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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.
\nMagnetic 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 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)0,000
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: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,625
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
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 tête enseignante, pas un consensus.

Devis d'étudeQualitatif
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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