AIMC Topic: Tuberculosis, Lymph Node

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Assessing the performance of a point-of-need diagnostic algorithm in rapid detection of peripheral lymph node tuberculosis (Mobile-TB-Lab): a diagnostic evaluation study protocol.

BMJ open May 30, 2025
INTRODUCTION: Early and accurate diagnosis of tuberculosis (TB) is central to ensuring the proper treatment and curbing the transmission of the disease. Despite the significant burden, the diagnosis of peripheral lymph node(LN)TB, the most prevalent ...
Humans Algorithms Point-of-Care Systems Uganda Lymph Nodes Nucleic Acid Amplification Techniques Mycobacterium tuberculosis Bangladesh Tuberculosis, Lymph Node
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Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy.

BMC medicine Aug 26, 2022
BACKGROUND: Accurate diagnosis of unexplained cervical lymphadenopathy (CLA) using medical images heavily relies on the experience of radiologists, which is even worse for CLA patients in underdeveloped countries and regions, because of lack of exper...
Humans Retrospective Studies Deep Learning Lymphadenopathy Lymphoma Carcinoma Hyperplasia Tuberculosis, Lymph Node
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Initial experience of a deep learning application for the differentiation of Kikuchi-Fujimoto's disease from tuberculous lymphadenitis on neck CECT.

Scientific reports Aug 19, 2022
Neck contrast-enhanced CT (CECT) is a routine tool used to evaluate patients with cervical lymphadenopathy. This study aimed to evaluate the ability of convolutional neural networks (CNNs) to classify Kikuchi-Fujimoto's disease (KD) and cervical tube...
Humans Retrospective Studies Adult Male Deep Learning Lymphadenopathy Lymph Nodes Neck Chest Pain Tuberculosis, Lymph Node Histiocytic Necrotizing Lymphadenitis
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