Cargando…

Semiquantitative analysis of hypothalamic damage on MRI predicts risk for hypothalamic obesity

OBJECTIVE: Excessive weight gain frequently occurs in patients with hypothalamic tumors and lesions leading to hypothalamic obesity (HO). METHODS: Digital brain magnetic resonance imaging (MRI) and clinical outcomes were studied retrospectively in a single center, including 45 children with postoper...

Descripción completa

Detalles Bibliográficos
Autores principales: Roth, Christian L., Eslamy, Hedieh, Werny, David, Elfers, Clinton, Shaffer, Michele L., Pihoker, Catherine, Ojemann, Jeffrey, Dobyns, William B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029599/
https://www.ncbi.nlm.nih.gov/pubmed/25884561
http://dx.doi.org/10.1002/oby.21067
_version_ 1782454537646243840
author Roth, Christian L.
Eslamy, Hedieh
Werny, David
Elfers, Clinton
Shaffer, Michele L.
Pihoker, Catherine
Ojemann, Jeffrey
Dobyns, William B.
author_facet Roth, Christian L.
Eslamy, Hedieh
Werny, David
Elfers, Clinton
Shaffer, Michele L.
Pihoker, Catherine
Ojemann, Jeffrey
Dobyns, William B.
author_sort Roth, Christian L.
collection PubMed
description OBJECTIVE: Excessive weight gain frequently occurs in patients with hypothalamic tumors and lesions leading to hypothalamic obesity (HO). METHODS: Digital brain magnetic resonance imaging (MRI) and clinical outcomes were studied retrospectively in a single center, including 45 children with postoperative lesions in the sellar region (41 craniopharyngiomas, 4 with Rathke's cleft cysts), ∼5 years post‐surgery, mean age 13.9 years. Four standard sections covering hypothalamic areas critical to energy homeostasis were used to assess lesions and calculate a hypothalamic lesion score (HLS); the association with HO was examined. RESULTS: Compared to subjects who did not develop HO (n = 23), subjects with HO (n = 22) showed more frequently lesions affecting the third ventricular floor, mammillary bodies, and anterior, medial (all P < 0.05), and most importantly posterior hypothalamus (P < 0.01). The HLS correlated significantly with BMI z‐score changes 12 and 30 months post‐surgery, even after adjusting for potential confounders of gender, age at surgery, surgery date, surgery BMI z‐score, hydrocephalus, and residual hypothalamic tumor (r = 0.34, P = 0.03; r = 0.40, P = 0.02, respectively). Diabetes insipidus was found to be an endocrine marker for HO risk. CONCLUSIONS: The extent of damage following surgery in the sellar region can be assessed by MRI using a novel scoring system for early HO risk assessment.
format Online
Article
Text
id pubmed-5029599
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-50295992016-10-03 Semiquantitative analysis of hypothalamic damage on MRI predicts risk for hypothalamic obesity Roth, Christian L. Eslamy, Hedieh Werny, David Elfers, Clinton Shaffer, Michele L. Pihoker, Catherine Ojemann, Jeffrey Dobyns, William B. Obesity (Silver Spring) Original Articles OBJECTIVE: Excessive weight gain frequently occurs in patients with hypothalamic tumors and lesions leading to hypothalamic obesity (HO). METHODS: Digital brain magnetic resonance imaging (MRI) and clinical outcomes were studied retrospectively in a single center, including 45 children with postoperative lesions in the sellar region (41 craniopharyngiomas, 4 with Rathke's cleft cysts), ∼5 years post‐surgery, mean age 13.9 years. Four standard sections covering hypothalamic areas critical to energy homeostasis were used to assess lesions and calculate a hypothalamic lesion score (HLS); the association with HO was examined. RESULTS: Compared to subjects who did not develop HO (n = 23), subjects with HO (n = 22) showed more frequently lesions affecting the third ventricular floor, mammillary bodies, and anterior, medial (all P < 0.05), and most importantly posterior hypothalamus (P < 0.01). The HLS correlated significantly with BMI z‐score changes 12 and 30 months post‐surgery, even after adjusting for potential confounders of gender, age at surgery, surgery date, surgery BMI z‐score, hydrocephalus, and residual hypothalamic tumor (r = 0.34, P = 0.03; r = 0.40, P = 0.02, respectively). Diabetes insipidus was found to be an endocrine marker for HO risk. CONCLUSIONS: The extent of damage following surgery in the sellar region can be assessed by MRI using a novel scoring system for early HO risk assessment. John Wiley and Sons Inc. 2015-06 2015-04-17 /pmc/articles/PMC5029599/ /pubmed/25884561 http://dx.doi.org/10.1002/oby.21067 Text en © 2015 The Authors. Obesity published by Wiley Periodicals, Inc. on behalf of The Obesity Society. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Roth, Christian L.
Eslamy, Hedieh
Werny, David
Elfers, Clinton
Shaffer, Michele L.
Pihoker, Catherine
Ojemann, Jeffrey
Dobyns, William B.
Semiquantitative analysis of hypothalamic damage on MRI predicts risk for hypothalamic obesity
title Semiquantitative analysis of hypothalamic damage on MRI predicts risk for hypothalamic obesity
title_full Semiquantitative analysis of hypothalamic damage on MRI predicts risk for hypothalamic obesity
title_fullStr Semiquantitative analysis of hypothalamic damage on MRI predicts risk for hypothalamic obesity
title_full_unstemmed Semiquantitative analysis of hypothalamic damage on MRI predicts risk for hypothalamic obesity
title_short Semiquantitative analysis of hypothalamic damage on MRI predicts risk for hypothalamic obesity
title_sort semiquantitative analysis of hypothalamic damage on mri predicts risk for hypothalamic obesity
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029599/
https://www.ncbi.nlm.nih.gov/pubmed/25884561
http://dx.doi.org/10.1002/oby.21067
work_keys_str_mv AT rothchristianl semiquantitativeanalysisofhypothalamicdamageonmripredictsriskforhypothalamicobesity
AT eslamyhedieh semiquantitativeanalysisofhypothalamicdamageonmripredictsriskforhypothalamicobesity
AT wernydavid semiquantitativeanalysisofhypothalamicdamageonmripredictsriskforhypothalamicobesity
AT elfersclinton semiquantitativeanalysisofhypothalamicdamageonmripredictsriskforhypothalamicobesity
AT shaffermichelel semiquantitativeanalysisofhypothalamicdamageonmripredictsriskforhypothalamicobesity
AT pihokercatherine semiquantitativeanalysisofhypothalamicdamageonmripredictsriskforhypothalamicobesity
AT ojemannjeffrey semiquantitativeanalysisofhypothalamicdamageonmripredictsriskforhypothalamicobesity
AT dobynswilliamb semiquantitativeanalysisofhypothalamicdamageonmripredictsriskforhypothalamicobesity