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临床试验/NCT06220500
NCT06220500招募中不适用

Radiomics Analysis Based on MRI to Detect Brucella Spondylitis

The Affiliated Hospital of Inner Mongolia Medical University1 个研究点 分布在 1 个国家目标入组 100 人开始时间: 2023年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
100
试验地点
1
主要终点
The useful value of radiomics of MRI in BS clinical diagnosis.

研究概览

简要总结

Brucella spondylitis, an infectious spinal disease caused by the invasion of Brucella bacteria into the body. Its diagnosis relies mainly on laboratory and imaging tests. Due to the limited diagnostic ability of X-ray and CT for Brucella spondylitis, MRI has become the main diagnostic tool. In recent years, functional magnetic resonance technology has demonstrated great advantages in the diagnosis and therapeutic evaluation of brucellosis spondylitis, which can provide pathophysiologic information about the disease and is also a noninvasive and noninvasive diagnostic tool with a broader application prospect. Radiomics, an emerging approach, has also shown better diagnostic efficacy for this disease.

详细描述

The investigators will incorporate 100 confirmed cases of Brucella spondylitis (BS) patients diagnosed at Affiliated Hospital of Inner Mongolia Medical University. The patients receive routine scan with a Siemens Skyra 3.0T MRI scanner and the investigators collect clinical data and blood test results from the patients.The investigators segment the affected vertebral bodies by ITK-SNAP software on STIR images to create three-dimensional regions of interest. Then use Onekey software to extract radiomics features from the affected vertebral bodies. Employed t-tests and Lasso regression to select radiomics features. Then separately use radiomics features and combining it with clinical information to build random vector machine(SVM) and random forest(RF) models . All the models are constructed in the training set and their performance are evaluated on the validation set.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Prospective

入排标准

年龄范围
18 Years 至 70 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Outpatients/Inpatients
  • Age 18-70 years
  • Meet diagnostic criteria for brucellosis
  • Meet symptoms of brucellosis spondylitis
  • Voluntarily sign an informed consent form
  • Can cooperate with MRI examination

排除标准

  • Patients with serious diseases of other systems
  • History of malignant tumors of the vertebral body
  • History of tuberculosis
  • Contraindications to magnetic resonance imaging

结局指标

主要结局

The useful value of radiomics of MRI in BS clinical diagnosis.

时间窗: December 2024

The investigators will validate the results. The validation and external test cohorts will be used to evaluate the performance of the prediction models. The micro-avg and macro-avg precision, true positive (TP), true negative (TN), false positive (FP), false negative (FN), accuracy, sensitivity, specificity, and F1 score of different models will be calculated. Receiver operating characteristic (ROC) curves is going to be used to assess the sensitivity and specificity of the models, and the area under the ROC curve (AUC) was used to describe the discriminative power of the models. The investigators think radiomics of MRI can provide a reliable basis for early damage in brucellosis spondylitis and provides evidence for early clinical intervention.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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