Abstract 4197: Combined contrast enhanced ultrasound and photoacoustic imaging reveals both functional flow patterns and dysfunctional vascular pooling in tumor models
Notice bibliographique
Résumé
Abstract The tumor vasculature and its hypoxic microenvironment are constantly undergoing changes. These alterations are key attributes associated with aggressive cancer phenotypes, raising the need for non-invasive methods to track these changes. Similarly, in many cases, various cancer treatments also affect tumor vasculature, and preferably – should be monitored. Dynamic contrast-enhance ultrasound (DCEUS) and photoacoustic (PA) imaging are two promising candidates. DCEUS has the ability to measure functional tissue perfusion, whereas multispectral PA imaging can be used to evaluate tissue oxygenation related parameters. This study investigates the relationship between blood perfusion, oxygen saturation levels and hemoglobin concentration in two hind-limb tumor models, and evaluates the ability of these two modalities to image vascular structures and functions. Xenograft tumors were induced in SHO mice using either LS174T human colorectal cancer cells (n = 6), or PC3 human prostate cancer cells (n = 6). Tumors were grown to a depth of 4-6 mm before imaging was performed using a laser integrated high-frequency ultrasound system (Vevo®LAZR, VisualSonics Inc.). Contrast enhanced images were collected after a 50μL bolus injection of MicroMarker ultrasound contrast agents (VisualSonics Inc.) using non-linear contrast imaging. Perfusion parameters were quantified after applying wavelet denoising to the DCEUS clips. PA images were acquired using a 21MHz linear array transducer with fiber optical bundles integrated to each side, used to deliver light from a 680-970 nm tunable laser. Oxygen saturation levels and hemoglobin concentration were estimated from the PA measurements using spectral un-mixing. Tumor vascularity and hypoxia were confirmed with immunohistochemistry staining for CD31 and CA9. Reasonable correlations were found between corresponding pixels in the DCEUS perfusion maps and oxygen saturation maps (R = 0.63 and R = 0.5 for LS174T and PC3 respectively). In contrast, the correlation between blood perfusion and hemoglobin concentration was nil for LS174T tumors (R = -0.1), and low for PC3 tumors (R = 0.34). This discrepancy was explained by the presence of blood pools in LS174T tumors, observed in tumor histology. The presence of hemoglobin inside regions of hemorrhage together with the limited capability to separate hypoxic and necrotic regions, impeded the ability of PA imaging to detect blood vessels inside tumors. Compared to PA imaging, DECUS provides better detection of functional vasculature and enables the visualization of single blood vessels around the tumor core, without including blood pools. This study demonstrates that a multi-modality imaging scheme combining DCEUS and PA imaging can provide both distinctive and complementary information on tumor microenvironment in experimental animal studies. Citation Format: Melissa Yin, Avinoam Bar-Zion, Dan Adam, Stuart Foster. Combined contrast enhanced ultrasound and photoacoustic imaging reveals both functional flow patterns and dysfunctional vascular pooling in tumor models. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4197.
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 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 | 0,001 | 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 | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».