Objective: To assess the contribution of low-field intraoperative magnetic resonance (iMRI) to endoscopic pituitary surgery.

Methods: We analyzed a prospective series of patients undergoing endoscopic endonasal surgery for pituitary macroadenomas assisted with a low-field iMRI (PoleStarN30, 0.15 T [Medtronic]). Clinical, radiologic, and surgical variables were analyzed and compared with our fully endoscopic historic cohort operated on without iMRI assistance. A bibliographic review of pituitary surgery assisted with iMRI was conducted.

Results: Thirty patients (57% female; mean age, 55 years) were prospectively analyzed. The most frequent tumor subtype was nonfunctioning macroadenoma (50%). The average Knosp grade was 2.3 and mean tumor size was 18 mm. Surgical and positioning time were 102 and 47 minutes, respectively. Hospital stay and complication rates were similar to our historical cohort for pituitary surgery. Mean follow-up was 10 months. Complete resection (CR) was achieved in 83% of patients. Seven patients (23%) benefited from iMRI assistance and achieved a CR in their surgeries. All patients except 1 experienced hormonal activity remission. iMRI sensitivity and specificity was 0.8 and 1, respectively. Although not statistically significant, CR rates were globally 11.5% superior in iMRI series compared with our historical cohort. This difference was independent of cavernous sinus invasiveness grade (CR rate increased 12.5% for Knosp grade 0-2 and 8.1% for Knosp grade 3-4).

Conclusions: Low-field iMRI is a useful and safe assistance even in advanced surgical techniques such as endoscopy. Its contribution is limited by the intrinsic features of the tumor. Further randomized studies are required to confirm the cost-effectiveness of iMRI in pituitary surgery.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.wneu.2017.02.094DOI Listing

Publication Analysis

Top Keywords

pituitary surgery
12
knosp grade
12
imri
9
low-field intraoperative
8
intraoperative magnetic
8
magnetic resonance
8
endoscopic pituitary
8
low-field imri
8
imri assistance
8
historical cohort
8

Similar Publications

A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study.

Front Endocrinol (Lausanne)

December 2024

Department of Neurosurgery, Binhai Branch of Nation al Regional Medical Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China.

Objective: Preoperative prediction of visual recovery after pituitary adenoma resection surgery remains challenging. This study aimed to investigate the value of clinical and radiological features in preoperatively predicting visual outcomes after surgery.

Methods: Patients undergoing endoscopic transsphenoidal surgery (ETS) for pituitary adenoma were included in this retrospective and prospective study.

View Article and Find Full Text PDF

[Application of enhanced recovery after surgery in pituitary surgery].

Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi

December 2024

Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases, Yantai Key Laboratory of Otorhinolaryngologic Diseases, Yantai264000, China.

View Article and Find Full Text PDF

Purpose: Studies focused on the effects of sellar and/or perisellar (S/PS) meningiomas on pituitary function are scarce. The primary objective of the present study was to determinate the effects that S/PS meningiomas and their treatments have on pituitary function. Also, we described the clinical characteristics and therapeutic outcomes of the cohort of adult Spanish patients.

View Article and Find Full Text PDF

Background: This historical account reviews the course and lasting impact of Dr. Harvey Cushing (1869-1939) in neurosurgery.

Methods: The writing of this project was sparked by the discovery of original scientific and bibliographical information about Cushing.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!