ABSTRACT
Interstitial lung diseases cover a very wide group of diseases. In these diseases, high-resolution computed tomography (CT) plays an important place in the diagnosis. For the correct diagnosis of interstitial lung diseases, knowing the anatomy of the interstitium and correct interpretation of the CT patterns created by these diseases and their combinations have a key role. Major CT patterns can be classified as ground glass, consolidation, nodular pattern, reticular and linear pattern, traction bronchiectasis, honeycomb lung, air cysts, and mosaic perfusion and attenuation. The presence and distribution of these patterns, as well as other accompanying findings, as well as clinical and other laboratory findings, are important for differential diagnosis.
Keywords:
High-resolution thorax CT, lung interstitium, CT patterns
References
1
Griffin CB, Primack SL. High-resolution CT: normal anatomy, techniques, and pitfalls. Radiol Clin North Am 2001; 39: 1073-90.
2
Hansell DM. Thin-section CT of the lungs: the Hinterland of normal. Radiology 2010; 256: 695-711.
3
Webb WR. High-resolution CT of the lung parenchyma. Radiol Clin North Am 1989; 27: 1085-97.
4
Zerhouni E. Computed tomography of the pulmonary parenchyma. An overview. Chest 1989; 95: 901-7.
5
Weibel ER. Fleischner Lecture. Looking into the lung: what can it tell us? AJR Am J Roentgenol 1979; 133: 1021-31.
6
Murata K, Takahashi M, Mori M, Shimoyama K, Nitta N, Mishina A, et al. Peribronchovascular interstitium of the pulmonary hilum: normal and abnormal findings on thin-section electron-beam CT. AJR Am J Roentgenol 1996; 166: 309-12.
7
Webb WR. Thin-section CT of the secondary pulmonary lobule: anatomy and the image--the 2004 Fleischner lecture. Radiology 2006; 239: 322-38.
8
Engeler CE, Tashjian JH, Trenkner SW, Walsh JW. Ground-glass opacity of the lung parenchyma: a guide to analysis with high-resolution CT. AJR Am J Roentgenol 1993; 160: 249-51.
9
Remy-Jardin M, Remy J, Giraud F, Wattinne L, Gosselin B. Computed tomography assessment of ground-glass opacity: semiology and significance. J Thorac Imaging 1993; 8: 249-64.
10
Lee KN, Yoon SK, Sohn CH, Choi PJ, Webb WR. Dependent lung opacity at thin-section CT: evaluation by spirometrically-gated CT of the influence of lung volume. Korean J Radiol 2002; 3: 24-9.
11
Johkoh T, Itoh H, Müller NL, Ichikado K, Nakamura H, Ikezoe J, et al. Crazy-paving appearance at thin-section CT: spectrum of disease and pathologic findings. Radiology 1999; 211: 155-60.
12
Murayama S, Murakami J, Yabuuchi H, Soeda H, Masuda K. “Crazy paving appearance” on high resolution ct in various diseases. J Comput Assist Tomogr 1999; 23: 749-52.
13
[Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner Society: glossary of terms for thoracic imaging. Radiology 2008; 246: 697-722.
14
Primack SL, Hartman TE, Lee KS, Müller NL. Pulmonary nodules and the CT halo sign. Radiology 1994; 190: 513-5.
15
Kim SJ, Lee KS, Ryu YH, Yoon YC, Choe KO, Kim TS, et al. Reversed halo sign on high-resolution CT of cryptogenic organizing pneumonia: diagnostic implications. AJR Am J Roentgenol 2003; 180: 1251-4.
16
Gruden JF, Webb WR, Naidich DP, McGuinness G. Multinodular disease: anatomic localization at thin-section CT--multireader evaluation of a simple algorithm. Radiology 1999; 210: 711-20.
17
Lee KS, Kim TS, Han J, Hwang JH, Yoon JH, Kim Y, et al. Diffuse micronodular lung disease: HRCT and pathologic findings. J Comput Assist Tomogr 1999; 23: 99-106.
18
Akira M. High-resolution CT in the evaluation of occupational and environmental disease. Radiol Clin North Am 2002; 40: 43-59.
19
Lynch DA, Webb WR, Gamsu G, Stulbarg M, Golden J. Computed tomography in pulmonary sarcoidosis. J Comput Assist Tomogr 1989; 13: 405-10.
20
Traill ZC, Maskell GF, Gleeson FV. High-resolution CT findings of pulmonary sarcoidosis. AJR Am J Roentgenol 1997; 168: 1557-60.
21
Colby TV, Swensen SJ. Anatomic distribution and histopathologic patterns in diffuse lung disease: correlation with HRCT. J Thorac Imaging 1996; 11: 1-26.
22
Gruden JF, Webb WR, Warnock M. Centrilobular opacities in the lung on high-resolution CT: diagnostic considerations and pathologic correlation. AJR Am J Roentgenol 1994; 162: 569-74.
23
Abbott GF, Rosado-de-Christenson ML, Rossi SE, Suster S. Imaging of small airways disease. J Thorac Imaging 2009; 24: 285-98.
24
Eisenhuber E. The tree-in-bud sign. Radiology 2002; 222: 771-2.
25
Zerhouni EA, Naidich DP, Stitik FP, Khouri NF, Siegelman SS. Computed tomography of the pulmonary parenchyma. Part 2: interstitial disease. J Thorac Imaging 1985; 1: 54-64.
26
Ujita M, Renzoni EA, Veeraraghavan S, Wells AU, Hansell DM. Organizing pneumonia: perilobular pattern at thin-section CT. Radiology 2004; 232: 757-61.
27
Westcott JL, Cole SR. Traction bronchiectasis in end-stage pulmonary fibrosis. Radiology 1986; 161: 665-9.
28
Arakawa H, Honma K. Honeycomb lung: history and current concepts. AJR Am J Roentgenol 2011; 196: 773-82.
29
Genereux GP. The end-stage lung: pathogenesis, pathology, and radiology. Radiology 1975; 116: 279-89.
30
Naidich DP. High-resolution computed tomography of cystic lung disease. Semin Roentgenol 1991; 26: 151-74.
31
Abbott GF, Rosado-de-Christenson ML, Franks TJ, Frazier AA, Galvin JR. From the archives of the AFIP: pulmonary Langerhans cell histiocytosis. Radiographics 2004; 24: 821-41.
32
Avila NA, Dwyer AJ, Rabel A, Moss J. Sporadic lymphangioleiomyomatosis and tuberous sclerosis complex with lymphangioleiomyomatosis: comparison of CT features. Radiology 2007; 242: 277-85.
33
Webb WR. High-resolution computed tomography of obstructive lung disease. Radiol Clin North Am 1994; 32: 745-57.
34
Stern EJ, Swensen SJ, Hartman TE, Frank MS. CT mosaic pattern of lung attenuation: distinguishing different causes. AJR Am J Roentgenol 1995; 165: 813-6.
35
Chung MH, Edinburgh KJ, Webb EM, McCowin M, Webb WR. Mixed infiltrative and obstructive disease on high-resolution CT: differential diagnosis and functional correlates in a consecutive series. J Thorac Imaging 2001; 16: 69-75.