Departments of Radiology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Departments of Clinical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Clin Lung Cancer. 2023 Sep;24(6):541-550. doi: 10.1016/j.cllc.2023.06.001. Epub 2023 Jun 13.
INTRODUCTION/BACKGROUND: To evaluate cases of surgically resected pulmonary adenocarcinoma (Ad) with heterogenous ground-glass nodules (HGGNs) or part-solid nodules (PSNs) and to clarify the differences between them, and between invasive adenocarcinoma (IVA) and minimally invasive adenocarcinoma (MIA) + adenocarcinoma in situ (AIS) using grayscale histogram analysis of thin-section computed tomography (TSCT).
241 patients with pulmonary Ad were retrospectively classified into HGGNs and PSNs on TSCT by three thoracic radiologists. Sixty HGGNs were classified into 17 IVAs, 26 MIAs, and 17 AISs. 181 PSNs were classified into 114 IVAs, 55 MIAs, and 12 AISs.
We found significant differences in area (P = 0.0024), relative size of solid component (P <0.0001), circumference (P <0.0001), mean CT value (P <0.0001), standard deviation of the CT value (P <0.0001), maximum CT value (P <0.0001), skewness (P <0.0001), kurtosis (P <0.0001), and entropy (P <0.0001) between HGGNs and PSNs. In HGGNs, we found significant differences in relative size of solid component (P <0.0001), mean CT value (P = 0.0005), standard deviation of CT value (P = 0.0071), maximum CT value (P = 0.0237), and skewness (P = 0.0027) between IVAs and MIA+AIS lesions. In PSNs, we found significant differences in area (P = 0.0029), relative size of solid component (P = 0.0003), circumference (P = 0.0004), mean CT value (P = 0.0011), skewness (P = 0.0009), and entropy (P = 0.0002) between IVAs and the MIA+AIS lesions.
Quantitative evaluations using grayscale histogram analysis can clearly distinguish between HGGNs and PSNs, and may be useful for estimating the pathology of such lesions.
介绍/背景:通过对具有混杂磨玻璃结节(HGGN)或部分实性结节(PSN)的肺腺癌(Ad)手术切除病例进行评估,并用薄层计算机断层扫描(TSCT)的灰度直方图分析来阐明它们之间以及浸润性腺癌(IVA)和微浸润性腺癌(MIA)+原位腺癌(AIS)之间的差异。
回顾性地将 241 例肺 Ad 患者根据三位胸部放射科医生在 TSCT 上的表现分为 HGGN 和 PSN。60 个 HGGN 分为 17 个 IVA、26 个 MIA 和 17 个 AIS。181 个 PSN 分为 114 个 IVA、55 个 MIA 和 12 个 AIS。
我们发现 HGGN 和 PSN 之间在面积(P=0.0024)、实性成分相对大小(P<0.0001)、周长(P<0.0001)、平均 CT 值(P<0.0001)、CT 值标准差(P<0.0001)、最大 CT 值(P<0.0001)、偏度(P<0.0001)、峰度(P<0.0001)和熵(P<0.0001)方面有显著差异。在 HGGN 中,我们发现 IVA 和 MIA+AIS 病变之间的实性成分相对大小(P<0.0001)、平均 CT 值(P=0.0005)、CT 值标准差(P=0.0071)、最大 CT 值(P=0.0237)和偏度(P=0.0027)有显著差异。在 PSN 中,我们发现 IVA 和 MIA+AIS 病变之间在面积(P=0.0029)、实性成分相对大小(P=0.0003)、周长(P=0.0004)、平均 CT 值(P=0.0011)、偏度(P=0.0009)和熵(P=0.0002)方面有显著差异。
灰度直方图分析的定量评估可以清楚地区分 HGGN 和 PSN,可能有助于估计此类病变的病理。