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Volumn 117, Issue 3, 2015, Pages 438-441

A phantom assessment of achievable contouring concordance across multiple treatment planning systems

Author keywords

Contouring; Delineation; DICE; Hausdorff; Inter observer; Radiotherapy

Indexed keywords

ARTICLE; BREAST; CANCER RADIOTHERAPY; IMAGE QUALITY; KAPPA STATISTICS; OBSERVER VARIATION; PHANTOM; PRIORITY JOURNAL; RADIOTHERAPY PLANNING SYSTEM; HUMAN; IMAGING PHANTOM; PROCEDURES; REFERENCE VALUE; STANDARDS;

EID: 84945581920     PISSN: 01678140     EISSN: 18790887     Source Type: Journal    
DOI: 10.1016/j.radonc.2015.09.022     Document Type: Article
Times cited : (8)

References (29)
  • 1
    • 84910155270 scopus 로고    scopus 로고
    • Recommendations on how to establish evidence from auto-segmentation software in radiotherapy
    • [1] Valentini, V., Boldrini, L., Damiani, A., Muren, L.P., Recommendations on how to establish evidence from auto-segmentation software in radiotherapy. Radiother Oncol 3 (2014), 317–320.
    • (2014) Radiother Oncol , vol.3 , pp. 317-320
    • Valentini, V.1    Boldrini, L.2    Damiani, A.3    Muren, L.P.4
  • 2
    • 79952440470 scopus 로고    scopus 로고
    • Does atlas-based autosegmentation of neck levels require subsequent manual contour editing to avoid risk of severe target underdosage? A dosimetric analysis
    • [2] Voet, P.W.J., Dirkx, M.L.P., Teguh, D.N., et al. Does atlas-based autosegmentation of neck levels require subsequent manual contour editing to avoid risk of severe target underdosage? A dosimetric analysis. Radiother Oncol 98 (2011), 373–377.
    • (2011) Radiother Oncol , vol.98 , pp. 373-377
    • Voet, P.W.J.1    Dirkx, M.L.P.2    Teguh, D.N.3
  • 3
    • 84911003909 scopus 로고    scopus 로고
    • Correlation of contouring variation with modeled outcome for conformal non-small cell lung cancer radiotherapy
    • [3] Jameson, M.G., Kumar, S., Vinod, S.K., Metcalfe, P.E., Holloway, L.C., Correlation of contouring variation with modeled outcome for conformal non-small cell lung cancer radiotherapy. Radiother Oncol 112 (2014), 332–336.
    • (2014) Radiother Oncol , vol.112 , pp. 332-336
    • Jameson, M.G.1    Kumar, S.2    Vinod, S.K.3    Metcalfe, P.E.4    Holloway, L.C.5
  • 4
    • 84890867409 scopus 로고    scopus 로고
    • Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy
    • e31-7
    • [4] Yang, J., Beadle, B.M., Garden, A.S., et al. Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy. Pract Radiat Oncol, 4, 2014 e31-7.
    • (2014) Pract Radiat Oncol , vol.4
    • Yang, J.1    Beadle, B.M.2    Garden, A.S.3
  • 5
    • 0037240202 scopus 로고    scopus 로고
    • The impact of gross tumor volume (GTV) and clinical target volume (CTV) definition on the total accuracy in radiotherapy
    • [5] Weiss, E., Hess, C.F., The impact of gross tumor volume (GTV) and clinical target volume (CTV) definition on the total accuracy in radiotherapy. Strahlenther und Onkol 179 (2003), 21–30.
    • (2003) Strahlenther und Onkol , vol.179 , pp. 21-30
    • Weiss, E.1    Hess, C.F.2
  • 6
    • 84858032106 scopus 로고    scopus 로고
    • Critical discussion of evaluation parameters for inter-observer variability in target definition for radiation therapy
    • [6] Fotina, I., Lütgendorf-Caucig, C., Stock, M., Pötter, R., Georg, D., Critical discussion of evaluation parameters for inter-observer variability in target definition for radiation therapy. Strahlenther Onkol 188 (2012), 160–167.
    • (2012) Strahlenther Onkol , vol.188 , pp. 160-167
    • Fotina, I.1    Lütgendorf-Caucig, C.2    Stock, M.3    Pötter, R.4    Georg, D.5
  • 7
    • 84891771166 scopus 로고    scopus 로고
    • Interactive contour delineation and refinement in treatment planning of image-guided radiation therapy
    • [7] Zhou, W., Xie, Y., Interactive contour delineation and refinement in treatment planning of image-guided radiation therapy. JACMP 15 (2014), 4499–4522.
    • (2014) JACMP , vol.15 , pp. 4499-4522
    • Zhou, W.1    Xie, Y.2
  • 8
    • 84866650623 scopus 로고    scopus 로고
    • Assessment of accuracy and efficiency of atlas-based autosegmentation for prostate radiotherapy in a variety of clinical conditions
    • [8] Simmat, I., Georg, P., Georg, D., et al. Assessment of accuracy and efficiency of atlas-based autosegmentation for prostate radiotherapy in a variety of clinical conditions. Strahlenther und Onkol 188 (2012), 807–815.
    • (2012) Strahlenther und Onkol , vol.188 , pp. 807-815
    • Simmat, I.1    Georg, P.2    Georg, D.3
  • 9
    • 84983507972 scopus 로고    scopus 로고
    • Estimating a delineation uncertainty margin to account for inter-observer variability in breast cancer radiotherapy
    • [9] Holloway, L.C., Jameson, M.G., Batumalai, V., et al. Estimating a delineation uncertainty margin to account for inter-observer variability in breast cancer radiotherapy. Int J Radiat Oncol Biol Phys, 78, 2010, S741.
    • (2010) Int J Radiat Oncol Biol Phys , vol.78 , pp. S741
    • Holloway, L.C.1    Jameson, M.G.2    Batumalai, V.3
  • 10
    • 79251564908 scopus 로고    scopus 로고
    • Quantitative assessment of inter-observer variability in target volume delineation on stereotactic radiotherapy treatment for pituitary adenoma and meningioma near optic tract
    • [10] Yamazaki, H., Shiomi, H., Tsubokura, T., et al. Quantitative assessment of inter-observer variability in target volume delineation on stereotactic radiotherapy treatment for pituitary adenoma and meningioma near optic tract. Radiat Oncol, 6, 2011.
    • (2011) Radiat Oncol , vol.6
    • Yamazaki, H.1    Shiomi, H.2    Tsubokura, T.3
  • 11
    • 79951855794 scopus 로고    scopus 로고
    • Feasibility of CBCT-based target and normal structure delineation in prostate cancer radiotherapy: multi-observer and image multi-modality study
    • [11] Lütgendorf-Caucig, C., Fotina, I., Stock, M., et al. Feasibility of CBCT-based target and normal structure delineation in prostate cancer radiotherapy: multi-observer and image multi-modality study. Radiother Oncol 98 (2011), 154–161.
    • (2011) Radiother Oncol , vol.98 , pp. 154-161
    • Lütgendorf-Caucig, C.1    Fotina, I.2    Stock, M.3
  • 12
    • 84983507944 scopus 로고    scopus 로고
    • The Computational Environment for Radiotherapy Research (CERR).
    • [12] Apte A, Khullar D, Alaly J and Deasy JO. The Computational Environment for Radiotherapy Research (CERR). 2010; http://www.cerr.info/about.php.
    • (2010)
    • Apte, A.1    Khullar, D.2    Alaly, J.3    Deasy, J.O.4
  • 13
    • 0037572347 scopus 로고    scopus 로고
    • CERR: a computational environment for radiotherapy research
    • [13] Deasy, J.O., Blanco, A.I., Clark, V.H., CERR: a computational environment for radiotherapy research. Med Phys 30 (2003), 979–985.
    • (2003) Med Phys , vol.30 , pp. 979-985
    • Deasy, J.O.1    Blanco, A.I.2    Clark, V.H.3
  • 14
    • 25844455703 scopus 로고    scopus 로고
    • Interobserver variability of clinical target volume delineation of glandular breast tissue and of boost volume in tangential breast irradiation
    • [14] Struikmans, H., Wárlám-Rodenhuis, C., Stam, T., et al. Interobserver variability of clinical target volume delineation of glandular breast tissue and of boost volume in tangential breast irradiation. Radiother Oncol 76 (2005), 293–299.
    • (2005) Radiother Oncol , vol.76 , pp. 293-299
    • Struikmans, H.1    Wárlám-Rodenhuis, C.2    Stam, T.3
  • 15
    • 67649869940 scopus 로고    scopus 로고
    • Measuring the similarity of target volume delineations independent of the number of observers
    • [15] Kouwenhoven, E., Giezen, M., Struikmans, H., Measuring the similarity of target volume delineations independent of the number of observers. Phys Med Biol, 54, 2009, 2863.
    • (2009) Phys Med Biol , vol.54 , pp. 2863
    • Kouwenhoven, E.1    Giezen, M.2    Struikmans, H.3
  • 16
    • 84902367907 scopus 로고    scopus 로고
    • Opportunities for image analysis in radiation oncology
    • [16] Dowling, J.A., Opportunities for image analysis in radiation oncology. Australas Phys Eng Sci Med 37 (2014), 275–277.
    • (2014) Australas Phys Eng Sci Med , vol.37 , pp. 275-277
    • Dowling, J.A.1
  • 18
    • 34547838167 scopus 로고    scopus 로고
    • Target volume delineation for partial breast radiotherapy planning: clinical characteristics associated with low interobserver concordance
    • [18] Petersen, R.P., Truong, P.T., Kader, H.A., et al. Target volume delineation for partial breast radiotherapy planning: clinical characteristics associated with low interobserver concordance. Int J Radiat Oncol Biol Phys 69 (2007), 41–48.
    • (2007) Int J Radiat Oncol Biol Phys , vol.69 , pp. 41-48
    • Petersen, R.P.1    Truong, P.T.2    Kader, H.A.3
  • 19
    • 0030059743 scopus 로고    scopus 로고
    • Intra- and interfractional reproducibility of tangential breast fields: a prospective on-line portal imaging study
    • [19] Fein, D.A., McGee, K.P., Schultheiss, T.E., Fowble, B.L., Hanks, G.E., Intra- and interfractional reproducibility of tangential breast fields: a prospective on-line portal imaging study. Int J Radiat Oncol Biol Phys 34 (1996), 733–740.
    • (1996) Int J Radiat Oncol Biol Phys , vol.34 , pp. 733-740
    • Fein, D.A.1    McGee, K.P.2    Schultheiss, T.E.3    Fowble, B.L.4    Hanks, G.E.5
  • 23
    • 78650820563 scopus 로고    scopus 로고
    • Consensus guidelines for delineation of clinical target volume for intensity-modulated pelvic radiotherapy for the definitive treatment of cervix cancer
    • [23] Lim, K., Small, W. Jr., Portelance, L., et al. Consensus guidelines for delineation of clinical target volume for intensity-modulated pelvic radiotherapy for the definitive treatment of cervix cancer. Int J Radiat Oncol Biol Phys 79 (2011), 348–355.
    • (2011) Int J Radiat Oncol Biol Phys , vol.79 , pp. 348-355
    • Lim, K.1    Small, W.2    Portelance, L.3
  • 24
    • 84867140087 scopus 로고    scopus 로고
    • 3D Slicer as an image computing platform for the Quantitative Imaging Network
    • [24] Fedorov, A., Sonka, M., Buatti, J., et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging 30 (2012), 1323–1341.
    • (2012) Magn Reson Imaging , vol.30 , pp. 1323-1341
    • Fedorov, A.1    Sonka, M.2    Buatti, J.3
  • 26
    • 84867308901 scopus 로고    scopus 로고
    • SlicerRT: radiation therapy research toolkit for 3D Slicer
    • [26] Pinter, C., Lasso, A., Wang, A., Jaffray, D., Fichtinger, G., SlicerRT: radiation therapy research toolkit for 3D Slicer. Med Phys 39 (2012), 6332–6338.
    • (2012) Med Phys , vol.39 , pp. 6332-6338
    • Pinter, C.1    Lasso, A.2    Wang, A.3    Jaffray, D.4    Fichtinger, G.5
  • 27
    • 77952369053 scopus 로고    scopus 로고
    • Comparison of DVH data from multiple radiotherapy treatment planning systems
    • [27] Ebert, M.A., Haworth, A., Kearvell, R., et al. Comparison of DVH data from multiple radiotherapy treatment planning systems. Phys Med Biol, 55, 2010, N337.
    • (2010) Phys Med Biol , vol.55 , pp. N337
    • Ebert, M.A.1    Haworth, A.2    Kearvell, R.3
  • 28
    • 77749291780 scopus 로고    scopus 로고
    • Estimation of inferential uncertainty in assessing expert segmentation performance from STAPLE
    • [28] Commowick, O., Warfield, S.K., Estimation of inferential uncertainty in assessing expert segmentation performance from STAPLE. IEEE Trans Med Imaging 29 (2010), 771–780.
    • (2010) IEEE Trans Med Imaging , vol.29 , pp. 771-780
    • Commowick, O.1    Warfield, S.K.2
  • 29
    • 84983540055 scopus 로고    scopus 로고
    • Double reading for gross tumor volume assessment in radiotherapy planning
    • [29] Ryuji, M., Toshinori, H., Ryo, T., Hideo, N., Yasuyuki, Y., Double reading for gross tumor volume assessment in radiotherapy planning. J Solid Tumors, 2, 2012, 38.
    • (2012) J Solid Tumors , vol.2 , pp. 38
    • Ryuji, M.1    Toshinori, H.2    Ryo, T.3    Hideo, N.4    Yasuyuki, Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.