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计算断层扫描平均值用于预测临床N0期肺腺癌的气腔播散情况。

Mean computed tomography value to predict spread through air spaces in clinical N0 lung adenocarcinoma.

作者信息

Yamamoto Marino, Tamura Masaya, Miyazaki Ryohei, Okada Hironobu, Wada Noriko, Toi Makoto, Murakami Ichiro

机构信息

Department of Thoracic Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan.

Department of Pathology, Kochi Medical School, Nankoku, Kochi, Japan.

出版信息

J Cardiothorac Surg. 2024 Apr 23;19(1):260. doi: 10.1186/s13019-024-02612-2.

Abstract

BACKGROUND

The aim of this study was to assess the ability of radiologic factors such as mean computed tomography (mCT) value, consolidation/tumor ratio (C/T ratio), solid tumor size, and the maximum standardized uptake (SUVmax) value by F-18 fluorodeoxyglucose positron emission tomography to predict the presence of spread through air spaces (STAS) of lung adenocarcinoma.

METHODS

A retrospective study was conducted on 118 patients those diagnosed with clinically without lymph node metastasis and having a pathological diagnosis of adenocarcinoma after undergoing surgery. Receiver operating characteristics (ROC) analysis was used to assess the ability to use mCT value, C/T ratio, tumor size, and SUVmax value to predict STAS. Univariate and multiple logistic regression analyses were performed to determine the independent variables for the prediction of STAS.

RESULTS

Forty-one lesions (34.7%) were positive for STAS and 77 lesions were negative for STAS. The STAS positive group was strongly associated with a high mCT value, high C/T ratio, large solid tumor size, large tumor size and high SUVmax value. The mCT values were - 324.9 ± 19.3 HU for STAS negative group and - 173.0 ± 26.3 HU for STAS positive group (p < 0.0001). The ROC area under the curve of the mCT value was the highest (0.738), followed by SUVmax value (0.720), C/T ratio (0.665), solid tumor size (0.649). Multiple logistic regression analyses using the preoperatively determined variables revealed that mCT value (p = 0.015) was independent predictive factors of predicting STAS. The maximum sensitivity and specificity were obtained at a cutoff value of - 251.8 HU.

CONCLUSIONS

The evaluation of mCT value has a possibility to predict STAS and may potentially contribute to the selection of suitable treatment strategies.

摘要

背景

本研究的目的是评估诸如平均计算机断层扫描(mCT)值、实变/肿瘤比率(C/T比率)、实性肿瘤大小以及F-18氟脱氧葡萄糖正电子发射断层扫描的最大标准化摄取值(SUVmax)等放射学因素预测肺腺癌气腔播散(STAS)的能力。

方法

对118例临床诊断无淋巴结转移且术后病理诊断为腺癌的患者进行回顾性研究。采用受试者操作特征(ROC)分析来评估使用mCT值、C/T比率、肿瘤大小和SUVmax值预测STAS的能力。进行单因素和多因素逻辑回归分析以确定预测STAS的独立变量。

结果

41个病灶(34.7%)STAS阳性,77个病灶STAS阴性。STAS阳性组与高mCT值、高C/T比率、大实性肿瘤大小、大肿瘤大小和高SUVmax值密切相关。STAS阴性组的mCT值为-324.9±19.3 HU,STAS阳性组为-173.0±26.3 HU(p<0.0001)。mCT值的曲线下ROC面积最高(0.738),其次是SUVmax值(0.720)、C/T比率(0.665)、实性肿瘤大小(0.649)。使用术前确定的变量进行多因素逻辑回归分析显示,mCT值(p=0.015)是预测STAS的独立预测因素。在临界值为-251.8 HU时获得最大敏感性和特异性。

结论

mCT值评估有可能预测STAS,并可能有助于选择合适的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf3b/11036729/e27b5fded553/13019_2024_2612_Fig1_HTML.jpg

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