Value of pretreatment MRI determined parameters for predicting outcome after radio-frequency ablation of hepatocellular carcinoma

Comparing PET metabolic parameters with clinicopathological factors in predicting onset of early recurrence in recently diagnosed hepatocellular carcinoma

Introduction: Early recurrence of hepatocellular carcinoma (HCC) is a major risk factor affecting survival even after hepatectomy. Many clinical, biochemical parameters and pathological grading like fibrosis 1 index have been used for risk stratifying HCC. However not many studies have combined all of them. It is therefore important to risk stratify HCC especially with newer PE...

Balloon-occluded percutaneous radio-frequency thermal ablation (RFA) plus transcatheter arterial chemoembolization (TACE): a new combined single- step therapy for treatment of unresectable hepatocellular carcinoma

Status of serum alpha feto-protein (AFP) and midkine (MDK) levels in patients with hepatocellular carcinoma

Introduction: Hepatocellular carcinoma (HCC) is sixth common cancers worldwide and predominant in Asia and Africa. A number of evidence suggests a possible role of midkine (MDK) and α-fetoprotein (AFP) in the pathogenesis of hepatocellular carcinoma (HCC). Materials and methods: We studied MDK and AFP in patients with HCC or in healthy controls. MDK and AFP was measured by enzyme linked immuno...

Evaluation of serum AFP (α-fetoprotein) level in HBsAg carrier patients for diagnosis of hepatocellular carcinoma

Background: Hepatocellular carcinoma (HCC) is common all over the world as well as Iran. The incidence of HCC is higher in hepatitis B carriers and it is highly recommended to periodically screen these patients by serum alpha-fetoprotein (AFP) and liver ultrasound (US) every 6 months. We explore the diagnostic accuracy and the performance of (AFP) in cases of hepatitis B carriers as a scree...

An Efficient Feature Selection Method for Multiple Time Series Clinical Data Classification

Patient’s condition description consists of combination and changes of clinical measures. Conventional data processing methods and classification algorithms may reduce the prediction performance of clinical data.Inorder to improve the accuracy of clinical data outcome prediction by using feature selection method with multiple measurement support vector machine(MMSVM) classification algorithm is...