We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Ultrasound Accurately Diagnoses Tendon Injuries

By MedImaging International staff writers
Posted on 25 May 2021
Print article
Image: Ultrasound can precisely identify tendon tears in the hand (Photo courtesy of Shutterstock)
Image: Ultrasound can precisely identify tendon tears in the hand (Photo courtesy of Shutterstock)
Ultrasound can accurately diagnose flexor tendon hand injuries while also being a fast, inexpensive, and potentially indispensable dynamic tool, claims a new study.

Researchers at Ain Shams University (ASU; Cairo, Egypt) conducted a cross-sectional prospective study that included 35 patients (18-58 years of age, 24 male) presenting at ASU between September 2018 and January 2020 with penetrating trauma to the volar aspect of the hand or wrist with questionable clinical findings, and were therefor candidates for exploratory surgery. All underwent pre-operative ultrasound to guide their management, with ultrasound results compared with the operative findings as the gold standard test.

On ultrasound examination, 21 of the 50 injured tendons identifies were reported to have complete tears, and 10 tendons were partially torn. The most common cause of injury was cut wounds by sharp objects (20 cases), with injury by a knife as the highest incidence. The results showed that sonographic examination had 100% accuracy, sensitivity, and specificity, in diagnosing full-thickness tears as well as tenosynovitis of hand flexor tendons. The study was published on April 29, 20201, in Ultrasound in Medicine and Biology.

“Ultrasound provides data on the extent of injury that effectively helps both set up an appropriate operative plan and predict the patient's functional outcome post-operatively, which in turn will have a direct impact on the patient's rehabilitation plan and lifestyle,” concluded lead author Chris Nabil Hanna Bekhet, MD, of the radiodiagnosis department, and colleagues. “Our study also helps anchor the notion that musculoskeletal ultrasound could be widely employed for soft tissue structures, with their well-recognized advantages compared with other imaging techniques.”

Hand and wrist injuries make up 28% of all musculoskeletal injuries and account for 14-30% of all patients treated in the emergency department. Tendon injuries are the second most common of these injuries, with injury to flexor tendons having debilitating consequences and high rates of reoperation. Assessing hand injuries through clinical examination can overlook these tendon injuries, and surgeons sometimes opt for explorative surgical methods to detect them.

Related Links:
Ain Shams University

New
Gold Supplier
IMRT Thorax Phantom
CIRS Model 002LFC
Gold Supplier
128 Slice CT Scanner
Supria 128
New
Interventional Robot
ANT-X
New
Cart-Based Ultrasound System
SonoMax 9

Print article
Sun Nuclear -    Mirion

Channels

Radiography

view channel
Image: The AI model improves tumor removal accuracy during breast cancer surgery (Photo courtesy of UNC School of Medicine)

AI Model Analyzes Tumors Removed Surgically in Real-Time

During breast cancer surgery, the surgeon removes the tumor, also known as a specimen, along with a bit of the adjacent healthy tissue to ensure all cancerous cells are excised. This specimen is then X-rayed... Read more

MRI

view channel
Image: MRI screen-detected breast cancers have been found to be most often invasive cancers (Photo courtesy of 123RF)

MRI Screen-Detected Breast Cancers Are Mostly Invasive

Annual breast MRI screening is advised for patients with a lifetime breast cancer risk exceeding 20%. There exists robust data about the features of mammographic screen-detected breast cancers, although... Read more

Nuclear Medicine

view channel
Image: An AI model can evaluate brain tumors on PET (Photo courtesy of Freepik)

AI Model for PET Imaging Determines Patient Response to Brain Tumor Treatments

The assessment of changes in metabolic tumor volume (MTV) through PET scans using specific radiotracers like F-18 fluoroethyl tyrosine (FET) plays a vital role in evaluating the treatment response in patients... Read more

General/Advanced Imaging

view channel
Image: Annalise Enterprise CTB acts like a ‘second pair of eyes’ for radiologists (Photo courtesy of Annalise.ai)

Deep Learning System Boosts Radiologist Accuracy and Speed for Head CTs

Non-contrast computed tomography of the brain (NCCTB) is a commonly employed method for identifying intracranial pathology. Despite its frequent use, the complex scan outcomes are prone to being misunderstood.... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.