首页> 外文期刊>Thoracic cancer. >Can spectral computed tomography imaging improve the differentiation between malignant and benign pulmonary lesions manifesting as solitary pure ground glass, mixed ground glass, and solid nodules?
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Can spectral computed tomography imaging improve the differentiation between malignant and benign pulmonary lesions manifesting as solitary pure ground glass, mixed ground glass, and solid nodules?

机译:可以光谱计算断层扫描成像改善恶性和良性肺部病变之间的分化,表现为孤立纯玻璃,混合覆盖玻璃和固体结节?

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This study quantitatively assessed the efficacy of spectral computed tomography (CT) imaging parameters for differentiating the malignancy and benignity of solitary pulmonary nodules (SPNs) manifesting as ground glass nodules (GGNs) and solid nodules (SNs). The study included 114 patients with SPNs (61 GGNs, and 53 SNs) who underwent CT plain and enhanced scans in the arterial (a) and venous (v) phases using the spectral imaging mode. The spectral CT imaging parameters included: iodine concentrations (IC) of lesions in the arterial (ICLa) and venous (ICLv) phases; normalized IC (NICa/NICv, normalized to the IC in the aorta); the slope of the spectral Hounsfield unit (HU) curve (λHUa/λHUv); and monochromatic CT number (CT40keVa/v, CT70keVa/v) enhancement on 40 and 70?keV images. The two-sample Mann-Whitney U test was used to compare quantitative parameters between malignant and benign SPNs, SNs, and GGNs. Pathology revealed 75 lung cancer cases, 3 metastatic nodules, 14 benign nodules, and 22 inflammatory nodules. Among the 53 SNs there were 37 malignant and 16 benign nodules. Among the 61 GGNs there were 41 malignant and 20 benign nodules. Overall, the CT40keVa, λHUa, CT40keVv, λHUv, and ICLv of benign SPNs were all greater than those of malignant SPNs (all P??0.05). For GGNs, CT40keVa/v, CT70keVa/v, λHUa/λHUv, and ICLv of malignant GGNs were all lower than those of benign GGNs. Spectral CT imaging is a more promising method for distinguishing malignant from benign nodules, especially in nodules manifesting as GGNs in contrast-enhanced scanning. ? 2018 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.
机译:该研究定量评估了光谱计算断层扫描(CT)成像参数的功效,用于区分孤立性肺结核(SPN)的恶性肿瘤和良性,所述肺结核(SPN)显示为研磨玻璃结节(GGN)和固体结节(SNS)。该研究包括114名患有SPNS(61 GGNS和53个SNS)的患者,他们使用光谱成像模式在动脉(A)和静脉(V)阶段中的CT平原和增强扫描。谱CT成像参数包括:动脉(ICLA)和静脉(ICLV)阶段的病变(IC)碘浓度(IC);归一化IC(Nica / Nicv,标准化为主动脉中的IC);光谱Hounsfield单元(HU)曲线(λHua/λhuv)的斜率;和40和70的单色CT号(CT40KEVA / V,CT7SVA / V)增强?KEV图像。两个样本Mann-Whitney U测试用于比较恶性和良性SPN,SNS和GGN之间的定量参数。病理学揭示了75例肺癌病例,3例转移性结节,14个良性结节和22例炎症结节。在53个SN中,有37个恶性和16个良性结节。在61个GGN中,有41个恶性和20个良性结节。总体而言,CT40Keva,λhua,ct40kevv,λhuv和良性Spns的Iclv都大于恶性Spns(所有p?<Δ05)。对于GGNS,CT40KEVA / V,CT7SVA / V,λHua/λHUV和恶性GGN的ICLV均低于良性GGNS。光谱CT成像是一种更有希望的方法,用于区分恶性来自良性结节,尤其是在对比增强扫描中作为GGN的结节。 ? 2018年的作者。中国肺部肿瘤集团和约翰瓦里和儿子澳大利亚发表的胸癌

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