Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Saturday
May 07
10:30 - 11:30
Poster Station 2
04: Paediatrics, haematology
Henry Mandeville, United Kingdom
Poster Discussion
Clinical
Atlas-based auto-contouring of breast tissue in young female lymphoma patients
Hannah Chamberlin, United Kingdom
PD-0174

Abstract

Atlas-based auto-contouring of breast tissue in young female lymphoma patients
Authors:

Hannah Chamberlin1, Tanwiwat Jaikuna1, Carmel Anandadas2, Richard Cowan2, Susan Astley3, Sacha Howell4, John Radford4, David Azria5, Sara Gutiérrez Enriquez6, Tiziana Rancati7, Barry Rosenstein8, Dirk de Ruysscher9, Elena Sperk10, Paul Symonds11, Christopher Talbot11, Maria Carmen De Santis12, Ana Vega13, Liv Veldeman14, Adam Webb11, Catharine West1, Jenny Chang-Claude15, Petra Seibold16, Zoe Lingard1, Eliana Vasquez Osorio1, Marianne Aznar1

1University of Manchester, Division of Cancer Sciences, Manchester, United Kingdom; 2The Christie NHS Foundation Trust, Department of Clinical Oncology, Manchester, United Kingdom; 3University of Manchester, Division of Informatics, Imaging and Data Sciences, Manchester, United Kingdom; 4The Christie NHS Foundation Trust, Department of Medical Oncology, Manchester, United Kingdom; 5L'Institut du Cancer de Montpellier, Faculty of Medicine, Montpellier, France; 6Vall d'Hebron Institute of Oncology (VHIO), Hereditary Cancer Genetics Group, Barcelona, Spain; 7Fondazione IRCCS Istituto Nazionale dei Tumori, Prostate Cancer Program, Milan, Italy; 8Mount Sinai, Department of Radiation Oncology, New York, USA; 9Maastricht University Medical Center, Department of Radiation Oncology, Maastricht, The Netherlands; 10Universitätsmedizin Mannheim, Clinical Trials Unit Mannheim Cancer Center, Mannheim, Germany; 11University of Leicester, Department of Genetics and Genome Biology, Leicester, United Kingdom; 12Fondazione IRCCS Isituto Nazionale dei Tumori, Department of Radiation Oncology, Milan, Italy; 13Fundación Pública Galega de Medicina Xenómica, University Hospital Santiago de Compostela, Molecular Medicine Service, Santiago de Compostela, Spain; 14Ghent University Hospital, Department of Radiation Oncology, Ghent, Belgium; 15German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany; 16 German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany

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Purpose or Objective

Manual contouring adds to the RT planning workload, thus atlas-based auto-contouring tools (ABAC) have been explored for several sites. Young women (<36yo) treated for lymphoma with supradiaphragmatic RT have an increased risk of developing breast cancer (BC) compared to the general population, and would benefit from time of treatment breast contouring via breast ABAC to minimise RT dose. However, there is limited published research in breast ABAC for non-BC patients. Here, we evaluate the performance of ABAC developed on BC patients to contour breast tissue on young lymphoma patients, and hypothesise that they will perform worse than ABAC specifically developed for lymphoma patients.

Material and Methods

ABAC were built on 20 templates from 2 patient groups, including 10 female lymphoma patients (18-36yo, 8/10 arms down) treated with supradiaphragmatic RT (ABAClymph) and 10 female BC patients (36-75yo, all arms up, 8/10 right-sided breast RT) from the REQUITE study (ABACbreast). All contours were manually drawn by expert breast oncologists following ESTRO guidelines without the 5mm crop from skin. A leave-one-out (LOO) approach in each group was implemented in RayStation v6.99. Additionally, each LOO tool was applied to the other diagnostic group, generating 10 extra contours per patient (e.g. each lymphoma patient had 1 ABAClymph and 10 ABACbreast contours). ABAC performance was evaluated using mean distance to agreement (meanDTA) and Dice similarity coefficient (DSC). Metrics for the contour generated using the LOO approach (i.e. using the other 9 patients in the same group) were compared to the averaged metric of the 10 extra contours (each generated using 9 templates from the other group).

Results

Results are reported for left and right breasts combined (see table 1). Despite different age ranges, no significant difference in breast volume or average breast density was observed between the two diagnostic groups. ABACbreast applied to BC patients performed best; DSC median 0.89 (range 0.75-0.96), meanDTA 0.25cm (0.13-0.90) (see fig 1). Unexpectedly, when applied to lymphoma patients, ABAClymph did not appear to perform better than ABACbreast; DSC 0.86 (0.46-0.91) vs 0.86 (0.56-0.94), meanDTA 0.28cm (0.14-0.82) vs 0.24cm (0.18-0.65). We also observed poorer performance on the left breast than the right in all ABACs.



Conclusion

We could not confirm our hypothesis that lymphoma-specific ABAC performs better than ABAC developed using BC patients. The disappointing performance of ABAC tools for breast contouring in young lymphoma patients suggests more sophisticated methods might be needed in this complex population, e.g. specific atlases to account for variations in arm position and different dense tissue distribution in the breast. We also found ESTRO guidelines need small adaptations to contour ‘breast as an OAR’, which needs further exploration. The different performance between right and left breasts may be due to differences in heart and lung shape and is the subject of ongoing work.