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Comparison of 3D Volumetric Subtraction Technique and 2D Dynamic Contrast Enhancement Technique in the Evaluation of Contrast Enhancement for Diagnosing Cushing's Disease

  • Park, Yae Won (Department of Radiology, Ewha Womans University College of Medicine) ;
  • Kim, Ha Yan (Biostatistics Collaboration Unit, Yonsei University College of Medicine) ;
  • Lee, Ho-Joon (Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine) ;
  • Kim, Se Hoon (Department of Pathology, Yonsei University College of Medicine) ;
  • Kim, Sun-Ho (Department of Neurosurgery, Yonsei University College of Medicine) ;
  • Ahn, Sung Soo (Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine) ;
  • Kim, Jinna (Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine) ;
  • Lee, Seung-Koo (Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine)
  • Received : 2017.03.23
  • Accepted : 2017.05.28
  • Published : 2018.06.30

Abstract

Purpose: The purpose of this study is to compare the performance of the T1 3D subtraction technique and the conventional 2D dynamic contrast enhancement (DCE) technique in diagnosing Cushing's disease. Materials and Methods: Twelve patients with clinically and biochemically proven Cushing's disease were included in the study. In addition, 23 patients with a Rathke's cleft cyst (RCC) diagnosed on an MRI with normal pituitary hormone levels were included as a control, to prevent non-blinded positive results. Postcontrast T1 3D fast spin echo (FSE) images were acquired after DCE images in 3T MRI and image subtraction of pre- and postcontrast T1 3D FSE images were performed. Inter-observer agreement, interpretation time, multiobserver receiver operating characteristic (ROC), and net benefit analyses were performed to compare 2D DCE and T1 3D subtraction techniques. Results: Inter-observer agreement for a visual scale of contrast enhancement was poor in DCE (${\kappa}=0.57$) and good in T1 3D subtraction images (${\kappa}=0.75$). The time taken for determining contrast-enhancement in pituitary lesions was significantly shorter in the T1 3D subtraction images compared to the DCE sequence (P < 0.05). ROC values demonstrated increased reader confidence range with T1 3D subtraction images (95% confidence interval [CI]: 0.94-1.00) compared with DCE (95% CI: 0.70-0.92) (P < 0.01). The net benefit effect of T1 3D subtraction images over DCE was 0.34 (95% CI: 0.12-0.56). For Cushing's disease, both reviewers misclassified one case as a nonenhancing lesion on the DCE images, while no cases were misclassified on T1 3D subtraction images. Conclusion: The T1 3D subtraction technique shows superior performance for determining the presence of enhancement on pituitary lesions compared with conventional DCE techniques, which may aid in diagnosing Cushing's disease.

Keywords

References

  1. Juszczak A, Grossman A. The management of Cushing's disease - from investigation to treatment. Endokrynol Pol 2013;64:166-174
  2. Newell-Price J, Trainer P, Besser M, Grossman A. The diagnosis and differential diagnosis of Cushing's syndrome and pseudo-Cushing's states. Endocr Rev 1998;19:647-672
  3. Potts MB, Shah JK, Molinaro AM, et al. Cavernous and inferior petrosal sinus sampling and dynamic magnetic resonance imaging in the preoperative evaluation of Cushing's disease. J Neurooncol 2014;116:593-600 https://doi.org/10.1007/s11060-013-1342-9
  4. Witek P, Zielinski G. Predictive value of preoperative magnetic resonance imaging of the pituitary for surgical cure in Cushing's disease. Turk Neurosurg 2012;22:747- 752
  5. Davis WL, Lee JN, King BD, Harnsberger HR. Dynamic contrast-enhanced MR imaging of the pituitary gland with fast spin-echo technique. J Magn Reson Imaging 1994;4:509-511 https://doi.org/10.1002/jmri.1880040345
  6. Bartynski WS, Lin L. Dynamic and conventional spin-echo MR of pituitary microlesions. AJNR Am J Neuroradiol 1997;18:965-972
  7. Ludecke DK, Flitsch J, Knappe UJ, Saeger W. Cushing's disease: a surgical view. J Neurooncol 2001;54:151-166 https://doi.org/10.1023/A:1012909500847
  8. Busse RF, Brau AC, Vu A, et al. Effects of refocusing flip angle modulation and view ordering in 3D fast spin echo. Magn Reson Med 2008;60:640-649 https://doi.org/10.1002/mrm.21680
  9. Kato Y, Higano S, Tamura H, et al. Usefulness of contrast- enhanced T1-weighted sampling perfection with application-optimized contrasts by using different flip angle evolutions in detection of small brain metastasis at 3T MR imaging: comparison with magnetization-prepared rapid acquisition of gradient echo imaging. AJNR Am J Neuroradiol 2009;30:923-929 https://doi.org/10.3174/ajnr.A1506
  10. Kitajima M, Hirai T, Shigematsu Y, et al. Comparison of 3D FLAIR, 2D FLAIR, and 2D T2-weighted MR imaging of brain stem anatomy. AJNR Am J Neuroradiol 2012;33:922-927 https://doi.org/10.3174/ajnr.A2874
  11. Lien RJ, Corcuera-Solano I, Pawha PS, Naidich TP, Tanenbaum LN. Three-tesla imaging of the pituitary and parasellar region: T1-weighted 3-dimensional fast spin echo cube outperforms conventional 2-dimensional magnetic resonance imaging. J Comput Assist Tomogr 2015;39:329-333
  12. Wolfsberger S, Ba-Ssalamah A, Pinker K, et al. Application of three-tesla magnetic resonance imaging for diagnosis and surgery of sellar lesions. J Neurosurg 2004;100:278- 286 https://doi.org/10.3171/jns.2004.100.2.0278
  13. Pinker K, Ba-Ssalamah A, Wolfsberger S, Mlynarik V, Knosp E, Trattnig S. The value of high-field MRI (3T) in the assessment of sellar lesions. Eur J Radiol 2005;54:327-334 https://doi.org/10.1016/j.ejrad.2004.08.006
  14. de Rotte AA, Groenewegen A, Rutgers DR, et al. High resolution pituitary gland MRI at 7.0 tesla: a clinical evaluation in Cushing's disease. Eur Radiol 2016;26:271- 277 https://doi.org/10.1007/s00330-015-3809-x
  15. Patronas N, Bulakbasi N, Stratakis CA, et al. Spoiled gradient recalled acquisition in the steady state technique is superior to conventional postcontrast spin echo technique for magnetic resonance imaging detection of adrenocorticotropin-secreting pituitary tumors. J Clin Endocrinol Metab 2003;88:1565-1569 https://doi.org/10.1210/jc.2002-021438
  16. Stobo DB, Lindsay RS, Connell JM, Dunn L, Forbes KP. Initial experience of 3 tesla versus conventional field strength magnetic resonance imaging of small functioning pituitary tumours. Clin Endocrinol (Oxf) 2011;75:673-677 https://doi.org/10.1111/j.1365-2265.2011.04098.x
  17. Lee HB, Kim ST, Kim HJ, et al. Usefulness of the dynamic gadolinium-enhanced magnetic resonance imaging with simultaneous acquisition of coronal and sagittal planes for detection of pituitary microadenomas. Eur Radiol 2012;22:514-518 https://doi.org/10.1007/s00330-011-2291-3
  18. Takano S, Akutsu H, Hara T, Yamamoto T, Matsumura A. Correlations of vascular architecture and angiogenesis with pituitary adenoma histotype. Int J Endocrinol 2014;2014:989574
  19. Secil M, Obuz F, Altay C, et al. The role of dynamic subtraction MRI in detection of hepatocellular carcinoma. Diagn Interv Radiol 2008;14:200-204
  20. Yu JS, Kim YH, Rofsky NM. Dynamic subtraction magnetic resonance imaging of cirrhotic liver: assessment of high signal intensity lesions on nonenhanced T1-weighted images. J Comput Assist Tomogr 2005;29:51-58 https://doi.org/10.1097/01.rct.0000152846.06095.b3
  21. Tay KL, Yang JL, Phal PM, Lim BG, Pascoe DM, Stella DL. Assessing signal intensity change on well-registered images: comparing subtraction, color-encoded subtraction, and parallel display formats. Radiology 2011;260:400-407 https://doi.org/10.1148/radiol.11101092
  22. Yu JS, Rofsky NM. Dynamic subtraction MR imaging of the liver: advantages and pitfalls. AJR Am J Roentgenol 2003;180:1351-1357 https://doi.org/10.2214/ajr.180.5.1801351
  23. Sundarakumar DK, Wilson GJ, Osman SF, Zaidi SF, Maki JH. Evaluation of image registration in subtracted 3D dynamic contrast-enhanced MRI of treated hepatocellular carcinoma. AJR Am J Roentgenol 2015;204:287-296 https://doi.org/10.2214/AJR.13.12417
  24. Chenevert TL, Malyarenko DI, Newitt D, et al. Errors in quantitative image analysis due to platform-dependent image scaling. Transl Oncol 2014;7:65-71 https://doi.org/10.1593/tlo.13811
  25. Feldmar J, Ayache N. Rigid, affine and locally affine registation of free-form surfaces. Int J Comput Vis 1996;18:99-119 https://doi.org/10.1007/BF00054998
  26. Harrigan CJ, Peters DC, Gibson CM, et al. Hypertrophic cardiomyopathy: quantification of late gadolinium enhancement with contrast-enhanced cardiovascular MR imaging. Radiology 2011;258:128-133 https://doi.org/10.1148/radiol.10090526
  27. Saade C, El-Merhi F, Mayat A, Brennan PC, Yousem D. Comparison of standard and quadruple-phase contrast material injection for artifacts, image quality, and radiation dose in the evaluation of head and neck cancer metastases. Radiology 2016;279:571-577 https://doi.org/10.1148/radiol.2015150511
  28. Halligan S, Altman DG, Mallett S. Disadvantages of using the area under the receiver operating characteristic curve to assess imaging tests: a discussion and proposal for an alternative approach. Eur Radiol 2015;25:932-939 https://doi.org/10.1007/s00330-014-3487-0
  29. Jagannathan J, Dumont A, Jane JA Jr. Diagnosis and management of pediatric sellar lesions. In Laws ER Jr, Sheehan JP, eds. Pituitary surgery - a modern approach. Front Horm Res. Basel: Karger, 2006:83-104
  30. Jagannathan J, Dumont AS, Jane JA Jr, Laws ER Jr. Pediatric sellar tumors: diagnostic procedures and management. Neurosurg Focus 2005;18:E6
  31. Ikeda H, Abe T, Watanabe K. Usefulness of composite methionine-positron emission tomography/3.0-tesla magnetic resonance imaging to detect the localization and extent of early-stage Cushing adenoma. J Neurosurg 2010;112:750-755 https://doi.org/10.3171/2009.7.JNS09285
  32. Colao A, Boscaro M, Ferone D, Casanueva FF. Managing Cushing's disease: the state of the art. Endocrine 2014;47:9-20 https://doi.org/10.1007/s12020-013-0129-2
  33. Elster AD. High-resolution, dynamic pituitary MR imaging: standard of care or academic pastime? AJR Am J Roentgenol 1994;163:680-682 https://doi.org/10.2214/ajr.163.3.8079867
  34. Kucharczyk W, Bishop JE, Plewes DB, Keller MA, George S. Detection of pituitary microadenomas: comparison of dynamic keyhole fast spin-echo, unenhanced, and conventional contrast-enhanced MR imaging. AJR Am J Roentgenol 1994;163:671-679 https://doi.org/10.2214/ajr.163.3.8079866
  35. Rossi Espagnet MC, Bangiyev L, Haber M, et al. High-Resolution DCE-MRI of the pituitary gland using radial k-space acquisition with compressed sensing reconstruction. AJNR Am J Neuroradiol 2015;36:1444- 1449 https://doi.org/10.3174/ajnr.A4324
  36. Kartal MG, Algin O. Evaluation of hydrocephalus and other cerebrospinal fluid disorders with MRI: An update. Insights Imaging 2014;5:531-541 https://doi.org/10.1007/s13244-014-0333-5
  37. Wang J, Wu Y, Yao Z, Yang Z. Assessment of pituitary micro-lesions using 3D sampling perfection with application-optimized contrasts using different flip-angle evolutions. Neuroradiology 2014;56:1047-1053 https://doi.org/10.1007/s00234-014-1432-1
  38. Fritz J, Fritz B, Thawait GG, Meyer H, Gilson WD, Raithel E. Three-dimensional CAIPIRINHA SPACE TSE for 5-minute high-resolution MRI of the knee. Invest Radiol 2016;51:609-617 https://doi.org/10.1097/RLI.0000000000000287
  39. Fritz J, Ahlawat S, Demehri S, et al. Compressed sensing SEMAC: 8-fold accelerated high resolution metal artifact reduction MRI of cobalt-chromium knee arthroplasty implants. Invest Radiol 2016;51:666-676 https://doi.org/10.1097/RLI.0000000000000317
  40. Schulze M, Reimann K, Seeger A, Klose U, Ernemann U, Hauser TK. Improvement in imaging common temporal bone pathologies at 3 T MRI: small structures benefit from a small field of view. Clin Radiol 2017;72:267 e261-267 e212
  41. Seeger A, Schulze M, Schuettauf F, Klose U, Ernemann U, Hauser TK. Feasibility and evaluation of dual-source transmit 3D imaging of the orbits: comparison to high-resolution conventional MRI at 3T. Eur J Radiol 2015;84:1150-1158 https://doi.org/10.1016/j.ejrad.2015.03.008
  42. Vitale G, Tortora F, Baldelli R, et al. Pituitary magnetic resonance imaging in Cushing's disease. Endocrine 2017;55:691-696 https://doi.org/10.1007/s12020-016-1038-y
  43. Fushimi Y, Okada T, Kanagaki M, et al. 3D dynamic pituitary MR imaging with CAIPIRINHA: initial experience and comparison with 2D dynamic MR imaging. Eur J Radiol 2014;83:1900-1906 https://doi.org/10.1016/j.ejrad.2014.06.018