Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges
arxiv(2024)
摘要
In recent years, Artificial Intelligence (AI) has been widely used in
medicine, particularly in the analysis of medical imaging, which has been
driven by advances in computer vision and deep learning methods. This is
particularly important in overcoming the challenges posed by diseases such as
Bone Metastases (BM), a common and complex malignancy of the bones. Indeed,
there have been an increasing interest in developing Machine Learning (ML)
techniques into oncologic imaging for BM analysis. In order to provide a
comprehensive overview of the current state-of-the-art and advancements for BM
analysis using artificial intelligence, this review is conducted with the
accordance with PRISMA guidelines. Firstly, this review highlights the clinical
and oncologic perspectives of BM and the used medical imaging modalities, with
discussing their advantages and limitations. Then the review focuses on modern
approaches with considering the main BM analysis tasks, which includes:
classification, detection and segmentation. The results analysis show that ML
technologies can achieve promising performance for BM analysis and have
significant potential to improve clinician efficiency and cope with time and
cost limitations. Furthermore, there are requirements for further research to
validate the clinical performance of ML tools and facilitate their integration
into routine clinical practice.
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