Active clinical trials for "Neoplasm Metastasis"

Background: To assist clinicians with diagnosis and optimal treatment decision-making, we attempted to develop and validate an artificial intelligence prediction model for lung metastasis (LM) in colorectal cancer (CRC) patients. Method: The clinicopathological characteristics of 46037 CRC patients from the Surveillance, Epidemiology, and End Results (SEER) database and 2779 CRC patients from a multi-center external validation set were collected retrospectively. After feature selection by univariate and multivariate analyses, six machine learning (ML) models, including logistic regression, K-nearest neighbor, support vector machine, decision tree, random forest, and balanced random forest (BRF), were developed and validated for the LM prediction. The optimization model with best performance was compared to the clinical predictor. In addition, stratified LM patients by risk score were utilized for survival analysis.

This study is a Phase IV Expanded Access Protocol (EAP) of CPX-351 in patients with secondary acute myeloid leukemia who are suitable for treatment with intensive chemotherapy.

Not significantly increased survival in T/T

Regional lymph node metastasis is a major determinant of local recurrence and overall survival rates in patients with colorectal cancer. Because of the poor prognosis associated with the presence of lymph node metastasis, stage III colorectal cancer patients should receive adjuvant treatment with chemo and / or radiation therapy according to the site of tumor. Several authors have investigated the use of revealing solutions for lymph node clearance in colorectal cancer. Most studies comparing conventional histopathological specimen examination to any lymph node clearing technique showed that the use of revealing solutions increases the mean number of lymph nodes harvested, usually in a statistically significant manner. It is still controversial the impact of the use of revealing solutions for upstaging of lymph node status and consequently for the indication for adjuvant therapy. Therefore will be conducted a randomized clinical trial to compares the performance of GEWF and Carnoy solutions for the histopathological examination of patients with colorectal cancer. The aim of this study is to determine the lymph node revealing solution with the best performance (increase in the mean number of lymph node harvested and lymph node upstaging) in patients with colorectal cancer.

The goal of the study is to provide a detailed description of treatments for CRPC (Castrate Resistant Prostate Cancer) patients with bone metastases and the resource utilization and costs associated with that diagnosis and subsequent treatments.

Most patients with cancer of the head and neck are offered surgical resection of the primary tumor. In order to determine how the tumor will eventually behave, along with the resection of the primary tumor, lymph nodes present in the neck are also dissected. Different institutes have different protocol on handling of the specimen that is received by the pathology labs after dissection of the neck. The investigators intend to analyze the protocol that they use to evaluate the neck dissection specimen.

The goal of this survey of international HIPEC (Hyperthermic Intraperitoneal Chemotherapy) surgeons is to determine their knowledge of and attitudes towards the nutritional support needs of HIPEC patients and what their practice patterns are with this patient population.

Data from 26 patients undergoing resection of Pancreatic Metastases and extra-Pancreatic Metastases from RCC were retrospectively analysed. Clinical data were collected from a digital database and QoL was assessed through patient's interview and Karnofsky performance scale.

Single Patient Expanded Access

The purpose of this study is to determine if the use of the Prevena™ System decreases the rate of subcutaneous seroma, superficial wound dehiscence and infection.