[1]牛树国,周福兴,颜克松,等.不同CT阈值下实性成分占比对小肺癌浸润性预测的影响[J].中国医学物理学杂志,2024,41(3):323-326.[doi:DOI:10.3969/j.issn.1005-202X.2024.03.009]
　NIU Shuguo,ZHOU Fuxing,YAN Kesong,et al.Predictive value of consolidation/tumor ratio at different CT thresholds for invasiveness in small lung cancer[J].Chinese Journal of Medical Physics,2024,41(3):323-326.[doi:DOI:10.3969/j.issn.1005-202X.2024.03.009]
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不同CT阈值下实性成分占比对小肺癌浸润性预测的影响()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
41卷
期数:
2024年第3期
页码:
323-326
栏目:
医学影像物理
出版日期:
2024-03-27

文章信息/Info

Title:
Predictive value of consolidation/tumor ratio at different CT thresholds for invasiveness in small lung cancer
文章编号:
1005-202X（2024）03-0323-04
作者:
牛树国1; 周福兴1; 颜克松2; 赵润生1; 刘彬彬3; 柴文晓2
1.武威市中医医院放射科， 甘肃 武威 733000； 2.甘肃省人民医院肿瘤介入科， 甘肃 兰州 730000； 3.武威市中医医院病理科， 甘肃 武威 733000
Author(s):
NIU Shuguo1;  ZHOU Fuxing1;  YAN Kesong2;  ZHAO Runsheng1;  LIU Binbin3;  CHAI Wenxiao2
1. Department of Radiology, Wuwei Hospital of Traditional Chinese Medicine, Wuwei 733000, China 2. Department of Tumor Intervention, Gansu Provincial Hospital, Lanzhou 730000, China 3. Department of Pathology, Wuwei Hospital of Traditional Chinese Medicine, Wuwei 733000, China
关键词:
肺结节; 肺癌; CT阈值; 实性成分占比; 人工智能
Keywords:
Keywords: lung nodule lung cancer CT threshold consolidation/tumor ratio artificial intelligence
分类号:
R734.2；R816.4
DOI:
DOI:10.3969/j.issn.1005-202X.2024.03.009
文献标志码:
A
摘要:
目的：利用人工智能辅助测量，比较在不同CT阈值下测得的肿瘤实性成分占比（CTR）对≤2 cm小肺癌浸润性预测的准确率，探讨预测肺癌浸润性的CTR阈值及对应的CT阈值。方法：收集2021年1月至2023年5月武威市中医医院就诊的59例肺癌患者（共78个肺结节）的临床资料，分析在CT阈值分别为-400、-350、-300、-250、-200、-150 HU时测得的CTR对直径≤2 cm小肺癌浸润性的预测效能，绘制ROC曲线判断预测浸润性的最佳临界值，以确定相应的CT阈值。结果：CT阈值为-250 HU时，对肺结节浸润性的诊断效能最高，曲线下面积为0.931，灵敏度为77.5%，特异度为100%，最佳CTR阈值为0.322。结论：对于最大径≤2 cm的小肺癌，当CT阈值为-250 HU时测得的CTR可较准确地预测肺癌的浸润性，当CTR>0.322时结节为微浸润腺癌或浸润性腺癌可能性较大。
Abstract:
Abstract: Objective To compare the accuracy of consolidation/tumor ratio (CTR) measured at different CT thresholds for the prediction of invasiveness in small lung cancer with diameter ≤ 2 cm using artificial intelligence-assisted measurements, and to explore the CTR thresholds and the corresponding CT thresholds for predicting lung cancer invasiveness. Methods Clinical data from 59 lung cancer patients (78 lung nodules in total) treated at Wuwei Hospital of Traditional Chinese Medicine from January 2021 to May 2023 were collected to analyze the prediction efficacy of CTR on invasiveness in small lung cancer with diameter ≤ 2 cm measured at CT thresholds of -400, -350, -300, -250, -200, -150 HU. ROC curves were plotted to determine the optimal critical value for invasiveness prediction, followed by the corresponding CT threshold. Results The highest diagnostic efficacy for the invasiveness of lung nodules was achieved at a CT threshold of -250 HU, with an area under the curve of 0.931, sensitivity of 77.5%, specificity of 100%, and an optimal CTR threshold of 0.322. Conclusion For small lung cancers with a maximum diameter ≤ 2 cm, CTR measured at a CT threshold of -250 HU can accurately predict lung cancer invasiveness. At CTR > 0.322, the nodule is more likely to be microinvasive or invasive adenocarcinoma.

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备注/Memo

备注/Memo:
【收稿日期】2023-11-03 【基金项目】甘肃省自然科学基金（22JR5RA687）；武威市科技计划项目（WW2101168） 【作者简介】牛树国，硕士，主治医师，研究方向：影像诊断与介入治疗，E-mail: nsg90230@163.com 【通信作者】柴文晓，硕士，主任医师，研究方向：肿瘤介入治疗，E-mail: chaiwenxiao@126.com
更新日期/Last Update: 2024-03-27