Oncology/Hematology

A scoring system based on artificial neural network for predicting 10-year survival in stage II A colon cancer patients after radical surgery.

Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical and molecular data of 117 stage II A colon cancer patients from Sun Yat-sen University Cancer Center were used for training set and test set; poor pat...

Robotic-Assisted Surgery Improves the Quality of Total Mesorectal Excision for Rectal Cancer Compared to Laparoscopy: Results of a Case-Controlled Analysis.

BACKGROUND: The use of a robotic surgical system is claimed to allow precise traction and counter-traction, especially in a narrow pelvis. Whether this translates to improvement of the quality of the resected specimen is not yet clear. The aim of the study was to compare the quality of the TME and the short-term oncological outcome between robotic and laparoscopic rectal cancer resections.

Support Vector Machine Based on microRNA Expression Profiles to Predict Histological Origin of Ampullary Carcinoma: Case Report of a Patient Affected From Adenocarcinoma of the Papilla of Vater With Lynch Syndrome.

Adenocarcinomas of Vater's papilla (PVAC) may originate from either the pancreatic duct or the intestinal epithelium. Conflicting data have been repor...

Exploiting machine learning for predicting skeletal-related events in cancer patients with bone metastases.

The aim of the bone metastases (BM) treatment is to prevent the occurrence of skeletal-related events (SREs). In clinical, physicians could only predi...

Combined fuzzy logic and random walker algorithm for PET image tumor delineation.

PURPOSE: The random walk (RW) technique serves as a powerful tool for PET tumor delineation, which typically involves significant noise and/or blurrin...

A chemotherapy response classifier based on support vector machines for high-grade serous ovarian carcinoma.

Long-term outcome of high-grade serous epithelial ovarian carcinoma (HGSOC) remains poor as a result of recurrence and the emergence of drug resistanc...

Comparison of Knowledge-based Iterative Model Reconstruction and Hybrid Reconstruction Techniques for Liver CT Evaluation of Hypervascular Hepatocellular Carcinoma.

OBJECTIVE: The purpose of this work was to evaluate the image quality, lesion conspicuity, and dose reduction provided by knowledge-based iterative mo...

Influence of robotic-assisted laparoscopic hysterectomy on vaginal cuff healing and brachytherapy initiation in endometrial carcinoma patients.

PURPOSE: The purpose of this study was to examine the impact of robotic-assisted laparoscopic hysterectomy (RALH) compared with total abdominal hyster...

Overall rate, location, and predictive factors for positive surgical margins after robot-assisted laparoscopic radical prostatectomy for high-risk prostate cancer.

We report the overall rate, locations and predictive factors of positive surgical margins (PSMs) in 271 patients with high-risk prostate cancer. Betwe...

[Applications of Machine Learning for Radiation Therapy].

Radiation therapy has been highly advanced as image guided radiation therapy (IGRT) by making advantage of image engineering technologies. Recently, n...

Automatic anatomy recognition in whole-body PET/CT images.

PURPOSE: Whole-body positron emission tomography/computed tomography (PET/CT) has become a standard method of imaging patients with various disease co...

Colorectal Cancer Staging Using Three Clustering Methods Based on Preoperative Clinical Findings.

Determination of the colorectal cancer stage is possible only after surgery based on pathology results. However, sometimes this may prove impossible. ...

Evaluation of Machine Learning Algorithm Utilization for Lung Cancer Classification Based on Gene Expression Levels.

BACKGROUND: Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (near...

Robotic versus Laparoscopic Gastrectomy for Gastric Carcinoma: a Meta-Analysis of Efficacy and Safety.

PURPOSE: To systematically review efficacyand safety of robotic gastrectomy (RG) compared with conventional laparoscopic gastrectomy (LG) for gastric ...

The role of HE4 and CA125 in differentiation between malignant and non-malignant endometrial pathologies.

OBJECTIVES: The aim of the study was to assess the role of HE4 and CA125 in differentiation between malignant and non-malignant endometrial pathologie...

Community-acquired bacteremia in adult patients. analysis of 645 episodes.

Bacteremia is an important cause of morbimortality. This study describes the episodes of communityacquired bacteremia in adult patients registered at ...

Anticancer Activity a of Caspian Cobra () snake Venom in Human Cancer Cell Lines Via Induction of Apoptosis.

Cancer is the leading cause of death worldwide. Current anticancer drugs involve various toxic side effects; efforts are ongoing to develop new antica...

Mitochondrial Apoptosis Induced by Extract in Breast Cancer Cells.

() commonly known as 'Roman chamomile' is a medicinal plant used for numerous diseases in traditional medicine, although its anticancer activity is u...

Everolimus in heavily pretreated metastatic breast cancer: Is real world experience different?

BACKGROUND: Drugs targeting mammalian target of rapamycin signaling pathway have been recently approved for treatment of hormone receptor (HR) positiv...

A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant derived molecules: a case study in oral cancer.

Systems-biology inspired identification of drug targets and machine learning-based screening of small molecules which modulate their activity have the...