ABSTRACT
SUMMARY OBJECTIVE To study factors affecting the liver regeneration after hepatectomy METHODS With 3D reconstitution technology, liver regeneration ability of 117 patients was analysed, and relative factors were studied. RESULTS There was no statistically difference between the volume of simulated liver resection and the actual liver resection. All livers had different degrees of regeneration after surgery. Age, gender and blood indicators had no impact on liver regeneration, while surgery time, intraoperative blood loss, blood flow blocking time and different ways of liver resection had a significant impact on liver regeneration; In addition, the patients' own pathological status, including, hepatitis and liver fibrosis all had a significant impact on liver regeneration. CONCLUSION 3D reconstitution model is a good model to calculate liver volume. Age, gender, blood indicators and biochemistry indicators have no impact on liver regeneration, but surgery indicators and patients' own pathological status have influence on liver regeneration.
RESUMO OBJETIVO Estudar os fatores que afetam a regeneração hepática após hepatectomia. MÉTODOS A capacidade de regeneração hepática de 117 pacientes foi analisada com a tecnologia de reconstituição 3D e foram estudados os fatores relacionados. RESULTADOS Não houve diferença estatística significante entre o volume de ressecção hepática simulada e a ressecção atual. Todos os fígados apresentaram diferentes graus de regeneração após cirurgia. Idade, gênero e indicadores sanguíneos não tiveram impacto na regeneração hepática, enquanto que tempo de cirurgia, perda sanguínea intraoperatória, tempo de bloqueio do fluxo sanguíneo e diferentes formas de ressecção mostraram impacto significante na regeneração do órgão. Além disso, condições patológicas dos pacientes, incluindo hepatite e fibrose hepática, tiveram impacto significante na regeneração hepática. CONCLUSÃO O modelo de reconstituição 3D é um bom modelo para calcular o volume do fígado. Idade, gênero, indicadores sanguíneos e bioquímicos não tiveram impacto na regeneração hepática, mas indicadores operatórios e condição patológica dos pacientes mostraram influência na regeneração do órgão.
Subject(s)
Humans , Male , Female , Adult , Aged , Aged, 80 and over , Carcinoma, Hepatocellular/surgery , Hepatectomy/rehabilitation , Liver Neoplasms/surgery , Liver Regeneration/physiology , Organ Size , Risk Factors , Analysis of Variance , Blood Loss, Surgical , Treatment Outcome , Carcinoma, Hepatocellular/pathology , Carcinoma, Hepatocellular/rehabilitation , Imaging, Three-Dimensional , Tumor Burden , Operative Time , Hepatitis/pathology , Liver Cirrhosis/pathology , Liver Neoplasms/pathology , Liver Neoplasms/rehabilitation , Middle Aged , Models, AnatomicABSTRACT
OBJECTIVE: To study factors affecting the liver regeneration after hepatectomy. METHODS: With 3D reconstitution technology, liver regeneration ability of 117 patients was analysed, and relative factors were studied. RESULTS: There was no statistically difference between the volume of simulated liver resection and the actual liver resection. All livers had different degrees of regeneration after surgery. Age, gender and blood indicators had no impact on liver regeneration, while surgery time, intraoperative blood loss, blood flow blocking time and different ways of liver resection had a significant impact on liver regeneration; In addition, the patients' own pathological status, including, hepatitis and liver fibrosis all had a significant impact on liver regeneration. CONCLUSION: 3D reconstitution model is a good model to calculate liver volume. Age, gender, blood indicators and biochemistry indicators have no impact on liver regeneration, but surgery indicators and patients' own pathological status have influence on liver regeneration.
Subject(s)
Carcinoma, Hepatocellular/surgery , Hepatectomy/rehabilitation , Liver Neoplasms/surgery , Liver Regeneration/physiology , Adult , Aged , Aged, 80 and over , Analysis of Variance , Blood Loss, Surgical , Carcinoma, Hepatocellular/pathology , Carcinoma, Hepatocellular/rehabilitation , Female , Hepatitis/pathology , Humans , Imaging, Three-Dimensional , Liver Cirrhosis/pathology , Liver Neoplasms/pathology , Liver Neoplasms/rehabilitation , Male , Middle Aged , Models, Anatomic , Operative Time , Organ Size , Risk Factors , Treatment Outcome , Tumor BurdenABSTRACT
Mexicans are a recent admixture of Amerindians, Europeans, and Africans. We performed local ancestry analysis of Mexican samples from two genome-wide association studies obtained from dbGaP, and discovered that at the MHC region Mexicans have excessive African ancestral alleles compared to the rest of the genome, which is the hallmark of recent selection for admixed samples. The estimated selection coefficients are 0.05 and 0.07 for two datasets, which put our finding among the strongest known selections observed in humans, namely, lactase selection in northern Europeans and sickle-cell trait in Africans. Using inaccurate Amerindian training samples was a major concern for the credibility of previously reported selection signals in Latinos. Taking advantage of the flexibility of our statistical model, we devised a model fitting technique that can learn Amerindian ancestral haplotype from the admixed samples, which allows us to infer local ancestries for Mexicans using only European and African training samples. The strong selection signal at the MHC remains without Amerindian training samples. Finally, we note that medical history studies suggest such a strong selection at MHC is plausible in Mexicans.