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Volumn 111, Issue 1, 2014, Pages 52-58

A clinical nomogram and recursive partitioning analysis to determine the risk of regional failure after radiosurgery alone for brain metastases

Author keywords

Brain metastases; Predictive modeling; Recursive partitioning analysis; Regional failure control; Stereotactic radiosurgery

Indexed keywords

ADENOCARCINOMA; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN DYSFUNCTION; BRAIN METASTASIS; CANCER LOCALIZATION; CANCER PALLIATIVE THERAPY; CANCER SIZE; FEMALE; HIGH RISK PATIENT; HISTOLOGY; HUMAN; INTERMEDIATE RISK PATIENT; LOW RISK PATIENT; LUNG NON SMALL CELL CANCER; MAJOR CLINICAL STUDY; MALE; NOMOGRAM; OVERALL SURVIVAL; PREDICTIVE VALUE; PRIMARY TUMOR; PRIORITY JOURNAL; RETROSPECTIVE STUDY; RISK ASSESSMENT; SQUAMOUS CELL CARCINOMA; STEREOTACTIC RADIOSURGERY; TREATMENT FAILURE; AGE; ASSESSMENT OF HUMANS; CANCER RADIOTHERAPY; CANCER SURGERY; CANCER SURVIVAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; GROSS TUMOR VOLUME; LINEAR ACCELERATOR; OUTCOME ASSESSMENT; PREDICTOR VARIABLE; RECURSIVE PARTITIONING ANALYSIS; STATISTICAL ANALYSIS; WHOLE BRAIN RADIOTHERAPY; WORLD HEALTH ORGANIZATION PERFORMANCE STATUS; ADVERSE EFFECTS; BRAIN NEOPLASMS; MIDDLE AGED; PROCEDURES; RADIOSURGERY; RISK; SECONDARY;

EID: 84902152991     PISSN: 01678140     EISSN: 18790887     Source Type: Journal    
DOI: 10.1016/j.radonc.2013.11.015     Document Type: Article
Times cited : (34)

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