Original articleGeneral thoracicMean Computed Tomography Value to Predict the Tumor Invasiveness in Clinical Stage IA Lung Cancer
Section snippets
Patients
This study was approved by the Kanazawa University Internal Review Board. Between October 2006 and October 2012, 873 consecutive patients underwent pulmonary resection for lung cancer. The study excluded patients who received preoperative treatment, such as radiotherapy or chemotherapy, or had multiple lung cancers. Included were 494 patients (220 men and 274 women) diagnosed with clinical stage IA lung cancer with peripherally located adenocarcinoma of the lung. The reason for focusing on
Results
Clinical and pathologic characteristics are reported in Table 1. Forty-two (8.5%) patients were upstaged of T status, and 32 (6.5%) were upstaged of N status. A total of 140 patients (28.3%) were classified as NINVC, and 354 were classified as INVC.
The CT findings of typical GGO lesions are presented in Figure 1. In the lesion in Figure 1A, the proportion of the solid portion was 35%, and the m-CT value was 586 Hounsfield units (HU). Figure 1B shows a typical pure GGO lesion. The tumors in
Comment
The present study aimed to evaluate the ability of the m-CT value to predict tumor invasiveness and to compare with other measurements. Evaluation of various CT features, such as the m-CT values, C/T ratio, solid tumor size, whole tumor size, m-CT value, and SUV, can be helpful in predicting tumor invasiveness. In particular, we initially demonstrated that the m-CT value of the GGO lesion is a sensitive marker for predicting tumor invasiveness.
Although the lymphatic or blood vessel invasion is
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The use of the mean computed-tomography value to predict the invasiveness of ground-glass nodules: A meta-analysis
2023, Asian Journal of SurgeryCitation Excerpt :Previous studies have shown that single CT imaging sign such as pleural indentation, bubble lucency, speculation or lobulated margin have limited diagnostic value in distinguishing pre-invasion and invasive diseases.6,7 GGN lesions have potential to be used as predictor of invasiveness as many health experts have investigated the association between the mean CT value and the invasiveness of GGNs.8–11 For instance, the measurement of the mean CT value has been defined as a 15-mm2 region of interest placed in three separate locations within the nodule to bar vessels and bronchioles.12
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2022, Journal of Thoracic and Cardiovascular SurgeryCitation Excerpt :Liu and colleagues7 reported that mean CT attenuation value is a significant predictor of pathological invasiveness for GGO nodules. Tamura and colleagues20 concluded that mean CT attenuation value might play an important role in operative procedure determination for peripheral lung adenocarcinoma. However, Fu and colleagues21 reported that mean CT attenuation value was useless in predicting the degree of invasiveness of pure GGO nodules.
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2019, Lung CancerCitation Excerpt :Yagi et al. [32] reported that AIS-MIA was associated with significantly lower mean CT values compared to invasive adenocarcinoma, and Tamura et al. [33] reported that AAH-AIS was associated with significantly lower mean CT values compared to MIA-invasive adenocarcinoma. Tamura et al. showed that the mean CT value could better predict invasive adenocarcinoma than the C/T ratio in small (<2 cm) lung adenocarcinomas [33]. To the best of our knowledge, no studies have examined histological components correlated with GGO using CT values.
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2019, Annals of Thoracic SurgeryCitation Excerpt :If LD corresponds to both noninvasive and invasive regions, whereas MD corresponds to only invasive regions, the radiologic characteristics of these regions may differ with respect to HU, CT texture, and CT histograms. Although previous studies have reported that HU predicts tumor invasiveness [21] and that histopathologic findings correlate with CT texture [22], we did not measure these variables in our study. Further examinations are therefore required.
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