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Enregistrement W2326324955 · doi:10.1097/01.asw.0000459107.80357.53

Providing a Roadmap to Predict Tissue Viability

2014· editorial· en· W2326324955 sur OpenAlexaboutno aff
Richard Salcido

Notice bibliographique

RevueAdvances in Skin & Wound Care · 2014
Typeeditorial
Langueen
DomaineMedicine
ThématiquePeripheral Artery Disease Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineDebridement (dental)AngiographyLymphatic systemNecrotic tissueWound healingRadiologyPathologySurgery

Résumé

récupéré en direct d'OpenAlex

The Scalpel Cannot SeeFigureI have long held the notion that while sharps debridement is a necessary and time-honored technique to clear a wound of necrotic and nonviable tissue, the method is blunt and imprecise. It invariably removes viable tissue and may even leave biofilm on the wound. If the debridement technique is macroscopic, then how do we magnify our visualization to differentiate viable tissue from ischemic, necrotic, and nonviable skin, and subcutaneous, muscle, and extracellular matrices, in chronic or nonhealing wounds? To widen our lenses in the evaluation of the pathophysiologic determinants of an acute or chronic wound healing, we strive to develop advanced measurement systems. These technologies should have the ability to measure neurohumor, arteries, veins, endocrine, and lymphatics (NAVEL is a helpful mnemonic) dynamically and in real time. Toward this goal, significant advancements have taken place in “mapping out” or visualizing these systems, again perhaps macroscopically through the use of neurography, venography, lymphography, and angiography, in real time. Angiography has been especially useful in mapping out peripheral arterial disease and cardiac and cerebral obstructions. Imaging of human blood vessels was achieved almost 120 years ago in 1896. This was coincidental to the announcement of Roentgen’s (X-ray) discovery, when Haschek and Lindenthal injected “Teichmann’s mixture,” composed mainly of calcium carbonate, into the blood vessels of an amputated hand, outlining and imaging the vessels.1,2 In the intervening nearly century and a quarter, significant advances are allowing clinicians to identify vascularization, tissue perfusion, and viability of the tissues. One of the most noteworthy advancements in visualization of “real-time” blood flow in the tissues of the eye was the concept of dyeing or tagging the blood with a fluorescein dye. The dye is in the form of acid fluorochrome; the sodium salt is used in solution to reveal corneal lesions, as a test of circulation in the retina, and even the extremities. Two medical students at Indiana University are credited for the discovery of the use of fluorescein angiography for retinal imaging in 1960.3 These historical underpinnings for the use of real-time evaluation techniques using fluorescein angiography are relevant to the modern practice of wound care because of the macrostructures and microstructures of interest. Advancing the Scalpel’s Vision Increasingly, wound care practitioners, especially in wound centers, have access to infrared and near-infrared light with various applications for wound assessment (see page 37) and laser Dopplers to measure blood flow by measuring red blood cells as they move through the arterial system using the “Doppler effect.” A newer technology combining real-time fluorescence imaging to assess perfusion of viable tissue and the delineation of necrotic tissue for more precise identification for debridement is now available.4,5 Applications of intravascular injection of indocyanine green (ICG) for evaluation of peripheral blood circulation in patients with peripheral arterial disease have been evaluated and found to be effective in delineating ischemic and nonviable tissue in skin flap viability.4,5 Advanced technology adds laser-induced fluorescence of ICG as a new method for evaluating skin perfusion, which is superior to conventional fluorescein angiography. The advantage of using fluorescein angiography with ICG is the mitigation of ionizing radiation and nephrotoxicity associated with other radiopaque dyes used in radiologic imaging. One such device is the LUNA Fluorescence Microangiography System (Novadaq Technologies, Inc, Mississauga, Ontario, Canada), a novel tool that brings this imaging technology to the clinic and the bedside.6,7 The system is dubbed the “LUNA” System because it illuminates and differentiates viable tissue from necrotic tissue in real time, allowing the wound care practitioner to visualize the area of interest displayed from a mobile platform and monitor. Recently, the Centers for Medicare & Medicaid Services established vascular angiography as a new reimbursable service under the Hospital Outpatient Prospective Payment System through Ambulatory Payment Classification 0397, Vascular Imaging. The rapid tempo of technological advancements enhancing wound evaluation is exemplified by Moore’s Law. In 1965, Gordon Moore, cofounder of Intel Corporation, Santa Clara, California, predicted that computer processor speeds and power would double every 18 months9; similarly, our power to visualize tissues of interest in the wound bed and the periphery has advanced exponentially and is now ready for use in the clinic. “We only see what we know.” — Johann Wolfgang von Goethe (1749–1832)FigureRichard “Sal” Salcido, MD, EdD

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)0,006
score de la tête « metaresearch » (Gemma)0,023
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,038

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,023
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0070,002
Études des sciences et des technologies0,0010,002
Communication savante0,0060,008
Science ouverte0,0020,003
Intégrité de la recherche0,0030,006
Charge utile insuffisante (le modèle a refusé de juger)0,0110,010

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 Opus0,004
Tête enseignante GPT0,296
Écart entre enseignants0,292 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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
Publié2014
Routes d'admission1
Résumé présentoui

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