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Background: Vertebral osteomyelitis (VO) is an infection of the spine with increasing prevalence due to improved diagnostics and aging populations. Multiple pathogens, including , spp., and pyogenic bacteria, can cause VO, making differential diagnosis complex, especially in regions with endemic brucellosis and tuberculosis.

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Clinical and epidemiological aspects of spondylodiscitis in a tertiary care hospital in South India.

Infez Med

December 2024

Department of Orthopedics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.

This study aims to bridge the informational gap regarding the clinical and epidemiological aspects of spondylodiscitis in India, addressing the dearth of substantial evidence in this domain. This study was conducted in a tertiary care hospital over three years, involving 145 adult patients diagnosed with spondylodiscitis. Among them, 28 (19.

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Background: Tuberculous spondylitis (TS) and brucellar spondylitis (BS) both cause major long-term morbidity and disability. Though Spondylodiscitis is sensitive to magnetic resonance images, some are difficult to differentiate. This study aims to identify specific bone changes on computed tomography (CT) images, further to differentiate TS from BS.

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Differentiation of tuberculous and brucellar spondylitis using conventional MRI-based deep learning algorithms.

Eur J Radiol

September 2024

Department of Radiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong, China; Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China. Electronic address:

Purpose: To investigate the feasibility of deep learning (DL) based on conventional MRI to differentiate tuberculous spondylitis (TS) from brucellar spondylitis (BS).

Methods: A total of 383 patients with TS (n = 182) or BS (n = 201) were enrolled from April 2013 to May 2023 and randomly divided into training (n = 307) and validation (n = 76) sets. Sagittal T1WI, T2WI, and fat-suppressed (FS) T2WI images were used to construct single-sequence DL models and combined models based on VGG19, VGG16, ResNet18, and DenseNet121 network.

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A comparative perspective on brucellar, pyogenic, and tuberculous spondylodiscitis.

Eur Rev Med Pharmacol Sci

March 2024

Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Van Yuzuncu Yıl University, Van, Turkey.

Objective: Non-specific features of spondylodiscitis lead to a delay and challenge in the diagnosis/differential diagnosis/treatment processes, and thus, serious complications may arise. This study aims to compare brucellar, pyogenic, and tuberculous types of spondylodiscitis, considering their demographic, clinical, and laboratory differences. This may provide more rapid management and good outcomes.

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