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相关概念视频

Computed Tomography01:10

Computed Tomography

8.9K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Energy Bands in Solids01:01

Energy Bands in Solids

2.0K
Isolated atoms have discrete energy levels that are well described by the Bohr model. And, it quantifies the energy of an electron in a hydrogen atom as En. Higher quantum numbers 'n' yield less negative, closer electron energy levels.
 Band Formation:
When atoms are brought close together, as in a solid, these discrete energy levels begin to split due to the overlap of electron orbitals from adjacent atoms. This split occurs because of the Pauli exclusion principle, which states...
2.0K
Calculation of Volume of Solids by Integration01:27

Calculation of Volume of Solids by Integration

125
Volume calculation often begins with simple geometric solids. For example, the volume of a rectangular box is obtained by multiplying the area of its base by its height. This straightforward approach relies on the fact that the cross-sectional area of the box remains constant throughout its length. Many real-world objects, however, do not have uniform cross-sections, and their volumes cannot be determined using elementary geometric formulas.To address this limitation, the Slicing Method...
125
Dual Nature of Electromagnetic (EM) Radiation01:10

Dual Nature of Electromagnetic (EM) Radiation

4.0K
Electromagnetic (EM) radiation consists of electric and magnetic field components oscillating in planes perpendicular to each other and mutually perpendicular to radiation propagation through space. EM radiation can be classified as a wave, characterized by the properties of waves such as wavelength (denoted as λ) and frequency (represented by ν).
Wavelength is the distance between two consecutive peaks (the highest point) or troughs (the lowest point) in the wave. Frequency is the number of...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

406
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
406
Elastic Strain Energy for Normal Stresses01:22

Elastic Strain Energy for Normal Stresses

619
Strain energy quantifies the energy stored within a material due to deformation under loading conditions, a fundamental concept in materials science and engineering. The strain energy can be modeled when a material is subjected to axial loading with uniformly distributed stress. In this scenario, the stress experienced by the material is the internal force divided by the cross-sectional area, and the strain induced is directly proportional to this stress through the modulus of elasticity.
If...
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相关实验视频

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Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
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优化双源双能计算断层扫描 nomogram 模型 整合背景正常化 改善固体甲状腺结节 诊断

Qian Wang1,2, Yi Xin1,2, Yongli Feng1,2

  • 1Department of Radiology, The First People's Hospital of Lianyungang, Lianyungang, China.

Gland surgery
|February 11, 2026
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概括

双源双能量计算机断层扫描 (DS-DECT) 视图有效地使用定量和定性成像特征预测恶性甲状腺结节. 这种工具有助于医生区分良性和恶性结节,改善患者管理.

关键词:
甲状腺结节 甲状腺结节双能计算断层扫描 (DECT) 是一种双能计算断层扫描.这个名字是名ogramogram.

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科学领域:

  • 放射学 放射学是一门学科.
  • 在瘤学瘤学.
  • 医疗成像医学成像

背景情况:

  • 准确的甲状腺结节的术前诊断对于个性化治疗至关重要.
  • 区分良性和恶性结节会影响患者的治疗策略.

研究的目的:

  • 开发一种基于双源双能计算断层扫描 (DS-DECT) 的名录模型.
  • 预测甲状腺结节中恶性瘤的风险.

主要方法:

  • 总共包括263名患有288个甲状腺结节的患者.
  • 分析了放射性特征和DS-DECT定量参数.
  • 使用后勤回归构建了一个名图,并在内部验证.

主要成果:

  • 恶性瘤的独立预测因素包括度,正常度,有效原子数,甲状腺边缘中断和增强模糊.
  • 诺米图实现了高诊断性能,AUC为0.932 (训练) 和0.908 (验证).
  • 该模型表现出良好的适应性和校准性,通过决策曲线分析表明具有显著的临床实用性.

结论:

  • 开发的诺米图是区分良性和恶性甲状腺结节的有效工具.
  • 它集成了多相定量DS-DECT参数和定性成像特征.
  • 该模型支持影像医生在手术前诊断和患者管理.