British Journal of Radiology
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#1Gavin E. Duggan (Veterans Health Administration)H-Index: 13
#3Yun Liu (Veterans Health Administration)H-Index: 21
Last. Shravya Shetty (Veterans Health Administration)H-Index: 8
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OBJECTIVE Demonstrate the importance of combining multiple readers' opinions, in a context-aware manner, when establishing the reference standard for validation of artificial intelligence (AI) applications for, e.g. chest radiographs. By comparing individual readers, majority vote of a panel, and panel-based discussion, we identify methods which maximize interobserver agreement and label reproducibility. METHODS 1100 frontal chest radiographs were evaluated for 6 findings: airspace opacity, card...
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OBJECTIVE To investigate whether BIRADS MRI characteristics before or during neoadjuvant endocrine therapy (NET) are associated with the preoperative endocrine prognostic index (PEPI) in ER+/HER2- breast cancer patients. METHODS This retrospective observational cohort study included 35 ER+/HER2- patients with 38 tumors (3 bilateral cases) treated with NET. The pre- and midtreatment (after 3 months) MRIs were evaluated by two breast radiologists for BIRADS imaging characteristics, shrinkage patte...
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#1Ming Tsuey Chew (Sunway University)H-Index: 5
#2Eman Daar (UJ: University of Jordan)H-Index: 5
Last. D.A. Bradley (University of Surrey)H-Index: 39
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Infection, the invasion of pathogenic microorganisms and viruses, causes reactive inflammation mediated by endogenous signals, with influx of leucocytes with distinct properties and capable of mounting a cellular or antibody response. Different forms of inflammation may also occur in response to tumours, in allergy and autoimmune disorders. Pneumonia, respiratory tract infection and septic shock for instance can arise as serious complications of the Covid-19 virus. While radiotherapy has been mo...
1 CitationsSource
#1Deborah C. Marshall (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 11
#2Zahra Ghiassi-Nejad (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 8
Last. Stephanie V. Blank (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 8
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Objective:The bulboclitoris (clitoris and vestibular bulbs) is the primary organ responsible for female sexual arousal and orgasm. Effects of radiotherapy on the bulboclitoris are unknown, as its s...
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#1Yao Liu (CSU: Central South University)
#2Guiying Du (TEDA International Cardiovascular Hospital)
Objectives:To investigate whether and how meniscal height is associated with osteoarthritis (OA)-related knee structural changes in symptomatic knee OA.Methods:We studied 106 patients (61 female, a...
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#1Jarrel SeahH-Index: 5
Last. Meng Law (Monash University)H-Index: 53
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Artificial Intelligence (AI), including deep learning, is currently revolutionising the field of medical imaging, with far reaching implications for almost every facet of diagnostic imaging, including patient radiation safety. This paper introduces basic concepts in deep learning and provides an overview of its recent history and its application in tomographic reconstruction as well as other applications in medical imaging to reduce patient radiation dose, as well as a brief description of previ...
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#1Jenia Vassileva (IAEA: International Atomic Energy Agency)H-Index: 15
#2Ola HolmbergH-Index: 10
This review summarises the current knowledge about recurrent radiological imaging and associated cumulative doses to patients. The recent conservative estimates are for around 0.9 million patients ...
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#1Charles H Brower (Harvard University)H-Index: 1
#2Madan M. Rehani (Harvard University)H-Index: 32
Millions of patients benefit from medical imaging every single day. However, we have entered an unprecedented era in imaging practices wherein 1 out of 125 patients can be exposed to effective dose...
1 CitationsSource
#1Helcio Mendonça Pereira (USP: University of São Paulo)
Last. Marcello H. Nogueira-Barbosa (MU: University of Missouri)H-Index: 1
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Objective:This study aims to build machine learning-based CT radiomic features to predict patients developing metastasis after osteosarcoma diagnosis.Methods and materials:This retrospective study ...
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OBJECTIVE This study aimed to conduct objective and subjective comparisons of image quality among abdominal computed tomography (CT) reconstructions with deep learning reconstruction (DLR) algorithms, model-based iterative reconstruction (MBIR), and filtered back projection (FBP). METHODS Datasets from consecutive patients who underwent low-dose liver CT were retrospectively identified. Images were reconstructed using DLR, MBIR, and FBP. Mean image noise and contrast-to-noise ratio (CNR) were ca...
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