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Enregistrement W3164810066

Developing a Microbubble-based Contrast Agent for X-ray Phase Contrast Imaging to Detect Neovasculature in Breast Cancer

2021· dissertation· en· W3164810066 sur OpenAlexaboutno aff
Ngoc Ton

Notice bibliographique

RevueUniversity Library (University of Saskatchewan) · 2021
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueAdvanced X-ray Imaging Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContrast (vision)Breast cancerMicrobubblesPhase contrast microscopyPhase-contrast imagingMedicineBiomedical engineeringRadiologyCancerUltrasoundComputer scienceOpticsInternal medicinePhysicsArtificial intelligence
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

X-ray phase contrast imaging (XPC) generates contrast from refraction and scattering of X-rays, unlike absorption in conventional radiology. This technique greatly improves the sharpness of boundaries and reveals micro-structured tissues that are not easily detected by conventional absorption-based X-rays. XPC can be performed at high energy, so the absorbed radiation is reduced. Ultrasound microbubbles (MBs) with biocompatible composition and gas content can maximize the X-ray refraction and scattering. Multiple studies have investigated MBs and XPC, but they share a common feature: no uniform parameters in MBs, leading to the inconsistent findings on the efficacy of MBs. Our primary goal was to develop a contrast agent for XPC by assessing which MB characteristics affect contrast the most. Gas-filled MBs were constructed with two shell materials: phospholipid and polyvinyl-alcohol (PVA). Polydisperse lipid-MBs were size separated using centrifugation. Two populations of PVA-MBs were generated by different homogenizers: 2-3 μm and 3-4 μm. A subset of PVA-MBs 3-4 μm were either coated or integrated with superparamagnetic iron oxide nanoparticles (SPIONs). MBs were then immobilized in agar at three concentrations: 5×10⁷ (high), 5×10⁶ (moderate), and 5×10⁵ MBs/ml (low). MBs were imaged by synchrotron at the Canadian Light Source with In-line phase contrast imaging (PCI) and Multiple-image Radiography (MIR). The refraction contrast in PCI was measured by detecting phase object numbers and comparing the mean pixel values (MPV: 0/255) of MBs to agar in minimum intensity projections (MIN) and maximum intensity projections (MAX). Lipid-MBs 6-10 μm, lipid-MBs 4-6 μm and 4-layer SPION-coated PVA-MBs were significantly different (p < 0.05) at three concentrations. In MAX, the contrast was observed with lipid-MBs 6-10 μm and lipid MBs 4-6 μm, whereas only lipid-MBs 6-10 μm showed a significant increase in MPV at the moderate concentration. In MIN, a significant decrease in MPV was observed from lipid MBs 6-10 μm and lipid-MBs 4-6 μm at the high concentration. With MIR, the contrast intensity was measured by comparing the MPV of MBs to agar in the absorption, refraction and ultra-small-angle X-ray scattering (USAXS) images. We only observed a significant increase in MPV in lipid-MBs 6-10 μm (p = 0.02) in the USAXS at the high concentration. These data suggest that lipid-MBs greater than 4 μm are a promising contrast agent for PCI, where 5×10⁶ MB/ml is possibly the lowest detectable concentration in tissues. With MIR, lipid-MBs 6-10 μm are a potential contrast medium for USAXS, and the minimum concentration in tissues may be 5×10⁷ MB/ml. Magnetic resonance imaging (MRI) is a non-ionizing radiation imaging approach that is excellent at visualizing soft tissues. This modality often makes use of gadolinium-based contrast agents to visualize vasculature and blood flow. However, there is controversy about gadolinium’s toxicity, so we aimed to develop a vascular-restricted contrast agent for MRI based on MBs and SPIONs, a known T2 contrast agent. There are two methods to bind SPIONs to polymer-shell MBs: SPION-coated and SPION-integrated MBs. My goal was to compare these methods and determine which approach results in optimal MB detection in T2-weighted MRI. Multiple concentrations of MBs were immobilized with agar in 1.5 ml tubes and then imaged in 3 Tesla Siemens MRI scanner. The signal intensity was identified in 70 mm² circular ROI and measured MPV in 8-bit grayscale (0-255). We imaged SPION-coated MBs and SPION-integrated MBs at two different concentrations and found that all tested MBs generated T2 contrast. For both types of SPION-coated MBs, the differences among the concentrations ranging from 25 μl - 200 μl were not detectable. No change in the signal was seen from the SPION-integrated MBs compared to the agar and plain PVA-MBs except for the highest concentration. Both MBs coated with one and three layers of SPIONs generated a high T2 contrast. Based on these data, I performed a dosage study to determine the lowest detectable concentration of single layer SPION-coated MBs, which was determined to be 5 × 10⁵ MBs/ml.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,007
Tête enseignante GPT0,223
Écart entre enseignants0,216 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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
Publié2021
Routes d'admission1
Résumé présentoui

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