前列腺切除术组织质量评估E-Finger数据集

数据集获取（Figshare）

• 源站标题：Tissue Quality Assessment Using a Novel Direct Elasticity Assessment Device (The E-Finger): A Cadaveric Study of Prostatectomy Dissection
• DOI：10.1371/journal.pone.0112872
• 发布日期：2014-11-10
• 文件数：2 个
• 文件总体积：78.34 KB
• 源站页面：https://plos.figshare.com/articles/dataset/_Tissue_Quality_Assessment_Using_a_Novel_Direct_Elasticity_Assessment_Device_The_E_Finger_A_Cadaveric_Study_of_Prostatectomy_Dissection_/1234619

命令行下载

curl -L -o "Data_S1.xls" "https://ndownloader.figshare.com/files/1786182"
curl -L -o "Data_S2.xls" "https://ndownloader.figshare.com/files/1786183"

文件清单

• Data_S1.xls（43.52 KB）
• Data_S2.xls（34.82 KB）

文件总体积 78.34 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

Introduction
Minimally invasive radical prostatectomy (RP) (robotic and laparoscopic), have brought improvements in the outcomes of RP due to improved views and increased degrees of freedom of surgical devices. Robotic and laparoscopic surgeries do not incorporate haptic feedback, which may result in complications secondary to inadequate tissue dissection (causing positive surgical margins, rhabdosphincter damage, etc). We developed a micro-engineered device (6 mm2 sized) [E-finger]) capable of quantitative elasticity assessment, with amplitude ratio, mean ratio and phase lag representing this. The aim was to assess the utility of the device in differentiating peri-prostatic tissue types in order to guide prostate dissection.
Material and Methods
Two embalmed and 2 fresh frozen cadavers were used in the study. Baseline elasticity values were assessed in bladder, prostate and rhabdosphincter of pre-dissected embalmed cadavers using the micro-engineered device. A measurement grid was created to span from the bladder, across the prostate and onto the rhabdosphincter of fresh frozen cadavers to enable a systematic quantitative elasticity assessment of the entire area by 2 independent assessors. Tissue was sectioned along each row of elasticity measurement points, and stained with haematoxylin and eosin (H&E). Image analysis was performed with Image Pro Premier to determine the histology at each measurement point.
Results
Statistically significant differences in elasticity were identified between bladder, prostate and sphincter in both embalmed and fresh frozen cadavers (p = 2.
Conclusions
This cadaveric study has evaluated the ability of our elasticity assessment device to differentiate bladder, prostate and rhabdosphincter to a resolution of 6 mm2. The results provide useful data for which to continue to examine the use of elasticity assessment devices for tissue quality assessment with the aim of giving haptic feedback to surgeons performing complex surgery.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0112872（source: https://plos.figshare.com/articles/dataset/_Tissue_Quality_Assessment_Using_a_Novel_Direct_Elasticity_Assessment_Device_The_E_Finger_A_Cadaveric_Study_of_Prostatectomy_Dissection_/1234619）。