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Hélio Moreira Jr,José PT Moreira,Raniere R Isaac,Onofre Alves-Neto,Thiago AC Moreira,Tiago HM Vieira,Andressa MS Brasil 대한대장항문학회 2014 Annals of Coloproctolgy Vol.30 No.3
Purpose: This study evaluated the use of adding morphine to bupivacaine in spinal anesthesia for pain control in patients who underwent an open hemorrhoidectomy. Methods: Forty patients were prospectively selected for an open hemorrhoidectomy at the same institution and were randomized into two groups of 20 patients each: group 1 had a spinal with 7 mg of heavy bupivacaine associated with 80 μg of morphine (0.2 mg/mL). Group 2 had a spinal with 7 mg of heavy bupivacaine associated with distilled water, achieving the same volume of spinal infusion as that of group 1. Both groups were prescribed the same pain control medicine during the postoperative period. Pain scores were evaluated at the anesthetic recovery room and at 3, 6, 12, and 24 hours after surgery. Postoperative complications, including pruritus, nausea, headaches, and urinary retention, were also recorded. Results: There were no anthropometric statistical differences between the two groups. Pain in the anesthetic recovery room and 3 hours after surgery was similar for both groups. However, pain was better controlled in group 1 at 6 and 12 hours after surgery. Although pain was better controlled for group 1 after 24 hours of surgery, the difference between the groups didn’t achieved statistical significance. Complications were more common in group 1. Six patients (6/20) presented coetaneous pruritus and 3 with (3/20) urinary retention. Conclusion: A hemorrhoidectomy under a spinal with morphine provides better pain control between 6 and 12 hours after surgery. However, postoperative complications, including cutaneous pruritus (30%) and urinary retention (15%), should be considered as a negative side of this procedure.
Laura Viviana Calvache Arcila,Nathália de Carvalho Ramos,Tiago Moreira Bastos Campos,Kiara Serafini Dapieve,Luiz Felipe Valandro,Renata Marques de Melo,Marco Antonio Bottino 대한치과보철학회 2021 The Journal of Advanced Prosthodontics Vol.13 No.6
PURPOSE. To characterize the microstructure of three yttria partially stabilized zirconia ceramics and to compare their hardness, indentation fracture resistance (IFR), biaxial flexural strength (BFS), and fatigue flexural strength. MATERIALS AND METHODS. Disc-shaped specimens were obtained from 3Y-TZP (Vita YZ HT), 4Y-PSZ (Vita YZ ST) and 5Y-PSZ (Vita YZ XT), following the ISO 6872/2015 guidelines for BFS testing (final dimensions of 12 mm in diameter, 0.7 and 1.2 ± 0.1 mm in thicknesses). Energy-dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD) and scanning electron microscopy (SEM) analyses were performed, and mechanical properties were assessed by Vickers hardness, IFR, quasi-static BFS and fatigue tests. RESULTS. All ceramics showed similar chemical compositions, but mainly differed in the amount of yttria, which was higher as the amount of cubic phase in the diffractogram (5Y-PSZ > 4Y-PSZ > 3Y-TZP). The 4Y- and 5Y-PSZ specimens showed surface defects under SEM, while 3Y-TZP exhibited greater grain uniformity on the surface. 5Y-PSZ and 3Y-TZP presented the highest hardness values, while 3Y-TZP was higher than 4Y- and 5Y-PSZ with regard to the IFR. The 5Y-PSZ specimen (0.7 and 1.2 mm) showed the worst mechanical performance (fatigue BFS and cycles until failure), while 3Y-TZP and 4Y-PSZ presented statistically similar values, higher than 5Y-PSZ for both thicknesses (0.7 and 1.2 mm). Moreover, 3Y-TZP showed the highest (1.2 mm group) and the lowest (0.7 mm group) degradation percentage, and 5Y-PSZ had higher strength degradation than 4Y-PSZ group. CONCLUSION. Despite the microstructural differences, 4Y-PSZ and 3Y-TZP had similar fatigue behavior regardless of thickness. 5Y-PSZ had the lowest mechanical performance.
Lucas Glaucio da Silva,Waleska Rayanne Sizinia da Silva Monteiro,Tiago Medeiros de Aguiar Moreira,Maria Aparecida Esteves Rabelo,Emílio Augusto Campos Pereira de Assis,de Souza Gustavo Torres 한국현미경학회 2021 Applied microscopy Vol.51 No.1
Histopathology is a well-established standard diagnosis employed for the majority of malignancies, including breast cancer. Nevertheless, despite training and standardization, it is considered operator-dependent and errors are still a concern. Fractal dimension analysis is a computational image processing technique that allows assessing the degree of complexity in patterns. We aimed here at providing a robust and easily attainable method for introducing computer-assisted techniques to histopathology laboratories. Slides from two databases were used: A) Breast Cancer Histopathological; and B) Grand Challenge on Breast Cancer Histology. Set A contained 2480 images from 24 patients with benign alterations, and 5429 images from 58 patients with breast cancer. Set B comprised 100 images of each type: normal tissue, benign alterations, in situ carcinoma, and invasive carcinoma. All images were analyzed with the FracLac algorithm in the ImageJ computational environment to yield the box count fractal dimension (Db) results. Images on set A on 40x magnification were statistically different ( p = 0.0003), whereas images on 400x did not present differences in their means. On set B, the mean Db values presented promissing statistical differences when comparing. Normal and/or benign images to in situ and/or invasive carcinoma (all p < 0.0001). Interestingly, there was no difference when comparing normal tissue to benign alterations. These data corroborate with previous work in which fractal analysis allowed differentiating malignancies. Computer-aided diagnosis algorithms may beneficiate from using Db data; specific Db cut-off values may yield ~ 99% specificity in diagnosing breast cancer. Furthermore, the fact that it allows assessing tissue complexity, this tool may be used to understand the progression of the histological alterations in cancer.
Marius Matusevicius,Charith Cooray,Viiu-Marika Rand,Ana Paiva Nunes,Tiago Moreira,Rossana Tassi,Jose Antonio Egido,Jyrki Ollikainen,Guido Bigliardi,Staffan Holmin,Niaz Ahmed 대한뇌졸중학회 2021 Journal of stroke Vol.23 No.3
Background and Purpose The influence of stroke etiology on outcomes after endovascular thrombectomy (EVT) is not well understood. We aimed to investigate whether stroke etiology subgrouped as large artery atherosclerosis (LAA) and cardiac embolism (CE) influences outcomes in large artery occlusion (LAO) treated by EVT. Methods We included EVT treated LAO stroke patients registered in the Safe Implementation of Treatment in Stroke (SITS) thrombectomy register between January 1, 2014 and September 3, 2019. Primary outcome was successful reperfusion (modified Treatment in Cerebral Infarction 2b- 3). Secondary outcomes were symptomatic intracranial hemorrhage (SICH), 3-month functional independence (modified Ranking Scale 0–2) and death. Multivariable logistic regression models were used for comparisons. In addition, a meta-analysis of aggregate data from the current literature was conducted (PROSPERO, ID 167447). Results Of 7,543 patients, 1,903 (25.2%) had LAA, 3,214 (42.6%) CE, and 2,426 (32.2%) unknown, other, or multiple etiologies. LAA patients were younger (66 vs. 74, P<0.001) and had lower National Institutes of Health Stroke Scale score at baseline (15 vs. 16, P<0.001) than CE patients. Multivariable analyses showed that LAA patients had lower odds of successful reperfusion (odds ratio [OR], 0.70; 95% confidence interval [CI], 0.57 to 0.86) and functional independence (OR, 0.74; 95% CI, 0.63 to 0.85), higher risk of death (OR, 1.44; 95% CI, 1.21 to 1.71), but no difference in SICH (OR, 1.09; 95% CI, 0.71 to 1.66) compared to CE patients. The systematic review found 25 studies matching the criteria. The meta-analysis did not find any difference between etiologies. Conclusions From the SITS thrombectomy register, we observed a lower chance of reperfusion and worse outcomes after thrombectomy in patients with LAA compared to CE etiology, despite more favorable baseline characteristics. In contrast, the meta-analysis did not find any difference between etiologies with aggregate data.