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Zou X, Chen X, Wen Y, Jing X, Luo M, Xin F, Tang Y, Hu M, Liu J, Xu F. Gastric-filling ultrasonography to evaluate gastric motility in patients with Parkinson's disease. Front Neurol 2024; 15:1294260. [PMID: 38410194 PMCID: PMC10895041 DOI: 10.3389/fneur.2024.1294260] [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: 09/14/2023] [Accepted: 01/25/2024] [Indexed: 02/28/2024] Open
Abstract
Background Delayed gastric emptying is a common non-motor symptom of Parkinson's disease (PD). However, there is currently no objective evaluation and diagnostic method for this condition. Objectives The purpose of this study was to evaluate the feasibility of gastric-filling ultrasonography for gastric motility in patients with PD and the relationship between gastric dynamics and gastrointestinal symptoms and motor symptoms of PD. Design setting and patients We performed a case-control study with 38 patients with PD and 34 healthy controls. Methods All patients underwent a 120-min ultrasonography examination using a 500-ml semi-liquid test meal. We determined the antral contraction amplitude (ACA), the antrum contraction frequency (ACF), the motility index (MI), and the gastric antral cross-sectional area (CSA). We acquired the CSA at six time points: fasting for 12 h (T0), immediately after drinking the semi-liquid test meal (T1); and at 30 (T30), 60 (T60), 90 (T90), and 120 (T120) min. We calculated the gastric emptying rate (GER) at different time points by using the CSA. We compared the GER between the groups and evaluated the correlation between the GER and gastrointestinal symptoms and motor symptoms of PD. Results The MI and ACF were significantly lower in the PD group compared with the control group (P < 0.05). The GER at T30 and the ACA showed no significant difference between the groups (P > 0.05). At different time points, the GER was significantly different between the PD and control groups (P < 0.001). There was no significant association between the GER and gastrointestinal symptoms; none of them were risk factors for impaired gastric emptying (odds ratio > 1). The GER was negatively correlated with the severity of PD motor symptoms (P < 0.05). Conclusion Patients with PD had significantly delayed gastric emptying, which was negatively correlated with the severity of PD motor symptoms. Measuring gastric emptying by gastric-filling ultrasound had good diagnostic value in clinical screening for delayed gastric motility in patients with PD. Clinical Trial Registration https://www.chictr.org.cn/showproj.html?proj=126304.
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Affiliation(s)
- Xianwei Zou
- Department of Neurology, First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Xiaqing Chen
- Department of Neurology, First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Yanxia Wen
- Department of Neurology, First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Xiaofeng Jing
- Department of Public Health, Chengdu Medical College, Chengdu, Sichuan, China
| | - Man Luo
- Department of Neurology, First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Fengyue Xin
- Department of Ultrasonography, First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Yao Tang
- Department of Neurology, First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Mengfei Hu
- Department of Neurology, First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Jian Liu
- Department of Ultrasonography, First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Fan Xu
- Department of Public Health, Chengdu Medical College, Chengdu, Sichuan, China
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Bertoli D, Mark EB, Liao D, Brock C, Brock B, Knop FK, Krogh K, Frøkjær JB, Drewes AM. Pan-alimentary assessment of motility, luminal content, and structures: an MRI-based framework. Scand J Gastroenterol 2023; 58:1378-1390. [PMID: 37431198 DOI: 10.1080/00365521.2023.2233036] [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: 04/17/2023] [Accepted: 07/01/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND Gastrointestinal symptoms originating from different segments overlap and complicate diagnosis and treatment. In this study, we aimed to develop and test a pan-alimentary framework for the evaluation of gastrointestinal (GI) motility and different static endpoints based on magnetic resonance imaging (MRI) without contrast agents or bowel preparation. METHODS Twenty healthy volunteers (55.6 ± 10.9 years, BMI 30.8 ± 9.2 kg/m2) underwent baseline and post-meal MRI scans at multiple time points. From the scans, the following were obtained: Gastric segmental volumes and motility, emptying half time (T50), small bowel volume and motility, colonic segmental volumes, and fecal water content. Questionnaires to assess GI symptoms were collected between and after MRI scans. KEY RESULTS We observed an increase in stomach and small bowel volume immediately after meal intake from baseline values (p<.001 for the stomach and p=.05 for the small bowel). The volume increase of the stomach primarily involved the fundus (p<.001) in the earliest phase of digestion with a T50 of 92.1 ± 35.3 min. The intake of the meal immediately elicited a motility increase in the small bowel (p<.001). No differences in colonic fecal water content between baseline and 105 min were observed. CONCLUSION & INFERENCES We developed a framework for a pan-alimentary assessment of GI endpoints and observed how different dynamic and static physiological endpoints responded to meal intake. All endpoints aligned with the current literature for individual gut segments, showing that a comprehensive model may unravel complex and incoherent gastrointestinal symptoms in patients.
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Affiliation(s)
- Davide Bertoli
- Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Esben B Mark
- Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Donghua Liao
- Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Christina Brock
- Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
| | - Birgitte Brock
- Department of Clinical Research, Steno Diabetes Center Copenhagen (SDCC), Copenhagen, Denmark
| | - Filip K Knop
- Department of Clinical Research, Steno Diabetes Center Copenhagen (SDCC), Copenhagen, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Klaus Krogh
- Department of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark
| | - Jens B Frøkjær
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Mech-Sense, Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Asbjorn M Drewes
- Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
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Wang X, Cao J, Han K, Choi M, She Y, Scheven UM, Avci R, Du P, Cheng LK, Natale MRD, Furness JB, Liu Z. Diffeomorphic Surface Modeling for MRI-Based Characterization of Gastric Anatomy and Motility. IEEE Trans Biomed Eng 2023; 70:2046-2057. [PMID: 37018592 PMCID: PMC10443119 DOI: 10.1109/tbme.2023.3234509] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Gastrointestinal magnetic resonance imaging (MRI) provides rich spatiotemporal data about the movement of the food inside the stomach, but does not directly report muscular activity on the stomach wall. Here we describe a novel approach to characterize the motility of the stomach wall that drives the volumetric changes of the ingesta. METHODS A neural ordinary differential equation was optimized to model a diffeomorphic flow that ascribed the deformation of the stomach wall to a continuous biomechanical process. Driven by this diffeomorphic flow, the surface of the stomach progressively changes its shape over time, while preserving its topology and manifoldness. RESULTS We tested this approach with MRI data collected from 10 rats under a lightly anesthetized condition, and demonstrated accurate characterization of gastric motor events with an error in the order of sub-millimeters. Uniquely, we characterized gastric anatomy and motility with a surface coordinate system common at both individual and group levels. Functional maps were generated to reveal the spatial, temporal, and spectral characteristics of muscle activity and its coordination across different regions. The peristalsis at the distal antrum had a dominant frequency and peak-to-peak amplitude of [Formula: see text] cycles per minute and [Formula: see text] mm, respectively. The relationship between muscle thickness and gastric motility was found to be distinct between two functional regions in the proximal and distal stomach. CONCLUSION These results demonstrate the efficacy of using MRI to model gastric anatomy and function. SIGNIFICANCE The proposed approach is expected to enable non-invasive and accurate mapping of gastric motility for preclinical and clinical studies.
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Hosseini S, Avci R, Paskaranandavadivel N, Suresh V, Cheng LK. Quantification of the Regional Properties of Gastric Motility Using Dynamic Magnetic Resonance Images. IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY 2023; 4:38-44. [PMID: 37138590 PMCID: PMC10151011 DOI: 10.1109/ojemb.2023.3261224] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 01/16/2023] [Accepted: 03/14/2023] [Indexed: 05/05/2023] Open
Abstract
Goal: To quantify the regional properties of gastric motility from free-breathing dynamic MRI data. Methods: Free-breathing MRI scans were performed on 10 healthy human subjects. Motion correction was applied to reduce the respiratory effect. A stomach centerline was automatically generated and used as a reference axis. Contractions were quantified and visualized as spatio-temporal contraction maps. Gastric motility properties were reported separately for the lesser and greater curvatures in the proximal and distal regions of the stomach. Results: Motility properties varied in different regions of the stomach. The mean contraction frequencies for the lesser and greater curvatures were both 3.1±0.4 cycles per minute. The contraction speed was significantly higher on the greater curvature than the lesser curvature (3.5±0.7 vs 2.5±0.4 mm/s, p<0.001) while contraction size on both curvatures was comparable (4.9±1.2 vs 5.7±2.4 mm, p = 0.326). The mean gastric motility index was significantly higher in the distal greater curvature (28.13±18.89 mm2/s) compared to the other regions of the stomach (11.16-14.12 mm2/s). Conclusions: The results showed the effectiveness of the proposed method for visualization and quantification of motility patterns from MRI data.
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Affiliation(s)
- Saeed Hosseini
- Auckland Bioengineering InstituteUniversity of Auckland Auckland 1010 New Zealand
- Riddet Institute Palmerston North 4474 New Zealand
| | - Recep Avci
- Auckland Bioengineering InstituteUniversity of Auckland Auckland 1010 New Zealand
| | | | - Vinod Suresh
- Auckland Bioengineering InstituteUniversity of Auckland Auckland 1010 New Zealand
- Department of Engineering ScienceUniversity of Auckland Auckland 1010 New Zealand
| | - Leo K Cheng
- Auckland Bioengineering InstituteUniversity of Auckland Auckland 1010 New Zealand
- Riddet InstitutePalmerston North 4474 New Zealand
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Keszthelyi D, Beckers A. Technical advances allow in-depth understanding of the gut-brain interaction-yet important caveats remain. Neurogastroenterol Motil 2022; 34:e14446. [PMID: 35946060 DOI: 10.1111/nmo.14446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 08/01/2022] [Indexed: 02/08/2023]
Affiliation(s)
- Daniel Keszthelyi
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Abraham Beckers
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
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Sclocco R, Fisher H, Staley R, Han K, Mendez A, Bolender A, Coll-Font J, Kettner NW, Nguyen C, Kuo B, Napadow V. Cine gastric MRI reveals altered Gut-Brain Axis in Functional Dyspepsia: gastric motility is linked with brainstem-cortical fMRI connectivity. Neurogastroenterol Motil 2022; 34:e14396. [PMID: 35560690 PMCID: PMC9529794 DOI: 10.1111/nmo.14396] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/31/2022] [Accepted: 04/25/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Functional dyspepsia (FD) is a disorder of gut-brain interaction, and its putative pathophysiology involves dysregulation of gastric motility and central processing of gastric afference. The vagus nerve modulates gastric peristalsis and carries afferent sensory information to brainstem nuclei, specifically the nucleus tractus solitarii (NTS). Here, we combine MRI assessment of gastric kinematics with measures of NTS functional connectivity to the brain in patients with FD and healthy controls (HC), in order to elucidate how gut-brain axis communication is associated with FD pathophysiology. METHODS Functional dyspepsia and HC subjects experienced serial gastric MRI and brain fMRI following ingestion of a food-based contrast meal. Gastric function indices estimated from 4D cine MRI data were compared between FD and HC groups using repeated measure ANOVA models, controlling for ingested volume. Brain connectivity of the NTS was contrasted between groups and associated with gastric function indices. KEY RESULTS Propagation velocity of antral peristalsis was significantly lower in FD compared to HC. The brain network defined by NTS connectivity loaded most strongly onto the Default Mode Network, and more strongly onto the Frontoparietal Network in FD. FD also demonstrated higher NTS connectivity to insula, anterior cingulate and prefrontal cortices, and pre-supplementary motor area. NTS connectivity was linked to propagation velocity in HC, but not FD, whereas peristalsis frequency was linked with NTS connectivity in patients with FD. CONCLUSIONS & INFERENCES Our multi-modal MRI approach revealed lower peristaltic propagation velocity linked to altered brainstem-cortical functional connectivity in patients suffering from FD suggesting specific plasticity in gut-brain communication.
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Affiliation(s)
- Roberta Sclocco
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Radiology, Harvard Medical School, Charlestown, MA, USA
- Department of Radiology, Logan University, Chesterfield, MO, USA
| | - Harrison Fisher
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Radiology, Harvard Medical School, Charlestown, MA, USA
| | - Rowan Staley
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Radiology, Harvard Medical School, Charlestown, MA, USA
- Department of Gastroenterology and Center for Neurointestinal Health, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kyungsun Han
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Radiology, Harvard Medical School, Charlestown, MA, USA
- Korean Institute of Oriental Medicine, Daejeon, Korea
| | - April Mendez
- Department of Gastroenterology and Center for Neurointestinal Health, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew Bolender
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Radiology, Harvard Medical School, Charlestown, MA, USA
- Department of Gastroenterology and Center for Neurointestinal Health, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jaume Coll-Font
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA
| | | | - Christopher Nguyen
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA
- Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Braden Kuo
- Department of Gastroenterology and Center for Neurointestinal Health, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Vitaly Napadow
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Radiology, Harvard Medical School, Charlestown, MA, USA
- Department of Radiology, Logan University, Chesterfield, MO, USA
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