Filters








19,073 Hits in 5.1 sec

Looking through the eyes of the multidisciplinary team: the design and clinical evaluation of a decision support system for lung cancer care

Jon R. Pluyter, Igor Jacobs, Sander Langereis, David Cobben, Sharon Williams, Jeannine Curfs, Ben van den Borne
2020 Translational Lung Cancer Research  
Clinical decision support systems (CDSSs) can potentially support MDTs in constructing a shared mental model of a patient case.  ...  This study shows the potential of CDSS on clinical decision making, when these systems are properly designed in line with clinical thinking.  ...  Also, it was not decided during the tumor board meeting to request a brain MRI scan.  ... 
doi:10.21037/tlcr-19-441 pmid:32953514 pmcid:PMC7481580 fatcat:a3yeyjsw5zfjxkx35vilvf6bwq

Brain Tumor Stem Cells as Therapeutic Targets in Models of Glioma

Dan Richard Laks, Koppany Visnyei, Harley Ian Kornblum
2010 Yonsei medical journal  
a complex adaptive system consisting of multiple brain tumor stem cells.  ...  Gliomas fit the essential criteria for a complex adaptive system, they are heterogeneous, self adaptive and self organized.  ... 
doi:10.3349/ymj.2010.51.5.633 pmid:20635435 pmcid:PMC2908869 fatcat:qmm4i5s3r5ahhh34f56pozm36e

Predictors of adaptive functioning and psychosocial adjustment in children with pediatric brain tumor: A report from the brain radiation investigative study consortium

Kristen E. Robinson, Kelly R. Wolfe, Keith O. Yeates, E. Mark Mahone, Kim M. Cecil, M. Douglas Ris
2014 Pediatric Blood & Cancer  
Background-Children are at risk for psychosocial and adaptive morbidities following diagnosis of and treatment for a pediatric brain tumor.  ...  Conclusions-Children may be more vulnerable to acute impairment in adaptive functioning following diagnosis of a pediatric brain tumor, but rates of behavioral symptoms were within expectation.  ...  Acknowledgments The preparation of this paper was supported in part by grant R01-CA112182-01from the National Cancer Institute to M. Douglas Ris.  ... 
doi:10.1002/pbc.25323 pmid:25400011 pmcid:PMC4305017 fatcat:3pj6kj2k5vgv3f4imq642llpqm

Neurological Surgery Milestones

Nathan R. Selden, Aviva Abosch, Richard W. Byrne, Robert E. Harbaugh, William E. Krauss, Timothy B. Mapstone, Oren Sagher, Gregory J. Zipfel, Pamela L. Derstine, Laura Edgar
2013 Journal of Graduate Medical Education  
patients with brain or spinal cord tumors Provides routine perioperative care for patients with brain or spinal cord tumors Initiates the workup of a patient with a brain or spinal cord tumor  ...  US health payment systems Describes the cost impact of practice variation in the context of system and national health resource utilization Describes principles of ethical coding (eg, diagnostic, E&M,  ... 
doi:10.4300/jgme-05-01s1-04 pmid:24404212 pmcid:PMC3627260 fatcat:4d6ru2qshrbohaa5apovvwqi24

Self-integrating knowledge-based brain tumor diagnostic system

Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng
1996 Expert systems with applications  
The performance of the brain tumor diagnostic system has been evaluated on actual brain tumor cases.  ...  to construct an initial knowledge base, thus eliminating a major bottleneck in developing a brain tumor diagnostic system.  ...  CONCLUSIONS This paper presents the design of a self-integrating knowledge-based brain tumor diagnostic system.  ... 
doi:10.1016/s0957-4174(96)00050-4 fatcat:wbbetldhvzdavo5cm56kmabgwi

Innovative Therapeutic Strategies for Effective Treatment of Brain Metastases

Malcolm Lim, Simon Puttick, Zachary Houston, Kristofer Thurecht, Priyakshi Kalita-de Croft, Stephen Mahler, Stephen Rose, Rosalind Jeffree, Roberta Mazzieri, Riccardo Dolcetti, Sunil Lakhani, Jodi Saunus
2019 International Journal of Molecular Sciences  
Brain metastases are the most prevalent of intracranial malignancies. They are associated with a very poor prognosis and near 100% mortality.  ...  Brain metastases are also highly adapted to their microenvironment, with complex cross-talk between the tumor, the stroma and the neural compartments driving speciation and drug resistance.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijms20061280 fatcat:zwqmlggceba77krba2hnwbx2re

Page 2 of Rehabilitation Literature Vol. 12, Issue 7 [page]

1951 Rehabilitation Literature  
This device consists of a self-propeled trolley system to which are suspended various types of supporting and vehicular apparatus. The rationale of its use is discussed. wig UWLQ  ...  TUMOR Dotter, Pamela Brain tumor, by Pamela Dotter and Eleanor Wade. Am. J. Nursing. May, 1951. 51:5:300~303.  ... 

A Microfluidic Platform for Systems Pathology: Multiparameter Single-Cell Signaling Measurements of Clinical Brain Tumor Specimens

J. Sun, M. D. Masterman-Smith, N. A. Graham, J. Jiao, J. Mottahedeh, D. R. Laks, M. Ohashi, J. DeJesus, K.-i. Kamei, K.-B. Lee, H. Wang, Z. T. F. Yu (+23 others)
2010 Cancer Research  
To show the clinical application of the MIC platform to solid tumors, we analyzed a panel of 19 human brain tumor biopsies, including glioblastomas.  ...  To interpret the multiparameter, single-cell MIC measurements, we adapted bioinformatic methods including self-organizing maps that stratify patients into clusters that predict tumor progression and patient  ...  Results Design of the MIC platform To develop a molecular diagnostic tool for multiparameter pathology analysis of solid tumor specimens, we designed a simple monolithic microfluidic device to enable  ... 
doi:10.1158/0008-5472.can-10-0076 pmid:20631065 pmcid:PMC3163840 fatcat:3iszect5pvhrxkzsiwymcijkpm

Page 2 of Rehabilitation Literature Vol. 12, Issue 7 [page]

1951 Rehabilitation Literature  
This device consists of a self=propeled trolley system to which are suspended various types of supporting and vehicular apparatus. The rationale of its use is discussed.  ...  TUMOR 505. Dotter, Pamela Brain tumor, by Pamela Dotter and Eleanor Wade. Am. J. Nursing. May, 1951. 51:5:300~303.  ... 

mTHPC-mediated Photodynamic Diagnosis of Malignant Brain Tumors¶

Andreas Zimmermann, Monika Ritsch-Marte, Herwig Kostron
2007 Photochemistry and Photobiology  
We have adapted and optimized a diagnostic system that includes a surgical microscope, an excitation light source (filtered to 370-440 nm), a video camera detection system and a spectrometer for clear  ...  Radical tumor resection is the basis for the prolonged survival of patients suffering from malignant brain tumors such as glioblastoma multiforme.  ...  Acknowledgements We thank Karl Storz GmbH, Tuttlingen, Germany, and Richard Wolf GmbH, Knittlingen, Germany, and Leica Microsystems, Heerbrugg, Switzerland, for making their diagnostic systems and their  ... 
doi:10.1562/0031-8655(2001)0740611mmpdom2.0.co2 fatcat:54fwkdjqgneftic65bpnpqqkn4

mTHPC-mediated Photodynamic Diagnosis of Malignant Brain Tumors¶

Andreas Zimmermann, Monika Ritsch-Marte, Herwig Kostron
2001 Photochemistry and Photobiology  
We have adapted and optimized a diagnostic system that includes a surgical microscope, an excitation light source (filtered to 370-440 nm), a video camera detection system and a spectrometer for clear  ...  Radical tumor resection is the basis for the prolonged survival of patients suffering from malignant brain tumors such as glioblastoma multiforme.  ...  Acknowledgements We thank Karl Storz GmbH, Tuttlingen, Germany, and Richard Wolf GmbH, Knittlingen, Germany, and Leica Microsystems, Heerbrugg, Switzerland, for making their diagnostic systems and their  ... 
doi:10.1562/0031-8655(2001)074<0611:mmpdom>2.0.co;2 pmid:11683042 fatcat:yedlhj5r3jfsjaxupsa32p226i

A Proficient Adaptive K-means based Brain Tumor Segmentation and Detection Using Deep Learning Scheme with PSO

Anitha T, Department of Computer Science & Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (Deemed to be University), Chennai, Tamil Nadu, India, Charlyn Pushpa Latha G, Surendra Prasad M, Department of Computer Science & Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (Deemed to be University), Chennai, Tamil Nadu, India, Annapoorana Medical College and Hospitals, Salem - Kochi Highway, Kombadipatti, Tamil Nadu, India
2020 Journal of Computational Science and Intelligent Technologies  
Determining the size of the tumor is a significant obstacle in brain tumour preparation and objective assessment.  ...  Magnetic Resonance Imaging (MRI) is one of the non-invasive methods that has emanated without ionizing radiation as a front-line diagnostic method for brain tumour.  ...  INTRODUCTION rain tumors are a heterogeneous group of neoplasms of the central nervous system that form within or adjacent to the brain.  ... 
doi:10.53409/mnaa.jcsit20201302 fatcat:fhzduewxgzeqtgco5aksax7slq

PATH-11. Detection of genetic and epigenetic alterations in Liquid Biopsies from pediatric brain tumor patients

Tom T Fischer, Kendra K Maaß, Pitithat Puranachot, Agnes M E Finster, Markus Mieskolainen, Paulina S Schad, Martin Sill, Fabian Rosing, Tatjana Wedig, Nathalie Schwarz, Florian Iser, Jochen Meyer (+7 others)
2022 Neuro-Oncology  
Here, we assessed the feasibility of LBs in a pediatric brain tumor cohort (n=12 patients) by adapting pre-analytical protocols to low cell-free DNA (cfDNA) input and bioinformatic pipelines for genome-wide  ...  CONCLUSIONS: Our results highlight the feasibility of liquid biopsies from both CSF and serum in brain tumor patients.  ...  The precise delineation of breakpoints in fusion-driven tumors might be of value in the design of cfDNA-based assays.  ... 
doi:10.1093/neuonc/noac079.595 fatcat:ok65wc2g2jcwfad454bvrr2hly

Neural Network Techniques for Cancer Prediction: A Survey

Shikha Agrawal, Jitendra Agrawal
2015 Procedia Computer Science  
The main aim of this survey in medical diagnostics is to guide researchers to develop most cost effective and user friendly systems, processes and approaches for clinicians.  ...  Cancer is a dreadful disease. Millions of people died every year because of this disease. It is very essential for medical practitioners to opt a proper treatment for cancer patients.  ...  A brain tumor identification and detection system is recommended by Joshi et al., [11] . Here, MRI images of several cancer patients are analyzed by using neural network.  ... 
doi:10.1016/j.procs.2015.08.234 fatcat:mej6gtx5gzhz3ei27koahpgn4e

Review on MRI Brain Tumor Segmentation Approaches

Ganesamurthy K, Dr. Vijayakumar P
2019 Bonfring International Journal of Advances in Image Processing  
There is a required designed for automatic brain tumor image segmentation. Presently amount of conventional methods are used for MRI-based brain tumor image segmentation.  ...  Segmentation methods based on the manual of the brain tumors designed for cancer analysis, from huge number of MRI images created in clinical routine, is a complicated and time consumption task.  ...  Usman Akram and Anam Usman (2011) proposed an algorithm for automatic MR brain tumor analytic system. The system includes of three steps toward identify and segment a brain tumor.  ... 
doi:10.9756/bijaip.9035 fatcat:cldhvia5wbcnxht2jtyap4atxa
« Previous Showing results 1 — 15 out of 19,073 results