| dc.creator |
Sungura, Richard Erasto |
|
| dc.creator |
Mpolya, Emmanuel |
|
| dc.creator |
Spitsbergen, J. M. |
|
| dc.creator |
Onyambu, Callen Kwamboka |
|
| dc.creator |
Sauli, Elingarami |
|
| dc.creator |
John-Mary, Vianney |
|
| dc.date |
2020-08-11T08:33:38Z |
|
| dc.date |
2020-08-11T08:33:38Z |
|
| dc.date |
2020-06-22 |
|
| dc.date.accessioned |
2022-10-25T09:20:47Z |
|
| dc.date.available |
2022-10-25T09:20:47Z |
|
| dc.identifier |
https://doi.org/10.21203/rs.3.rs-34330/v1 |
|
| dc.identifier |
https://dspace.nm-aist.ac.tz/handle/20.500.12479/863 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/95238 |
|
| dc.description |
This research article published by Research Square, 2020 |
|
| dc.description |
The brain is a dynamic organ that develops and involutes in volume. The process of volume loss known as brain atrophy commonly occurs in elderly. However, some conditions have been implicated to provoke this paradoxical process in childhood and making it important to have methods and techniques of quantifying brain volume. Automated quantitative methods are very important in brain atrophy assessment but these tools have limited availability in developing countries. The simplified linear radiological methods are poorly reproducible and hence there is a need to develop an alternative formula that is reproducible and applicable at all healthcare levels. |
|
| dc.format |
application/pdf |
|
| dc.language |
en |
|
| dc.publisher |
Research Square |
|
| dc.subject |
Brain Atrophy |
|
| dc.subject |
Brain volume |
|
| dc.subject |
Neuroimaging |
|
| dc.title |
Novel Multi-Linear Quantitative Brain Volume Formula For Manual Radiological Evaluation Of Brain Atrophy |
|
| dc.type |
Article |
|