巴西乳腺癌晚期诊断：基于医院癌症登记处数据的分析（2000-2012）

数据集获取（Figshare）

• 源站标题：Late-Stage Diagnosis of Breast Cancer in Brazil: Analysis of Data from Hospital-Based Cancer Registries (2000-2012)
• DOI：10.6084/m9.figshare.6502901.v1
• 发布日期：2018-06-13
• 文件数：5 个
• 文件总体积：55.72 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Late-Stage_Diagnosis_of_Breast_Cancer_in_Brazil_Analysis_of_Data_from_Hospital-Based_Cancer_Registries_2000-2012_/6502901

命令行下载

curl -L -o "0100-7203-rbgo-40-03-00127-gf1.jpg" "https://ndownloader.figshare.com/files/11953199"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/11953205"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/11953214"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/11953220"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/11953226"

文件清单

• 0100-7203-rbgo-40-03-00127-gf1.jpg（20.91 KB）
• Table_1.xls（9.73 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（9.73 KB）
• Table_4.xls（9.73 KB）

文件总体积 55.72 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 analyze the time trend and the factors regarding the diagnosis of latestage breast cancer in Brazil from 2000 to 2012. Methods We conducted a retrospective cohort study using data from hospital-based cancer registries. Joinpoint regression was used to analyze the time trends of stage at diagnosis. The risk of late-stage presentation was estimated using multinomial logistic regression. Results A total of 170,757 cases were analyzed. The median time from diagnosis to treatment was of 43 days (range: 0-182 days). The percentage of cases with late-stage diagnosis decreased from2000 to 2002, with an annual percent change (APC) of -6.6%(95%confidence interval [95%CI]: -7.65.5%); it increased from 2002 until 2009, with an APC of 1.1% (95% CI: 0.9-1.3%), and remained stable up to 2012.Women with college education (compared with illiterate women) had less chance of having a late-stage diagnosis (odds ratio [OR]: 0.32; 95%CI: 0.29-0.35). The odds were greater among brown women (OR: 1.30; 95%CI: 1.21-1.41) and black women (OR: 1.63; 95%CI: 1.47-1.82), compared with white women. The odds were also higher for women treated in facilities located and in the Northern region of Brazil (OR: 1.23; 95%CI: 1.04-1.45) and in the Midwest (OR: 1.61;95%CI: 1.34-1.94), compared with those treated in the southern region of the country. Age, histological type, and marital status were some of the other factors that were positively related to staging at the diagnosis. Conclusion Access to diagnosis of breast cancer is uneven in Brazil, and women with lower socioeconomic status present a greater probability of having an advanced stage at diagnosis.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.6502901.v1（source: https://scielo.figshare.com/articles/dataset/Late-Stage_Diagnosis_of_Breast_Cancer_in_Brazil_Analysis_of_Data_from_Hospital-Based_Cancer_Registries_2000-2012_/6502901）。