AIMC Topic: Treatment Outcome

Clear Filters Showing 2401 to 2410 of 3321 articles

Intermediate-term cancer control outcomes in prostate cancer patients treated with robotic-assisted laparoscopic radical prostatectomy: a multi-institutional analysis.

World journal of urology
PURPOSE: Cancer control outcomes following robot-assisted radical prostatectomy (RARP) for prostate cancer (PCa) remain inadequately addressed over intermediate-term (≥5-year) follow-up. We examined biochemical recurrence-free survival (BCRFS), clini...

Comparison of Planning Quality and Efficiency Between Conventional and Knowledge-based Algorithms in Nasopharyngeal Cancer Patients Using Intensity Modulated Radiation Therapy.

International journal of radiation oncology, biology, physics
PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used to achieve a highly conformal dose and improve treatment outcome. However, plan quality and planning time are institute and planner dependent, and no standardized tool exists to rec...

SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatment.

Molecular bioSystems
Adjuvant chemotherapy (CTX) should be individualized to provide potential survival benefit and avoid potential harm to cancer patients. Our goal was to establish a computational approach for making personalized estimates of the survival benefit from ...

Pyeloplasty in children: perioperative results and long-term outcomes of robotic-assisted laparoscopic surgery compared to open surgery.

Pediatric surgery international
BACKGROUND: A few studies have compared robotic-assisted laparoscopic pyeloplasty (RALP) with open pyeloplasty (OP) in children, but no previous study includes a long-term follow-up of renal function and hydronephrosis in combination with a thorough ...

Totally robotic rectal resection: an experience of the first 100 consecutive cases.

International journal of colorectal disease
INTRODUCTION: Robotic surgery provides an alternative option for a minimal access approach. It provides a stable platform with high definition three-dimensional views and improved access, which enhances the capabilities for precise dissection in a na...

Cross-trial prediction of treatment outcome in depression: a machine learning approach.

The lancet. Psychiatry
BACKGROUND: Antidepressant treatment efficacy is low, but might be improved by matching patients to interventions. At present, clinicians have no empirically validated mechanisms to assess whether a patient with depression will respond to a specific ...