How do patient characteristics and anatomical features correlate to accuracy of organ dose reconstruction for Wilms' tumor radiation treatment plans when using a surrogate patient's CT scan?

Journal Article (2019)
Author(s)

Z. Wang (Universiteit van Amsterdam)

B.V. Balgobind (Universiteit van Amsterdam)

Marco Virgolin (Centrum Wiskunde & Informatica (CWI))

I.W.E.M. van Dijk (Universiteit van Amsterdam)

Jan Wiersma (Universiteit van Amsterdam)

Cécile M. Ronckers (Princess Máxima Center for Pediatric Oncology, Universiteit van Amsterdam)

P.A.N. Bosman (Centrum Wiskunde & Informatica (CWI))

Arjan Bel (Universiteit van Amsterdam)

T. Alderliesten (Universiteit van Amsterdam)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1088/1361-6498/ab1796
More Info
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Publication Year
2019
Language
English
Affiliation
External organisation
Issue number
2
Volume number
39
Pages (from-to)
598-619

Abstract


In retrospective radiation treatment (RT) dosimetry, a surrogate anatomy is often used for patients without 3D CT. To gain insight in what the crucial aspects in a surrogate anatomy are to enable accurate dose reconstruction, we investigated the relation of patient characteristics and internal anatomical features with deviations in reconstructed organ dose using surrogate patient's CT scans. Abdominal CT scans of 35 childhood cancer patients (age: 2.1-5.6 yr; 17 boys, 18 girls) undergoing RT during 2004-2016 were included. Based on whether an intact right or left kidney is present in the CT scan, two groups were formed each containing 24 patients. From each group, four CTs associated with Wilms' tumor RT plans with an anterior-posterior - posterior-anterior field setup were selected as references. For each reference, a 2D digitally reconstructed radiograph was computed from the reference CT to simulate a 2D radiographic image and dose reconstruction was performed on the other CTs in the respective group. Deviations in organ mean dose (DE
mean
) of the reconstructions versus the references were calculated, as were deviations in patient characteristics (i.e. age, height, weight) and in anatomical features including organ volume, location (in 3D), and spatial overlaps. Per reference, the Pearson's correlation coefficient between deviations in DE
mean
and patient characteristics/features were studied. Deviation in organ locations and DE
mean
for the liver, spleen, and right kidney were moderately correlated (R
2

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