Oncology/Hematology

Support Vector Machines Model of Computed Tomography for Assessing Lymph Node Metastasis in Esophageal Cancer with Neoadjuvant Chemotherapy.

OBJECTIVE: The aim of this study was to diagnose lymph node metastasis of esophageal cancer by support vector machines model based on computed tomography.

Differentiation of Glioblastoma and Lymphoma Using Feature Extraction and Support Vector Machine.

Differentiation of glioblastoma multiformes (GBMs) and lymphomas using multi-sequence magnetic resonance imaging (MRI) is an important task that is valuable for treatment planning. However, this task is a challenge because GBMs and lymphomas may have a similar appearance in MRI images. This similarity may lead to misclassification and could affect the treatment results. In this paper, we propose a...

Cytopathological image analysis using deep-learning networks in microfluidic microscopy.

Cytopathologic testing is one of the most critical steps in the diagnosis of diseases, including cancer. However, the task is laborious and demands sk...

Automated Classification of Semi-Structured Pathology Reports into ICD-O Using SVM in Portuguese.

Pathology reports are a main source of information regarding cancer diagnosis and are commonly written following semi-structured templates that includ...

Breast osteoblastoma and recurrence after resection: Demonstration by color Doppler ultrasound.

Osteoblastoma is a rare benign primary bone tumor, which occurs in any part of the skeleton. Extraskeletal osteoblastoma is rather rare. We presented ...

KAI1/CD82, Metastasis Suppressor Gene as a Therapeutic Target for Non-Small-Cell Lung Carcinoma.

Lung cancer is the most frequent malignancy and the leading cause of cancer-related death worldwide; it is the second most common cancer, comprising 1...

Identifying Biomarkers of Hepatocellular Carcinoma Based on Gene Co-Expression Network from High-Throughput Data.

In this paper, we proposed an approach systematically based on the use of gene co-expression network analyses to identify potential biomarkers for Hep...

A Study on Data-Driven Novel Cancer Staging Methods.

This paper presents a data-driven method to study the relationship of survival and clinical information of patients. The machine learning models were ...

A Performance Comparison on the Machine Learning Classifiers in Predictive Pathology Staging of Prostate Cancer.

This study objectives to investigate a range of Partin table and several machine learning methods for pathological stage prediction and assess them wi...

Hematopoiesis is prognostic for toxicity and survival of Radium treatment in patients with metastatic castration-resistant prostate cancer.

OBJECTIVE: We evaluated the impact of pre-therapeutic hematopoiesis on survival, hematotoxicity (HT) and number of Radium (Ra) treatments in patients ...

[Some features controlling the blood D-dimer level after resection of malignant brain glioma].

UNLABELLED: A high blood D-dimer level is often diagnosed in patients with malignant brain glioma (MBG), with 24% of these patients being detected wit...

Hyperbaric oxygen with cord blood transplants: Filling the donor gap.

Aljitawi OS, Paul S, Ganguly A, Lin TL, Ganguly S, Vielhauer G, Capitano ML, Cantilena A, Lipe B, Mahnken JD, Wise A, Berry A, Singh AK, Shune L, Lomi...

A comparative phase III clinical study to evaluate efficacy and safety of TrastuRel™ (biosimilar trastuzumab) and innovator trastuzumab in patients with metastatic human epidermal growth factor receptor 2 (HER2)-overexpressing breast cancer.

INTRODUCTION: The present study for biosimilar trastuzumab was a multicentric, randomized, two-arm parallel-group, comparative phase III study in pati...

[Effect of jianpi-jiedu formula on tumor angiogenesis-relevant genes expression in colorectal cancer].

To investigate the effect of the jianpi-jiedu formula (JPJD) on the expression of angiogenesis-relevant genes in colon cancer.
 Methods: Crude extract...

Abdominosacral resection for locally recurring rectal cancer.

AIM: To investigate feasibility and outcome of abdominal-sacral resection for treatment of locally recurrent rectal adenocarcinoma.

Renal Function in Type 2 Diabetes Following Gastric Bypass.

BACKGROUND: Metabolic surgery for obese patients with type 2 diabetes (T2D) yields short- and long-term remission rates of 60-90%. Its effects on diab...

Computer aided prognosis for cell death categorization and prediction in vivo using quantitative ultrasound and machine learning techniques.

PURPOSE: At present, a one-size-fits-all approach is typically used for cancer therapy in patients. This is mainly because there is no current imaging...

Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network-A Pilot Study.

Assessing the response of bladder cancer to neoadjuvant chemotherapy is crucial for reducing morbidity and increasing quality of life of patients. Cha...

Living donor liver transplantation for hepatocellular carcinoma in Seoul National University.

BACKGROUND: Liver transplantation is an effective treatment modality for hepatocellular carcinoma (HCC). Due to deceased organ shortage, living donor ...

Transoral endoscopic thyroidectomy via vestibular approach: operative steps and video.

In this video we describe transoral endoscopic thyroidectomy vestibular approach (TOETVA). Inclusion criteria are (I) patients who had a ultrasonograp...