Developing a Microbubble-based Contrast Agent for X-ray Phase Contrast Imaging to Detect Neovasculature in Breast Cancer
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».