ESTRO 2024 - Abstract Book

S5011

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2024

Figure 2. 3D heatmap (viewed from posterior of tumour). Darker areas predominate on the left and indicate low ADC/high R2*

Conclusion:

Spatial distribution of parameters can be displayed in heatmaps using coordinates. This can help visually identify AOI (Figure 2).

Classification of WTV into blocks can be used to identify and characterise the location of AOI. Identification of high risk AOI at S1 and S2 can potentially modify treatment approaches to mitigate for adverse prognostic outcomes.

Whilst able to display spatial data from a single scan, limitations of SCS include ensuring coordinates for tumour centre (needed for the SCS calculation) are consistent across imaging. This is because changes in volume across treatment are unequal. ρ correlated with absolute tumour size, which suggests SCS delivered most consistency in larger tumours. This supports using larger regional blocks to reduce error. This characterisation approach requires validation in larger cohorts and different tumour types. It may serve as a way of reporting AOI and SH, generating biological maps for AOI tracking and intervention. Tracking changes in regional blocks may be more reliable in large, symmetrical volumes.

Keywords: spatial, distribution, imaging

References:

1. Abdul-Latif M, Tharmalingam H, Tsang Y, Hoskin PJ. Functional Magnetic Resonance Imaging in Cervical Cancer Diagnosis and Treatment. Clinical Oncology. 2023 Sep 1;35(9):598-610.

2. Nykamp DQ, “Spherical coordinates.” From Math Insight. http://mathinsight.org/spherical_coordinates