Journal
STRAHLENTHERAPIE UND ONKOLOGIE
Volume 190, Issue 6, Pages 555-562Publisher
URBAN & VOGEL
DOI: 10.1007/s00066-014-0644-y
Keywords
18F-FDG PET; Lung cancer; Radiation therapy planning; Interobserver variability; Visual-manual delineation
Funding
- Radiation Oncology Department of the University Medical Center Freiburg
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Backgroung and purpose. The integration of positron emission tomography (PET) information for target volume delineation in radiation treatment planning is routine in many centers. In contrast to automatic contouring, research on visual-manual delineation is scarce. The present study investigates the dependency of manual delineation on experience and qualification. Patients and methods. A total of 44 international interdisciplinary observers each defined a [F-18]fluorodeoxyglucose (FDG)-PET based gross tumor volume (GTV) using the same PET/CT scan from a patient with lung cancer. The observers were experts (E; n = 3), experienced interdisciplinary pairs (EP; 9 teams of radiation oncologist (RO) + nuclear medicine physician (NP)), single field specialists (SFS; n = 13), and students (S; n = 10). Five automatic delineation methods (AM) were also included. Volume sizes and concordance indices within the groups (pCI) and relative to the experts (eCI) were calculated. Resuklts. E (pCI = 0.67) and EP (pCI = 0.53) showed a significantly higher agreement within the groups as compared to SFS (pCI = 0.43, p = 0.03, and p = 0.006). In relation to the experts, EP (eCI = 0.55) showed better concordance compared to SFS (eCI = 0.49) or S (eCI = 0.47). The intermethod variability of the AM (pCI = 0.44) was similar to that of SFS and S, showing poorer agreement with the experts (eCI = 0.35). Conclusion. The results suggest that interdisciplinary cooperation could be beneficial for consistent contouring. Joint delineation by a radiation oncologist and a nuclear medicine physician showed remarkable agreement and better concordance with the experts compared to other specialists. The relevant intermethod variability of the automatic algorithms underlines the need for further standardization and optimization in this field.
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