Difference between revisions of "Main Page/SlicerCommunity/2022"

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==The Relationship of LDH and Hematological Parameters with Ischemic Volume and Prognosis in Cerebrovascular Disease==  
 
==The Relationship of LDH and Hematological Parameters with Ischemic Volume and Prognosis in Cerebrovascular Disease==  
  

Revision as of 19:43, 5 January 2022

Home < Main Page < SlicerCommunity < 2022

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The community that relies on 3D Slicer is large and active: (numbers below updated on December 1st, 2023)

  • 2,147+ papers on PubMed citing the Slicer platform paper
    • Fedorov A., Beichel R., Kalpathy-Cramer J., Finet J., Fillion-Robin J-C., Pujol S., Bauer C., Jennings D., Fennessy F.M., Sonka M., Buatti J., Aylward S.R., Miller J.V., Pieper S., Kikinis R. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 2012 Nov;30(9):1323-41. PMID: 22770690. PMCID: PMC3466397.


The following is a sample of the research performed using 3D Slicer outside of the group that develops it. in 2022

We monitor PubMed and related databases to update these lists, but if you know of other research related to the Slicer community that should be included here please email: marianna (at) bwh.harvard.edu.

2022

The Relationship of LDH and Hematological Parameters with Ischemic Volume and Prognosis in Cerebrovascular Disease

Publication: J Coll Physicians Surg Pak. 2022 Jan;32(1):42-45. PMID: 34983146

Authors: Alatlı T, Kocaoglu S, Akay E.

Institution: Department of Emergency, Faculty of Medicine, Balikesir University, Balikesir, Turkey.

Abstract: Objective: To determine whether lactate dehydrogenase (LDH), platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR) values can be used as a prediction for their relationship with stroke volume (SV) and for in-hospital mortality in stroke patients in Emergency Department (ED).

Study design: Analytical study.

Place and duration of study: Balikesir University, Turkey from 24/03/2021 to 30/06/2021.

Methodology: Patients aged 18 years or older, diagnosed with stroke in ED, were included in the study. Stroke volumes were calculated from diffusion-weighted images (DWi) with 3D Slicer software using image-based semi-automatic and manual segmentation methods.

Results: Of the 265 patients, 128 (48.3%) were males. SV was significantly higher in the non-survivor group than in the survivor group (p=0.007). NLR was significantly higher in the non-survivor group than in the survivor group (p=0.018).

Conclusion: The ratios of NLR and SV stand out as practical parameters for the estimation of mortality, prognosis, and management of patients diagnosed with acute stroke. Taking into account, these parameters in the diagnosis process and prognosis management in EDs will provide convenience.