromatic images obtained in rapid-kilovoltage-switching dual-energy CT scanners, and this is the first new contribution of our study. Regarding the material density maps, our results suggest that the water-iodine pair is a good tool for differentiating between adrenal adenomas and metastases, in both the arterial and portal phases. We propose cutoffs for differentiating these lesions, although to our knowledge no cutoffs have been proposed for portal-phase contrast-enhanced images obtained with rapid-kilovoltage-switching dual-energy CT scanners.
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Affiliation(s)
- R Cano Alonso
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain.
| | - A Álvarez Vázquez
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain
| | - C Andreu Vázquez
- Universidad Europea de Madrid, Facultad de Ciencias Biomédicas y de la Salud, Villaviciosa de Odón, Madrid, Spain
| | - I J Thuissard Vasallo
- Universidad Europea de Madrid, Facultad de Ciencias Biomédicas y de la Salud, Villaviciosa de Odón, Madrid, Spain
| | - A Fernández Alfonso
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain
| | - M Recio Rodríguez
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain
| | - V Martínez de Vega
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain
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Bird E, Hasenstab K, Kim N, Madani M, Malhotra A, Hahn L, Kligerman S, Hsiao A, Contijoch F. Mapping the Spatial Extent of Hypoperfusion in Chronic Thromboembolic Pulmonary Hypertension Using Multienergy CT. Radiol Cardiothorac Imaging 2023; 5:e220221. [PMID: 37693197 PMCID: PMC10483250 DOI: 10.1148/ryct.220221] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 06/05/2023] [Accepted: 07/03/2023] [Indexed: 09/12/2023]
Abstract
Purpose To assess if a novel automated method to spatially delineate and quantify the extent of hypoperfusion on multienergy CT angiograms can aid the evaluation of chronic thromboembolic pulmonary hypertension (CTEPH) disease severity. Materials and Methods Multienergy CT angiograms obtained between January 2018 and December 2020 in 51 patients with CTEPH (mean age, 47 years ± 17 [SD]; 27 women) were retrospectively compared with those in 110 controls with no imaging findings suggestive of pulmonary vascular abnormalities (mean age, 51 years ± 16; 81 women). Parenchymal iodine values were automatically isolated using deep learning lobar lung segmentations. Low iodine concentration was used to delineate areas of hypoperfusion and calculate hypoperfused lung volume (HLV). Receiver operating characteristic curves, correlations with preoperative and postoperative changes in invasive hemodynamics, and comparison with visual assessment of lobar hypoperfusion by two expert readers were evaluated. Results Global HLV correctly separated patients with CTEPH from controls (area under the receiver operating characteristic curve = 0.84; 10% HLV cutoff: 90% sensitivity, 72% accuracy, and 64% specificity) and correlated moderately with hemodynamic severity at time of imaging (pulmonary vascular resistance [PVR], ρ = 0.67; P < .001) and change after surgical treatment (∆PVR, ρ = -0.61; P < .001). In patients surgically classified as having segmental disease, global HLV correlated with preoperative PVR (ρ = 0.81) and postoperative ∆PVR (ρ = -0.70). Lobar HLV correlated moderately with expert reader lobar assessment (ρHLV = 0.71 for reader 1; ρHLV = 0.67 for reader 2). Conclusion Automated quantification of hypoperfused areas in patients with CTEPH can be performed from clinical multienergy CT examinations and may aid clinical evaluation, particularly in patients with segmental-level disease.Keywords: CT-Spectral Imaging (Multienergy), Pulmonary, Pulmonary Arteries, Embolism/Thrombosis, Chronic Thromboembolic Pulmonary Hypertension, Multienergy CT, Hypoperfusion© RSNA, 2023.
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Affiliation(s)
- Elizabeth Bird
- From the Department of Bioengineering (E.B., A.H., F.C.), Department
of Radiology (K.H., L.H., S.K., A.H., F.C.), Department of Medicine, Division of
Pulmonary, Critical Care, and Sleep Medicine (N.K., A.M.), and Department of
Surgery (M.M.), University of California San Diego, 9500 Gilman Dr, MC 0412, La
Jolla, CA 92093
| | - Kyle Hasenstab
- From the Department of Bioengineering (E.B., A.H., F.C.), Department
of Radiology (K.H., L.H., S.K., A.H., F.C.), Department of Medicine, Division of
Pulmonary, Critical Care, and Sleep Medicine (N.K., A.M.), and Department of
Surgery (M.M.), University of California San Diego, 9500 Gilman Dr, MC 0412, La
Jolla, CA 92093
| | - Nick Kim
- From the Department of Bioengineering (E.B., A.H., F.C.), Department
of Radiology (K.H., L.H., S.K., A.H., F.C.), Department of Medicine, Division of
Pulmonary, Critical Care, and Sleep Medicine (N.K., A.M.), and Department of
Surgery (M.M.), University of California San Diego, 9500 Gilman Dr, MC 0412, La
Jolla, CA 92093
| | - Michael Madani
- From the Department of Bioengineering (E.B., A.H., F.C.), Department
of Radiology (K.H., L.H., S.K., A.H., F.C.), Department of Medicine, Division of
Pulmonary, Critical Care, and Sleep Medicine (N.K., A.M.), and Department of
Surgery (M.M.), University of California San Diego, 9500 Gilman Dr, MC 0412, La
Jolla, CA 92093
| | - Atul Malhotra
- From the Department of Bioengineering (E.B., A.H., F.C.), Department
of Radiology (K.H., L.H., S.K., A.H., F.C.), Department of Medicine, Division of
Pulmonary, Critical Care, and Sleep Medicine (N.K., A.M.), and Department of
Surgery (M.M.), University of California San Diego, 9500 Gilman Dr, MC 0412, La
Jolla, CA 92093
| | - Lewis Hahn
- From the Department of Bioengineering (E.B., A.H., F.C.), Department
of Radiology (K.H., L.H., S.K., A.H., F.C.), Department of Medicine, Division of
Pulmonary, Critical Care, and Sleep Medicine (N.K., A.M.), and Department of
Surgery (M.M.), University of California San Diego, 9500 Gilman Dr, MC 0412, La
Jolla, CA 92093
| | - Seth Kligerman
- From the Department of Bioengineering (E.B., A.H., F.C.), Department
of Radiology (K.H., L.H., S.K., A.H., F.C.), Department of Medicine, Division of
Pulmonary, Critical Care, and Sleep Medicine (N.K., A.M.), and Department of
Surgery (M.M.), University of California San Diego, 9500 Gilman Dr, MC 0412, La
Jolla, CA 92093
| | - Albert Hsiao
- From the Department of Bioengineering (E.B., A.H., F.C.), Department
of Radiology (K.H., L.H., S.K., A.H., F.C.), Department of Medicine, Division of
Pulmonary, Critical Care, and Sleep Medicine (N.K., A.M.), and Department of
Surgery (M.M.), University of California San Diego, 9500 Gilman Dr, MC 0412, La
Jolla, CA 92093
| | - Francisco Contijoch
- From the Department of Bioengineering (E.B., A.H., F.C.), Department
of Radiology (K.H., L.H., S.K., A.H., F.C.), Department of Medicine, Division of
Pulmonary, Critical Care, and Sleep Medicine (N.K., A.M.), and Department of
Surgery (M.M.), University of California San Diego, 9500 Gilman Dr, MC 0412, La
Jolla, CA 92093
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Perrella A, Bagnacci G, Di Meglio N, Di Martino V, Mazzei MA. Thoracic Diseases: Technique and Applications of Dual-Energy CT. Diagnostics (Basel) 2023; 13:2440. [PMID: 37510184 PMCID: PMC10378112 DOI: 10.3390/diagnostics13142440] [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: 05/31/2023] [Revised: 07/06/2023] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
Dual-energy computed tomography (DECT) is one of the most promising technological innovations made in the field of imaging in recent years. Thanks to its ability to provide quantitative and reproducible data, and to improve radiologists' confidence, especially in the less experienced, its applications are increasing in number and variety. In thoracic diseases, DECT is able to provide well-known benefits, although many recent articles have sought to investigate new perspectives. This narrative review aims to provide the reader with an overview of the applications and advantages of DECT in thoracic diseases, focusing on the most recent innovations. The research process was conducted on the databases of Pubmed and Cochrane. The article is organized according to the anatomical district: the review will focus on pleural, lung parenchymal, breast, mediastinal, lymph nodes, vascular and skeletal applications of DECT. In conclusion, considering the new potential applications and the evidence reported in the latest papers, DECT is progressively entering the daily practice of radiologists, and by reading this simple narrative review, every radiologist will know the state of the art of DECT in thoracic diseases.
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Affiliation(s)
- Armando Perrella
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
| | - Giulio Bagnacci
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
| | - Nunzia Di Meglio
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
| | - Vito Di Martino
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
| | - Maria Antonietta Mazzei
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
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Ozawa Y, Ohno Y, Nagata H, Tamokami K, Nishikimi K, Oshima Y, Hamabuchi N, Matsuyama T, Ueda T, Toyama H. Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging. Diagnostics (Basel) 2023; 13:2295. [PMID: 37443688 DOI: 10.3390/diagnostics13132295] [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: 05/31/2023] [Revised: 07/01/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
Dual-energy computed tomography (DECT) can improve the differentiation of material by using two different X-ray energy spectra, and may provide new imaging techniques to diagnostic radiology to overcome the limitations of conventional CT in characterizing tissue. Some techniques have used dual-energy imaging, which mainly includes dual-sourced, rapid kVp switching, dual-layer detectors, and split-filter imaging. In iodine images, images of the lung's perfused blood volume (PBV) based on DECT have been applied in patients with pulmonary embolism to obtain both images of the PE occluding the pulmonary artery and the consequent perfusion defects in the lung's parenchyma. PBV images of the lung also have the potential to indicate the severity of PE, including chronic thromboembolic pulmonary hypertension. Virtual monochromatic imaging can improve the accuracy of diagnosing pulmonary vascular diseases by optimizing kiloelectronvolt settings for various purposes. Iodine images also could provide a new approach in the area of thoracic oncology, for example, for the characterization of pulmonary nodules and mediastinal lymph nodes. DECT-based lung ventilation imaging is also available with noble gases with high atomic numbers, such as xenon, which is similar to iodine. A ventilation map of the lung can be used to image various pulmonary diseases such as chronic obstructive pulmonary disease.
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Affiliation(s)
- Yoshiyuki Ozawa
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Yoshiharu Ohno
- Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Hiroyuki Nagata
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Keigo Tamokami
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Keitaro Nishikimi
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Yuka Oshima
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Nayu Hamabuchi
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Takahiro Matsuyama
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Takahiro Ueda
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Hiroshi Toyama
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
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Dunning CAS, Rajendran K, Inoue A, Rajiah P, Weber N, Fletcher JG, McCollough CH, Leng S. Optimal Virtual Monoenergetic Photon Energy (keV) for Photon-Counting-Detector Computed Tomography Angiography. J Comput Assist Tomogr 2023; 47:569-575. [PMID: 36790898 PMCID: PMC10349687 DOI: 10.1097/rct.0000000000001450] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
OBJECTIVE This study aimed to determine the optimal photon energy for virtual monoenergetic images (VMI) in computed tomography angiography (CTA) using photon-counting-detector (PCD) CT. METHODS Under institutional review board approval, 10 patients (abdominal, n = 4; lower extremity, n = 3; head and neck, n = 3) were scanned on an investigational PCD-CT (Count Plus, Siemens Healthcare) at 120 or 140 kV. All images were iteratively reconstructed with Bv48 kernel and 2-mm slice thickness. Axial and coronal VMI maximum-intensity projections were created in the range 40 to 65 keV (5-keV steps). Contrast-to-noise ratio (CNR) was calculated for major arteries in each VMI series. Two radiologists blindly ranked each VMI series for overall image quality and visualization of small vessels and pathology. The median and SD of scores for each photon energy were calculated. In addition, readers identified any VMIs that distinguished itself from others in terms of vessel/pathology visualization or artifacts. RESULTS Mean iodine CNR was highest in 40-keV VMIs for all evaluated arteries. Across readers, the 50-keV VMI had the highest combined score (2.00 ± 1.11). Among different body parts, the 45-keV VMI was ranked highest for the head-and-neck (1.75 ± 0.68) and lower extremity (2.00 ± 1.41) CTA. Meanwhile, 50- and 55-keV VMIs were ranked highest for abdominal (2.50 ± 1.35 and 2.50 ± 1.56) CTA. The 40-keV VMI received the highest score for iodine visualization in vessels, and the 65-keV VMI for reduced metal/calcium-blooming artifacts. CONCLUSIONS Quantitatively, VMIs at 40 keV had the highest CNR in major arterial vasculature using PCD-CTA. Based on radiologists' preference, the 45- and 50-keV VMIs were optimal for small body parts (eg, head and neck and lower extremity) and large body parts (eg, abdomen), respectively.
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Affiliation(s)
| | | | | | | | | | | | | | - Shuai Leng
- Department of Radiology, Mayo Clinic, Rochester, MN
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Alizadeh LS, Vogl TJ, Waldeck SS, Overhoff D, D'Angelo T, Martin SS, Yel I, Gruenewald LD, Koch V, Fulisch F, Booz C. Dual-Energy CT in Cardiothoracic Imaging: Current Developments. Diagnostics (Basel) 2023; 13:2116. [PMID: 37371011 DOI: 10.3390/diagnostics13122116] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/31/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
This article describes the technical principles and clinical applications of dual-energy computed tomography (DECT) in the context of cardiothoracic imaging with a focus on current developments and techniques. Since the introduction of DECT, different vendors developed distinct hard and software approaches for generating multi-energy datasets and multiple DECT applications that were developed and clinically investigated for different fields of interest. Benefits for various clinical settings, such as oncology, trauma and emergency radiology, as well as musculoskeletal and cardiovascular imaging, were recently reported in the literature. State-of-the-art applications, such as virtual monoenergetic imaging (VMI), material decomposition, perfused blood volume imaging, virtual non-contrast imaging (VNC), plaque removal, and virtual non-calcium (VNCa) imaging, can significantly improve cardiothoracic CT image workflows and have a high potential for improvement of diagnostic accuracy and patient safety.
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Affiliation(s)
- Leona S Alizadeh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Department of Diagnostic and Interventional Radiology, Bundeswehrzentralkrankenhaus Koblenz, 56072 Koblenz, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Stephan S Waldeck
- Department of Diagnostic and Interventional Radiology, Bundeswehrzentralkrankenhaus Koblenz, 56072 Koblenz, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Mainz, 55131 Mainz, Germany
| | - Daniel Overhoff
- Department of Diagnostic and Interventional Radiology, Bundeswehrzentralkrankenhaus Koblenz, 56072 Koblenz, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Mannheim, 68167 Mannheim, Germany
| | - Tommaso D'Angelo
- Diagnostic and Interventional Radiology Unit, Department of Biomedical Sciences and Morphological and Functional Imaging, "G. Martino" University Hospital Messina, 98124 Messina, Italy
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Florian Fulisch
- Department of Diagnostic and Interventional Radiology, Bundeswehrzentralkrankenhaus Koblenz, 56072 Koblenz, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
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Dane B, Gupta A, Wells ML, Anderson MA, Fidler JL, Naringrekar HV, Allen BC, Brook OR, Bruining DH, Gee MS, Grand DJ, Kastenberg D, Khandelwal A, Sengupta N, Soto JA, Guglielmo FF. Dual-Energy CT Evaluation of Gastrointestinal Bleeding. Radiographics 2023; 43:e220192. [PMID: 37167088 DOI: 10.1148/rg.220192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Gastrointestinal (GI) bleeding is a potentially life-threatening condition accounting for more than 300 000 annual hospitalizations. Multidetector abdominopelvic CT angiography is commonly used in the evaluation of patients with GI bleeding. Given that many patients with severe overt GI bleeding are unlikely to tolerate bowel preparation, and inpatient colonoscopy is frequently limited by suboptimal preparation obscuring mucosal visibility, CT angiography is recommended as a first-line diagnostic test in patients with severe hematochezia to localize a source of bleeding. Assessment of these patients with conventional single-energy CT systems typically requires the performance of a noncontrast series followed by imaging during multiple postcontrast phases. Dual-energy CT (DECT) offers several potential advantages for performing these examinations. DECT may eliminate the need for a noncontrast acquisition by allowing the creation of virtual noncontrast (VNC) images from contrast-enhanced data, affording significant radiation dose reduction while maintaining diagnostic accuracy. VNC images can help radiologists to differentiate active bleeding, hyperattenuating enteric contents, hematomas, and enhancing masses. Additional postprocessing techniques such as low-kiloelectron voltage virtual monoenergetic images, iodine maps, and iodine overlay images can increase the conspicuity of contrast material extravasation and improve the visibility of subtle causes of GI bleeding, thereby increasing diagnostic confidence and assisting with problem solving. GI bleeding can also be diagnosed with routine single-phase DECT scans by constructing VNC images and iodine maps. Radiologists should also be aware of the potential pitfalls and limitations of DECT. ©RSNA, 2023 Quiz questions for this article are available through the Online Learning Center.
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Affiliation(s)
- Bari Dane
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Avneesh Gupta
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Michael L Wells
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Mark A Anderson
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Jeff L Fidler
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Haresh V Naringrekar
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Brian C Allen
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Olga R Brook
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - David H Bruining
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Michael S Gee
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - David J Grand
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - David Kastenberg
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Ashish Khandelwal
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Neil Sengupta
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Jorge A Soto
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
| | - Flavius F Guglielmo
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, New York, NY 10016 (B.D.); Department of Radiology, Boston University Medical Center, Boston, Mass (A.G., J.A.S.); Department of Radiology (M.L.W., J.L.F., A.K.) and Division of Gastroenterology and Hepatology (D.H.B.), Mayo Clinic, Rochester, Minn; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.A.A., M.S.G.); Department of Radiology (H.V.N., F.F.G.) and Division of Gastroenterology (D.K.), Thomas Jefferson University, Philadelphia, Pa; Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (O.R.B.); Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI (D.J.G.); and Division of Gastroenterology, University of Chicago, Chicago, Ill (N.S.)
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Zhong J, Pan Z, Chen Y, Wang L, Xia Y, Wang L, Li J, Lu W, Shi X, Feng J, Yan F, Zhang H, Yao W. Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability. Insights Imaging 2023; 14:79. [PMID: 37166511 PMCID: PMC10175529 DOI: 10.1186/s13244-023-01426-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 04/05/2023] [Indexed: 05/12/2023] Open
Abstract
OBJECTIVES To evaluate robustness of dual-energy CT (DECT) radiomics features of virtual unenhanced (VUE) image and virtual monoenergetic image (VMI) among different imaging platforms. METHODS A phantom with sixteen clinical-relevant densities was scanned on ten DECT platforms with comparable scan parameters. Ninety-four radiomic features were extracted via Pyradiomics from VUE images and VMIs at energy level of 70 keV (VMI70keV). Test-retest repeatability was assessed by Bland-Altman analysis. Inter-platform reproducibility of VUE images and VMI70keV was evaluated by coefficient of variation (CV) and quartile coefficient of dispersion (QCD) among platforms, and by intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC) between platform pairs. The correlation between variability of CT number radiomics reproducibility was estimated. RESULTS 92.02% and 92.87% of features were repeatable between scan-rescans for VUE images and VMI70keV, respectively. Among platforms, 11.30% and 28.39% features of VUE images, and 15.16% and 28.99% features of VMI70keV were with CV < 10% and QCD < 10%. The average percentages of radiomics features with ICC > 0.90 and CCC > 0.90 between platform pairs were 10.00% and 9.86% in VUE images and 11.23% and 11.23% in VMI70keV. The CT number inter-platform reproducibility using CV and QCD showed negative correlations with percentage of the first-order radiomics features with CV < 10% and QCD < 10%, in both VUE images and VMI70keV (r2 0.3870-0.6178, all p < 0.001). CONCLUSIONS The majority of DECT radiomics features were non-reproducible. The differences in CT number were considered as an indicator of inter-platform DECT radiomics variation. Critical relevance statement: The majority of radiomics features extracted from the VUE images and the VMI70keV were non-reproducible among platforms, while synchronizing energy levels of VMI to reduce the CT number value variability may be a potential way to mitigate radiomics instability.
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Affiliation(s)
- Jingyu Zhong
- Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Zilai Pan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yong Chen
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lingyun Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yihan Xia
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lan Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jianying Li
- Computed Tomography Research Center, GE Healthcare, Beijing, 100176, China
| | - Wei Lu
- Computed Tomography Research Center, GE Healthcare, Shanghai, 201203, China
| | - Xiaomeng Shi
- Department of Materials, Imperial College London, London, SW7 2AZ, UK
| | - Jianxing Feng
- Haohua Technology Co., Ltd., Shanghai, 201100, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Huan Zhang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Weiwu Yao
- Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
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Shirasaka T, Kojima T, Yamane S, Mikayama R, Kawakubo M, Funatsu R, Kato T, Ishigami K, Funama Y. Effect of iodine concentration and body size on iodine subtraction in virtual non-contrast imaging: A phantom study. Radiography (Lond) 2023; 29:557-563. [PMID: 36965243 DOI: 10.1016/j.radi.2023.03.003] [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: 10/23/2022] [Revised: 02/19/2023] [Accepted: 03/05/2023] [Indexed: 03/27/2023]
Abstract
INTRODUCTION Dual-energy computed tomography (DECT) can generate virtual non-contrast (VNC) images. Herein, we sought to improve the accuracy of VNC images by identifying the optimal slope of contrast media (SCM) for VNC-image generation based on the iodine concentration and subject's body size. METHODS We used DECT to scan a multi-energy phantom including four iodine concentration rods (15, 10, 5, and 2 mg/mL), and 240 VNC images (eight SCM ranging from 0.49 to 0.56 × three body sizes × ten scans) that were generated by three-material decomposition. The CT number of each iodine and solid water rod part was measured in each VNC image. The difference in the CT number between the iodine and the solid water rod part was calculated and compared using paired t-test or repeated measures ANOVA. RESULTS The SCM that achieved an absolute value of the difference in CT number of <5.0 Hounsfield units (HU) for all body sizes simultaneously was greater at lower iodine concentration (SCM of 0.5, 0.51, and 0.53 at 10, 5, and 2 mg/mL iodine, respectively). At an iodine concentration of 15 mg/mL, no SCM achieved an absolute difference of <5.0 HU in CT number for all body sizes simultaneously. At all iodine concentrations, the SCM achieving the minimal difference in the CT number increased with the increase in body size. CONCLUSION By adjusting the SCM according to the iodine concentration and body size, it is possible to generate VNC images with an accuracy of <5.0 HU. IMPLICATIONS FOR PRACTICE Improving the accuracy of VNC images minimizing incomplete iodine subtraction would make it possible to replace true non-contrast (TNC) images with VNC images and reduce the radiation dose.
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Affiliation(s)
- T Shirasaka
- Graduate School of Health Sciences, Kumamoto University, 4-24-1 Kuhonji, Kumamoto, 862-0976, Japan; Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi Ward, Fukuoka, 812-8582, Japan.
| | - T Kojima
- Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi Ward, Fukuoka, 812-8582, Japan; Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi Ward, Fukuoka, 812-8582, Japan.
| | - S Yamane
- Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi Ward, Fukuoka, 812-8582, Japan.
| | - R Mikayama
- Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi Ward, Fukuoka, 812-8582, Japan.
| | - M Kawakubo
- Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi Ward, Fukuoka, 812-8582, Japan.
| | - R Funatsu
- Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi Ward, Fukuoka, 812-8582, Japan.
| | - T Kato
- Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi Ward, Fukuoka, 812-8582, Japan.
| | - K Ishigami
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi Ward, Fukuoka, 812-8582, Japan.
| | - Y Funama
- Department of Medical Radiation Sciences, Faculty of Life Sciences, Kumamoto University, 4-24-1 Kuhonji, Kumamoto, 862-0976, Japan.
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Dual Energy-Derived Metrics for Differentiating Adrenal Adenomas From Nonadenomas on Single-Phase Contrast-Enhanced CT. AJR Am J Roentgenol 2023; 220:693-704. [PMID: 36416399 DOI: 10.2214/ajr.22.28323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND. Adrenal masses are often indeterminate on single-phase postcontrast CT. Dual-energy CT (DECT) with three-material decomposition algorithms may aid characterization. OBJECTIVE. The purpose of this study was to compare the diagnostic performance of metrics derived from portal venous phase DECT, including virtual noncontrast (VNC) attenuation, fat fraction, iodine density, and relative enhancement ratio, for characterizing adrenal masses. METHODS. This retrospective study included 128 patients (82 women, 46 men; mean age, 64.6 ± 12.7 [SD] years) who between January 2016 and December 2019 underwent portal venous phase abdominopelvic DECT that showed a total of 139 adrenal lesions with an available reference standard based on all imaging, clinical, and pathologic records (87 adenomas, 52 nonadenomas [48 metastases, two adrenal cortical carcinomas, one ganglioneuroma, one hematoma]). Two radiologists placed ROIs to determine the following characteristics of the masses: VNC attenuation, fat fraction, iodine density normalized to portal vein, and for masses with VNC greater than 10 HU, relative enhancement ratio (ratio of portal venous phase attenuation to VNC attenuation). Readers' mean measurements were used for ROC analyses, and clinically optimal thresholds were derived as thresholds yielding the highest sensitivity at 100% specificity. RESULTS. Adenomas and nonadenomas were significantly different (all p < .001) in VNC attenuation (mean ± SD, 18.5 ± 12.9 vs 34.1 ± 8.9 HU), fat fraction (mean ± SD, 24.3% ± 8.2% vs 14.2% ± 5.6%), normalized iodine density (mean ± SD, 0.34 ± 0.15 vs 0.17 ± 0.17), and relative enhancement ratio (mean ± SD, 186% ± 96% vs 58% ± 59%). AUCs for all metrics ranged from 0.81 through 0.91. The metric with highest sensitivity for adenoma at the clinically optimal threshold (i.e., 100% specificity) was fat fraction (threshold, ≥ 23.8%; sensitivity, 59% [95% CI, 48-69%]) followed by VNC attenuation (≤ 15.2 HU; sensitivity, 39% [95% CI, 29-50%]), relative enhancement ratio (≥ 214%; sensitivity, 37% [95% CI, 25-50%]), and normalized iodine density (≥ 0.90; sensitivity, 1% (95% CI, 0-60%]). VNC attenuation at the traditional true noncontrast attenuation threshold of 10 HU or lower had sensitivity of 28% (95% CI, 19-38%) and 100% specificity. Presence of fat fraction 23.8% or greater or relative enhancement ratio 214% or greater yielded sensitivity of 68% (95% CI, 57-77%) with 100% specificity. CONCLUSION. For adrenal lesions evaluated with single-phase DECT, fat fraction had higher sensitivity than VNC attenuation at both the clinically optimal threshold and the traditional threshold of 10 HU or lower. CLINICAL IMPACT. By helping to definitively diagnose adenomas, DECT-derived metrics can help avoid downstream imaging for incidental adrenal lesions.
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Sartoretti T, Mergen V, Jungblut L, Alkadhi H, Euler A. Liver Iodine Quantification With Photon-Counting Detector CT: Accuracy in an Abdominal Phantom and Feasibility in Patients. Acad Radiol 2023; 30:461-469. [PMID: 35644755 DOI: 10.1016/j.acra.2022.04.021] [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: 03/08/2022] [Revised: 04/12/2022] [Accepted: 04/21/2022] [Indexed: 01/25/2023]
Abstract
RATIONALE AND OBJECTIVES To compare the accuracy of iodine quantification in liver parenchyma and lesions between dual-source photon-counting detector CT (PCD-CT) and dual-source energy-integrating detector CT (EID-CT) in a phantom and to demonstrate the feasibility of iodine quantification with PCD-CT in liver parenchyma and lesions in patients. MATERIALS AND METHODS An anthropomorphic abdominal phantom with a liver insert containing parenchyma and lesions was imaged on a clinical PCD-CT at 120kV and in the dual-energy mode on an EID-CT with kV-combinations of 80/Sn150kV, 90/Sn150kV, and 100/Sn150kV. Three patient sizes were imaged at three different radiation doses (CTDIvol: 5, 10, 15mGy). Thirty patients with liver cysts, hemangiomas or metastases imaged with PCD-CT were retrospectively included. Iodine maps were reconstructed and iodine concentrations were measured in liver parenchyma and lesions. For the phantom, iodine error was quantified as the absolute difference to the vendor's specifications as reference. RESULTS Overall iodine error was 0.33 ± 0.29, 0.34 ± 0.32, 0.39 ± 0.37, 0.35 ± 0.39 mgI/mL for 80/Sn150kV, 90/Sn150kV, 100/Sn150kV of EID-CT, and PCD-CT, respectively, without significant differences between PCD-CT and EID-CT (p > 0.05). Radiation dose did not significantly influence error of PCD-CT (p > 0.05) nor EID-CT (p > 0.05). For both scanners, smaller patient sizes were associated with lower errors (p < 0.05). Iodine concentration and base material attenuation significantly influenced quantification for EID-CT (p < 0.05) but not PCD-CT (p > 0.05). In patients, iodine quantification was feasible in liver parenchyma, cysts, hemangiomas, and metastases. CONCLUSION Iodine quantification with PCD-CT is accurate in simulated liver parenchyma and lesions irrespective of radiation dose, iodine concentration, and base attenuation and is feasible in common liver lesions in patients.
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Affiliation(s)
- Thomas Sartoretti
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-809, Zurich, Switzerland
| | - Victor Mergen
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-809, Zurich, Switzerland
| | - Lisa Jungblut
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-809, Zurich, Switzerland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-809, Zurich, Switzerland
| | - André Euler
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-809, Zurich, Switzerland.
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Wang Y, Chen X, Lu G, Su Y, Yang L, Shi G, Zhang F, Zhuo J, Duan X, Hu H. Improving the Visualization of the Adrenal Veins Using Virtual Monoenergetic Images from Dual-Energy Computed Tomography before Adrenal Venous Sampling. Tomography 2023; 9:485-496. [PMID: 36960999 PMCID: PMC10037600 DOI: 10.3390/tomography9020040] [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: 01/06/2023] [Revised: 02/15/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
(1) Background: This study explored the optimal energy level in advanced virtual monoenergetic images (VMI+) from dual-energy computed tomography angiography (DE-CTA) for adrenal veins visualization before adrenal venous sampling (AVS). (2) Methods: Thirty-nine patients were included in this prospective single-center study. The CT value, noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured in both adrenal veins and abdominal solid organs and were then compared between VMI+ within the range of 40-80 kiloelectron volt (keV). The visualization rate of the adrenal veins and the overall image quality of solid organs were subjectively compared among different keV VMI+. The AVS success rate was recorded for 20 patients. (3) Results: For the adrenal veins, 40 keV VMI+ had the peak CT value, noise and CNR (p < 0.05). Subjectively, the visualization rate was the highest at 40 keV (100% for the right adrenal vein, and 97.4% for the left adrenal vein) (p < 0.05). For solid organs, the CT value, noise and CNR at 50 keV were lower than those at 40 keV (p < 0.05), but the SNR was similar between 40 keV and 50 keV. The overall subjective image quality of solid organs at 50 keV was the best (p < 0.05). The AVS success rate was 95%. (4) Conclusions: For VMI+, 40 keV was the preferential energy level to obtain a high visualization rate of the adrenal veins and a high success rate of AVS, while 50 keV was the favorable energy level for the depiction of abdominal organs.
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Affiliation(s)
- Yu Wang
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
| | - Xiaohong Chen
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
| | - Guoxiong Lu
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
| | - Yun Su
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
| | - Lingjie Yang
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
| | - Guangzi Shi
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Fang Zhang
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Jiayi Zhuo
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
| | - Xiaohui Duan
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Huijun Hu
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou 510120, China
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D’Angelo T, Arico FM, Broccio L, Ascenti G, Mazziotti S, Booz C, Martin SS, Yel I, Lanzafame LRM, Blandino A, Sofia C. Multi-Contrast Differentiation by Dual-Energy Spectral CT Angiography in a Patient with Pulmonary Barium Granulomas. Diagnostics (Basel) 2023; 13:diagnostics13050832. [PMID: 36899976 PMCID: PMC10000742 DOI: 10.3390/diagnostics13050832] [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: 12/17/2022] [Revised: 02/10/2023] [Accepted: 02/20/2023] [Indexed: 02/24/2023] Open
Abstract
Barium inhalation usually relates to accidental aspiration during radiological procedures with an oral contrast agent. When present, barium lung deposits are visible as high-density opacities on chest X-ray or CT scan due to high atomic number, and they may be indistinguishable from calcifications. Dual-layer spectral CT has shown good material differentiation capabilities, due to its increased high-Z element range and smaller spectral separation between low- and high-energy spectral data. We present the case of a 17-year-old female with a history of tracheoesophageal fistula, who underwent chest CT angiography on a dual-layer spectral platform. Despite the close Z numbers and K-edge energy levels of the two different contrast materials, spectral CT was able to identify barium lung deposits from a previous swallowing study and to clearly distinguish them from calcium and the surrounding iodine-containing structures.
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Affiliation(s)
- Tommaso D’Angelo
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands
- Correspondence: (T.D.); (F.M.A.)
| | - Francesco M. Arico
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
- Correspondence: (T.D.); (F.M.A.)
| | - Lydia Broccio
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Giorgio Ascenti
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Silvio Mazziotti
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Simon S. Martin
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Ludovica R. M. Lanzafame
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Alfredo Blandino
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Carmelo Sofia
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
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Yu HS, Keraliya A, Chakravarti S, Uyeda JW. Multienergy Computed Tomography Applications. Radiol Clin North Am 2023; 61:23-35. [DOI: 10.1016/j.rcl.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Gao W, Zhang Y, Dou Y, Zhao L, Wu H, Yang Z, Liu A, Zhu L, Hao F. Association between extramural vascular invasion and iodine quantification using dual-energy computed tomography of rectal cancer: a preliminary study. Eur J Radiol 2023; 158:110618. [PMID: 36455337 DOI: 10.1016/j.ejrad.2022.110618] [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: 06/23/2022] [Revised: 11/02/2022] [Accepted: 11/18/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE This study aimed to investigate whether histopathological confirmed extramural vascular invasion (EMVI) is associated with quantitative parameters derived from dual-energy computed tomography (DECT) of rectal cancer. METHODS This retrospective study included patients with rectal cancer who underwent rectal cancer surgery and DECT (including arterial-, venous-, and delay-phase scanning) between November 2019 and November 2020. The EMVI of rectal cancer was confirmed via postoperative pathological results. Iodine concentration (IC), IC normalized to the aorta (NIC), and CT attenuation values of the three phases were measured and compared between patients with and without EMVI. Receiver operating characteristic (ROC) curves were generated to determine the diagnostic performance of these DECT quantitative parameters. RESULTS Herein, 36 patients (22 men and 14 women) with a mean age of 62 [range, 43-77] years) with (n = 13) and without (n = 23) EMVI were included. Patients with EMVI exhibited significantly higher IC in the venous and delay phases (venous-phase: 2.92 ± 0.6 vs 2.34 ± 0.48; delay-phase: 2.46 ± 0.47 vs 1.88 ± 0.35) and NIC in all the three phases (arterial-phase: 0.31 ± 0.12 vs 0.24 ± 0.06; venous-phase: 0.58 ± 0.11 vs 0.41 ± 0.07; delay-phase: 0.68 ± 0.10 vs 0.46 ± 0.08) than patients without EMVI. Among them, the highest area under the ROC curve (AUC) was obtained in the delay-phase NIC (AUC = 0.983). IC in the arterial-phase and CT attenuation in all the three phases did not significantly differ between patients with and without EMVI (p = 0.205-0.869). CONCLUSION Iodine quantification using dual-energy CT, especially the NIC of the tumor, differs between the EMVI-positive and EMVI-negative groups and seems to help predict the EMVI of rectal cancer in this preliminary study; however, a larger sample size study is warranted in the future.
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Affiliation(s)
- Wei Gao
- Department of Radiology, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010050, China
| | - Yuqi Zhang
- Graduate School of the First Clinical Medical College, Inner Mongolia Medical University, Huhhot, Inner Mongolia 010050, China
| | - Yana Dou
- Siemens Healthineers, Wangjing Zhonghuan South Road, Chaoyang District, Beijing 1000102, China
| | - Lei Zhao
- Department of Radiology, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010050, China
| | - Hui Wu
- Department of Radiology, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010050, China
| | - Zhenxing Yang
- Department of Radiology, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010050, China
| | - Aishi Liu
- Department of Radiology, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010050, China
| | - Lu Zhu
- Department of Radiology, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010050, China
| | - Fene Hao
- Department of Radiology, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010050, China.
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Choi H, Ryu J, Lee S, Kim YJ, Bang S. [Detection of Monosodium Urate Crystal of Hand and Wrist in Suspected Gouty Arthritis Patients on Dual-Energy CT and Relationship with Serum Urate Level]. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2023; 84:212-225. [PMID: 36818719 PMCID: PMC9935968 DOI: 10.3348/jksr.2021.0003n] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 04/24/2022] [Accepted: 05/17/2022] [Indexed: 02/10/2023]
Abstract
Purpose We retrospectively investigated the characteristics of patients with monosodium urate (MSU) deposits of the hand and wrist on dual-energy CT (DECT) compared to those without. We also attempted to determine the pattern of MSU distribution in DECT. Materials and Methods In total, 93 patients were included who had undergone DECT for evaluation of the hand or wrist pain under the clinical impression of gouty arthritis. The total volume of MSU deposits on DECT was calculated and the pattern of MSU distribution on DECT was analyzed. Also, the level of the serum urate at the time of DECT and the highest level of the serum urate of the patients were obtained from their records and the relationship between MSU and serum urate level was evaluated. Results The range of the volume of MSU deposits on DECT was 0.01-16.11 cm3 (average: 1.07 cm3). The average level of serum urate was significantly higher in the MSU positive group than that in the MSU negative group. MSU deposits were most frequently observed in the wrists followed by fingers and digitorum tendons. Conclusion On DECT, MSU deposits were most frequently detected in the wrist and related with high serum urate level.
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Affiliation(s)
- Hana Choi
- Department of Radiology, Hanyang University School of Medicine, Guri Hospital, Guri, Korea
| | - Jeongah Ryu
- Department of Radiology, Hanyang University School of Medicine, Guri Hospital, Guri, Korea
| | - Seunghun Lee
- Department of Radiology, Hanyang University School of Medicine, Seoul Hospital, Seoul, Korea
| | - Yeo Ju Kim
- Department of Radiology, Hanyang University School of Medicine, Seoul Hospital, Seoul, Korea
| | - Soyoung Bang
- Department of Rheumatology, Hanyang University School of Medicine, Guri Hospital, Guri, Korea
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Neuroendocrine neoplasm imaging: protocols by site of origin. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:4081-4095. [PMID: 36307597 DOI: 10.1007/s00261-022-03713-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/09/2022] [Accepted: 10/11/2022] [Indexed: 01/18/2023]
Abstract
With the relatively low incidence of neuroendocrine neoplasms (NEN), most radiologists are not familiar with their optimal imaging techniques. The imaging protocols for NENs should be tailored to the site of origin to accurately define local extension of NEN at time of staging. Patterns of spread and recurrence should be taken into consideration when choosing protocols for detection of recurrence and metastases. This paper will present the recommended CT and MRI imaging protocols for gastro-enteric and pancreatic NENs based on site of origin or predominant pattern of metastatic disease, and explain the rationale for MRI contrast type, contrast timing, as well as specific sequences in MRI. We will also briefly comment on PET/CT and PET/MRI imaging protocols.
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47
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Gong H, Baffour F, Glazebrook KN, Rhodes NG, Tiegs-Heiden CA, Thorne JE, Cook JM, Kumar S, Fletcher JG, McCollough CH, Leng S. Deep learning-based virtual noncalcium imaging in multiple myeloma using dual-energy CT. Med Phys 2022; 49:6346-6358. [PMID: 35983992 PMCID: PMC9588661 DOI: 10.1002/mp.15934] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 07/27/2022] [Accepted: 08/04/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Dual-energy CT with virtual noncalcium (VNCa) images allows the evaluation of focal intramedullary bone marrow involvement in patients with multiple myeloma. However, current commercial VNCa techniques suffer from excessive image noise and artifacts due to material decomposition used in synthesizing VNCa images. OBJECTIVES In this work, we aim to improve VNCa image quality for the assessment of focal multiple myeloma, using an Artificial intelligence based Generalizable Algorithm for mulTi-Energy CT (AGATE) method. MATERIALS AND METHODS AGATE method used a custom dual-task convolutional neural network (CNN) that concurrently carries out material classification and quantification. The material classification task provided an auxiliary regularization to the material quantification task. CNN parameters were optimized using custom loss functions that involved cross-entropy, physics-informed constraints, structural redundancy in spectral and material images, and texture information in spectral images. For training data, CT phantoms (diameters 30 to 45 cm) with tissue-mimicking inserts were scanned on a third generation dual-source CT system. Scans were performed at routine dose and half of the routine dose. Small image patches (i.e., 40 × 40 pixels) of tissue-mimicking inserts with known basis material densities were extracted for training samples. Numerically simulated insert materials with various shapes increased diversity of training samples. Generalizability of AGATE was evaluated using CT images from phantoms and patients. In phantoms, material decomposition accuracy was estimated using mean-absolute-percent-error (MAPE), using physical inserts that were not used during the training. Noise power spectrum (NPS) and modulation transfer function (MTF) were compared across phantom sizes and radiation dose levels. Five patients with multiple myeloma underwent dual-energy CT, with VNCa images generated using a commercial method and AGATE. Two fellowship-trained musculoskeletal radiologists reviewed the VNCa images (commercial and AGATE) side-by-side using a dual-monitor display, blinded to VNCa type, rating the image quality for focal multiple myeloma lesion visualization using a 5-level Likert comparison scale (-2 = worse visualization and diagnostic confidence, -1 = worse visualization but equivalent diagnostic confidence, 0 = equivalent visualization and diagnostic confidence, 1 = improved visualization but equivalent diagnostic confidence, 2 = improved visualization and diagnostic confidence). A post hoc assignment of comparison ratings was performed to rank AGATE images in comparison to commercial ones. RESULTS AGATE demonstrated consistent material quantification accuracy across phantom sizes and radiation dose levels, with MAPE ranging from 0.7% to 4.4% across all testing materials. Compared to commercial VNCa images, the AGATE-synthesized VNCa images yielded considerably lower image noise (50-77% noise reduction) without compromising noise texture or spatial resolution across different phantom sizes and two radiation doses. AGATE VNCa images had markedly reduced area under NPS curves and maintained NPS peak frequency (0.7 lp/cm to 1.0 lp/cm), with similar MTF curves (50% MTF at 3.0 lp/cm). In patients, AGATE demonstrated reduced image noise and artifacts with improved delineation of focal multiple myeloma lesions (all readers comparison scores indicating improved overall diagnostic image quality [scores 1 or 2]). CONCLUSIONS AGATE demonstrated reduced noise and artifacts in VNCa images and ability to improve visualization of bone marrow lesions for assessing multiple myeloma.
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Affiliation(s)
- Hao Gong
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | | | - Joselle M. Cook
- Department of Medicine, Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Shaji Kumar
- Department of Medicine, Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Shuai Leng
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
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Singh R, Rai R, Mroueh N, Kambadakone A. Role of Dual Energy Computed Tomography in Inflammatory Bowel Disease. Semin Ultrasound CT MR 2022; 43:320-332. [PMID: 35738817 DOI: 10.1053/j.sult.2022.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Dual-energy computed tomography (DECT), which allows material-based differential X-ray absorption behavior from near simultaneously acquired low- and high-kilovolt datasets is finding increasing applications in the evaluation of bowel diseases. In patients with inflammatory bowel disease, DECT techniques permit both qualitative and quantitative assessment. Particularly in patients with Crohn's disease, monoenergetic and iodine specific images have been explored. This article focuses on the principles and applications of DECT in inflammatory bowel disease along with review of its limitations and challenges.
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Affiliation(s)
- Ramandeep Singh
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Rubal Rai
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Nayla Mroueh
- Department of Radiology, Massachusetts General Hospital, Boston, MA
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49
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Farag A, Fielding J, Catanzano T. Role of Dual-energy Computed Tomography in Diagnosis of Acute Pulmonary Emboli, a Review. Semin Ultrasound CT MR 2022; 43:333-343. [PMID: 35738818 DOI: 10.1053/j.sult.2022.04.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Prompt diagnosis of pulmonary embolism is essential to avert morbidity and mortality. There are a number of diagnostic options for identification of a pulmonary embolism, including laboratory and imaging investigations. While computed tomography pulmonary angiography (CTPA) has largely supplanted nuclear medicine ventilation/perfusion studies, there remain significant limitations in the optimal performance of CTPA. Dual-energy computed tomography has the ability to overcome many of the limitations of standard of care CTPA, including rescue of poor contrast boluses and the ability to evaluate pulmonary perfusion defects.
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Affiliation(s)
- Ahmed Farag
- Department of Radiology, UMass Chan Medical School-Baystate, Springfield, MA
| | - Jordan Fielding
- Department of Radiology, UMass Chan Medical School-Baystate, Springfield, MA
| | - Tara Catanzano
- Department of Radiology, UMass Chan Medical School-Baystate, Springfield, MA.
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50
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Santos Armentia E, Martín Noguerol T, Silva Priegue N, Delgado Sánchez-Gracián C, Trinidad López C, Prada González R. Strengths, weaknesses, opportunities, and threat analysis of dual-energy CT in head and neck imaging. RADIOLOGIA 2022; 64:333-347. [DOI: 10.1016/j.rxeng.2022.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 05/19/2022] [Indexed: 11/29/2022]
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