Roll Up Your Sleeves Radiology

Jul 25th, 2014
San Antonio, TX
US
https://store.aheconline.com/index.php?route=product/product&path=59&product_id=1329
This new diagnostic course invites you to roll up your sleeves and venture through the imaging world you work in!
Latest in Home
Minnie Cast Thumbnail (4) (1)
Women's Imaging MinnieCast, Episode 8: New NCCN guidance on AI and breast cancer risk
May 8, 2026
Ai Face
LLMs excel at scoliosis detection on spine x-rays
May 7, 2026
Radiology is Under Pressure
Sponsored
Radiology is Under Pressure
May 2, 2026
Welder 1
Welding fumes linked to distinct lung CT changes, function
May 7, 2026
More in Home
Women's Imaging MinnieCast, Episode 8: New NCCN guidance on AI and breast cancer risk
By Amerigo Allegretto
Bethany Niell, MD, PhD, talks new guidance on breast cancer screening by the NCCN, which includes image-based AI risk assessment.
May 8, 2026
Minnie Cast Thumbnail (4) (1)
LLMs excel at scoliosis detection on spine x-rays
By Will Morton
For scoliosis detection, Grok 4 led with 94.2% accuracy.
May 7, 2026
Ai Face
Expanding opportunities for interventional radiology practice
By Sandy Coffta
In a new column, Sandy Coffta of Healthcare Administrative Partners describes the benefits of providing IR services in an ASC or OBL setting.
May 7, 2026
Coffta Sandy Thumbnail
Welding fumes linked to distinct lung CT changes, function
By Kate Madden Yee
Diagnosing welder's pneumoconiosis via imaging is challenging and often underestimated due to the high smoking rates among welders.
May 7, 2026
Welder 1
PSMA-PET linked to higher use of systemic therapies
By Will Morton
ARPI therapy was initiated in 15.6% of PSMA-PET patients versus 7.7% of bone scan patients.
May 7, 2026
Psma Pet
POCUS assistance leads to no improvements in NICU lumbar punctures
By Amerigo Allegretto
Ultrasound assistance does not lead to improvements in first-attempt non-traumatic lumbar puncture success for NICU patients.
May 7, 2026
Ultrasound Portable 400 (1)
Imaging fellow tries vibe coding to solve radiology challenges
By Liz Carey
Vibe coding outside the radiology department led to exploring real-world use cases.
May 6, 2026
Kaustav Bera, MD, discussed the rise of the radiologist-developer with AuntMinnie. In June, Bera will complete an abdominal imaging fellowship at Case Western Reserve University and plans to continue as an abdominal imager at Case Western.
ISMRM annual meeting in Cape Town to highlight South African 'Ubuntu'
By Kate Madden Yee
A term helps define ISMRM's goal of building stronger, more interconnected community.
May 6, 2026
Mark Griswold, PhD
Radiation segmentectomy can be optimized before liver transplant
By Will Morton
As of 2023, yttrium 90 (Y-90) radioembolization has become the most frequently used local-regional therapy in the U.S. for bridging patients with HCC to liver transplant.
May 5, 2026
Illustrations show the role of angiosome-to-tumor volume ratio (ATR) in different clinical scenarios based on tumor and treatment angiosome volume. The pale orange oval represents the tumor within the liver, and the pie-shaped region encompassed by the black lines represents the angiosome. (A) An adequate ATR (≥16) is reached when treating tumor and an accompanying appropriate volume of expendable surrounding normal parenchyma, such as a 2.5-cm tumor within a 150-mL treatment angiosome. Lower (inadequate) ATR can occur with superselective administrations, such as (B) attempting to treat a larger (4-cm) tumor within the same 150-mL angiosome, which proves suboptimal, and (C) attempting to treat the same 2.5-cm tumor within a reduced angiosome (40 mL).
Cardiac devices affect mammography image quality
By Amerigo Allegretto
Cardiac implantable electronic devices may have a negative impact on mammography image quality and lead to repeat imaging.
May 5, 2026
Pacemaker Heart 400
MRI reveals how hidden muscle fat increases risk to heart, metabolism
By Kate Madden Yee
The results suggest that MRI exams could "augment traditional risk factor screening," researchers noted.
May 5, 2026
Fat Tissue
Whole body MRI, deep-learning can 'map' distribution of fat and muscle
By Kate Madden Yee
The map shows that the quality and amount of skeletal muscle, not just visceral fat, are strong predictors of disease.
May 5, 2026
Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).
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