Skip to main content
Log in

Contouring aid tools in radiotherapy. Smoothing: the false friend

  • RESEARCH ARTICLE
  • Published:
Clinical and Translational Oncology Aims and scope Submit manuscript

Abstract

Objective

Contouring accuracy is critical in modern radiotherapy. Several tools are available to assist clinicians in this task. This study aims to evaluate the performance of the smoothing tool in the ARIA system to obtain more consistent volumes.

Methods

Eleven different geometric shapes were delineated in ARIA v15.6 (Sphere, Cube, Square Prism, Six-Pointed Star Prism, Arrow Prism, And Cylinder and the respective volumes at 45° of axis deviation (_45)) in 1, 3, 5, 7, and 10 cm side or diameter each. Post-processing drawing tools to smooth those first-generated volumes were applied in different options (2D-ALL vs 3D) and grades (1, 3, 5, 10, 15, and 20). These volumetric transformations were analyzed by comparing different parameters: volume changes, center of mass, and DICE similarity coefficient index. Then we studied how smoothing affected two different volumes in a head and neck cancer patient: a single rounded node and the volume delineating cervical nodal areas.

Results

No changes in data were found between 2D-ALL or 3D smoothing. Minimum deviations were found (range from 0 to 0.45 cm) in the center of mass. Volumes and the DICE index decreased as the degree of smoothing increased. Some discrepancies were found, especially in figures with cleft and spikes that behave differently. In the clinical case, smoothing should be applied only once throughout the target delineation process, preferably in the largest volume (PTV) to minimize errors.

Conclusion

Smoothing is a good tool to reduce artifacts due to the manual delineation of radiotherapy volumes. The resulting volumes must be always carefully reviewed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data availability

Not applicable.

References

  1. Vrtovec T, Mocnik D, Strojan P, Pernus F, Ibragimov B. Auto-segmentation of organs at risk for head and neck radiotherapy planning: from atlas-based to deep learning methods. Med Phys. 2020;47(9):e929–50.

    Article  PubMed  Google Scholar 

  2. Van Dijk LV, Van den Bosch L, Aljabar P, Peressutti D, Both S, Steenbakkers RJHM. Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring. Radiother Oncol. 2020;142:115–23.

    Article  PubMed  Google Scholar 

  3. Baroudi H, Brock KK, Cao W, Chen X, Chung C, Court LE, et al. Automated contouring and planning in radiation therapy: what is ‘clinically acceptable’? Diagnostics. 2023;13:667.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Apolle R, Appold S, Bijl HP, Blanchard P, Bussink J, Faivre-Finn C, et al. Inter-observer variability in target delineation increases during adaptive treatment of head-and-neck and lung cancer. Acta Oncol. 2019;58(No. 10):1378–85.

  5. Van der Veen J, Gulyban A, Willems S, Maes F, Nuyts S. Interobserver variability in organ at risk delineation in head and neck cancer. Radiat Oncol. 2021;16:120.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Nelms BE, Tomé WA, Robinson G, Wheeler J. Variations in the contouring of OAR: test case from a patient with oropharyngeal cancer. Int J Radiat Oncol Biol Phys. 2012;82(1):368–78.

    Article  PubMed  Google Scholar 

  7. Vinod SK, Min M, Jameson MG, Holloway LC. A review of interventions to reduce inter-observer variability in volume delineation in radiation oncology. J Med Imaging Radiat Oncol. 2016;60:393–406.

    Article  PubMed  Google Scholar 

  8. Vinod SK, Min M, Jameson MG, and Holloway LC. Uncertainties in volume delineation in radiation oncology: a systematic review and recommendations for future studies. Radiother Oncol. 2016;121(2):169–79.

  9. Van der Veen J, Willems S, Bollen H, Maes F, Nuyts S. Interobserver variability in delineation of target volumes in head and neck cancer. Radiother Oncol. 2019;137:9–15.

    Article  PubMed  Google Scholar 

  10. González PJ, Simões R, Kiers K, Janssen TM. Explaining the dosimetric impact of contouring errors in head and neck radiotherapy. Biomed Phys Eng Express. 2022;8(5):055001.

    Article  Google Scholar 

  11. Sadeghi S, Siavashpour Z, Vafaei Sadr A, Farzin M, Sharp R, Gholami S. A rapid review of influential factors and appraised solutions on organ delineation uncertainties reduction in radiotherapy. Biomed Phys Eng Express. 2021;7(5):052001.

    Article  Google Scholar 

  12. Feng M, Demiroz C, Vineberg KA, Eisbruch A, Balter JM. Normal tissue anatomy for oropharyngeal cancer: contouring variability and its impact on optimization. Int J Radiat Oncol Biol Phys. 2012;84(2):e245–9.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Njeh CF. Tumor delineation: the weakest link in the search for accuracy in radiotherapy. J Med Phys. 2008;33(4):136–40.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Kumar S, Holloway L, Boxer M, Yap ML, Chlap P, Moses D, et al. Variability of gross tumour volume delineation: MRI and CT based tumour and lymph node delineation for lung radiotherapy. Radiother Oncol. 2022;167:292–9.

    Article  PubMed  Google Scholar 

  15. De la Pinta C, García LaTorre R, Martínez-Lorca A, Fernández E, Hernanz R, Martín M, et al. Interobserver variability in gross tumor volume contouring in non-spine bone metastases. J Clin Transl Res. 2022;8(6):465–9.

    PubMed  PubMed Central  Google Scholar 

  16. Giaj-Levra N, Figlia V, Cuccia F, Mazzola R, Nicosia L, Ricchetti F, et al. Reduction of inter-observer differences in the delineation of the target in spinal metastases SBRT using an automatic contouring dedicated system. Radiat Oncol. 2021;16:197.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Lorenzen EL, Kallehauge JF, Byskov CS, Dahlrot RH, Haslund CA, Guldberg TL, et al. A national study on the inter-observer variability in the delineation of organs at risk in the brain. Acta Oncol. 2021;60(11):1548–54.

    Article  PubMed  Google Scholar 

  18. White I, Hunt A, Bird T, Settatree S, Soliman H, McQuaid D, et al. Interobserver variability in target volume delineation for CT/MRI simulation and MRI-guided adaptive radiotherapy in rectal cancer. Br J Radiol. 2021;94:20210350.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Chang X, Deng W, Wang X, Zhou Z, Yang J, Guo W, et al. Interobserver variability in target volume delineation in definitive radiotherapy for thoracic esophageal cancer: a multi-center study from China. Radiat Oncol. 2021;16:102.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Kim KS, Cheong KH, Kim K, Koo T, Koh HK, Chang JH, et al. Interobserver variability in clinical target volume delineation in anal squamous cell carcinoma. Sci Rep. 2021;11:2785.

    Article  ADS  PubMed  PubMed Central  CAS  Google Scholar 

  21. Gkika E, Tanadini-Lang S, Kirste S, Holzner PA, Neeff HP, Rischke HC, et al. Interobserver variability in target volume delineation of hepatocellular carcinoma. Strahlenther Onkol. 2017;193(10):823–30.

    Article  PubMed  CAS  Google Scholar 

  22. Onal C, Cengiz M, Guler OC, Dolek Y, Ozkok S. The role of delineation education programs for improving interobserver variability in target volume delineation in gastric cancer. Br J Radiol. 2017;90:20160826.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Piva C, Genovesi D, Filippi AR, Balducci M, Barra S, Buglione M, et al. Interobserver variability in clinical target volume delineation for primary mediastinal B-cell lymphoma. Pract Radiat Oncol. 2015;5:383–9.

    Article  PubMed  Google Scholar 

  24. Eminowicz G, McCormack M. Variability of clinical target volume delineation for definitive radiotherapy in cervix cancer. Radiother Oncol. 2015;117:542–7.

    Article  PubMed  Google Scholar 

  25. Guo B, Li J, Wang W, Xu M, Shao Q, Zhang Y, et al. Interobserver variability in the delineation of the tumour bed using seroma and surgical clips based on 4DCT scan for external-beam partial breast irradiation. Radiat Oncol. 2015;10:66.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Genovesia D, Cèfaroa GA, Trignania M, Vinciguerraa A, Augurioa A, Di Tommaso M, et al. Interobserver variability of clinical target volume delineation in soft-tissue sarcomas. Cancer/Radiothér. 2014;18:89–96.

    Article  Google Scholar 

  27. Caravatta L, Macchia G, Mattiucci GC, Sainato A, Cernusco NLV, Mantello G, et al. Inter-observer variability of clinical target volume delineation in radiotherapy treatment of pancreatic cancer: a multi-institutional contouring experience. Radiat Oncol. 2014;9:198.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Trignani M, Argenone A, Di Biase S, Musio D, Merlotti A, Ursino S, et al. Inter‑observer variability of clinical target volume delineation in definitive radiotherapy of neck lymph node metastases from unknown primary. A cooperative study of the Italian Association of Radiotherapy and Clinical Oncology (AIRO) Head and Neck Group. La Radiologia Medica. 2019;124(7):682–92.

  29. Lim JY, Leech M. Use of auto-segmentation in the delineation of target volumes and organs at risk in head and neck. Acta Oncol. 2016;55(7):799–806.

    Article  PubMed  CAS  Google Scholar 

  30. Aliotta E, Nourzadeh H, Siebers J. Quantifying the dosimetric impact of organ-at-risk delineation variability in head and neck radiation therapy in the context of patient setup uncertainty. Phys Med Biol. 2019;64:135020.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

The authors received no specific funding for their participation in this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jordi Marruecos Querol.

Ethics declarations

Conflicts of interest

The authors have no conflicts of interest to disclose.

Ethical approval (Research involving human participants and animals)

Not applicable.

Informed consent

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Marruecos Querol, J., Jurado-Bruggeman, D., Lopez-Vidal, A. et al. Contouring aid tools in radiotherapy. Smoothing: the false friend. Clin Transl Oncol (2024). https://doi.org/10.1007/s12094-024-03420-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12094-024-03420-9

Keywords

Navigation