Dr. Jesse Courtier

Advanced Visualization
How augmented reality can transform medical imaging
Moving from lightboxes and x-ray film to 3D holographic images of patient anatomy, radiology has experienced incredible technological advances in recent years. And there's more to come: Pediatric radiologist Dr. Jesse Courtier believes the specialty is on the cusp of yet another exponential transformation.
October 11, 2017
2017 10 11 23 27 0877 Augmented Radiology 1 20171011232513
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Top Stories
Ergonomics
Practice Management
Musculoskeletal strain affects majority of radiologists
Musculoskeletal strain represents the single largest category of workplace injury in radiology.
Example radiographs with different labels for 'pulmonary congestion,' 'pleural effusion,' 'pulmonary opacities,' and 'atelectasis.'
Digital X-Ray
New x-ray dataset helps clinicians develop pathology detection AI
Liver
Clinical News
LI-RADS CT/MRI liver malignancy features show high interreader agreement
Contrast-enhanced T1 weSPGR images of the knee of a patient from the GAE group at the level of the suprapatellar recess. The baseline image (left) shows a marked synovial enhancement. There was no change one month after treatment (middle image) and four months after treatment (right image).
Interventional
GAE benefits may just be ‘placebo effect’
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Musculoskeletal strain affects majority of radiologists
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ICUs rely heavily on bedside chest x-ray to monitor patients, and the dataset could offer support for radiologic assessment.
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Example radiographs with different labels for 'pulmonary congestion,' 'pleural effusion,' 'pulmonary opacities,' and 'atelectasis.'
LI-RADS CT/MRI liver malignancy features show high interreader agreement
By Kate Madden Yee
The results could have implications for how LI-RADS CT/MRI (v2018) should be applied in clinical liver imaging practice.
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GAE benefits may just be ‘placebo effect’
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Patients who received either genicular artery embolization (GAE) or a sham procedure experienced equal pain improvements.
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Contrast-enhanced T1 weSPGR images of the knee of a patient from the GAE group at the level of the suprapatellar recess. The baseline image (left) shows a marked synovial enhancement. There was no change one month after treatment (middle image) and four months after treatment (right image).
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CT imaging helped diagnose a large fecaloma and track a patient's response to a Coca-Cola enema to dissolve it.
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Ultrasound O-RADS categorizes borderline ovarian tumors
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Ultrasound deems most borderline ovarian tumors to be O-RADS category 4 or 5, with most tumors being serous.
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AI plus CCTA cuts plaque analysis time, predicts cardiac event risk
By Kate Madden Yee
A deep-learning model quantifies coronary plaque volume from coronary CT angiography (CCTA) images.
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Two representative cases demonstrate the performance of PlaqueSegNet for coronary plaque segmentation. (A–D) Coronary CT angiography (CCTA) and intravascular US (IVUS) images in a 65-year-old male patient with chest pain for two months show plaque. (A) Cross-sectional IVUS image shows a lipid-rich plaque (hypoechoic, arrows). (B) Axial and (C) cross-sectional CCTA images show the same plaque (low-attenuation area, yellow line and arrows) in the proximal left anterior descending artery. (D) PlaqueSegNet segmentation of the noncalcified plaque (yellow shading) and coronary lumen (green shading) in the cross-sectional image. (E–G) CCTA images in a 57-year old female patient with chest pain for three months show multiple plaques. (E) Volume-rendered CCTA image of the coronary tree shows PlaqueSegNet plaque segmentation (yellow) in the right and left coronary arteries. (F, G) PlaqueSegNet segmentation delineates a mixed plaque (yellow shading) and coronary lumen (green shading) in the left main artery and proximal-to-mid left anterior descending artery.
DBT availability similar in areas with high, low resource deprivation
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DBT is offered at similar rates among areas with high and low resource deprivation, and at similar costs.
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FAPI-PET superior to FDG-PET in liver cancer
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The finding is from a prospective head-to-head comparison among 59 patients with suspicious lesions.
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A 65-y-old man with HCC and liver cirrhosis confirmed by MRI. Ga-68 FAPI-46 PET/CT demonstrates increased focal uptake (SUVmax, 13.26, and TBRmax, 2.89) in liver, whereas F-18 FDG-PET/CT scans showed non–F-18 FDG-avid lesion (SUVmax, 3.24, and TBRmax, 1.43), indicated by solid arrows. Additionally, histologically proven adenocarcinoma in colon transversum was identified as pathologic with Ga-68 FAPI-46 alone (dashed arrows).
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