Gamma knife radiosurgery (GKRS) is considered an established treatment for vestibular schwannoma (VS) in selected patients. Spontaneous intratumoral hemorrhage in VS after GKRS is very rare. In this report, we present a 63-year-old gentleman who had right-side severe sensorineural hearing loss on MRI showing a right cerebellopontine angle tumor (volume 4.96 cm3) with an internal acoustic meatus extension. He underwent GKRS with the prescription dose of 12 Gy to the 50% isodose line, covering 4.66...
08:45
Ecological Evidence for Lower Risk of Lymphoma with Greater Exposure to Sunlight and Higher Altitude
High Altitude Medicine &Biology, Ahead of Print.
09:58
Abstract Purpose The high false positive rate (FPR) of 18F-FDG PET/CT in lung cancer screening represents a severe challenge for clinical decision-making. This study aimed to develop a clinical-translatable radiomics nomogram for reducing the FPR of PET/CT in lung cancer diagnosis, and to determine the impact of integrating manual diagnosis to the performance of the radiomics nomogram. ...
10:37
Abstract Purpose Image quality of positron emission tomography (PET) is limited by various physical degradation factors. Our study aims to perform PET image denoising by utilizing prior information from the same patient. The proposed method is based on unsupervised deep learning, where no training pairs are needed. Methods In this method, the...
10:37
Abstract While molecular imaging with positron emission tomography or single-photon emission computed tomography already reports on tumour molecular mechanisms on a macroscopic scale, there is increasing evidence that there are multiple additional features within medical images that can further improve tumour characterization, treatment prediction and prognostication. Early reports have already revealed the power of radiomics to personalize and improve patient management and...
10:37
Abstract Objective Quantitative PET/MR imaging is challenged by the accuracy of synthetic CT (sCT) generation from MR images. Deep learning-based algorithms have recently gained momentum for a number of medical image analysis applications. In this work, a novel sCT generation algorithm based on deep learning adversarial semantic structure (DL-AdvSS) is proposed for MRI-guided attenuation correction in brain PET/MRI. ...
10:37
Abstract Purpose This study investigated the potential of deep convolutional neural networks (CNN) for automatic classification of FP-CIT SPECT in multi-site or multi-camera settings with variable image characteristics. Methods The study included FP-CIT SPECT of 645 subjects from the Parkinson’s Progression Marker Initiative (PPMI), 207 healthy...
10:37
Abstract Neuroinflammation, as defined by the activation of microglia and astrocytes, has emerged in the last years as a key element of the pathogenesis of neurodegenerative diseases based on genetic findings and preclinical and human studies. This has raised the need for new methodologies to assess and follow glial activation in patients, prompting the development of PET ligands for molecular imaging of glial cells and novel structural MRI and DTI tools leading to a multimodal...
10:37
Abstract Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in multicentre settings is an important criterion for clinical translation. We therefore performed a meta-analysis to investigate reproducibility of radiomics biomarkers in PET imaging and to obtain quantitative information regarding their sensitivity to variations in various imaging and radiomics-related factors as well as their inherent sensitivity. Additionally, we identify and...
10:37
Abstract Radiomics, machine learning, and, more generally, artificial intelligence (AI) provide unique tools to improve the performances of nuclear medicine in all aspects. They may help rationalise the operational organisation of imaging departments, optimise resource allocations, and improve image quality while decreasing radiation exposure and maintaining qualitative accuracy. There is already convincing data that show AI detection, and interpretation algorithms can perform...
10:37
Abstract Almost 50 million people worldwide are affected by Alzheimer’s disease (AD), the most common neurodegenerative disorder. Development of disease-modifying therapies would benefit from reliable, non-invasive positron emission tomography (PET) biomarkers for early diagnosis, monitoring of disease progression, and assessment of therapeutic effects. Traditionally, PET ligands have been based on small molecules that, with the right properties, can penetrate the blood–brain...
10:37
Abstract Artificial intelligence (AI) is currently regaining enormous interest due to the success of machine learning (ML), and in particular deep learning (DL). Image analysis, and thus radiomics, strongly benefits from this research. However, effectively and efficiently integrating diverse clinical, imaging, and molecular profile data is necessary to understand complex diseases, and to achieve accurate diagnosis in order to provide the best possible treatment. In addition to...
10:37
The Journal of Human Reproductive Sciences (JHRS) a quarterly peer-reviewed international journal is being launched in January 2008 under the auspices of Indian Society of Assisted Reproduction. The journal will cover all aspects human reproduction including Andrology, Assisted conception, Endocrinology, Physiology and Pathology, Implantation, Preimplantation Diagnosis, Preimplantation Genetic Diagnosis, Embryology as well as Ethical, Legal and Social issues. The journal will publish peer-reviewed...
10:48
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