Literature DB >> 18173308

Preoperative depiction of cavernous sinus invasion by pituitary macroadenoma using three-dimensional anisotropy contrast periodically rotated overlapping parallel lines with enhanced reconstruction imaging on a 3-tesla system.

Yuichiro Yoneoka1, Naoto Watanabe, Hitoshi Matsuzawa, Itaru Tsumanuma, Satoshi Ueki, Tsutomu Nakada, Yukihiko Fujii.   

Abstract

OBJECTIVES: Three-dimensional anisotropy contrast (3DAC) magnetic resonance (MR) imaging provides clear depiction of neuronal fibers. The aim of this study was to identify intracavernous cranial nerves in patients with pituitary macro-adenoma and in healthy volunteers by using 3DAC MR imaging on a 3-tesla system and to preoperatively predict cavernous sinus invasion by pituitary macroadenoma.
METHODS: Thirty-three patients (cavernous sinuses in 66 sides) with pituitary macroadenomas and 25 healthy volunteers (50 sides) participated in this study. Coronal 3DAC MR images constructed from diffusion weighted images, acquired with periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) sequences, and T2-weighted reverse images were obtained at the same anatomical locations using a 3-tesla MR imaging system. Attempts were made to identify the cranial nerves.
RESULTS: The oculomotor and ophthalmic/maxillary nerves were preoperatively identified in all sides (66 sides in patients and 50 sides in healthy volunteers) on 3DAC MR images. In the 33 patients, cavernous sinus invasion was revealed in 10 (12 [18.2%] of 66 sides) by intraoperative endoscopic observation. Coronal 3DAC MR images revealed that the oculomotor nerves were half surrounded with adenoma in all 12 of these sides, and the ophthalmic/maxillary nerves were half encapsulated with tumor (sensitivity/specificity: 100%/100% and 83%/100%, respectively).
CONCLUSIONS: Preoperative evaluation of pituitary macroadenomas using 3DAC PROPELLER MR imaging on a 3-tesla system is likely to be a powerful noninvasive method of detecting cavernous sinus invasion, which can potentially dominate the therapeutic strategy for these lesions.

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Year:  2008        PMID: 18173308     DOI: 10.3171/JNS/2008/108/01/0037

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  3 in total

1.  A Convolutional Neural Network Model for Detecting Sellar Floor Destruction of Pituitary Adenoma on Magnetic Resonance Imaging Scans.

Authors:  Tianshun Feng; Yi Fang; Zhijie Pei; Ziqi Li; Hongjie Chen; Pengwei Hou; Liangfeng Wei; Renzhi Wang; Shousen Wang
Journal:  Front Neurosci       Date:  2022-07-04       Impact factor: 5.152

2.  Quantitative analysis of anatomical relationship between cavernous segment internal carotid artery and pituitary macroadenoma.

Authors:  Bon-Jour Lin; Tzu-Tsao Chung; Meng-Chi Lin; Chin Lin; Dueng-Yuan Hueng; Yuan-Hao Chen; Chung-Ching Hsia; Da-Tong Ju; Hsin-I Ma; Ming-Ying Liu; Chi-Tun Tang
Journal:  Medicine (Baltimore)       Date:  2016-10       Impact factor: 1.889

3.  Temozolomide therapy for aggressive functioning pituitary adenomas refractory to surgery and radiation: a case series.

Authors:  Justin T Jordan; Julie J Miller; Tucker Cushing; Marlon Seijo; Tracy T Batchelor; Isabel C Arrillaga-Romany; Helen A Shih; Lisa B Nachtigall; Jay S Loeffler; Jorg Dietrich
Journal:  Neurooncol Pract       Date:  2017-05-26
  3 in total

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