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首页|期刊导航|中国中西医结合影像学杂志|基于人工智能的肺磨玻璃密度结节三维测量与病理切片测量的相关性研究

基于人工智能的肺磨玻璃密度结节三维测量与病理切片测量的相关性研究

吴瑜 张莲 杨玉婵 丁晓青 张冬晴 陈永其 詹松华 张敏

中国中西医结合影像学杂志2024,Vol.22Issue(4):371-374,378,5.
中国中西医结合影像学杂志2024,Vol.22Issue(4):371-374,378,5.DOI:10.3969/j.issn.1672-0512.2024.04.001

基于人工智能的肺磨玻璃密度结节三维测量与病理切片测量的相关性研究

Correlation study of three-dimensional measurements based on artificial intelligence of pulmonary ground-glass nodule and measurements of pathologic digital sections

吴瑜 1张莲 2杨玉婵 1丁晓青 1张冬晴 1陈永其 3詹松华 1张敏1

作者信息

  • 1. 上海中医药大学附属曙光医院影像医学科,上海 201203
  • 2. 上海市嘉定区中医医院放射科,上海 201800
  • 3. 上海中医药大学附属曙光医院病理科,上海 201203
  • 折叠

摘要

Abstract

Objective:To analyze the correlation between artificial intelligence measurements,semi-automated measurements and pathologic paraffin section measurements of pulmonary ground-glass nodule(GGN).Methods:The CT and pathological sections data of 91 patients of T1a lung adenocarcinoma confirmed by operation and pathology were collected.Using artificial intelligence lung image analysis system(AILIAS)and subsolid lung lesion segmentation(SLLS)method,the average diameter and volume of GGN were measured on CT images,and the average diameter and area of GGN on pathological sections were measured.Wilcoxon signed rank test was used to compare the average diameter measured by AILIAS,SLLS method and pathological digital section,and the volume measured by AILIAS and SLLS method.The correlation between the volume measured by AILIAS and SLLS method and the area measured by pathological digital section was analyzed by Spearman correlation analysis.Results:The diameter measured by AILIAS and SLLS method was larger than the diameter measured by pathological digital section(Z=-7.310,-8.577;both P<0.001).There was no significant difference between the diameter measured by SLLS and AILIAS method(Z=-0.744,P=0.457).The volume measured by SLLS method was less than that by AILIAS method(Z=-6.218,P<0.001).There was a significant correlation between the volume measured by AILIAS and SLLS and the area measured by pathological digital section(rs=0.729,0.727;both P<0.001).Conclusions:Artificial intelligence can measure the diameter and volume of GGN in multiple dimensions,which has a good correlation and consistency with pathological section measurement.It can provide reliable data support for the diagnosis of benign and malignant GGN and the evaluation of clinical curative effect.

关键词

肺腺癌/磨玻璃密度结节/体层摄影术,X线计算机/肺结节分割/肺结节三维测量

Key words

Lung adenocarcinoma/Ground-glass nodule/Tomography,X-ray computed/Lung nodule segmentation/Lung nodule three-dimensional measurements

引用本文复制引用

吴瑜,张莲,杨玉婵,丁晓青,张冬晴,陈永其,詹松华,张敏..基于人工智能的肺磨玻璃密度结节三维测量与病理切片测量的相关性研究[J].中国中西医结合影像学杂志,2024,22(4):371-374,378,5.

基金项目

上海中医药大学附属曙光医院四明基金项目(4204). (4204)

中国中西医结合影像学杂志

OACSTPCD

1672-0512

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