1
|
Larici AR, Farchione A, Franchi P, Ciliberto M, Cicchetti G, Calandriello L, del Ciello A, Bonomo L. Lung nodules: size still matters. Eur Respir Rev 2017; 26:26/146/170025. [DOI: 10.1183/16000617.0025-2017] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Accepted: 10/28/2017] [Indexed: 12/18/2022] Open
Abstract
The incidence of indeterminate pulmonary nodules has risen constantly over the past few years. Determination of lung nodule malignancy is pivotal, because the early diagnosis of lung cancer could lead to a definitive intervention. According to the current international guidelines, size and growth rate represent the main indicators to determine the nature of a pulmonary nodule. However, there are some limitations in evaluating and characterising nodules when only their dimensions are taken into account. There is no single method for measuring nodules, and intrinsic errors, which can determine variations in nodule measurement and in growth assessment, do exist when performing measurements either manually or with automated or semi-automated methods. When considering subsolid nodules the presence and size of a solid component is the major determinant of malignancy and nodule management, as reported in the latest guidelines. Nevertheless, other nodule morphological characteristics have been associated with an increased risk of malignancy. In addition, the clinical context should not be overlooked in determining the probability of malignancy. Predictive models have been proposed as a potential means to overcome the limitations of a sized-based assessment of the malignancy risk for indeterminate pulmonary nodules.
Collapse
|
2
|
Zhou J, Li Y, Zhang Y, Liu G, Tan H, Hu Y, Xiao J, Shi H. Solitary ground-glass opacity nodules of stage IA pulmonary adenocarcinoma: combination of 18F-FDG PET/CT and high-resolution computed tomography features to predict invasive adenocarcinoma. Oncotarget 2017; 8:23312-23321. [PMID: 28423576 PMCID: PMC5410306 DOI: 10.18632/oncotarget.15577] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 02/13/2017] [Indexed: 12/18/2022] Open
Abstract
To investigate the performance of combined 18F-FDG Positron Emission Tomography/Computed Tomography with high-resolution CT for differentiating invasive adenocarcinoma from adenocarcinoma in situ (pre-invasive lesion) or minimally invasive adenocarcinoma in stage IA lung cancer patients with solitary ground-glass opacity nodules. This retrospective study enrolled 58 consecutive stage IA pulmonary adenocarcinoma patients with solitary ground-glass opacity nodules. The characteristics and measurements of the ground-glass opacity nodules as pure ground-glass opacity nodules and mixed ground-glass opacity nodules in the pre-invasive or minimally invasive adenocarcinoma and invasive adenocarcinoma groups on Positron Emission Tomography/Computed Tomography and high-resolution CT were compared and analyzed. Ground-glass opacity nodules in the pre-invasive or minimally invasive adenocarcinoma group preferentially manifested as pure ground-glass opacity nodule (p < 0.01) compared to the invasive adenocarcinoma group. While cystic appearance was more common in the invasive adenocarcinoma group (p < 0.05). Significant differences were found in the diameter of the ground-glass opacity nodule itself and its solid component, and consolidation/tumor ratio between the two groups. The sensitivity in predicting invasive adenocarcinoma was higher with a combined consolidation/tumor ratio > 0.38 and SUVmax > 1.46 in mixed ground-glass opacity nodule when compared to those of SUVmax > 0.95 alone or consolidation/tumor ratio> 0.39 alone (both p > 0.05). For a mixed ground-glass opacity nodule combined consolidation/tumor ratio > 0.38 and SUVmax > 1.46 appears to better predict invasive adenocarcinoma in stage IA lung cancer patients with solitary ground-glass opacity nodules.
Collapse
Affiliation(s)
- Jun Zhou
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.,Nuclear Medicine Institute of Fudan University, Shanghai, China 200032.,Shanghai Institute of Medical Imaging, Shanghai, China 200032
| | - Yanli Li
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.,Nuclear Medicine Institute of Fudan University, Shanghai, China 200032.,Shanghai Institute of Medical Imaging, Shanghai, China 200032
| | - Yiqiu Zhang
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.,Nuclear Medicine Institute of Fudan University, Shanghai, China 200032.,Shanghai Institute of Medical Imaging, Shanghai, China 200032
| | - Guobing Liu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.,Nuclear Medicine Institute of Fudan University, Shanghai, China 200032.,Shanghai Institute of Medical Imaging, Shanghai, China 200032
| | - Hui Tan
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.,Nuclear Medicine Institute of Fudan University, Shanghai, China 200032.,Shanghai Institute of Medical Imaging, Shanghai, China 200032
| | - Yan Hu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.,Nuclear Medicine Institute of Fudan University, Shanghai, China 200032.,Shanghai Institute of Medical Imaging, Shanghai, China 200032
| | - Jie Xiao
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.,Nuclear Medicine Institute of Fudan University, Shanghai, China 200032.,Shanghai Institute of Medical Imaging, Shanghai, China 200032
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.,Nuclear Medicine Institute of Fudan University, Shanghai, China 200032.,Shanghai Institute of Medical Imaging, Shanghai, China 200032
| |
Collapse
|
3
|
Quantitative Computed Tomography Imaging Biomarkers in the Diagnosis and Management of Lung Cancer. Invest Radiol 2016; 50:571-83. [PMID: 25811833 DOI: 10.1097/rli.0000000000000152] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Tumor diameter has traditionally been used as a standard metric in terms of diagnosis and prognosis prediction of lung cancer. However, recent advances in imaging techniques and data analyses have enabled novel quantitative imaging biomarkers that can characterize disease status more comprehensively and/or predict tumor behavior more precisely. The most widely used imaging modality for lung tumor assessment is computed tomography. Therefore, we focused on computed tomography imaging biomarkers such as tumor volume and mass, ground-glass opacities, perfusion parameters, as well as texture features in this review. Herein, we first appraised the conventional 1- or 2-dimensional measurement with brief discussion on their limits and then introduced the potential imaging biomarkers with emphasis on the current understanding of their clinical usefulness with respect to the malignancy differentiation, treatment response monitoring, and patient outcome prediction.
Collapse
|
4
|
Lee Y, Lee HJ, Kim YT, Kang CH, Goo JM, Park CM, Paeng JC, Chung DH, Jeon YK. Imaging characteristics of stage I non-small cell lung cancer on CT and FDG-PET: relationship with epidermal growth factor receptor protein expression status and survival. Korean J Radiol 2013; 14:375-83. [PMID: 23483676 PMCID: PMC3590355 DOI: 10.3348/kjr.2013.14.2.375] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2012] [Accepted: 09/10/2012] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVE To identify CT and FDG-PET features associated with epidermal growth factor receptor (EGFR) protein overexpression, and to evaluate whether imaging features and EGFR-overexpression can help predict clinical outcome. MATERIALS AND METHODS In 214 patients (M : F = 129 : 85; mean age, 63.2) who underwent curative resection of stage I non-small cell lung cancer, EGFR protein expression status was determined through immunohistochemical analysis. Imaging characteristics on CT and FDG-PET was assessed in relation to EGFR-overexpression. Imaging features and EGFR-overexpression were also evaluated for clinical outcome by using the Cox proportional hazards model. RESULTS EGFR-overexpression was found in 51 patients (23.8%). It was significantly more frequent in tumors with an SUV(max) > 5.0 (p < 0.0001), diameter > 2.43 cm (p < 0.0001), and with ground glass opacity ≤ 50% (p = 0.0073). SUV(max) > 5.0 (OR, 3.113; 95% CI, 1.375-7.049; p = 0.006) and diameter > 2.43 cm (OR, 2.799; 95% CI, 1.285-6.095; p = 0.010) were independent predictors of EGFR overexpression. Multivariate analysis showed that SUV(max) > 4.0 (hazard ratio, 10.660; 95% CI, 1.370-82.966; p = 0.024), and the presence of cavitation within a tumor (hazard ratio, 3.122; 95% CI, 1.143-8.532; p = 0.026) were factors associated with poor prognosis. CONCLUSION EGFR-overexpression is associated with high SUV(max), large tumor diameter, and small GGO proportion. CT and FDG-PET findings, which are closely related to EGFR overexpression, can be valuable in the prediction of clinical outcome.
Collapse
Affiliation(s)
- Youkyung Lee
- Department of Radiology, Seoul National University Hospital, Seoul 110-744, Korea
| | | | | | | | | | | | | | | | | |
Collapse
|
5
|
Ground-glass nodules on chest CT as imaging biomarkers in the management of lung adenocarcinoma. AJR Am J Roentgenol 2011; 196:533-43. [PMID: 21343494 DOI: 10.2214/ajr.10.5813] [Citation(s) in RCA: 86] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
OBJECTIVE The purpose of this article is to review the clinical significance of ground-glass nodules (GGNs) in the management of lung adenocarcinoma. CONCLUSION GGNs can serve as imaging biomarkers that represent the bronchioloalveolar carcinoma component in adenocarcinoma on histology and indicate a better prognosis in patients with lung adenocarcinoma. The evolution of GGNs reflects the multistep progression of adenocarcinoma. Despite the high probability of malignancy of GGNs, the possibility of overdiagnosis should be considered in the management of GGNs.
Collapse
|
6
|
Goo JM. A computer-aided diagnosis for evaluating lung nodules on chest CT: the current status and perspective. Korean J Radiol 2011; 12:145-55. [PMID: 21430930 PMCID: PMC3052604 DOI: 10.3348/kjr.2011.12.2.145] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2010] [Accepted: 09/16/2010] [Indexed: 12/03/2022] Open
Abstract
As the detection and characterization of lung nodules are of paramount importance in thoracic radiology, various tools for making a computer-aided diagnosis (CAD) have been developed to improve the diagnostic performance of radiologists in clinical practice. Numerous studies over the years have shown that the CAD system can effectively help readers identify more nodules. Moreover, nodule malignancy and the response of malignant lung tumors to treatment can also be assessed using nodule volumetry. CAD also has the potential to objectively analyze the morphology of nodules and enhance the workflow during the assessment of follow-up studies. Therefore, understanding the current status and limitations of CAD for evaluating lung nodules is essential to effectively apply CAD in clinical practice.
Collapse
Affiliation(s)
- Jin Mo Goo
- Department of Radiology, Seoul National University College of Medicine and the Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 110-744, Korea.
| |
Collapse
|
7
|
Linning E, Daqing M. Volumetric measurement pulmonary ground-glass opacity nodules with multi-detector CT: effect of various tube current on measurement accuracy--a chest CT phantom study. Acad Radiol 2009; 16:934-9. [PMID: 19409818 DOI: 10.1016/j.acra.2009.02.020] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2008] [Revised: 02/19/2009] [Accepted: 02/19/2009] [Indexed: 11/18/2022]
Abstract
RATIONALE AND OBJECTIVES The purpose of this study was to evaluate the effect of various tube currents on the accuracy of volumetric measurements of ground-glass opacity (GGO) nodules using a chest phantom. MATERIALS AND METHODS A chest phantom containing 13 artificial GGO nodules with known volumes was scanned using a 64-slice computed tomographic scanner at different tube currents (30, 60, 90, 120, 150, 180, and 210 mA). Volumetric measurements were performed using software. The relative percentage error and the absolute percentage error between the volume measures on computed tomography and the reference-standard volumes were calculated. Correlations between the mean absolute percentage error and the mean attenuation of nodules and between the ratio of solid component and the mean attenuation of nodules were analyzed. RESULTS The relative percentage errors showed that there was substantial underestimation of nodule volumes at 30, 60, and 90 mA and substantial overestimation of volumes at 120, 150, 180, and 210 mA, but there was no statistically significant difference in absolute percentage errors (P = .876). Pearson's correlation coefficient of the mean absolute percentage errors of nodules on volumetric measurement versus the mean attenuation value of nodules showed a negative correlation, and the ratio of solid component to whole nodule versus the mean attenuation of nodules showed a positive correlation. CONCLUSION Volume measurement is a promising method for the quantification of GGO nodule volume. It is important to know that different tube currents can affect the accuracy of volumetric measurements.
Collapse
Affiliation(s)
- E Linning
- Department of Radiology, Beijing Friendship Hospital-Affiliated Capital Medical University, 95 YongAn Road, XuanWu District, Beijing, China
| | | |
Collapse
|