Dr. Christopher Austin

IS
3 questions to shape the future of AI and radiology
The introduction of disruptive healthcare technologies rarely threatens the role of the clinician -- but radiology is fast becoming the exception. In this column, Dr. Christopher Austin of GE Healthcare suggests three questions that radiologists should ask themselves if they want to lead and not follow the changes that are coming.
November 15, 2016
2016 11 14 12 36 15 302 Austin Christopher 400
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Ultrasound
Could cranial ultrasound sub for brain MRI in imaging infants?
Cranial ultrasound could have utility for imaging infants with hypoxic-ischemic encephalopathy.
Lateral conventional attenuation (a, b, e, f) and co-registered dark-field (c, d, g, h) images of two spine specimens. Vertical (a, c, e, g) and horizontal (b, d, f, h) scans of the spine specimen of a 77-year-old female with osteoporosis (bone mineral density = 65.75 mg/dL) (a–d) and a non-osteoporotic spine specimen (e–h) of a 61-year-old female (bone mineral density = 169.38 mg/dL).
Digital X-Ray
Dark-field x-ray detects bone changes related to osteoporosis
Cars Picanya
MRI
Radiology responds to devastating floods in Spain
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CT
Tributes pour in for CT pioneer Willi Kalender
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Could cranial ultrasound sub for brain MRI in imaging infants?
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Baby Bottle
Dark-field x-ray detects bone changes related to osteoporosis
By Will Morton
Dark-field x-ray imaging can provide insights into bone microstructure and potentially could have a role in assessing osteoporosis.
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Lateral conventional attenuation (a, b, e, f) and co-registered dark-field (c, d, g, h) images of two spine specimens. Vertical (a, c, e, g) and horizontal (b, d, f, h) scans of the spine specimen of a 77-year-old female with osteoporosis (bone mineral density = 65.75 mg/dL) (a–d) and a non-osteoporotic spine specimen (e–h) of a 61-year-old female (bone mineral density = 169.38 mg/dL).
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Some nonmass breast lesion characteristics on ultrasound exams can be considered suspicious for malignancy at screening ultrasound.
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Images depict a 43-year-old woman with a malignant non-mass lesion that was diagnosed as microinvasive ductal carcinoma. (A) Transverse and (B) longitudinal ultrasound images show a hypoechoic non-mass lesion (solid arrows) with segmental distribution in the left breast. The lesion has associated calcifications (dashed arrows in A). (C) Longitudinal color Doppler ultrasound image shows high vascularity. (D) Magnified image in the mediolateral oblique view from screening mammography shows grouped calcifications (arrows), which are considered a mammographic correlate of the ultrasound-detected non-mass lesion (A radiopaque marker attached to the skin is visible in the image because the mammographic exam was performed after screening breast ultrasound). Ultrasound-guided core needle biopsy and pathologic examination revealed ductal carcinoma in situ, but the lesion was upgraded to microinvasive ductal carcinoma at subsequent surgery (2.5-cm ductal carcinoma in situ, histologic grade II, estrogen receptor-positive, progesterone receptor-positive, human epidermal growth factor receptor type 2-negative).
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ChatGPT demonstrates mixed results in assigning BI-RADS categories
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ChatGPT achieves modest accuracy when assigning BI-RADS scores for mammograms and breast ultrasound exams.
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Chat Gpt 400
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