A nomogram for prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma: A retrospective study.

To generate a nomogram to predict posthepatectomy liver failure (PHLF), we attempted to elucidate salient risk factors in patients with hepatocellular carcinoma (HCC).We performed a retrospective review of 665 patients with HCC who received hepatectomy in 2 academic institutions in China. Independent risk factors for PHLF were identified from putative demographic, intrinsic, biochemical, surgery-related, and volumetric data. A predictive nomogram was formulated based on relevant risk factors, and we compared this with existing models.We identified clinical signs of portal hypertension (P = .023), serum total bilirubin (P = .001), serum creatinine (P = .039), and intraoperative hemorrhage (P = .015) as being important risk factors in predicting PHLF. The nomogram had a C-index of 0.906 for the externally validated data. The nomogram displayed better predictive value than 2 of the other most cited models (C-indices of 0.641 and 0.616, respectively) in the current cohort. Additionally, we were able to patients into low- (<10%), intermediate- (10-30%), and high-risk (≥30%) groups based on the nomogram. This allows us to facilitate person-specific management.Here, we constructed a simple nomogram for prediction of PHLF in patients with HCC weighted by independent risk factors. Further prospective studies are required to confirm the predictive ability of our nomogram.

Predicting surgical site infections using a novel nomogram in patients with hepatocelluar carcinoma undergoing hepatectomy.

BACKGROUND: Surgical site infections (SSI) remain a major cause of morbidity after hepatectomy for hepatocellular carcinoma (HCC). AIM: To identify the risk factors associated with SSI, and develop a nomogram to predict SSI among patients undergoing hepatectomy. METHODS: We retrospectively reviewed the data of patients diagnosed with HCC undergoing hepatectomy at two academic institutions in China, and evaluated the occurrence of SSI. Independent risk factors for SSI were identified using univariate and multivariate analyses. Based on these independent risk factors, a nomogram was established using the data of patients in the first institution, and was validated using data from an external independent cohort from the second institution. RESULTS: The nomogram was established using data from 309 patients, whereas the validation cohort used data from 331 patients. The operation duration, serum albumin level, repeat hepatectomy, and ASA score were identified as independent risk factors. The concordance index (C-index) of the nomogram for SSI prediction in the training cohort was 0.86; this nomogram also performed well in the external validation cohort, with a C-index of 0.84. Accordingly, we stratified patients into three groups, with a distinct risk range based on the nomogram prediction, to guide clinical practice. CONCLUSION: Our novel nomogram offers good preoperative prediction for SSIs in patients undergoing hepatectomy.

The First Report of Laparoscopic Pancreaticoduodenectomy for Primary Duodenal Carcinoma in a Patient With Situs Inversus Totalis: Report of a Rare Case.

BACKGROUND: Situs inversus (SI) is a rare congenital anomaly characterized by the transposition of thoracic and abdominal viscera. Laparoscopic pancreaticoduodenectomy (LPD) is increasingly used in patients with periampullar and pancreatic carcinomas. For patients with SI, LPD can be more complicated because of reversed anatomy and possible other associated anomalies that have not been expected before surgery. CASE PRESENTATION: A female patient with SI totalis presented with inappetence, vomiting, and weight loss for 2 months. Imaging modalities and angiography revealed a mass in the periampullary region without obvious vascular abnormalities. The mass was successfully resected via LPD based on an elaborate preoperative plan. The surgical pathology report demonstrated adenocarcinoma of the duodenal papilla. The patient has been followed up for 4 months and no tumor recurrence or long-term complications were observed. CONCLUSION: LPD is technically difficult but feasible in patients with SI.

Preoperative prediction of peripancreatic vein invasion by pancreatic head cancer.

BACKGROUND: Pancreatic adenocarcinoma is often diagnosed at an advanced stage when adjacent vascular invasion is present. Accurate evaluation of presence of vascular invasion can help guide therapy. The aim of this study was to construct a nomogram for preoperative prediction of peripancreatic vein invasion in patients with pancreatic head cancer. STUDY DESIGN: Data of patients with carcinoma head of pancreas and suspected peripancreatic invasion (n = 247) who underwent pancreatic resection with venous reconstruction between January 2012 and January 2017 at four academic institutions were retrospectively analyzed. Univariate and multivariate analyses were used to identify independent risk factors for vein invasion from among demographic, biological, conditional host-related, and anatomical data. A predictive nomogram was constructed based on the identified independent risk factors. RESULTS: The nomogram was constructed using data from 181 patients while the validation cohort consisted of 66 patients. Length of tumor contact (P = 0.031), circumferential vein involvement (P = 0.048), and venous contour abnormalities (P = 0.001) were independent predictors of venous invasion. The C-index of the model in predicting venous invasion was 0.963 for the external validation cohort. Patients could be assigned into low- (< 50%), intermediate- (50-90%), and high-risk (> 90%) groups based on the nomogram to facilitate personalized management. CONCLUSIONS: Vein invasion by pancreatic head cancer is mainly associated with anatomical factors. The nomogram for prediction of vein invasion was found to be practicable.

The role of imaging in prediction of post-hepatectomy liver failure.

Post-hepatectomy liver failure (PHLF) is not only a leading cause of mortality but also a leading cause of life-threatening complications in patients undergoing liver resection. The ability to accurately detect the emergence of PHLF represents a crucially important step. Currently, PHLF can be predicted by a comprehensive evaluation of biological, clinical, and anatomical parameters. With the development of new technologies, imaging methods including elastography, diffusion-weighted magnetic resonance imaging, and gadolinium ethoxybenzyl diethylenetriaminepentaacetic acid-enhanced MRI play a more significant role in the pre-operative prediction and assessment of PHLF. In this review, we summarize the mainstream studies, with the aim of evaluating the role of imaging and improving the clinical value of existing scoring systems for predicting PHLF.