Pediatric Neurological DisorderNCT06682624
MRI in Pediatric Inherited Neurodegnerative Changes
An observational study of Pediatric Neurological Disorder, run by Sohag University at 1 site in Egypt.
Trial summary
This study aims to evaluate the diagnostic capability of brain MRI in establishing pattern recognition approach in pediatric inherited neurodegenerative disorders. Therefore, taking into consideration specific MRI findings, we aim to highlight the potential of MRI to predict the diagnosis of pediatric inherited… Read more about this study
- Who is it for?
- Ages Up to 18 years
- Conditions the study is for
- Pediatric Neurological Disorder
- What is being tested?
- MRI
- Type of treatment
- Medical device
- How many people
- 40 participants
- Where
- 1 siteEgypt
- Study dates
- Jan 2025to Dec 2026
- How long will I take part?
- 1 Year
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Up to 18 years
- All sexes
- No healthy volunteers
- Child, Adult
Study population: forty patients of both sexes from day one of life until 18 years.
Who may be able to join
- Patients with clinical suspicion of neuro-developmental delay and metabolic disease consulted for or referred to pediatric neurology.
- Patients known to have inherited neurodegenerative diseases under follow-up.
Who cannot join
- Patients with prior histories of perinatal ischemia or stroke, hypoxic-ischemic encephalopathy, birth trauma or accident, or known systemic diseases (congenital heart disease, renal failure, or autoimmune disorders) will be excluded.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Yasmin Asem Abu Elwafa Elsayed, Assistant lecturer contact
Hisham Amein Yousef, Assistant professor contact
Egypt1 site
Sohag University
Sohag, Sohag Governorate, 82524
Yasmin Asem Abu Elwafa Elsaid, Assistant Lecturer, +0201007680891, yasminelsheikh@med.sohag.edu.eg
Hisham Amein Yousef, Assistant professor, +0201151152564
About this study
Official title: Magnetic Resonance Imaging Pattern Recognition Approach in Pediatric Inherited Neurodegenerative Diseases
This study aims to evaluate the diagnostic capability of brain MRI in establishing pattern recognition approach in pediatric inherited neurodegenerative disorders.
Therefore, taking into consideration specific MRI findings, we aim to highlight the potential of MRI to predict the diagnosis of pediatric inherited neurodegenerative diseases.
Read the detailed description
Pediatric inherited neurodegenerative diseases are non-homogenous group of diseases caused by inborn errors of metabolism (IEMs) that mainly impact the central nervous system. They typically affect newborns and infants . Genetic defects causing specific enzyme deficiencies that lead to deficiency or toxic accumulation of essential metabolites with specific biochemical and molecular abnormalities are the cause of these diseases .
Inborn errors of metabolism are uncommon, which leads to a lack of experience for most neuroradiologists to diagnose these disorders easily. Moreover, most of these disorders manifest in nonspecific manner, creating a diagnostic difficulty for pediatricians, neurologists, and geneticists .
Clinical presentation may be confusing and potentially lead to a delay in the diagnosis and treatment. Incidence of these disorders may vary from one region to another, being higher in communities with consanguineous marriages, ranging from 1.2 to 2 per 100,000 live births. Most exhibit an autosomal recessive mode of inheritance and fewer exhibit an X-linked mode of inheritance.
Multiple methods can be used to classify neurometabolic diseases according to their clinical presentation, biochemical features, impacted cellular organelle, or involved location of the brain.
As a non-invasive means, neuroimaging approaches play a major role in increasing diagnostic accuracy and patient follow-up in IEM by assessing the timing, degree, reversibility, and brain injury.
Imaging based classification includes leukodystrophy (primary involvement of white matter due to genetic abnormality), leukoencephalopathy (secondary involvement of white matter either due to genetic or acquired systemic disorder), poliodystrophy (predominant involvement of grey matter), and pandystrophy (mixed involvement of both white and grey matter).
White matter of the central nervous system is usually affected due to many pathological processes such as delayed myelination (myelin maturation delayed for expected age), hypomyelination (scarcity of myelin or arrest in myelination process), dysmyelination (deposition of abnormally composed fragile myelin), demyelination (secondary loss of myelin that may have been previously normal) and myelinopathy (vacuolation due to deranged brain iron and water hemostasis).
The preferred method for evaluating pediatric inherited neurodegenerative disorders is magnetic resonance imaging (MRI). Examining MRI patterns and clinical indicators aids in narrowing the differential and customizing further laboratory (focused metabolomics) or genetic research.
Magnetic resonance imaging (MRI) can be useful and even crucial for prompt treatment before the receipt of expensive and time-consuming results from genetic or biochemical tests.
- Conditions
- Pediatric Neurological Disorder
- Being tested
- MRI
- Keywords
- MRI pediatric neurodegenerative diseases
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
MRIDevice
Magnetic Resonance Imaging in recognition of pediatric neurodegenerative disease patterns
What is being measured
The primary outcome is the main question the study is designed to answer.
assessing the MRI patterns of recognition of pediatric neurodegenerative diseases
The ability of MRI to diagnose pediatric neurodegenerative diseases based on their characteristic imaging findings correlated to clinical and laboratory findings.
Measured: baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Nov 2024
- Study startJan 2025 (estimated)
- Primary completionJan 2026 (estimated)
- Study completionDec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (10)Papers the sponsor has linked to this study.
- Other trials for Pediatric Neurological DisorderStudies of the same condition, open and under way.
- More trials run by Sohag UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 40 participants (estimated)
- Target duration
- 1 Year
Sponsor and investigators
- Lead sponsor
- Sohag University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Yasmin Asem Abulelwafa, Sohag University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06682624
- Sponsor's protocol ID
- MRI in neurodegenerative
- Status last verified
- Nov 2024
- First submitted
- 8 Nov 2024
- Last updated
- 19 Nov 2024
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- Undecided
Publications
van der Knaap MS, Schiffmann R, Mochel F, Wolf NI. Diagnosis, prognosis, and treatment of leukodystrophies. Lancet Neurol. 2019 Oct;18(10):962-972. doi: 10.1016/S1474-4422(19)30143-7. Epub 2019 Jul 12.
PubMed 31307818Datar R, Prasad AN, Tay KY, Rupar CA, Ohorodnyk P, Miller M, Prasad C. Magnetic resonance imaging in the diagnosis of white matter signal abnormalities. Neuroradiol J. 2018 Aug;31(4):362-371. doi: 10.1177/1971400918764016. Epub 2018 Mar 8.
PubMed 29517408Loftus JR, Puri S, Meyers SP. Multimodality imaging of neurodegenerative disorders with a focus on multiparametric magnetic resonance and molecular imaging. Insights Imaging. 2023 Jan 16;14(1):8. doi: 10.1186/s13244-022-01358-6.
PubMed 36645560Lim YT, Mankad K, Kinali M, Tan AP. Neuroimaging Spectrum of Inherited Neurotransmitter Disorders. Neuropediatrics. 2020 Feb;51(1):6-21. doi: 10.1055/s-0039-1698422. Epub 2019 Oct 21.
PubMed 31634934Lai LM, Gropman AL, Whitehead MT. MR Neuroimaging in Pediatric Inborn Errors of Metabolism. Diagnostics (Basel). 2022 Mar 30;12(4):861. doi: 10.3390/diagnostics12040861.
PubMed 35453911Alamri A, Aljadhai YI, Alrashed A, Alfheed B, Abdelmoaty R, Alenazi S, Alhashim A, Benini R. Identifying Clinical Clues in Children With Global Developmental Delay / Intellectual Disability With Abnormal Brain Magnetic Resonance Imaging (MRI). J Child Neurol. 2021 May;36(6):432-439. doi: 10.1177/0883073820977330. Epub 2020 Dec 9.
PubMed 33295251Soni N, Ora M, Bathla G, Nagaraj C, Boles Ponto LL, Graham MM, Saini J, Menda Y. Multiparametric magnetic resonance imaging and positron emission tomography findings in neurodegenerative diseases: Current status and future directions. Neuroradiol J. 2021 Aug;34(4):263-288. doi: 10.1177/1971400921998968. Epub 2021 Mar 5.
PubMed 33666110Wenger KJ, Koldijk CE, Hattingen E, Porto L, Kurre W. Characterization of MRI White Matter Signal Abnormalities in the Pediatric Population. Children (Basel). 2023 Jan 24;10(2):206. doi: 10.3390/children10020206.
PubMed 36832335Al Orf A, Waheed KB, Ali EM, Muhammad AK, Al Zahrani FM, Seth SA, Al Jubair NN, Harisi HS, Arulanantham ZJ. Inherited paediatric neurometabolic disorders, can brain magnetic resonance imaging predict? Neurosciences (Riyadh). 2020 Oct;25(5):392-398. doi: 10.17712/nsj.2020.5.20200072.
PubMed 33459289Aksoy DO, Alkan A. Neurometabolic Diseases in Children: Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy Features. Curr Med Imaging Rev. 2019;15(3):255-268. doi: 10.2174/1573405613666171123152451.
PubMed 31989877
Study at a glance
From the registry record, last updated by the sponsor on 19 Nov 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Magnetic Resonance Imaging Pattern Recognition Approach in Pediatric Inherited Neurodegenerative Diseases
- ClinicalTrials.gov ID
- NCT06682624
- Acronym / sponsor ID
- MRI in neurodegenerative
- Conditions
- Pediatric Neurological Disorder
- Keywords
- MRI pediatric neurodegenerative diseases
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 40 participants (estimated)
- Lead sponsor
- Sohag UniversityUniversity, hospital or other
- Study start
- Jan 2025 (estimated)
- Primary completion
- Jan 2026 (estimated)
- Study completion
- Dec 2026 (estimated)
- First posted
- 12 Nov 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study aims to evaluate the diagnostic capability of brain MRI in establishing pattern recognition approach in pediatric inherited neurodegenerative disorders.
Therefore, taking into consideration specific MRI findings, we aim to highlight the potential of MRI to predict the diagnosis of pediatric inherited neurodegenerative diseases.
Detailed description
Pediatric inherited neurodegenerative diseases are non-homogenous group of diseases caused by inborn errors of metabolism (IEMs) that mainly impact the central nervous system. They typically affect newborns and infants . Genetic defects causing specific enzyme deficiencies that lead to deficiency or toxic accumulation of essential metabolites with specific biochemical and molecular abnormalities are the cause of these diseases .
Inborn errors of metabolism are uncommon, which leads to a lack of experience for most neuroradiologists to diagnose these disorders easily. Moreover, most of these disorders manifest in nonspecific manner, creating a diagnostic difficulty for pediatricians, neurologists, and geneticists .
Clinical presentation may be confusing and potentially lead to a delay in the diagnosis and treatment. Incidence of these disorders may vary from one region to another, being higher in communities with consanguineous marriages, ranging from 1.2 to 2 per 100,000 live births. Most exhibit an autosomal recessive mode of inheritance and fewer exhibit an X-linked mode of inheritance.
Multiple methods can be used to classify neurometabolic diseases according to their clinical presentation, biochemical features, impacted cellular organelle, or involved location of the brain.
As a non-invasive means, neuroimaging approaches play a major role in increasing diagnostic accuracy and patient follow-up in IEM by assessing the timing, degree, reversibility, and brain injury.
Imaging based classification includes leukodystrophy (primary involvement of white matter due to genetic abnormality), leukoencephalopathy (secondary involvement of white matter either due to genetic or acquired systemic disorder), poliodystrophy (predominant involvement of grey matter), and pandystrophy (mixed involvement of both white and grey matter).
White matter of the central nervous system is usually affected due to many pathological processes such as delayed myelination (myelin maturation delayed for expected age), hypomyelination (scarcity of myelin or arrest in myelination process), dysmyelination (deposition of abnormally composed fragile myelin), demyelination (secondary loss of myelin that may have been previously normal) and myelinopathy (vacuolation due to deranged brain iron and water hemostasis).
The preferred method for evaluating pediatric inherited neurodegenerative disorders is magnetic resonance imaging (MRI). Examining MRI patterns and clinical indicators aids in narrowing the differential and customizing further laboratory (focused metabolomics) or genetic research.
Magnetic resonance imaging (MRI) can be useful and even crucial for prompt treatment before the receipt of expensive and time-consuming results from genetic or biochemical tests.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 1 Year
Who may qualify
- Ages
- Up to 18 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult
- Study population
- forty patients of both sexes from day one of life until 18 years.
Key inclusion criteria (2 listed)
- Patients with clinical suspicion of neuro-developmental delay and metabolic disease consulted for or referred to pediatric neurology.
- Patients known to have inherited neurodegenerative diseases under follow-up.
Key exclusion criteria (1 listed)
- Patients with prior histories of perinatal ischemia or stroke, hypoxic-ischemic encephalopathy, birth trauma or accident, or known systemic diseases (congenital heart disease, renal failure, or autoimmune disorders) will be excluded.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| MRIMagnetic Resonance Imaging in recognition of pediatric neurodegenerative disease patterns | Device | – |
Primary outcome
assessing the MRI patterns of recognition of pediatric neurodegenerative diseases
Time frame: baseline
The ability of MRI to diagnose pediatric neurodegenerative diseases based on their characteristic imaging findings correlated to clinical and laboratory findings.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Nov 2024.
- Results publication: PubMed 31307818van der Knaap MS, Schiffmann R, Mochel F, Wolf NI. Diagnosis, prognosis, and treatment of leukodystrophies. Lancet Neurol. 2019 Oct;18(10):962-972. doi: 10.1016/S1474-4422(19)30143-7. Epub 2019 Jul 12.
- Results publication: PubMed 29517408Datar R, Prasad AN, Tay KY, Rupar CA, Ohorodnyk P, Miller M, Prasad C. Magnetic resonance imaging in the diagnosis of white matter signal abnormalities. Neuroradiol J. 2018 Aug;31(4):362-371. doi: 10.1177/1971400918764016. Epub 2018 Mar 8.
- Results publication: PubMed 36645560Loftus JR, Puri S, Meyers SP. Multimodality imaging of neurodegenerative disorders with a focus on multiparametric magnetic resonance and molecular imaging. Insights Imaging. 2023 Jan 16;14(1):8. doi: 10.1186/s13244-022-01358-6.
- Results publication: PubMed 31634934Lim YT, Mankad K, Kinali M, Tan AP. Neuroimaging Spectrum of Inherited Neurotransmitter Disorders. Neuropediatrics. 2020 Feb;51(1):6-21. doi: 10.1055/s-0039-1698422. Epub 2019 Oct 21.
- Results publication: PubMed 35453911Lai LM, Gropman AL, Whitehead MT. MR Neuroimaging in Pediatric Inborn Errors of Metabolism. Diagnostics (Basel). 2022 Mar 30;12(4):861. doi: 10.3390/diagnostics12040861.
- Results publication: PubMed 33295251Alamri A, Aljadhai YI, Alrashed A, Alfheed B, Abdelmoaty R, Alenazi S, Alhashim A, Benini R. Identifying Clinical Clues in Children With Global Developmental Delay / Intellectual Disability With Abnormal Brain Magnetic Resonance Imaging (MRI). J Child Neurol. 2021 May;36(6):432-439. doi: 10.1177/0883073820977330. Epub 2020 Dec 9.
- Results publication: PubMed 33666110Soni N, Ora M, Bathla G, Nagaraj C, Boles Ponto LL, Graham MM, Saini J, Menda Y. Multiparametric magnetic resonance imaging and positron emission tomography findings in neurodegenerative diseases: Current status and future directions. Neuroradiol J. 2021 Aug;34(4):263-288. doi: 10.1177/1971400921998968. Epub 2021 Mar 5.
- Results publication: PubMed 36832335Wenger KJ, Koldijk CE, Hattingen E, Porto L, Kurre W. Characterization of MRI White Matter Signal Abnormalities in the Pediatric Population. Children (Basel). 2023 Jan 24;10(2):206. doi: 10.3390/children10020206.
- Results publication: PubMed 33459289Al Orf A, Waheed KB, Ali EM, Muhammad AK, Al Zahrani FM, Seth SA, Al Jubair NN, Harisi HS, Arulanantham ZJ. Inherited paediatric neurometabolic disorders, can brain magnetic resonance imaging predict? Neurosciences (Riyadh). 2020 Oct;25(5):392-398. doi: 10.17712/nsj.2020.5.20200072.
- Results publication: PubMed 31989877Aksoy DO, Alkan A. Neurometabolic Diseases in Children: Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy Features. Curr Med Imaging Rev. 2019;15(3):255-268. doi: 10.2174/1573405613666171123152451.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Yasmin Asem Abu Elwafa Elsayed, Assistant lecturer contact
Hisham Amein Yousef, Assistant professor contact
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Pediatric Neurological Disorder, run by Sohag University at 1 site in Egypt.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 19 Nov 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Egypt. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Yasmin Asem Abu Elwafa Elsayed, Assistant lecturer (+02 01007680891, yasminelsheikh@med.sohag.edu.eg), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
assessing the MRI patterns of recognition of pediatric neurodegenerative diseases (time frame: baseline). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06682624, which also lists 10 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 19 Nov 2024.