Artificial intelligence in skeletal metastasis imaging

Dong, Xiying; Chen, Guilin; Zhu, Yuanpeng; Ma, Boyuan; Ban, Xiaojuan; Wu, Nan; Ming, Yue

doi:10.1016/j.csbj.2023.11.007

Cited by 3 publications

(1 citation statement)

References 56 publications

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“…Integrating artificial intelligence (AI) in imaging for the diagnosis of bone metastasis signifies a revolutionary leap forward, harnessing deep learning algorithms to enhance sensitivity and specificity in identifying osseous metastases across various imaging modalities like WBS, CT, MRI, and PET/CT [ 195 ]. AI’s ability to analyze medical images, detect subtle changes in bone tissue texture, and segment lesions advances the precision of diagnosis and treatment planning.…”

Section: Future Directions In Bone Metastasis Research and Treatmentmentioning

confidence: 99%

Bridging the Gap in Understanding Bone Metastasis: A Multifaceted Perspective

Elaasser,

Arakil,

Mohammad

2024

IJMS

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The treatment of patients with advanced cancer poses clinical problems due to the complications that arise as the disease progresses. Bone metastases are a common problem that cancer patients may face, and currently, there are no effective drugs to treat these individuals. Prostate, breast, and lung cancers often spread to the bone, causing significant and disabling health conditions. The bone is a highly active and dynamic tissue and is considered a favorable environment for the growth of cancer. The role of osteoblasts and osteoclasts in the process of bone remodeling and the way in which their interactions change during the progression of metastasis is critical to understanding the pathophysiology of this disease. These interactions create a self-perpetuating loop that stimulates the growth of metastatic cells in the bone. The metabolic reprogramming of both cancer cells and cells in the bone microenvironment has serious implications for the development and progression of metastasis. Insight into the process of bone remodeling and the systemic elements that regulate this process, as well as the cellular changes that occur during the progression of bone metastases, is critical to the discovery of a cure for this disease. It is crucial to explore different therapeutic options that focus specifically on malignancy in the bone microenvironment in order to effectively treat this disease. This review will focus on the bone remodeling process and the effects of metabolic disorders as well as systemic factors like hormones and cytokines on the development of bone metastases. We will also examine the various therapeutic alternatives available today and the upcoming advances in novel treatments.

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Section: Future Directions In Bone Metastasis Research and Treatmentmentioning

confidence: 99%

Bridging the Gap in Understanding Bone Metastasis: A Multifaceted Perspective

Elaasser,

Arakil,

Mohammad

2024

IJMS

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Orthopädie und Unfallchirurgie im digitalen Zeitalter

Kuhn,

Knitza

2024

Orthopädie

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ChatGPT-4.0: A Promising Tool for Diagnosing Thyroid Nodules

Lyu,

Hong,

Huang

et al. 2024

Preprint

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Objective This study aims to explore the application value of ChatGPT-4.0 in the ultrasonic image analysis of thyroid nodules, comparing its diagnostic efficacy and consistency with that of sonographers. Methods This is a prospective study based on real clinical scenarios. The study included 124 patients with thyroid nodules confirmed by pathology who underwent ultrasound examinations at Fujian Medical University Affiliated Second Hospital. A physician not involved in the study collected ultrasound images of the thyroid nodules, capturing three images for each nodule—the maximum cross-sectional, maximum longitudinal, and the section best representing the nodular characteristics—for ChatGPT-4.0 image analysis, classified according to the 2020 China Thyroid Nodule Malignancy Risk Stratification Guide (C-TIRADS). Two sonographers with different qualifications (a resident and an attending physician) independently performed the ultrasound examinations, also classifying the thyroid nodules according to the C-TIRADS guidelines. Using fine needle aspiration (FNA) biopsy or surgical pathology results as the gold standard, the consistency and diagnostic efficacy of ChatGPT-4.0 were compared with those of the sonographers. Results (1) ChatGPT-4.0 diagnosed thyroid nodules with a sensitivity of 86.2%, specificity of 60.0%, and AUC of 0.731, comparable to the resident's sensitivity of 85.1%, specificity of 66.7%, and AUC of 0.759 (p > 0.05), but lower than the attending physician's sensitivity of 97.9% and AUC of 0.889 (p < 0.05). (2) ChatGPT-4.0 showed good consistency with the resident in thyroid nodule classification (Kappa value = 0.729), but its consistency with pathological diagnosis was lower than that between the attending physician and the pathological diagnosis (Kappa values of 0.457 vs 0.816 respectively). Conclusion ChatGPT-4.0 has a certain clinical application value in the risk stratification diagnosis of thyroid nodules, comparable to the level of diagnosis by resident physicians.

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Artificial intelligence in skeletal metastasis imaging

Cited by 3 publications

References 56 publications

Bridging the Gap in Understanding Bone Metastasis: A Multifaceted Perspective

Bridging the Gap in Understanding Bone Metastasis: A Multifaceted Perspective

Orthopädie und Unfallchirurgie im digitalen Zeitalter

ChatGPT-4.0: A Promising Tool for Diagnosing Thyroid Nodules

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