Semiquantitative Computed Tomography Characteristics for Lung Adenocarcinoma and Their Association With Lung Cancer Survival

Abstract

Background Computed tomographic (CT) characteristics derived from noninvasive images that represent the entire tumor may have diagnostic and prognostic value. The purpose of this study was to assess the association of a standardized set of semiquantitative CT characteristics of lung adenocarcinoma with overall survival. Patients and Methods An initial set of CT descriptors was developed to semiquantitatively assess lung adenocarcinoma in patients (n=117) who underwent resection. Survival analyses were used to determine the association between each characteristic and overall survival. Principle component analysis (PCA) was used to determine characteristics that may differentiate histological subtypes. Results Characteristics significantly associated with overall survival included pleural attachment (p < 0.001), air bronchogram (p = 0.03), and lymphadenopathy (p = 0.02). Multivariate analyses revealed pleural attachment was significantly associated with an increased risk of death overall (hazard ratio [HR] = 3.21; 95% confidence interval [CI] 1.53 – 6.70) and among patients with lepidic predominant adenocarcinomas (HR = 5.85; 95% CI 1.75 – 19.59), while lymphadenopathy was significantly associated with an increased risk of death among patients with adenocarcinomas without a predominant lepidic component (HR = 3.07; 95% CI 1.09 – 8.70). A PCA model showed that texture (ground-glass opacity component) was most important for separating the two subtypes. Conclusion A subset of the semiquantitative characteristics described herein has prognostic importance and ability to distinguish between different histological subtypes of lung adenocarcinoma.

Clinical and CT characteristics of surgically resected lung adenocarcinomas harboring ALK rearrangements or EGFR mutations

“…Our results were consistent with these previous reports. Since it was generally recognized that adenocarcinomas showing GGO on CT usually possess lepidic growth pattern [26], the result is also consistent with the pathologic findings that lepidic growth pattern was more common in lung adenocarcinomas with EGFR mutations than in those with ALK rearrangements. By comparing with those with EGFR mutations, lung adenocarcinomas with ALK rearrangements were reported to be associated with advanced lymph node metastasis [10, 13].…”

Association Between Computed Tomographic Features and Kirsten Rat Sarcoma Viral Oncogene Mutations in Patients With Stage I Lung Adenocarcinoma and Their Prognostic Value

“…Previous studies have demonstrated that preoperative computed tomographic (CT) findings are associated with pathological features and postoperative outcomes 8-11 . For example, ground-glass opacity (GGO) was associated with lepidic growth pattern of lung adenocarcinoma, and correlated well with histologic prognostic factors and survival 8, 9 .…”

Association of Radiomics and Metabolic Tumor Volumes in Radiation Treatment of Glioblastoma Multiforme

“…The challenge is that although automatically extracted features are more reproducible, they are often impeded by variations in image acquisition and/or artifacts. Semantic features following radiologist evaluation show a high degree of agreement (37) but lack the granularity for satisfactory quantitative analysis. Eight of 13 categorical variables (5 from Diehn et al [15] and 3 from VASARI, Gutmnan et al [17]) were replaced with continuous variables.…”