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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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Miranda J, Key Wakate Teruya A, Leão Filho H, Lahan-Martins D, Tamura Sttefano Guimarães C, de Paula Reis Guimarães V, Ide Yamauchi F, Blasbalg R, Velloni FG. Diffuse and focal liver fat: advanced imaging techniques and diagnostic insights. Abdom Radiol (NY) 2024:10.1007/s00261-024-04407-4. [PMID: 38896247 DOI: 10.1007/s00261-024-04407-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024]
Abstract
The fatty liver disease represents a complex, multifaceted challenge, requiring a multidisciplinary approach for effective management and research. This article uses conventional and advanced imaging techniques to explore the etiology, imaging patterns, and quantification methods of hepatic steatosis. Particular emphasis is placed on the challenges and advancements in the imaging diagnostics of fatty liver disease. Techniques such as ultrasound, CT, MRI, and elastography are indispensable for providing deep insights into the liver's fat content. These modalities not only distinguish between diffuse and focal steatosis but also help identify accompanying conditions, such as inflammation and fibrosis, which are critical for accurate diagnosis and management.
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Affiliation(s)
- Joao Miranda
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
- Department of Radiology, University of São Paulo, R. Dr. Ovídio Pires de Campos, 75-Cerqueira César, São Paulo, SP, 05403-010, Brazil.
| | - Alexandre Key Wakate Teruya
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Hilton Leão Filho
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Daniel Lahan-Martins
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
- Departament of Radiology-FCM, State University of Campinas (UNICAMP), R. Tessália Vieira de Camargo, 126 Cidade Universitária, Campinas, SP, 13083-887, Brazil
| | - Cássia Tamura Sttefano Guimarães
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Vivianne de Paula Reis Guimarães
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Fernando Ide Yamauchi
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Roberto Blasbalg
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Fernanda Garozzo Velloni
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
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Demondion E, Ernst O, Louvet A, Robert B, Kafri G, Langzam E, Vermersch M. Hepatic fat quantification in dual-layer computed tomography using a three-material decomposition algorithm. Eur Radiol 2024; 34:3708-3718. [PMID: 37955671 DOI: 10.1007/s00330-023-10382-z] [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: 03/02/2023] [Revised: 08/30/2023] [Accepted: 09/07/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVES The purpose of this study was to evaluate a three-material decomposition algorithm for hepatic fat quantification using a dual-layer computed tomography (DL-CT) and MRI as reference standard on a large patient cohort. METHOD A total of 104 patients were retrospectively included in our study, i.e., each patient had an MRI exam and a DL-CT exam in our institution within a maximum of 31 days. Four regions of interest (ROIs) were positioned blindly and similarly in the liver, by two independent readers on DL-CT and MRI images. For DL-CT exams, all imaging phases were included. Fat fraction agreement between CT and MRI was performed using intraclass correlation coefficients (ICC), determination coefficients R2, and Bland-Altman plots. Diagnostic performance was determined using sensitivity, specificity, and positive and negative predictive values. The cutoff for steatosis was 5%. RESULTS Correlation between MRI and CT data was excellent for all perfusion phases with ICC calculated at 0.99 for each phase. Determination coefficients R2 were also good for all perfusion phases (about 0.95 for all phases). Performance of DL-CT in the diagnosis of hepatic steatosis was good with sensitivity between 89 and 91% and specificity ranging from 75 to 80%, depending on the perfusion phase. The positive predictive value was ranging from 78 to 93% and the negative predictive value from 82 to 86%. CONCLUSION Multi-material decomposition in DL-CT allows quantification of hepatic fat fraction with a good correlation to MRI data. CLINICAL RELEVANCE STATEMENT The use of DL-CT allows for detection of hepatic steatosis. This is especially interesting as an opportunistic finding CT performed for other reasons, as early detection can help prevent or slowdown the development of liver metabolic disease. KEY POINTS • Hepatic fat fractions provided by the dual-layer CT algorithm is strongly correlated with that measured on MRI. • Dual-layer CT is accurate to detect hepatic steatosis ≥ 5%. • Dual-layer CT allows opportunistic detection of steatosis, on CT scan performed for various indications.
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Affiliation(s)
- Emilie Demondion
- Medical Imaging Department, Lille University Hospital, 2 Avenue Oscar-Lambret, Lille, France.
| | - Olivier Ernst
- Medical Imaging Department, Lille University Hospital, 2 Avenue Oscar-Lambret, Lille, France
| | - Alexandre Louvet
- Department of Gastroenterology and Hepatology, Lille University Hospital, 2 Avenue Oscar-Lambret, Lille, France
| | | | - Galit Kafri
- CT Clinical Science, Philips Healthcare, Haifa, Israel
| | - Eran Langzam
- CT Clinical Science, Philips Healthcare, Haifa, Israel
| | - Mathilde Vermersch
- Medical Imaging Department, Lille University Hospital, 2 Avenue Oscar-Lambret, Lille, France
- Medical Imaging Department, Valenciennes Hospital Center, 114 Avenue Desandrouin, Valenciennes, France
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4
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Nakashima H, Mochizuki J, Sasaki F, Itaya S, Fukushima Y, Iida T, Sakurai Y. Fatty-marrow transformation following radiotherapy for pancreatic cancer detected using dual-energy computed tomography: A case report. Radiol Case Rep 2024; 19:1697-1701. [PMID: 38384701 PMCID: PMC10877132 DOI: 10.1016/j.radcr.2024.01.085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 02/23/2024] Open
Abstract
Bone damage, a late side effect of radiotherapy, occurs concurrently with the replacement of fat cells in the bone marrow, causing changes in bone composition. Changes in composition can affect bone quality and disease states, and reduced bone mass can reduce quality of life by increasing the risk of fractures. A 70-year-old woman presented to the orthopedic outpatient clinic with the chief complaint of lower-back pain. The patient reported no history of trauma but was in great pain and had difficulty walking. Since the patient had a history of pancreatic cancer, tumor-marker testing, bone scintigraphy, and dual-energy computed tomography were performed. Although the tumor-marker levels were normal, dual-energy computed tomography and bone scintigraphy revealed fresh compression fractures of the L1 and L3 vertebrae. In addition, dual-energy computed tomography material-discrimination analysis suggested high fat density in the L2 vertebral body. The patient had received approximately 30 Gy radiation to the L2 vertebral body for her pancreatic cancer, which resulted in fatty myelination in the bone. The diagnosis of fatty myelination is made on T1-weighted magnetic resonance images; however, diagnosis remains challenging because of the difficulty in assessing bone morphology on magnetic resonance images. Moreover, some patients are not candidates for magnetic resonance imaging. Dual-energy computed tomography-based material-discrimination analysis can visually depict changes in the bone marrow, and is a valuable diagnostic tool owing to its simplicity.
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Affiliation(s)
- Hirotaka Nakashima
- Department of Medical Radiation Technology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Junji Mochizuki
- Department of Radiology, Minamino Cardiovascular Hospital, Tokyo, Japan
| | - Fumihiro Sasaki
- Department of Medical Radiation Technology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Syunsuke Itaya
- Department of Medical Radiation Technology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Yuki Fukushima
- Department of Radiation oncology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Takahiro Iida
- Department of Orthopedic, Teine Keijinkai Hospital, Sapporo, Japan
| | - Yasuo Sakurai
- Department of Diagnostic Radiology, Teine Keijinkai Hospital, Sapporo, Japan
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Liu X, He M, Li Y. Adult obesity diagnostic tool: A narrative review. Medicine (Baltimore) 2024; 103:e37946. [PMID: 38669386 PMCID: PMC11049696 DOI: 10.1097/md.0000000000037946] [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: 01/21/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
Obesity is a complex chronic metabolic disorder characterized by abnormalities in lipid metabolism. Obesity is not only associated with various chronic diseases but also has negative effects on physiological functions such as the cardiovascular, endocrine and immune systems. As a global health problem, the incidence and prevalence of obesity have increased significantly in recent years. Therefore, understanding assessment methods and measurement indicators for obesity is critical for early screening and effective disease control. Current methods for measuring obesity in adult include density calculation, anthropometric measurements, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, computerized imaging, etc. Measurement indicators mainly include weight, hip circumference, waist circumference, neck circumference, skinfold thickness, etc. This paper provides a comprehensive review of the literature to date, summarizes and analyzes various assessment methods and measurement indicators for adult obesity, and provides insights and guidance for the innovation of obesity assessment indicators.
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Affiliation(s)
- Xiaolong Liu
- School of Life & Environmental Sciences, Guilin University of Electronic Technology, Guilin, Guangxi, China
- School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, Guangxi, China
- Rehabilitation College, Guilin Life and Health Career Technical College, Guilin, Guangxi, China
| | - Mengxiao He
- School of Physical Education and Health, Guilin University, Guilin, Guangxi, China
| | - Yi Li
- School of Physical Education and Health, Guilin University, Guilin, Guangxi, China
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Wibulpolprasert P, Subpinyo B, Chirnaksorn S, Shantavasinkul PC, Putadechakum S, Phongkitkarun S, Sritara C, Angkathunyakul N, Sumritpradit P. Correlation between magnetic resonance imaging proton density fat fraction (MRI-PDFF) and liver biopsy to assess hepatic steatosis in obesity. Sci Rep 2024; 14:6895. [PMID: 38519637 PMCID: PMC10960039 DOI: 10.1038/s41598-024-57324-3] [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: 11/24/2023] [Accepted: 03/18/2024] [Indexed: 03/25/2024] Open
Abstract
Obesity is highly associated with Non-alcoholic fatty liver disease (NAFLD) and increased risk of liver cirrhosis and liver cancer-related death. We determined the diagnostic performance of the complex-based chemical shift technique MRI-PDFF for quantifying liver fat and its correlation with histopathologic findings in an obese population within 24 h before bariatric surgery. This was a prospective, cross-sectional, Institutional Review Board-approved study of PDFF-MRI of the liver and MRI-DIXON image volume before bariatric surgery. Liver tissues were obtained during bariatric surgery. The prevalence of NAFLD in the investigated cohort was as high as 94%. Histologic hepatic steatosis grades 0, 1, 2, and 3 were observed in 3 (6%), 25 (50%), 14 (28%), and 8 (16%) of 50 obese patients, respectively. The mean percentages of MRI-PDFF from the anterior and posterior right hepatic lobe and left lobe vs. isolate left hepatic lobe were 15.6% (standard deviation [SD], 9.28%) vs. 16.29% (SD, 9.25%). There was a strong correlation between the percentage of steatotic hepatocytes and MRI-PDFF in the left hepatic lobe (r = 0.82, p < 0.001) and the mean value (r = 0.78, p < 0.001). There was a strong correlation between MRI-derived subcutaneous adipose tissue volume and total body fat mass by dual-energy X-ray absorptiometry, especially at the L2-3 and L4 level (r = 0.85, p < 0.001). MRI-PDFF showed good performance in assessing hepatic steatosis and was an excellent noninvasive technique for monitoring hepatic steatosis in an obese population.
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Affiliation(s)
- Pornphan Wibulpolprasert
- Department of Diagnostic and Therapeutic Radiology, Mahidol University, Bangkok, 10400, Thailand
| | - Benya Subpinyo
- Department of Diagnostic and Therapeutic Radiology, Mahidol University, Bangkok, 10400, Thailand
| | | | | | | | - Sith Phongkitkarun
- Department of Diagnostic and Therapeutic Radiology, Mahidol University, Bangkok, 10400, Thailand
| | - Chanika Sritara
- Department of Diagnostic and Therapeutic Radiology, Mahidol University, Bangkok, 10400, Thailand
| | | | - Preeda Sumritpradit
- Department of Surgery, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand.
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7
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Franco PN, Spasiano CM, Maino C, De Ponti E, Ragusi M, Giandola T, Terrani S, Peroni M, Corso R, Ippolito D. Principles and Applications of Dual-Layer Spectral CT in Gastrointestinal Imaging. Diagnostics (Basel) 2023; 13:diagnostics13101740. [PMID: 37238224 DOI: 10.3390/diagnostics13101740] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
The advance in technology allows for the development of different CT scanners in the field of dual-energy computed tomography (DECT). In particular, a recently developed detector-based technology can collect data from different energy levels, thanks to its layers. The use of this system is suited for material decomposition with perfect spatial and temporal registration. Thanks to post-processing techniques, these scanners can generate conventional, material decomposition (including virtual non-contrast (VNC), iodine maps, Z-effective imaging, and uric acid pair images) and virtual monoenergetic images (VMIs). In recent years, different studies have been published regarding the use of DECT in clinical practice. On these bases, considering that different papers have been published using the DECT technology, a review regarding its clinical application can be useful. We focused on the usefulness of DECT technology in gastrointestinal imaging, where DECT plays an important role.
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Affiliation(s)
- Paolo Niccolò Franco
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Chiara Maria Spasiano
- Department of Diagnostic Radiology, Istituti Clinici Zucchi, Via Zucchi 24, 20900 Monza, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Elena De Ponti
- Department of Medical Physics, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Maria Ragusi
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Teresa Giandola
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | | | - Marta Peroni
- Philips Healtcare, Viale Sarca 54, 20126 Milano, Italy
| | - Rocco Corso
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
- School of Medicine, Università Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20100 Milano, Italy
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8
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Borges AP, Antunes C, Caseiro-Alves F. Spectral CT: Current Liver Applications. Diagnostics (Basel) 2023; 13:diagnostics13101673. [PMID: 37238163 DOI: 10.3390/diagnostics13101673] [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: 03/26/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023] Open
Abstract
Using two different energy levels, dual-energy computed tomography (DECT) allows for material differentiation, improves image quality and iodine conspicuity, and allows researchers the opportunity to determine iodine contrast and radiation dose reduction. Several commercialized platforms with different acquisition techniques are constantly being improved. Furthermore, DECT clinical applications and advantages are continually being reported in a wide range of diseases. We aimed to review the current applications of and challenges in using DECT in the treatment of liver diseases. The greater contrast provided by low-energy reconstructed images and the capability of iodine quantification have been mostly valuable for lesion detection and characterization, accurate staging, treatment response assessment, and thrombi characterization. Material decomposition techniques allow for the non-invasive quantification of fat/iron deposition and fibrosis. Reduced image quality with larger body sizes, cross-vendor and scanner variability, and long reconstruction time are among the limitations of DECT. Promising techniques for improving image quality with lower radiation dose include the deep learning imaging reconstruction method and novel spectral photon-counting computed tomography.
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Affiliation(s)
- Ana P Borges
- Medical Imaging Department, Coimbra University Hospitals, 3004-561 Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal
- Academic and Clinical Centre of Coimbra, 3000-370 Coimbra, Portugal
| | - Célia Antunes
- Medical Imaging Department, Coimbra University Hospitals, 3004-561 Coimbra, Portugal
- Academic and Clinical Centre of Coimbra, 3000-370 Coimbra, Portugal
| | - Filipe Caseiro-Alves
- Medical Imaging Department, Coimbra University Hospitals, 3004-561 Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal
- Academic and Clinical Centre of Coimbra, 3000-370 Coimbra, Portugal
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9
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Xu JJ, Ulriksen PS, Bjerrum CW, Achiam MP, Resch TA, Lönn L, Lindskov Hansen K. Characterizing incidental mass lesions in abdominal dual-energy CT compared to conventional contrast-enhanced CT. Acta Radiol 2023; 64:945-950. [PMID: 35918808 DOI: 10.1177/02841851221116306] [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: 11/15/2022]
Abstract
BACKGROUND Incidental findings are common in abdominal computed tomography (CT) and often warrant further investigations with economic implications as well as implications for patients. PURPOSE To evaluate the potential of dual-energy CT (DECT) in the identification and/or characterization of abdominal incidental mass lesions compared to conventional contrast-enhanced CT. MATERIAL AND METHODS This retrospective study from a major tertiary hospital included 96 patients, who underwent contrast-enhanced abdominal DECT. Incidental lesions in adrenals, kidneys, liver, and pancreas were evaluated by two board-certified abdominal radiologists. Observer 1 only had access to standard CT reconstructions, while observer 2 had access to standard CT as well as DECT reconstructions. Disagreements were resolved by consensus review and used as a reference for observers using McNemar's test. RESULTS Observers 1 and 2 identified a total of 40 and 34 findings, respectively. Furthermore, observer 1 registered 13 lesions requiring follow-up, of which seven (two renal and five adrenal lesions) were resolved following consensus review using DECT (P = 0.008). The inter-observer agreement was near perfect (κ = 0.82). CONCLUSION DECT has the potential to improve the immediate characterization of incidental findings when compared to conventional CT for abdominal imaging.
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Affiliation(s)
- Jack Junchi Xu
- Department of Diagnostic Radiology, Copenhagen University Hospital, 53146Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Peter Sommer Ulriksen
- Department of Diagnostic Radiology, Copenhagen University Hospital, 53146Rigshospitalet, Copenhagen, Denmark
| | - Camilla Wium Bjerrum
- Department of Diagnostic Radiology, Copenhagen University Hospital, 53146Rigshospitalet, Copenhagen, Denmark
| | - Michael Patrick Achiam
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Surgical Gastroenterology, Copenhagen University Hospital, 53146Rigshospitalet, Copenhagen, Denmark
| | - Timothy Andrew Resch
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Vascular Surgery, Copenhagen University Hospital, 53146Rigshospitalet, Copenhagen, Denmark
| | - Lars Lönn
- Department of Diagnostic Radiology, Copenhagen University Hospital, 53146Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Kristoffer Lindskov Hansen
- Department of Diagnostic Radiology, Copenhagen University Hospital, 53146Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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10
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Hong SB, Lee NK, Kim S, Um K, Kim K, Kim IJ. Hepatic Fat Quantification with the Multi-Material Decomposition Algorithm by Using Low-Dose Non-Contrast Material-Enhanced Dual-Energy Computed Tomography in a Prospectively Enrolled Cohort. Medicina (B Aires) 2022; 58:medicina58101459. [PMID: 36295617 PMCID: PMC9609129 DOI: 10.3390/medicina58101459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/09/2022] [Accepted: 10/14/2022] [Indexed: 12/04/2022] Open
Abstract
The early diagnosis of hepatic steatosis is important. No study has assessed hepatic fat quantification by using low-dose dual-energy computed tomography (CT). We assessed the accuracy of hepatic fat quantification using the multi-material decomposition (MMD) algorithm with low-dose non-contrast material-enhanced dual-energy CT. We retrospectively reviewed 33 prospectively enrolled patients who had undergone low-dose non-contrast material-enhanced dual-energy CT and magnetic resonance image (MRI) proton density fat fraction (PDFF) on the same day. Percentage fat volume fraction (FVF) images were generated using the MMD algorithm on the low-dose dual-energy CT data. We assessed the correlation between FVFs and MRI-PDFFs by using Spearman's rank correlation. With a 5% cutoff value of MRI-PDFF for fatty liver, a receiver operating characteristic (ROC) curve analysis was performed to identify the optimal criteria of FVF for diagnosing fatty liver. CTDIvol of CT was 2.94 mGy. FVF showed a strong correlation with MRI-PDFF (r = 0.756). The ROC curve analysis demonstrated that FVF ≥ 4.61% was the optimal cutoff for fatty liver. With this cutoff value for diagnosing the fatty liver on low-dose dual-energy CT, the sensitivity, specificity, and area under the curve were 90%, 100%, and 0.987, respectively. The MMD algorithm using low-dose non-contrast material-enhanced dual-energy CT is feasible for quantifying hepatic fat.
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Affiliation(s)
- Seung Baek Hong
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Pusan 46241, Korea
| | - Nam Kyung Lee
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Pusan 46241, Korea
- Correspondence: (N.K.L.); (K.K.)
| | - Suk Kim
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Pusan 46241, Korea
| | - Kyunga Um
- General Electronics (GE) Healthcare Korea, Seoul 04637, Korea
| | - Keunyoung Kim
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Pusan 46241, Korea
- Correspondence: (N.K.L.); (K.K.)
| | - In Joo Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Biomedical Research Institute, Pusan National University Hospital, Pusan 46241, Korea
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