J Neurol Surg B Skull Base 2021; 82(03): 303-312
DOI: 10.1055/s-0039-3400222
Original Article

Utility of 7 Tesla MRI for Preoperative Planning of Endoscopic Endonasal Surgery for Pituitary Adenomas

John W. Rutland
1   Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
2   Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, United States
,
Bradley N. Delman
1   Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
3   Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
,
Rebecca E. Feldman
1   Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
,
Nadejda Tsankova
4   Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
,
Hung-Mo Lin
5   Department of Population Health Science and Policy, Mount Sinai Hospital, New York, New York, United States
,
Francesco Padormo
1   Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
6   Department of Medical Physics, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
,
Raj K. Shrivastava*
2   Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, United States
,
Priti Balchandani*
1   Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
› Author Affiliations
Funding National Institutes of Health (grant/award number: NIH R01 CA202911).

Abstract

Objective There is increasing interest in investigating the utility of 7 Tesla (7 T) magnetic resonance imaging (MRI) for imaging of skull base tumors. The present study quantifies visualization of tumor features and adjacent skull base anatomy in a homogenous cohort of pituitary adenoma patients.

Methods Eighteen pituitary adenoma patients were scanned at 7 T in this prospective study. All patients had reference standard-of-care clinical imaging at either 3 T (7/18, 39%) or 1.5 T (11/18, 61%). Visualization of tumor features and conspicuity of arteries and cranial nerves (CNs) was rated by an expert neuroradiologist on 7 T and clinical field strength MRI. Overall image quality and severity of image artifacts were also characterized and compared.

Results Ability to visualize tumor features did not differ between 7 T and lower field MRI. Cranial nerves III, IV, and VI were better detected at 7 T compared with clinical field strength scans. Cranial nerves III, IV, and VI were also better detected at 7 T compared with only 1.5 T, and CN III was better visualized at 7 T compared with 3 T MRI. The ophthalmic arteries and posterior communicating arteries (PCOM) were better detected at 7 T compared with clinical field strength imaging. The 7 T also provided better visualization of the ophthalmic arteries compared with 1.5 T scans.

Conclusion This study demonstrates that 7 T MRI is feasible at the skull base and identifies various CNs and branches of the internal carotid artery that were better visualized at 7 T. The 7 T MRI may offer important preoperative information that can help to guide resection of pituitary adenoma and reduce operative morbidity.

* Co-last authors




Publication History

Received: 22 June 2019

Accepted: 28 September 2019

Article published online:
21 November 2019

© 2019. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 Chatzellis E, Alexandraki KI, Androulakis II, Kaltsas G. Aggressive pituitary tumors. Neuroendocrinology 2015; 101 (02) 87-104
  • 2 Barzaghi LR, Losa M, Giovanelli M, Mortini P. Complications of transsphenoidal surgery in patients with pituitary adenoma: experience at a single centre. Acta Neurochir (Wien) 2007; 149 (09) 877-885 , discussion 885–886
  • 3 Cohen AR, Cooper PR, Kupersmith MJ, Flamm ES, Ransohoff J. Visual recovery after transsphenoidal removal of pituitary adenomas. Neurosurgery 1985; 17 (03) 446-452
  • 4 Jahangiri A, Wagner JR, Han SW. et al. Improved versus worsened endocrine function after transsphenoidal surgery for nonfunctional pituitary adenomas: rate, time course, and radiological analysis. J Neurosurg 2016; 124 (03) 589-595
  • 5 Agam M, Carmichael JD, Weiss MH, Zada G, Wedemeyer MA. 152 complications associated with transsphenoidal pituitary surgery: experience of 1171 consecutive cases treated at a single tertiary care pituitary center. Neurosurgery 2017; 64 (CN_suppl_1): 237-237
  • 6 Cappabianca P, Cavallo LM, Colao A, de Divitiis E. Surgical complications associated with the endoscopic endonasal transsphenoidal approach for pituitary adenomas. J Neurosurg 2002; 97 (02) 293-298
  • 7 Dolati P, Eichberg D, Golby A, Zamani A, Laws E. Multimodal navigation in endoscopic transsphenoidal resection of pituitary tumors using image-based vascular and cranial nerve segmentation: a prospective validation study. World Neurosurg 2016; 95: 406-413
  • 8 Ono K, Arai H, Endo T. et al. Detailed MR imaging anatomy of the abducent nerve: evagination of CSF into Dorello canal. AJNR Am J Neuroradiol 2004; 25 (04) 623-626
  • 9 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 (01) 271-277
  • 10 Balchandani P, Naidich TP. Ultra-high-field MR neuroimaging. AJNR Am J Neuroradiol 2015; 36 (07) 1204-1215
  • 11 Veersema TJ, Ferrier CH, van Eijsden P. et al. Seven tesla MRI improves detection of focal cortical dysplasia in patients with refractory focal epilepsy. Epilepsia Open 2017; 2 (02) 162-171
  • 12 Inglese M, Fleysher L, Oesingmann N, Petracca M. Clinical applications of ultra-high field magnetic resonance imaging in multiple sclerosis. Expert Rev Neurother 2018; 18 (03) 221-230
  • 13 Ali R, Goubran M, Choudhri O, Zeineh MM. Seven-Tesla MRI and neuroimaging biomarkers for Alzheimer's disease. Neurosurg Focus 2015; 39 (05) E4
  • 14 Barrett TF, Dyvorne HA, Padormo F. et al. First application of 7-T magnetic resonance imaging in endoscopic endonasal surgery of skull base tumors. World Neurosurg 2017; 103: 600-610
  • 15 Law M, Wang R, Liu C-SJ. et al. Value of pituitary gland MRI at 7 T in Cushing's disease and relationship to inferior petrosal sinus sampling: case report. J Neurosurg 2018; 130 (02) 347
  • 16 Tomayko MM, Reynolds CPJCC. Determination of subcutaneous tumor size in athymic (nude) mice. Cancer Chemother Pharmacol 1989; 24 (03) 148-154
  • 17 Haller S, Etienne L, Kövari E, Varoquaux AD, Urbach H, Becker M. Imaging of neurovascular compression syndromes: trigeminal neuralgia, hemifacial spasm, vestibular paroxysmia, and glossopharyngeal neuralgia. AJNR Am J Neuroradiol 2016; 37 (08) 1384-1392
  • 18 Jani RH, Hughes MA, Gold MS, Branstetter BF, Ligus ZE, Sekula Jr RF. Trigeminal nerve compression without trigeminal neuralgia: intraoperative vs imaging evidence. Neurosurgery 2019; 84 (01) 60-65
  • 19 Moon HC, You ST, Baek HM. et al. 7.0 Tesla MRI tractography in patients with trigeminal neuralgia. Magn Reson Imaging 2018; 54: 265-270
  • 20 Chen DQ, Quan J, Guha A, Tymianski M, Mikulis D, Hodaie M. Three-dimensional in vivo modeling of vestibular schwannomas and surrounding cranial nerves with diffusion imaging tractography. Neurosurgery 2011; 68 (04) 1077-1083
  • 21 Gerganov VM, Giordano M, Samii M, Samii A. Diffusion tensor imaging-based fiber tracking for prediction of the position of the facial nerve in relation to large vestibular schwannomas. J Neurosurg 2011; 115 (06) 1087-1093
  • 22 Jouanneau E, Jacquesson T, Bosc J. et al. Probabilistic tractography to predict the position of cranial nerves displaced by skull base tumors: value for surgical strategy through a case series of 62 patients. 2019; 85 (01) E125-E136
  • 23 Hoang N, Tran DK, Herde R, Couldwell GC, Osborn AG, Couldwell WT. Pituitary macroadenomas with oculomotor cistern extension and tracking: implications for surgical management. J Neurosurg 2016; 125 (02) 315-322
  • 24 Woodworth GF, Patel KS, Shin B. et al. Surgical outcomes using a medial-to-lateral endonasal endoscopic approach to pituitary adenomas invading the cavernous sinus. J Neurosurg 2014; 120 (05) 1086-1094
  • 25 Shkarubo AN, Chernov IV, Ogurtsova AA. et al. Cranial nerve monitoring in endoscopic endonasal surgery of skull base tumors (observing of 23 cases). Chinese Neurosurgical Journal. 2018; 4 (01) 38
  • 26 Cheng YS, Zhou ZR, Peng WJ, Tang F. Three-dimensional-fast imaging employing steady-state acquisition and T2-weighted fast spin-echo magnetic resonance sequences on visualization of cranial nerves III - XII. Chin Med J (Engl) 2008; 121 (03) 276-279
  • 27 Fernandez-Miranda JC, Zwagerman NT, Abhinav K. et al. Cavernous sinus compartments from the endoscopic endonasal approach: anatomical considerations and surgical relevance to adenoma surgery. J Neurosurg 2017; 129 (02) 430-441
  • 28 Barges-Coll J, Fernandez-Miranda JC, Prevedello DM. et al. Avoiding injury to the abducens nerve during expanded endonasal endoscopic surgery: anatomic and clinical case studies. Neurosurgery 2010; 67 (01) 144-154 , discussion 154
  • 29 Mikami T, Minamida Y, Yamaki T, Koyanagi I, Nonaka T, Houkin K. Cranial nerve assessment in posterior fossa tumors with fast imaging employing steady-state acquisition (FIESTA). Neurosurg Rev 2005; 28 (04) 261-266
  • 30 Duek I, Sviri GE, Amit M, Gil Z. Endoscopic endonasal repair of internal carotid artery injury during endoscopic endonasal surgery. J Neurol Surg Rep 2017; 78 (04) e125-e128
  • 31 Rowan NR, Turner MT, Valappil B. et al. Injury of the carotid artery during endoscopic endonasal surgery: surveys of skull base surgeons. J Neurol Surg B Skull Base 2018; 79 (03) 302-308
  • 32 Chin OY, Ghosh R, Fang CH, Baredes S, Liu JK, Eloy JA. Internal carotid artery injury in endoscopic endonasal surgery: A systematic review. Laryngoscope 2016; 126 (03) 582-590
  • 33 Bae KT, Park SH, Moon CH, Kim JH, Kaya D, Zhao T. Dual-echo arteriovenography imaging with 7T MRI. J Magn Reson Imaging 2010; 31 (01) 255-261
  • 34 Romero ADCB, Lal Gangadharan J, Bander ED, Gobin YP, Anand VK, Schwartz TH. Managing arterial injury in endoscopic skull base surgery: case series and review of the literature. Operative Neurosurgery 2016; 13 (01) 138-149
  • 35 Ambarki K, Hallberg P, Jóhannesson G. et al. Blood flow of ophthalmic artery in healthy individuals determined by phase-contrast magnetic resonance imaging. Invest Ophthalmol Vis Sci 2013; 54 (04) 2738-2745
  • 36 Kassam A, Snyderman CH, Mintz A, Gardner P, Carrau RL. Expanded endonasal approach: the rostrocaudal axis. Part II. Posterior clinoids to the foramen magnum. Neurosurg Focus 2005; 19 (01) E4
  • 37 Vargas MI, Delavelle J, Kohler R, Becker CD, Lovblad K. Brain and spine MRI artifacts at 3Tesla. J Neuroradiol 2009; 36 (02) 74-81
  • 38 Stadlbauer A, Buchfelder M, Nimsky C. et al. Proton magnetic resonance spectroscopy in pituitary macroadenomas: preliminary results. J Neurosurg 2008; 109 (02) 306-312
  • 39 Mahalingappa YB, Khalil HS. Sinonasal malignancy: presentation and outcomes. J Laryngol Otol 2014; 128 (07) 654-657
  • 40 Förander P, Bartek Jr J, Fagerlund M. et al. Multidisciplinary management of clival chordomas; long-term clinical outcome in a single-institution consecutive series. Acta Neurochir (Wien) 2017; 159 (10) 1857-1868