Aa. Boxwala et al., Comparison of computer workstation with light box for detecting setup errors from portal images, INT J RAD O, 44(3), 1999, pp. 711-716
Citations number
21
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Onconogenesis & Cancer Research
Journal title
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Purpose: Observer studies were conducted to test the hypothesis that radiat
ion oncologists using a computer workstation for portal image analysis can
detect setup errors at least as accurately as when following standard clini
cal practice of inspecting portal films on a light box.
Methods and Materials: In a controlled observer study, nine radiation oncol
ogists used a computer workstation, called Portfolio, to detect setup error
s in 40 realistic digitally reconstructed portal radiograph (DRPR) images.
Portfolio is a prototype workstation for radiation oncologists to display a
nd inspect digital portal images for setup errors. Portfolio includes tools
for image enhancement; alignment of crosshairs, field edges, and anatomic
structures on reference and acquired images; measurement of distances and a
ngles; and viewing registered images superimposed on one another. The test
DRPRs contained known in-plane translation or rotation errors in the placem
ent of the fields over target regions in the pelvis and head. Test images u
sed in the study were also printed on film for observers to view on a light
box and interpret using standard clinical practice. The mean accuracy for
error detection for each approach was measured and the results were compare
d using repeated measures analysis of variance (ANOVA) with the Geisser-Gre
enhouse test statistic.
Results: The results indicate that radiation oncologists participating in t
his study could detect and quantify in-plane rotation and translation error
s more accurately with Portfolio compared to standard clinical practice.
Conclusions: Based on the results of this limited study, it is reasonable t
o conclude that workstations similar to PortFolio can be used efficaciously
in clinical practice. (C) 1999 Elsevier Science Inc.