Deep learning performs superresolution MSK MRI

A deep-learning algorithm can transform low-resolution, thick-slice knee MR...Read more on AuntMinnie.comRelated Reading: Machine learning may identify medulloblastoma subtypes Is artificial intelligence ethical in healthcare? Deep learning may produce sharp reductions in DBT dose AI can help distinguish lung nodules on CT scans Can AI help in the fight against gadolinium deposition?
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

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Conclusion: LSZ suppressed medulloblastoma Daoy cells by up-regulating miR-211 and further modulating the activations of PI3K/AKT and mTOR signaling pathways.Cell Physiol Biochem 2018;49:2012 –2021
Source: Cellular Physiology and Biochemistry - Category: Cytology Source Type: research
Condition:   Medulloblastoma Interventions:   Device: Tomotherapy HD;   Device: 3DCRT Sponsor:   Xinhua Hospital, Shanghai Jiao Tong University School of Medicine Recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
Medulloblastoma (MB) is the most common malignant brain tumor in children. Current problems in the clinic include metastasis, recurrence, and treatment-related sequelae that highlight the need for targeted the...
Source: Cell Communication and Signaling - Category: Molecular Biology Authors: Tags: Short report Source Type: research
ConclusionThe original diagnostic tool gave modest accuracy when tested prospectively on multicentre data. Increasing the dataset provided a diagnostic tool based on MR spectroscopy peak height measurement with high levels of accuracy for multicentre data.
Source: Pediatric Radiology - Category: Radiology Source Type: research
Condition:   Medulloblastoma Interventions:   Device: Tomotherapy HD;   Device: 3DCRT Sponsor:   Xinhua Hospital, Shanghai Jiao Tong University School of Medicine Recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
Saumya Jakati, Rani Y Jyotsna, AK Purohit, Challa SundaramNeurology India 2018 66(5):1517-1518
Source: Neurology India - Category: Neurology Authors: Source Type: research
ConclusionsThe use of electrons to treat the craniospinal axis in children with medulloblastoma resulted in no significant difference in spine growth compared with the predicted spine growth on the basis of previously published models using photons, but with a clinically insignificant faster spine growth rate in the anterior lumbar spine.
Source: Practical Radiation Oncology - Category: Cancer & Oncology Source Type: research
(St. Jude Children's Research Hospital) The research will not only aid basic understanding of brain development, but also provide a foundation for understanding the cellular origins of brain disorders caused by errors in development. These anatomical defects include Joubert syndrome, Dandy-Walker malformation and pontocerebellar hypoplasia. The database will enable future studies tracing the cellular origins of childhood brain tumors such as medulloblastoma, astrocytoma and ependymoma.Researchers worldwide can interact with the data via an interface St. Jude has created called Cell Seek.
Source: EurekAlert! - Biology - Category: Biology Source Type: news
Source: ScienceNOW - Category: Science Authors: Tags: twis Source Type: news
Publication date: 10 September 2018Source: Cancer Cell, Volume 34, Issue 3Author(s): Antoine Forget, Loredana Martignetti, Stéphanie Puget, Laurence Calzone, Sebastian Brabetz, Daniel Picard, Arnau Montagud, Stéphane Liva, Alexandre Sta, Florent Dingli, Guillaume Arras, Jaime Rivera, Damarys Loew, Aurore Besnard, Joëlle Lacombe, Mélanie Pagès, Pascale Varlet, Christelle Dufour, Hua Yu, Audrey L. MercierSummaryThe current consensus recognizes four main medulloblastoma subgroups (wingless, Sonic hedgehog, group 3 and group 4). While medulloblastoma subgroups have been characterized extensivel...
Source: Cancer Cell - Category: Cancer & Oncology Source Type: research
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