Porcine liver: experimental model for the intra-hepatic glissonian approach

Martins, Antonio Cavalcanti de Albuquerque; Machado, Marcel Autran; Ferraz, Álvaro Antônio Bandeira

doi:10.1590/s0102-86502008000200015

Cited by 11 publications

(5 citation statements)

References 6 publications

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“…Furthermore, the porcine model did not allow for assessment of any of the pathologies commonly encountered in clinical practice. Moreover, porcine anatomy differs from human anatomy, as in the case of the five-lobed porcine liver [21]- [23]. Continued investigations with algorithms in both animal models and in human patients will afford a more accurate measure of diagnostically acceptable images.…”

Section: Discussionmentioning

confidence: 99%

Comparison of CT Dose Reduction Algorithms in a Porcine Model

Khan¹,

Elbakri²,

Henderson³

et al. 2015

ACT

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The present study utilized a porcine model for qualitative and quantitative assessment of the diagnostic quality of non-contrast abdominal computed tomography (CT) images generated by Adaptive Statistical Iterative Reconstruction (ASIR, GE Healthcare, Waukesha, Wisconsin, USA), Model-Based Iterative Reconstruction (GE company name VEO), and conventional Filtered back projection (FBP) technique. Methods: Multiple CT whole-body scans of a freshly euthanized pig carcass were performed on a 64-slice GE CT scanner at varying noise indices (5, 10, 15, 20, 30, 37, 40, 45), and with three different algorithms (VEO, FBP, and ASIR at 30%, 50%, and 70% levels of ASIR-FBP blending). Abdominal CT images were reviewed and scored in a blinded and randomized manner by two board-certified abdominal radiologists. The task was to evaluate the clarity of the images according to a rubric involving edge sharpness, presence of artifact, anatomical clarity (assessed at four regions), and perceived diagnostic acceptability. This amounted to seven criteria, each of which was graded on a scale of 1 to 5. A weighted formula was used to calculate a composite score for each scan. Results: VEO outperforms ASIR and FBP by an average of 0.5 points per the scoring system used (p < 0.05). Above a threshold noise index of 30, diagnostic acceptability is lost by all algorithms, and there is no diagnostic advantage to increasing the dose beyond a noise index of 10. Between a noise index of 25-30, VEO retains diagnostic acceptability, as opposed to ASIR and FBP which lose acceptability above noise index of 25. Conclusion: Model-based iterative reconstruction provides superior image quality and anatomical clarity at reduced radiation dosages, supporting the routine use of this technology, particularly in pediatric abdominal CT scans.

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Section: Discussionmentioning

confidence: 99%

Comparison of CT Dose Reduction Algorithms in a Porcine Model

Khan¹,

Elbakri²,

Henderson³

et al. 2015

ACT

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“…Much of the progress of liver transplantation is due to experimental transplantation programs -which has been one of the ways to train a team specialized in the technical aspects that this procedure requires-as well as conducting research related to transplantations. 6,7,8 Several animals are used for performing this type of transplantation, the highlight being mice, dogs and pigs. However, mice have anatomical differences when compared to man; besides their small size, they need microsurgical techniques for the performance of anastomoses.…”

Section: Discussionmentioning

confidence: 99%

Proposition of technique modification of liver harvesting in orthotopic transplantation in pigs

et al. 2013

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Introduction: taking into consideration the technical complexity involved in liver transplantation, the anesthetic-surgical team training, through experimental surgery on animals, has been considered a fundamental step before clinical application. Objective: to describe the technique modification of liver harvesting in orthotopic transplantation in pigs. Methods: seven sows Sus escrofa were used. The animals were previously anesthetized and placed in trans-operative monitoring; followed by the harvest of the organ by means of a different sequence than the reported by the literature, in which the liver vessels are handled in a clockwise direction. Results: the average time of hepatic harvesting was 84.4 minutes and the time of each anatomical structure dissection was considered satisfactory. Conclusion: the technique of liver harvesting in orthotopic transplantation in pigs described is viable, effective and reproducible, enabling the training of professionals and academics.

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“…30 Due to the infeasibility of in vivo measurements at different temperatures, the optical absorption and MR relaxation times were determined on the ex vivo porcine liver, which is similar to the human liver. 31 Porcine liver was used as an equivalent for the human liver by Ritz et al 18 and Jordán, 32 as well. Unlike the method used by Ritz et al, 18 where the samples were prepared from the homogenized liver tissue, in the present study, the sample slices were cut from a liver section, keeping the original tissue structure.…”

Section: Discussionmentioning

confidence: 99%