共聚焦激光内镜显微镜诊断喉咽鳞状细胞癌的分类和评分系统验证数据集

数据集获取（Figshare）

• 源站标题：Validation of a classification and scoring system for the diagnosis of laryngeal and pharyngeal squamous cell carcinomas by confocal laser endomicroscopy
• DOI：10.6084/m9.figshare.21936750.v1
• 发布日期：2023-01-21
• 文件数：3 个
• 文件总体积：1.50 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/Validation_of_a_classification_and_scoring_system_for_the_diagnosis_of_laryngeal_and_pharyngeal_squamous_cell_carcinomas_by_confocal_laser_endomicroscopy/21936750

命令行下载

curl -L -o "b2d05c8cd83d905f0754fda54d09f70689dd767d.tif" "https://ndownloader.figshare.com/files/38914785"
curl -L -o "898c43cfb730e3bb105e7cc96519f237433154fc.png" "https://ndownloader.figshare.com/files/38914788"
curl -L -o "3be3184c730bb85230436370054bf65916df94ce.jpg" "https://ndownloader.figshare.com/files/38914791"

文件清单

• b2d05c8cd83d905f0754fda54d09f70689dd767d.tif（1.19 MB）
• 898c43cfb730e3bb105e7cc96519f237433154fc.png（301.05 KB）
• 3be3184c730bb85230436370054bf65916df94ce.jpg（9.26 KB）

文件总体积 1.50 MB（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

Abstract Introduction: Confocal laser endomicroscopy is an optical imaging technique that allows in vivo, real-time, microscope-like images of the upper aerodigestive tract’s mucosa. The assessment of morphological tissue characteristics for the correct differentiation between healthy and malignant suspected mucosa requires strict evaluation criteria. Objective: This study aims to validate an eight-point score for the correct assessment of malignancy. Methods: We performed confocal laser endomicroscopy between March and October 2020 in 13 patients. 197 sequences (11.820 images) originated from the marginal area of pharyngeal and laryngeal carcinomas. Specimens were taken at corresponding locations and analyzed in H&E staining as a standard of reference. A total of six examiners evaluated the sequences based on a scoring system; they were blinded to the histopathological examination. The primary endpoints are sensitivity, specificity, and accuracy. Secondary endpoints are interrater reliability and receiver operator characteristics. Results: Healthy mucosa showed epithelium with uniform size and shape with distinct cytoplasmic membranes and regular vessel architecture. Confocal laser endomicroscopy of malignant cells demonstrated a disorganized arrangement of variable cellular morphology. We calculated an accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of 83.2%, 81.3%, 85.5%, 86.7%, and 79.7%, respectively, with a κ-value of 0.64, and an area under the curve of 0.86. Conclusion: The results confirm that this scoring system is applicable in the laryngeal and pharyngeal mucosa to classify benign and malignant tissue. A scoring system based on defined and reproducible characteristics can help translate this experimental method to broad clinical practice in head and neck diagnosis.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.21936750.v1（source: https://scielo.figshare.com/articles/dataset/Validation_of_a_classification_and_scoring_system_for_the_diagnosis_of_laryngeal_and_pharyngeal_squamous_cell_carcinomas_by_confocal_laser_endomicroscopy/21936750）。