Dr. Stephen Fenn

Clinical News
How to make full image sharing a reality
The barriers to true, seamless image sharing are many and varied, but the solutions are within our grasp, notes Dr. Stephen Fenn in a guest column. It's vital to push to get full sharing functionality in place, covering each of the scheduling, scanning, reporting, and subsequent clinical care steps.
August 7, 2016
2014 07 25 13 26 17 310 Cyber Informatics 200
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Christiane Kuhl gives insights to Der Spiegel
Breast imaging pioneer Prof. Dr. Christiane Kuhl has given a Q&A interview to the German news magazine, Der Spiegel. She's also spoken about her love of riding horses during her leisure time.
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Artificial Intelligence
Merger of radiology and pathology: What’s the next step?
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Radiology Education
Nordic survey pinpoints motivators and obstacles in research
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Artificial Intelligence
A guide to challenging conversations
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Christiane Kuhl gives insights to Der Spiegel
By Liz Carey, Philip Ward
Breast imaging pioneer Prof. Dr. Christiane Kuhl has given a Q&A interview to the German news magazine, Der Spiegel. She's also spoken about her love of riding horses during her leisure time.
November 3, 2025
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Merger of radiology and pathology: What’s the next step?
By Frances Rylands-Monk
For integration to go ahead, structured reciprocal conversations between all stakeholders are vital, and turf battles must not be allowed to derail the process, says Prof. Evis Sala.
November 3, 2025
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Nordic survey pinpoints motivators and obstacles in research
By Maryam Payne
What factors inspire radiologists to engage in research? And what factors prevent them from doing so? A survey from the Nordic region provides some answers.
October 31, 2025
Earth Sweden Norway Cr
A guide to challenging conversations
By Dr. Susan Shelmerdine
Tough discussions are common in radiology, but you can turn them to your advantage, says Dr. Susan Shelmerdine. She has top tips on how to handle awkward situations.
October 31, 2025
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Imaging team reflects on 20 years of orbital ultrasound, MRI
By Philip Ward
Four experienced pediatric radiologists have shared two decades of knowledge and expertise of orbital anatomy and pathology in new research.
October 30, 2025
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Mirai shows promise for detecting interval breast cancers
By Amerigo Allegretto
The AI risk prediction model Mirai has shown promise for detecting interval breast cancers from screening mammograms, according to Prof. Fiona Gilbert.
October 29, 2025
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German group shows how to optimize whole-body MRI
By Maryam Payne
Researchers from Heidelberg and Hannover have tried to establish the most effective protocol for whole-body MRI for cancer detection in patients with Li-Fraumeni syndrome.
October 29, 2025
Sequences included in the study MRI protocol: (a) coronal TIRM (turbo inversion recovery magnitude) sequence, (b) coronal T1-weighted sequence, (c) axial FLAIR (fluid-attenuated inversion recovery) sequence (head only), (d) axial T2-weighted fast spin-echo sequence (HASTE), (e) axial diffusion-weighted imaging (b-value 900), (f) an axial ADC map, (g) axial T1-Dixon water-only images before contrast agent, and (h) after administration of contrast agent.
Team Sicily shines light on imaging of gunshot wounds
By Philip Ward
New analysis from Italy shows that forensic radiology training significantly boosts postmortem CT reliability and enables radiologists to recognize injury patterns specific to firearm-related fatalities.
October 28, 2025
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MRI predicts diabetes in obese patients
By Will Morton
Researchers found a dose-response relationship between MRI-derived liver proton density fat fraction and abnormal glucose metabolism.
October 28, 2025
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New procedure treats chronic pain in toe joints
By Will Morton
Median pain scores dropped for 27 patients from nine to one after five months.
October 28, 2025
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DWI with fat correction identifies liver scarring in MASLD patients
By Kate Madden Yee
An MRI technique that corrects for fat in the liver appears to perform comparably to MRE for detecting fibrosis.
October 27, 2025
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LLMs rapidly evolving in nuclear medicine
By Will Morton
Large language models (LLMs) are widely used to handle the large volume of text data generated in nuclear medicine.
October 27, 2025
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