TY - JOUR
T1 - The dosimetric impact of axillary nodes contouring variability in breast cancer radiotherapy: An AIRO multi-institutional study
AU - Leonardi, Maria Cristina
AU - Pepa, Matteo
AU - Luraschi, Rosa
AU - Vigorito, Sabrina
AU - Dicuonzo, Samantha
AU - Isaksson, Lars Johannes
AU - La Porta, Maria Rosa
AU - Marino, Lorenza
AU - Ippolito, Edy
AU - Huscher, Alessandra
AU - Argenone, Angela
AU - De Rose, Fiorenza
AU - Cucciarelli, Francesca
AU - Carmen De Santis, Maria
AU - Rossi, Francesca
AU - Prisco, Agnese
AU - Guarnaccia, Roberta
AU - Tabarelli de Fatis, Paola
AU - Palumbo, Isabella
AU - Colangione, Sarah Pia
AU - Mormile, Maria
AU - Ravo, Vincenzo
AU - Fozza, Alessandra
AU - Aristei, Cynthia
AU - Orecchia, Roberto
AU - Cattani, Federica
AU - Jereczek-Fossa, Barbara Alicja
AU - the Collaborative Italian Association of Radiotherapy and Clinical Oncology (AIRO) Breast Study Group
N1 - Funding Information:
This work was partially supported by the Italian Ministry of Health with Ricerca Corrente and 5 × 1000 funds. MP was supported by a research grant from Accuray Inc. entitled “Data collection and analysis of Tomotherapy and CyberKnife breast clinical studies, breast physics studies and prostate study”. SGG was partially supported by Associazione Italiana per la Ricerca sul Cancro (AIRC), project IG-14300 “Carbon ions boost followed by pelvic photon intensity modulated radiotherapy for high-risk prostate cancer”, registered at ClinicalTrials.gov (NCT02672449), approved by IEO R86/14- IEO 98. LJI is a PhD student at the European School of Molecular Medicine (SEMM), Milan, Italy. The sponsors did not play any role in the study design, collection, analysis and interpretation of data, nor in the writing of the manuscript, nor in the decision to submit the manuscript for publication. The authors thank the Scientific Committee and Board of the Italian Association of Radiotherapy and Clinical Oncology (AIRO) for the critical revision of the paper.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/3
Y1 - 2022/3
N2 - Aim: To quantify the dosimetric impact of contouring variability of axillary lymph nodes (L2, L3, L4) in breast cancer (BC) locoregional radiotherapy (RT). Materials and methods: 18 RT centres were asked to plan a locoregional treatment on their own planning target volume (single centre, SC-PTV) which was created by applying their institutional margins to the clinical target volume of the axillary nodes of three BC patients (P1, P2, P3) previously delineated (SC-CTV). The gold standard CTVs (GS-CTVs) of P1, P2 and P3 were developed by BC experts’ consensus and validated with STAPLE algorithm. For each participating centre, the GS-PTV of each patient was created by applying the same margins as those used for the SC-CTV to SC-PTV expansion and replaced the SC-PTV in the treatment plan. Datasets were imported into MIM v6.1.7 [MIM Software Inc.], where dose-volume histograms (DVHs) were extracted and differences were analysed. Results: 17/18 centres used intensity-modulated RT (IMRT). The CTV to PTV margins ranged from 0 to 10 mm (median 5 mm). No correlation was observed between GS-CTV coverage by 95% isodose and GS-PTV margins width. Doses delivered to 98% (D98) and 95% (D95) of GS-CTVs were significantly lower than those delivered to the SC-CTVs. No significant difference between SC-CTV and GS-CTV was observed in maximum dose (D2), always under 110%. Mean dose ≥99% of the SC-CTVs and GS-CTVs was satisfied in 84% and 50%, respectively. In less than one half of plans, GS-CTV V95% was above 90%. Breaking down the GS-CTV into the three nodal levels (L2, L3 and L4), L4 had the lowest probability to be covered by the 95% isodose. Conclusions: Overall, GS-CTV resulted worse coverage, especially for L4. IMRT was largely used and CTV-to-PTV margins did not compensate for contouring issues. The results highlighted the need for delineation training and standardization.
AB - Aim: To quantify the dosimetric impact of contouring variability of axillary lymph nodes (L2, L3, L4) in breast cancer (BC) locoregional radiotherapy (RT). Materials and methods: 18 RT centres were asked to plan a locoregional treatment on their own planning target volume (single centre, SC-PTV) which was created by applying their institutional margins to the clinical target volume of the axillary nodes of three BC patients (P1, P2, P3) previously delineated (SC-CTV). The gold standard CTVs (GS-CTVs) of P1, P2 and P3 were developed by BC experts’ consensus and validated with STAPLE algorithm. For each participating centre, the GS-PTV of each patient was created by applying the same margins as those used for the SC-CTV to SC-PTV expansion and replaced the SC-PTV in the treatment plan. Datasets were imported into MIM v6.1.7 [MIM Software Inc.], where dose-volume histograms (DVHs) were extracted and differences were analysed. Results: 17/18 centres used intensity-modulated RT (IMRT). The CTV to PTV margins ranged from 0 to 10 mm (median 5 mm). No correlation was observed between GS-CTV coverage by 95% isodose and GS-PTV margins width. Doses delivered to 98% (D98) and 95% (D95) of GS-CTVs were significantly lower than those delivered to the SC-CTVs. No significant difference between SC-CTV and GS-CTV was observed in maximum dose (D2), always under 110%. Mean dose ≥99% of the SC-CTVs and GS-CTVs was satisfied in 84% and 50%, respectively. In less than one half of plans, GS-CTV V95% was above 90%. Breaking down the GS-CTV into the three nodal levels (L2, L3 and L4), L4 had the lowest probability to be covered by the 95% isodose. Conclusions: Overall, GS-CTV resulted worse coverage, especially for L4. IMRT was largely used and CTV-to-PTV margins did not compensate for contouring issues. The results highlighted the need for delineation training and standardization.
KW - Breast cancer
KW - Dosimetry
KW - Inter-observer variability
KW - Nodal contouring
KW - Radiotherapy
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U2 - 10.1016/j.radonc.2022.01.004
DO - 10.1016/j.radonc.2022.01.004
M3 - Article
AN - SCOPUS:85124252973
SN - 0167-8140
VL - 168
SP - 113
EP - 120
JO - Radiotherapy and Oncology
JF - Radiotherapy and Oncology
ER -