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Monteris Medical wins FDA IDE nod for another NeuroBlate brain cancer trial
Monteris Medical said today it won FDA investigational device exemption to explore the use of its NeuroBlate system in patients newly diagnosed with glioblastoma multiforme.
The NeuroBlate system is designed to ablate, necrotize or coagulate soft tissue during neurosurgery procedures through laser thermotherapy, and is not intended for any specific disease or lesion type, the company said.
With the investigative approval, Plymouth, Minn.-based Monteris said it expects to launch a new study of its device in the 4th quarter of this year, with enrollment slated for 5 sites in the U.S.
“Glioblastoma multiforme continue...
Source: Mass Device - September 8, 2016 Category: Medical Equipment Authors: Fink Densford Tags: Clinical Trials Food & Drug Administration (FDA) Neurological Monteris Medical Source Type: news
Zebra Medical vision looks to offer AI-assisted imaging scans for $1
Israeli machine-learning radiology firm Zebra Medical Vision said today it plans to launch its AI1 automated imaging analytics tools to healthcare providers for approximately $1 per scan.
The company said it has developed a deep learning engine platform that can detect various medical findings from image scans on its own, including the detection of liver, lung, cardiovascular and bone disease.
Zebra Medical Vision said it is also planning to introduce new capabilities that would cover breast cancer, lung cancer, brain trauma, hypertension and other clinical areas.
“With this new model, we hope to facilitate adoption...
Source: Mass Device - October 27, 2017 Category: Medical Devices Authors: Fink Densford Tags: Business/Financial News Imaging Zebra Medical Vision Source Type: news
A Review of Denoising Medical Images Using Machine Learning
Approaches.
Conclusion: The problem faced by the researchers during image denoising techniques and machine learning applications for clinical settings have also been discussed.
PMID: 30532667 [PubMed]
Source: Current Medical Imaging Reviews - December 13, 2018 Category: Radiology Tags: Curr Med Imaging Rev Source Type: research
GT Medical lands $10m Series A for IsoRay ’ s GammaTile
GT Medical Technologies said today that it landed a $10 million Series A round for the GammaTile brachytherapy it co-developed with IsoRay (NYSE:ISR) to treat brain tumors.
Richland, Wash.-based IsoRay and the Barrow Neurological Institute formed GT Medical to develop the technology to embed Cesium-131 brachytherapy seeds in collagen tiles to treat malignant meningioma, according to regulatory filings, inking a formal co-development deal in March 2017. By January of the following year the deal had expanded to include an exclusive, 10-year manufacturing & supply pact for GammaTile. In July 2018 GammaTile won 510(k...
Source: Mass Device - January 31, 2019 Category: Medical Devices Authors: Brad Perriello Tags: Featured Funding Roundup Radiosurgery/Radiation therapy Wall Street Beat GT Medical Technologies IsoRay Source Type: news
MITA: new study underscores value of medical imaging in treating cancer
This study demonstrates the tremendous value of advanced medical imaging to guide optimal patient care and deliver more effective treatment," said Gail Rodriguez, Executive Director of MITA...
Source: Health News from Medical News Today - August 21, 2013 Category: Consumer Health News Tags: MRI / PET / Ultrasound Source Type: news
Medical physics aspects of the synchrotron radiation therapies: Microbeam radiation therapy (MRT) and synchrotron stereotactic radiotherapy (SSRT).
Abstract
Stereotactic Synchrotron Radiotherapy (SSRT) and Microbeam Radiation Therapy (MRT) are both novel approaches to treat brain tumor and potentially other tumors using synchrotron radiation. Although the techniques differ by their principles, SSRT and MRT share certain common aspects with the possibility of combining their advantages in the future. For MRT, the technique uses highly collimated, quasi-parallel arrays of X-ray microbeams between 50 and 600 keV. Important features of highly brilliant Synchrotron sources are a very small beam divergence and an extremely high dose rate. The minimal beam divergen...
Source: Medical Physics - June 1, 2015 Category: Physics Authors: Bräuer-Krisch E, Adam JF, Alagoz E, Bartzsch S, Crosbie J, DeWagter C, Dipuglia A, Donzelli M, Doran S, Fournier P, Kalef-Ezra J, Kock A, Lerch M, McErlean C, Oelfke U, Olko P, Petasecca M, Povoli M, Rosenfeld A, Siegbahn EA, Sporea D, Stugu B Tags: Phys Med Source Type: research
Varian Medical, Elekta bury the hatchet in radiosurgery spat
Varian Medical (NYSE:VAR) and Elekta (STO:EKTA B) said yesterday that they agreed to bury the hatchet in their patent infringement war over radiosurgery technology.
The agreement covers litigation in the U.S., Germany and the U.K. and includes a lawsuit brought by Elekta and William Beaumont Hospital in Royal Oak, Mich., Varian and Elekta said. The settlement did not involve any exchange of payment or any future obligations, they said.
It’s not the 1st peace deal between the rivals. In 2013 Palo Alto, Calif.-based Varian and Stockholm-based Elekta agreed to put to rest a lawsuit accusing the Swedish medical devi...
Source: Mass Device - April 4, 2017 Category: Medical Equipment Authors: Brad Perriello Tags: Legal News Patent Infringement Radiosurgery Wall Street Beat Elekta AB Varian Medical Systems Source Type: news
Direct medical costs of treatment in newly diagnosed high-grade glioma among commercially insured US patients.
CONCLUSIONS: The direct medical costs of newly diagnosed, TMZ-treated GBM in commercially insured patients are substantial, with estimated total cumulative costs of $268,031.
PMID: 28777020 [PubMed - as supplied by publisher]
Source: Journal of Medical Economics - August 5, 2017 Category: Health Management Tags: J Med Econ Source Type: research
Zebra Medical Vision to host AI1 image analytics on Google Cloud
Israeli machine-learning radiology firm Zebra Medical Vision said it will be uploading its radiology algorithms to the Google (NSDQ:GOOG) Cloud as part of the AI1 automated imaging analytics tools offering it announced last month.
The AI1 analytical platform includes a deep learning engine system that can detect various medical findings from image scans on its own, including the detection of liver, lung, cardiovascular and bone disease.
The Israel-based company also said said it is planning to introduce new capabilities that would cover breast cancer, lung cancer, brain trauma, hypertension and other clinical areas.
Z...
Source: Mass Device - November 8, 2017 Category: Medical Devices Authors: Fink Densford Tags: Business/Financial News Health Information Technology Imaging Zebra Medical Vision Source Type: news
Computational Intelligence for Medical Imaging Simulations
AbstractThis paper describes how to simulate medical imaging by computational intelligence to explore areas that cannot be easily achieved by traditional ways, including genes and proteins simulations related to cancer development and immunity. This paper has presented simulations and virtual inspections of BIRC3, BIRC6, CCL4, KLKB1 and CYP2A6 with their outputs and explanations, as well as brain segment intensity due to dancing. Our proposed MapReduce framework with the fusion algorithm can simulate medical imaging. The concept is very similar to the digital surface theories to simulate how biological units can get togeth...
Source: Journal of Medical Systems - November 25, 2017 Category: Information Technology Source Type: research
DRINet for Medical Image Segmentation
Convolutional neural networks (CNNs) have revolutionized medical image analysis over the past few years. The U-Net architecture is one of the most well-known CNN architectures for semantic segmentation and has achieved remarkable successes in many different medical image segmentation applications. The U-Net architecture consists of standard convolution layers, pooling layers, and upsampling layers. These convolution layers learn representative features of input images and construct segmentations based on the features. However, the features learned by standard convolution layers are not distinctive when the differences amon...
Source: IEE Transactions on Medical Imaging - November 1, 2018 Category: Biomedical Engineering Source Type: research
A Cross Sectional Study of Tumors Using Bio-Medical Imaging Modalities.
CONCLUSION: This study provides an initial guideline for researchers from both fields, that is, medicine and engineering. The analyses are shown and discussed in detail through images. This paper shows the significance of image processing platform for tumor detection automation.
PMID: 31964329 [PubMed - in process]
Source: Current Medical Imaging Reviews - January 23, 2020 Category: Radiology Tags: Curr Med Imaging Rev Source Type: research
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation
Automated and accurate 3D medical image segmentation plays an essential role in assisting medical professionals to evaluate disease progresses and make fast therapeutic schedules. Although deep convolutional neural networks (DCNNs) have widely applied to this task, the accuracy of these models still need to be further improved mainly due to their limited ability to 3D context perception. In this paper, we propose the 3D context residual network (ConResNet) for the accurate segmentation of 3D medical images. This model consists of an encoder, a segmentation decoder, and a context residual decoder. We design the context resi...
Source: IEE Transactions on Medical Imaging - February 1, 2021 Category: Biomedical Engineering Source Type: research
Incidence, mortality and medical costs of patients hospitalized with melanoma in Spain: a retrospective multicentre observational study.
CONCLUSIONS: The increasing in-hospital incidence of melanoma appeared to reverse in 2014, as did the increasing mortality rate measured in older males. The shift in melanoma in-hospital incidence could respond to the increasing trend to treat patients in primary care settings. Further studies will be required to confirm these trends in order to adapt the healthcare system.
PMID: 33591848 [PubMed - as supplied by publisher]
Source: Current Medical Research and Opinion - February 18, 2021 Category: Research Tags: Curr Med Res Opin Source Type: research
Financial Estimation of the Uncertainty in Medicine Using Present Value of Medical Fees and a Mortality Risk Prediction Model: a Retrospective Cohort Study
This study aimed to develop a method to enable the financial estimation of each patient ’s uncertainty without focusing on healthcare technology. We define financial uncertainty (FU) as the difference between an actual amount of claim (AC) and the discounted present value of the AC (DAC). DAC can be calculated based on a discounted present value calculated using a cash flow, a period of investment, and a discount rate. The present study considered these three items as AC, the length of hospital stay, and the predicted mortality rate. The mortality prediction model was built using typical data items in standard level elec...
Source: Journal of Medical Systems - October 1, 2021 Category: Information Technology Source Type: research
