Imaging as Part of a Quality Assurance Program: Predictors of Interobserver Variability for Pretreatment Image Registration for Lung SBRT. (5th September 2019)
- Record Type:
- Journal Article
- Title:
- Imaging as Part of a Quality Assurance Program: Predictors of Interobserver Variability for Pretreatment Image Registration for Lung SBRT. (5th September 2019)
- Main Title:
- Imaging as Part of a Quality Assurance Program: Predictors of Interobserver Variability for Pretreatment Image Registration for Lung SBRT
- Authors:
- Baran, Geoff
Burmeister, Jay
Paximadis, Peter
Bossenberg, Todd
Halford, Robert
Masi, Kathryn
Nalichowski, Adrian
Miller, Steven
Vaishampayan, Nitin
Zaki, Mark
Iannotti, Kristen
Komajda, Melanie
Mattews, Kathryn
Qasim, Essam
Sullivan, Sean
Beydoun, Hassan
Dominello, Michael - Abstract:
- Purpose: To evaluate the magnitude of interobserver variability in pretreatment image registration for lung stereotactic body radiation therapy patients in aggregate and within 3 clinical subgroups and to determine methods to identify patients expected to demonstrate larger variability. Methods and Materials: Retrospective image registration was performed for the first and last treatment fraction for 10 lung stereotactic body radiation therapy patients by 16 individual observers (5 physicians, 6 physicists, and 5 therapists). Registration translation values were compared within and between subgroups overall and between the first and the last fractions. Four metrics were evaluated as possible predictors for large interobserver variability. Results: The mean 3-dimensional displacement vector for all patients over all comparisons was 2.4 ± 1.8 mm. Three patients had mean 3-dimensional vector differences >3 mm. This cohort of patients showed a significant interfraction difference in variance ( P value = .01), increasing from first fraction to last. A significant difference in interobserver variability was observed between physicians and physicists ( P value < .01) and therapists and physicists ( P value < .01) but not between physicians and therapists ( P value = .07). Three of the 4 quantities evaluated as potential predictive metrics showed statistical correlation with increased interobserver variation, including target excursion and local target/lung contrast. Conclusion:Purpose: To evaluate the magnitude of interobserver variability in pretreatment image registration for lung stereotactic body radiation therapy patients in aggregate and within 3 clinical subgroups and to determine methods to identify patients expected to demonstrate larger variability. Methods and Materials: Retrospective image registration was performed for the first and last treatment fraction for 10 lung stereotactic body radiation therapy patients by 16 individual observers (5 physicians, 6 physicists, and 5 therapists). Registration translation values were compared within and between subgroups overall and between the first and the last fractions. Four metrics were evaluated as possible predictors for large interobserver variability. Results: The mean 3-dimensional displacement vector for all patients over all comparisons was 2.4 ± 1.8 mm. Three patients had mean 3-dimensional vector differences >3 mm. This cohort of patients showed a significant interfraction difference in variance ( P value = .01), increasing from first fraction to last. A significant difference in interobserver variability was observed between physicians and physicists ( P value < .01) and therapists and physicists ( P value < .01) but not between physicians and therapists ( P value = .07). Three of the 4 quantities evaluated as potential predictive metrics showed statistical correlation with increased interobserver variation, including target excursion and local target/lung contrast. Conclusion: Variability in pretreatment image guidance represents an important treatment consideration, particularly for stereotactic body radiation therapy, which employs small margins and a small number of treatment fractions. As a result of the data presented here, we have initiated weekly "registration rounds" to familiarize all staff physicians with the target and normal anatomy for each stereotactic body radiation therapy patient and minimize interobserver variations in image registration prior to treatment. The metrics shown here are capable of identifying patients for which large interobserver variations would be anticipated. These metrics may be used in the future to develop thresholds for additional interventions to mitigate registration variations. … (more)
- Is Part Of:
- Technology in cancer research & treatment. Volume 18(2019)
- Journal:
- Technology in cancer research & treatment
- Issue:
- Volume 18(2019)
- Issue Display:
- Volume 18, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 18
- Issue:
- 2019
- Issue Sort Value:
- 2019-0018-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-09-05
- Subjects:
- image guidance -- image registration -- SBRT -- interobserver variability -- lung radiation
Oncology -- Periodicals
Cancer -- Diagnosis -- Periodicals
Cancer -- Treatment -- Technological innovations -- Periodicals
616.994 - Journal URLs:
- http://tct.sagepub.com/ ↗
http://www.tcrt.org ↗
http://www.sagepub.com ↗ - DOI:
- 10.1177/1533033819870795 ↗
- Languages:
- English
- ISSNs:
- 1533-0346
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11099.xml