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Does Risk of Brain Cancer Increase with Intracranial Volume? A Population-Based Case-Control Study.

Artikel i vetenskaplig tidskrift
Författare Even Hovig Fyllingen
Tor Ivar Hansen
Asgeir Store Jakola
Asta Kristine Håberg
Øyvind Salvesen
Ole Solheim
Publicerad i Neuro-oncology
Volym 20
Nummer/häfte 9
Sidor 1225–1230
ISSN 1523-5866
Publiceringsår 2018
Publicerad vid Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap
Sidor 1225–1230
Språk en
Länkar dx.doi.org/10.1093/neuonc/noy043
www.ncbi.nlm.nih.gov/entrez/query.f...
Ämneskategorier Neurokirurgi, Cancer och onkologi, Neurologi

Sammanfattning

Glioma is the most common primary brain tumor and is believed to arise from glial stem cells. Despite large efforts there are limited established risk factors. It has been suggested that tissue with more stem cells may exhibit higher risk of cancer due to chance alone. Assuming a positive correlation between the number of stem cell divisions in an organ and size of the same organ, we hypothesized that variation in intracranial volume, as a proxy for brain size may be linked to risk of high-grade glioma.Intracranial volume was calculated from pre-treatment 3D T1-weighted MRI brain scans from 124 patients with high-grade glioma and 995 general population based controls. Binomial logistic regression analyses were performed to ascertain the effect of intracranial volume and sex on the likelihood that participants have high-grade glioma.An increase in intracranial volume of 100 mL was associated with an odds ratio (OR) of high-grade glioma of 1.69 (95 % CI 1.44 to 1.98; P < 0.001). After adjusting for intracranial volume, female sex emerged as a risk factor for high-grade glioma (OR for male sex = 0.56, 95 % CI 0.33 to 0.93; P = 0.026).Intracranial volume is strongly associated with risk of high-grade glioma. After correcting for intracranial volume, risk of high-grade glioma was higher in women. The development of glioma is correlated to brain size and may to a large extent be a stochastic event related to the number of cells at risk.

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