Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Carcinoma (1)
- Carcinoma, Non-Small-Cell Lung (1)
- Carcinoma, Small Cell (1)
- Clinical Trials (1)
- Computer-Assisted (1)
-
- Conformal (1)
- Dose-Response Relationship (1)
- Dose-Response Relationship, Radiation (1)
- Female (1)
- Humans (1)
- Lung (1)
- Lung Neoplasms (1)
- Male (1)
- Non-Small-Cell Lung (1)
- Predictive Value of Tests (1)
- Prognosis (1)
- Radiation (1)
- Radiation Pneumonitis (1)
- Radiation Tolerance (1)
- Radiotherapy (1)
- Radiotherapy Dosage (1)
- Radiotherapy Planning (1)
- Radiotherapy Planning, Computer-Assisted (1)
- Radiotherapy, Conformal (1)
- Randomized Controlled Trials as Topic (1)
- Risk Assessment (1)
- Severity of Illness Index (1)
- Small Cell (1)
- Publication
- File Type
Articles 1 - 2 of 2
Full-Text Articles in Epidemiology
Prediction Of Radiation Pneumonitis By Dose-Volume Histogram Parameters In Lung Cancer--A Systematic Review, George Rodrigues, Michael Lock, David D'Souza, Edward Yu, Jake Van Dyk
Prediction Of Radiation Pneumonitis By Dose-Volume Histogram Parameters In Lung Cancer--A Systematic Review, George Rodrigues, Michael Lock, David D'Souza, Edward Yu, Jake Van Dyk
Edward Yu
BACKGROUND AND PURPOSE: To perform a systematic review of the predictive ability of various dose-volume histogram (DVH) parameters (V(dose), mean lung dose (MLD), and normal tissue complication probability (NTCP)) in the incidence of radiation pneumonitis (RP) caused by external-beam radiation therapy. METHODS AND MATERIALS: Studies assessing the relationship between CT-based DVH reduction parameters and RP rate in radically treated lung cancer were eligible for the review. Synonyms for RP, lung cancer, DVH and its associated parameters (NTCP, V(20), V(30), MLD) were combined in a search strategy involving electronic databases, secondary reference searching, and consultation with experts. Individual or group data …
Ensuring The Comparability Of Comparison Groups: Is Randomization Enough?, Vance Berger, Sherri Rose
Ensuring The Comparability Of Comparison Groups: Is Randomization Enough?, Vance Berger, Sherri Rose
Sherri Rose
It is widely believed that baseline imbalances in randomized trials must necessarily be random. In fact, there is a type of selection bias that can cause substantial, systematic and reproducible baseline imbalances of prognostic covariates even in properly randomized trials. It is possible, given complete data, to quantify both the susceptibility of a given trial to this type of selection bias and the extent to which selection bias appears to have caused either observable or unobservable baseline imbalances. Yet, in articles reporting on randomized trials, it is uncommon to find either these assessments or the information that would enable a …