ultrasound-measured-optic-nerve-sheath-diameter-predicts-cognitive

Ultrasound-Measured Optic Nerve Sheath Diameter Predicts Cognitive Dysfunction After Resuscitation: A Retrospective Study

Optic nerve sheath diameter (ONSD) measured by bedside ultrasonography has emerged as a promising non-invasive surrogate marker of intracranial pressure ...

The Third Hospital of Wuhan

Artificial intelligence (AI), especially deep learning, is gaining extensive attention for its excellent performance in medical image analysis. It can automatically make a quantitative assessment of complex medical images and help doctors to make more accurate diagnoses. In recent years, AI based on ultrasound has been shown to be very helpful in diffuse liver diseases and focal liver lesions, such as analyzing the severity of nonalcoholic fatty liver and the stage of liver fibrosis, identifying benign and malignant liver lesions, predicting the microvascular invasion of hepatocellular carcinoma, curative transarterial chemoembolization effect, and prognoses after thermal ablation. Moreover, AI based on endoscopic ultrasonography has been applied in some gastrointestinal diseases, such as distinguishing gastric mesenchymal tumors, detection of pancreatic cancer and intraductal papillary mucinous neoplasms, and predicting the preoperative tumor deposits in rectal cancer. This review focused on the basic technical knowledge about AI and the clinical application of AI in ultrasound of liver and gastroenterology diseases. Lastly, we discuss the challenges and future perspectives of AI.

Ultrasound-based artificial intelligence in gastroenterology and hepatology.

We mainly aimed to perform a narrative review of clinical applications of the three intracavitary contrast-enhanced ultrasonography (CEUS) including contrast-enhanced voiding urosonography (ceVUS), contrast-enhanced retrograde urethrosonography (ceRUG), and contrast-enhanced genitosonography (ceGS) in pediatric lower genitourinary anomalies.

A narrative review on the applications of intracavitary contrast-enhanced ultrasonography in pediatric lower genitourinary anomalies.

Regular check-up with ultrasound in underserved rural and/or remote areas is hampered due to the limited availability of sonologists and ultrasound devices. This study aimed to assess the feasibility and satisfaction of health check-ups with a 5G-based robotic teleultrasound diagnostic system.

The feasibility and satisfaction study of 5G-based robotic teleultrasound diagnostic system in health check-ups.

American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS, TR) 4 and 5 thyroid nodules (TNs) demonstrate much more complicated and overlapping risk characteristics than TR1-3 and have a rather wide range of malignancy possibilities (> 5%), which may cause overdiagnosis or misdiagnosis. This study was designed to establish and validate a dual-modal ultrasound (US) radiomics nomogram integrating B-mode ultrasound (BMUS) and contrast-enhanced ultrasound (CEUS) imaging to improve differential diagnostic accuracy and reduce unnecessary fine needle aspiration biopsy (FNAB) rates in TR 4-5 TNs.

Dual-modal radiomics nomogram based on contrast-enhanced ultrasound to improve differential diagnostic accuracy and reduce unnecessary biopsy rate in ACR TI-RADS 4-5 thyroid nodules.

Kidney disease is a serious public health problem and various kidney diseases could progress to end-stage renal disease. The many complications of end-stage renal disease. have a significant impact on the physical and mental health of patients. Ultrasound can be the test of choice for evaluating the kidney and perirenal tissue as it is real-time, available and non-radioactive. To overcome substantial interobserver variability in renal ultrasound interpretation, artificial intelligence (AI) has the potential to be a new method to help radiologists make clinical decisions. This review introduces the applications of AI in renal ultrasound, including automatic segmentation of the kidney, measurement of the renal volume, prediction of the kidney function, diagnosis of the kidney diseases. The advantages and disadvantages of the applications will also be presented clinicians to conduct research. Additionally, the challenges and future perspectives of AI are discussed.

A narrative review on the application of artificial intelligence in renal ultrasound.

Intrahepatic cholangiocarcinoma (ICC) with obstructive jaundice presents a therapeutic challenge, as most patients are ineligible for surgery. While FOLFOX chemotherapy offers limited survival benefits, drug-eluting bead transarterial chemoembolization (DEB-TACE) combined with percutaneous transhepatic cholangial drainage (PTCD) may improve outcomes by addressing both tumor burden and biliary obstruction.

Outcome of adding percutaneous transhepatic cholangial drainage to DEB-TACE in patients with unresectable cholangiocarcinoma with obstructive jaundice: comparison with sole DEB-TACE.

Article	Year
Ultrasound-based artificial intelligence in gastroenterology and hepatology. World journal of gastroenterology\| PubMed ID: 36304086	2022
A narrative review on the applications of intracavitary contrast-enhanced ultrasonography in pediatric lower genitourinary anomalies. Frontiers in pediatrics\| PubMed ID: 37274817	2023
The feasibility and satisfaction study of 5G-based robotic teleultrasound diagnostic system in health check-ups. Frontiers in public health\| PubMed ID: 37497023	2023
Dual-modal radiomics nomogram based on contrast-enhanced ultrasound to improve differential diagnostic accuracy and reduce unnecessary biopsy rate in ACR TI-RADS 4-5 thyroid nodules. Cancer imaging : the official publication of the International Cancer Imaging Society\| PubMed ID: 38263209	2024
A narrative review on the application of artificial intelligence in renal ultrasound. Frontiers in oncology\| PubMed ID: 38495082	2023
Outcome of adding percutaneous transhepatic cholangial drainage to DEB-TACE in patients with unresectable cholangiocarcinoma with obstructive jaundice: comparison with sole DEB-TACE. Therapeutic advances in gastroenterology\| PubMed ID: 40860933	2025

Yuexiang Peng

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