Integrating Artificial Intelligence and Machine Learning Into Cancer Clinical Trials.

The practice of oncology requires analyzing and synthesizing abundant data. From the patient's workup to determine eligibility to the therapies received to the post-treatment surveillance, practitioners must constantly juggle, evaluate, and weigh decision-making based on their best understanding of information at hand. These complex, multifactorial decisions have a tremendous opportunity to benefit from data-driven machine learning (ML) methods to drive opportunities in artificial intelligence (AI).

The first use of hypothermic machine perfusion in Korea to recover a procured kidney graft and prevent prolonged cold ischemic time: a case report.

To overcome the shortage of donor grafts in kidney transplantation (KT), the use of marginal grafts has evolved. However, prolonged cold ischemic time (CIT) is especially critical when using marginal grafts. Recently, hypothermic machine perfusion (HMP) has been used to overcome the negative effects of prolonged CIT, and we report the first use of HMP in Korea.

Consensus Quality Measures and Dose Constraints for Lung Cancer From the Veterans Affairs Radiation Oncology Quality Surveillance Program and ASTRO Expert Panel.

Purpose: For patients with lung cancer, it is critical to provide evidence-based radiation therapy to ensure high-quality care. The US Department of Veterans Affairs (VA) National Radiation Oncology Program partnered with the American Society for Radiation Oncology (ASTRO) as part of the VA Radiation Oncology Quality Surveillance to develop lung cancer quality metrics and assess quality of care as a pilot program in 2016. This article presents recently updated consensus quality measures and dose-volume histogram (DVH) constraints.

Surgical excision of a large retroperitoneal lymphangioma: A case report.

Background: Lymphangiomas are rare benign tumors most commonly found in children under 2 years of age; adult cases are extremely rare. Retroperitoneal lymphangiomas represent less than 1% of all lymphangiomas. Because of their benign nature and possibility of spontaneous resolution, lymphangiomas are sometimes left untreated for long periods of time.

Consensus Quality Measures and Dose Constraints for Breast Cancer From the Veterans Affairs Radiation Oncology Quality Surveillance Program and American Society for Radiation Oncology Expert Panel.

Purpose: Using evidence-based radiation therapy to direct care for patients with breast cancer is critical to standardize practice, improve safety, and optimize outcomes. To address this need, the Veterans Affairs (VA) National Radiation Oncology Program (NROP) established the VA Radiation Oncology Quality Surveillance Program to develop clinical quality measures (QMs). The VA NROP contracted with the American Society for Radiation Oncology to commission 5 Blue Ribbon Panels for breast, lung, prostate, rectal, and head and neck cancers.