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Murtomäki K, Joutsa J, Mertsalmi T, Jaakkola E, Mäkinen E, Levo R, Eklund M, Nuuttila S, Pekkonen E, Noponen T, Ihalainen T, Kaasinen V, Scheperjans F. Dopamine transporter binding in the brain is linked to irritable bowel syndrome in Parkinson's disease. Brain Behav 2023:e3097. [PMID: 37254594 DOI: 10.1002/brb3.3097] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 05/17/2023] [Accepted: 05/17/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND Gastrointestinal symptoms are common in Parkinson's disease (PD), but their neurophysiological correlates are not well understood. We recently reported that functional gastrointestinal symptoms were not associated with asymmetry per se but might be associated with lower left striatal dopamine transporter (DAT) binding. The purpose of this study was to further investigate if specific gastrointestinal symptoms associate with monoamine transporter changes in specific striatal or extrastriatal areas. METHODS Ninety PD patients, who underwent DAT ¹2 3 I-FP-CIT SPECT imaging, were assessed using the MDS-Unified Parkinson's Disease Rating Scale part III, Rome III, and Wexner constipation score. DAT binding was calculated from striatal subregions using region-to-occipital cortex ratio. Voxel-wise analysis was used to assess the relationship between gastrointestinal symptoms and striatal DAT and extrastriatal serotonin transporter (SERT) binding. RESULTS Irritable bowel syndrome (IBS) criteria were fulfilled in 17 patients and were linked to higher ¹2 3 I-FP-CIT binding in the right posterior putamen and adjacent areas as compared to patients without IBS. No other significant associations between gastrointestinal symptoms and DAT or SERT binding were found. CONCLUSIONS These findings suggest that PD patients with IBS may have higher DAT binding in the right hemisphere. This finding implicates alterations of brain neurotransmitter physiology in the gastrointestinal symptoms of PD patients.
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Affiliation(s)
- Kirsi Murtomäki
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
- Clinicum, University of Helsinki, Helsinki, Finland
| | - Juho Joutsa
- Clinical Neurosciences, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
- Turku Brain and Mind Center, University of Turku, Turku, Finland
| | - Tuomas Mertsalmi
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
- Clinicum, University of Helsinki, Helsinki, Finland
| | - Elina Jaakkola
- Clinical Neurosciences, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
| | - Elina Mäkinen
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
- Clinicum, University of Helsinki, Helsinki, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
| | - Reeta Levo
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
- Clinicum, University of Helsinki, Helsinki, Finland
| | - Mikael Eklund
- Clinical Neurosciences, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
- Turku Brain and Mind Center, University of Turku, Turku, Finland
| | - Simo Nuuttila
- Clinical Neurosciences, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
| | - Eero Pekkonen
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
- Clinicum, University of Helsinki, Helsinki, Finland
| | - Tommi Noponen
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Toni Ihalainen
- Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Valtteri Kaasinen
- Clinical Neurosciences, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
| | - Filip Scheperjans
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
- Clinicum, University of Helsinki, Helsinki, Finland
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Eklund M, Nuuttila S, Joutsa J, Jaakkola E, Mäkinen E, Honkanen EA, Lindholm K, Vahlberg T, Noponen T, Ihalainen T, Murtomäki K, Nojonen T, Levo R, Mertsalmi T, Scheperjans F, Kaasinen V. Diagnostic value of micrographia in Parkinson's disease: a study with [ 123I]FP-CIT SPECT. J Neural Transm (Vienna) 2022; 129:895-904. [PMID: 35624405 PMCID: PMC9217822 DOI: 10.1007/s00702-022-02517-1] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 05/11/2022] [Indexed: 11/25/2022]
Abstract
Micrographia is a common symptom of Parkinson’s disease (PD), and it may precede other motor symptoms. Despite the high prevalence of micrographia in PD, its neurobiological mechanisms are not known. Given that levodopa may alleviate consistent micrographia and that nondopaminergic essential tremor (ET) is not associated with micrographia, micrographia could possibly be used as an ancillary diagnostic method that reflects nigrostriatal dopamine function. We evaluated the usefulness of micrographia as a simple one-sentence writing test in differentiating PD from ET. A total of 146 PD patients, 42 ET patients and 38 healthy controls provided writing samples and were scanned with brain [123I]FP-CIT dopamine transporter (DAT) SPECT imaging with ROI-based and voxelwise analyses. The diagnostic accuracy of micrographia was evaluated and compared to that of DAT binding. Compared to ET and healthy controls, PD patients showed micrographia (consistent, 25.6% smaller area of handwriting sample in PD compared to ET, p = 0.002, and 27.2% smaller area of handwriting compared to healthy controls, p = 0.004). PD patients showed 133% more severe progressive micrographia compared with ET patients (median b = − 0.14 in PD, b = − 0.06 in ET, p = 0.021). In early unmedicated cognitively normal patients, consistent micrographia showed 71.2% specificity and 87.5% sensitivity in PD versus ET differentiation, but micrographia had no correlation with striatal or extrastriatal [123I]FP-CIT binding in patients with PD. The one-sentence micrographia test shows moderately good accuracy in PD versus ET differentiation. The severity of micrographia has no relationship with DAT binding, suggesting nondopaminergic mechanism of micrographia in PD. ClinicalTrials.gov identifier: NCT02650843 (NMDAT study).
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Affiliation(s)
- Mikael Eklund
- Clinical Neurosciences, University of Turku, FI-20014, Turku, Finland. .,Neurocenter, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland. .,Turku PET Centre, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland.
| | - Simo Nuuttila
- Clinical Neurosciences, University of Turku, FI-20014, Turku, Finland.,Neurocenter, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland
| | - Juho Joutsa
- Clinical Neurosciences, University of Turku, FI-20014, Turku, Finland.,Neurocenter, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland.,Turku PET Centre, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland.,Turku Brain and Mind Center, University of Turku, FI-20014, Turku, Finland
| | - Elina Jaakkola
- Clinical Neurosciences, University of Turku, FI-20014, Turku, Finland.,Neurocenter, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland
| | - Elina Mäkinen
- Clinical Neurosciences, University of Turku, FI-20014, Turku, Finland.,Department of Neurology, Helsinki University Hospital HUS, Helsinki, Finland.,Department of Clinical Neurosciences, University of Helsinki HUS, PO Box 800, FI-00029, Helsinki, Finland
| | - Emma A Honkanen
- Clinical Neurosciences, University of Turku, FI-20014, Turku, Finland.,Neurocenter, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland.,Turku PET Centre, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland
| | - Kari Lindholm
- Clinical Neurosciences, University of Turku, FI-20014, Turku, Finland.,Neurocenter, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland
| | - Tero Vahlberg
- Clinical Medicine, Biostatistics, University of Turku and Turku University Hospital, PO Box 52, FI-20521, Turku, Finland
| | - Tommi Noponen
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland.,Department of Medical Physics, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland
| | - Toni Ihalainen
- HUS Medical Imaging Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital HUS, PO Box 800, FI-00029, Helsinki, Finland
| | - Kirsi Murtomäki
- Department of Neurology, Helsinki University Hospital HUS, Helsinki, Finland.,Department of Clinical Neurosciences, University of Helsinki HUS, PO Box 800, FI-00029, Helsinki, Finland
| | - Tanja Nojonen
- Department of Neurology, Helsinki University Hospital HUS, Helsinki, Finland.,Department of Clinical Neurosciences, University of Helsinki HUS, PO Box 800, FI-00029, Helsinki, Finland
| | - Reeta Levo
- Department of Neurology, Helsinki University Hospital HUS, Helsinki, Finland.,Department of Clinical Neurosciences, University of Helsinki HUS, PO Box 800, FI-00029, Helsinki, Finland
| | - Tuomas Mertsalmi
- Department of Neurology, Helsinki University Hospital HUS, Helsinki, Finland.,Department of Clinical Neurosciences, University of Helsinki HUS, PO Box 800, FI-00029, Helsinki, Finland
| | - Filip Scheperjans
- Department of Neurology, Helsinki University Hospital HUS, Helsinki, Finland.,Department of Clinical Neurosciences, University of Helsinki HUS, PO Box 800, FI-00029, Helsinki, Finland
| | - Valtteri Kaasinen
- Clinical Neurosciences, University of Turku, FI-20014, Turku, Finland.,Neurocenter, Turku University Hospital, PO Box 52, FI-20521, Turku, Finland.,Turku Brain and Mind Center, University of Turku, FI-20014, Turku, Finland
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Halme HL, Ihalainen T, Suomalainen O, Loimaala A, Mätzke S, Uusitalo V, Sipilä O, Hippeläinen E. Convolutional neural networks for detection of transthyretin amyloidosis in 2D scintigraphy images. EJNMMI Res 2022; 12:27. [PMID: 35524861 PMCID: PMC9079204 DOI: 10.1186/s13550-022-00897-9] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 04/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Transthyretin amyloidosis (ATTR) is a progressive disease which can be diagnosed non-invasively using bone avid [99mTc]-labeled radiotracers. Thus, ATTR is also an occasional incidental finding on bone scintigraphy. In this study, we trained convolutional neural networks (CNN) to automatically detect and classify ATTR from scintigraphy images. The study population consisted of 1334 patients who underwent [99mTc]-labeled hydroxymethylene diphosphonate (HMDP) scintigraphy and were visually graded using Perugini grades (grades 0-3). A total of 47 patients had visual grade ≥ 2 which was considered positive for ATTR. Two custom-made CNN architectures were trained to discriminate between the four Perugini grades of cardiac uptake. The classification performance was compared to four state-of-the-art CNN models. RESULTS Our CNN models performed better than, or equally well as, the state-of-the-art models in detection and classification of cardiac uptake. Both models achieved area under the curve (AUC) ≥ 0.85 in the four-class Perugini grade classification. Accuracy was good in detection of negative vs. positive ATTR patients (grade < 2 vs grade ≥ 2, AUC > 0.88) and high-grade cardiac uptake vs. other patients (grade < 3 vs. grade 3, AUC = 0.94). Maximum activation maps demonstrated that the automated deep learning models were focused on detecting the myocardium and not extracardiac features. CONCLUSION Automated convolutional neural networks can accurately detect and classify different grades of cardiac uptake on bone scintigraphy. The CNN models are focused on clinically relevant image features. Automated screening of bone scintigraphy images using CNN could improve the early diagnosis of ATTR.
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Affiliation(s)
- Hanna-Leena Halme
- Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Toni Ihalainen
- Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Olli Suomalainen
- Heart and Lung Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Antti Loimaala
- Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sorjo Mätzke
- Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Valtteri Uusitalo
- Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Outi Sipilä
- Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Eero Hippeläinen
- Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland. .,Department of Physics, University of Helsinki, Helsinki, Finland.
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Murtomäki K, Mertsalmi T, Jaakkola E, Mäkinen E, Levo R, Nojonen T, Eklund M, Nuuttila S, Lindholm K, Pekkonen E, Joutsa J, Noponen T, Ihalainen T, Kaasinen V, Scheperjans F. Gastrointestinal Symptoms and Dopamine Transporter Asymmetry in Early Parkinson's Disease. Mov Disord 2022; 37:1284-1289. [PMID: 35274368 PMCID: PMC9314058 DOI: 10.1002/mds.28986] [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] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 02/01/2022] [Accepted: 02/13/2022] [Indexed: 11/09/2022] Open
Abstract
Background The neurophysiological correlates of gastrointestinal symptoms (GISs) in Parkinson's disease (PD) are not well understood. It has been proposed that in patients with a gastrointestinal origin of PD dopaminergic neurodegeneration would be more symmetric. Objectives The aim is to assess the associations between GISs and asymmetry of nigrostriatal dopaminergic neurodegeneration in PD. Methods Ninety PD patients were assessed using motor and GIS scales and 123I‐FP‐CIT SPECT. We calculated the asymmetry index and the predominant side of motor symptoms and dopamine transporter (DAT) imaging defect and assessed their association with GISs. Results There were no significant differences in GISs between symmetric and asymmetric dopaminergic defect. Left predominant defect was related to more GIS and higher constipation scores. Conclusions GISs were associated with left predominant reduction in putaminal DAT binding but not asymmetry per se. It remains open whether left‐sided DAT deficit is related to more pronounced GI involvement or symptom perception in PD. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson Movement Disorder Society.
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Affiliation(s)
- Kirsi Murtomäki
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Tuomas Mertsalmi
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Elina Jaakkola
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Elina Mäkinen
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland.,Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Reeta Levo
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Tanja Nojonen
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Mikael Eklund
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland.,Turku PET Centre, Turku University Hospital, Turku, Finland.,Turku Brain and Mind Center, University of Turku, Turku, Finland
| | - Simo Nuuttila
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Kari Lindholm
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Eero Pekkonen
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Juho Joutsa
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland.,Turku PET Centre, Turku University Hospital, Turku, Finland.,Turku Brain and Mind Center, University of Turku, Turku, Finland
| | - Tommi Noponen
- Department of Clinical Physiology and Nuclear Medicine, Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Toni Ihalainen
- HUS Medical Imaging Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Valtteri Kaasinen
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Filip Scheperjans
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
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Saarinen T, Pietiläinen KH, Loimaala A, Ihalainen T, Sammalkorpi H, Penttilä A, Juuti A. Bile Reflux is a Common Finding in the Gastric Pouch After One Anastomosis Gastric Bypass. Obes Surg 2021; 30:875-881. [PMID: 31853864 PMCID: PMC7347680 DOI: 10.1007/s11695-019-04353-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Data on postoperative bile reflux after one anastomosis gastric bypass (OAGB) is lacking. Bile reflux scintigraphy (BRS) has been shown to be a reliable non-invasive tool to assess bile reflux after OAGB. We set out to study bile reflux after OAGB with BRS and endoscopy in a prospective series (RYSA Trial). METHODS Forty patients (29 women) underwent OAGB between November 2016 and December 2018. Symptoms were reported and upper gastrointestinal endoscopy (UGE) was done preoperatively. Six months after OAGB, bile reflux was assessed in UGE findings and as tracer activity found in gastric tube and esophagus in BRS (follow-up rate 95%). RESULTS Twenty-six patients (68.4%) had no bile reflux in BRS. Twelve patients (31.6%) had bile reflux in the gastric pouch in BRS and one of them (2.6%) had bile reflux also in the esophagus 6 months postoperatively. Mean bile reflux activity in the gastric pouch was 5.2% (1-21%) of total activity. De novo findings suggestive of bile reflux (esophagitis, stomal ulcer, foveolar inflammation of gastric pouch) were found for 15 patients (39.5%) in postoperative UGE. BRS and UGE findings were significantly associated (P = 0.022). Eight patients experienced de novo reflux symptoms at 6 months, that were significantly associated with BRS and de novo UGE findings postoperatively (P = 0.033 and 0.0005, respectively). CONCLUSION Postoperative bile reflux in the gastric pouch after OAGB is a common finding in scintigraphy and endoscopy. The long-term effects of bile exposure will be analyzed in future reports after a longer follow-up. TRIAL REGISTRATION Clinical Trials Identifier NCT02882685.
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Affiliation(s)
- Tuure Saarinen
- Department of Gastrointestinal Surgery, Helsinki University Hospital, Abdominal Center, Helsinki, Finland. .,HUS Jorvi Hospital, Turuntie 150, 02740, Espoo, Finland. .,Department of Gastrointestinal Surgery, Helsinki University Hospital, Abdominal Center, Haartmaninkatu 4, 00029 HUS, Helsinki, Finland.
| | - Kirsi H Pietiläinen
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Haartmaninkatu 4, 00029 HUS, Helsinki, Finland.,Department of Endocrinology, Helsinki University Hospital, Abdominal Center, Haartmaninkatu 4, 00029 HUS, Helsinki, Finland
| | - Antti Loimaala
- HUS Medical Imaging Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 4, 00029 HUS, Helsinki, Finland
| | - Toni Ihalainen
- HUS Medical Imaging Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 4, 00029 HUS, Helsinki, Finland
| | - Henna Sammalkorpi
- Department of Gastrointestinal Surgery, Helsinki University Hospital, Abdominal Center, Haartmaninkatu 4, 00029 HUS, Helsinki, Finland
| | - Anne Penttilä
- Department of Gastrointestinal Surgery, Helsinki University Hospital, Abdominal Center, Haartmaninkatu 4, 00029 HUS, Helsinki, Finland
| | - Anne Juuti
- Department of Gastrointestinal Surgery, Helsinki University Hospital, Abdominal Center, Haartmaninkatu 4, 00029 HUS, Helsinki, Finland
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Ihalainen T, Rinta-Kiikka I, Luoto TM, Koskinen EA, Korpijaakko-Huuhka AM, Ronkainen A. Traumatic cervical spinal cord injury: a prospective clinical study of laryngeal penetration and aspiration. Spinal Cord 2017. [PMID: 28631744 DOI: 10.1038/sc.2017.71] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
STUDY DESIGN Prospective cohort study. OBJECTIVES Dysphagia is a relatively common secondary complication in patients with traumatic cervical spinal cord injuries (TCSCI). The purpose of this study was to determine the incidence of aspiration and penetration in patients with acute TCSCI. SETTING Tampere University Hospital, Tampere, Finland. METHODS A total of 46 patients with TCSCI were evaluated with a videofluoroscopic swallowing study (VFSS). Rosenbek's penetration-aspiration scale (PAS) was used to classify the degree of penetration or aspiration. The medical records of each patient were systematically reviewed. RESULTS Of the 46 patients, 85% were male. The mean age at the time of the injury was 62.1 years. Most patients had an incomplete injury (78%), and most of them due to a fall (78%). In the VFSS 19 (41%) patients penetrated and 15 (33%) aspirated. Only 12 (26%) of the patients had a PAS score of 1 indicating that swallowed material did not enter the airway. Of the patients who aspirated, 73% had silent aspiration. CONCLUSION The incidence of penetration or aspiration according to VFSS is high in this cohort of patients with TCSCI. Therefore, the swallowing function of patients with acute TCSCI should be routinely evaluated before initiating oral feeding. VFSS is highly recommended, particularly to rule out the possibility of silent aspiration and to achieve information on safe nutrition consistency.
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Affiliation(s)
- T Ihalainen
- Department of Neurosciences and Rehabilitation, Tampere University Hospital, Tampere, Finland.,Faculty of Social Sciences, University of Tampere, Tampere, Finland
| | - I Rinta-Kiikka
- Department of Radiology, Medical Imaging Centre of Pirkanmaa Hospital District, Tampere University Hospital, Tampere, Finland
| | - T M Luoto
- Department of Neurosurgery, Tampere University Hospital, Tampere, Finland
| | - E A Koskinen
- Department of Neurosciences and Rehabilitation, Tampere University Hospital, Tampere, Finland
| | | | - A Ronkainen
- Department of Neurosurgery, Tampere University Hospital, Tampere, Finland
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Ihalainen T, Kuusela L, Soikkeli M, Lantto E, Ovissi A, Sipilä O. A body-sized phantom for evaluation of diffusion-weighted MRI data using conventional, readout-segmented, and zoomed echo-planar sequences. Acta Radiol 2016; 57:947-54. [PMID: 26543056 DOI: 10.1177/0284185115613652] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Accepted: 09/25/2015] [Indexed: 01/22/2023]
Abstract
BACKGROUND Abdominal diffusion-weighted imaging (DWI) has been rapidly increasing during the last few years. For the evaluation of new DWI techniques, the development of suitable phantoms and quality assurance methods is important. PURPOSE To construct a body-diameter phantom for abdominal DWI and study the impact of different acquisition options on image quality. MATERIAL AND METHODS A phantom with a diameter of 31 cm and a volume of 26 L was constructed, containing four samples representing a clinically relevant range of apparent diffusion coefficient (ADC) values. Measurements were carried out on 1.5T and 3.0T MRI systems using conventional echo-planar imaging (EPI), readout-segmented EPI, and zoomed EPI (3.0T) sequences. The effects of parallel imaging, coil intensity normalization, and patient-specific B1 shim (3.0T) were also examined. ADC values and signal-to-noise ratios of the samples were measured, and the level of artifacts was visually evaluated. RESULTS The agreement of ADC values between different acquisition options was generally good, but higher values (by 0.07 × 10(-3) mm(2)/s on the average) with readout-segmented EPI as well as ADC variations of approximately 0.1 × 10(-3) mm(2)/s in slice direction were observed. The image artifacts were reduced by using patient-specific B1 shim, readout-segmented EPI, or zoomed EPI. CONCLUSION The body-sized phantom demonstrated well the expected image artifacts in DWI with large field of view. The use of patient-specific B1 shim, readout-segmented EPI, or zoomed EPI improved image quality of DWI in this study.
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Affiliation(s)
- Toni Ihalainen
- HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Physics, University of Helsinki, Helsinki, Finland
| | - Linda Kuusela
- HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Physics, University of Helsinki, Helsinki, Finland
| | - Maiju Soikkeli
- Department of Chemistry, University of Helsinki, Helsinki, Finland
| | - Eila Lantto
- HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Ali Ovissi
- HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Outi Sipilä
- HUS Medical Imaging Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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8
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Hippeläinen E, Nikkinen P, Ihalainen T, Uusi-Simola J, Savolainen S. Personal radiation doses in PET/CT facility: measurements vs. calculations. Radiat Prot Dosimetry 2008; 132:57-63. [PMID: 18713782 DOI: 10.1093/rpd/ncn213] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
The estimation of shielding requirement of a new positron emission tomography (PET) facility is essential. Because of penetrating annihilation photons, not only radiation safety in the vicinity of patients should be considered, but also rooms adjacent to uptake and imaging rooms should be taken into account. Before installing a PET/CT camera to nuclear medicine facilities of Helsinki University Central Hospital (HUCH), a typical PET imaging day was simulated using phantoms. Phantoms were filled with 300 +/- 36 MBq of (18)F isotope and dose rates were measured at 12 central locations in the laboratory. In addition to measurements, dose rates were also calculated using guidelines of AAPM Task Group 108. The relationship between the measured and calculated dose rates was found to be good and statistically significant, using Pearson's correlation test. The evaluated monthly doses were compared with personal dosemeter readings. AAPM's report gives practical tools for evaluation of radiation shielding. Calculations can be carried out successfully for existing hospital complexes too. However, calculations should be carried out carefully, because especially doors, windows and partitions can easily cause underestimation of shielding requirements as shown in this work.
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Affiliation(s)
- E Hippeläinen
- Department of Physics, University of Helsinki, FI-00014 Helsinki, Finland
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Hakumäki J, Räty J, Wirth T, Huhtala T, Ihalainen T, Vihinen-Ranta M, Närvänen A, Ylä-Herttuala S. CMR 2005: 12.06: Ultra-small iron oxide nanoparticle (USPIO)-labeled baculoviruses as novel MRI agents for imaging viral vector biodistributionin vivo. Contrast Media Mol Imaging 2006. [DOI: 10.1002/cmmi.71] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Ihalainen T, Sipilä O, Savolainen S. MRI quality control: six imagers studied using eleven unified image quality parameters. Eur Radiol 2004; 14:1859-65. [PMID: 14997335 DOI: 10.1007/s00330-004-2278-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2003] [Revised: 01/07/2004] [Accepted: 02/02/2004] [Indexed: 12/01/2022]
Abstract
Quality control of the magnetic resonance imagers of different vendors in the clinical environment is non-harmonised, and comparing the performance is difficult. The purpose of this study was to develop and apply a harmonised long-term quality control protocol for the six imagers in our organisation in order to assure that they fulfil the same basic image quality requirements. The same Eurospin phantom set and identical imaging parameters were used with each imager. Values of 11 comparable parameters describing the image quality were measured. Automatic image analysis software was developed to objectively analyse the images. The results proved that the imagers were operating at a performance level adequate for clinical imaging. Some deficiencies were detected in image uniformity and geometry. The automated analysis of the Eurospin phantom images was successful. The measurements were successfully repeated after 2 weeks on one imager and after half a year on all imagers. As an objective way of examining the image quality, this kind of comparable and objective quality control of different imagers is considered as an essential step towards harmonisation of the clinical MRI studies through a large hospital organisation.
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Affiliation(s)
- T Ihalainen
- Department of Radiology, Helsinki University Central Hospital, P.O. Box 340, Helsinki, Finland
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