Table_1 定量SPECT/CT骨骼标准化摄取值用于检测肺腺癌患者骨转移

数据集获取（Figshare）

• 源站标题：Table_1_Skeletal standardized uptake values obtained using quantitative SPECT/CT for the detection of bone metastases in patients with lung adenocarcinoma.DOCX
• DOI：10.3389/fmed.2023.1119214.s001
• 发布日期：2023-02-02
• 文件数：1 个
• 文件总体积：16.24 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Skeletal_standardized_uptake_values_obtained_using_quantitative_SPECT_CT_for_the_detection_of_bone_metastases_in_patients_with_lung_adenocarcinoma_DOCX/21993593

命令行下载

curl -L -o "Table_1_Skeletal standardized uptake values obtained using quantitative SPECT/CT for the detection of bone metastases in patients with lung adenocarci.DOCX" "https://ndownloader.figshare.com/files/39036185"

文件清单

• Table_1_Skeletal standardized uptake values obtained using quantitative SPECT/CT for the detection of bone metastases in patients with lung adenocarci.DOCX（16.24 KB）

文件总体积 16.24 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

PurposeTo assess the utility of skeletal standardized uptake values (SUVs) obtained using quantitative single-photon emission computed tomography/computed tomography (SPECT/CT) in differentiating bone metastases from benign lesions, particularly in patients with lung adenocarcinoma.
MethodsPatients with lung adenocarcinoma who had undergone whole-body Tc-99m methyl-diphosphonate (99mTc-MDP) bone scans and received late phase SPECT/CT were retrospectively analyzed in this study. The maximum SUV (SUVmax); Hounsfield units (HUs); and volumes of osteoblastic, osteolytic, mixed, CT-negative metastatic and benign bone lesions, and normal vertebrae were compared. Receiver operating characteristic curves were used to determine the optimal cutoff SUVmax between metastatic and benign lesions as well as the cutoff SUVmax between CT-negative metastatic lesions and normal vertebrae. The linear correlation between SUVmax and HUs of metastatic lesions as well as that between SUVmax and the volume of all bone lesions were investigated.
ResultsA total of 252 bone metastatic lesions, 140 benign bone lesions, and 199 normal vertebrae from 115 patients with lung adenocarcinoma were studied (48 males, 67 females, median age: 59 years). Metastatic lesions had a significantly higher SUVmax (23.85 ± 14.34) than benign lesions (9.67 ± 7.47) and normal vertebrae (6.19 ± 1.46; P SUVmax of quantitative SPECT/CT is a useful index for distinguishing benign bone lesions from bone metastases in patients with lung adenocarcinoma, particularly in the diagnosis of CT-negative bone metastases, but other factors that may affect SUVmax should be considered.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmed.2023.1119214.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Skeletal_standardized_uptake_values_obtained_using_quantitative_SPECT_CT_for_the_detection_of_bone_metastases_in_patients_with_lung_adenocarcinoma_DOCX/21993593）。