Filtered By:
Cancer: Breast Cancer

This page shows you your search results in order of relevance.

Order by Relevance | Date

Total 60774 results found since Jan 2013.

US Food and Drug Administration regulatory updates in neuro-oncology
ConclusionsDespite the challenges of the past year brought on by the COVID-19 pandemic, progress continues to be made in neuro-oncology. These include first-of-their-kind FDA approvals and Guidances that are relevant to the management of patients with nervous system tumors.
Source: Journal of Neuro-Oncology - June 22, 2021 Category: Cancer & Oncology Source Type: research

Brain Metastases In Ovarian Cancer- A Comprehensive Review (P7.254)
CONCLUSIONS:Ovarian cancer is a rare cause of brain metastasis. Development of brain metastasis among older patients and lower KPS score correlate with less favorable prognosis. The more prolonged survival after using multimodality treatment for brain metastasis is important information that can potentially impact the management of such brain metastasis in future.Study Supported by: no supportDisclosure: Dr. Pakneshan has nothing to disclose. Dr. Safarpour has nothing to disclose. Dr. Tavassoli has nothing to disclose. Dr. Jabbari has received research support from Allergan Inc., Merz Pharma, and Ipsen.
Source: Neurology - April 9, 2014 Category: Neurology Authors: Pakneshan, S., Safarpour, D., Tavassoli, F., Jabbari, B. Tags: Neuro-oncology: CNS Metastases and Complications of Treatment Source Type: research

Brain Tumor Detection Using Depth-First Search Tree Segmentation
AbstractWith the advent of image processing technologies, the in-depth portion of human body can be epitomized visually to perceive abnormalities in human anatomy. Image processing is a tool for identifying the substances and obtaining information from them. Medical image processing is a stimulating area to diagnose diseases specifically, brain cancer, breast cancer, liver cancer, neuro- and cardio-diseases, etc. Image segmentation is an act of segregating the images into various parts to identify a particular substance and its margins. Brain tumor is the irregular and intense growth of tissues causing cancer. The most use...
Source: Journal of Medical Systems - June 27, 2019 Category: Information Technology Source Type: research

Barriers and potential solutions to international collaboration in neuro-oncology clinical trials: Challenges from the Australian perspective
CONCLUSIONS: Participation in international research in Australia could be improved by embedding clinical research targets into institutional funding, provision of funding for early phase studies and streamlining mutual ethics schemes.PMID:34166569 | DOI:10.1111/ajco.13606
Source: Clinical Breast Cancer - June 24, 2021 Category: Cancer & Oncology Authors: Benjamin Y Kong Candace Carter Anna K Nowak Elizabeth Hovey Zarnie Lwin Neda Haghighi Hui K Gan Hao-Wen Sim David S Ziegler Kirston Barton Jonathon Parkinson Robyn Leonard Mustafa Khasraw Matthew Foote Source Type: research

Neuro-immune interactions in paclitaxel-induced peripheral neuropathy
CONCLUSION: Immune-related processes are an important mechanism contributing to PIPN. Studies in humans that validate these mechanistic data are highly needed to facilitate the development of therapeutic strategies.PMID:34313190 | DOI:10.1080/0284186X.2021.1954241
Source: Acta Oncologica - July 27, 2021 Category: Cancer & Oncology Authors: Cornelia J C Vermeer Anouk E Hiensch Laurence Cleenewerk Anne M May Niels Eijkelkamp Source Type: research

Cognitive Impairment Associated with Cancer: A Brief Review
CONCLUSION Cognitive impairment can affect daily functioning, quality of life, and capacity to work in patients with cancer and those in remission. Consequently, cognitive assessment is now an important and necessary part of a comprehensive oncological care plan. Cancer-related cognitive impairment might be due to the direct effects of the cancer itself, nonspecific factors, or comorbid conditions that are independent of the disease and/or due to the adverse effects of the treatment or combination of treatments given for the disease. The prevalence and extent of cognitive impairment associated with cancer is recognized but...
Source: Innovations in Clinical Neuroscience - February 1, 2018 Category: Neuroscience Authors: ICN Online Editor Tags: Cognition Current Issue Neuro oncology Neurology Review cancer chemotherapy cognitive impairment neuropsychological assessment treatment Source Type: research

Treatment of pain following cancer: applying neuro-immunology in rehabilitation practice.
CONCLUSIONS: Neuro-immunology has increased our understanding of pain and can benefit conservative pain treatment for adults following cancer treatment. Implications for Rehabilitation Pain education is effective for improving cancer pain; implementation of contemporary pain neuroscience into the educational programme seems warranted. Various types of stress management are effective for treating patients following cancer treatment. Poor sleep is common in patients following cancer treatment, and rehabilitation specialists can address this by providing exercise therapy, sleep hygiene, and/or cognitive behavioural therapy. E...
Source: Disability and Rehabilitation - December 14, 2016 Category: Rehabilitation Authors: Nijs J, Leysen L, Pas R, Adriaenssens N, Meeus M, Hoelen W, Ickmans K, Moloney N Tags: Disabil Rehabil Source Type: research

Erythroblastic oncogene B-2 status and intracranial metastatic disease in patients with gastrointestinal cancer: a systematic review
ConclusionsIn this systematic review, patients with ERBB2+  GI cancer were more likely to develop IMD. Future study is required on the prognostic and predictive value of ERBB2 status in patients with GI cancers.
Source: Journal of Neuro-Oncology - November 13, 2022 Category: Cancer & Oncology Source Type: research

Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data
CONCLUSIONS: Our results show that deep learning with grid search overall performs at least as well as other machine learning methods when using non-image clinical data. It is interesting to note that some of the other machine learning methods, such as XGB, RF, and SVM, are very strong competitors of DFNN when incorporating grid search. It is also worth noting that the computation time required to do grid search with DFNN is much more than that required to do grid search with the other nine machine learning methods.PMID:36233640 | DOI:10.3390/jcm11195772
Source: Clinical Breast Cancer - October 14, 2022 Category: Cancer & Oncology Authors: Xia Jiang Chuhan Xu Source Type: research