影响经皮肾镜取石术中透视时间的因素：肾收集系统中结石体积分布的影响

数据集获取（Figshare）

• 源站标题：Factors affecting fluoroscopy time during percutaneous nephrolithotomy: Impact of stone volume distribution in renal collecting system
• DOI：10.6084/m9.figshare.11452485.v1
• 发布日期：2019-12-25
• 文件数：5 个
• 文件总体积：608.44 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Factors_affecting_fluoroscopy_time_during_percutaneous_nephrolithotomy_Impact_of_stone_volume_distribution_in_renal_collecting_system/11452485

命令行下载

curl -L -o "1677-6119-ibju-45-06-1153-gf01.jpg" "https://ndownloader.figshare.com/files/20434638"
curl -L -o "1677-6119-ibju-45-06-1153-gf02.jpg" "https://ndownloader.figshare.com/files/20434641"
curl -L -o "1677-6119-ibju-45-06-1153-gf03.jpg" "https://ndownloader.figshare.com/files/20434647"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/20434653"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/20434659"

文件清单

• 1677-6119-ibju-45-06-1153-gf01.jpg（274.95 KB）
• 1677-6119-ibju-45-06-1153-gf02.jpg（116.42 KB）
• 1677-6119-ibju-45-06-1153-gf03.jpg（201.71 KB）
• Table_1.xls（9.73 KB）
• Table_2.xls（5.63 KB）

文件总体积 608.44 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 Purpose: To identify the factors increased fluoroscopy time during percutaneous nephrolithotomy and investigate the relationship between the 3D segmentation volume ratio of stone to renal collecting system and fluoroscopy time. Materials and Methods: Data from 102 patients who underwent percutaneous nephrolithotomy were analyzed retrospectively. Volume segmentation of both the renal collecting system and stones were obtained from 3D segmentation software with the images on CT data. Analyzed stone volume (ASV), renal collecting system volume (RCSV) measured and the ASV-to-RCSV ratio was calculated. Several parameters were evaluated for their predictive ability with regard to fluoroscopy time. Results: The stone-free rate was 55.9% after the percutaneous nephrolithotomy. Complications occurred in 31(30.4%) patients. The mean fluoroscopy time was 199.4±151.1 seconds. The fluoroscopy time was significantly associated with the ASV-to-RCSV ratio (p<0.001, r=0.614). The single tract was used in 77 (75.5%) cases while multiple tracts were used in 25 (24.5%) cases. Fluoroscopy time was significantly associated with multiple access (p<0.001, r=0.689). On univariate linear regression analysis, longer fluoroscopy time was related with increased stone size, increased stone volume, increased number of access, increased calyx number with stone, increased ASV-to-RCSV, increased operative time and decreased stone essence. On multivariate linear regression analysis, the number of access and the ASV-to-RCSV were independent predictors of fluoroscopy time during percutaneous nephrolithotomy. Conclusions: The distribution of the stone burden volume in the pelvicalyceal system is a significant predictor for prolonged fluoroscopy time during percutaneous nephrolithotomy. Measures to decrease FT could be beneficial in patients with a high ASV-to-RCSV ratio for precise preoperative planning.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.11452485.v1（source: https://scielo.figshare.com/articles/dataset/Factors_affecting_fluoroscopy_time_during_percutaneous_nephrolithotomy_Impact_of_stone_volume_distribution_in_renal_collecting_system/11452485）。