非转移性结直肠癌预后预测列线图验证数据集

数据集获取（Figshare）

• 源站标题：Table 2_Validated nomograms for non-metastatic colorectal cancer prognosis prediction: a population-based study.docx
• DOI：10.3389/fonc.2025.1691693.s002
• 发布日期：2025-10-24
• 文件数：1 个
• 文件总体积：20.56 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_2_Validated_nomograms_for_non-metastatic_colorectal_cancer_prognosis_prediction_a_population-based_study_docx/30435424

命令行下载

curl -L -o "Table 2_Validated nomograms for non-metastatic colorectal cancer prognosis prediction: a population-based study.docx" "https://ndownloader.figshare.com/files/59004235"

文件清单

• Table 2_Validated nomograms for non-metastatic colorectal cancer prognosis prediction: a population-based study.docx（20.56 KB）

文件总体积 20.56 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

IntroductionThe TNM staging system has limitations in predicting prognosis for colorectal cancer (CRC). This study aimed to develop and validate a nomogram incorporating the albumin-derived neutrophil-to-lymphocyte ratio (Alb-dNLR) score, a novel nutritional and inflammatory biomarker, to provide a more accurate and personalized prognostic prediction for patients with non-metastatic CRC.
MethodsThis retrospective study included a development cohort of 457 non-metastatic CRC patients who underwent radical colectomy, and an external validation cohort of 207 patients. Optimal cut-off values for continuous variables were determined by ROC curve analysis. Multivariable Cox and LASSO regression models were used to identify independent prognostic factors for cancer-specific survival (CSS) and to construct two nomograms. The performance of the nomograms was assessed by C-indexes, calibration plots, and decision curve analysis (DCA).
ResultsMultivariable analysis confirmed that a high Alb-dNLR score was an independent predictor for worse cancer-specific survival (CSS) (HR = 5.536, P The Alb-dNLR score is a simple and effective independent prognostic biomarker for non-metastatic CRC. The nomograms incorporating Alb-dNLR score provide a more accurate and practical tool than the TNM system for predicting patient survival, thereby facilitating personalized clinical decision-making.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2025.1691693.s002（source: https://frontiersin.figshare.com/articles/dataset/Table_2_Validated_nomograms_for_non-metastatic_colorectal_cancer_prognosis_prediction_a_population-based_study_docx/30435424）。