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Enregistrement W1529039446 · doi:10.1111/cga.12094

Brain volumetry: A quantitative approach for detecting region‐specific structural abnormalities

2014· letter· en· W1529039446 sur OpenAlexaboutno aff
Kazuhiko Sawada, Shigeyoshi Saito, Miwa Horiuchi‐Hirose, Chika Sato, Junya Aoyama, Tetsuya Kobayashi

Notice bibliographique

RevueCongenital Anomalies · 2014
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCongenital heart defects research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCerebellumNuclear medicineMagnetic resonance imagingPonsCerebrumMedicineMidbrainWhite matterNeuroimagingAnatomyRadiologyCentral nervous systemInternal medicine

Résumé

récupéré en direct d'OpenAlex

In recent years, the conspicuous development and spread of imaging techniques, i.e. magnetic resonance imaging (MRI) and computed tomography (CT), have allowed non-invasive investigation of the three-dimensional (3D) gross anatomical structures of the brain. Volumetry is a quantitative approach using imaging techniques for detecting structural differences in organs among two or more groups. In our recent study, T2-weighted MRI-based volumetry revealed a dose-dependent volume reduction of the whole cerebellum by prenatal exposure to a single whole body X-irradiation in rats (Sawada et al. 2013). Here, we attempted the CT-based volumetry of the brain of a growth-retarded mouse (grt/grt), which is known as an animal model for primary congenital hypothyroidism (Sasaki et al. 2007). Brains from male homozygous (grt/grt, n = 5) and heterogeneous (grt/+, n = 5) mice at 15 weeks of age were soaked in 150 mg/mL nonionic iodinated contrast agent (Iopamiron, Bayer Schering Pharma, Japan) in a 7.5% paraformaldehyde solution at 4°C for 14 days to achieve a better contrast of the white and gray matter structures in inverted images by ex vivo micro-CT (Saito and Murase 2012). Then, CT images were acquired using 3D micro-CT (RmCT, Rigaku, Tokyo, Japan) with a resolution of 39 × 39 × 39 μm3, a tube voltage peak of 90 kV, and a tube current of 200 μA with a scan time of 8 min. Brain regions, i.e. the cerebrum, diencephalon, midbrain, pons, medulla oblongata and cerebellum, were semi-automatically segmented on CT images using the “Morpho” tool of SliceOmatic software ver 4.3 (TomoVision, Montreal, Canada) based on image contrast as well as the user's knowledge of the anatomy. 3D-rendered images of the brain were constructed using those segmented images. Furthermore, segmented areas of each brain region were measured, and the volumes were calculated by multiplying the combined areas by the slice thickness (39 μm). The total volume of segmented regions was regarded as the whole-brain volume. Computed tomography images could distinguish gray and white matter structures by their contrast, and the brain regions were grossly identifiable (Fig. 1A). 3D-rendered images revealed no obvious difference in the 3D morphology and structural organization of the brain between grt/grt and grt/ + (Fig. 1B). The volume of whole-brain was calculated based on CT images. A significantly decreased brain volume was noted in grt/grt (P < 0.05) (Fig. 1C). Such brain hypoplasia was attributed to a region-specific lower volume of the grt/grt cerebrum by two-way ANOVA and post-hoc testing (P < 0.001) (Fig. 1D). Representative sagittal computed tomography (CT) images, volume-rendered images and volumes of brain structures. (A) Sagittal CT image of the brain of grt/grt (left) and grt/ + (right). The structural organization and histoarchitecture of the brain were sustained in grt/grt. (B) Three-dimensional volume-rendered images of grt/grt (left) and grt/ + (right). The following brain structures were reconstructed: cerebrum (yellow); diencephalon (Dien, blue); midbrain (Mb, purple); pons (red); medulla oblongata (MOb, green); and cerebellum (Cb, orange). (C) Volume of brain. #P < 0.05 (Student's t-test). (D) Volumes of brain regions. Two-way ANOVA revealed significant effects on genotypes (F5,48 = 2611.988; P < 0.001), brain regions (F1,48 = 16.315; P < 0.001), and their interaction (F5,48 = 6.494; P < 0.001). **P < 0.001 (Fisher's least significant difference [LSD] test). Dien, diencephalon; aca, anterior part of anterior commissure; Cb, cerebellum; cc, corpus callosum; cp, cerebral peduncle; CPu, caudate putamen; DCN, deep cerebellar nucleus; ec, external capsule; gcc, genu of corpus callosum; Hip, hippocampus; Hyp, hypothalamus; lo, lateral olfactory tract; LV, lateral ventricle; Mb, midbrain; MOb, medulla oblongata; Ob, olfactory bulb; ot, optic tract; pc, posterior commissure; scc, splenium of corpus callosum; Th, thalamus. While grt/grt mice have a defect in tyrosylprotein sulfotransferase 2 (Tpst2) gene, the cerebral volume reduction revealed in the present volumetric analysis may be rather involved in the hypothyroid status of grt/grt mice (Kobayashi et al. 2001), because similar cerebral hypoplasia is obtained by experimentally-induced hypothyroid rats (Madeira et al. 1990). Thus, CT- or MRI-based volumetry can be screened changes in brain structures of small laboratory animal models. This approach is especially good to apply before using destructive approaches such as histological, biochemical and molecular biological analyses.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,042
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,044
Tête enseignante GPT0,292
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2014
Routes d'admission1
Résumé présentoui

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