Comparison of computer workstation with light box for detecting setup errors from portal images

Aziz A Boxwala; Edward L Chaney; Daniel S Fritsch; Suraj Raghavan; Christopher S Coffey; Stacey A Major; Keith E Muller

doi:10.1016/S0360-3016(99)00050-4

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Comparison of computer workstation with light box for detecting setup errors from portal images

Journal article

Peer reviewed

Comparison of computer workstation with light box for detecting setup errors from portal images

Aziz A Boxwala, Edward L Chaney, Daniel S Fritsch, Suraj Raghavan, Christopher S Coffey, Stacey A Major and Keith E Muller

International journal of radiation oncology, biology, physics, Vol.44(3), pp.711-716

06/01/1999

DOI: 10.1016/S0360-3016(99)00050-4

PMID: 10348303

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Abstract

Purpose: Observer studies were conducted to test the hypothesis that radiation oncologists using a computer workstation for portal image analysis can detect setup errors at least as accurately as when following standard clinical practice of inspecting portal films on a light box. Methods and Materials: In a controlled observer study, nine radiation oncologists used a computer workstation, called PortFolio, to detect setup errors in 40 realistic digitally reconstructed portal radiograph (DRPR) images. PortFolio is a prototype workstation for radiation oncologists to display and 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 angles; and viewing registered images superimposed on one another. The test DRPRs contained known in-plane translation or rotation errors in the placement of the fields over target regions in the pelvis and head. Test images used 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 compared using repeated measures analysis of variance (ANOVA) with the Geisser–Greenhouse test statistic. Results: The results indicate that radiation oncologists participating in this study could detect and quantify in-plane rotation and translation errors more accurately with PortFolio compared to standard clinical practice. Conclusions: Based on the results of this limited study, it is reasonable to conclude that workstations similar to PortFolio can be used efficaciously in clinical practice.

Electronic portal imaging

Error detection

Image analysis workstation

Portal imaging

Details

Title: Subtitle: Comparison of computer workstation with light box for detecting setup errors from portal images
Creators: Aziz A Boxwala - Department of Radiation Oncology, Division of Medical Computing and Informatics, USA, Departments of
Edward L Chaney - Department of Radiation Oncology, Division of Medical Computing and Informatics, USA, Departments of
Daniel S Fritsch - Department of Radiation Oncology, Division of Medical Computing and Informatics, USA, Departments of
Suraj Raghavan - Department ofBiomedical Engineering, USA, Department of
Christopher S Coffey - Biostatistics, University of North Carolina, Chapel Hill, NC, USA
Stacey A Major - Biostatistics, University of North Carolina, Chapel Hill, NC, USA
Keith E Muller - Biostatistics, University of North Carolina, Chapel Hill, NC, USA
Resource Type: Journal article
Publication Details: International journal of radiation oncology, biology, physics, Vol.44(3), pp.711-716
DOI: 10.1016/S0360-3016(99)00050-4
PMID: 10348303
NLM abbreviation: Int J Radiat Oncol Biol Phys
ISSN: 0360-3016
eISSN: 1879-355X
Publisher: Elsevier Inc
Language: English
Date published: 06/01/1999
Academic Unit: Biostatistics
Record Identifier: 9984214828302771

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