预测经皮肾镜取石术结果的快速评分系统比较研究

数据集获取（Figshare）

• 源站标题：What is the quickest scoring system to predict percutaneous nephrolithotomy outcomes? A comparative study among S.T.O.N.E score, Guy’'s Stone Ccore and CROES nomogram
• DOI：10.6084/m9.figshare.5772309.v1
• 发布日期：2018-01-10
• 文件数：4 个
• 文件总体积：598.46 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/What_is_the_quickest_scoring_system_to_predict_percutaneous_nephrolithotomy_outcomes_A_comparative_study_among_S_T_O_N_E_score_Guy_s_Stone_Ccore_and_CROES_nomogram/5772309

命令行下载

curl -L -o "1677-5538-ibju-43-06-1102-gf01.jpg" "https://ndownloader.figshare.com/files/10179090"
curl -L -o "1677-5538-ibju-43-06-1102-gf02.jpg" "https://ndownloader.figshare.com/files/10179096"
curl -L -o "1677-5538-ibju-43-06-1102-gf03.jpg" "https://ndownloader.figshare.com/files/10179102"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/10179117"

文件清单

• 1677-5538-ibju-43-06-1102-gf01.jpg（129.27 KB）
• 1677-5538-ibju-43-06-1102-gf02.jpg（220.69 KB）
• 1677-5538-ibju-43-06-1102-gf03.jpg（242.88 KB）
• Table_1.xls（5.63 KB）

文件总体积 598.46 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 Objective: To compare the application time and the capacity of the nomograms to predict the success of Guy’'s Stone Score (GSS), S.T.O.N.E. Nephrolithometry (STONE) and Clinical Research Office of the Endourological Society nephrolithometric nomogram (CROES) of percutaneous nephrolithotomy (PCNL), evaluating the most efficient one for clinical use. Materials and Methods: We studied 48 patients who underwent PCNL by the same surgeon between 2010 and 2011. We calculated GSS, STONE and CROES based on pre-operative non-contrast computed tomography (CT) images and clinical data. A single observer, blinded to the outcomes, reviewed all images and assigned scores. We compared the application time of each nomogram. We used an analysis of variance for repeated measures and multiple comparisons by the Tukey test. We compared the area under the ROC curve (AUC) of the three nomograms two by two to determine the most predictive scoring system. Results: The immediate success rate was 66.7% and complications occurred in 16.7% of cases. The average operative time was 122 minutes. Mean application time was significantly lower for the GSS (27.5 seconds) when compared to 300.6 seconds for STONE and 213.4 seconds for CROES (p<0.001). There was no significant difference among the GSS (AUC=0.653), STONE (AUC=0.563) and CROES (AUC=0.641) in the ability to predict immediate success of PCNL. Conclusions: All three nomograms showed similar ability to predict success of PCNL, however the GSS was the quickest to be applied, what is an important issue for routine clinical use when counseling patients who are candidates to PCNL.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.5772309.v1（source: https://scielo.figshare.com/articles/dataset/What_is_the_quickest_scoring_system_to_predict_percutaneous_nephrolithotomy_outcomes_A_comparative_study_among_S_T_O_N_E_score_Guy_s_Stone_Ccore_and_CROES_nomogram/5772309）。