関連する実験動画

Updated: Aug 17, 2025

Implementation of Minimally Invasive Brain Tumor Resection in Rodents for High Viability Tissue Collection
08:23

Implementation of Minimally Invasive Brain Tumor Resection in Rodents for High Viability Tissue Collection

Published on: May 9, 2022

4.5K

主要脳腫瘍の手術切除に関する推薦における人種差異:レジストリベースのコホート分析

John T Butterfield1, Sina Golzarian2, Reid Johnson2

  • 1Center for Skull Base and Pituitary Surgery, University of Minnesota, Minneapolis, MN, USA; Department of Neurosurgery, University of Minnesota, Minneapolis, MN, USA.

Lancet (London, England)
|December 12, 2022
PubMed
まとめ

黒人の患者は 臨床的要因に関係なく 主要な脳腫瘍の切除を 推奨しない可能性が高くなります 神経外科の推薦における これらの人種的格差は 持続しており 公平な治療の必要性を強調しています

さらに関連する動画

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

3.7K
Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

45.7K

関連する概念動画

Psychosurgery01:30

Psychosurgery

Psychosurgery, the surgical alteration or permanent removal of brain tissue to alleviate severe psychological conditions, stands as one of the most radical and controversial treatments in the history of mental health care. Its development and application have evolved significantly, marked by dramatic shifts in scientific understanding and ethical perspectives.
Historical Development of Psychosurgery
In the 1930s, Portuguese neurologist Antonio Egas Moniz introduced a surgical procedure designed...
95
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
490