Lung adenocarcinoma: Correlation of quantitative ct findings with pathologic findings

Radiology

Volumn 280, Issue 3, 2016, Pages 931-939

  Ko, Jane P ^a   Suh, James ^b   Ibidapo, Opeyemi ^a   Escalon, Joanna G ^d   Li, Jinyu ^a   Pass, Harvey ^c   Naidich, David P ^a   Crawford, Bernard ^c   Tsai, Emily B ^e   Koo, Chi Wan ^f   Mikheev, Artem ^a   Rusinek, Henry ^a  

^a Departments of Radiology   (United States)

^b Department of Pathology ^*  (United States)

^c NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d WEILL CORNELL MEDICAL CENTER   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADENOCARCINOMA IN SITU; ADULT; AGED; ARTICLE; CLINICAL ARTICLE; COMPUTED TOMOGRAPHY SCANNER; COMPUTER; FEMALE; HUMAN; INVASIVE NON LEPIDIC PREDOMINANT ADENOCARCINOMA; LEPIDIC PREDOMINANT ADENOCARCINOMA; LOGISTIC REGRESSION ANALYSIS; LUNG ADENOCARCINOMA; MALE; MIDDLE AGED; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; PROBABILITY; QUANTITATIVE ANALYSIS; STUDENT T TEST; TISSUE MICROARRAY; TUMOR DIFFERENTIATION; VERY ELDERLY; ADENOCARCINOMA; DIAGNOSTIC IMAGING; LUNG NEOPLASMS; PATHOLOGY; REPRODUCIBILITY; THREE DIMENSIONAL IMAGING; TUMOR VOLUME; X-RAY COMPUTED TOMOGRAPHY;

ADENOCARCINOMA; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; LUNG NEOPLASMS; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, X-RAY COMPUTED; TUMOR BURDEN;

EID: 84986208136     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.2016142975     Document Type: Article

References (38)

1. Aoki T, Tomoda Y, Watanabe H, et al. Peripheral lung adenocarcinoma: correlation of thin-section CT findings with histologic prognostic factors and survival. Radiology 2001; 220(3):803-809.
2. Tsutani Y, Miyata Y, Nakayama H, et al. Prognostic significance of using solid versus whole tumor size on high-resolution computed tomography for predicting pathologic malignant grade of tumors in clinical stage IA lung adenocarcinoma: a multicenter study. J Thorac Cardiovasc Surg 2012;143(3):607-612.
3. Okada M, Nishio W, Sakamoto T, et al. Correlation between computed tomographic findings, bronchioloalveolar carcinoma component, and biologic behavior of small-sized lung adenocarcinomas. J Thorac Cardiovasc Surg 2004;127(3):857-861.
4. Kakinuma R, Kodama K, Yamada K, et al. Performance evaluation of 4 measuring methods of ground-glass opacities for predicting the 5-year relapse-free survival of patients with peripheral nonsmall cell lung cancer: a multicenter study. J Comput Assist Tomogr 2008;32(5):792-798.
5. Yankelevitz DF, Reeves AP, Kostis WJ, Zhao B, Henschke CI. Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. Radiology 2000; 217(1):251-256.
6. Goo JM, Tongdee T, Tongdee R, Yeo K, Hildebolt CF, Bae KT. Volumetric measurement of synthetic lung nodules with multidetector row CT: effect of various image reconstruction parameters and segmentation thresholds on measurement accuracy. Radiology 2005;235(3):850-856.
7. Sumikawa H, Johkoh T, Nagareda T, et al. Pulmonary adenocarcinomas with groundglass attenuation on thin-section CT: quantification by three-dimensional image analyzing method. Eur J Radiol 2008;65(1): 104-111.
8. Zhang L, Yankelevitz DF, Carter D, Henschke CI, Yip R, Reeves AP. Internal growth of nonsolid lung nodules: radiologic-pathologic correlation. Radiology 2012;263(1): 279-286.
9. de Hoop B, Gietema H, van de Vorst S, Murphy K, van Klaveren RJ, Prokop M. Pulmonary ground-glass nodules: increase in mass as an early indicator of growth. Radiology 2010;255(1):199-206.
10. Scholten ET, Jacobs C, van Ginneken B, et al. Computer-aided segmentation and volumetry of artificial ground-glass nodules at chest CT. AJR Am J Roentgenol 2013; 201(2):295-300.
11. Aoki T, Nakata H, Watanabe H, et al. Evolution of peripheral lung adenocarcinomas: CT findings correlated with histology and tumor doubling time. AJR Am J Roentgenol 2000;174(3):763-768.
12. Suzuki K, Yokose T, Yoshida J, et al. Prognostic significance of the size of central fibrosis in peripheral adenocarcinoma of the lung. Ann Thorac Surg 2000;69(3):893-897.
13. Suzuki K, Kusumoto M, Watanabe S, Tsuchiya R, Asamura H. Radiologic classification of small adenocarcinoma of the lung: radiologic-pathologic correlation and its prognostic impact. Ann Thorac Surg 2006;81(2): 413-419.
14. Kim HY, Shim YM, Lee KS, Han J, Yi CA, Kim YK. Persistent pulmonary nodular ground-glass opacity at thin-section CT: histopathologic comparisons. Radiology 2007; 245(1):267-275.
15. Saito H, Yamada K, Hamanaka N, et al. Initial findings and progression of lung adenocarcinoma on serial computed tomography scans. J Comput Assist Tomogr 2009; 33(1):42-48.
16. Travis WD, Brambilla E, Noguchi M, et al. International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society international multidisciplinary classification of lung adenocarcinoma. J Thorac Oncol 2011;6(2):244-285.
17. Noguchi M, Morikawa A, Kawasaki M, et al. Small adenocarcinoma of the lung: histologic characteristics and prognosis. Cancer 1995;75(12):2844-2852.
18. Travis WD. Pathology of lung cancer. Clin Chest Med 2011;32(4):669-692.
19. Lim HJ, Ahn S, Lee KS, et al. Persistent pure ground-glass opacity lung nodules 10 mm in diameter at CT scan: histopathologic comparisons and prognostic implications. Chest 2013;144(4):1291-1299.
20. Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner Society: glossary of terms for thoracic imaging. Radiology 2008;246(3):697-722.
21. Rusinek H, Naidich DP, McGuinness G, et al. Pulmonary nodule detection: low-dose versus conventional CT. Radiology 1998;209(1): 243-249.
22. Ko JP, Berman EJ, Kaur M, et al. Pulmonary nodules: growth rate assessment in patients by using serial CT and three-dimensional volumetry. Radiology 2012;262(2):662-671.
23. Yoshizawa A, Motoi N, Riely GJ, et al. Impact of proposed IASLC/ATS/ERS classification of lung adenocarcinoma: prognostic subgroups and implications for further revision of staging based on analysis of 514 stage I cases. Mod Pathol 2011;24(5): 653-664.
24. Yoshizawa A, Sumiyoshi S, Sonobe M, et al. Validation of the IASLC/ATS/ERS lung adenocarcinoma classification for prognosis and association with EGFR and KRAS gene mutations: analysis of 440 Japanese patients. J Thorac Oncol 2013;8(1):52-61.
25. Oda S, Awai K, Liu D, et al. Ground-glass opacities on thin-section helical CT: differentiation between bronchioloalveolar carcinoma and atypical adenomatous hyperplasia. AJR Am J Roentgenol 2008;190(5):1363-1368.
26. Aoki T, Hanamiya M, Uramoto H, Hisaoka M, Yamashita Y, Korogi Y. Adenocarcinomas with predominant groundglass opacity: correlation of morphology and molecular biomarkers. Radiology 2012;264(2):590-596.
27. Takashima S, Maruyama Y, Hasegawa M, et al. Prognostic significance of high-resolution CT findings in small peripheral adenocarcinoma of the lung: a retrospective study on 64 patients. Lung Cancer 2002;36(3): 289-295.
28. Yanagawa M, Tanaka Y, Kusumoto M, et al. Automated assessment of malignant degree of small peripheral adenocarcinomas using volumetric CT data: correlation with pathologic prognostic factors. Lung Cancer 2010;7 0(3):286-294.
29. Oda S, Awai K, Murao K, et al. Computer-aided volumetry of pulmonary nodules exhibiting ground-glass opacity at MDCT. AJR Am J Roentgenol 2010;194(2):398-406.
30. Park CM, Goo JM, Lee HJ, Kim KG, Kang MJ, Shin YH. Persistent pure ground-glass nodules in the lung: interscan variability of semiautomated volume and attenuation measurements. AJR Am J Roentgenol 2010; 195(6):W408-W414.
31. Oda S, Awai K, Murao K, et al. Volume-doubling time of pulmonary nodules with ground glass opacity at multidetector CT: assessment with computer-aided three-dimensional volumetry. Acad Radiol 2011;18(1):63-69.
32. Yanagawa M, Kuriyama K, Kunitomi Y, et al. One-dimensional quantitative evaluation of peripheral lung adenocarcinoma with or without ground-glass opacity on thin-section CT images using profile curves. Br J Radiol 2009;82(979):532-540.
33. Kim H, Park CM, Woo S, et al. Pure and part-solid pulmonary ground-glass nodules: measurement variability of volume and mass in nodules with a solid portion less than or equal to 5 mm. Radiology 2013;269(2):585-593.
34. Yanagawa M, Tanaka Y, Leung AN, et al. Prognostic importance of volumetric measurements in stage I lung adenocarcinoma. Radiology 2014;272(2):557-567.
35. van Riel SJ, Sánchez CI, Bankier AA, et al. Observer variability for classification of pulmonary nodules on low-dose CT images and its effect on nodule management. Radiology 2015;277(3):863-871.
36. Austin JH, Garg K, Aberle D, et al. Radiologic implications of the 2011 classification of adenocarcinoma of the lung. Radiology 2013; 266(1):62-71.
37. Ambrosini-Spaltro A, Ruiu A, Seebacher C, et al. Impact of the IASLC/ATS/ERS classification in pN0 pulmonary adenocarcinomas: a study with radiological-pathological comparisons and survival analyses. Pathol Res Pract 2014;210(1):40-46.
38. Chae HD, Park CM, Park SJ, Lee SM, Kim KG, Goo JM. Computerized texture analysis of persistent part-solid ground-glass nodules: differentiation of preinvasive lesions from invasive pulmonary adenocarcinomas. Radiology 2014;273(1):285-293.