Abstract In this work we estimate the diagnostic threshold of the instantaneous wave‐free ratio (iFR) through the use of a one‐dimensional haemodynamic framework. To this end we first compared the computed fractional flow reserve (FFR) predicted from a 1D computational framework with invasive clinical measurements. The framework shows excellent promise and utilises minimal patient data from a cohort of 52 patients with a total of 66 stenoses. The diagnostic accuracy of the cFFR model was 75.76 %,...
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Researchers from the University of Texas at Austin have developed a new handheld pen for rapid intraoperative cancer detection. Their work demonstrates that the tool can identify different molecular profiles between cancerous and non-cancerous tissue without harming the sampled tissues. This exciting development can one day improve cancer diagnosis and allow for more precise surgical removal of tumors. Currently, surgeons rely on tissue sectioning and histology to determine whether...
Aneurysms within the brain are extremely dangerous, although there are therapies available such as stents and blood flow diverters. Even after treatment, a cerebral aneurysm can continue developing and how it heals cannot be predicted. Monitoring a treated vessel deep within the brain would provide physicians with the ability to act in situations that would otherwise only be apparent once a rupture, or some other terrible malady, happens. Currently, this kind of vascular analysis...
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Publication date: Available online 31 August 2019Source: Medical Image AnalysisAuthor(s): Pierre-Antoine Ganaye, Michaël Sdika, Bill Triggs, Hugues Benoit-CattinAbstractThe advent of deep learning has pushed medical image analysis to new levels, rapidly replacing more traditional machine learning and computer vision pipelines. However segmenting and labelling anatomical regions remains challenging owing to appearance variations, imaging artifacts, the paucity and variability of annotated data, and...
Publication date: Available online 31 August 2019Source: Medical Image AnalysisAuthor(s): Xin Yi, Ekta Walia, Paul BabynAbstractGenerative adversarial networks have gained a lot of attention in the computer vision community due to their capability of data generation without explicitly modelling the probability density function. The adversarial loss brought by the discriminator provides a clever way of incorporating unlabeled samples into training and imposing higher order consistency. This has proven...
Publication date: Available online 30 August 2019Source: Medical Image AnalysisAuthor(s): Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann HengAbstractThe whole slide histopathology images (WSIs) play a critical role in gastric cancer diagnosis. However, due to the large scale of WSIs and various sizes of the abnormal area, how to select informative regions and analyze them are quite challenging during the automatic diagnosis process. The multi-instance...
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Publication date: Available online 31 August 2019Source: International Journal of Radiation Oncology*Biology*PhysicsAuthor(s): Pierina Navarria, Federico Pessina, Elena Clerici, Davide Franceschini, Lorenzo Gabriel Gay, Fiorenza De Rose, Ilaria Renna, Giuseppe D’Agostino, Ciro Franzese, Tiziana Comito, Stefano Tomatis, Marco Conti Nibali, Antonella Leonetti, Guglielmo Puglisi, Lorenzo Bello, Marta ScorsettiABSTRACTPurposeThis prospective phase II study assessed safety and feasibility of surgery followed...
Publication date: Available online 31 August 2019Source: International Journal of Radiation Oncology*Biology*PhysicsAuthor(s): Jack M. Qian, James B. Yu, Amit Mahajan, Sarah B. Goldberg, Harriet M. Kluger, Veronica L.S. ChiangAbstractBackgroundAn increasing number of clinical trials are studying immunotherapy for the treatment of brain metastases. The role of local therapy in this setting has not been well described.Methods23 melanoma patients with brain metastases were treated with pembrolizumab...
Publication date: Available online 30 August 2019Source: International Journal of Radiation Oncology*Biology*PhysicsAuthor(s): Aurelie Garant, Sindy Magnan, Slobodan Devic, André-Guy Martin, Marylise Boutros, Carol-Ann Vasilevsky, Stéphanie Ferland, Alexis Bujold, Sylvain DesGroseilliers, Herawaty Sebajang, Carole Richard, Té VuongAbstractBackgroundOrgan preservation or non-operative management (NOM) of rectal cancer is of growing interest. Image-guided adaptive endorectal brachytherapy is a radiation...
Publication date: Available online 30 August 2019Source: International Journal of Radiation Oncology*Biology*PhysicsAuthor(s): Yeona Cho, Sangjoon Park, Hwa Kyung Byun, Chang Geol Lee, Jaeho Cho, Min Hee Hong, Hye Ryun Kim, Byoung Chul Cho, Sinae Kim, Juyoung Park, Hong In YoonAbstractPurposeThe interest in combining radiotherapy (RT) with immunotherapy is increasing. We investigated the significance of lymphopenia in patients receiving immunotherapy for non-small cell lung cancer (NSCLC), and the...
Publication date: Available online 30 August 2019Source: International Journal of Radiation Oncology*Biology*PhysicsAuthor(s): R.P.J. van den Ende, E.M. Kerkhof, L.S. Rigter, M.E. van Leerdam, F.P. Peters, B. van Triest, M. Staring, C.A.M. Marijnen, U.A. van der HeideAbstractPurposeTo evaluate the feasibility of fiducial markers as a surrogate for GTV position in image-guided radiotherapy of rectal cancer.Methods and MaterialsWe analyzed 35 fiducials in 19 rectal cancer patients who received short...
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