Optical Coherent Tomography Predicts Long-Term Visual Outcome of Pituitary Adenoma Surgery: New Perspectives From a 5-Year Follow-up Study.


Journal

Neurosurgery
ISSN: 1524-4040
Titre abrégé: Neurosurgery
Pays: United States
ID NLM: 7802914

Informations de publication

Date de publication:
15 12 2020
Historique:
received: 13 11 2019
accepted: 24 05 2020
pubmed: 1 8 2020
medline: 16 3 2021
entrez: 1 8 2020
Statut: ppublish

Résumé

Compressive optic neuropathy is the most common indication for transsphenoidal surgery for pituitary adenomas. Optical coherence tomography (OCT) is a useful visual assessment tool for predicting postoperative visual field recovery. To analyze visual parameters and their association based on long-term follow-up. Only pituitary adenoma patients with abnormal visual field defects were selected. A total of 188 eyes from 113 patients assessed by visual field index (VFI) and 262 eyes from 155 patients assessed by mean deviation (MD) were enrolled in this study. Postoperative VFI, MD, and retinal nerve fiber layer (RNFL) thickness were evaluated and followed up. After classifying the patients into normal (>5%) and thin (<5%) RNFL groups, we investigated whether preoperative RNFL could predict visual field outcomes. We also observed how RNFL changes after surgery on a long-term basis. Both preoperative VFI and MD had a linear proportional relationship with preoperative RNFL thickness. Sustained improvement of the visual field was observed after surgery in both groups, and the degree of improvement over time in each group was similar. RNFL thickness continued to decrease until 36 mo after surgery (80.2 ± 13.3 μm to 66.6 ± 11.9 μm) while visual field continued to improve (VFI, 61.8 ± 24.5 to 84.3 ± 15.4; MD, -12.9 ± 7.3 dB to -6.3 ± 5.9 dB). Patients with thin preoperative RNFL may experience visual recovery similar to those with normal preoperative RNFL; however, the probability of normalized visual fields was not comparable. RNFL thickness showed a strong correlation with preoperative visual field defect. Long-term follow-up observation revealed a discrepancy between anatomic and functional recovery.

Sections du résumé

BACKGROUND
Compressive optic neuropathy is the most common indication for transsphenoidal surgery for pituitary adenomas. Optical coherence tomography (OCT) is a useful visual assessment tool for predicting postoperative visual field recovery.
OBJECTIVE
To analyze visual parameters and their association based on long-term follow-up.
METHODS
Only pituitary adenoma patients with abnormal visual field defects were selected. A total of 188 eyes from 113 patients assessed by visual field index (VFI) and 262 eyes from 155 patients assessed by mean deviation (MD) were enrolled in this study. Postoperative VFI, MD, and retinal nerve fiber layer (RNFL) thickness were evaluated and followed up. After classifying the patients into normal (>5%) and thin (<5%) RNFL groups, we investigated whether preoperative RNFL could predict visual field outcomes. We also observed how RNFL changes after surgery on a long-term basis.
RESULTS
Both preoperative VFI and MD had a linear proportional relationship with preoperative RNFL thickness. Sustained improvement of the visual field was observed after surgery in both groups, and the degree of improvement over time in each group was similar. RNFL thickness continued to decrease until 36 mo after surgery (80.2 ± 13.3 μm to 66.6 ± 11.9 μm) while visual field continued to improve (VFI, 61.8 ± 24.5 to 84.3 ± 15.4; MD, -12.9 ± 7.3 dB to -6.3 ± 5.9 dB).
CONCLUSION
Patients with thin preoperative RNFL may experience visual recovery similar to those with normal preoperative RNFL; however, the probability of normalized visual fields was not comparable. RNFL thickness showed a strong correlation with preoperative visual field defect. Long-term follow-up observation revealed a discrepancy between anatomic and functional recovery.

Identifiants

pubmed: 32735666
pii: 5879452
doi: 10.1093/neuros/nyaa318
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106-112

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 by the Congress of Neurological Surgeons.

Auteurs

Young Soo Chung (YS)

Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.

Minkyun Na (M)

Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.

Jihwan Yoo (J)

Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.

Woohyun Kim (W)

Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.

In-Ho Jung (IH)

Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.

Ju Hyung Moon (JH)

Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Pituitary Tumor Center, Severance Hospital, Seoul, Republic of Korea.
Yonsei Endocrine Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.

Junwon Lee (J)

Department of Ophthalmology, Yonsei University College of Medicine, Seoul, Republic of Korea.

Sun Ho Kim (SH)

Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Department of Neurosurgery, Ewha Woman's University College of Medicine, Seoul, Republic of Korea.

Eui Hyun Kim (EH)

Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Pituitary Tumor Center, Severance Hospital, Seoul, Republic of Korea.
Yonsei Endocrine Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH