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The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients With Migraine

OBJECTIVES: To identify the neuroimaging predictors for the responsiveness of patients to sumatriptan and use an independent cohort for external validation. METHODS: Structuralized headache questionnaire and 3-Tesla brain magnetic resonance imaging were performed in migraine patients. Regional brain...

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Autores principales: Wu, Jr-Wei, Lai, Pi-Yi, Chen, Yung-Lin, Wang, Yen-Feng, Lirng, Jiing-Feng, Chen, Shu-Ting, Lai, Kuan-Lin, Chen, Wei-Ta, Wu, Yu-Te, Wang, Shuu-Jiun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841861/
https://www.ncbi.nlm.nih.gov/pubmed/35173673
http://dx.doi.org/10.3389/fneur.2022.798695
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author Wu, Jr-Wei
Lai, Pi-Yi
Chen, Yung-Lin
Wang, Yen-Feng
Lirng, Jiing-Feng
Chen, Shu-Ting
Lai, Kuan-Lin
Chen, Wei-Ta
Wu, Yu-Te
Wang, Shuu-Jiun
author_facet Wu, Jr-Wei
Lai, Pi-Yi
Chen, Yung-Lin
Wang, Yen-Feng
Lirng, Jiing-Feng
Chen, Shu-Ting
Lai, Kuan-Lin
Chen, Wei-Ta
Wu, Yu-Te
Wang, Shuu-Jiun
author_sort Wu, Jr-Wei
collection PubMed
description OBJECTIVES: To identify the neuroimaging predictors for the responsiveness of patients to sumatriptan and use an independent cohort for external validation. METHODS: Structuralized headache questionnaire and 3-Tesla brain magnetic resonance imaging were performed in migraine patients. Regional brain volumes were automatically calculated using FreeSurfer version 6.0, including bilateral amygdala, anterior cingulated cortex, caudate, putamen, precuneus, orbitofrontal cortex, superior frontal gyri, middle frontal gyri, hippocampus, and parahippocampus. A sumatriptan-responder was defined as headache relief within 2 h after the intake of sumatriptan in at least two out of three treated attacks. We constructed a prediction model for sumatriptan response using the regional brain volume and validated it with an independent cohort of migraine patients. RESULTS: A total of 105 migraine patients were recruited, including 73 sumatriptan responders (69.5%) and 32 (30.5%) non-responders. We divided the migraine patients into derivation (n = 73) and validation cohorts (n = 32). In the derivation cohort, left hippocampal volume was larger in sumatriptan responders (responders vs. non-responders: 3,929.5 ± 403.1 vs. 3,611.0 ± 389.9 mm(3), p = 0.002), and patients with a larger left hippocampal volume had a higher response rate to sumatriptan (>4,036.2 vs. ≤4,036.2 mm(3): 92.0 vs. 56.3%, p = 0.001). Based on the findings, we constructed a prediction model using the cutoff value of 4,036.2 mm(3), and we found that patients with a left hippocampal volume >4,032.6 mm(3) had a higher response rate to sumatriptan than those with a left hippocampal volume ≤4,032.6 mm(3) (84.6 vs. 42.1%, odds ratio [OR] = 7.6 [95% confidence interval = 1.3–44.0], p = 0.013) in the validation cohort. CONCLUSION: Our study showed that left hippocampal volume is helpful to identify sumatriptan non-responders. This proof-of-concept study shows that left hippocampal volume could be used to predict the treatment response to sumatriptan in migraine patients.
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spelling pubmed-88418612022-02-15 The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients With Migraine Wu, Jr-Wei Lai, Pi-Yi Chen, Yung-Lin Wang, Yen-Feng Lirng, Jiing-Feng Chen, Shu-Ting Lai, Kuan-Lin Chen, Wei-Ta Wu, Yu-Te Wang, Shuu-Jiun Front Neurol Neurology OBJECTIVES: To identify the neuroimaging predictors for the responsiveness of patients to sumatriptan and use an independent cohort for external validation. METHODS: Structuralized headache questionnaire and 3-Tesla brain magnetic resonance imaging were performed in migraine patients. Regional brain volumes were automatically calculated using FreeSurfer version 6.0, including bilateral amygdala, anterior cingulated cortex, caudate, putamen, precuneus, orbitofrontal cortex, superior frontal gyri, middle frontal gyri, hippocampus, and parahippocampus. A sumatriptan-responder was defined as headache relief within 2 h after the intake of sumatriptan in at least two out of three treated attacks. We constructed a prediction model for sumatriptan response using the regional brain volume and validated it with an independent cohort of migraine patients. RESULTS: A total of 105 migraine patients were recruited, including 73 sumatriptan responders (69.5%) and 32 (30.5%) non-responders. We divided the migraine patients into derivation (n = 73) and validation cohorts (n = 32). In the derivation cohort, left hippocampal volume was larger in sumatriptan responders (responders vs. non-responders: 3,929.5 ± 403.1 vs. 3,611.0 ± 389.9 mm(3), p = 0.002), and patients with a larger left hippocampal volume had a higher response rate to sumatriptan (>4,036.2 vs. ≤4,036.2 mm(3): 92.0 vs. 56.3%, p = 0.001). Based on the findings, we constructed a prediction model using the cutoff value of 4,036.2 mm(3), and we found that patients with a left hippocampal volume >4,032.6 mm(3) had a higher response rate to sumatriptan than those with a left hippocampal volume ≤4,032.6 mm(3) (84.6 vs. 42.1%, odds ratio [OR] = 7.6 [95% confidence interval = 1.3–44.0], p = 0.013) in the validation cohort. CONCLUSION: Our study showed that left hippocampal volume is helpful to identify sumatriptan non-responders. This proof-of-concept study shows that left hippocampal volume could be used to predict the treatment response to sumatriptan in migraine patients. Frontiers Media S.A. 2022-01-31 /pmc/articles/PMC8841861/ /pubmed/35173673 http://dx.doi.org/10.3389/fneur.2022.798695 Text en Copyright © 2022 Wu, Lai, Chen, Wang, Lirng, Chen, Lai, Chen, Wu and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Wu, Jr-Wei
Lai, Pi-Yi
Chen, Yung-Lin
Wang, Yen-Feng
Lirng, Jiing-Feng
Chen, Shu-Ting
Lai, Kuan-Lin
Chen, Wei-Ta
Wu, Yu-Te
Wang, Shuu-Jiun
The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients With Migraine
title The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients With Migraine
title_full The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients With Migraine
title_fullStr The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients With Migraine
title_full_unstemmed The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients With Migraine
title_short The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients With Migraine
title_sort use of neuroimaging for predicting sumatriptan treatment response in patients with migraine
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841861/
https://www.ncbi.nlm.nih.gov/pubmed/35173673
http://dx.doi.org/10.3389/fneur.2022.798695
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