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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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2
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Lin Q, Wu J, Qiu S. Meta-analysis of the value of dual-energy computed tomography in the diagnosis of anterior cruciate ligament injuries of the knee. BMC Musculoskelet Disord 2024; 25:557. [PMID: 39020351 PMCID: PMC11256425 DOI: 10.1186/s12891-024-07632-6] [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: 04/22/2024] [Accepted: 06/26/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND This meta-analysis assessed the efficacy of dual-energy computed tomography (DECT) in the diagnosis of anterior cruciate ligament (ACL) injuries. METHODS The literature search was performed up to December 8, 2023, and included a comprehensive examination of several databases: PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and VIP. Diagnostic metrics sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and a summary receiver operating characteristic (SROC) were determined using a bivariate model analysis. Heterogeneity within the data was explored through subgroup analyses, which considered variables including geographical region, use of magnetic resonance imaging (MRI), arthroscopy, and study design. RESULTS The analysis included ten studies encompassing 544 patients. DECT demonstrated substantial diagnostic utility for ACL injuries of the knee, with a sensitivity of 0.91 (95% confidence interval [CI]: 0.88-0.94), a specificity of 0.90 (95% CI: 0.81-0.95), a PLR of 9.20 (95% CI: 4.50-19.00), a NLR of 0.10 (95% CI: 0.06-0.14), a DOR of 97.00 (95% CI: 35.00-268.00), and an area under the curve (AUC) of 0.95 (95% CI: 0.93-0.97). The subgroup analyses consistently showed high diagnostic precision for ACL injuries across Asian population (sensitivity: 0.91, specificity: 0.91, PLR: 9.90, NLR: 0.09, DOR: 105.00, AUC: 0.96), in MRI subgroup (sensitivity: 0.85, specificity: 0.94, PLR: 9.57, NLR: 0.18, DOR: 56.00, AUC: 0.93), in arthroscopy subgroup (sensitivity: 0.92, specificity: 0.89, PLR: 8.40, NLR: 0.09, DOR: 94.00, AUC: 0.95), for prospective studies (sensitivity: 0.92, specificity: 0.88, PLR: 7.40, NLR: 0.09, DOR: 78.00, AUC: 0.95), and for retrospective studies (sensitivity: 0.91, specificity: 0.93, AUC: 0.93). CONCLUSION DECT exhibits a high value in diagnosing ACL injuries. The significant diagnostic value of DECT provides clinicians with a powerful tool that enhances the accuracy and efficiency of diagnosis and optimizes patient management and treatment outcomes.
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Affiliation(s)
- Qiao Lin
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, People's Republic of China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No.16, Airport Road, Baiyun District, Guangzhou, 510405, People's Republic of China
| | - Jiwen Wu
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, People's Republic of China
| | - Shijun Qiu
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, People's Republic of China.
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No.16, Airport Road, Baiyun District, Guangzhou, 510405, People's Republic of China.
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Albano D, Di Luca F, D'Angelo T, Booz C, Midiri F, Gitto S, Fusco S, Serpi F, Messina C, Sconfienza LM. Dual-energy CT in musculoskeletal imaging: technical considerations and clinical applications. LA RADIOLOGIA MEDICA 2024; 129:1038-1047. [PMID: 38743319 PMCID: PMC11252181 DOI: 10.1007/s11547-024-01827-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 05/06/2024] [Indexed: 05/16/2024]
Abstract
Dual-energy CT stands out as a robust and innovative imaging modality, which has shown impressive advancements and increasing applications in musculoskeletal imaging. It allows to obtain detailed images with novel insights that were once the exclusive prerogative of magnetic resonance imaging. Attenuation data obtained by using different energy spectra enable to provide unique information about tissue characterization in addition to the well-established strengths of CT in the evaluation of bony structures. To understand clearly the potential of this imaging modality, radiologists must be aware of the technical complexity of this imaging tool, the different ways to acquire images and the several algorithms that can be applied in daily clinical practice and for research. Concerning musculoskeletal imaging, dual-energy CT has gained more and more space for evaluating crystal arthropathy, bone marrow edema, and soft tissue structures, including tendons and ligaments. This article aims to analyze and discuss the role of dual-energy CT in musculoskeletal imaging, exploring technical aspects, applications and clinical implications and possible perspectives of this technique.
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Affiliation(s)
- Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
- Dipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, Milan, Italy.
| | - Filippo Di Luca
- Scuola di Specializzazione in Radiodiagnostica, Università degli Studi di Milano, Milan, Italy
| | - Tommaso D'Angelo
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital Messina, Messina, Italy
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Salvatore Gitto
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy
| | - Stefano Fusco
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy
| | - Francesca Serpi
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy
| | - Carmelo Messina
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy
| | - Luca Maria Sconfienza
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy
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Yokose C, Eide SE, Huber FA, Simeone FJ, Ghoshhajra BB, Shojania K, Nicolaou S, Becce F, Choi HK. Frequently Encountered Artifacts in the Application of Dual-Energy Computed Tomography to Cardiovascular Imaging for Urate Crystals in Gout: A Matched-Control Study. Arthritis Care Res (Hoboken) 2024; 76:953-963. [PMID: 38317327 PMCID: PMC11209827 DOI: 10.1002/acr.25312] [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: 06/14/2023] [Revised: 11/02/2023] [Accepted: 02/02/2024] [Indexed: 02/07/2024]
Abstract
OBJECTIVE There is surging interest in using dual-energy computed tomography (DECT) to identify cardiovascular monosodium urate (MSU) deposits in patients with gout. We sought to examine the prevalence and characterization of cardiovascular DECT artifacts using non-electrocardiogram (EKG)-gated DECT pulmonary angiograms. METHODS We retrospectively reviewed non-EKG-gated DECT pulmonary angiograms performed on patients with and without gout at a single academic center. We noted the presence and locations of vascular green colorization using the default postprocessing two-material decomposition algorithm for MSU. The high- and low-energy grayscale images and advanced DECT measurements were used to determine whether they were true findings or artifacts. We classified artifacts into five categories: streak, contrast medium mixing, misregistration due to motion, foreign body, and noise. RESULTS Our study included CT scans from 48 patients with gout and 48 age- and sex-matched controls. The majority of patients were male with a mean age of 67 years. Two independent observers attributed all areas of vascular green colorization to artifacts. The most common types of artifacts were streak (56% vs 57% between patients and controls, respectively) and contrast medium mixing (51% vs 65%, respectively). Whereas some of the default DECT measurements of cardiovascular green colorization were consistent with values reported for subcutaneous tophi, advanced DECT measurements were not consistent with that of tophi. CONCLUSION Artifacts that could be misconstrued as cardiovascular MSU deposits were commonly identified in patients with and without gout on non-EKG-gated DECT pulmonary angiograms. These artifacts can inform future vascular DECT studies on patients with gout to minimize false-positive findings.
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Affiliation(s)
- Chio Yokose
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Clinical Epidemiology Program, Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - Florian A. Huber
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich and Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - F. Joseph Simeone
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Brian B. Ghoshhajra
- Division of Cardiovascular Imaging, Department of Radiology, Massachusetts General Hospital, MA
| | - Kamran Shojania
- Division of Rheumatology, Department of Medicine, Vancouver General Hospital
- Arthritis Research Canada, Vancouver BC
| | | | - Fabio Becce
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Hyon K. Choi
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Clinical Epidemiology Program, Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
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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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Gille R, Allignet B, Izarn F, Peyrat P, Boyle H, Fléchon A. Bone Metastases in Non-Seminomatous Germ Cell Tumors: A 20-Year Retrospective Analysis. J Clin Med 2024; 13:3280. [PMID: 38892991 PMCID: PMC11172778 DOI: 10.3390/jcm13113280] [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: 03/30/2024] [Revised: 05/26/2024] [Accepted: 05/31/2024] [Indexed: 06/21/2024] Open
Abstract
Background: Non-seminomatous germ cell tumors (NSGCTs) represent a rare yet the most prevalent malignancy among young men. Bone metastases (BMs) are exceedingly uncommon in this neoplasm, and available data regarding the initial disease presentation, survival outcomes, and prognostic significance of BMs are limited. Methods: We conducted a retrospective analysis of 40 NSGCT patients with BMs treated between 2001 and 2021 in our tertiary care center. The cohort was stratified into synchronous (n = 29) and metachronous (n = 11) groups based on the presence of BM at diagnosis or only at relapse, respectively. We assessed overall survival (OS), progression-free survival (PFS), disease presentation, and treatments. Results: After a median follow-up of 93 months, the 5-year PFS and OS rates were 37.6% and 53.9% in the synchronous group and 18.2% and 36.4% in the metachronous group, respectively. At the initial diagnosis, most patients were classified into the IGCCCG poor prognostic group (n = 34, 85%). BMs were mostly asymptomatic (n = 23, 57.5%), involved the spine (n = 37, 92.5%), and could become visible only after disease response (n = 4, 10%). A pathological examination of resected bone lesions after first-line treatment revealed necrosis (n = 5, 71.4%), teratoma, or seminoma (both n = 1, 14.3%). At first relapse, eight patients in the synchronous group did not experience bone recurrence, while eight patients experienced recurrence at the initial affected bone site. Conclusions: In NSGCT patients, BMs often present asymptomatically and may initially be unnoticed. However, these patients may have a poorer prognosis compared to those in the IGCCCG poor prognostic group. Further studies including control groups are needed to assess the independent prognostic significance of BMs.
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Affiliation(s)
- Romane Gille
- Campus Lyon Sud Charles Mérieux, University Claude-Bernard Lyon 1, 69921 Oullins-Pierre-Bénite, France;
- Department of Medical Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France; (H.B.); (A.F.)
| | - Benoît Allignet
- Department of Radiation Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France;
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1 , CNRS, Inserm, CREATIS UMR 5220, U1294, 69621 Lyon, France
| | - Floriane Izarn
- Campus Lyon Sud Charles Mérieux, University Claude-Bernard Lyon 1, 69921 Oullins-Pierre-Bénite, France;
- Department of Medical Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France; (H.B.); (A.F.)
| | - Patrice Peyrat
- Department of Surgery, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France;
| | - Helen Boyle
- Department of Medical Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France; (H.B.); (A.F.)
| | - Aude Fléchon
- Department of Medical Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France; (H.B.); (A.F.)
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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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Stoppino LP, Piscone S, Saccone S, Ciccarelli SA, Marinelli L, Milillo P, Gallo C, Macarini L, Vinci R. Vertebral and Femoral Bone Mineral Density (BMD) Assessment with Dual-Energy CT versus DXA Scan in Postmenopausal Females. J Imaging 2024; 10:104. [PMID: 38786558 PMCID: PMC11122249 DOI: 10.3390/jimaging10050104] [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: 03/09/2024] [Revised: 04/20/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
This study aimed to demonstrate the potential role of dual-energy CT in assessing bone mineral density (BMD) using hydroxyapatite-fat material pairing in postmenopausal women. A retrospective study was conducted on 51 postmenopausal female patients who underwent DXA and DECT examinations for other clinical reasons. DECT images were acquired with spectral imaging using a 256-slice system. These images were processed and visualized using a HAP-fat material pair. Statistical analysis was performed using the Bland-Altman method to assess the agreement between DXA and DECT HAP-fat measurements. Mean BMD, vertebral, and femoral T-scores were obtained. For vertebral analysis, the Bland-Altman plot showed an inverse correlation (R2: -0.042; RMSE: 0.690) between T-scores and DECT HAP-fat values for measurements from L1 to L4, while a good linear correlation (R2: 0.341; RMSE: 0.589) was found for measurements at the femoral neck. In conclusion, we demonstrate the enhanced importance of BMD calculation through DECT, finding a statistically significant correlation only at the femoral neck where BMD results do not seem to be influenced by the overlap of the measurements on cortical and trabecular bone. This outcome could be beneficial in the future by reducing radiation exposure for patients already undergoing follow-up for chronic conditions.
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Affiliation(s)
- Luca Pio Stoppino
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (S.P.); (S.S.); (S.A.C.); (L.M.); (P.M.); (L.M.); (R.V.)
| | - Stefano Piscone
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (S.P.); (S.S.); (S.A.C.); (L.M.); (P.M.); (L.M.); (R.V.)
| | - Sara Saccone
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (S.P.); (S.S.); (S.A.C.); (L.M.); (P.M.); (L.M.); (R.V.)
| | - Saul Alberto Ciccarelli
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (S.P.); (S.S.); (S.A.C.); (L.M.); (P.M.); (L.M.); (R.V.)
| | - Luca Marinelli
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (S.P.); (S.S.); (S.A.C.); (L.M.); (P.M.); (L.M.); (R.V.)
| | - Paola Milillo
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (S.P.); (S.S.); (S.A.C.); (L.M.); (P.M.); (L.M.); (R.V.)
| | - Crescenzio Gallo
- Department of Clinical and Experimental Medicine, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy;
| | - Luca Macarini
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (S.P.); (S.S.); (S.A.C.); (L.M.); (P.M.); (L.M.); (R.V.)
| | - Roberta Vinci
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (S.P.); (S.S.); (S.A.C.); (L.M.); (P.M.); (L.M.); (R.V.)
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9
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Singla N, Joshi M, Amerasekera S, Choudhary S. Applications of dual-energy CT in acute musculoskeletal and trauma imaging-a review. Skeletal Radiol 2024:10.1007/s00256-024-04676-6. [PMID: 38587617 DOI: 10.1007/s00256-024-04676-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 04/01/2024] [Accepted: 04/02/2024] [Indexed: 04/09/2024]
Abstract
Recent advances in computed tomography have resulted in new applications of CT scans in musculoskeletal imaging. Dual-energy CT technology involves the acquisition of data at high and low kilovolts, allowing differentiation and quantification of materials with different X-ray absorption. Newer CT scanners with a variety of post-processing options allow interesting applications of dual-energy CT in musculoskeletal and trauma imaging. This article provides an overview of the basic principles and physics of DECT. We review applications of DECT in the evaluation of the acute painful joint with suspicion of gout, metal artefact reduction in the prosthetic joint and in imaging of patients following major trauma. We present a review of literature and case examples to illustrate the strengths and limitations of this modality in the diagnosis of acute musculoskeletal conditions.
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Affiliation(s)
- Nehal Singla
- Queen Elizabeth Hospital, Birmingham, UK.
- Whipps Cross University Hospital, London, UK.
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10
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Cheong SCW, Yan YY, Sheikh A, Ouellette HA, Munk PL, Murray N, Mallinson PI. Dual-energy CT applications in musculoskeletal disorders. Br J Radiol 2024; 97:705-715. [PMID: 38291893 PMCID: PMC11027318 DOI: 10.1093/bjr/tqae023] [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: 07/30/2023] [Revised: 01/06/2024] [Accepted: 01/24/2024] [Indexed: 02/01/2024] Open
Abstract
Dual-energy CT (DECT) is an exciting application in CT technology conferring many advantages over conventional single-energy CT at no additional with comparable radiation dose to the patient. Various emerging and increasingly established clinical DECT applications in musculoskeletal (MSK) imaging such as bone marrow oedema detection, metal artefact reduction, monosodium urate analysis, and collagen analysis for ligamentous, meniscal, and disc injuries are made possible through its advanced DECT post-processing capabilities. These provide superior information on tissue composition, artefact reduction and image optimization. Newer DECT applications to evaluate fat fraction for sarcopenia, Rho/Z application for soft tissue calcification differentiation, 3D rendering, and AI integration are being assessed for future use. In this article, we will discuss the established and developing applications of DECT in the setting of MSK radiology as well as the basic principles of DECT which facilitate them.
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Affiliation(s)
- Sook Chuei W Cheong
- Musculoskeletal section, Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, V5Z 1M9 Canada
- Department of Radiology, Changi General Hospital, Singapore 529889, Singapore
| | - Yet Yen Yan
- Musculoskeletal section, Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, V5Z 1M9 Canada
- Department of Radiology, Changi General Hospital, Singapore 529889, Singapore
| | - Adnan Sheikh
- Musculoskeletal section, Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, V5Z 1M9 Canada
| | - Hugue A Ouellette
- Musculoskeletal section, Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, V5Z 1M9 Canada
| | - Peter L Munk
- Musculoskeletal section, Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, V5Z 1M9 Canada
| | - Nicolas Murray
- Musculoskeletal section, Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, V5Z 1M9 Canada
| | - Paul I Mallinson
- Musculoskeletal section, Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, V5Z 1M9 Canada
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Mahmoudi S, Gruenewald LD, Koch V, Bernatz S, Martin SS, Engelskirchen L, Radic I, Bucolo G, D'Angelo T, Gotta J, Mader C, Dos Santos DP, Scholtz JE, Gruber-Rouh T, Eichler K, Vogl TJ, Booz C, Yel I. Potential of Dual-Energy CT-Based Collagen Maps for the Assessment of Disk Degeneration in the Lumbar Spine. Acad Radiol 2024:S1076-6332(24)00127-2. [PMID: 38519304 DOI: 10.1016/j.acra.2024.02.036] [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: 01/26/2024] [Revised: 02/16/2024] [Accepted: 02/23/2024] [Indexed: 03/24/2024]
Abstract
RATIONALE AND OBJECTIVES Lumbar disk degeneration is a common condition contributing significantly to back pain. The objective of the study was to evaluate the potential of dual-energy CT (DECT)-derived collagen maps for the assessment of lumbar disk degeneration. PATIENTS AND METHODS We conducted a retrospective analysis of 127 patients who underwent dual-source DECT and MRI of the lumbar spine between 07/2019 and 10/2022. The level of lumbar disk degeneration was categorized by three radiologists as follows: no/mild (Pfirrmann 1&2), moderate (Pfirrmann 3&4), and severe (Pfirrmann 5). Recall (sensitivity) and accuracy of DECT collagen maps were calculated. Intraclass correlation coefficient (ICC) was used to evaluate inter-reader reliability. Subjective evaluations were performed using 5-point Likert scales for diagnostic confidence and image quality. RESULTS We evaluated a total of 762 intervertebral disks from 127 patients (median age, 69.7 (range, 23.0-93.7), female, 56). MRI identified 230 non/mildly degenerated disks (30.2%), 484 moderately degenerated disks (63.5%), and 48 severely degenerated disks (6.3%). DECT collagen maps yielded an overall accuracy of 85.5% (1955/2286). Recall (sensitivity) was 79.3% (547/690) for the detection of no/mild lumbar disk degeneration, 88.7% (1288/1452) for the detection of moderate disk degeneration, and 83.3% (120/144) for the detection of severe disk degeneration (ICC=0.9). Subjective evaluations of DECT collagen maps showed high diagnostic confidence (median 4) and good image quality (median 4). CONCLUSION The use of DECT collagen maps to distinguish different stages of lumbar disk degeneration may have clinical significance in the early diagnosis of disk-related pathologies in patients with contraindications for MRI or in cases of unavailability of MRI.
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Affiliation(s)
- Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany; Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Lara Engelskirchen
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Ivana Radic
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Giuseppe Bucolo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy
| | - Jennifer Gotta
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Christoph Mader
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Daniel Pinto Dos Santos
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
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Faghani S, Patel S, Rhodes NG, Powell GM, Baffour FI, Moassefi M, Glazebrook KN, Erickson BJ, Tiegs-Heiden CA. Deep-learning for automated detection of MSU deposits on DECT: evaluating impact on efficiency and reader confidence. FRONTIERS IN RADIOLOGY 2024; 4:1330399. [PMID: 38440382 PMCID: PMC10909828 DOI: 10.3389/fradi.2024.1330399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 01/31/2024] [Indexed: 03/06/2024]
Abstract
Introduction Dual-energy CT (DECT) is a non-invasive way to determine the presence of monosodium urate (MSU) crystals in the workup of gout. Color-coding distinguishes MSU from calcium following material decomposition and post-processing. Manually identifying these foci (most commonly labeled green) is tedious, and an automated detection system could streamline the process. This study aims to evaluate the impact of a deep-learning (DL) algorithm developed for detecting green pixelations on DECT on reader time, accuracy, and confidence. Methods We collected a sample of positive and negative DECTs, reviewed twice-once with and once without the DL tool-with a 2-week washout period. An attending musculoskeletal radiologist and a fellow separately reviewed the cases, simulating clinical workflow. Metrics such as time taken, confidence in diagnosis, and the tool's helpfulness were recorded and statistically analyzed. Results We included thirty DECTs from different patients. The DL tool significantly reduced the reading time for the trainee radiologist (p = 0.02), but not for the attending radiologist (p = 0.15). Diagnostic confidence remained unchanged for both (p = 0.45). However, the DL model identified tiny MSU deposits that led to a change in diagnosis in two cases for the in-training radiologist and one case for the attending radiologist. In 3/3 of these cases, the diagnosis was correct when using DL. Conclusions The implementation of the developed DL model slightly reduced reading time for our less experienced reader and led to improved diagnostic accuracy. There was no statistically significant difference in diagnostic confidence when studies were interpreted without and with the DL model.
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Affiliation(s)
- Shahriar Faghani
- Artificial Intelligence Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Soham Patel
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | | | - Garret M. Powell
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | | | - Mana Moassefi
- Artificial Intelligence Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | | | - Bradley J. Erickson
- Artificial Intelligence Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, United States
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Germonpré J, Vandekerckhove LMJ, Raes E, Chiers K, Jans L, Vanderperren K. Post-mortem feasibility of dual-energy computed tomography in the detection of bone edema-like lesions in the equine foot: a proof of concept. Front Vet Sci 2024; 10:1201017. [PMID: 38249561 PMCID: PMC10797750 DOI: 10.3389/fvets.2023.1201017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 11/27/2023] [Indexed: 01/23/2024] Open
Abstract
Introduction In this proof-of-concept study, the post-mortem feasibility of dual-energy computed tomography (DECT) in the detection of bone edema-like lesions in the equine foot is described in agreement with the gold standard imaging technique, which is magnetic resonance imaging (MRI). Methods A total of five equine cadaver feet were studied, of which two were pathological and three were within normal limits and served as references. A low-field MRI of each foot was performed, followed by a DECT acquisition. Multiplanar reformations of DECT virtual non-calcium images were compared with MRI for the detection of bone edema-like lesions. A gross post-mortem was performed, and histopathologic samples were obtained of the navicular and/or distal phalanx of the two feet selected based on pathology and one reference foot. Results On DECT virtual non-calcium imaging, the two pathological feet showed diffuse increased attenuation corresponding with bone edema-like lesions, whereas the three reference feet were considered normal. These findings were in agreement with the findings on the MRI. Histopathology of the two pathologic feet showed abnormalities in line with bone edema-like lesions. Histopathology of the reference foot was normal. Conclusion DECT virtual non-calcium imaging can be a valuable diagnostic tool in the diagnosis of bone edema-like lesions in the equine foot. Further examination of DECT in equine diagnostic imaging is warranted in a larger cohort, different locations, and alive animals.
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Affiliation(s)
- Jolien Germonpré
- Department of Morphology, Imaging, Orthopedics, Rehabilitation, and Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Louis M. J. Vandekerckhove
- Department of Morphology, Imaging, Orthopedics, Rehabilitation, and Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Els Raes
- Department of Morphology, Imaging, Orthopedics, Rehabilitation, and Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Koen Chiers
- Department of Pathobiology, Pharmacology, and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Lennart Jans
- Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University Hospital, Ghent, Belgium
| | - Katrien Vanderperren
- Department of Morphology, Imaging, Orthopedics, Rehabilitation, and Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
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14
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Gruenewald LD, Booz C, Martin SS, Mahmoudi S, Yel I, Eichler K, Alizadeh LS, Bernatz S, Gotta J, Reschke P, Weber C, Sommer CM, D'Angelo T, Bucolo G, Leistner DM, Vogl TJ, Koch V. Diagnostic performance of modern computed tomography in cruciate ligament injury detection: A comprehensive study. Eur J Radiol 2024; 170:111235. [PMID: 38071908 DOI: 10.1016/j.ejrad.2023.111235] [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: 06/30/2023] [Revised: 08/30/2023] [Accepted: 11/25/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND This study aimed to evaluate the clinical utility of modern single and dual-energy computed tomography (CT) for assessing the integrity of the cruciate ligaments in patients that sustained acute trauma. METHODS Patients who underwent single- or dual-energy CT followed by 3 Tesla magnetic resonance imaging (MRI) or knee joint arthroscopy between 01/2016 and 12/2022 were included in this retrospective, monocentric study. Three radiologists specialized in musculoskeletal imaging independently evaluated all CT images for the presence of injury to the cruciate ligaments. An MRI consensus reading of two experienced readers and arthroscopy provided the reference standard. Diagnostic accuracy parameters and area under the receiver operator characteristic curve (AUC) were the primary metrics for diagnostic performance. RESULTS CT images of 204 patients (median age, 49 years; IQR 36 - 64; 113 males) were evaluated. Dual-energy CT yielded significantly higher diagnostic accuracy and AUC for the detection of injury to the anterior (94% [240/255] vs 75% [266/357] and 0.89 vs 0.66) and posterior cruciate ligaments (95% [243/255] vs 87% [311/357] and 0.90 vs 0.61) compared to single-energy CT (all parameters, p <.005). Diagnostic confidence and image quality were significantly higher in dual-energy CT compared to single-energy CT (all parameters, p <.005). CONCLUSIONS Modern dual-energy CT is readily available and can serve as a screening tool for detecting or excluding cruciate ligament injuries in patients with acute trauma. Accurate diagnosis of cruciate ligament injuries is crucial to prevent adverse outcomes, including delayed treatment, chronic instability, or long-term functional limitations.
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Affiliation(s)
- Leon D Gruenewald
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Christian Booz
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Simon S Martin
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Scherwin Mahmoudi
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Katrin Eichler
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Leona S Alizadeh
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Simon Bernatz
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Jennifer Gotta
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Philipp Reschke
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Christophe Weber
- Department of Cardiology, Angiology, and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany
| | - Christof M Sommer
- Clinic of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Giuseppe Bucolo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - David M Leistner
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Vitali Koch
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
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15
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Liu D, Hu P, Cai ZJ, Lu WH, Pan LY, Liu X, Peng XJ, Li YS, Xiao WF. Valid and reliable diagnostic performance of dual-energy CT in anterior cruciate ligament rupture. Eur Radiol 2023; 33:7769-7778. [PMID: 37171489 PMCID: PMC10598075 DOI: 10.1007/s00330-023-09720-y] [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: 12/19/2022] [Revised: 03/13/2023] [Accepted: 03/21/2023] [Indexed: 05/13/2023]
Abstract
OBJECTIVES To determine whether dual-energy CT (DECT) can be used to accurately and reliably detect anterior cruciate ligament (ACL) rupture. MATERIALS AND METHODS Participants with unilateral ACL rupture were prospectively enrolled, and the bilateral knees were scanned by DECT. A tissue-specific mapping algorithm was applied to improve the visualization of the ACLs. The 80-keV CT value, mixed-keV CT value, electron density (Rho), and effective atomic number (Zeff) were measured to quantitatively differentiate torn ACLs from normal ACLs. MRI and arthroscopy served as the reference standards. RESULTS Fifty-one participants (mean age, 27.0 ± 8.7 years; 31 men) were enrolled. Intact and torn ACLs were explicitly differentiated on color-coded DECT images. The 80-keV CT value, mixed-keV CT value, and Rho were significantly lower for the torn ACLs than for the intact ACLs (p < 0.001). The optimal cutoff values were an 80-keV CT value of 61.8 HU, a mixed-keV CT value of 60.9 HU, and a Rho of 51.8 HU, with AUCs of 98.0% (95% CI: 97.0-98.9%), 99.2% (95% CI: 98.6-99.7%), and 99.8% (95% CI: 99.6-100.0%), respectively. Overall, DECT had almost perfect reliability and validity in detecting ACL integrity (sensitivity = 97.1% [95% CI: 88.1-99.8%]; specificity = 98.0% [95% CI: 89.5-99.9%]; PPV = 98.0% [95% CI: 93.0-99.8%]; NPV = 97.1% [95% CI: 91.7-99.4%]; accuracy = 97.5% [95% CI: 94.3-99.2%]). There was no evidence of a difference between MRI and DECT in the diagnostic performance (p > 0.99). CONCLUSION DECT has excellent diagnostic accuracy and reliability in qualitatively and quantitatively diagnosing ACL rupture. CLINICAL RELEVANCE STATEMENT DECT could validly and reliably diagnose ACL rupture using both qualitative and quantitative methods, which may become a promising substitute for MRI to evaluate the integrity of injured ACLs and the maturity of postoperative ACL autografts. KEY POINTS • On color-coded DECT images, an uncolored ACL was a reliable sign for qualitatively diagnosing ACL rupture. • The 80-keV CT value, mixed-keV CT value, and Rho were significantly lower for the torn ACLs than for the intact ACLs, which contributed to the quantitative diagnosis of ACL rupture. • DECT had an almost perfect diagnostic performance for ACL rupture, and diagnostic capability was comparable between MRI and DECT.
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Affiliation(s)
- Di Liu
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Ping Hu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Zi-Jun Cai
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Wen-Hao Lu
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Lin-Yuan Pan
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Xu Liu
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Xian-Jing Peng
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
| | - Yu-Sheng Li
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
| | - Wen-Feng Xiao
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
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16
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Meer E, Patel M, Chan D, Sheikh AM, Nicolaou S. Dual-Energy Computed Tomography and Beyond: Musculoskeletal System. Radiol Clin North Am 2023; 61:1097-1110. [PMID: 37758359 DOI: 10.1016/j.rcl.2023.05.008] [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
Traditional monoenergetic computed tomography (CT) scans in musculoskeletal imaging provide excellent detail of bones but are limited in the evaluation of soft tissues. Dual-energy CT (DECT) overcomes many of the traditional limitations of CT and offers anatomical details previously seen only on MR imaging. In addition, DECT has benefits in the evaluation and characterization of arthropathies, bone marrow edema, and collagen applications in the evaluation of tendons, ligaments, and vertebral discs. There is current ongoing research in the application of DECT in arthrography and bone mineral density calculation.
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Affiliation(s)
- Emtenen Meer
- Vancouver General Hospital-University of British Columbia, Vancouver, British Columbia, Canada; King Faisal Specialist Hospital and Research Centre, Jeddah, Saudi Arabia.
| | - Mitulkumar Patel
- Vancouver General Hospital-University of British Columbia, Vancouver, British Columbia, Canada
| | - Darren Chan
- Vancouver General Hospital-University of British Columbia, Vancouver, British Columbia, Canada
| | - Adnan M Sheikh
- Vancouver General Hospital-University of British Columbia, Vancouver, British Columbia, Canada
| | - Savvas Nicolaou
- Vancouver General Hospital-University of British Columbia, Vancouver, British Columbia, Canada
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17
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Arévalo Hernández A, Mittlmeier T, Weber MA. [Contemporary imaging examinations for (suspected) stress fractures]. UNFALLCHIRURGIE (HEIDELBERG, GERMANY) 2023; 126:831-838. [PMID: 37650915 DOI: 10.1007/s00113-023-01358-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/18/2023] [Indexed: 09/01/2023]
Abstract
Stress fractures belong to the group of atraumatic fractures. A low-impact and repetitive load is the underlying cause and no fracture would occur under physiological circumstances. The conventional X‑ray examination remains the initial imaging modality when a stress fracture is suspected. In contrast, magnetic resonance imaging (MRI) is the gold standard and is also used to rule out other pathological changes. Computed tomography (CT) should be included if the MRI findings are unclear. New techniques, such as dual energy computed tomography (DECT) and magnetic resonance bone imaging (MR bone) should be used more frequently in practice in the future and become increasingly more important for the correct diagnosis.
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Affiliation(s)
- Andrés Arévalo Hernández
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland.
| | - Thomas Mittlmeier
- Klinik für Unfall‑, Hand- und Wiederherstellungschirurgie, Universitätsmedizin Rostock, Rostock, Deutschland
| | - Marc-André Weber
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland
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18
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Schmidt TG, Sidky EY, Pan X, Barber RF, Grönberg F, Sjölin M, Danielsson M. Constrained one-step material decomposition reconstruction of head CT data from a silicon photon-counting prototype. Med Phys 2023; 50:6008-6021. [PMID: 37523258 PMCID: PMC11073613 DOI: 10.1002/mp.16649] [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: 03/29/2023] [Revised: 06/23/2023] [Accepted: 07/15/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Spectral CT material decomposition provides quantitative information but is challenged by the instability of the inversion into basis materials. We have previously proposed the constrained One-Step Spectral CT Image Reconstruction (cOSSCIR) algorithm to stabilize the material decomposition inversion by directly estimating basis material images from spectral CT data. cOSSCIR was previously investigated on phantom data. PURPOSE This study investigates the performance of cOSSCIR using head CT datasets acquired on a clinical photon-counting CT (PCCT) prototype. This is the first investigation of cOSSCIR for large-scale, anatomically complex, clinical PCCT data. The cOSSCIR decomposition is preceded by a spectrum estimation and nonlinear counts correction calibration step to address nonideal detector effects. METHODS Head CT data were acquired on an early prototype clinical PCCT system using an edge-on silicon detector with eight energy bins. Calibration data of a step wedge phantom were also acquired and used to train a spectral model to account for the source spectrum and detector spectral response, and also to train a nonlinear counts correction model to account for pulse pileup effects. The cOSSCIR algorithm optimized the bone and adipose basis images directly from the photon counts data, while placing a grouped total variation (TV) constraint on the basis images. For comparison, basis images were also reconstructed by a two-step projection-domain approach of Maximum Likelihood Estimation (MLE) for decomposing basis sinograms, followed by filtered backprojection (MLE + FBP) or a TV minimization algorithm (MLE + TVmin ) to reconstruct basis images. We hypothesize that the cOSSCIR approach will provide a more stable inversion into basis images compared to two-step approaches. To investigate this hypothesis, the noise standard deviation in bone and soft-tissue regions of interest (ROIs) in the reconstructed images were compared between cOSSCIR and the two-step methods for a range of regularization constraint settings. RESULTS cOSSCIR reduced the noise standard deviation in the basis images by a factor of two to six compared to that of MLE + TVmin , when both algorithms were constrained to produce images with the same TV. The cOSSCIR images demonstrated qualitatively improved spatial resolution and depiction of fine anatomical detail. The MLE + TVmin algorithm resulted in lower noise standard deviation than cOSSCIR for the virtual monoenergetic images (VMIs) at higher energy levels and constraint settings, while the cOSSCIR VMIs resulted in lower noise standard deviation at lower energy levels and overall higher qualitative spatial resolution. There were no statistically significant differences in the mean values within the bone region of images reconstructed by the studied algorithms. There were statistically significant differences in the mean values within the soft-tissue region of the reconstructed images, with cOSSCIR producing mean values closer to the expected values. CONCLUSIONS The cOSSCIR algorithm, combined with our previously proposed spectral model estimation and nonlinear counts correction method, successfully estimated bone and adipose basis images from high resolution, large-scale patient data from a clinical PCCT prototype. The cOSSCIR basis images were able to depict fine anatomical details with a factor of two to six reduction in noise standard deviation compared to that of the MLE + TVmin two-step approach.
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Affiliation(s)
- Taly Gilat Schmidt
- Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Emil Y Sidky
- Department of Radiology, University of Chicago, Chicago, Illinois, USA
| | - Xiaochuan Pan
- Department of Radiology, University of Chicago, Chicago, Illinois, USA
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Gruenewald LD, Koch V, Martin SS, Yel I, Mahmoudi S, Bernatz S, Eichler K, Alizadeh LS, D'Angelo T, Mazziotti S, Singer H, Heck V, Vogl TJ, Booz C. Diagnostic value of DECT-based colored collagen maps for the assessment of cruciate ligaments in patients with acute trauma. Eur Radiol 2023; 33:6339-6350. [PMID: 37000215 PMCID: PMC10415420 DOI: 10.1007/s00330-023-09558-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/27/2023] [Accepted: 03/10/2023] [Indexed: 04/01/2023]
Abstract
OBJECTIVES The purpose of this study was to evaluate the diagnostic accuracy of third-generation dual-source dual-energy CT (DECT) color-coded collagen reconstructions for the assessment of the cruciate ligaments compared to standard grayscale image reconstruction. METHODS Patients who underwent third-generation dual-source DECT followed by either 3-T MRI or arthroscopy of the knee joint within 14 days between January 2016 and December 2021 were included in this retrospective study. Five radiologists independently evaluated conventional grayscale DECT for the presence of injury to the cruciate ligaments; after 4 weeks, readers re-evaluated the examinations using grayscale images and color-coded collagen reconstructions. A reference standard for MRI was provided by a consensus reading of two experienced readers and arthroscopy. Sensitivity and specificity were the primary metrics of diagnostic performance. RESULTS Eighty-five patients (mean age, 44 years ± 16; 50 male) with injury to the ACL or PCL (n = 31) were ultimately included. Color-coded collagen reconstructions significantly increased overall sensitivity (94/105 [90%] vs. 67/105 [64%]), specificity (248/320 [78%] vs. 215/320 [67%]), PPV (94/166 [57%] vs. 67/162 [39%]), NPV (248/259 [96%] vs. 215/253 [85%]), and accuracy (342/425 [81%] vs. 282/425 [66%]) for the detection of injury to the anterior cruciate ligament (all parameters, p < .001). For injury to the posterior cruciate ligament, diagnostic accuracy increased for complete tears (p < .001). Color-coded collagen reconstructions achieved superior diagnostic confidence, image quality, and noise scores compared to grayscale CT (all parameters, p < .001) and showed good agreement with MRI examinations. CONCLUSIONS DECT-derived color-coded collagen reconstructions yield substantially higher diagnostic accuracy and confidence for assessing the integrity of the cruciate ligaments compared to standard grayscale CT in patients with acute trauma. KEY POINTS • Color-coded collagen reconstructions derived from dual-energy CT yield substantially higher diagnostic accuracy and confidence for the assessment of the cruciate ligaments compared to standard grayscale CT in patients with acute trauma. • Color-coded collagen reconstructions demonstrate good agreement with MRI for the assessment cruciate ligament injury. • Dual-energy CT may serve as a readily available screening approach for patients with acute trauma to the knee when injury to the cruciate ligaments is suspected.
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Affiliation(s)
- Leon D Gruenewald
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
| | - Vitali Koch
- 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
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Leona S Alizadeh
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Silvio Mazziotti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Hendrik Singer
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany
| | - Vincent Heck
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany
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20
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Schierenbeck M, Grözinger M, Reichardt B, Jansen O, Kauczor HU, Campbell GM, Sedaghat S. Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition. Diagnostics (Basel) 2023; 13:2745. [PMID: 37685282 PMCID: PMC10486895 DOI: 10.3390/diagnostics13172745] [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: 06/27/2023] [Revised: 08/04/2023] [Accepted: 08/17/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Detecting bone marrow edema (BME) as a sign of acute fractures is challenging on conventional computed tomography (CT). This study evaluated the diagnostic performance of a three-material decomposition (TMD) approach for detecting traumatic BME of the extremities on spectral computed tomography (SCT). METHODS This retrospective diagnostic study included 81 bone compartments with and 80 without BME. A TMD application to visualize BME was developed in collaboration with Philips Healthcare. The following bone compartments were included: distal radius, proximal femur, proximal tibia, distal tibia and fibula, and long bone diaphysis. Two blinded radiologists reviewed each case independently in random order for the presence or absence of BME. RESULTS The interrater reliability was 0.84 (p < 0.001). The different bone compartments showed sensitivities of 86.7% to 93.8%, specificities of 84.2% to 94.1%, positive predictive values of 82.4% to 94.7%, negative predictive values of 87.5% to 93.3%, and area under the curve (AUC) values of 85.7% to 93.1%. The distal radius showed the highest sensitivity and the proximal femur showed the lowest sensitivity, while the proximal femur presented the highest specificity and the distal tibia presented the lowest specificity. CONCLUSIONS Our TMD approach provides high diagnostic performance for detecting BME of the extremities. Therefore, this approach could be used routinely in the emergency setting.
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Affiliation(s)
- Marie Schierenbeck
- Department for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, 24105 Kiel, Germany
| | - Martin Grözinger
- German Cancer Research Center, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Benjamin Reichardt
- Department of Interventional Radiology and Neuroradiology, Klinikum Hochsauerland, 59821 Arnsberg, Germany
| | - Olav Jansen
- Department for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, 24105 Kiel, Germany
| | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | | | - Sam Sedaghat
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, 69120 Heidelberg, Germany
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21
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Foti G, Booz C, Buculo GM, Oliboni E, Longo C, Avanzi P, Campacci A, Zorzi C. Dual-Energy CT Arthrography: Advanced Muscolo-Skelatal Applications in Clinical Practice. Tomography 2023; 9:1471-1484. [PMID: 37624110 PMCID: PMC10458814 DOI: 10.3390/tomography9040117] [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: 07/06/2023] [Revised: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 08/26/2023] Open
Abstract
This paper provides a comprehensive overview of the potential applications of dual-energy CT (DECT) in improving image quality and the diagnostic capabilities of CT arthrography (CTA) in clinical practice. The paper covers the use of virtual non-contrast (VNC) images, in which the injected contrast medium is subtracted from the articular cavity in order to better analyze 2D and 3D images of the bone. Moreover, virtual monoenergetic imaging (VMI) applications and their potential use for the reduction of metal artifacts and improving image contrast are reviewed. The role of virtual non-calcium (VNCa) in detecting bone marrow edema surrounding the imaged joint will be discussed. Furthermore, the role of iodine maps in enhancing the contrast between soft tissues, optimizing the visualization of contrast material, and distinguishing contrast material from calcifications is described. Finally, a case series including different joints is provided to underline the additional advantages of high-spatial-resolution dual-energy CT reconstructed images.
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Affiliation(s)
- Giovanni Foti
- Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37042 Negrar, Verona, Italy; (E.O.); (C.L.)
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, Division of Experimental Imaging, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany;
| | | | - Eugenio Oliboni
- Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37042 Negrar, Verona, Italy; (E.O.); (C.L.)
| | - Chiara Longo
- Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37042 Negrar, Verona, Italy; (E.O.); (C.L.)
| | - Paolo Avanzi
- Department of Orthopedic Surgery, IRCCS Sacro Cuore Hospital, 37042 Negrar, Verona, Italy; (P.A.); (A.C.)
| | - Antonio Campacci
- Department of Orthopedic Surgery, IRCCS Sacro Cuore Hospital, 37042 Negrar, Verona, Italy; (P.A.); (A.C.)
| | - Claudio Zorzi
- Department of Orthopedic Surgery, IRCCS Sacro Cuore Hospital, 37042 Negrar, Verona, Italy; (P.A.); (A.C.)
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22
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Liu S, Pan H, Wu S, Li S, Sun J, Ren T, Li Z, Zhou J. Diagnostic Value of Dual-Energy CT Virtual Non-Calcium and Rho/Z Images for Bone Marrow Infiltration in Primary Malignant Bone Tumors. Acad Radiol 2023; 30:1659-1666. [PMID: 36371375 DOI: 10.1016/j.acra.2022.10.016] [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: 08/24/2022] [Revised: 10/12/2022] [Accepted: 10/15/2022] [Indexed: 11/11/2022]
Abstract
RATIONALE AND OBJECTIVES We investigated the diagnostic performance of dual-energy CT (DECT) virtual non-calcium (VNCa) and Rho/Z images for bone marrow infiltration of primary malignant bone tumors (PMBTs). MATERIALS AND METHODS We retrospectively analyzed 65 patients with PMBT who underwent DECT and MRI within 2 weeks. DECT was used to evaluate the presence and extent of marrow involvement surrounding PMBTs using the SCT, VNCa, and Rho/Z images. MRI was used as the reference standard for measurements. CT values of normal and involved bone marrow areas were measured on VNCa images, and Zeff values were measured on Rho/Z images. The statistical methods used were the 2*C chi-square test, ANOVA test, paired samples t test, and diagnostic performance of the different variables were evaluated using receiver operating characteristic curves. RESULTS VNCa and Rho/Z images showed higher accuracy (91%, 92% vs. 67%) and sensitivity (90%, 92% vs. 69%) than SCT images for diagnosing bone marrow infiltration in patients with PMBT. The maximum longitudinal diameter of tumor involvement measurements was statistically different between VNCa and SCT, Rho/Z and SCT, MRI, and SCT (all p < 0.05, p = 0.047, p = 0.049, and p = 0.023, respectively). The maximum transverse diameter was statistically significant between SCT and MRI, VNCa and MRI, Rho/Z and MRI (all p < 0.05, and p = 0.015, and p = 0.044, and p = 0.047, respectively). The HU or Zeff values based on the area of interest of VNCa and Rho/Z images differed significantly between the normal and infiltrated bone marrow area (p < 0.001). Receiver operating characteristic curve analysis revealed area under the curves of 0.995 and 0.988, respectively, with cut-off values of -31.57 HU and 7.8, and the sensitivity of both was 96.9%. CONCLUSION DECT-VNCa and Rho/Z images have good diagnostic value when evaluating bone marrow infiltration in PMBTs.
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Affiliation(s)
- Suwei Liu
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second clinical school, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Haojie Pan
- Second clinical school, Lanzhou University, Lanzhou, China
| | - Shijie Wu
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China
| | - Shenglin Li
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second clinical school, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Jiachen Sun
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second clinical school, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Tiezhu Ren
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second clinical school, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Zhengxiao Li
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second clinical school, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second clinical school, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.
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23
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Jarraya M, Guermazi A, Liew JW, Tolstykh I, Lynch JA, Aliabadi P, Felson DT, Clancy M, Nevitt M, Lewis CE, Torner J, Neogi T. Prevalence of intra-articular mineralization on knee computed tomography: the multicenter osteoarthritis study. Osteoarthritis Cartilage 2023; 31:1111-1120. [PMID: 37088266 PMCID: PMC10524737 DOI: 10.1016/j.joca.2023.04.004] [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: 10/11/2022] [Revised: 03/23/2023] [Accepted: 04/12/2023] [Indexed: 04/25/2023]
Abstract
OBJECTIVE The aim of this work was to report the prevalence of computed tomography (CT)-detected intra-articular mineralization. DESIGN We included participants from the Multicenter Osteoarthritis (MOST) Study. At the 12th year visit of the MOST study, bilateral knee CTs were first obtained. All participants also had posteroanterior and lateral radiographs of bilateral knees and completed standard questionnaires. Knee radiographs were assessed for Kellgren & Lawrence grade (KLG) and radiographic evidence of intra-articular mineralization. CT images were scored using the Boston University Calcium Knee Score (BUCKS) for cartilage, menisci, ligaments, capsule, and vasculature. Prevalence of intra-articular mineralization was computed for the total sample, and stratified by age, sex, race, Body Mass Index (BMI), presence of frequent knee pain, and KLG. We also determined distribution of mineralization in the cartilage and meniscus, and co-localization. RESULTS 4140 bilateral knees from 2070 participants were included (56.7% female, mean age 61.1 years, mean BMI: 28.8 kg/m2). On radiographs 240 knees (5.8%) had intraarticular mineralization, while CT-detected mineralization was present in 9.8% of knees. Prevalence of hyaline articular and meniscus mineralization increased with age and KL grade, and was similar by sex, BMI categories, and comparable in subjects with and without frequent knee pain. Mineralization tended to be ubiquitous in the joint, most commonly involving all three (medial/lateral tibiofemoral and patellofemoral) compartments (3.1%), while the patellofemoral compartment was the most involved compartment in isolation (1.4%). CONCLUSIONS CT of the knee provides greater visualization of intra-articular mineralization than radiographs and allows better localization of the crystal deposition within the joint. Further studies should focus on the co-localization of intra-articular crystal deposition and corresponding magnetic resonance imaging (MRI)-features of knee osteoarthritis (OA).
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Affiliation(s)
- M Jarraya
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - A Guermazi
- Department of Radiology, VA Healthcare System, Boston University School of Medicine, Boston, MA, USA
| | - J W Liew
- Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, USA
| | - I Tolstykh
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - J A Lynch
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - P Aliabadi
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - D T Felson
- Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, USA
| | - M Clancy
- Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, USA
| | - M Nevitt
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - C E Lewis
- Department of Epidemiology, University of Alabama at Birmingham, AL, USA
| | - J Torner
- Department of Epidemiology, College of Public Health, University of Iowa, IA, USA
| | - T Neogi
- Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, USA
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24
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Demehri S, Baffour FI, Klein JG, Ghotbi E, Ibad HA, Moradi K, Taguchi K, Fritz J, Carrino JA, Guermazi A, Fishman EK, Zbijewski WB. Musculoskeletal CT Imaging: State-of-the-Art Advancements and Future Directions. Radiology 2023; 308:e230344. [PMID: 37606571 PMCID: PMC10477515 DOI: 10.1148/radiol.230344] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/28/2023] [Accepted: 05/15/2023] [Indexed: 08/23/2023]
Abstract
CT is one of the most widely used modalities for musculoskeletal imaging. Recent advancements in the field include the introduction of four-dimensional CT, which captures a CT image during motion; cone-beam CT, which uses flat-panel detectors to capture the lower extremities in weight-bearing mode; and dual-energy CT, which operates at two different x-ray potentials to improve the contrast resolution to facilitate the assessment of tissue material compositions such as tophaceous gout deposits and bone marrow edema. Most recently, photon-counting CT (PCCT) has been introduced. PCCT is a technique that uses photon-counting detectors to produce an image with higher spatial and contrast resolution than conventional multidetector CT systems. In addition, postprocessing techniques such as three-dimensional printing and cinematic rendering have used CT data to improve the generation of both physical and digital anatomic models. Last, advancements in the application of artificial intelligence to CT imaging have enabled the automatic evaluation of musculoskeletal pathologies. In this review, the authors discuss the current state of the above CT technologies, their respective advantages and disadvantages, and their projected future directions for various musculoskeletal applications.
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Affiliation(s)
- Shadpour Demehri
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Francis I. Baffour
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Joshua G. Klein
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Elena Ghotbi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Hamza Ahmed Ibad
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Kamyar Moradi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Katsuyuki Taguchi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Jan Fritz
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - John A. Carrino
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Ali Guermazi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Elliot K. Fishman
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Wojciech B. Zbijewski
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
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Shi J, Huang H, Xu S, Du L, Zeng X, Cao Y, Liu D, Wang X, Zhang J. XGBoost-based multiparameters from dual-energy computed tomography for the differentiation of multiple myeloma of the spine from vertebral osteolytic metastases. Eur Radiol 2023; 33:4801-4811. [PMID: 36719494 DOI: 10.1007/s00330-023-09404-7] [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: 06/23/2022] [Revised: 12/23/2022] [Accepted: 01/02/2023] [Indexed: 02/01/2023]
Abstract
OBJECTIVES To evaluate the performance of extreme gradient boosting (XGBoost) combined with multiparameters from dual-energy computed tomography (mpDECT) to differentiate between multiple myeloma (MM) of the spine and vertebral osteolytic metastases (VOM). METHODS For this retrospective study, 28 patients (83 lesions) with MM of the spine and 23 patients (54 lesions) with VOM who underwent DECT were included. The mpDECT for each lesion, including normalized effective atomic number, slope of the spectral Hounsfield unit curve, CT attenuation, and virtual noncalcium (VNCa), was obtained. Boruta was used to select the key parameters, and then subsequently merged with XGBoost to yield a prediction model. The lesions were divided into the training and testing group in a 3:1 ratio. The highest performance of the univariate analysis was compared with XGBoost using the Delong test. RESULTS The mpDECT of MM was significantly lower than that of VOM (all p < 0.05). In univariate analysis, VNCa had the highest area under the receiver operating characteristic curve (AUC) in the training group (0.81) and testing group (0.87). Based on Boruta, 6 parameters of DECT were selected for XGBoost model construction. The XGBoost model achieved an excellent and stable diagnostic performance, as shown in the training group (AUC of 1.0) and testing group (AUC of 0.97), with a sensitivity of 80%, a specificity of 95%, and an accuracy of 88%, which was superior to VNCa (p < 0.05). CONCLUSIONS XGBoost combined with mpDECT yielded promising performance in differentiating between MM of the spine and VOM. KEY POINTS • The multiparameters obtained from dual-energy CT of multiple myeloma differed significantly from those of vertebral osteolytic metastases. • The virtual noncalcium offered the highest AUC in the univariate analysis to distinguish multiple myeloma from vertebral osteolytic metastases. • Extreme gradient boosting combined with multiparameters from dual-energy CT had a promising performance to distinguish multiple myeloma from vertebral osteolytic metastases.
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Affiliation(s)
- Jinfang Shi
- Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Shapingba District, No.181 Hanyu Road, Chongqing, 400030, China
| | - Haiping Huang
- Department of Pathology, Chongqing University Cancer Hospital, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, China
| | - Suqin Xu
- Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Shapingba District, No.181 Hanyu Road, Chongqing, 400030, China
| | - Lihong Du
- Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Shapingba District, No.181 Hanyu Road, Chongqing, 400030, China
| | - Xiangfei Zeng
- Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Shapingba District, No.181 Hanyu Road, Chongqing, 400030, China
| | - Ying Cao
- School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, China
| | - Daihong Liu
- Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Shapingba District, No.181 Hanyu Road, Chongqing, 400030, China
| | - Xiaoxia Wang
- Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Shapingba District, No.181 Hanyu Road, Chongqing, 400030, China.
| | - Jiuquan Zhang
- Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Shapingba District, No.181 Hanyu Road, Chongqing, 400030, China.
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Application of deep learning ultrasound imaging in monitoring bone healing after fracture surgery. JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES 2023. [DOI: 10.1016/j.jrras.2022.100493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Deppe D, Ziegeler K, Hermann KGA, Proft F, Poddubnyy D, Radny F, Makowski MR, Muhle M, Diekhoff T. Dual-Energy-CT for Osteitis and Fat Lesions in Axial Spondyloarthritis: How Feasible Is Low-Dose Scanning? Diagnostics (Basel) 2023; 13:diagnostics13040776. [PMID: 36832264 PMCID: PMC9955853 DOI: 10.3390/diagnostics13040776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND To assess the ability of low-dose dual-energy computed tomography (ld-DECT) virtual non-calcium (VNCa) images for detecting bone marrow pathologies of the sacroiliac joints (SIJs) in patients with axial spondyloarthritis (axSpA). Material and Methods: Sixty-eight patients with suspected or proven axSpA underwent ld-DECT and MRI of the SIJ. VNCa images were reconstructed from DECT data and scored for the presence of osteitis and fatty bone marrow deposition by two readers with different experience (beginner and expert). Diagnostic accuracy and correlation (Kohen's k) with magnetic resonance imaging (MRI) as the reference standard were calculated for the overall and for each reader separately. Furthermore, quantitative analysis was performed using region-of-interest (ROI) analysis. Results: Twenty-eight patients were classified as positive for osteitis, 31 for fatty bone marrow deposition. DECT's sensitivity (SE) and specificity (SP) were 73.3% and 44.4% for osteitis and 75% and 67.3% for fatty bone lesions, respectively. The expert reader achieved higher diagnostic accuracy for both osteitis (SE 93.33%; SP: 51.85%) and fatty bone marrow deposition (SE: 65%; SP: 77.55%) than the beginner (SE: 26.67%; SP: 70.37% for osteitis; SE: 60%; SP: 44.9% for fatty bone marrow deposition). Overall correlation with MRI was moderate (r = 0.25, p = 0.04) for osteitis and fatty bone marrow deposition (r = 0.25, p = 0.04). Fatty bone marrow attenuation in VNCa images (mean: -129.58 HU; ±103.61 HU) differed from normal bone marrow (mean: 118.84 HU, ±99.91 HU; p < 0.01) and from osteitis (mean: 172 HU, ±81.02 HU; p < 0.01) while osteitis did not differ significantly from normal bone marrow (p = 0.27). Conclusion: In our study, low-dose DECT failed to detect osteitis or fatty lesions in patients with suspected axSpA. Thus, we conclude that higher radiation might be needed for DECT-based bone marrow analysis.
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Affiliation(s)
- Dominik Deppe
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Katharina Ziegeler
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Kay Geert A. Hermann
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Fabian Proft
- Department of Gastroenterology, Infectiology and Rheumatology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Denis Poddubnyy
- Department of Gastroenterology, Infectiology and Rheumatology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Felix Radny
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Marcus R. Makowski
- Department of Radiology, University Hospital Rechts der Isar, Technical University Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Maximilian Muhle
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Torsten Diekhoff
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany
- Correspondence: ; Tel.: +49-30-450-627-176; Fax: +49-30-450-7-527941
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Abdellatif W, Nugent JP, Alballa F, Murray N, Jalal S, Ali IT, Nicolaou S. Dual Energy Computed Tomography Collagen Material Decomposition for Detection of Lumbar Spine Disc Extrusion and Sequestration: A Comparative Study With Greyscale Computed Tomography. Can Assoc Radiol J 2023; 74:110-118. [PMID: 35948996 DOI: 10.1177/08465371221118886] [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] [Indexed: 01/11/2023] Open
Abstract
Purpose: To assess value of dual energy computed tomography (DECT) collagen material decomposition algorithm when combined with standard computed tomography (CT) in detection of lumbar disc extrusion and sequestration. Materials and Methods: Retrospective analysis of all patients with acute low back pain who had a diagnosis of lumbar spine disc extrusion and/or sequestration on Magnetic Resonance Imaging (MRI) (reference standard), and had undergone non-contrast DECT of the lumbar spine within 60 days of the MRI. Age and sex-matched control patients (n = 42) were included. Patients were grouped into standard, grey-scale CT only group and standard CT + DECT tendon images group. Two double-blinded radiologists reviewed both groups for presence of extrusion or sequestration. They also rated their diagnostic confidence on Likert 5-point scale. McNemar Chi-square test was used to compare diagnostic accuracy, unpaired t-test to compare reviewers diagnostic confidence, and Cohen's k (kappa) test for interobserver agreement. Results: The combined group showed higher overall sensitivity (96.6% vs 87.2%), specificity (99% vs 95.4%), and diagnostic accuracy (98.7% vs 94.5%) with a lower false positive rate (1.1% vs 4.6%). McNemar Chi-square test confirmed statistical significance (P = .03 and P = .02 for Reviewers R1 and R2, respectively). The mean diagnostic confidence was also significantly higher on combined group (R1: 3.74 ± 1.1 vs 3.47 ± 1.15 (P < .01) and R2: 3.91 ± 1.15 vs 3.72 ± 1.16 [mean ± SD] (P = .02)). Conclusion: Utilizing MRI as a reference standard, DECT tendon application combined with standard CT increases the sensitivity, specificity, and accuracy of detection of lumbar spine disc extrusion and sequestration, when compared to standard CT alone.
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Affiliation(s)
- Waleed Abdellatif
- Department of Radiology, 12334UT Southwestern Medical Center, Dallas, TX, USA
| | - James P Nugent
- Department of Radiology, 8167University of British Columbia/Vancouver General Hospital, Vancouver, BC, Canada
| | - Faisal Alballa
- Department of Radiology, 37852King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Nicolas Murray
- Department of Radiology, 8167University of British Columbia/Vancouver General Hospital, Vancouver, BC, Canada
| | - Sabeena Jalal
- Department of Radiology, 8167Vancouver General Hospital, Vancouver, BC, Canada
| | - Ismail T Ali
- Department of Radiology, 8167University of British Columbia/Vancouver General Hospital, Vancouver, BC, Canada
| | - Savvas Nicolaou
- Department of Radiology, 8167Vancouver General Hospital, Vancouver, BC, Canada
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Yoon H, Kang Y, Kim HJ, Lee E, Ahn JM, Lee JW. Dual-layer spectral detector CT arthrography of the shoulder: assessment of image quality and value in differentiating calcium from iodine. Acta Radiol 2023; 64:638-647. [PMID: 35300534 DOI: 10.1177/02841851221087991] [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] [Indexed: 11/17/2022]
Abstract
BACKGROUND Dual-layer spectral detector computed tomography (DLCT) may potentially improve CT arthrography through enhanced image quality and analysis of the chemical composition of tissue. PURPOSE To evaluate the image quality of monoenergetic reconstructions from DLCT arthrography of the shoulder and assess the additional diagnostic value in differentiating calcium from iodine. MATERIAL AND METHODS Images from consecutive shoulder DLCT arthrography examinations performed between December 2016 and February 2018 were retrospectively reviewed for hyperattenuating lesions within the labrum and tendons. The mean attenuation of the target lesion, noise, contrast-to-noise ratio (CNR), and signal-to-noise ratio (SNR) of the virtual monoenergetic images obtained at 40-200 keV were compared with conventional 140-kVp images. Two evaluators independently classified each target lesion as contrast media or calcification, without and with DLCT spectral data. Receiver operating curve (ROC) analysis was performed to assess the diagnostic performance of shoulder DLCT arthrography, without and with the aid of spectral data. RESULTS The study included 20 target lesions (18 DLCT arthrography examinations of 17 patients). The SNRs of the monoenergetic images at 40-60 keV were significantly higher than those of conventional images (P < 0.05). The CNRs of the monoenergetic images at 40-70 keV were significantly higher than those of conventional images (P < 0.001). The ability to differentiate calcium from iodine, without and with DLCT spectral data, did not significantly differ (P = 0.441 and P = 0.257 for reviewers 1 and 2, respectively). CONCLUSION DLCT had no additive value in differentiating calcium from iodine in small, hyperattenuating lesions in the labrum and tendons.
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Affiliation(s)
- Hyeyoung Yoon
- Department of Radiology, 65462Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Yusuhn Kang
- Department of Radiology, 65462Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Hyo Jin Kim
- Department of Radiology, 65462Seoul National University Bundang Hospital, Seongnam, Republic of Korea.,Department of Radiology, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, 65633Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Eugene Lee
- Department of Radiology, 65462Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Joong Mo Ahn
- Department of Radiology, 65462Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Joon Woo Lee
- Department of Radiology, 65462Seoul National University Bundang Hospital, Seongnam, Republic of Korea
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Zheng WY, Zhan WF, Wang JY, Deng WM, Hung YK, Wang W, Jiang GH. Detailed analysis of the association between urate deposition and bone erosion in gout: a dual-energy computed tomography study. Front Endocrinol (Lausanne) 2023; 14:1167756. [PMID: 37143721 PMCID: PMC10153093 DOI: 10.3389/fendo.2023.1167756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 03/24/2023] [Indexed: 05/06/2023] Open
Abstract
Objective This study aimed to analyze the effect of urate deposition (UD) on bone erosion and examine the association between the volume of monosodium urate (MSU) crystals and an improved bone erosion score method, as measured in the metatarsophalangeal (MTP) joints of patients with gout. Materials and methods Fifty-six patients diagnosed with gout using the 2015 European League Against Rheumatism and American College of Rheumatology criteria were enrolled. MSU crystals volume at each MTP joint was measured using dual-energy computed tomography (DECT) images. The degree of bone erosion was evaluated with the modified Sharp/van der Heijde (SvdH) erosion scoring system based on CT images. Differences in clinical features between patients with (UD group) and without (non-UD group) UD were assessed, and the correlation between erosion scores and urate crystal volume was analyzed. Results The UD and non-UD groups comprised 30 and 26 patients, respectively. Among the 560 MTP joints assessed, 80 showed MSU crystal deposition, and 108 showed bone erosion. Bone erosion occurred in both groups but was significantly less severe in the non-UD group (p <0.001). Both groups had equivalent levels of serum uric acid (p=0.200). Symptom duration was significantly longer in the UD group (p=0.009). The UD group also had a higher rate of kidney stones (p=0.023). The volume of MSU crystals was strongly and positively associated with the degree of bone erosion (r=0.714, p <0.001). Conclusion This study found that patients with UD show significant increased bone erosion than those without UD. The volume of MSU crystals is associated with the improved SvdH erosion score based on CT images, regardless of serum uric acid level, demonstrating the potential of combining DECT and serum uric acid measurements in helping optimize the management of patients with gout.
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Affiliation(s)
- Wan-Yi Zheng
- Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China
| | - Wen-Feng Zhan
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | | | - Wei-Ming Deng
- Department of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yu-Kai Hung
- Department of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Wei Wang
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Gui-Hua Jiang
- Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China
- *Correspondence: Gui-Hua Jiang,
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Advances in Bone Joint Imaging-Metal Artifact Reduction. Diagnostics (Basel) 2022; 12:diagnostics12123079. [PMID: 36553086 PMCID: PMC9776622 DOI: 10.3390/diagnostics12123079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/01/2022] [Accepted: 12/04/2022] [Indexed: 12/12/2022] Open
Abstract
Numerous types of metal implants have been introduced in orthopedic surgery and are used in everyday practice. To precisely evaluate the postoperative condition of arthroplasty or trauma surgery, periprosthetic infection, and the loosening of implants, it is important to reduce artifacts induced by metal implants. In this review, we focused on technical advances in metal artifact reduction using digital tomosynthesis, computed tomography, and magnetic resonance imaging. We discussed new developments in diagnostic imaging methods and the continuous introduction of novel technologies to reduce metal artifacts; however, these innovations have not yet completely removed metal artifacts. Different algorithms need to be selected depending on the size, shape, material and implanted body parts of an implant. Future advances in metal artifact reduction algorithms and techniques and the development of new sequences may enable further reductions in metal artifacts even on original images taken previously. Moreover, the combination of different imaging modalities may contribute to further reductions in metal artifacts. Clinicians must constantly update their knowledge and work closely with radiologists to select the best diagnostic imaging method for each metal implant.
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Wittig TM, Ziegeler K, Kreutzinger V, Golchev M, Ponsel S, Diekhoff T, Ulas ST. Dual-Energy Computed Tomography Collagen Density Mapping of the Cranio-Cervical Ligaments-A Retrospective Feasibility Study. Diagnostics (Basel) 2022; 12:diagnostics12122966. [PMID: 36552973 PMCID: PMC9776840 DOI: 10.3390/diagnostics12122966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/20/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
The objectives of this study were to investigate the mean collagen content of the atlanto-axial joint (AAJ) ligaments in a cohort without inflammatory disease and to analyze clinical confounders such as age, sex, and presence of ligamentous calcifications. A total of 153 patients who underwent dual-energy computed tomography (DECT) due to various reasons (e.g., suspected cancer or infection) were included in this retrospective study. Reconstruction of collagen density maps from the DECT dataset was performed. Region of interest (ROI) analysis was performed to assess densities in the following regions: ligamentum transversum atlantis (LTA), ligamenta alaria, fasciculi longitudinales, ligamentum nuchae, and retro-odontoid soft tissue (RDS). Osteoarthritis (OA) and the presence of calcifications were assessed by two experienced readers blinded to clinical data. Subgroup comparisons were performed using unpaired t-tests. The correlation of collagen density and clinical factors was investigated using Pearson's correlation coefficient. Mean LTA collagen density was 141.7 (SD 35.7). Ligamentous calcifications were rare (14.4 %). OA of the AAJ was common (91.5 %). LTA collagen density was not associated with age (Pearson's r of 0.109; p = 0.180) and was not significantly higher in patients with OA (p = 0.070). No correlations between RDS thickness, collagen density or calcifications were found. Our results show collagen density mapping of the cranio-cervical joint ligaments to be feasible; collagen densities are not significantly associated with age, sex, AAJ degeneration, or asymptomatic ligamentous calcification.
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Affiliation(s)
- Thomas Matthias Wittig
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Katharina Ziegeler
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Virginie Kreutzinger
- Department of Radiology, Vivantes Klinikum im Friedrichshain, 10249 Berlin, Germany
| | - Milen Golchev
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Simon Ponsel
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Torsten Diekhoff
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Sevtap Tugce Ulas
- Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
- Correspondence: ; Tel.: +49-30-450-627044
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Kanani A, Yazdi M, Owrangi AM, Karbasi S, Mosleh-Shirazi MA. Metal artifact reduction in cervix brachytherapy with titanium applicators using dual-energy CT through virtual monoenergetic images and an iterative algorithm: A phantom study. Brachytherapy 2022; 21:933-942. [PMID: 35933273 DOI: 10.1016/j.brachy.2022.07.003] [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: 04/06/2022] [Revised: 06/16/2022] [Accepted: 07/02/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE To evaluate an iterative metal-artifact reduction (iMAR) algorithm, dual-energy CT (DECT) through virtual monoenergetic images (VMI), and a combination of iMAR and DECT for reducing metal artifact severity (AS) induced by Fletcher titanium applicators used in cervix brachytherapy, the efficacy of which are hitherto unreported. METHODS AND MATERIALS 120 kVp single-energy CT (SECT) (Siemens) of BEBIG tandem applicators, varying in shape (straight or curved) and diameter (3.5 mm or 5 mm) in a custom-made water-filled phantom, and their DECT images obtained from extrapolation of 80 kVp and 140 kVp, were reconstructed using four methods: DECT through VMI±iMAR, and SECT±iMAR. The DECT images were reconstructed monoenergetically at 70, 150, and 190 keV. AS was evaluated using measured values and statistical analysis. RESULTS iMAR, DECT, and combined DECT and iMAR reduced AS (p < 0.05). DECT had a lower AS than SECT, even without iMAR (p < 0.025). SECT+iMAR was more effective than DECT-iMAR with VMI at 70 and 190 keV (p < 0.05), whereas showing no statistically significant difference at 150 keV. With DECT and iMAR combined, AS was reduced more effectively compared to the SECT+iMAR or DECT alone. It also reduced the mean interobserver uncertainty by 0.2 mm. CONCLUSIONS These findings indicate that iMAR reduces the AS caused by Fletcher titanium applicators for both SECT and DECT, a combination of iMAR and DECT is superior to either strategy alone, and at low energies, DECT+iMAR also produces similar artifact reduction. These practical strategies promise more accurate source-position and structure definitions in CT-based gynecological brachytherapy treatment planning.
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Affiliation(s)
- Abolfazl Kanani
- Ionizing and Non-Ionizing Radiation Protection Research Center (INIRPRC), School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mehran Yazdi
- Signal and Image Processing Lab. (SIPL), School of Electrical and Computer Eng., Shiraz University, Shiraz, Iran
| | - Amir M Owrangi
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX
| | - Sareh Karbasi
- Physics Unit, Department of Radio-oncology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Amin Mosleh-Shirazi
- Ionizing and Non-Ionizing Radiation Protection Research Center (INIRPRC), School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran; Physics Unit, Department of Radio-oncology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
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Yoo HJ, Hong SH, Choi JY, Chae HD. Comparison of Metal Artifact Reduction Algorithms in Patients with Hip Prostheses: Virtual Monoenergetic Images vs. Orthopedic Metal Artifact Reduction. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2022; 83:1286-1297. [PMID: 36545406 PMCID: PMC9748456 DOI: 10.3348/jksr.2021.0130] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/12/2021] [Accepted: 12/14/2021] [Indexed: 12/24/2022]
Abstract
Purpose To assess the usefulness of various metal artifact reduction (MAR) methods in patients with hip prostheses. Materials and Methods This retrospective study included 47 consecutive patients who underwent hip arthroplasty and dual-energy CT. Conventional polyenergetic image (CI), orthopedic-MAR (O-MAR), and virtual monoenergetic image (VMI, 50-200 keV) were tested for MAR. Quantitative analysis was performed in seven regions around the prostheses. Qualitative assessments included evaluation of the degree of artifacts and the presence of secondary artifacts. Results The lowest amount of image noise was observed in the O-MAR, followed by the VMI. O-MAR also showed the lowest artifact index, followed by high-keV VMI in the range of 120-200 keV (soft tissue) or 200 keV (bone). O-MAR had the highest contrast-to-noise ratio (CNR) in regions with severe hypodense artifacts, while VMI had the highest CNR in other regions, including the periprosthetic bone. On assessment of the CI of pelvic soft tissues, VMI showed a higher structural similarity than O-MAR. Upon qualitative analysis, metal artifacts were significantly reduced in O-MAR, followed by that in VMI, while secondary artifacts were the most frequently found in the O-MAR (p < 0.001). Conclusion O-MAR is the best technique for severe MAR, but it can generate secondary artifacts. VMI at high keV can be advantageous for evaluating periprosthetic bone.
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Zhou S, Chen S, Zhu X, You T, Li P, Shen H, Gao H, He Y, Zhang K. Associations between paraspinal muscles fatty infiltration and lumbar vertebral bone mineral density - An investigation by fast kVp switching dual-energy CT and QCT. Eur J Radiol Open 2022; 9:100447. [PMID: 36277658 PMCID: PMC9579482 DOI: 10.1016/j.ejro.2022.100447] [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: 05/29/2022] [Revised: 10/09/2022] [Accepted: 10/11/2022] [Indexed: 10/27/2022] Open
Abstract
Purpose To investigate the relationship between paraspinal muscles fat content and lumbar bone mineral density (BMD). Methods A total of 119 participants were enrolled in our study (60 males, age: 50.88 ± 17.79 years, BMI: 22.80 ± 3.80 kg·m-2; 59 females, age: 49.41 ± 17.69 years, BMI: 22.22 ± 3.12 kg·m-2). Fat content of paraspinal muscles (erector spinae (ES), multifidus (MS), and psoas (PS)) were measured at (ES L1/2-L4/5; MS L2/3-L5/S1; PS L2/3-L5/S1) levels using dual-energy computed tomography (DECT). Quantitative computed tomography (QCT) was used to assess BMD of L1 and L2. Linear regression analysis was used to assess the relationship between BMD of the lumbar spine and paraspinal muscles fat content with age, sex, and BMI. The variance inflation factor (VIF) was used to detect the degree of multicollinearity among the variables. P < .05 was considered to indicate a statistically significant difference. Results The paraspinal muscles fat content had a fairly significant inverse association with lumbar BMD after controlling for age, sex, and BMI (adjusted R 2 = 0.584-0.630, all P < .05). Conclusion Paraspinal muscles fat content was negatively associated with BMD.Paraspinal muscles fatty infiltration may be considered as a potential marker to identify BMD loss.
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Key Words
- ASiR-V, Adaptive statistical iterative reconstruction-Veo
- BIA, Bioimpedance analysis
- BMD, Bone mineral density
- Bone density
- CNR, Contrast-to-noise ratio
- DECT, Dual-energy computed tomography
- DXA, Dual-energy x-ray absorptiometry
- EMCL, extramyocellular lipids
- ES, Erector spinae
- FF, fat fraction
- FI %, Fatty infiltration ratio
- FM, Fat mass
- GSI, Gemstone spectral imaging
- IMCL, intramyocellular lipids
- LM, Lean mass
- MD, Material decomposition
- MRI, Magnetic resonance imaging
- MS, Multifidus
- MSK, Musculoskeletal
- Osteoporosis
- PDFF, Proton density fat fractions
- PS, Psoas
- Paraspinal muscles
- QCT, Quantitative computed tomography
- Tomography
- VIF, Variance inflation factor
- X-Ray computed
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Affiliation(s)
- Shuwei Zhou
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China,The College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, 300 Xueshi Road, Yuelu District, Changsha 410208, PR China
| | - Suping Chen
- GE Healthcare (Shanghai) Co., Ltd., Shanghai 201203, PR China
| | - Xu Zhu
- The College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, 300 Xueshi Road, Yuelu District, Changsha 410208, PR China
| | - Tian You
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China
| | - Ping Li
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China
| | - Hongrong Shen
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China
| | - Hui Gao
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China
| | - Yewen He
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China
| | - Kun Zhang
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China,The College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, 300 Xueshi Road, Yuelu District, Changsha 410208, PR China,Corresponding author at: Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007 PR China.
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Li Y, Younis MH, Wang H, Zhang J, Cai W, Ni D. Spectral computed tomography with inorganic nanomaterials: State-of-the-art. Adv Drug Deliv Rev 2022; 189:114524. [PMID: 36058350 PMCID: PMC9664656 DOI: 10.1016/j.addr.2022.114524] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/09/2022] [Accepted: 08/27/2022] [Indexed: 01/24/2023]
Abstract
Recently, spectral computed tomography (CT) technology has received great interest in the field of radiology. Spectral CT imaging utilizes the distinct, energy-dependent X-ray absorption properties of substances in order to provide additional imaging information. Dual-energy CT and multi-energy CT (Spectral CT) are capable of constructing monochromatic energy images, material separation images, energy spectrum curves, constructing effective atomic number maps, and more. However, poor contrast, due to neighboring X-ray attenuation of organs and tissues, is still a challenge to spectral CT. Hence, contrast agents (CAs) are applied for better differentiation of a given region of interest (ROI). Currently, many different kinds of inorganic nanoparticulate CAs for spectral CT have been developed due to the limitations of clinical iodine (I)-based contrast media, leading to the conclusion that inorganic nanomedicine applied to spectral CT will be a powerful collaboration both in basic research and in clinics. In this review, the underlying principles and types of spectral CT techniques are discussed, and some evolving clinical diagnosis applications of spectral CT techniques are introduced. In particular, recent developments in inorganic CAs used for spectral CT are summarized. Finally, the challenges and future developments of inorganic nanomedicine in spectral CT are briefly discussed.
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Affiliation(s)
- Yuhan Li
- School of Medicine, Shanghai University, No. 99 Shangda Rd, Shanghai 200444, PR China
| | - Muhsin H Younis
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, WI 53705, United States
| | - Han Wang
- Department of Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Rd, Shanghai 200025, PR China
| | - Jian Zhang
- School of Medicine, Shanghai University, No. 99 Shangda Rd, Shanghai 200444, PR China; Shanghai Universal Medical Imaging Diagnostic Center, Bldg 8, No. 406 Guilin Rd, Shanghai 200233, PR China.
| | - Weibo Cai
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, WI 53705, United States.
| | - Dalong Ni
- Department of Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Rd, Shanghai 200025, PR China.
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Utility of dual energy computed tomography in the evaluation of infiltrative skeletal lesions and metastasis: a literature review. Skeletal Radiol 2022; 51:1731-1741. [PMID: 35294599 DOI: 10.1007/s00256-022-04032-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 03/07/2022] [Accepted: 03/07/2022] [Indexed: 02/02/2023]
Abstract
Computed tomography (CT) is routinely used to diagnose and evaluate metastatic lesions in oncology. CT alone suffers from lack of sensitivity, especially for skeletal lesions in the bone marrow and lesions that have similar attenuation profiles to surrounding bone. Magnetic resonance imaging and nuclear medicine imaging remain the gold standard in evaluating skeletal lesions. However, compared to CT, these modalities are not as widely available or suitable for all patients. Dual energy computed tomography (DECT) exploits variations in linear attenuation coefficient of materials at different photon energy levels to reconstruct images based on material composition. DECT in musculoskeletal imaging is used in the imaging of crystal arthropathy and detecting subtle fractures, but it is not broadly utilized in evaluating infiltrative skeletal lesions. Malignant skeletal lesions have different tissue and molecular compositions compared to normal bone. DECT may exploit these physical differences to delineate infiltrative skeletal lesions from surrounding bone better than conventional monoenergetic CT. Studies so far have examined the utility of DECT in evaluating skeletal metastases, multiple myeloma lesions, pathologic fractures, and performing image-guided biopsies with promising results. These studies were mostly retrospective analyses and case reports containing small samples sizes. As DECT becomes more widely used clinically and more scientific studies evaluating the performance of DECT are published, DECT may eventually become an important modality in the work-up of infiltrative skeletal lesions. It may even challenge MRI and nuclear medicine because of relatively faster scanning times and ease of access.
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Virtual CT Myelography: A Patch-Based Machine Learning Model to Improve Intraspinal Soft Tissue Visualization on Unenhanced Dual-Energy Lumbar Spine CT. INFORMATION 2022. [DOI: 10.3390/info13090412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background: Distinguishing between the spinal cord and cerebrospinal fluid (CSF) non-invasively on CT is challenging due to their similar mass densities. We hypothesize that patch-based machine learning applied to dual-energy CT can accurately distinguish CSF from neural or other tissues based on the center voxel and neighboring voxels. Methods: 88 regions of interest (ROIs) from 12 patients’ dual-energy (100 and 140 kVp) lumbar spine CT exams were manually labeled by a neuroradiologist as one of 4 major tissue types (water, fat, bone, and nonspecific soft tissue). Four-class classifier convolutional neural networks were trained, validated, and tested on thousands of nonoverlapping patches extracted from 82 ROIs among 11 CT exams, with each patch representing pixel values (at low and high energies) of small, rectangular, 3D CT volumes. Different patch sizes were evaluated, ranging from 3 × 3 × 3 × 2 to 7 × 7 × 7 × 2. A final ensemble model incorporating all patch sizes was tested on patches extracted from six ROIs in a holdout patient. Results: Individual models showed overall test accuracies ranging from 99.8% for 3 × 3 × 3 × 2 patches (N = 19,423) to 98.1% for 7 × 7 × 7 × 2 patches (N = 1298). The final ensemble model showed 99.4% test classification accuracy, with sensitivities and specificities of 90% and 99.6%, respectively, for the water class and 98.6% and 100% for the soft tissue class. Conclusions: Convolutional neural networks utilizing local low-level features on dual-energy spine CT can yield accurate tissue classification and enhance the visualization of intraspinal neural tissue.
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Virtual Monochromatic Images from Dual-Energy Computed Tomography Do Not Improve the Detection of Synovitis in Hand Arthritis. Diagnostics (Basel) 2022; 12:diagnostics12081891. [PMID: 36010241 PMCID: PMC9406820 DOI: 10.3390/diagnostics12081891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/02/2022] [Accepted: 08/03/2022] [Indexed: 11/17/2022] Open
Abstract
The objective of this study was to investigate subtraction images from different polychromatic and virtual monochromatic reconstructions of dual-energy computed tomography (CT) for the detection of inflammation (synovitis/tenosynovitis or peritendonitis) in patients with hand arthritis. In this IRB-approved prospective study, 35 patients with acute hand arthritis underwent contrast-enhanced dual-energy CT and musculoskeletal ultrasound (MSUS) of the clinically dominant hand. CT subtractions (CT-S) were calculated from 80 and 135 kVp source data and monochromatic 50 and 70 keV images. CT-S and MSUS were scored for synovitis and tenosynovitis/peritendonitis. Specificity, sensitivity and diagnostic accuracy were assessed by using MSUS as a reference. Parameters of objective image quality were measured. Thirty-three patients were analyzed. MSUS was positive for synovitis and/or tenosynovitis/peritendonitis in 28 patients. The 70 keV images had the highest diagnostic accuracy, with 88% (vs. 50 keV, 82%; 80 kVp, 85%; and 135 kVp, 82%), and superior sensitivity, with 96% (vs. 50 keV: 86%, 80 kVp: 93% and 135 kVp: 79%). The 80 kVp images showed the highest signal- and contrast-to-noise ratio, while the 50 keV images provided the lowest image quality. While all subtraction methods of contrast-enhanced dual-energy CT proved to be able to detect inflammation with sufficient diagnostic accuracy, virtual monochromatic images with low keV showed no significant improvement over conventional subtraction techniques and lead to a loss of image quality.
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Cheraya G, Sharma S, Chhabra A. Dual energy CT in musculoskeletal applications beyond crystal imaging: bone marrow maps and metal artifact reduction. Skeletal Radiol 2022; 51:1521-1534. [PMID: 35112139 DOI: 10.1007/s00256-021-03979-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 12/14/2021] [Accepted: 12/15/2021] [Indexed: 02/02/2023]
Abstract
Dual energy CT (DECT) is becoming increasingly popular and valuable in the domain of musculoskeletal imaging. Gout maps and crystal detection have been predominant indications for about a decade. Other important indications of bone marrow maps and metal artifact reduction are also frequent with added advantages of detection and characterization of bone marrow lesions similar to MR imaging and diagnosis of hardware related complications, respectively. This article discusses technical considerations and physics of DECT imaging and its role in musculoskeletal indications apart from crystal imaging with respective case examples and review of the related literature. DECT pitfalls in these domains are also highlighted and the reader can gain knowledge of above concepts for prudent use of DECT in their musculoskeletal and general practices.
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Affiliation(s)
| | - Salil Sharma
- Mary Imogene Bassett Hospital, Cooperstown, NY, USA
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Xu C, Kong L, Deng X. Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands. Front Oncol 2022; 12:815955. [PMID: 35903682 PMCID: PMC9315104 DOI: 10.3389/fonc.2022.815955] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 06/09/2022] [Indexed: 11/23/2022] Open
Abstract
Objective The objective of our study was to evaluate the utility of Rho/Z on dual-energy computed tomography (DECT) for the differentiation of osteoblastic metastases (OBMs) from bone islands (BIs). Methods DECT images of 110 patients with malignancies were collected. The effective atomic number (Z), electron density (Rho), dual energy index (DEI), and regular CT (rCT) values were measured by two observers. Independent-sample t-test was used to compare these values between OBMs and BIs. The diagnostic performance was assessed by receiver operating characteristic (ROC) analysis and the cutoff values were evaluated according to ROC curves. Results A total of 205 OBMs and 120 BIs were included. The mean values of Z, Rho, DEI, and rCT of OBMs were significantly lower than those of BIs, whereas the standard deviation values were higher than those of BIs (all p ≤ 0.05). ROC analysis showed that 11.86 was the optimal cutoff value for Z, rendering an area under the ROC curve (AUC) of 0.91, with a sensitivity of 91.2% and a specificity of 82.5%. Conclusion DECT can provide quantitative values of Z, Rho, and DEI and has good performance in differentiating between OBMs and BIs.
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Koch V, Albrecht MH, Gruenewald LD, Yel I, Eichler K, Gruber-Rouh T, Hammerstingl RM, Burck I, Wichmann JL, Alizadeh LS, Vogl TJ, Lenga L, Wesarg S, Martin SS, Mader C, Dimitrova M, D'Angelo T, Booz C. Impact of Intravenously Injected Contrast Agent on Bone Mineral Density Measurement in Dual-Source Dual-Energy CT. Acad Radiol 2022; 29:880-887. [PMID: 34266738 DOI: 10.1016/j.acra.2021.06.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/07/2021] [Accepted: 06/11/2021] [Indexed: 12/01/2022]
Abstract
PURPOSE To assess the influence of intravenously injected contrast agent on bone mineral density (BMD) assessment in dual-source dual-energy CT. METHODS This retrospective study included 1,031 patients (mean age, 53 ± 7 years; 519 women) who had undergone third-generation dual-source dual-energy CT in context of tumor staging between January 2019 and December 2019. Dedicated postprocessing software based on material decomposition was used for phantomless volumetric BMD assessment of trabecular bone of the lumbar spine. Volumetric trabecular BMD values derived from unenhanced and contrast-enhanced portal venous phase were compared by calculating correlation and agreement analyses using Pearson product-moment correlation, linear regression, and Bland-Altman plots. RESULTS Mean BMD values were 115.53 ± 37.23 and 116.10 ± 37.78 mg/cm3 in unenhanced and contrast-enhanced dual-energy CT series, respectively. Values from contrast-enhanced portal venous phase differed not significantly from those of the unenhanced phase (p = 0.44) and showed high correlation (r = 0.971 [95% CI, 0.969-0.973]) with excellent agreement in Bland-Altman plots. Mean difference of the two phases was 0.61 mg/cm3 (95% limits of agreement, -17.14 and 18.36 mg/cm3). CONCLUSION Portal venous phase dual-source dual-energy CT allows for accurate opportunistic BMD assessment of trabecular bone of the lumbar spine compared to unenhanced imaging. Therefore, dual-source CT may provide greater flexibility regarding BMD assessment in clinical routine and reduce radiation exposure by avoiding additional osteodensitometry examinations, as contrast-enhanced CT scans in context of tumor staging are increasingly performed in dual-energy mode.
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Affiliation(s)
- Vitali Koch
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Moritz H Albrecht
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leon D Gruenewald
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Renate M Hammerstingl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Iris Burck
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Julian L Wichmann
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leona S Alizadeh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Lukas Lenga
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Stefan Wesarg
- Fraunhofer IGD, Cognitive Computing & Medical Imaging, Darmstadt, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christoph Mader
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Mirela Dimitrova
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
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Affiliation(s)
- Lauren Glick
- From the Department of Medicine, Sinai Health System and University Health Network (L.G., A.S.D., R.P.R.), the Joint Department of Medical Imaging (L.A.F.), the Department of Medicine (L.G., A.S.D., R.P.R.), and Institute of Health Policy, Management and Evaluation (A.S.D.), University of Toronto, and the Division of Rheumatology, Salvation Army Toronto Grace Health Centre (R.P.R.) - all in Toronto
| | - Laura A Fitzpatrick
- From the Department of Medicine, Sinai Health System and University Health Network (L.G., A.S.D., R.P.R.), the Joint Department of Medical Imaging (L.A.F.), the Department of Medicine (L.G., A.S.D., R.P.R.), and Institute of Health Policy, Management and Evaluation (A.S.D.), University of Toronto, and the Division of Rheumatology, Salvation Army Toronto Grace Health Centre (R.P.R.) - all in Toronto
| | - Allan S Detsky
- From the Department of Medicine, Sinai Health System and University Health Network (L.G., A.S.D., R.P.R.), the Joint Department of Medical Imaging (L.A.F.), the Department of Medicine (L.G., A.S.D., R.P.R.), and Institute of Health Policy, Management and Evaluation (A.S.D.), University of Toronto, and the Division of Rheumatology, Salvation Army Toronto Grace Health Centre (R.P.R.) - all in Toronto
| | - Raphael P Rush
- From the Department of Medicine, Sinai Health System and University Health Network (L.G., A.S.D., R.P.R.), the Joint Department of Medical Imaging (L.A.F.), the Department of Medicine (L.G., A.S.D., R.P.R.), and Institute of Health Policy, Management and Evaluation (A.S.D.), University of Toronto, and the Division of Rheumatology, Salvation Army Toronto Grace Health Centre (R.P.R.) - all in Toronto
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Diagnostic accuracy of dual-energy computed tomography (DECT) to detect non-traumatic bone marrow edema: a systematic review and meta-analysis. Eur J Radiol 2022; 153:110359. [DOI: 10.1016/j.ejrad.2022.110359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 04/13/2022] [Accepted: 05/04/2022] [Indexed: 11/21/2022]
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Ditges AK, Diekhoff T, Engelhard N, Muellner M, Pumberger M, Schömig F. Neuroforamen stenosis remains a challenge in conventional computed tomography and new dual-energy techniques. Sci Rep 2022; 12:6678. [PMID: 35461368 PMCID: PMC9035174 DOI: 10.1038/s41598-022-10673-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 04/04/2022] [Indexed: 12/01/2022] Open
Abstract
Lumbar foraminal stenosis may be caused by osseous and soft tissue structures. Thus, both computed tomography (CT) and magnetic resonance imaging (MRI) play a role in the diagnostic algorithm. Recently, dual-energy CT (DECT) has been introduced for the detection of spinal disorders. Our study’s aim was to investigate the diagnostic accuracy of collagen-sensitive maps derived from DECT in detecting lumbar foraminal stenosis compared with standard CT and MRI. We retrospectively reviewed CT, DECT, and MRI datasets in patients with vertebral fractures between January 2015 and February 2017. Images were scored for presence and type of lumbar neuroforaminal stenosis. Contingency tables were calculated to determine diagnostic accuracy and interrater agreement was evaluated. 612 neuroforamina in 51 patients were included. Intraclass correlation coefficients for interrater reliability in detecting foraminal stenoses were 0.778 (95%-CI 0.643–0.851) for DECT, 0.769 (95%-CI 0.650–0.839) for CT, and 0.820 (95%-CI 0.673–0.888) for MRI. Both DECT and conventional CT showed good diagnostic accuracy in detecting lumbar foraminal stenosis but low sensitivities in detecting discoid stenosis. Thus, even though previous studies suggest that DECT has high diagnostic accuracy in assessing lumbar disc pathologies, we show that DECT does not provide additional information for detecting discoid stenosis compared with conventional CT.
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Affiliation(s)
- Ann-Kathrin Ditges
- Department of Radiology, Charité - University Medicine Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Torsten Diekhoff
- Department of Radiology, Charité - University Medicine Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Nils Engelhard
- Department of Radiology, Charité - University Medicine Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Maximilian Muellner
- Center for Musculoskeletal Surgery, Charité - University Medicine Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Matthias Pumberger
- Center for Musculoskeletal Surgery, Charité - University Medicine Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Friederike Schömig
- Center for Musculoskeletal Surgery, Charité - University Medicine Berlin, Charitéplatz 1, 10117, Berlin, Germany.
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Tortora M, Gemini L, D’Iglio I, Ugga L, Spadarella G, Cuocolo R. Spectral Photon-Counting Computed Tomography: A Review on Technical Principles and Clinical Applications. J Imaging 2022; 8:jimaging8040112. [PMID: 35448239 PMCID: PMC9029331 DOI: 10.3390/jimaging8040112] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/11/2022] [Accepted: 04/14/2022] [Indexed: 01/01/2023] Open
Abstract
Photon-counting computed tomography (CT) is a technology that has attracted increasing interest in recent years since, thanks to new-generation detectors, it holds the promise to radically change the clinical use of CT imaging. Photon-counting detectors overcome the major limitations of conventional CT detectors by providing very high spatial resolution without electronic noise, providing a higher contrast-to-noise ratio, and optimizing spectral images. Additionally, photon-counting CT can lead to reduced radiation exposure, reconstruction of higher spatial resolution images, reduction of image artifacts, optimization of the use of contrast agents, and create new opportunities for quantitative imaging. The aim of this review is to briefly explain the technical principles of photon-counting CT and, more extensively, the potential clinical applications of this technology.
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Affiliation(s)
- Mario Tortora
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy; (M.T.); (L.G.); (I.D.); (L.U.); (G.S.)
| | - Laura Gemini
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy; (M.T.); (L.G.); (I.D.); (L.U.); (G.S.)
| | - Imma D’Iglio
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy; (M.T.); (L.G.); (I.D.); (L.U.); (G.S.)
| | - Lorenzo Ugga
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy; (M.T.); (L.G.); (I.D.); (L.U.); (G.S.)
| | - Gaia Spadarella
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy; (M.T.); (L.G.); (I.D.); (L.U.); (G.S.)
| | - Renato Cuocolo
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy
- Department of Medicine, Surgery and Dentistry, University of Salerno, Via Salvador Allende 43, 84081 Baronissi, Italy
- Correspondence:
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Wang TJ, Barrett S, Ali I, Khosa F, Nicolaou S, Murray N. Dual-Energy CT in the Acute Setting: Bowel Trauma. FRONTIERS IN RADIOLOGY 2022; 2:835834. [PMID: 37492664 PMCID: PMC10365276 DOI: 10.3389/fradi.2022.835834] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 02/14/2022] [Indexed: 07/27/2023]
Abstract
Traumatic bowel and mesenteric injuries (TBMI) have significant morbidity and mortality. The physical examination is often limited and sometimes not feasible in the trauma patient. Multidetector CT (MDCT) detection of TBMI is challenging and can be life-saving. Dual-energy CT (DECT) utilizes iodine overlay, monoenergetic imaging, and metal artifact reduction to enhance the conspicuity of TBMI. DECT may improve the conspicuity of TBMI leading to increased diagnostic accuracy and confidence. The aim of the article is to review the state of the art and applications of DECT in bowel trauma.
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Yan YY, Dous YNB, Ouellette HA, Munk PL, Murray N, Mallinson PI, Sheikh MA. Periarticular calcifications. Skeletal Radiol 2022; 51:451-475. [PMID: 34155550 DOI: 10.1007/s00256-021-03842-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/12/2021] [Accepted: 06/13/2021] [Indexed: 02/02/2023]
Abstract
Periarticular calcification and ossification is a frequent finding on imaging and may sometimes pose a diagnostic challenge. The differential diagnoses for this radiological finding are wide and can be classified into broad groups such as idiopathic, developmental, trauma, burns, infection, tumor, connective tissue disease, crystalline, metabolic, vascular, and foreign bodies. With careful consideration of the clinical and imaging findings as well as awareness of mimickers of periarticular mineralization, the list of differential diagnoses can be narrowed down. This article aims to review the clinical-radiologic findings of periarticular calcified or ossified lesions with relevant imaging illustrations.
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Affiliation(s)
- Y Y Yan
- Department of Radiology, Musculoskeletal Section, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada. .,Department of Radiology, Changi General Hospital, 2 Simei Street 3, Singapore, 529889, Singapore.
| | - Y N Bin Dous
- Department of Radiology, Musculoskeletal Section, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - H A Ouellette
- Department of Radiology, Musculoskeletal Section, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - P L Munk
- Department of Radiology, Musculoskeletal Section, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - N Murray
- Department of Radiology, Musculoskeletal Section, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - P I Mallinson
- Department of Radiology, Musculoskeletal Section, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - M A Sheikh
- Department of Radiology, Musculoskeletal Section, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
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Morawitz J, Martin O, Boos J, Sawicki LM, Wingendorf K, Sedlmair M, Mamlins E, Antke C, Antoch G, Schaarschmidt BM. Impact of Different Metal Artifact Reduction Techniques on Attenuation Correction of Normal Organs in 18F-FDG-PET/CT. Diagnostics (Basel) 2022; 12:diagnostics12020375. [PMID: 35204466 PMCID: PMC8870731 DOI: 10.3390/diagnostics12020375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/20/2022] [Accepted: 01/28/2022] [Indexed: 02/04/2023] Open
Abstract
Purpose: To evaluate the impact of different metal artifact reduction algorithms on Hounsfield units (HU) and the standardized uptake value (SUV) in normal organs in patients with different metal implants. Methods: This study prospectively included 66 patients (mean age of 66.02 ± 13.1 years) with 87 different metal implants. CT image reconstructions were performed using weighted filtered back projection (WFBP) as the standard method, metal artifact reduction in image space (MARIS), and an iterative metal artifacts reduction (iMAR) algorithm for large implants. These datasets were used for PET attenuation correction. HU and SUV measurements were performed in nine predefined anatomical locations: liver, lower lung lobes, descending aorta, thoracic vertebral body, autochthonous back muscles, pectoral muscles, and internal jugular vein. Differences between HU and SUV measurements were compared using paired t-tests. The significance level was determined as p = 0.017 using Bonferroni correction. Results: No significant differences were observed between reconstructed images using iMAR and WFBP concerning HU and SUV measurements in liver (HU: p = 0.055; SUVmax: p = 0.586), lung (HU: p = 0.276; SUVmax: p = 1.0 for the right side and HU: p = 0.630; SUVmax: p = 0.109 for the left side), descending aorta (HU: p = 0.333; SUVmax: p = 0.083), thoracic vertebral body (HU: p = 0.725; SUVmax: p = 0.392), autochthonous back muscles (HU: p = 0.281; SUVmax: p = 0.839), pectoral muscles (HU: p = 0.481; SUVmax: p = 0.277 for the right side and HU: p = 0.313; SUVmax: p = 0.859 for the left side), or the internal jugular vein (HU: p = 0.343; SUVmax: p = 0.194). Conclusion: Metal artifact reduction algorithms such as iMAR do not alter the data information of normal organs not affected by artifacts.
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Affiliation(s)
- Janna Morawitz
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany; (O.M.); (J.B.); (L.M.S.); (K.W.); (G.A.)
- Correspondence: ; Tel.: +49-2118117552; Fax: +49-2118116145
| | - Ole Martin
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany; (O.M.); (J.B.); (L.M.S.); (K.W.); (G.A.)
| | - Johannes Boos
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany; (O.M.); (J.B.); (L.M.S.); (K.W.); (G.A.)
| | - Lino M. Sawicki
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany; (O.M.); (J.B.); (L.M.S.); (K.W.); (G.A.)
| | - Katrin Wingendorf
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany; (O.M.); (J.B.); (L.M.S.); (K.W.); (G.A.)
| | - Martin Sedlmair
- Department of Computed Tomography, Siemens Healthineers GmbH, D-91301 Forchheim, Germany;
| | - Eduards Mamlins
- Department of Nuclear Medicine, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany; (E.M.); (C.A.)
| | - Christina Antke
- Department of Nuclear Medicine, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany; (E.M.); (C.A.)
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany; (O.M.); (J.B.); (L.M.S.); (K.W.); (G.A.)
| | - Benedikt M. Schaarschmidt
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, D-45147 Essen, Germany;
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Bajaj G, Callan AK, Weinschenk RC, Chhabra A. Multiparametric Evaluation of Soft Tissue Sarcoma: Current Perspectives and Future Directions. Semin Roentgenol 2022; 57:212-231. [DOI: 10.1053/j.ro.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/31/2022] [Accepted: 02/02/2022] [Indexed: 11/11/2022]
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