Literature DB >> 1838550

Pituitary tumor volume as a predictor of postoperative visual field recovery. Quantitative analysis using automated static perimetry and computed tomography morphometry.

H Hudson1, C Rissell, W J Gauderman, S E Feldon.   

Abstract

We attempted to define the relationship between the volume of pituitary adenomas and postoperative visual field recovery. Fourteen consecutive patients (27 eyes) were studied who presented with visual complaints and who were confirmed to have pituitary macroadenomas at the time of resection. For each eye, preoperative visual field loss in each quadrant as well as whole field loss were analyzed. Tumor volume was determined from computed tomography scans by summing serial axial sections. Statistically significant correlations (p less than 0.05) of preoperative superonasal and whole visual field loss with tumor volume were found. Postoperative visual field recovery was determined for each patient by subtracting the postoperative visual field loss from the preoperative field loss. Postoperative inferonasal field recovery was significantly correlated (p less than 0.01) with whole tumor volume, with markedly greater recovery in patients with tumor volumes of 5 cc or less. In general, tumor volume proved to be a poor predictor of postoperative visual field recovery.

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Mesh:

Year:  1991        PMID: 1838550

Source DB:  PubMed          Journal:  J Clin Neuroophthalmol        ISSN: 0272-846X


  6 in total

1.  Prognostic factors of visual field improvement after trans-sphenoidal approach for pituitary macroadenomas: review of the literature and analysis by quantitative method.

Authors:  Lina Raffaella Barzaghi; Marzia Medone; Marco Losa; Stefania Bianchi; Massimo Giovanelli; Pietro Mortini
Journal:  Neurosurg Rev       Date:  2011-11-15       Impact factor: 3.042

2.  Quantitative visual pathway abnormalities predict visual field defects in patients with pituitary adenomas: a diffusion spectrum imaging study.

Authors:  Lihong Liang; Hai Lin; Fan Lin; Jihu Yang; Hanwen Zhang; Liang Zeng; Yaqiong Hu; Weiwu Lan; Hua Zhong; Hong Zhang; Siping Luo; Yongqian Mo; Weihua Li; Yi Lei
Journal:  Eur Radiol       Date:  2021-04-24       Impact factor: 5.315

3.  Using sellar region tumor's size as a predictor of psychophysical and electrophysiological perimetric visual losses: a logistic regression approach.

Authors:  Carlos Augusto Ferreira Lobão; Letícia Miquilini; Breno Simões Ribeiro da Silva; Verônica Gabriela Ribeiro da Silva; Eliza Maria da Costa Brito Lacerda; Alexandre Antônio Marques Rosa; Givago da Silva Souza
Journal:  Doc Ophthalmol       Date:  2019-07-23       Impact factor: 2.379

4.  Predictive factors for vision recovery after optic nerve decompression for chronic compressive neuropathy: systematic review and meta-analysis.

Authors:  Andrew P Carlson; Martina Stippler; Orrin Myers
Journal:  J Neurol Surg B Skull Base       Date:  2012-11-26

Review 5.  Visual fields in neuro-ophthalmology.

Authors:  Sachin Kedar; Deepta Ghate; James J Corbett
Journal:  Indian J Ophthalmol       Date:  2011 Mar-Apr       Impact factor: 1.848

6.  Machine Learning Prediction of Visual Outcome after Surgical Decompression of Sellar Region Tumors.

Authors:  Nidan Qiao; Yichen Ma; Xiaochen Chen; Zhao Ye; Hongying Ye; Zhaoyun Zhang; Yongfei Wang; Zhaozeng Lu; Zhiliang Wang; Yiqin Xiao; Yao Zhao
Journal:  J Pers Med       Date:  2022-01-25
  6 in total

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