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Hollý S, Chmelík M, Suchá S, Suchý T, Beneš J, Pátrovič L, Juskanič D. Photon-counting CT using multi-material decomposition algorithm enables fat quantification in the presence of iron deposits. Phys Med 2024; 118:103210. [PMID: 38219560 DOI: 10.1016/j.ejmp.2024.103210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 11/29/2023] [Accepted: 01/04/2024] [Indexed: 01/16/2024] Open
Abstract
PURPOSE A new generation of CT detectors were recently developed with the ability to measure individual photon's energy and thus provide spectral information. The aim of this work was to assess the performance of simultaneous fat and iron quantification using a clinical photon-counting CT (PCCT) and its comparison to dual-energy CT (DECT), MRS and MRI at 3 T. METHODS Two 3D printed cylindrical phantoms with 32 samples (n = 12 fat fractions between 0 % and 100 %, n = 20 with mixtures of fat and iron) were scanned with PCCT and DECT scanners for comparison. A three-material decomposition approach was used to estimate the volume fractions of fat (FF), iron and soft tissue. The same phantoms were examined by MRI (6-echo DIXON, a.k.a. Q-DIXON) and MRS (multi-echo STEAM, a.k.a. HISTO) at 3 T for comparison. RESULTS PCCT, DECT, MRI and MRS computed FFs showed correlation with reference fat fraction values in samples with no iron (r > 0.98). PCCT decomposition showed slightly weaker correlation with FFref in samples with added iron (r = 0.586) compared to MRI (r = 0.673) and MRS (r = 0.716) methods. On the other hand, it showed no systematic over- or underestimation. Surprisingly, DECT decomposition-derived FF showed strongest correlation (r = 0.758) in these samples, however systematic overestimation was observed. FF values computed by three-material PCCT decomposition, DECT decomposition, MRI and MRS were unaffected by iron concentration. CONCLUSIONS This in-vitro study shows for the first time that photon-counting computed tomography may be used for quantification of fat content in the presence of iron deposits.
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Affiliation(s)
- Samuel Hollý
- JESSENIUS - diagnostic center, Nitra, Slovakia; Institute of Biophysics and Informatics, First Faculty of Medicine Charles University, Prague, Czech Republic
| | - Marek Chmelík
- JESSENIUS - diagnostic center, Nitra, Slovakia; Department of Technical Disciplines in Health Care, Faculty of Health Care, University of Prešov, Slovakia.
| | - Slavomíra Suchá
- Department of Technical Disciplines in Health Care, Faculty of Health Care, University of Prešov, Slovakia
| | - Tomáš Suchý
- Department of Technical Disciplines in Health Care, Faculty of Health Care, University of Prešov, Slovakia
| | - Jiři Beneš
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | | | - Dominik Juskanič
- JESSENIUS - diagnostic center, Nitra, Slovakia; Medical Faculty, Commenius University in Bratislava, Slovakia
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Schuh BM, Macáková K, Feješ A, Groß T, Belvončíková P, Janko J, Juskanič D, Hollý S, Borbélyová V, Šteňová E, Pastorek M, Vlková B, Celec P. Sex differences in long-term effects of collagen-induced arthritis in middle-aged mice. Front Physiol 2023; 14:1195604. [PMID: 37449011 PMCID: PMC10337783 DOI: 10.3389/fphys.2023.1195604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/16/2023] [Indexed: 07/18/2023] Open
Abstract
Introduction: Rheumatoid arthritis (RA) is a chronic inflammatory disorder with high prevalence among middle-aged women. Collagen-induced arthritis (CIA) is the most widely used animal model of RA, however, sex differences and long-term effects of CIA in mice are poorly described in the literature. Aim: Therefore, the present study aimed to analyze the long-term effects of CIA on the joints of middle-aged mice of both sexes and to describe potential sex differences. Materials and methods: CIA was induced in middle-aged DBA/1J mice by immunization with bovine type II collagen and complete Freund's adjuvant. Saline was administered to control mice. Arthritis score assessment, plethysmometry, and thermal imaging of the joints were performed weekly for 15 weeks. Locomotor activity, micro-computed tomography, joint histology and biochemical analyses were performed at the end of the experiment. Results: Our results indicate a similar prevalence of arthritis in both sexes of mice-67% (8/12) of females and 89% (8/9) males with an earlier onset in males (day 14 vs. day 35). After the arthritis scores peaked on day 56 for males and day 63 for females, they steadily declined until the end of the experiment on day 105. A similar dynamics was observed in paw volume and temperature analyzing different aspects of joint inflammation. Long-term consequences including higher proteinuria (by 116%), loss of bone density (by 33.5%) and joint damage in terms of synovial hyperplasia as well as bone and cartilage erosions were more severe in CIA males compared to CIA females. There were no significant differences in locomotor activity between CIA mice and CTRL mice of any sex. Conclusion: This is the first study to describe the long-term effects of the CIA model in terms of sex differences in DBA/1J mice. Our results indicate sex differences in the dynamics, but not in the extent of arthritis. An earlier onset of arthritis and more severe consequences on joints, bones and kidneys were found in males. The underlying immune pathomechanisms responsible for the limited duration of the arthritis symptoms and the opposite sex difference in comparison to RA patients require further investigation.
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Affiliation(s)
| | - Kristína Macáková
- Faculty of Medicine, Institute of Molecular Biomedicine, Comenius University, Bratislava, Slovakia
| | - Andrej Feješ
- Faculty of Medicine, Institute of Molecular Biomedicine, Comenius University, Bratislava, Slovakia
| | - Tim Groß
- Faculty of Medicine, Institute of Molecular Biomedicine, Comenius University, Bratislava, Slovakia
| | - Paulína Belvončíková
- Faculty of Medicine, Institute of Molecular Biomedicine, Comenius University, Bratislava, Slovakia
| | - Jakub Janko
- Faculty of Medicine, Institute of Molecular Biomedicine, Comenius University, Bratislava, Slovakia
| | - Dominik Juskanič
- Jessenius-Diagnostic Center, Nitra, Slovakia
- Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Samuel Hollý
- Jessenius-Diagnostic Center, Nitra, Slovakia
- First Faculty of Medicine, Institute of Biophysics and Informatics, Charles University, Prague, Czechia
| | - Veronika Borbélyová
- Faculty of Medicine, Institute of Molecular Biomedicine, Comenius University, Bratislava, Slovakia
| | - Emőke Šteňová
- 1st Department of Internal Medicine, Faculty of Medicine, University Hospital, Comenius University, Bratislava, Slovakia
| | - Michal Pastorek
- Faculty of Medicine, Institute of Molecular Biomedicine, Comenius University, Bratislava, Slovakia
| | - Barbora Vlková
- Faculty of Medicine, Institute of Molecular Biomedicine, Comenius University, Bratislava, Slovakia
| | - Peter Celec
- Faculty of Medicine, Institute of Molecular Biomedicine, Comenius University, Bratislava, Slovakia
- Faculty of Medicine, Institute of Pathophysiology, Comenius University, Bratislava, Slovakia
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Juskanič D, Mištinová JP, Hollý S, Sekerešová M, Koleják K, Pátrovič L. Diagnostic performance of edited 2HG MR spectroscopy of central glioma in the clinical environment. MAGMA 2022; 35:45-52. [PMID: 34985589 DOI: 10.1007/s10334-021-00989-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 12/09/2021] [Accepted: 12/12/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVE Oncometabolite D-2-hydroxyglutarate (2HG) is pooled in isocitrate dehydrogenase (IDH)-mutant glioma cells. Detecting 2HG by MR spectroscopy (MRS) has been proven viable in the last decade but has not entirely found its way into the clinical routine. This study aimed to explore the adoption of 2HG MRS while acknowledging factors that influence its performance in the clinical environment. METHODS Thirty-nine MR spectra were acquired and reported prospectively in patients with suspected glioma using a 3 T system with Mescher-Garwood point-resolved spectroscopy (MEGA-PRESS) sequence utilizing averaged free induction decay (FID) signals. Postprocessing and evaluation of spectra were performed with jMRUI and LCModel. 2HG concentration estimates, 2HG/Cr ratio, together with quality measures, including Cramér-Rao lower bounds (CRLBs), full-width at half-maximum (FWHM) values, and signal-to-noise ratio (SNR) were calculated using LCModel. Immunohistochemistry and genomic analysis results used as a ground truth were available for 15 patients. RESULTS The threshold for test positivity was set according to the ROC curve at 1 mM. Calculated sensitivity was 57.14% (95% CI 0.20-0.88), specificity 87.5% (95% CI 0.46-0.99), positive predictive value 80%, and negative predictive value 70%. Overall diagnostic accuracy was 73.33% (95% CI 0.45-0.92). The 2HG/Cr ratio with the cutoff value 0.085 significantly improved sensitivity and overall diagnostic accuracy [85.71%, 95% CI 0.42-1.00 and 86.67%, (95% CI 0.60-0.98), respectively]. CONCLUSION Multiple factors compromising spectral quality in the clinical adoption of edited 2HG MRS resulted in diminished sensitivity but clinically acceptable specificity. Furthermore, the 2HG/Cr ratio performs better than the sole 2HG concentration estimate in the pre-operative setting.
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Affiliation(s)
- Dominik Juskanič
- JESSENIUS-Diagnostic Center, Nitra, Slovakia.
- Medical Faculty, Comenius University in Bratislava, Bratislava, Slovakia.
- Faculty Hospital, Nitra, Slovakia.
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