Radiologic Parameters Predicting the Histologic Invasiveness of Pure Ground-Glass Nodules

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Abstract

Background

This study aimed to investigate the diagnostic performance of combined computed tomography (CT) and fluorine-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) for predicting histologic invasiveness of pure ground-glass nodules (pGGNs).

Methods

The study analyzed 91 patients who underwent resection of pGGNs and examined the correlation of pathologic invasiveness with preoperative CT and FDG PET findings.

Results

Overall, 24, 36, and 31 patients had adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAD), respectively. Compared with AIS and MIA, IAD was significantly correlated with larger CT size (P = .001), maximum CT value (P = .026), and high maximum standardized uptake value (SUVmax; P < .001). Multivariable logistic analyses revealed that CT size (odds ratio [OR], 3.848; P = .019) and SUVmax (OR, 4.968; P = .009) were independent predictors of histologic invasiveness. Receiver operating characteristic curve analysis revealed that a cutoff CT size value of 18 mm predicted histologic invasiveness with a sensitivity and specificity of 65% and 80%, respectively; similarly, a cutoff SUVmax value of 1.5 predicted histologic invasiveness with a sensitivity and specificity of 61% and 90%, respectively. Of 20 lesions with CT size ≥18 mm and SUVmax ≥1.5, 16 (80%) were IAD. Of 54 lesions with CT size <18 mm and SUVmax <1.5, 46 (85%) were non-IAD lesions. Furthermore, all pGGNs with SUVmax ≥2.5 were IAD.

Conclusions

CT size and SUVmax were significantly correlated with the histologic invasiveness of pGGNs. These factors may aid in determining optimal surgical procedures.

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预测纯磨玻璃结节组织学侵袭性的放射学参数
背景本研究旨在探讨联合计算机断层扫描(CT)和氟-18-脱氧葡萄糖(FDG)正电子发射断层扫描(PET)预测纯磨玻璃结节(pGGNs)组织学侵袭性的诊断性能。方法该研究分析了91例接受pGGNs切除术的患者,并研究了病理侵袭性与术前CT和FDG PET结果的相关性。结果总计有24、36和31例患者分别患有原位腺癌(AIS)、微侵袭性腺癌(MIA)和侵袭性腺癌(IAD)。与 AIS 和 MIA 相比,IAD 与较大的 CT 尺寸(P = .001)、最大 CT 值(P = .026)和较高的最大标准化摄取值(SUVmax; P <.001)显著相关。多变量逻辑分析显示,CT 大小(几率比 [OR],3.848;P = .019)和 SUVmax(OR,4.968;P = .009)是组织学侵袭性的独立预测因素。接收者操作特征曲线分析显示,CT尺寸的临界值为18毫米时,预测组织学侵袭性的敏感性和特异性分别为65%和80%;同样,SUVmax的临界值为1.5时,预测组织学侵袭性的敏感性和特异性分别为61%和90%。在CT尺寸≥18毫米且SUVmax≥1.5的20个病灶中,16个(80%)为IAD。在54个CT尺寸<18毫米且SUVmax<1.5的病灶中,46个(85%)为非IAD病灶。结论CT大小和SUVmax与pGGN的组织学侵袭性显著相关。这些因素可能有助于确定最佳手术方案。
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