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Diagnostic Imaging

 

Using a lean flank steak embedded with simulated anatomic obstacles, researchers have demonstrated the superiority of a steerable needle over a straight one in percutaneous CT-guided needle biopsy, according to a study published online April 26 in the Journal of Computer Assisted Tomography.

After training two deep-learning models to identify tuberculosis, researchers at Thomas Jefferson University in Philadelphia have gotten their human-free method to nail the disease with 96 percent accuracy, according to a study published online in Radiology.

Subpar quality in trauma CT images acquired in non-trauma care settings hampers accurate radiological interpretation, suggesting that other-than-imaging assessments are best until these patients are sent to trauma centers, according to a study published online April 18 in the Journal of Trauma and Acute Care Surgery.

Online crowdsourcing and patient-registry recruitment both work as avenues for soliciting input from patients on what aspects of their malady they’d like to see studied—at least when the malady is low back pain. 

While most sports concussions are diagnosed through an individual’s experience or an onsite MRI or CT scan, a new technique is offering a tool that is much more accessible for players.

 

Recent Headlines

Novel steerable needle better than the conventional kind in CT-guided biopsy

Using a lean flank steak embedded with simulated anatomic obstacles, researchers have demonstrated the superiority of a steerable needle over a straight one in percutaneous CT-guided needle biopsy, according to a study published online April 26 in the Journal of Computer Assisted Tomography.

AI identifies TB with high precision

After training two deep-learning models to identify tuberculosis, researchers at Thomas Jefferson University in Philadelphia have gotten their human-free method to nail the disease with 96 percent accuracy, according to a study published online in Radiology.

Trauma CT imaging at non-trauma centers often inadequate

Subpar quality in trauma CT images acquired in non-trauma care settings hampers accurate radiological interpretation, suggesting that other-than-imaging assessments are best until these patients are sent to trauma centers, according to a study published online April 18 in the Journal of Trauma and Acute Care Surgery.

Hand-held EEG device shows promise in diagnosing head injuries

In a new clinical trial, researchers found that imaging is not the only tool that can be used to diagnose head injury with accuracy. A hand-held electroencephalogram (EEG) device proved a viable method of diagnosing brain bleeding.

Back pain patients help refine research via crowdsourcing, registries

Online crowdsourcing and patient-registry recruitment both work as avenues for soliciting input from patients on what aspects of their malady they’d like to see studied—at least when the malady is low back pain. 

Man or machine? Robot proves effective in diagnosing sports concussions

While most sports concussions are diagnosed through an individual’s experience or an onsite MRI or CT scan, a new technique is offering a tool that is much more accessible for players.

Early childhood sleep problems show up on brain MRI by 7 years old

Echoing a University of Chicago study showing that children with sleep apnea are at risk for brain damage, researchers in the Netherlands have shown a link between childhood sleep disturbances and smaller gray matter volumes. 

Is SPECT imaging accurate in predicting nigral neurons in Parkinson's patients?

SPECT imaging of the brain is used for gathering information on dopamine activity when it comes to monitoring patients with Parkinson’s disease.

Fluid in the lungs being measured by a new technique using ultrasound

Medical researchers and engineers from North Carolina State University have found a new approach that uses ultrasound to measure fluid levels in the lungs.

Blood test able to detect lung cancer recurrence months before imaging

Results from a new prospective clinical trial showed that a blood test looking at specific biomarkers was able to detect lung cancer recurrence about six months before conventional imaging methods found recurrence.

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