Prognostic indexes for brain metastases: Which is the most powerful?

International Journal of Radiation Oncology Biology Physics

Volumn 83, Issue 3, 2012, Pages

  Viani, Gustavo Arruda ^a   Bernardes Da Silva, Lucas Godói ^a   Stefano, Eduardo Jose ^a  

^a Marilia Medical School   (Brazil)

Author keywords

Brain metastases; Prognostic index; Survival; Whole brain radiotherapy

Indexed keywords

AREAS UNDER THE CURVES; BRAIN METASTASIS; DATA SETS; GERMANY; INPUT VARIABLES; NEURAL DATA; OUTCOMES RESEARCH; PERFORMANCE STATUS; PROGNOSTIC FACTORS; PROGNOSTIC INDEX; PROGNOSTIC MODEL; RECEIVER OPERATING CHARACTERISTIC CURVES; RECURSIVE PARTITIONING ANALYSIS; ROTTERDAM; SATISFACTORY DEGREE; SURVIVAL; SURVIVAL PREDICTION; SURVIVAL RATE; WHOLE BRAIN RADIOTHERAPY;

BRAIN; FORECASTING; NEURAL NETWORKS; NEUROSURGERY; RADIOTHERAPY; RATING; REGRESSION ANALYSIS; STATISTICAL TESTS;

FACTOR ANALYSIS;

PREDNISONE;

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BASIC SCORE FOR BM; BRAIN METASTASIS; BRAIN RADIATION; CANCER DIAGNOSIS; CANCER PATIENT; CANCER RADIOTHERAPY; CLINICAL ASSESSMENT; CLINICAL ASSESSMENT TOOL; CLINICAL DECISION MAKING; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE SEVERITY; FEMALE; GERMANY SCORE; GRADED PROGNOSTIC ASSESSMENT; HUMAN; MAJOR CLINICAL STUDY; MALE; NEUROSURGERY; NUCLEAR MAGNETIC RESONANCE IMAGING; OUTCOME ASSESSMENT; OVERALL SURVIVAL; PARTITION COEFFICIENT; PRACTICE GUIDELINE; PRIORITY JOURNAL; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; RECURSIVE PARTITIONING ANALYSIS; RETROSPECTIVE STUDY; RISK FACTOR; ROTTERDAM SCORE; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; STEROID THERAPY; TREATMENT OUTCOME; WHOLE BRAIN RADIOTHERAPY;

ADULT; AGED; AGED, 80 AND OVER; ANALYSIS OF VARIANCE; BRAIN NEOPLASMS; CRANIAL IRRADIATION; DECISION MAKING; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PROGNOSIS; RADIOTHERAPY DOSAGE; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SURVIVAL RATE;

EID: 84861615388     PISSN: 03603016     EISSN: 1879355X     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2011.12.082     Document Type: Article

References (13)

1. J.T. Sundstrom, H. Minn, and K.K. Lertola Prognosis of patients treated for intracranial metastases with whole-brain irradiation Ann Med 30 1998 296 299
2. J.H. Chao, R. Phillips, and J.J. Nickson Roentgen-ray therapy of cerebral metastases Cancer 7 1954 682 689
3. L. Gaspar, C. Scott, and M. Rotman Recursive partitioning analysis (RPA) of prognostic factors in three Radiation Therapy Oncology Group (RTOG) brain metastases trials Int J Radiat Oncol Biol Phys 37 1997 745 751
4. F.J. Lagerwaard, P.C. Levendag, and P.J. Nowak Identification of prognostic factors in patients with brain metastases: A review of 1292 patients Int J Radiat Oncol Biol Phys 43 1999 795 803
5. E. Weltman, J.V. Salvajoli, and R.A. Brandt Radiosurgery for brain metastases: A score index for predicting prognosis Int J Radiat Oncol Biol Phys 46 2000 1155 1161
6. J. Lorenzoni, D. Devriendt, and N. Massager Radiosurgery for treatment of brain metastases: Estimation of patient eligibility using three stratification systems Int J Radiat Oncol Biol Phys 60 2004 218 224
7. D. Rades, J. Dunst, and S.E. Schild A new scoring system to predicting the survival of patients treated with whole-brain radiotherapy for brain metastases Strahlenther Onkol 184 2008 251 255
8. P.W. Sperduto, B. Berkey, and L.E. Gaspar A new prognostic index and comparison to three other indices for patients with brain metastases: An analysis of 1,960 patients in the RTOG database Int J Radiat Oncol Biol Phys 70 2008 510 514
9. K. Woods, and K.W. Bowyer Generating ROC curves for artificial neural networks IEEE Trans Med Imaging 16 1997 329 337
10. A.M. Marchevsky, S. Patel, and K.J. Wiley Artificial neural networks and logistic regression as tools for prediction of survival in patients with stages I and II non-small cell lung cancer Mod Pathol 11 1998 618 625
11. T.J. Bryce, M.W. Dewhirst, and C.E. Floyd Jr. Artificial neural network model of survival in patients treated with irradiation with and without concurrent chemotherapy for advanced carcinoma of the head and neck Int J Radiat Oncol Biol Phys 41 1998 339 345
12. J. Lundin Artificial neural networks in outcome prediction Ann Chir Gynaecol 87 1998 128 130
13. L. Bottaci, P.J. Drew, and J.E. Hartley Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions Lancet 350 1997 469 472