Differential diagnostic value of 64‑slice spiral computed tomography in solitary pulmonary nodule

Abstract

The present study aimed to evaluate the diagnostic value of 64-slice spiral multivariate computed tomography (CT) combined with dynamic contrast-enhanced scanning for benign and malignant solitary pulmonary nodules (SPNs). A total of 93 patients with SPN as diagnosed by CT were included. All these patients were subjected to routine and dynamic enhancement CT scanning. After reconstruction, the morphological characteristics following dynamic enhancement were analyzed, and compared for the benign and malignant SPN cases. The incidences of lobulation, spicular sign, pleural indentation and vacuole sign in the malignant SPN group were significantly higher compared with the benign SPN group. During the dynamic enhancement scanning, the CT values at all the time points for the inflammatory and malignant SPN groups were significantly higher than the benign SPN group. No significant differences were observed in the dynamic enhancement CT values at 30, 60, 90 and 120 sec between the inflammatory, and malignant SPN groups. However, in the inflammatory SPN group, the dynamic enhancement CT values at 300 and 540 sec were significantly lower than the malignant SPN group. Notably, the diagnostic accordance rate for the morphological signs combined with dynamic enhancement diagnosis was significantly higher than the morphological signs alone. The 64-slice spiral CT morphological signs combined with dynamic enhancement detection can be more effective for the differential diagnosis of benign and malignant SPN, which may provide potent evidence for the early clinical treatment.

Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations

“…It may be because a nodule becomes more regular with an increase in size, and the limitation of the surrounding structure becomes more obvious. Lobulation, spiculation, pleural retraction, and vascular convergence are considered common signs of malignancy in lung cancer [6,[20][21][22][23][24][25]. However, for smaller nodules, traction and invasion of surrounding blood vessels and tissues, as well as tumor and peritumoral fibrosis were not obvious.…”

“…Among the various CT features, spiculation, lobulation, vascular convergence, and pleural retraction have been associated with malignancy in lung cancer [6,[20][21][22][23][24][25]; therefore, they are helpful in differentiating benign from malignant nodules. However, these features are usually absent in smaller nodules, making their diagnosis challenging.…”

Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations

“…Lobulation, spiculation, pleural retraction, and vascular convergence are considered common signs of malignancy in lung cancer [6,[20][21][22][23][24][25]. However, for smaller nodules, traction and invasion of surrounding blood vessels and tissues, as well as tumor and peritumoral fibrosis were not obvious.…”

“…Among various CT features, spiculation, lobulation, vascular convergence, and pleural retraction have been associated with malignancy in lung cancer [6,[20][21][22][23][24][25]; therefore, they are helpful in differentiating benign from malignant nodules. However, these features are usually absent from smaller nodules, making their diagnosis challenging.…”

Homological radiomics analysis for prognostic prediction in lung cancer patients

“…Lung cancer is the leading cause of cancer mortality worldwide, accounting for more than 1.7 million deaths in 2018 [1]. An association between lung cancer prognosis and tumor traits has been reported, especially in cases where computed tomography (CT) were employed [2][3][4][5]. Several radiomics studies have attempted to evaluate lung cancer prognosis by characterizing tumor traits using histograms, texture features, and wavelet-decompositions that quantify intra-tumor heterogeneity [6][7][8].…”