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Purpose: The purpose of the study was to develop a predictive model for vertebral compression fracture (VCF) prior to spinal stereotactic body radiation therapy (SBRT) using radiomics features extracted from pre-treatment planning CT images. Methods: A retrospective analysis was conducted on 85 patients (114 spinal lesions) who underwent spinal SBRT. Radiomics features were extracted from pre-treatment planning CT images and used to develop a predictive model using a classification algorithm selected from nine different machine learning algorithms. Four different models were trained, including clinical features only, clinical and radiomics features, radiomics and dosimetric features, and all features. Model performance was evaluated using accuracy, precision, recall, F1-score, and area under the curve (AUC). Results: The model that used all features (radiomics, clinical, and dosimetric) showed the highest performance with an AUC of 0.871. The radiomics and dosimetric features model had the superior performance in terms of accuracy, precision, recall, and F1-score. Conclusion: The developed predictive model based on radiomics features extracted from pre-treatment planning CT images can accurately predict the likelihood of VCF prior to spinal SBRT. This model has significant implications for treatment planning and preventive measures for patients undergoing spinal SBRT. Future research can focus on improving model performance by incorporating new data and external validation using independent data sets. [ABSTRACT FROM AUTHOR]

While radiofrequency ablation was the first modality to be applied, cryoablation has progressively taken over, given its advantages. Whatever the situation, thermal ablation in the MSK system carries a risk of unintended thermal injury to neural structures that cannot be treated. [Extracted from the article]

Maintenance of genome integrity is essential for all organisms because genome information regulates cell proliferation, growth arrest, and vital metabolic processes in cells, tissues, organs, and organisms. Because genomes are constantly exposed to intrinsic and extrinsic genotoxic stress, cellular DNA repair machinery and proper DNA damage responses (DDR) have evolved to quickly eliminate genotoxic DNA lesions, thus maintaining the genome integrity suitably. In human, germline mutations in genes involved not only in cellular DNA repair pathways but also in cellular DDR machinery frequently predispose hereditary diseases associated with chromosome aberrations. These genetic syndromes typically displaying mutations in DNA repair/DDR-related genes are often called “genome instability syndromes.” Common features of these hereditary syndromes include a high incidence of cancers and developmental abnormalities including short stature, microcephaly, and/or neurological deficiencies. However, precisely how impaired DNA repair and/or dysfunctional DDR pathologically promote(s) these syndromes are poorly understood. In this review article, we summarize the clinical symptoms of several representatives “genome instability syndromes” and propose the plausible pathogenesis thereof. [ABSTRACT FROM AUTHOR]