VS Hospitals introduces digital mammography system for breast cancer detection
The system uses a 50-micron detector to capture detailed images of breast tissue, helping radiologists examine tiny microcalcifications that may be associated with early breast abnormalities
VS Hospitals has unveiled a new 2D digital mammography system, the AMULET SOPHINITY, to enhance breast cancer screening and diagnosis. This system, developed by Fujifilm, employs a high-resolution detector with 50-micron pixels to capture intricate details of breast tissue, including microscopic calcifications that may signal early breast abnormalities.
Mammography, a screening technique utilizing low-dose X-rays, can reveal anomalies not apparent through manual examination. The AMULET SOPHINITY system boasts intelligent exposure control, dynamically adjusting X-ray intensity based on breast structure while preserving image quality. Additionally, AI-based positioning support aids in precise placement and consistent imaging.
The device can generate standard images in about five seconds and high-resolution images in roughly 12 seconds. Other features include flexible positioning, intelligent breast compression, and automatic decompression to minimize patient discomfort. At the system's launch, S. Subramanian, Chairman and Managing Director of V.S. Hospitals, emphasized the importance of early detection in breast cancer care, highlighting mammography's crucial role in identifying breast anomalies.
The hospital plans to provide free mammography screenings to underprivileged individuals throughout November 2026. Interested individuals can register for the screenings by contacting the hospital at 7448850500. For more information, please refer to the terms and conditions. Comments are welcome in English, as full sentences, and must adhere to the community guidelines, avoiding abusive or personal remarks.
Written by urgent.news from The Hindu Health's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
