1
|
Lee S, Park S, Hong S, Kim S, Yoon J, Choi J. Comparison of computed tomography perfusion and magnetic resonance dynamic susceptibility contrast perfusion-weighted imaging in canine brain. Front Vet Sci 2024; 11:1298215. [PMID: 38528871 PMCID: PMC10961344 DOI: 10.3389/fvets.2024.1298215] [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: 10/03/2023] [Accepted: 01/22/2024] [Indexed: 03/27/2024] Open
Abstract
Brain perfusion allows for the evaluation of cerebral hemodynamics, particularly in brain infarcts and tumors. Computed tomography (CT) perfusion (CTP) provides reliable data; however, it has a limited scan field of view and radiation exposure. Magnetic resonance (MR) perfusion provides detailed imaging of small structures and a wide scan field of view. However, no study has compared CTP and MR perfusion and assessed the correlation between the perfusion parameters measured using CTP and MR perfusion. The aim of the present study was to assess the correlation and agreement of the cerebral perfusion derived from dynamic susceptibility contrast (DSC)-MRI and CTP in dogs. In this crossover design study, the cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time, and time to peak were measured in the temporal cerebral cortex, caudate nucleus, thalamus, piriform lobe, and hippocampus using CTP and DSC-MRI in six healthy beagle dogs and a dog with a pituitary tumor. On the color map of healthy beagles, blood vessels and the perivascular brain parenchyma appeared as red-green, indicating high perfusion, and the areas distant from the vessels appeared as green-blue, indicating low perfusion levels in CTP and DSC-MRI. CTP parameters were highest in the piriform lobe (CBF = 121.11 ± 12.78 mL/100 g/min and CBV = 8.70 ± 2.04 mL/100 g) and lowest in the thalamus (CBF = 63.75 ± 25.24 mL/100 g/min and CBV = 4.02 ± 0.55 mL/100 g). DSC-MRI parameters were also highest in the piriform lobe (CBF = 102.31 ± 14.73 mL/100 g/min and CBV = 3.17 ± 1.23 mL/100 g) and lowest in the thalamus (CBF = 37.73 ± 25.11 mL/100 g/min and CBV = 0.81 ± 0.44 mL/100 g) although there was no statistical correlation in the quantitative perfusion parameters between CTP and DSC-MRI. In a dog with a pituitary tumor, the color map of the tumor appeared as a red scale, indicating high perfusion and higher CBF and CBV on CTP (149 mL/100 g and 20 mL/100 g/min) and on DSC-MRI (116.3 mL/100 g and 15.32 mL/100 g/min) compared to those measured in healthy dogs. These findings indicate that DSC-MRI and CTP maps exhibit comparability and interchangeability in the assessment of canine brain perfusion.
Collapse
Affiliation(s)
| | | | | | | | | | - Jihye Choi
- Department of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea
| |
Collapse
|
2
|
Quinn L, Tryposkiadis K, Deeks J, De Vet HCW, Mallett S, Mokkink LB, Takwoingi Y, Taylor-Phillips S, Sitch A. Interobserver variability studies in diagnostic imaging: a methodological systematic review. Br J Radiol 2023:20220972. [PMID: 37399082 PMCID: PMC10392644 DOI: 10.1259/bjr.20220972] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2023] Open
Abstract
OBJECTIVES To review the methodology of interobserver variability studies; including current practice and quality of conducting and reporting studies. METHODS Interobserver variability studies between January 2019 and January 2020 were included; extracted data comprised of study characteristics, populations, variability measures, key results, and conclusions. Risk of bias was assessed using the COSMIN tool for assessing reliability and measurement error. RESULTS Seventy-nine full-text studies were included covering various imaging tests and clinical areas. The median number of patients was 47 (IQR:23-88), and observers were 4 (IQR:2-7), with sample size justified in 12 (15%) studies. Most studies used static images (n = 75, 95%), where all observers interpreted images for all patients (n = 67, 85%). Intraclass correlation coefficients (ICC) (n = 41, 52%), Kappa (κ) statistics (n = 31, 39%) and percentage agreement (n = 15, 19%) were most commonly used. Interpretation of variability estimates often did not correspond with study conclusions. The COSMIN risk of bias tool gave a very good/adequate rating for 52 studies (66%) including any studies that used variability measures listed in the tool. For studies using static images, some study design standards were not applicable and did not contribute to the overall rating. CONCLUSIONS Interobserver variability studies have diverse study designs and methods, the impact of which requires further evaluation. Sample size for patients and observers was often small without justification. Most studies report ICC and κ values, which did not always coincide with the study conclusion. High ratings were assigned to many studies using the COSMIN risk of bias tool, with certain standards scored 'not applicable' when static images were used. ADVANCES IN KNOWLEDGE The sample size for both patients and observers was often small without justification.For most studies, observers interpreted static images and did not evaluate the process of acquiring the imaging test, meaning it was not possible to assess many COSMIN risk of bias standards for studies with this design.Most studies reported intraclass correlation coefficient and κ statistics; study conclusions often did not correspond with results.
Collapse
Affiliation(s)
- Laura Quinn
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom
| | - Konstantinos Tryposkiadis
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom
| | - Jon Deeks
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom
| | - Henrica C W De Vet
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Sue Mallett
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Lidwine B Mokkink
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Yemisi Takwoingi
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom
| | - Sian Taylor-Phillips
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Alice Sitch
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom
| |
Collapse
|
3
|
Rigler I, Gspan T, Avsenik J, Milošević Z, Pretnar Oblak J. Independent Significance of Visual Assessment of Perfusion CT Maps in Anterior Circulation Stroke Patients Treated with Mechanical Thrombectomy. Clin Neuroradiol 2022; 32:829-837. [PMID: 35175361 DOI: 10.1007/s00062-022-01140-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/17/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND In the absence of an automated software analysis, the role of computed tomography perfusion (CTP) in a real time clinical practice is not well established. We evaluated the clinical significance of a widely accessible and simple visual grading scale of CTP in the anterior circulation of acute ischemic stroke (AIS) patients treated with mechanical thrombectomy (MT). METHODS The single center consecutive CT investigations of AIS patients treated with MT in the anterior circulation have been evaluated retrospectively. ASPECT score and collateral circulation evaluation based on the Maas score were determined. Time to peak parametric maps, derived from CTP, were graded into four categories, from least to most favorable. The primary endpoint was functional outcome evaluated as modified Rankin Scale (mRS) ≤ 2 at 90 days after MT. RESULTS We included 318 patients in the analysis; 142 (45%) patients had mRS ≤ 2 after 90 days, mortality rate was 24%. Higher CTP and Maas score were significantly correlated with better clinical outcome (Pearson χ2 25.0 and 37.7, respectively; p < 0.01). Collateral circulation and CTP grades were strongly interrelated (Pearson χ2 78.6; p < 0.01). The CTP grade demonstrated statistically significant independent correlation with the clinical outcome irrespective of the collateral circulation grade, ASPECT score and age (OR 2.5; p = 0.011). The correlation was more pronounced in patients with normal collateral circulation (OR 3.27; p = 0.029). CONCLUSION We demonstrated that both visually graded CTP and collateral circulation grade strongly correlated with the clinical outcome of MT in the anterior circulation of AIS patients. Importantly, CTP correlated with the clinical outcome independent of the collateral circulation.
Collapse
Affiliation(s)
- Igor Rigler
- Department of Vascular Neurology, University Medical Centre Ljubljana, Zaloska 2, 1000, Ljubljana, Slovenia.
| | - Tina Gspan
- Neurology Department, University Medical Centre Ljubljana, Zaloska 2, 1000, Ljubljana, Slovenia
| | - Jernej Avsenik
- Clinical Institute of Radiology, University Medical Centre Ljubljana, Zaloska 2, 1000, Ljubljana, Slovenia
| | - Zoran Milošević
- Clinical Institute of Radiology, University Medical Centre Ljubljana, Zaloska 2, 1000, Ljubljana, Slovenia
| | - Janja Pretnar Oblak
- Department of Vascular Neurology, University Medical Centre Ljubljana, Zaloska 2, 1000, Ljubljana, Slovenia.,Neurology Department, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, Ljubljana, Slovenia
| |
Collapse
|
4
|
Wang J, Rao G, Ma Y, Zhang J, Shen J, Shi C. Neuroprotective Effect of Activated Protein C on Blood-Brain Barrier Injury During Focal Cerebral Ischemia/Reperfusion. Dose Response 2020; 18:1559325820917288. [PMID: 32425720 PMCID: PMC7218308 DOI: 10.1177/1559325820917288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 02/15/2020] [Accepted: 02/17/2020] [Indexed: 11/17/2022] Open
Abstract
Although the effect of activated protein C (APC) on neuronal injury and neuroinflammatory responses has been extensively studied, the detailed mechanism underlying APC-protective effect in the blood–brain barrier (BBB) injury during ischemia is still not clear. In this study, the APC effect against neuroinflammatory responses was evaluated in the model of right middle cerebral artery occlusion in male Sprague-Dawley rats with 2 hours of ischemia and 22 hours of reperfusion. The results showed that APC can significantly improve the neurological function scoring and reduce the infarct volume and BBB permeability. Moreover, the expression of protein nuclear factor-kappa B (NF-κB), both in cytoplasm and nuclei, was reduced. The downstream of NF-κB activation, including tumor necrosis factor-α and interleukin-1β secretion, was inhibited. In all, APC exerts a neuroprotective effect in focal cerebral ischemia–reperfusion in rats by inhibiting the activation and nuclear translocation of NF-κB. It may indicate a therapeutic approach for ischemic brain injury.
Collapse
Affiliation(s)
- Jinqiao Wang
- Department of Rehabilitation Medicine, The First People's Hospital of Wenling, Wenzhou Medical University, Wenling, China
| | - Gaofeng Rao
- Department of Rehabilitation Medicine, The First People's Hospital of Wenling, Wenzhou Medical University, Wenling, China
| | - Yifan Ma
- Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, USA
| | - Jingjing Zhang
- Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, USA
| | - Jingjing Shen
- School of Civil Engineering & Architecture, Taizhou University, Taizhou, China
| | - Chaohong Shi
- Department of Rehabilitation Medicine, The First People's Hospital of Wenling, Wenzhou Medical University, Wenling, China
| |
Collapse
|
5
|
Mair G, Chappell F, Martin C, Dye D, Bath PM, Muir KW, von Kummer R, Al-Shahi Salman R, Sandercock PAG, Macleod M, Sprigg N, White P, Wardlaw JM. Real-world Independent Testing of e-ASPECTS Software (RITeS): statistical analysis plan. AMRC OPEN RESEARCH 2020; 2:20. [PMID: 35800260 PMCID: PMC7612993 DOI: 10.12688/amrcopenres.12904.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Background: Artificial intelligence-based software may automatically detect ischaemic stroke lesions and provide an Alberta Stroke Program Early CT score (ASPECTS) on CT, and identify arterial occlusion and provide a collateral score on CTA. Large-scale independent testing will inform clinical use, but is lacking. We aim to test e-ASPECTS and e-CTA (Brainomix, Oxford UK) using CT scans obtained from a range of clinical studies. Methods: Using prospectively collected baseline CT and CTA scans from 10 national/international clinical stroke trials or registries (total >6600 patients), we will select a large clinically representative sample for testing e-ASPECTS and e-CTA compared to previously acquired independent expert human interpretation (reference standard). Our primary aims are to test agreement between software-derived and masked human expert ASPECTS, and the diagnostic accuracy of e-ASPECTS for identifying all causes of stroke symptoms using follow-up imaging and final clinical opinion as diagnostic ground truth. Our secondary aims are to test when and why e-ASPECTS is more or less accurate, or succeeds/fails to produce results, agreement between e-CTA and human expert CTA interpretation, and repeatability of e-ASPECTS/e-CTA results. All testing will be conducted on an intention-to-analyse basis. We will assess agreement between software and expert-human ratings and test the diagnostic accuracy of software. Conclusions: RITeS will provide comprehensive, robust and representative testing of e-ASPECTS and e-CTA against the current gold-standard, expert-human interpretation.
Collapse
Affiliation(s)
- Grant Mair
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Francesca Chappell
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Chloe Martin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - David Dye
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Philip M. Bath
- Stroke Trials Unit, University of Nottingham, Nottingham, NG5 1PB, UK
| | - Keith W. Muir
- Institute of Neuroscience & Psychology, University of Glasgow, Glasgow, G51 4TF, UK
| | - Rüdiger von Kummer
- Department of Neuroradiology, University Hospital Dresden, Dresden, 01309, Germany
| | | | | | - Malcolm Macleod
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Nikola Sprigg
- Stroke Trials Unit, University of Nottingham, Nottingham, NG5 1PB, UK
| | - Philip White
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| |
Collapse
|