ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2014
Influence of experience and qualification on PET-based target volume delineation. When there is no expert--ask your colleague.
Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- EANM/SNMMI practice guideline for [European journal of nuclear medicine and molecular imaging · 2021Guideline
- 4D-Listmode-PET-CT and 4D-CT for optimizing PTV margins in gastric lymphoma : Determination of intra- and interfractional gastric motion.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2016Trial
- Molecular Imaging in Photon Radiotherapy.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026Review
- Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[European journal of nuclear medicine and molecular imaging · 2022Review
- PET/MRI-guided GTV delineation during radiotherapy planning in patients with squamous cell carcinoma of the tongue.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2019Article
- The developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancer.Journal of thoracic disease · 2018Review
- Anatomic, functional and molecular imaging in lung cancer precision radiation therapy: treatment response assessment and radiation therapy personalization.Translational lung cancer research · 2017Review
- Use of Positron Emission Tomography/Computed Tomography in Radiation Treatment Planning for Lung Cancer.Molecular imaging and radionuclide therapy · 2016Article
- Functional imaging for radiotherapy treatment planning: current status and future directions-a review.The British journal of radiology · 2015Review
Corrections and comments
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Authors and funding
12 authors at 8 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeThe 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
methodsA total of 44 international interdisciplinary observers each defined a [(18)F]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.
resultsE (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).
conclusionThe 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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