诊断性唾液腺内镜的学习进展

数据集获取（Figshare）

• 源站标题：The learning progression of diagnostic sialendoscopy
• DOI：10.6084/m9.figshare.20014514.v1
• 发布日期：2022-06-07
• 文件数：16 个
• 文件总体积：162.13 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/The_learning_progression_of_diagnostic_sialendoscopy/20014514

命令行下载

curl -L -o "93703e73f86d0ae0e7703eede58ca36857ae58f4.jpg" "https://ndownloader.figshare.com/files/35667764"
curl -L -o "759790f72ed0c0423695e8c6632178e9be3e0d1d.jpg" "https://ndownloader.figshare.com/files/35667767"
curl -L -o "8cbec07a3dbb032c2a04374f3a65842152496f65.jpg" "https://ndownloader.figshare.com/files/35667770"
curl -L -o "75770c150c9cc0f1227d835a1dcffe148877cc52.jpg" "https://ndownloader.figshare.com/files/35667773"
curl -L -o "74cd39d793850546c5bb4104b32ddfe7409648a5.jpg" "https://ndownloader.figshare.com/files/35667776"
curl -L -o "93703e73f86d0ae0e7703eede58ca36857ae58f4.jpg" "https://ndownloader.figshare.com/files/35667779"
curl -L -o "759790f72ed0c0423695e8c6632178e9be3e0d1d.jpg" "https://ndownloader.figshare.com/files/35667782"
curl -L -o "93f8637f9aa722549da992e251272f1357548405.jpg" "https://ndownloader.figshare.com/files/35667785"

文件清单

• 93703e73f86d0ae0e7703eede58ca36857ae58f4.jpg（20.64 KB）
• 759790f72ed0c0423695e8c6632178e9be3e0d1d.jpg（11.65 KB）
• 8cbec07a3dbb032c2a04374f3a65842152496f65.jpg（16.86 KB）
• 75770c150c9cc0f1227d835a1dcffe148877cc52.jpg（7.40 KB）
• 74cd39d793850546c5bb4104b32ddfe7409648a5.jpg（10.12 KB）
• 93703e73f86d0ae0e7703eede58ca36857ae58f4.jpg（20.64 KB）
• 759790f72ed0c0423695e8c6632178e9be3e0d1d.jpg（11.65 KB）
• 93f8637f9aa722549da992e251272f1357548405.jpg（13.62 KB）
• 1dcbc2688725ec8b7be17df42b86e1f9fb0188ac.jpg（6.18 KB）
• 31d6453e8a6e37ca288b9b3e98f0b9875d7ced34.jpg（9.56 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（5.63 KB）
• Table_5.xls（5.63 KB）
• Table_6.xls（5.63 KB）

文件总体积 162.13 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

ABSTRACT INTRODUCTION: Sialendoscopy is becoming the gold standard procedure for diagnosis and treatment of Salivary Gland Inflammatory Diseases. OBJECTIVE: To evaluate the learning progression of a single surgeon to implement and perform diagnostic sialendoscopy: to estimate how many procedures were necessary to achieve better results; if it was higher rate of complications in the beginning. METHODS: Retrospective analysis involving 113 consecutive sialendoscopies performed from 2010 to 2013. According to a descriptive analysis of the factors related to surgeon’'s experience, the casuistic was divided into two groups: group (A) comprising the first 50 exams, and group (B) the last 63. Groups were then compared concerning demographic and peri-operative aspects. RESULTS: In Group A, failure to catheterize papilla were 22% versus 3% in B (p = 0.001). Failure to complete examination was 30% in group A versus 6% in B (p = 0.001), and necessity to repeat exams was 22% in group A versus 10% in B (p = 0.058). The complication rates were 18% in group A, and 10% in B (p = 0.149). Operative time was slightly shorter in group B (56 versus 41 min, p = 0.045). CONCLUSION: We found better outcomes after the first 50 diagnostic sialendoscopies. Complication rates were statistically the same between early and late groups of experience with sialendoscopy.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.20014514.v1（source: https://scielo.figshare.com/articles/dataset/The_learning_progression_of_diagnostic_sialendoscopy/20014514）。