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Thermal ablation effective long term in patients with thyroid cancer

AuntMinnie

Conversely, thermal ablation – radiofrequency ablation, microwave ablation, and laser ablation – are minimally invasive procedures guided by ultrasound that use extreme temperatures to destroy the tumors. Studies have shown favorable results of the procedures, yet to date, long-term outcomes have not been reported, the authors noted.

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Nomogram combines ultrasound features to assess thyroid nodules

AuntMinnie

A nomogram combining ultrasound features and TI-RADS parameters can differentiate between malignant and benign thyroid nodules, according to research published January 22 in Ultrasound in Medicine & Biology. The American College of Radiology (ACR) created TI-RADS based on gray-scale ultrasound features.

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AuntMinnie 2014: Health information exchange lowers repeat emergency imaging

AuntMinnie

Our top article in 2014 reported on the financial benefits of health information exchanges. The researchers retrospectively analyzed repeat imaging rates for CT, chest x-ray, and ultrasound in 37 emergency departments in California and Florida that have initiated HIE. of ultrasound cases), and 29,073 repeat chest x-rays (19.5%

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Ultrasound-based model performs well in predicting breast tumor status

AuntMinnie

An ultrasound-based deep learning radiomics nomogram (DLRN) model performed well in a study about predicting tumor status and lymph node metastasis in breast cancer patients post chemotherapy. They added to the literature, exploring the feasibility of an ultrasound-based fusion model combining the aforementioned features.

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Deep-learning algorithm improves liver fibrosis diagnosis

AuntMinnie

An algorithm combining the Fibrosis-4 Index (FIB-4) and an ultrasound deep-learning model could improve diagnostic accuracy and referral management for all-cause advanced liver fibrosis, a study published April 23 in Radiology found. Chen and colleagues constructed sequential clinical algorithms that include an ultrasound deep-learning model.

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CEM improves breast cancer detection rate over low-energy mammography

AuntMinnie

A team led by Joao Horvat, MD, from the Memorial Sloan Kettering Cancer Center in New York found that CEM depicted 90% of breast cancers compared with 10% on low-energy mammograms alone and 50% on low-energymammogramswith whole-breast ultrasound. Their study included data collected between 2014 and 2019 from 468 women with a median age of 54.

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Meet the Minnies 2024 finalists

AuntMinnie

Elliot Fishman, MD, Johns Hopkins Medicine The second finalist is Elliot Fishman, MD, a category for which he took the trophy in 2001, 2007, 2014, and 2017. Last year, he was awarded a grant through the American Roentgen Ray Society's (ARRS) clinician educator development program.