Underserved areas call for long-distance US reads

Article

Physicians in remote or undeveloped communities can improve diagnostic imaging capabilities in their area by simply dialing the phone. If no landline phones are available, physicians can review sonographic images on a cell phone.

Physicians in remote or undeveloped communities can improve diagnostic imaging capabilities in their area by simply dialing the phone. If no landline phones are available, physicians can review sonographic images on a cell phone.

Veljko Popov, a Dartmouth-Hitchcock Medical School student, and Dr. Robert Harris, director of ultrasound, brought a portable ultrasound unit to the local hospital in Popov's home town of Zrenjanin, near Belgrade. They wanted to help with the backlog of people who needed medical attention. They soon realized that when they returned to the U.S., the ultrasound equipment left in Serbia would languish from disuse because of the lack of qualified personnel.

Harris and Popov let their fingers do the walking. They transmitted 50 thyroid, abdominal, pelvic, and transvaginal ultrasound scans to Dartmouth over ISDN lines at 30 to 60 KBps. They sent compressed and uncompressed images for comparison.

Although the transmission was slow, there was no discernable difference between compressed and uncompressed images in nearly two-thirds of the cases. Seventy percent of compressed files were ranked diagnostically adequate. The researchers presented these findings at the American Roentgen Ray Society meeting in May.

A poster at the American Institute of Ultrasound in Medicine meeting in June found that mobile phones outfitted with microcameras can broadcast ultrasound images. Dr. Michael Blaivas and colleagues at the Medical College of Georgia in Augusta compared high-resolution ultrasound images from thermal printouts with images recorded and transmitted using commercially available cell phone cameras.

They found an acceptable level of agreement for pathology and structure detection between phone and thermal printer images. They also found, however, a statistically significant increase in diagnostic confidence from hard-copy ultrasound images compared with phone images. The researchers concluded that ultrasound-scanning review via cell phone seems feasible and merits further investigation.

Recent Videos
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Related Content
© 2025 MJH Life Sciences

All rights reserved.