Cancers, Vol. 14, Pages 5888: CT-Based Radiomic Analysis for Preoperative Prediction of Tumor Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodule

Cancers, Vol. 14, Pages 5888: CT-Based Radiomic Analysis for Preoperative Prediction of Tumor Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodule Cancers doi: 10.3390/cancers14235888 Authors: Tzu-Ning Kao Min-Shu Hsieh Li-Wei Chen Chi-Fu Jeffrey Yang Ching-Chia Chuang Xu-Heng Chiang Yi-Chang Chen Yi-Hsuan Lee Hsao-Hsun Hsu Chung-Ming Chen Mong-Wei Lin Jin-Shing Chen It remains a challenge to preoperatively forecast whether lung pure ground-glass nodules (pGGNs) have invasive components. We aimed to construct a radiomic model using tumor characteristics to predict the histologic subtype associated with pGGNs. We retrospectively reviewed clinicopathologic features of pGGNs resected in 338 patients with lung adenocarcinoma between 2011–2016 at a single institution. A radiomic prediction model based on forward sequential selection and logistic regression was constructed to differentiate adenocarcinoma in situ (AIS)/minimally invasive adenocarcinoma (MIA) from invasive adenocarcinoma. The study cohort included 133 (39.4%), 128 (37.9%), and 77 (22.8%) patients with AIS, MIA, and invasive adenocarcinoma (acinar 55.8%, lepidic 33.8%, papillary 10.4%), respectively. The majority (83.7%) underwent sublobar resection. There were no nodal metastases or tumor recurrence during a mean follow-up period of 78 months. Three radiomic features—cluster shade, homogeneity, and run-length variance—were i...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research