Quantitative and Qualitative Comparison of Thiel and Phenol‐Based Soft‐Embalmed skin for Surgical Training
Notice bibliographique
Résumé
BACKGROUND Surgical training requires high‐fidelity models to in vivo. Embalmed cadaveric material has long been used as the standard. However, conventional formalin embalming is known to affect the quality of the tissue, compromising the tissue quality for optimal realistic surgical training. The aim of our study was to qualitatively compare Thiel and phenol‐based soft‐embalming techniques in a surgical training setup and to quantitatively compare the mechanical properties of embalmed skin to fresh tissue state. METHODS Twenty‐eight participants (4 experienced ENT and 6 residents; 8 Orthopaedic residents; 4 experienced OTL; 5 experienced Trauma and 1 resident) were involved in surgical workshops comparing Thiel and phenol‐based embalmed bodies. Participants were asked to evaluate pre‐defined aspects pertaining to their appreciation of the skin quality as the usability for skin dissection and suturing. In parallel, mechanical testing of skin flaps was conducted. Skin flaps were harvested from 6 fresh‐frozen thawed cadaveric upper limbs. Skin flaps from each specimen were divided in 3 equal in size sections; one subsection was refrozen, one was Thiel embalmed and the other one was phenol‐based embalmed. The three tissue states were compared together for each specimen, one month of embalming (n=3) or one year after embalming (n=3). Specimens were preloaded and pre‐conditioned before displacement‐controlled cycles were applied using an axial tensile testing machine (MTS, Eden Prairie, MN, USA). The tensile elasticity (Young's modulus) was calculated between loading and unloading state. Statistical analysis was performed using a two‐ way mixed ANOVA with a Holm‐Sidak correction for multiple comparisons. RESULTS Qualitatively, 18% of participants rated Thiel as more realistic and preferred this model for skin dissection and suturing; 64% preferred Phenol‐based soft‐embalmed; and 18% rated that both embalming states were comparable. Quantitatively, there were significant differences between the embalming techniques (p < 0.05), but no significant difference were made between embalming time (p = 0.47). Thiel embalmed skin had a significantly lower Young's modulus values compared to fresh state (p < 0.0001). There were no significant differences between phenol‐based embalmed skin and fresh state (p = 0.30). CONCLUSION Although there was variability in the relationship between tissue states, fresh and phenol‐based embalmed state were not consistently stiffer than the other, but both were stiffer than the Thiel embalmed samples; Thiel solution caused the samples to be less stiff than the fresh state. Based on our results, phenol‐based soft‐ embalming preserves the integrity of the skin tensile elasticity better, which could explain the better rating of this embalming technique for the practice of surgical exposures, simulated reconstructions and wound closure. Moreover, phenol‐based embalmed specimens can be prepared for a third of the cost and with none of the elaborate setup required for Thiel embalming. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 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 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».