ArticleJournal of neuro-oncology2016
Predictive model for recovery of visual field after surgery of pituitary adenoma.
Article in Journal of neuro-oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The role of optical coherence tomography in the evaluation of para-chiasmal lesions: a systematic review and meta-analysis.Frontiers in ophthalmology · 2025Pooled it
- Clinical efficacy of optical coherence tomography in sellar mass lesions: a meta-analysis.Pituitary · 2020Pooled it
- Preoperative radiological compression features and their relationship with pre- and postoperative visual field defects in pituitary macroadenomas: a retrospective cohort from the neuro-ophthalmological clinic.Frontiers in ophthalmology · 2026Article
- Neuro-ophthalmic evaluation and management of pituitary disease.Eye (London, England) · 2024Review
- Predictive visual field outcomes after optic chiasm decompressive surgery by retinal vessels parameters using optical coherence tomography angiography.International journal of ophthalmology · 2024Article
- Compressive optic neuropathy by pituitary adenoma: may making radiomics delta provide prognostic value after surgery?European radiology · 2023Article
- Predicting visual recovery in pituitary adenoma patients post-endoscopic endonasal transsphenoidal surgery: Harnessing delta-radiomics of the optic chiasm from MRI.European radiology · 2023Article
- Visual field improvement after endoscopic transsphenoidal surgery in patients with pituitary adenoma.Frontiers in oncology · 2023Article
- Ganglion cell inner plexiform layer thickness measured by optical coherence tomography to predict visual outcome in chiasmal compression.Scientific reports · 2022Article
- Machine Learning Prediction of Visual Outcome after Surgical Decompression of Sellar Region Tumors.Journal of personalized medicine · 2022Article
- Novel Nomograms to Predict Delayed Hyponatremia After Transsphenoidal Surgery for Pituitary Adenoma.Frontiers in endocrinology · 2022Article
- Machine Learning-Based Radiomics of the Optic Chiasm Predict Visual Outcome Following Pituitary Adenoma Surgery.Journal of personalized medicine · 2021Article
- Visual acuity and its postoperative outcome after transsphenoidal adenoma resection.Neurosurgical review · 2021Article
- Visual Outcomes after Endoscopic Endonasal Transsphenoidal Resection of Pituitary Adenomas: Our Institutional Experience.Journal of neurological surgery. Part B, Skull base · 2021Article
- Prognostic Utility of Optical Coherence Tomography for Visual Outcome After Extended Endoscopic Endonasal Surgery for Adult Craniopharyngiomas.Frontiers in oncology · 2021Article
- Review
- Segmented retinal layer analysis of chiasmal compressive optic neuropathy in pituitary adenoma patients.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020Observational
- Factors Influencing Visual Field Recovery after Transsphenoidal Resection of a Pituitary Adenoma.Korean journal of ophthalmology : KJO · 2018Article
- Predictive value of preoperative retinal nerve fiber layer thickness for postoperative visual recovery in patients with chiasmal compression.Oncotarget · 2017Article
- Invited Commentary: Ganglion Cell Complex Measurement in Compressive Optic Neuropathy.Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society · 2017Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Visual field defect is a major indication for surgery of pituitary adenoma, but visual outcome after surgery is difficult to predict. We developed a nomogram that predicts postoperative restoration of visual field defects in patients with pituitary adenoma. This study was a retrospective cohort investigation of patients who were treated for pituitary adenoma between January 2009 and December 2013. We enrolled 111 eyes of 57 patients who completed one ophthalmological evaluation preoperatively and at least two evaluations within 6 months after surgery. Serial changes in visual fields and retinal nerve fiber layer (RNFL) thickness were evaluated. Multiple logistic regression analysis was performed to select prognostic variables, and a nomogram to predict restoration of visual field defects was constructed. Visual field defects continuously improved until 3 months after surgery. However, average, superior, and inferior RNFL thickness continuously decreased until 6 months after surgery. Multiple logistic regression analysis revealed that worse preoperative visual field defect (p = 0.018), high MRI compression grade (p = 0.009), and inferior RNFL thinning (p = 0.011) were significantly associated with worse visual outcome. The nomogram that predicts the visual restoration showed an area under the receiver operating characteristic curve of 0.84. In conclusion, we developed a nomogram that predicted the restoration of visual field defects after removal of pituitary adenoma. This would allow tailored counseling of individual patients by precisely predicting visual recovery after surgery.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.