Abstract
Background and purpose
Inter-observer studies represent a valid method for the evaluation of target definition uncertainties and contouring guidelines. However, data from the literature do not yet give clear guidelines for reporting contouring variability. Thus, the purpose of this work was to compare and discuss various methods to determine variability on the basis of clinical cases and a literature review.
Patients and methods
In this study, 7 prostate and 8 lung cases were contoured on CT images by 8 experienced observers. Analysis of variability included descriptive statistics, calculation of overlap measures, and statistical measures of agreement. Cross tables with ratios and correlations were established for overlap parameters.
Results
It was shown that the minimal set of parameters to be reported should include at least one of three volume overlap measures (i.e., generalized conformity index, Jaccard coefficient, or conformation number). High correlation between these parameters and scatter of the results was observed.
Conclusion
A combination of descriptive statistics, overlap measure, and statistical measure of agreement or reliability analysis is required to fully report the interrater variability in delineation.
Zusammenfassung
Hintergrund
Inter-Beobachter-Studien sind eine sehr beliebte und auch adäquate Methode, um Unsicherheiten in der Zielvolumendefinition zu erfassen, Zielvolumenkonzepte zu beschreiben und folglich Qualitätsmaßstäbe in der Strahlentherapie zu setzen. In der Literatur finden sich bis dato keine klaren Richtlinien zur Beschreibung von Konturierungsvariabilität in Inter-Beobachter-Studien. Am Beispiel von klinischen Fallbeispielen sowie einer Literaturübersicht wurden verschiedene Ansätze zur Variabilitätsbestimmung verglichen.
Material und Methode
7 Prostata- und 8 Lungenfälle wurden je von 8 erfahrenen Strahlentherapeuten konturiert. Die Variabilitätsanalyse beinhaltete eine deskriptive Statistik, eine Überlappungsberechnung sowie eine statistische Methode zur Erfassung von Übereinstimmungen. Außerdem wurden Kreuztabellen mit Verhältnis und Korrelation zwischen den Überlappungsparametern erstellt.
Ergebnisse
Es konnte gezeigt werden, dass zur adäquaten Beschreibung der Inter-Beobachter-Variabilität einer der 3 Parameter (generalisierter Konformitätsindex, Jaccard-Koeffizient oder Konformationsnummer) ausreicht. Es wurde eine stark positive Korrelation zwischen diesen Parametern und der Streuung der Ergebnisse beobachtet.
Schlussfolgerung
Die Kombination aus deskriptiver Statistik, Überlappungsparametern und statistischem Ähnlichkeitsmaß oder Reliabilitätsanalyse ist für die vollständige Beschreibung der Inter-Beobachter-Variabilität erforderlich.
References
Allozi R, Li XA, White J et al (2010) Tools for consensus analysis of experts’ contours for radiotherapy structure definitions. Radiother Oncol 97:572–578
Altorjai G, Fotina I, Lütgendorf-Caucig C et al (2011) Cone-beam ct-based delineation of stereotactic lung targets: the influence of image modality and target size on interobserver variability. Int J Radiat Oncol Biol Phys [Epub ahead of print]
Berthelet E, Liu MC, Agranovich A et al (2002) Computed tomography determination of prostate volume and maximum dimensions: a study of interobserver variability. Radiother Oncol 63:37–40
Breen SL, Publicover J, De Silva S et al (2007) Intraobserver and inter-observer variability in GTV delineation on FDG-PET-CT images of head and neck cancers. Int J Radiat Oncol Biol Phys 68:763–770
Castro Pena P, Kirova YM, Campana F et al (2009) Anatomical, clinical and radiological delineation of target volumes in breast cancer radiotherapy planning: individual variability, questions and answers. Br J Radiol 82:595–599
Dimopoulos JC, De Vos V, Berger D et al (2009) Inter-observer comparison of target delineation for MRI-assisted cervical cancer brachytherapy: application of the GYN GEC-ESTRO recommendations. Radiother Oncol 91:166–172
Eliasziw M, Young SL, Woodbury MG et al (1994) Statistical methodology for the concurrent assessment of interrater and intrarater reliability: using goniometric measurements as an example. Phys Ther 74:777–788
Fuller CD, Nijkamp J, Duppen JC et al (2011) Prospective randomized double-blind pilot study of site-specific consensus atlas implementation for rectal cancer target volume delineation in the cooperative group setting. Int J Radiat Oncol Biol Phys 79:481–489
Genovesi D, Cèfaro GA, Vinciguerra A et al (2011) Interobserver variability of clinical target volume delineation in supra-diaphragmatic Hodgkin’s disease: a multi-institutional experience. Strahlenther Onkol 187:357–366
Giezen M, Kouwenhoven E, Scholten AN et al (2011) Magnetic resonance imaging- versus computed tomography-based target volume delineation of the glandular breast tissue in breast-conserving therapy: an exploratory study. Int J Radiat Oncol Biol Phys 81:804–811
Giraud P, Elles S, Helfre S et al (2002) Conformal radiotherapy for lung cancer: different delineation of the gross tumour volume (GTV) by radiologists and radiation oncologists. Radiother Oncol 62:27–36
Goldner G, Dimopoulos J, Kirisits C, Pötter R (2009) Moderate dose escalation in three-dimensional conformal localized prostate cancer radiotherapy: single-institutional experience in 398 patients comparing 66 Gy versus 70 Gy versus 74 Gy. Strahlenther Onkol 185:438–445
Grabarz D, Panzarella T, Bezjak A et al (2011) Quantifying interobserver variation in target definition in Palliative Radiotherapy. Int J Radiat Oncol Biol Phys 80:1498–1504
Guckenberger M, Ok S, Polat B et al (2010) Toxicity after intensity-modulated, image-guided radiotherapy for prostate cancer. Strahlenther Onkol 186:535–43 (Erratum: Strahlenther Onkol 2010;186:705)
International Commission on Radiation Units and Measurements. ICRU Report 62 (1999) Prescribing, recording, and reporting photon beam therapy (Supplement to ICRU Report 50). ICRU, Bethesda, MD, USA
Hentschel B, Oehler W, Strauss D et al (2011) Definition of the CTV prostate in CT and MRI by using CT-MRI image fusion in IMRT planning for prostate cancer. Strahlenther Onkol 187:183–190
Jansen EP, Nijkamp J, Gubanski M et al (2010) Interobserver variation of clinical target volume delineation in gastric cancer. Int J Radiat Oncol Biol Phys 77:1166–1170
Kouwenhoven E, Giezen M, Struikmans H (2009) Measuring the similarity of target volume delineations independent of the number of observers. Phys Med Biol 54:2863–2873
Krengli M, Cannillo B, Turri L et al (2010) Target volume delineation for preoperative radiotherapy of rectal cancer: inter-observer variability and potential impact of FDG-PET/CT imaging. Technol Cancer Res Treat 9:393–398
Lawton CA, Michalski J, El-Naqa I et al (2009) Variation in the definition of clinical target volumes for pelvic nodal conformal radiation therapy for prostate cancer. Int J Radiat Oncol Biol Phys 74:377–382
Leunens G, Menten J, Weltens C et al (1993) Quality assessment of medical decision making in radiation oncology: variability in target volume delineation for brain tumours. Radiother Oncol 29:169–175
Li XA, Tai A, Arthur DW, Buchholz TA et al (2009) Variability of target and normal structure delineation for breast cancer radiotherapy: an RTOG Multi-Institutional and Multiobserver Study. Int J Radiat Oncol Biol Phys 73:944–951
Logue JP, Sharrock CL, Cowan RA et al (1998) Clinical variability of target volume description in conformal radiotherapy planning. Int J Radiat Oncol Biol Phys 41:929–9231
Louie AV, Rodrigues G, Olsthoorn J et al (2010) Inter-observer and intra-observer reliability for lung cancer target volume delineation in the 4D-CT era. Radiother Oncol 95:166–171
Lütgendorf-Caucig C, Fotina I, Stock M et al (2011) Feasibility of CBCT-based target and normal structure delineation in prostate cancer radiotherapy: multi-observer and image multi-modality study. Radiother Oncol 98:154–161
Metwally H, Courbon F, David I et al (2011) Coregistration of prechemotherapy PET-CT for planning pediatric Hodgkin’s disease radiotherapy significantly diminishes interobserver variability of clinical target volume definition. Int J Radiat Oncol Biol Phys 80:793–799
Mitchell JR, Karlik SJ, Lee DH et al (1996) The variability of manual and computer assisted quantification of multiple sclerosis lesion volumes. Med Phys 23:85–97
Njeh CF (2008) Tumor delineation: The weakest link in the search for accuracy in radiotherapy. J Med Phys 33:136–140
Petersen RP, Truong PT, Kader HA et al (2007) Target volume delineation for partial breast radiotherapy planning: Clinical characteristics associated with low interobserver concordance. Int J Radiat Oncol Biol Phys 69:41–48
Pinkawa M, Holy R, Piroth MD et al (2010) Intensity-modulated radiotherapy for prostate cancer implementing molecular imaging with 18 F-choline PET-CT to define a simultaneous integrated boost. Strahlenther Onkol 186:600–606
Pinkawa M, Piroth MD, Holy R et al (2011) Combination of dose escalation with technological advances (intensity-modulated and image-guided radiotherapy) is not associated with increased morbidity for patients with prostate cancer. Strahlenther Onkol 187:479–484
Rasch C, Barillot I, Remeijer P et al (1999) Definition of the prostate in CT and MRI: a multi-observer study. Int J Radiat Oncol Biol Phys 43:57–66
Rasch C, Steenbakkers R, Herk M van (2005) Target definition in prostate, head, and neck. Semin Radiat Oncol 15:136–145
Rasch CR, Steenbakkers RJ, Fitton I et al (2010) Decreased 3D observer variation with matched CT-MRI, for target delineation in nasopharynx cancer. Radiat Oncol 5:21
Senan S, Koste J de, Samson M et al (1999) Evaluation of a target contouring protocol for 3D conformal radiotherapy in non-small cell lung cancer. Radiother Oncol 53:247–255
Smith WL, Lewis C, Bauman G et al (2007) Prostate volume contouring: a 3D analysis of segmentation using 3DTRUS, CT, and MR. Int J Radiat Oncol Biol Phys 67:1238–1247
Song W, Chiu B, Bauman G et al (2006) Prostate contouring uncertainty in megavoltage computed tomography images acquired with a helical tomotherapy unit during image-guided radiation therapy. Int J Radiat Oncol Biol Phys 65:595–607
Steenbakkers RJ, Duppen JC, Fitton I et al (2006) Reduction of observer variation using matched CT-PET for lung cancer delineation: a three-dimensional analysis. Int J Radiat Oncol Biol Phys 64:435–434
Stock M, Dörr W, Stromberger C et al (2010) Investigations on parotid gland recovery after IMRT in head and neck tumor patients. Strahlenther Onkol 186:665–671
Stroom JC, Heijmen BJ (2002) Geometrical uncertainties, radiotherapy planning margins, and the ICRU-62 report. Radiother Oncol 64:75–83
Struikmans H, Wárlám-Rodenhuis C, Stam T et al (2005) Interobserver variability of clinical target volume delineation of glandular breast tissue and of boost volume in tangential breast irradiation. Radiother Oncol 76:293–299
Tong S, Cardinal HN, McLoughlin RF et al (1998) Intra- and interobserver variability and reliability of prostate volume measurement via two-dimensional and three-dimensional ultrasound imaging. Ultrasound Med Biol 24:673–681
Tyng CJ, Chojniak R, Pinto PN et al (2009) Conformal radiotherapy for lung cancer: interobservers’ variability in the definition of gross tumor volume between radiologists and radiotherapists. Radiat Oncol 4:28
Usmani N, Sloboda R, Kamal W et al (2011) Can images obtained with high field strength magnetic resonance imaging reduce contouring variability of the prostate? Int J Radiat Oncol Biol Phys 80:728–734
Baardwijk A van, Bosmans G, Boersma et al (2007) PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes. Int J Radiat Oncol Biol Phys 68:771–778
Mourik AM van, Elkhuizen PH, Minkema D et al (2010) Multiinstitutional study on target volume delineation variation in breast radiotherapy in the presence of guidelines. Radiother Oncol 94:286–291
Villeirs GM, Van Vaerenbergh K, Vakaet L et al (2005) Interobserver delineation variation using CT versus combined CT + MRI in intensity-modulated radiotherapy for prostate cancer. Strahlenther Onkol 181:424–430
Vorwerk H, Beckmann G, Bremer M et al (2009) The delineation of target volumes for radiotherapy of lung cancer patients. Radiother Oncol 91:455–460
Weiss E, Hess CF (2003) The impact of gross tumor volume (GTV) and clinical target volume (CTV) definition on the total accuracy in radiotherapy theoretical aspects and practical experiences. Strahlenther Onkol 179:21–30
Weiss E, Richter S, Krauss T et al (2003) Conformal radiotherapy planning of cervix carcinoma: differences in the delineation of the clinical target volume. A comparison between gynaecologic and radiation oncologists. Radiother Oncol 67:87–95
Weiss E, Wu J, Sleeman W et al (2010) Clinical evaluation of soft tissue organ boundary visualization on cone-beam computed tomographic imaging. Int J Radiat Oncol Biol Phys 78:929–936
Weltens C, Menten J, Feron M et al (2001) Interobserver variations in gross tumor volume delineation of brain tumors on computed tomography and impact of magnetic resonance imaging. Radiother Oncol 60:49–59
White EA, Brock KK, Jaffray DA et al (2009) Inter-observer variability of prostate delineation on cone beam computerised tomography images. Clin Oncol 21:32–38
Acknowledgments
Authors would like to gratefully acknowledge the observers for donating their time for contouring and making this study possible. Irina Fotina acknowledges the financial support from Austrian National Bank (OeNB, project number 12972).
Conflict of interest
The corresponding author states that there are no conflicts of interest.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Fotina, I., Lütgendorf-Caucig, C., Stock, M. et al. Critical discussion of evaluation parameters for inter-observer variability in target definition for radiation therapy. Strahlenther Onkol 188, 160–167 (2012). https://doi.org/10.1007/s00066-011-0027-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00066-011-0027-6