Abstract
BackgroundThe aim of this study was to assess the ability of using mean computed tomography (mCT) values to predict non-small cell lung cancer (NSCLC) tumor recurrence.MethodsA retrospective study was conducted on 494 patients with stage IA NSCLC. Receiver operating characteristics analysis was used to assess the ability to use mCT value, C/T ratio, tumor size, and SUV to predict tumor recurrence. Multiple logistic regression analyses were performed to determine the independent variables for the prediction of tumor recurrence.ResultsThe m-CT values were − 213.7 ± 10.2 Hounsfield Units (HU) for the recurrence group and − 594.1 ± 11.6 HU for the non-recurrence group (p < 0.0001). Recurrence occurred in 45 patients (9.1%). The tumor recurrence group was strongly associated with a high CT attenuation value, high C/T ratio, large solid tumor size, and SUV. The diagnostic value of mCT value was more accurate than the C/T ratio, excluding the pure ground-glass opacity and pure solid (0 < C/T ratio < 100) groups. The SUV and mCT are independent predictive factors of tumor recurrence.ConclusionsThe evaluation of mCT values was useful for predicting recurrence after the limited resection of small-sized NSCLC, and may potentially contribute to the selection of suitable treatment strategies.
Highlights
The aim of this study was to assess the ability of using mean computed tomography values to predict non-small cell lung cancer (NSCLC) tumor recurrence
We previously reported that the mean computed tomography (mCT) value of GGO lesions is a risk factor associated with their future change [11], and the evaluation of mCT values is useful in predicting less invasive lung cancer [12]
The CT findings of typical GGO lesions are presented in the Fig. 1 and detailed explanation were described in the results section of the report already published 12
Summary
The aim of this study was to assess the ability of using mean computed tomography (mCT) values to predict non-small cell lung cancer (NSCLC) tumor recurrence. Ground-glass-opacity (GGO) is defined as a shadow that is completely occupied by a hazy area of increased attenuation in the lung with preserved bronchial and vascular lesion margins when assessed using high resolution computed tomography (HRCT) [1]. Quantitative densitometric methodologies, and mean CT (mCT) number have been reportedly used to evaluate GGO lesions [7,8,9,10]. We previously reported that the mCT value of GGO lesions is a risk factor associated with their future change [11], and the evaluation of mCT values is useful in predicting less invasive lung cancer [12]. There have been no studies regarding the use of mCT values in lung cancer and recurrence, which can be of great significance for treatment decisions
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