预测远处转移的肺腺癌大小:基于 CT 扫描的测量方法

Narra J Pub Date : 2024-08-01 Epub Date: 2024-08-31 DOI:10.52225/narra.v4i2.1024
Widiastuti Soewondo, Fityay Adzhani, Muchtar Hanafi, Zaka J Firdaus
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引用次数: 0

摘要

以往的研究表明,肿瘤大小与肺癌的转移和预后有关;然而,预测肺腺癌远处转移的精确临界点仍不明确。本研究旨在确定预测肺腺癌远处转移的临界点。这项横断面研究于 2022 年 1 月至 2023 年 9 月在印度尼西亚苏腊卡尔塔的莫瓦迪博士医院进行。研究采用了总体抽样方法,涉及根据肺部计算机断层扫描(CT)结果确诊为肺腺癌的18岁以上患者,这些患者尚未接受化疗,并已确诊肺部以外的转移。研究的因变量是远处转移的发生率,自变量是肺腺癌的大小。两名经验丰富的胸部放射科医生在肺窗环境下使用胸部多层计算机断层扫描(MSCT)评估最长轴,从而测量肺腺癌的大小。接收者操作特征(ROC)曲线分析确定了预测远处转移的最佳肿瘤大小临界值。在 956 例胸腔癌患者中,108 例确诊为肺腺癌。在应用纳入和排除标准后,89 名患者符合条件。在本研究中,肿瘤大小可预测68.1%的远处转移病例,临界点为7.25厘米,灵敏度为61.9%,特异度为61.5%。与较小的肿瘤相比,大于7.25厘米的肿瘤发生远处转移的风险高出2.60倍,较大的肿瘤更有可能扩散到不同部位。总之,大于7.25厘米的肺腺癌发生远处转移的风险增加了2.60倍,因此肿瘤大小是一个重要的预测因素。这项研究为放射科医生提供了宝贵的见解,通过强调肿瘤大小是肺腺癌治疗的关键因素,可以提高诊断的准确性和治疗计划的制定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lung adenocarcinoma size as a predictor of distant metastasis: A CT scan-based measurement.

Previous studies have associated tumor size with metastasis and prognosis in lung carcinoma; however, a precise cut-off for predicting distant metastasis in lung adenocarcinoma remains unclear. The aim of this study was to determine the cut-off point for predicting distant metastasis in lung adenocarcinoma. A cross-sectional study was conducted at Dr. Moewardi Hospital, Surakarta, Indonesia, from January 2022 to September 2023. Total sampling was employed, involving patients over 18 years old with a confirmed diagnosis of lung adenocarcinoma based on lung computed tomography (CT) scan findings, who had not yet received chemotherapy and had confirmed metastasis outside the lung. The study's dependent variable was the incidence of distant metastasis, while the independent variable was lung adenocarcinoma size. Two experienced thoracic radiologists measured lung adenocarcinoma size by assessing the longest axis using chest multi-slice computed tomography (MSCT) in the lung window setting. Receiver operating characteristic (ROC) curve analysis determined the optimal tumor size cut-off for predicting distant metastasis. Of 956 thoracic cancer patients, 108 were diagnosed with lung adenocarcinoma. After applying the inclusion and exclusion criteria, 89 patients were eligible. In the present study, tumor size predicted 68.1% of distant metastasis cases, with a cut-off point of 7.25 cm, yielding a sensitivity of 61.9% and a specificity of 61.5%. Tumors >7.25 cm had a 2.60-fold higher risk of distant metastasis compared to smaller tumors, with larger tumors more likely to spread to various sites. In conclusion, lung adenocarcinomas larger than 7.25 cm have a 2.60-fold increased risk of distant metastasis, making tumor size a crucial predictive factor. The study provides valuable insights for radiologists and can improve diagnosis accuracy and treatment planning by emphasizing tumor size as a key factor in managing lung adenocarcinoma.

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