Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lymph Node Graph Neural Networks for Cancer Metastasis Prediction   Predicting outcomes, such as survival or metastasis for individual cancer
patients is a crucial component of precision oncology. Machine learning (ML)
offers a promising way to exploit rich multi-modal data, including clinical
information and imaging to learn predictors of disease trajectory and help
inform clinical decision making. In this paper, we present a novel graph-based
approach to incorporate imaging characteristics of existing cancer spread to
local lymph nodes (LNs) as well as their connectivity patterns in a prognostic
ML model. We trained an edge-gated Graph Convolutional Network (Gated-GCN) to
accurately predict the risk of distant metastasis (DM) by propagating
information across the LN graph with the aid of soft edge attention mechanism.
In a cohort of 1570 head and neck cancer patients, the Gated-GCN achieves AUROC
of 0.757 for 2-year DM classification and $C$-index of 0.725 for lifetime DM
risk prediction, outperforming current prognostic factors as well as previous
approaches based on aggregated LN features. We also explored the importance of
graph structure and individual lymph nodes through ablation experiments and
interpretability studies, highlighting the importance of considering individual
LN characteristics as well as the relationships between regions of cancer
spread.

14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex