创新性诊断模型助力区分非结核分枝杆菌肺病与肺结核（表2）

数据集获取（Figshare）

• 源站标题：Table 2_The innovative diagnostic model facilitates the differentiation between non - tuberculous mycobacterial lung disease and pulmonary tuberculosis.xlsx
• DOI：10.3389/fcimb.2025.1667339.s002
• 发布日期：2025-10-31
• 文件数：1 个
• 文件总体积：23.88 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_2_The_innovative_diagnostic_model_facilitates_the_differentiation_between_non_-_tuberculous_mycobacterial_lung_disease_and_pulmonary_tuberculosis_xlsx/30498191

命令行下载

curl -L -o "Table 2_The innovative diagnostic model facilitates the differentiation between non - tuberculous mycobacterial lung disease and pulmonary tuberculosi.xlsx" "https://ndownloader.figshare.com/files/59201108"

文件清单

• Table 2_The innovative diagnostic model facilitates the differentiation between non - tuberculous mycobacterial lung disease and pulmonary tuberculosi.xlsx（23.88 KB）

文件总体积 23.88 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

ObjectivesTo construct a differential diagnostic model for Non-Tuberculous Mycobacterial Lung Disease (NTM-LD) and Pulmonary Tuberculosis Lung Disease (PTB-LD).
MethodsRetrospective analysis of 300 NTM-LD and 300 PTB-LD patients (pathogen-confirmed) was performed. Patients were randomly split into training (2/3) and validation (1/3) sets. CT imaging, clinical data, and symptoms were analyzed. Logistic regression identified significant discriminative features, followed by random forest modeling to develop a diagnostic tool with web-based calculator. Model performance was validated using the independent validation set.
ResultsUnivariate and multivariate analyses identified key discriminative factors (PThe model constructed based on patients’ CT imaging, basic clinical data, and symptomatic signs demonstrates commendable performance in the differential diagnosis of NTM-LD and PTB-LD, offering a convenient and practical auxiliary tool for clinical practice.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcimb.2025.1667339.s002（source: https://frontiersin.figshare.com/articles/dataset/Table_2_The_innovative_diagnostic_model_facilitates_the_differentiation_between_non_-_tuberculous_mycobacterial_lung_disease_and_pulmonary_tuberculosis_xlsx/30498191）。