Dataset Information

Current status of ultrasonography of the finger.

ABSTRACT: The recent development of advanced high-resolution transducers has enabled the fast, easy, and dynamic ultrasonographic evaluation of small, superficial structures such as the finger. In order to best exploit these advances, it is important to understand the normal anatomy and the basic pathologies of the finger, as exemplified by the following conditions involving the dorsal, volar, and lateral sections of the finger: sagittal band injuries, mallet finger, and Boutonnière deformity (dorsal aspect); flexor tendon tears, trigger finger, and volar plate injuries (volar aspect); gamekeeper's thumb (Stener lesions) and other collateral ligament tears (lateral aspect); and other lesions. This review provides a basis for understanding the ultrasonography of the finger and will therefore be useful for radiologists.

SUBMITTER: Lee SA

PROVIDER: S-EPMC4825212 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Current status of ultrasonography of the finger.

Lee Seun Ah SA Kim Baek Hyun BH Kim Seon-Jeong SJ Kim Ji Na JN Park Sun-Young SY Choi Kyunghee K

Ultrasonography (Seoul, Korea) 20151124 2

The recent development of advanced high-resolution transducers has enabled the fast, easy, and dynamic ultrasonographic evaluation of small, superficial structures such as the finger. In order to best exploit these advances, it is important to understand the normal anatomy and the basic pathologies of the finger, as exemplified by the following conditions involving the dorsal, volar, and lateral sections of the finger: sagittal band injuries, mallet finger, and Boutonnière deformity (dorsal aspe ...[more]

PMID: 26753604

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Project description:BackgroundUltrasound (US) is the first-line imaging method for gallbladder diseases (GBDs), with advantages of easy accessibility, real-time dynamic imaging, and no radiation. However, using only visual judgment from US images to stratify the risk of gallbladder (GB) lesions is challenging. In addition, the diagnostic ability of sonographers is highly correlated with their knowledge reserves, clinical experience, and proficiency in operation. Recently, the application of artificial intelligence (AI) in medical image recognition has attracted widespread attention. This review aims to provide a comprehensive summary and analysis of the application of US-based AI technology in various GBDs. In addition, the diagnostic ability of US-based AI technology in GBDs based on the findings of published articles was evaluated.MethodsWe searched the PubMed and Wiley databases using predefined keywords for articles published over the past two decades (from January 2003 to December 2023) to evaluate research progress in this field. Articles were screened for relevant publications about US-based AI applications in GBDs. Then, we conducted a comprehensive summary and analysis of the application of US-based AI technology in various GBDs and evaluated its diagnostic performance.ResultsFollowing PRISMA-ScR guidelines, 16 studies were included in this review. These studies involve a relatively narrow spectrum of GBDs, including GB polyps, gallbladder cancer (GBC), GB stones, and biliary atresia (BA). The most widely used applications of AI in GBDs are GB polyps and GBC. AI has achieved satisfactory sensitivity, specificity, or accuracy in the differential diagnosis of GB polypoid lesions. AI has certain application value in the GB stone measurement and auxiliary diagnosis of GBC and BA.ConclusionsThe current status, limitations, and future perspectives of AI-assisted ultrasonography in GBDs were reported. In the near future, the AI has the potential to become a breakthrough in the diagnosis of GBDs, supporting doctors in improving the diagnostic ability of GBDs with ultrasonography.

Dataset Information

Current status of ultrasonography of the finger.

Publications

Current status of ultrasonography of the finger.

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