A study involving 953 patients identified four tumor-related factors that predict poor prognosis in intrahepatic cholangiocarcinoma (ICC): lymph node metastasis, tumor size over 5 cm, multinodular lesions, and major vascular invasion. A point system categorized patients as resectable or borderline resectable, significantly impacting overall survival rates. Patients classified as borderline resectable had a median survival […]
Category: HPB & Spleen
Targeted antibiotic program cuts infections after pancreatic surgery
A tailored antimicrobial stewardship program (AMS) in pancreatic surgery cut overall surgical site infections from 30.1% to 20.6% and organ-space infections from 26.3% to 19.3%. It also boosted prophylaxis coverage for rectal screening (87.2% to 100%) and biliary isolates (59.7% to 68.7%). The intervention improved clinical outcomes, reduced antibiotic use and length of stay, and […]
Large Language Models Successfully Extract Data for Pancreatic Cyst Surveillance
A study evaluated the efficacy of large language models (LLMs) in extracting clinical variables from radiology reports, revealing high accuracy. An analysis of 3,198 scans from 991 patients demonstrated that LLMs could extract key elements related to pancreatic cysts with categorical variable accuracy reaching up to 99%. Continuous variable accuracy varied, with cyst size (92%) […]
Wide margins and anatomical resection improve outcomes in HCC
In a systematic review of 12 studies involving 6,747 cases of hepatocellular carcinoma (HCC) with microvascular invasion, narrow resection margins (RMs) were identified as significant risk factors for postoperative recurrence and overall survival (OS). Researchers reported that narrow RMs had a pooled hazard ratio of 1.76 for recurrence and 1.99 for OS. Conversely, wide RMs […]
AI model enhances diagnostic accuracy in colorectal cancer
A novel AI model named Coffee was developed to classify histopathological growth patterns in colorectal liver metastases, achieving impressive predictive performance with AUC values up to 1.000 in prospective cohorts. Desmoplastic tumors were linked to improved overall and progression-free survival compared to non-desmoplastic tumors. Additionally, AI-assisted pathology increased diagnostic accuracy to 94.7% for junior pathologists […]
AI model excels in early detection of post-hepatectomy liver failure
A cutting-edge AI model demonstrated significant accuracy in detecting post-hepatectomy liver failure (PHLF) within the first 24 hours post-surgery. The model achieved an AUC of 0.952 in internal validation and 0.884 in external validation among 1,832 patients across six Chinese hospitals. Moreover, it outperformed existing algorithms in challenging cases, showing an AUC of 0.654 within […]
Omitting abdominal drainage after left pancreatectomy lowers complications
The PANDRA II trial revealed that patients undergoing left pancreatectomy without routine abdominal drainage had similar morbidity rates compared to those with drainage. The no-drain group demonstrated noninferiority in overall postoperative morbidity, with a comprehensive complication index of 13.90 versus 19.43 for the drain group (p < 0.001). Additionally, the no-drain approach resulted in a […]
NIRF and SCEUS enhance detection of colorectal liver metastases
A dual-center study involving 69 patients demonstrated that near-infrared fluorescence imaging (NIRF) combined with Sonazoid contrast-enhanced ultrasound (SCEUS) significantly improves the detection of colorectal liver metastases (CRLMs) during laparoscopic surgery. NIRF+SCEUS identified 285 lesions, outpacing the 234 detected by white light and intraoperative ultrasound. Notably, this approach changed the surgical strategy for 40.6% of patients […]
New machine learning models improve diagnosis of obstructive jaundice
A comprehensive study analyzing 5,726 patients with obstructive jaundice has identified key etiologies, revealing cholangiocarcinoma, pancreatic adenocarcinoma, and common bile duct stones as predominant causes. Despite traditional markers lacking accuracy, two machine learning models were successfully developed, achieving an area under the receiver operating characteristic curve (AUROC) of 0.862 for differentiating benign and malignant causes. […]
Augmented reality eliminates conversion rates in liver surgeries.
A retrospective analysis reveals augmented reality (AR) enhances tumour localisation in minimally invasive liver surgery (MILS), achieving a zero conversion rate for the AR group, compared to six conversions in the non-AR group. While AR increased operative times by 10%, it did not adversely affect resection margins or postoperative complications. The findings suggest AR’s potential […]