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Original paper| Volume 77, P160-168, September 2020

Virtual Tangential-fields Arc Therapy (ViTAT) for whole breast irradiation: Technique optimization and validation

Published:August 28, 2020DOI:https://doi.org/10.1016/j.ejmp.2020.08.011

      Highlights

      • ViTAT mimics the dose distribution of tangential fields (TF) plans.
      • Using 20° sectors of four arcs is needed to mimic the delivery of TF.
      • Better PTV homogeneity and lower dose to contralateral OARs are obtained.
      • Mean dose to ipsilateral OARs are unchanged; body integral dose reduced.
      • ViTAT may translate KB-models based on TF data into efficient automatic planning.

      Abstract

      Purpose

      To test the performances of a volumetric arc technique named ViTAT (Virtual Tangential-fields Arc Therapy) mimicking tangential field irradiation for whole breast radiotherapy.

      Methods

      ViTAT plans consisted in 4 arcs whose starting/ending position were established based on gantry angle distribution of clinical plans for right and left-breast. The arcs were completely blocked excluding the first and last 20°. Different virtual bolus densities and thicknesses were preliminarily evaluated to obtain the best plan performances. For 40 patients with tumor laterality equally divided between right and left sides, ViTAT plans were optimized considering the clinical DVHs for OARs (resulting from tangential field manual planning) to constrain them: ViTAT plans were compared with the clinical tangential-fields in terms of DVH parameters for both PTV and OARs.

      Results

      Distal angle values were suggested in the ranges [220°,240°] for the right-breast and [115°,135°] for the left-breast cases; medial angles were [60°,40°] for the right side and [295°,315°] for the left side, limiting the risk of collision. The optimal virtual bolus had −500 HU density and 1.5 cm thickness. ViTAT plans generated dose distributions very similar to the tangential-field plans, with significantly improved PTV homogeneity. The mean doses of ipsilateral OARs were comparable between the two techniques with minor increase of the low-dose spread in the range 2–15 Gy (few % volume); contralateral OARs were slightly better spared with ViTAT.

      Conclusion

      ViTAT dose distributions were similar to tangential-fields. ViTAT should allow automatic plan optimization by developing knowledge-based DVH prediction models of patients treated with tangential-fields.

      Keywords

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      References

      1. World Health Organization. WHO report on cancer 2020. https://apps.who.int/iris/bitstreams/retrieve.

        • Darby S.
        • McGale P.
        • Correa C.
        • Taylor C.
        • Arriagada R.
        • Clarke M.
        • et al.
        Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10 801 women in 17 randomised trials.
        Lancet. 2011; 378: 1707-1716https://doi.org/10.1016/S0140-6736(11)61629-2
        • Chui C.S.
        • Hong L.
        • Hunt M.
        • McCormick B.
        A simplified intensity modulated radiation therapy technique for the breast.
        Med Phys. 2002; 29: 522-529https://doi.org/10.1118/1.1460875
        • Pignol J.P.
        • Olivotto I.
        • Rakovitch E.
        • Gardner S.
        • Sixel K.
        • Beckham W.
        • et al.
        A multicenter randomized trial of breast intensity-modulated radiation therapy to reduce acute radiation dermatitis.
        J Clin Oncol. 2008; 26: 2085-2092https://doi.org/10.1200/JCO.2007.15.2488
        • Donovan E.M.
        • Yarnold J.R.
        • Adams E.J.
        • Morgan A.
        • Warrington A.P.J.
        • Evans P.M.
        An investigation into methods of IMRT planning applied to breast radiotherapy.
        Br J Radiol. 2008; 81: 311-322https://doi.org/10.1259/bjr/28583675
        • Smith W.
        • Menon G.
        • Wolfe N.
        • Ploquin N.
        • Trotter T.
        • Pudney D.
        IMRT for the breast: a comparison of tangential planning techniques.
        Phys Med Biol. 2010; 55: 1231-1241https://doi.org/10.1088/0031-9155/55/4/022
        • Johansen S.
        • Cozzi L.
        • Olsen D.R.
        A planning comparison of dose patterns in organs at risk and predicted risk for radiation induced malignancy in the contralateral breast following radiation therapy of primary breast using conventional, imrt and volumetric modulated arc treatment techniques.
        Act Oncol. 2009; 48: 495-503https://doi.org/10.1080/02841860802657227
        • Nichols G.P.
        • Fontenot J.D.
        • Gibbons J.P.
        • Sanders M.E.
        Evaluation of volumetric modulated arc therapy for postmastectomy treatment.
        Radiat Oncol. 2014; 9: 66https://doi.org/10.1186/1748-717X-9-66
        • Johansen H.
        • Kaae S.
        • Jensen M.B.
        • Mouridsen H.T.
        Extended radical mastectomy versus simple mastectomy followed by radiotherapy in primary breast cancer. a fifty-year follow-up to the Copenhagen Breast Cancer randomised study.
        Acta Oncol. 2008; 47: 633-638https://doi.org/10.1080/02841860801989753
        • Darby S.C.
        • Ewertz M.
        • McGale P.
        • Bennet A.M.
        • Blom-Goldman U.
        • Brnønum D.
        • et al.
        Risk of ischemic heart disease in women after radiotherapy for breast cancer.
        N Engl J Med. 2013; 368: 987-998https://doi.org/10.1056/NEJMoa1209825
        • Penninkhof J.
        • Spadola S.
        • Breedveld S.
        • Baaijens M.
        • Lanconelli N.
        • Heijmen B.
        Individualized selection of beam angles and treatment isocenter in tangential breast intensity modulated radiation therapy.
        Int J Radiat Oncol Biol Phys. 2017; 98: 447-453https://doi.org/10.1016/j.ijrobp.2017.02.008
        • Zhao X.
        • Kong D.
        • Joszef G.
        • et al.
        Automated beam placement for breast radiotherapy using a support vector machine based algorithm.
        Med Phys. 2012; 39: 2536-2543https://doi.org/10.1118/1.3700736
        • Wang W.
        • Purdie T.G.
        • Rahman M.
        • Marshall A.
        • Liu F.F.
        • Fyles A.
        Rapid automated treatment planning process to select breast cancer patients for active breathing control to achieve cardiac dose reduction.
        Int J Radiat Oncol Biol Phys. 2012; 82: 386-393https://doi.org/10.1016/j.ijrobp.2010.09.026
        • Purdie T.G.
        • Dinniwell R.E.
        • Fyles A.
        • Sharpe M.B.
        Automation and intensity modulated radiation therapy for individualized high-quality tangent breast treatment plans.
        Int J Radiat Oncol Biol Phys. 2014; 90: 688-695https://doi.org/10.1016/j.ijrobp.2014.06.056
        • Nicolini G.
        • Clivio A.
        • Fogliata A.
        • Vanetti E.
        • Cozzi L.
        Simultaneous integrated boost radiotherapy for bilateral breast: a treatment planning and dosimetric comparison for volumetric modulated arc and fixed field intensity modulated therapy.
        Radiat Oncol. 2009; 4: 27https://doi.org/10.1186/1748-717X-4-27
        • Fogliata A.
        • Nicolini G.
        • Bourgier C.
        • Clivio A.
        • De Rose F.
        • Fenoglietto P.
        • et al.
        Performance of a knowledge-based model for optimization of volumetric modulated arc therapy plans for single and bilateral breast irradiation.
        PLoS ONE. 2015; 10e0145137https://doi.org/10.1371/journal.pone.0145137
        • Fogliata A.
        • Seppälä J.
        • Reggiori G.
        • Lobefalo F.
        • Palumbo V.
        • De Rose F.
        • et al.
        Dosimetric trade-offs in breast treatment with VMAT technique.
        Br J Radiol. 2017; 90: 20160701https://doi.org/10.1259/bjr.20160701
        • Tsai P.F.
        • Lin S.M.
        • Lee S.H.
        • Yeh C.Y.
        • Huang Y.T.
        • Lee C.C.
        • et al.
        The feasibility study of using multiple partial volumetric-modulated arcs therapy in early stage left-sided breast cancer patients.
        J Appl Clin Med Phys. 2016; 13: 3806https://doi.org/10.1120/jacmp.v13i5.3806
        • Yu A.F.
        • Jones L.W.
        Breast cancer treatment-associated cardiovascular toxicity and effects of exercise countermeasures.
        Cardio-Oncol. 2016; 2: 1https://doi.org/10.1186/s40959-016-0011-5
        • Virén T.
        • Heikkilä J.
        • Myllyoja K.
        • Koskela K.
        • Lahtinen T.
        • Seppälä J.
        Tangential volumetric modulated arc therapy technique for left-sided breast cancer radiotherapy.
        Radiat Oncol. 2015; 10: 79https://doi.org/10.1186/s13014-015-0392-x
      2. AIRO “La Radioterapia dei Tumori della Mammella: Indicazioni e Criteri Guida”, 2013.

        • Rossi M.
        • Boman E.
        • Skyttä T.
        • Haltamo M.
        • Laaksomaa M.
        • Kapanen M.
        Dosimetric effects of anatomical deformations and positioning errors in VMAT breast radiotherapy.
        J Appl Clin Med Phys. 2018; 19: 506-516https://doi.org/10.1002/acm2.12409
        • Lizondo M.
        • Latorre-Musoll A.
        • Ribas M.
        • Carrasco P.
        • Espinosa N.
        • Coral A.
        Pseudo skin flash on VMAT in breast radiotherapy: optimization of virtual bolus thickness and HU values.
        Phys Med. 2019; 63: 56-62https://doi.org/10.1016/j.ejmp.2019.05.010
        • Rinaldin G.
        • Perna L.
        • Agnello G.
        • Pallazzi G.
        • Cattaneo G.M.
        • Fiorino C.
        • et al.
        Quality Assurance of Rapid Arc treatments: performances and pre-clinical verifications of a planar detector (MapCHECK2).
        Phys Med. 2014; 30: 194-1190https://doi.org/10.1016/j.ejmp.2013.05.004
        • Ricotti R.
        • Ciardo D.
        • Fattori G.
        • Leonardi M.C.
        • Morra A.
        • Dicuonzo S.
        • et al.
        Intra-fraction respiratory motion and baseline drift during breast Helical Tomotherapy.
        Radiother Oncol. 2017; 122: 86https://doi.org/10.1016/j.radonc.2016.07.019
        • Alderliesten T.
        • Heemsbergen W.D.
        • Betgen A.
        • Topolnjak R.
        • Elkhuizen P.H.M.
        • van VlietVroegindeweij C.
        • et al.
        Breast-shape changes during radiation therapy after breast-conserving surgery.
        Phys Imag Radiat Oncol. 2018; 6: 71-76https://doi.org/10.1016/j.phro.2018.05.006
        • Yin Y.
        • Chen J.
        • Sun T.
        • Ma C.
        • Lu J.
        • Liu T.
        • et al.
        Dosimetric research on intensity-modulated arc radiotherapy planning for left breast cancer after breast-preservation surgery.
        Med Dosim. 2012; 37: 287-292
        • Taylor C.
        • Correa C.
        • Duane F.K.
        • Aznar M.C.
        • Anderson S.J.
        • Bergh J.
        • et al.
        Estimating the Risks of Breast cancer radiotherapy: evidence from modern radiation doses to the lungs and Heart and From previous randomized trials.
        J Clin Oncol. 2017; 35: 1641-1649https://doi.org/10.1200/JCO.2016.72.0722
        • Grantzau T.
        • Thomsen M.S.
        • Væth M.
        • Overgaard J.
        Risk of second primary lung cancer in women after radiotherapy for breast cancer.
        Radiother Oncol. 2014; 111: 366-373https://doi.org/10.1016/j.radonc.2014.05.004
        • Abo-Madyan Y.
        • Aziz M.H.
        • Aly M.M.
        • Schneider F.
        • Sperk E.
        • Clausen S.
        • et al.
        Second cancer risk after 3D-CRT, IMRT and VMAT for breast cancer.
        Radiother Oncol. 2014; 110: 471-476https://doi.org/10.1016/j.radonc.2013.12.002
        • Cozzi L.
        • Lohr F.
        • Fogliata A.
        • Franceschini D.
        • De Rose F.
        • Filippi A.R.
        • et al.
        Critical appraisal of the role of volumetric modulated arc therapy in the radiation therapy management of breast cancer.
        Radiat Oncol. 2017; 12: 200https://doi.org/10.1186/s13014-017-0935-4
        • Sudha S.
        • Seenisamy R.
        • Bharadhwaj K.
        Comparison of dosimetric parameters of volumetric modulated arc therapy and three-dimensional conformal radiotherapy in postmastectomy patients with carcinoma breast.
        J Cancer Res Ther. 2018; 14: 1005-1009https://doi.org/10.4103/0973-1482.189400
        • Li Z.
        • Wang K.
        • Shi Y.
        • Zhang X.
        • Wen J.
        Incidence of second primary malignancy after breast cancer and related risk factors—is breast-conserving surgery safe? A nested case–control study.
        Int J Cancer. 2020; 146: 352-362https://doi.org/10.1002/ijc.32259
        • Fogliata A.
        • Belosi F.
        • Clivio A.
        • Navarria P.
        • Nicolini G.
        • Scorsetti M.
        • et al.
        On the pre-clinical validation of a commercial model-based optimisation engine: application to volumetric modulated arc therapy for patients with lung or prostate cancer.
        Radiother Oncol. 2014; 113: 385-391https://doi.org/10.1016/j.radonc.2014.11.009
        • Castriconi R.
        • Fiorino C.
        • Broggi S.
        • Cozzarini C.
        • Di Muzio N.
        • Calandrino R.
        • et al.
        Comprehensive Intra-Institution stepping validation of knowledge-based models for automatic plan optimization.
        Phys Med. 2019; 57: 231-237https://doi.org/10.1016/j.ejmp.2018.12.002
        • Castriconi R.
        • Fiorino C.
        • Passoni P.
        • Broggi S.
        • Di Muzio N.G.
        • Cattaneo G.M.
        • et al.
        Knowledge-based automatic optimization of adaptive early-regression-guided VMAT for rectal cancer.
        Phys Med. 2020; 70: 58-64https://doi.org/10.1016/j.ejmp.2020.01.016
        • van Duren-Koopman M.J.
        • Tol J.P.
        • Dahele M.
        • Bucko E.
        • Meijnen P.
        • Slotman B.J.
        • et al.
        Personalized automated treatment planning for breast plus locoregional lymph nodes using Hybrid RapidArc.
        Pract Radiat Oncol. 2018; 8: 332-341https://doi.org/10.1016/j.prro.2018.03.008
        • Wang J.
        • Hu W.
        • Yang Z.
        • Chen X.
        • Wu Z.
        • Yu X.
        • et al.
        Is it possible for knowledge-based planning to improve intensity modulated radiation therapy plan quality for planners with different planning experiences in left-sided breast cancer patients?.
        Radiat Oncol. 2017; 12: 85https://doi.org/10.1186/s13014-017-0822-z