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Related Experiment Video

Updated: Feb 22, 2026

Endoscopic Endonasal Trans-sphenoidal Approach: Minimally Invasive Surgery for Pituitary Adenomas
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iMRI During Transsphenoidal Surgery.

Prashant Chittiboina1

  • 1Neurosurgery Unit for Pituitary and Inheritable Diseases, National Institute of Neurological Diseases and Stroke, National Institutes of Health, 10 Center Drive, Room 3D20, Bethesda, MD 20892-1414, USA.

Neurosurgery Clinics of North America
|September 18, 2017
PubMed
Summary
This summary is machine-generated.

Intraoperative MRI (iMRI) during transsphenoidal surgery (TSS) enhances tumor resection and detection of residual tumors. iMRI use improves outcomes for large and hormone-secreting tumors, aiding in complication management.

Keywords:
AdenomaInterventionalIntraoperativeMRIPituitaryTranssphenoidaliMRI

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Endocrinology

Background:

  • Transsphenoidal surgery (TSS) is a common procedure for pituitary and skull base tumors.
  • Intraoperative MRI (iMRI) systems vary in field strength, magnet, and room configuration.
  • The utility of iMRI in TSS is increasingly recognized.

Purpose of the Study:

  • To discuss the history, indications, and future directions of iMRI in TSS.
  • To highlight the benefits of iMRI in improving surgical outcomes.

Main Methods:

  • Review of existing literature on iMRI use in TSS.
  • Analysis of iMRI system variations and their impact.
  • Evaluation of reported outcomes associated with iMRI use.

Main Results:

  • iMRI primarily aids in detecting resectable tumor residuals post-resection.
  • iMRI enhances stereotaxis, neuronavigation, and complication detection/avoidance.
  • iMRI use correlates with increased extent of resection for large tumors and improved remission rates for hormone-secreting tumors.

Conclusions:

  • iMRI is a valuable tool in TSS, improving resection completeness and patient outcomes.
  • Further research into iMRI applications and system optimization is warranted.
  • iMRI integration into TSS protocols is likely to expand.