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Imaging Informatics

 

An analysis of nearly three million radiologic exams has confirmed prior research showing that physicians’ concentration tends to fall off toward the tail end of on-duty shifts. And yes, the diminishment in radiologists’ accuracy may be increased when they’re working especially long shifts and/or plowing through long worklists.

Free-text radiology reports can be automatically classified by convolutional neural networks (CNNs) powered by deep-learning algorithms with accuracy that’s equal to or better than that achieved by traditional—and more labor-intensive—natural language processing (NLP) methods.

Researchers in the radiology department at the University of California, San Francisco (UCSF)—led by of Sabrina Ronen, PhD, director of the Brain Research Interest Group (RIG) and professor in the department of radiology and biomedical imaging at UCSF—are in the process of developing new, non-invasive imaging biomarker indicators to address multiple types of cancer, according to a recent UCSF press release

Many radiologists use Twitter and LinkedIn for staying up on matters related to their work. A study published online Nov. 12 in the Journal of the American College of Radiology shows they’d do well to tap, for the same purposes, the social-media platform that’s commonly thought of as a purely personal online space.

A group of German researchers has developed a nuclear medicine test that can detect infections in kidney transplant tissue, according to a study published in Journal of Nuclear Medicine

 

Recent Headlines

Whole-body MRI useful in diagnosing breast cancer during pregnancy

As women diagnosed with breast cancer during pregnancy are presented with limited imaging options, a new study published in The Breast suggests whole-body MRI (WB-MRI) could potentially be the answer to staging concerns.

UC Irvine launches human brain research center

University of California, Irvine’s Campus Center for Neuroimaging recently opened a new research center, named FIBRE or Facility for Imaging & Brain Research, that aims to study the human brain.

MRI screening of survivors may boost detection of successive breast cancer

A study in Clinical Imaging aimed to determine the utility and rate of biopsy in women with a positive history of breast cancer using MRI as the screening method.

NIH researchers develop CT needle-guidance app for smartphones

Radiology researchers at the National Institutes of Health have created an app that uses a smartphone’s camera and gyroscope to optimize needle-insertion angle for planning and performing percutaneous CT-guided biopsies and ablations.

Tongue ultrasound shown effective for directing treatment of sleep apnea

Sufferers of obstructive sleep apnea (OSA) can be evaluated with ultrasound images of the tongue captured as the patient, awake, performs a simple breathing exercise.

New MRI contrasting agent detects small, aggressive cancers

A new study published in Nature Communications highlights a newly developed contrasting agent for MRI that detects breast cancer in its earliest stages and can distinguish between aggressive and non-aggressive cancers.

Study shows low malignancy rate for clustered microcysts in breast

A new study in the American Journal of Roentgenology aimed to study the malignancy rate of lesions in the breast, identified as clustered microcysts, a common find on breast ultrasound.

X-ray reads of long-dead Londoners relevant to healthcare today

Radiology has much to offer in establishing general levels of health or illness in populations of the past, and these insights can meaningfully inform modern-day medicine, according to researchers who examined the skeletons of more than 200 adults laid to rest during the 1700s and 1800s in the crypt of St. Bride’s Church in London.

Reduced breast compression during DBT produces same results as standard compression

A new study in the American Journal of Roentgenology found that a reduction in breast compression during digital breast tomosynthesis (DBT) will reduce pain for the patient and maintaining the integrity of the breast thickness and tissue coverage, while ensuring no clinically significant change in image quality.

AI detects Alzheimer’s-related brain changes 10 years before symptoms appear

A team of researchers have developed an algorithm that can spot structural changes in the brain related to Alzheimer’s on an MRI up to 10 years before symptoms appear.

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