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Enregistrement W2806829774

Quantitative magnetic resonance imaging in evaluating haemodynamic changes in portal hypertension

2017· dissertation· en· W2806829774 sur OpenAlexaboutno aff
Naaventhan Palaniyappan

Notice bibliographique

RevueNottingham ePrints (University of Nottingham) · 2017
Typedissertation
Langueen
DomaineMedicine
ThématiqueLiver Disease and Transplantation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePortal hypertensionPortal venous pressureCirrhosisInternal medicineMagnetic resonance imagingSplanchnicCardiologyHemodynamicsRadiology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The majority of complications in patients with cirrhosis result from the development and progression of portal hypertension characterised by increased intrahepatic resistance and progressive splanchnic vasodilation. Hepatic venous pressure gradient (HVPG) measurement is the only validated technique to accurately evaluate changes in portal pressure. However, HVPG measurements are invasive and available only in specialised hepatology units, precluding its use in routine clinical practice. In the first study, we evaluated the use of non-contrast quantitative magnetic resonance imaging (MRI) as a surrogate measure of portal pressure. 30 patients undergoing HVPG measurement were prospectively recruited. MR parameters of longitudinal relaxation time (T1), perfusion of the liver and spleen (by arterial spin labelling), and blood flow in the portal, splanchnic and collateral circulation (by phase-contrast MRI) were assessed. We estimated the liver stiffness measurement (LSM) and Enhanced Liver Fibrosis (ELF) score. The correlation of all non-invasive parameters with HVPG was evaluated. The mean (range) HVPG of the patients was 9.8 (1-22) mmHg, and 14 patients (48%) had clinically significant portal hypertension (CSPH, HVPG ≥10 mmHg). Liver T1 relaxation time, splenic artery and superior mesenteric artery velocity correlated significantly with HVPG. Using multiple linear regression, liver T1 and splenic artery velocity remained as the two parameters in the multivariate model significantly associated with HVPG (R=0.90, p<0.001). This correlation was maintained in patients with CSPH (R=0.85, p<0.001). A validation cohort (n=10) showed this linear model provided a good prediction of HVPG. LSM and ELF score correlated significantly with HVPG in the whole population but the correlation was absent in CSPH. In conclusion, MR parameters related to both hepatic architecture and splanchnic haemodynamics correlate significantly with HVPG. This proposed model, confirmed in a validation cohort, could replace the invasive HVPG measurement. In the second part, we studied the use non-invasive MRI to dynamically assess changes in hepatic and collateral blood flow, liver perfusion and oxygenation in response to ingestion of a test meal (meal challenge), and hyperoxia and hypercapnia (gas challenge). These changes were compared between healthy subjects and patients with compensated cirrhosis (CC). In the meal challenge study, we evaluated the blood flow in the portal vein, hepatic artery and azygos vein, liver perfusion and blood oxygenation (using transverse relaxation time (T2*) mapping). Measures were collected at baseline and at 6-7 minute intervals from 20 to 65 minutes following a test meal (440 ml; 660 kcal) in 10 healthy participants and 10 CC patients. In healthy participants, we observed a postprandial increase in portal vein flow from baseline coupled with a reduction in hepatic artery flow from baseline, reflecting the hepatic artery buffer response (HABR). In CC patients, changes in portal vein and hepatic artery flow were smaller, with no clear HABR. In healthy participants, postprandial liver perfusion increased, but not in CC patients. There was no change in liver T2* for either group. In the gas challenge study, we evaluated the blood flow in portal vein and hepatic artery, liver perfusion and liver T2* during hyperoxia and hypercapnia in 10 healthy subjects and 4 patients with compensated cirrhosis. A sequential gas delivery breathing circuit and a prospective, feed-forward gas delivery system (Respiract™, Thornhill Research Inc., Toronto, Canada) was used to control and monitor end-tidal O2 (PETO2) and CO2 (PETCO2) partial pressures. Hyperoxia was targeted at PETO2 ~500mmHg and hypercapnia was aimed at PETCO2 ~6mmHg above resting value. The study design consisted of 5 blocks. Blocks 1, 3 and 5 were 5 min periods at resting PETCO2 and PETO2. Blocks 2 and 4 were, in a random order, 5 mins of hyperoxia (with a 2 min transition up and down) or 5 mins of hypercapnia. We observed an increase in portal vein velocity during hypercapnia among the healthy subjects and patients with cirrhosis. There was no significant changes in liver T2* but the full-width-half-maximum (FWHM) of the distribution of the liver T2* increased in response to hyperoxia and hypercapnia in both groups. Subjects with low T2* at baseline exhibited a smaller change in FWHM following the gas challenge. The within session and inter-session coefficient of variation (CoV) the blood flow measurement using phase-contrast MRI in healthy subjects was less than 15%. If our findings are confirmed in external validation studies, non-invasive MRI can be used as a surrogate measure of HVPG. Assessment of postprandial dynamic changes in hepatic, splanchnic and collateral circulation using MRI could potentially be used to stratify patients with portal hypertension and study the effects of potential novel treatments for portal hypertension.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,442
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,035
Tête enseignante GPT0,301
Écart entre enseignants0,266 · 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'étudeObservationnel
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

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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