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| Open AccessA multicenter clinical AI system study for detection and diagnosis of focal liver lesions
Early detection and accurate diagnosis of focal liver lesions are crucial for effective treatment and prognosis. Here, the authors present a fully automated diagnostic system that leverages multi-phase CT scans and clinical features, for diagnosing liver lesions.
- Hanning Ying
- , Xiaoqing Liu
- & Xiujun Cai
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Article
| Open AccessInterstitial lung disease diagnosis and prognosis using an AI system integrating longitudinal data
Accurate diagnosis of interstitial lung disease subtypes and prediction of patient survival rates remains challenging. Here, the authors develop AI algorithms to combine patient’s clinical history and longitudinal CT images to help clinicians diagnose and classify subtypes and dynamically predict disease progression and prognosis.
- Xueyan Mei
- , Zelong Liu
- & Yang Yang
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Article
| Open AccessEmergency triage of brain computed tomography via anomaly detection with a deep generative model
Triage is essential for the early diagnosis and reporting of emergency patients in the emergency department. Here, the authors develop an anomaly detection algorithm with a deep generative model that reprioritizes radiology worklists and provides lesion attention maps for brain CT images with critical findings.
- Seungjun Lee
- , Boryeong Jeong
- & Namkug Kim
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Article
| Open AccessMulti-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
Computational decision support systems could provide clinical value in whole-body FDG PET/CT workflows, but labeled data is scarce and PET/CT imaging exams are cumbersome. Here, the authors describe a weak supervision framework that extracts regional abnormality labels from free-text radiology reports.
- Sabri Eyuboglu
- , Geoffrey Angus
- & Matthew P. Lungren
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Article
| Open AccessPD-L1 is an activation-independent marker of brown adipocytes
Current approaches to visualise brown adipose tissue (BAT) rely primarily on markers that reflect its metabolic activity. Here, the authors show that PD-L1 is expressed on brown adipocytes, does not change upon BAT activation, and that BAT volume in mice can be measured by PET-CT with a radiolabeled anti-PD-L1 antibody.
- Jessica R. Ingram
- , Michael Dougan
- & Hidde L. Ploegh
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Article
| Open AccessDietary fatty acid metabolism of brown adipose tissue in cold-acclimated men
Brown adipose tissue (BAT) takes up and burns fatty acids for thermogenesis in mice. Here the authors use PET to show that, in humans, cold stimulation increases BAT dietary fatty acid uptake from plasma and oxidative metabolism, although, unlike mice, human BAT takes up less fatty acids than other metabolic tissues.
- Denis P. Blondin
- , Hans C. Tingelstad
- & André C. Carpentier
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Article
| Open AccessIdentifying active vascular microcalcification by 18F-sodium fluoride positron emission tomography
Atherosclerotic plaques with macrocalcification are stable, whereas microcalcification is a key feature of rupture-prone plaques. Here the authors show that18F-NaF PET/CT imaging can distinguish between macro- and microcalcification providing a potential, non-invasive imaging technique to identify patients with high-risk atheroma.
- Agnese Irkle
- , Alex T. Vesey
- & Anthony P. Davenport
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Non-invasive mapping of deep-tissue lymph nodes in live animals using a multimodal PET/MRI nanoparticle
The imaging of tumour-draining lymph nodes is important for cancer diagnosis and therapy. Here, Thorek et al. report a nanoparticle that allows for the combined imaging of deep-tissue lymph nodes by positron emission tomography and magnetic resonance imaging in cancer-bearing mice.
- Daniel L. J. Thorek
- , David Ulmert
- & Jan Grimm