L Fan1, S-Y Liu, Q-C Li, H Yu, X-S Xiao. 1. Department of Radiology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Abstract
OBJECTIVE: To evaluate different features between benign and malignant pulmonary focal ground-glass opacity (fGGO) on multidetector CT (MDCT). METHODS: 82 pathologically or clinically confirmed fGGOs were retrospectively analysed with regard to demographic data, lesion size and location, attenuation value and MDCT features including shape, margin, interface, internal characteristics and adjacent structure. Differences between benign and malignant fGGOs were analysed using a χ(2) test, Fisher's exact test or Mann-Whitney U-test. Morphological characteristics were analysed by binary logistic regression analysis to estimate the likelihood of malignancy. RESULTS: There were 21 benign and 61 malignant lesions. No statistical differences were found between benign and malignant fGGOs in terms of demographic data, size, location and attenuation value. The frequency of lobulation (p=0.000), spiculation (p=0.008), spine-like process (p=0.004), well-defined but coarse interface (p=0.000), bronchus cut-off (p=0.003), other air-containing space (p=0.000), pleural indentation (p=0.000) and vascular convergence (p=0.006) was significantly higher in malignant fGGOs than that in benign fGGOs. Binary logistic regression analysis showed that lobulation, interface and pleural indentation were important indicators for malignant diagnosis of fGGO, with the corresponding odds ratios of 8.122, 3.139 and 9.076, respectively. In addition, a well-defined but coarse interface was the most important indicator of malignancy among all interface types. With all three important indicators considered, the diagnostic sensitivity, specificity and accuracy were 93.4%, 66.7% and 86.6%, respectively. CONCLUSION: An fGGO with lobulation, a well-defined but coarse interface and pleural indentation gives a greater than average likelihood of being malignant.
OBJECTIVE: To evaluate different features between benign and malignant pulmonary focal ground-glass opacity (fGGO) on multidetector CT (MDCT). METHODS: 82 pathologically or clinically confirmed fGGOs were retrospectively analysed with regard to demographic data, lesion size and location, attenuation value and MDCT features including shape, margin, interface, internal characteristics and adjacent structure. Differences between benign and malignant fGGOs were analysed using a χ(2) test, Fisher's exact test or Mann-Whitney U-test. Morphological characteristics were analysed by binary logistic regression analysis to estimate the likelihood of malignancy. RESULTS: There were 21 benign and 61 malignant lesions. No statistical differences were found between benign and malignant fGGOs in terms of demographic data, size, location and attenuation value. The frequency of lobulation (p=0.000), spiculation (p=0.008), spine-like process (p=0.004), well-defined but coarse interface (p=0.000), bronchus cut-off (p=0.003), other air-containing space (p=0.000), pleural indentation (p=0.000) and vascular convergence (p=0.006) was significantly higher in malignant fGGOs than that in benign fGGOs. Binary logistic regression analysis showed that lobulation, interface and pleural indentation were important indicators for malignant diagnosis of fGGO, with the corresponding odds ratios of 8.122, 3.139 and 9.076, respectively. In addition, a well-defined but coarse interface was the most important indicator of malignancy among all interface types. With all three important indicators considered, the diagnostic sensitivity, specificity and accuracy were 93.4%, 66.7% and 86.6%, respectively. CONCLUSION: An fGGO with lobulation, a well-defined but coarse interface and pleural indentation gives a greater than average likelihood of being malignant.
Authors: T Aoki; H Nakata; H Watanabe; K Nakamura; T Kasai; H Hashimoto; K Yasumoto; M Kido Journal: AJR Am J Roentgenol Date: 2000-03 Impact factor: 3.959
Authors: Chang Min Park; Jin Mo Goo; Hyun Ju Lee; Chang Hyun Lee; Eun Ju Chun; Jung-Gi Im Journal: Radiographics Date: 2007 Mar-Apr Impact factor: 5.333
Authors: Claudia I Henschke; David F Yankelevitz; Rosna Mirtcheva; Georgeann McGuinness; Dorothy McCauley; Olli S Miettinen Journal: AJR Am J Roentgenol Date: 2002-05 Impact factor: 3.959
Authors: Hyun Ju Lee; Jin Mo Goo; Chang Hyun Lee; Chul-Gyu Yoo; Young Tae Kim; Jung-Gi Im Journal: Korean J Radiol Date: 2007 Jan-Feb Impact factor: 3.500
Authors: Ying Liu; Yoganand Balagurunathan; Thomas Atwater; Sanja Antic; Qian Li; Ronald C Walker; Gary T Smith; Pierre P Massion; Matthew B Schabath; Robert J Gillies Journal: Clin Cancer Res Date: 2016-09-23 Impact factor: 12.531