BACKGROUND Ureteral-iliac artery fistula is a rare disease resulting from the pathological connection between the ureter and iliac artery,with artificial iliac artery-ureteral fistula being rarer.Iliac artery ureteral...BACKGROUND Ureteral-iliac artery fistula is a rare disease resulting from the pathological connection between the ureter and iliac artery,with artificial iliac artery-ureteral fistula being rarer.Iliac artery ureteral fistula is challenging to diagnose,and the misdiagnosis and mortality rates are high.CASE SUMMARY A case of artificial iliac artery ureteral fistula was reported in this paper.The patient was a 69-year-old male with paroxysmal painless hematuria.The artificial iliac artery ureteral fistula was diagnosed by angiography.The hematuria was stopped after intravascular embolization,and no bleeding occurred after 6 months of follow-up.CONCLUSION Ureteral arterial fistula should be considered when inconspicuous hematuria with previous iliac vessels is encountered in addition to local ureteral surgery history.A rapid endovascular approach is recommended for fistula identification.展开更多
Postoperative pancreatic fistula(POPF)is a frequent complication after pancre-atectomy,leading to increased morbidity and mortality.Optimizing prediction models for POPF has emerged as a critical focus in surgical res...Postoperative pancreatic fistula(POPF)is a frequent complication after pancre-atectomy,leading to increased morbidity and mortality.Optimizing prediction models for POPF has emerged as a critical focus in surgical research.Although over sixty models following pancreaticoduodenectomy,predominantly reliant on a variety of clinical,surgical,and radiological parameters,have been documented,their predictive accuracy remains suboptimal in external validation and across diverse populations.As models after distal pancreatectomy continue to be pro-gressively reported,their external validation is eagerly anticipated.Conversely,POPF prediction after central pancreatectomy is in its nascent stage,warranting urgent need for further development and validation.The potential of machine learning and big data analytics offers promising prospects for enhancing the accuracy of prediction models by incorporating an extensive array of variables and optimizing algorithm performance.Moreover,there is potential for the development of personalized prediction models based on patient-or pancreas-specific factors and postoperative serum or drain fluid biomarkers to improve accuracy in identifying individuals at risk of POPF.In the future,prospective multicenter studies and the integration of novel imaging technologies,such as artificial intelligence-based radiomics,may further refine predictive models.Addressing these issues is anticipated to revolutionize risk stratification,clinical decision-making,and postoperative management in patients undergoing pancre-atectomy.展开更多
文摘BACKGROUND Ureteral-iliac artery fistula is a rare disease resulting from the pathological connection between the ureter and iliac artery,with artificial iliac artery-ureteral fistula being rarer.Iliac artery ureteral fistula is challenging to diagnose,and the misdiagnosis and mortality rates are high.CASE SUMMARY A case of artificial iliac artery ureteral fistula was reported in this paper.The patient was a 69-year-old male with paroxysmal painless hematuria.The artificial iliac artery ureteral fistula was diagnosed by angiography.The hematuria was stopped after intravascular embolization,and no bleeding occurred after 6 months of follow-up.CONCLUSION Ureteral arterial fistula should be considered when inconspicuous hematuria with previous iliac vessels is encountered in addition to local ureteral surgery history.A rapid endovascular approach is recommended for fistula identification.
文摘Postoperative pancreatic fistula(POPF)is a frequent complication after pancre-atectomy,leading to increased morbidity and mortality.Optimizing prediction models for POPF has emerged as a critical focus in surgical research.Although over sixty models following pancreaticoduodenectomy,predominantly reliant on a variety of clinical,surgical,and radiological parameters,have been documented,their predictive accuracy remains suboptimal in external validation and across diverse populations.As models after distal pancreatectomy continue to be pro-gressively reported,their external validation is eagerly anticipated.Conversely,POPF prediction after central pancreatectomy is in its nascent stage,warranting urgent need for further development and validation.The potential of machine learning and big data analytics offers promising prospects for enhancing the accuracy of prediction models by incorporating an extensive array of variables and optimizing algorithm performance.Moreover,there is potential for the development of personalized prediction models based on patient-or pancreas-specific factors and postoperative serum or drain fluid biomarkers to improve accuracy in identifying individuals at risk of POPF.In the future,prospective multicenter studies and the integration of novel imaging technologies,such as artificial intelligence-based radiomics,may further refine predictive models.Addressing these issues is anticipated to revolutionize risk stratification,clinical decision-making,and postoperative management in patients undergoing pancre-atectomy.
