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1.
Liver Transpl ; 29(2): 172-183, 2023 Feb 01.
Artigo em Inglês | MEDLINE | ID: mdl-36168270

RESUMO

Precise graft weight (GW) estimation is essential for planning living donor liver transplantation to select grafts of adequate size for the recipient. This study aimed to investigate whether a machine-learning model can improve the accuracy of GW estimation. Data from 872 consecutive living donors of a left lateral sector, left lobe, or right lobe to adults or children for living-related liver transplantation were collected from January 2011 to December 2019. Supervised machine-learning models were trained (80% of observations) to predict GW using the following information: donor's age, sex, height, weight, and body mass index; graft type (left, right, or left lateral lobe); computed tomography estimated graft volume and total liver volume. Model performance was measured in a random independent set (20% of observations) and in an external validation cohort using the mean absolute error (MAE) and the mean absolute percentage error and compared with methods currently available for GW estimation. The best-performing machine-learning model showed an MAE value of 50 ± 62 g in predicting GW, with a mean error of 10.3%. These errors were significantly lower than those observed with alternative methods. In addition, 62% of predictions had errors <10%, whereas errors >15% were observed in only 18.4% of the cases compared with the 34.6% of the predictions obtained with the best alternative method ( p < 0.001). The machine-learning model is made available as a web application ( http://graftweight.shinyapps.io/prediction ). Machine learning can improve the precision of GW estimation compared with currently available methods by reducing the frequency of significant errors. The coupling of anthropometric variables to the preoperatively estimated graft volume seems necessary to improve the accuracy of GW estimation.


Assuntos
Transplante de Fígado , Aprendizado de Máquina , Adulto , Criança , Humanos , Transplante de Fígado/métodos , Doadores Vivos , Tamanho do Órgão
2.
Ann Med Surg (Lond) ; 82: 104714, 2022 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-36268362

RESUMO

Introduction: There are still debates regarding using portal vein (PV) from liver with hepatocellular carcinoma (HCC) for vascular reconstruction. This study aimed to assess the feasibility and patency of PV venous graft from an explanted liver with HCC for the reconstruction of the hepatic veins tributaries or PV in living donor liver transplantation (LDLT) and to see if it has any risk on recurrence of HCC. Patient and methods: We conducted a retrospective study on 81 patients with HCC who underwent LDLT from April 2004 to July 2022. Results: Venous graft from native liver PV was used for vascular reconstruction in 31 patients as follows; reconstruction of V5 in 7 patients, V8 in 4 patients, V6 in 3 patients, combined V5 and V8 in 4 patients, V6 with V5/V8 in 5 patients, and as Y shape venous graft for 2 PV reconstruction in 8 patients. The implantation of the new conduit PV graft after reconstruction of the anterior sector tributaries was direct to the IVC in 8 patients, and to the common orifice of the left and middle hepatic veins in 12 patients. The 1 month, 3 months, and 1-year overall patency of the venous graft was 93.5%, 90.3%, and 84%, respectively. Nine patients had recurrent HCC. In multivariate analysis, the independent risk factors for HCC recurrence were AFP >400 ng/mL (HR = 1.47, 95% CI: 1.69-2.31, P = 0.01), moderate/poor differentiated tumor (HR = 3.06, 95% CI: 2.58-6.29, P = 0.02), and microvascular invasion (HR = 2.51, 95% CI: 1.05-1.93, P = 0.01). Using a PV venous graft had no risk factor for HCC recurrence (P = 0.9). Conclusion: The use of PV venous graft of native liver with HCC for venous reconstruction is a feasible and valuable option in LDLT with good patency rates and no risk of HCC recurrence.

3.
Liver Transpl ; : 172-183, 2022 Oct 20.
Artigo em Inglês | MEDLINE | ID: mdl-37160073

RESUMO

ABSTRACT: Precise graft weight (GW) estimation is essential for planning living donor liver transplantation to select grafts of adequate size for the recipient. This study aimed to investigate whether a machine-learning model can improve the accuracy of GW estimation. Data from 872 consecutive living donors of a left lateral sector, left lobe, or right lobe to adults or children for living-related liver transplantation were collected from January 2011 to December 2019. Supervised machine-learning models were trained (80% of observations) to predict GW using the following information: donor's age, sex, height, weight, and body mass index; graft type (left, right, or left lateral lobe); computed tomography estimated graft volume and total liver volume. Model performance was measured in a random independent set (20% of observations) and in an external validation cohort using the mean absolute error (MAE) and the mean absolute percentage error and compared with methods currently available for GW estimation. The best-performing machine-learning model showed an MAE value of 50 ± 62 g in predicting GW, with a mean error of 10.3%. These errors were significantly lower than those observed with alternative methods. In addition, 62% of predictions had errors <10%, whereas errors >15% were observed in only 18.4% of the cases compared with the 34.6% of the predictions obtained with the best alternative method ( p < 0.001). The machine-learning model is made available as a web application ( http://graftweight.shinyapps.io/prediction ). Machine learning can improve the precision of GW estimation compared with currently available methods by reducing the frequency of significant errors. The coupling of anthropometric variables to the preoperatively estimated graft volume seems necessary to improve the accuracy of GW estimation.

4.
Front Surg ; 7: 34, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32695792

RESUMO

[This corrects the article DOI: 10.3389/fsurg.2014.00025.].

5.
World J Hepatol ; 9(21): 930-944, 2017 Jul 28.
Artigo em Inglês | MEDLINE | ID: mdl-28824744

RESUMO

AIM: To analyze the incidence, risk factors, prevention, treatment and outcome of small for size syndrome (SFSS) after living donor liver transplantation (LDLT). METHODS: Through-out more than 10 years: During the period from April 2003 to the end of 2013, 174 adult-to-adults LDLT (A-ALDLT) had been performed at National Liver Institute, Menoufiya University, Shibin Elkoom, Egypt. We collected the data of those patients to do this cohort study that is a single-institution retrospective analysis of a prospectively collected database analyzing the incidence, risk factors, prevention, treatment and outcome of SFSS in a period started from the end of 2013 to the end of 2015. The median period of follow-up reached 40.50 m, range (0-144 m). RESULTS: SFSS was diagnosed in 20 (11.5%) of our recipients. While extra-small graft [small for size graft (SFSG)], portal hypertension, steatosis and left lobe graft were significant predictors of SFSS in univariate analysis (P = 0.00, 0.04, 0.03, and 0.00 respectively); graft size was the only independent predictor of SFSS on multivariate analysis (P = 0.03). On the other hand, there was lower incidence of SFSS in patients with SFSG who underwent splenectomy [4/10 (40%) SFSS vs 3/7 (42.9%) no SFSS] but without statistical significance, However, there was none significant lower incidence of the syndrome in patients with right lobe (RL) graft when drainage of the right anterior and/or posterior liver sectors by middle hepatic vein, V5, V8, and/or right inferior vein was done [4/10 (28.6%) SFSS vs 52/152 (34.2%) no SFSS]. The 6-mo, 1-, 3-, 5-, 7- and 10-year survival in patients with SFSS were 30%, 30%, 25%, 25%, 25% and 25% respectively, while, the 6-mo, 1-, 3-, 5-, 7- and 10-year survival in patients without SFSS were 70.1%, 65.6%, 61.7%, 61%, 59.7%, and 59.7% respectively, with statistical significant difference (P = 0.00). CONCLUSION: SFSG is the independent and main factor for occurrence of SFSS after A-ALDLT leading to poor outcome. However, the management of this catastrophe depends upon its prevention (i.e., selecting graft with proper size, splenectomy to decrease portal venous inflow, and improving hepatic vein outflow by reconstructing large draining veins of the graft).

6.
HPB Surg ; 2014: 575136, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25435672

RESUMO

Background. Iatrogenic biliary injuries are considered as the most serious complications during cholecystectomy. Better outcomes of such injuries have been shown in cases managed in a specialized center. Objective. To evaluate biliary injuries management in major referral hepatobiliary center. Patients & Methods. Four hundred seventy-two consecutive patients with postcholecystectomy biliary injuries were managed with multidisciplinary team (hepatobiliary surgeon, gastroenterologist, and radiologist) at major Hepatobiliary Center in Egypt over 10-year period using endoscopy in 232 patients, percutaneous techniques in 42 patients, and surgery in 198 patients. Results. Endoscopy was very successful initial treatment of 232 patients (49%) with mild/moderate biliary leakage (68%) and biliary stricture (47%) with increased success by addition of percutaneous (Rendezvous technique) in 18 patients (3.8%). However, surgery was needed in 198 patients (42%) for major duct transection, ligation, major leakage, and massive stricture. Surgery was urgent in 62 patients and elective in 136 patients. Hepaticojejunostomy was done in most of cases with transanastomotic stents. There was one mortality after surgery due to biliary sepsis and postoperative stricture in 3 cases (1.5%) treated with percutaneous dilation and stenting. Conclusion. Management of biliary injuries was much better with multidisciplinary care team with initial minimal invasive technique to major surgery in major complex injury encouraging early referral to highly specialized hepatobiliary center.

7.
Front Surg ; 1: 25, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25593949

RESUMO

OBJECTIVES: The introduction of the living donor liver transplantation (LDLT) in Egypt as in elsewhere, has raised important psychological conflicts and ethical questions. The objective of this study was to get better understanding of the potential donors' motives toward LDLT. METHODS: This study was conducted on consecutive 193 living-liver donors who underwent partial hepatectomy as donors for LDLT during the period between April 2003 and January 2013, at the National Liver Institute Menoufeyia University, Egypt. Potential donors were thoroughly evaluated preoperatively through a screening questionnaire and interviews as regard their demographic data, relationship to the potential recipient, and motives toward proceeding to surgery. They were assured that the information shared between them and the transplant center is confidential. RESULTS: The donors' mean age was 25.53 ± 6.39 years with a range of 18-45 years. Males represented 64.7% and females were 35.3%. The most common donors (32.1%, n = 62) were sons and daughters to their parents (sons: n = 43, daughters: n = 19) while parents to their offsprings represent 15% (mothers: n = 21, fathers: n = 8). Brothers and sisters represent 16.5% (brothers: n = 22, sisters: n = 10). Nephews and nieces giving their uncles or aunts were 14%. The number of wives donating to their husbands was 11 (5.7%). Interestingly, there was no single husband who donated his wife. Among the remaining donors, there were 11 cousins and 1 uncle. Unrelated donors were 20 (10.4%). Several factors seemed to contribute to motivation for donation: the seriousness of the potential recipient condition, the relationship and personal history of the donor to the potential recipient, the religious beliefs, the trust in the health care system, and family dynamics and obligations. CONCLUSION: Absolute absence of coercion on the living-liver donor's motives may not be realistic because of the serious condition of the potential recipient. It is mandatory that the donor is truly willing to donate.

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