Radiomic textural analysis of non-tumoral brain regions in paediatric medulloblastoma following radiotherapy

Congress:

ECR 2022

Poster Number:

C-10308

Type:

Scientific Exhibit

Keywords:

Oncology, Paediatric, Radioprotection / Radiation dose, MR, Radiation therapy / Oncology, Radiobiology, Biological effects, Cancer, Toxicity

Authors:

P. U. Sakhavalkar, S. Avula, N. Thorp, B. Pizer, M. Jenkinson

DOI:

10.26044/ecr2022/C-10308

DOI-Link:

https://dx.doi.org/10.26044/ecr2022/C-10308

References

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Gudrunardottir T et al, Treatment developments and the unfolding of the quality of life discussions in childhood medulloblastoma: a review. Childs Nerv Syst,2014. 30(6) p.979-90.
Packer R J and G Veniza, Management of and prognosis with medulloblastoma: therapy at a crossroads. Arch Neurol, 2008. 65(11):p.1419-24.
L Levisohn, A.C.G, J D Schmahmann, Neuropsychological consequences of cerebellar tumour resection in children- cerebellar cognitive affective syndrome in a pediatric population. Brain imaging Behav 2000.123:p.1041-50.
Fouladi M, et al, White matter lesions detected by magnetic resonance imaging after radiotherapy and high-dose chemotherapy in children with medulloblastoma or primitive neuroectodermal tumour. J Clin Oncol 2004.22(22):p. 4551-60
Spiteri, M et al. Full-Automated identification of imaging biomarkers for postoperative cerebellar mutism syndrome using longitudinal paediatric MRI. Neuroinformatics, 2020. 18(1) p.151-162
Dietrich U, et al, White matter disease in children treated for malignant brain tumours. Childs Nerve Syst 2001. 17(12):p.731-8.
Granzier RWY et al. MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability. Sci Rep 2020.10 (1):p.14163
Van Timmeren JE et al. Radiomics in medical imaging - "how-to" guide and critical reflection. Insights into imaging 2020.11(1).
Lee J et al. Radiomic feature robustness as measured using an MRI phantom. Scientific reports 2021.11(1)
Larroza A et al. Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI. J Magn Resn Imaging 2015. 42(5):p.1362-8

Fig 1: Methodology

Fig 2: T2 scan showing cerebellar hyperintensity on qualitative analysis

Fig 3: Showing ROIs drawn in the dentate nucleus of right and left cerebellum

Fig 4: Simple boxplot showing significant differences between 2-yr and 5-yr with and...

Fig 5: Results table for the group 2-year qualitative progressive signal change

Fig 6: Results table showing the group 5-year qualitative Progressive Signal Change

Fig 7: Graph showing ROC curve for 2-year qualitative PSC group

Fig 8: AUC table for 2-year qualitative PSC group

Fig 9: Graph Showing ROC curve for 5-Year qualitative PSC group

Fig 10: Table showing AUC for 5-Year qualitative PSC group.