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Enregistrement W2784631164

Mechanisms of fluorescence endoscopy of the human colon

2000· dissertation· en· W2784631164 sur OpenAlexaboutno aff
Ralph S. DaCosta

Notice bibliographique

RevueTSpace · 2000
Typedissertation
Langueen
DomaineMedicine
ThématiqueColorectal Cancer Screening and Detection
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEndoscopyFluorescenceMedicineComputer scienceRadiologyPhysicsOptics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Early identification of dysplasia in Barrett's esophagus (BE) and the colon remains a critical issue for clinical diagnostic endoscopy, since early discovery directly improves patient survival. Clinical studies have successfully used tissue autofluorescence (AF) with conventional white light endoscopy (WLE) and biopsy for detecting preneoplastic colonic adenomatous polyps, differentiating benign from preneoplastic polyps and identifying BE mucosa in the esophagus. Despite this, 'in vivo' autofluorescence endoscopic detection of early dysplasia continues to be problematic due to suboptimal fluorescence contrast. The goal of this PhD thesis was to extend previous AF mechanistic studies and explore means of improving 'in vivo' fluorescence endoscopic contrast. First, the AF of isolated living colonic crypts and primary cell cultures of normal colon, hyperplastic and adenomatous polyps was studied at the cellular level 'in vitro.' For BE, fluorescence microscopy was performed on archived 'ex vivo' frozen human tissues of normal esophagus, BE without and with dysplasia, and stomach to characterize the biological origins and possible differences in mucosal AF. Both studies improved our understanding of the biological origins of colon and BE tissue AF. To address suboptimal detection of dysplasia in AF imaging of BE, aminolevulinic acid (ALA) was evaluated 'in vivo' and 'ex vivo' as a diagnostic pro-drug to enhance the fluorescence contrast of dysplasia in BE. The results of these studies were inconsistent. The limited utility of AF and ALA-induced fluorescence for detecting dysplasia 'in vivo ' prompted a new approach, using monoclonal antibody-based fluorescent contrast bioconjugate targeting of a tumor-associated mucin antigen overexpressed in human colorectal adenocarcinomas. This agent was developed and evaluated ' in vitro' and 'in vivo' in a xenograft mouse tumor model, yielding significant enhancement of tumor-to-normal contrast. A novel class of fluorescent semiconductor nanoparticles (quantum dots) were evaluated as alternative immunotargeted fluorescence contrast agents in preliminary ' in vitro' and 'in vivo' animal studies. In conclusion, this thesis has advanced our basic understanding of tissue AF in the GI tract, which may translate into improved AF endoscopic imaging technology for enhancing early detection of GI cancers, and offers the distinct possibility of providing real-time non-invasive "'molecular endoscopy'" for tumor detection ' in vivo'., Tissue autofluorescence is investigated as a possible method for detection of early cancer during endoscopy of the gastrointestinal (GI) tract. In the present work, 'in vivo' fluorescence point-spectroscopy of colonic tissues, with blue light excitation, showed significant differences in autofluorescence intensity and spectral line shape between normal, preneoplastic and neoplastic lesions. These data formed the basis for developing imaging algorithms; currently used in a prototype real-time light-induced fluorescence endoscope (LIFE), undergoing multicenter clinical trials. Clinical results of fluorescence imaging and spectroscopy are described. The mechanisms by which LIFE imaging and spectroscopy differentiate normal tissues from early and late stage colonic cancers are not well understood. In this thesis, human colonic tissues were analyzed by confocal fluorescence microscopy, microspectrofluorimetry, histological and inummohistological staining, and transmission electron microscopy. Together with studies of the attenuation of light in gastrointestinal tissues, the measurements were used to develop a quantitative model of the autofluorescence process 'in vivo'. Excitation and emission matrices (EEMs) of tissues and potential fluorophores were used to identify fluorophores contributing to this autofluorescence. The cellular and extracellular origins and changes in fluorophore distributions in normal, preneoplastic and neoplastic tissues are described. Modeling showed that LIFE-GI imaging and spectroscopy results 'in vivo' may be explained by a combination of many factors, including the effect of different illumination/detection geometries, changes in tissue architecture, changes in tissue optical properties, and altered fluorophore distributions, as normal colon progresses toward neoplasia. Furthermore, a more detailed study of mucosal tissue autofluorescence from normal colon, hyperplastic polyps, and adenomatous polyps is presented. In these tissues, significant differences in mucosal fluorophore composition were found, including the discovery of a possible endogenous autofluorescent biomarker specific to colonic dysplasia. Finally, a summary of results and conclusions are presented, and future studies are outlined.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
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 enseignants0,006
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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.

Tête enseignante Opus0,017
Tête enseignante GPT0,331
Écart entre enseignants0,314 · 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

Citations7
Publié2000
Routes d'admission1
Résumé présentoui

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