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Identifier

000452388

Title

1. MRI-based radiomics analysis of sacroiliitis 2. Detecting sacroiliitis with the use MRI-based radiomics and machine learning.

Author

Τριανταφύλλου, Ματθαίος

Thesis advisor

Καραντάνας, Απόστολος
Κλώντζας, Μιχαήλ

Abstract

Diagnosing active inflammatory sacroiliitis (IS) at an early stage is crucial to prescribe drugs that modulate the disease progression and significantly delay or prevent the debilitating forms of axial spondyloarthropathy. Conventional radiography and Computed tomography are not sensitive to acute inflammatory findings and mostly detect chronic structural lesions. MRI, on the other hand, is the modality of choice to detect bone marrow edema or osteitis. However, this is a laborious process that takes years to master. Moreover, differentiating the causality of these lesions can be challenging, even for experienced doctors. Machine Learning (ML) has proven its ability in various fields, by figuring out patterns not easy to spot in multi-dimensional datasets. The goal of this thesis is to create a radiomic signature that executes this task, to serve as an ancillary tool for medical doctors to diagnose active sacroiliitis. Sacroiliac joints from 565 individuals were segmented from axial fluid-sensitive MRI images and radiomic features extracted with the 3D Slicer software. After selecting the most informative of them, we tried certain ML methods to come up with the optimal model.

Language

English, Greek

Subject

Artificial intelligence

Issue date

2022-12-07

Collection

School/Department--School of Medicine--Department of Medicine--Post-graduate theses

Type of Work--Post-graduate theses

Views

315

Digital Documents
	MRI-based radiomics analysis of sacroiliitis No permission to view document. It won't be available until: 2025-12-07
	Detecting sacroiliitis with the use MRI-based radiomics and machine learning No permission to view document. It won't be available until: 2025-12-07

Digital Documents

MRI-based radiomics analysis of sacroiliitis

No permission to view document.
It won't be available until: 2025-12-07

Detecting sacroiliitis with the use MRI-based radiomics and machine learning

No permission to view document.
It won't be available until: 2025-12-07