Literature DB >> 31628280

Primary visual cortical thickness in correlation with visual field defects in patients with pituitary macroadenomas: a structural 7-Tesla retinotopic analysis.

John W Rutland1,2, Bradley N Delman1,3, Kuang-Han Huang1, Gaurav Verma1, Noah C Benson4, Dillan F Villavisanis1, Hung-Mo Lin5, Joshua B Bederson2, James Chelnis6, Raj K Shrivastava2, Priti Balchandani1.   

Abstract

OBJECTIVE: Vision loss remains a debilitating complication of pituitary adenomas, although there is considerable variability in visual impairment before and after decompression surgery. Growing evidence suggests secondary damage to remote visual structures may contribute to vision loss in patients with chiasmatic compression. The present study leverages ultrahigh field 7-T MRI to study the retinotopic organization of the primary visual cortex (V1), and correlates visual defects with cortical thinning in V1 to characterize consequences of pituitary adenomas on the posterior visual system.
METHODS: Eight patients (4 males and 4 females, mean age 44.3 years) with pituitary adenomas who exhibited chiasmatic compression and visual field defects, as well as 8 matched healthy controls (4 males and 4 females, mean age 43.3 years), were scanned at 7-T MRI for this prospective study. Whole-brain cortical thickness was calculated using an automated algorithm. A previously published surface-based algorithm was applied to associate the eccentricity and polar angle with each position in V1. Cortical thickness was calculated at each point in the retinotopic organization, and a cortical thickness ratio was generated against matched controls for each point in the visual fields. Patients with adenoma additionally underwent neuroophthalmological examination including 24-2 Humphrey automated visual field perimetry. Pattern deviation (PD) of each point in the visual field, i.e., the deviation in point detection compared with neurologically healthy controls, was correlated with cortical thickness at corresponding polar and eccentricity angles in V1.
RESULTS: Whole-brain cortical thickness was successfully derived for all patients and controls. The mean tumor volume was 19.4 cm3. The median global thickness of V1 did not differ between patients (mean ± SD 2.21 ± 0.12 cm), compared with controls (2.06 ± 0.13 cm, p > 0.05). Surface morphometry-based retinotopic maps revealed that all 8 patients with adenoma showed a significant positive correlation between PD and V1 thickness ratios (r values ranged from 0.31 to 0.53, p < 0.05). Mixed-procedure analysis revealed that PD = -8.0719 + 5.5873*[Median V1 Thickness Ratio].
CONCLUSIONS: All 8 patients showed significant positive correlations between V1 thickness and visual defect. These findings provide retinotopic maps of localized V1 cortical neurodegeneration spatially corresponding to impairments in the visual field. These results further characterize changes in the posterior visual pathway associated with chiasmatic compression, and may prove useful in the neuroophthalmological workup for patients with pituitary macroadenoma.

Entities:  

Keywords:  7-T MRI; CBF = cerebral blood flow; DTI = diffusion tensor imaging; PD = pattern deviation; RNFL = retinal nerve fiber layer; V1 = primary visual cortex; chiasmatic compression; cortical thickness; fMRI = functional MRI; neurosurgery; pituitary adenoma; pituitary surgery; primary visual cortex; retinotopy

Year:  2019        PMID: 31628280      PMCID: PMC7205160          DOI: 10.3171/2019.7.JNS191712

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


  45 in total

1.  The time course of visual field recovery following transphenoidal surgery for pituitary adenomas: predictive factors for a good outcome.

Authors:  K K Gnanalingham; S Bhattacharjee; R Pennington; J Ng; N Mendoza
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-03       Impact factor: 10.154

2.  Steal physiology is spatially associated with cortical thinning.

Authors:  Jorn Fierstra; Julien Poublanc; Jay Shou Han; Frank Silver; Michael Tymianski; Adrian Phillip Crawley; Joseph Arnold Fisher; David John Mikulis
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-03       Impact factor: 10.154

3.  Pituitary Macroadenoma and Visual Impairment: Postoperative Outcome Prediction with Contrast-Enhanced FIESTA.

Authors:  S Hisanaga; S Kakeda; J Yamamoto; K Watanabe; J Moriya; T Nagata; Y Fujino; H Kondo; S Nishizawa; Y Korogi
Journal:  AJNR Am J Neuroradiol       Date:  2017-09-14       Impact factor: 3.825

4.  Retinotopic mapping of the peripheral visual field to human visual cortex by functional magnetic resonance imaging.

Authors:  Jinglong Wu; Tianyi Yan; Zhen Zhang; Fengzhe Jin; Qiyong Guo
Journal:  Hum Brain Mapp       Date:  2012-03-22       Impact factor: 5.038

5.  Visual pathway impairment by pituitary adenomas: quantitative diagnostics by diffusion tensor imaging.

Authors:  Ylva Lilja; Oscar Gustafsson; Maria Ljungberg; Göran Starck; Bertil Lindblom; Thomas Skoglund; Henrik Bergquist; Karl-Erik Jakobsson; Daniel Nilsson
Journal:  J Neurosurg       Date:  2016-11-25       Impact factor: 5.115

6.  Gray matter alterations in visual cortex of patients with loss of central vision due to hereditary retinal dystrophies.

Authors:  Tina Plank; Jozef Frolo; Sabine Brandl-Rühle; Agnes B Renner; Karsten Hufendiek; Horst Helbig; Mark W Greenlee
Journal:  Neuroimage       Date:  2011-02-23       Impact factor: 6.556

7.  A preliminary study of the clinical application of optic pathway diffusion tensor tractography in suprasellar tumor surgery: preoperative, intraoperative, and postoperative assessment.

Authors:  Mohamadreza Hajiabadi; Madjid Samii; Rudolf Fahlbusch
Journal:  J Neurosurg       Date:  2015-12-18       Impact factor: 5.115

8.  Retinotopic organization of human ventral visual cortex.

Authors:  Michael J Arcaro; Stephanie A McMains; Benjamin D Singer; Sabine Kastner
Journal:  J Neurosci       Date:  2009-08-26       Impact factor: 6.167

9.  Altered Vision-Related Resting-State Activity in Pituitary Adenoma Patients with Visual Damage.

Authors:  Haiyan Qian; Xingchao Wang; Zhongyan Wang; Zhenmin Wang; Pinan Liu
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

10.  Alterations of regional homogeneity and functional connectivity in pituitary adenoma patients with visual impairment.

Authors:  Guidong Song; Jicheng Qiu; Chuzhong Li; Jiye Li; Songbai Gui; Haibo Zhu; Yazhuo Zhang
Journal:  Sci Rep       Date:  2017-10-12       Impact factor: 4.379

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  3 in total

Review 1.  Role of Structural, Metabolic, and Functional MRI in Monitoring Visual System Impairment and Recovery.

Authors:  Jeffrey R Sims; Anna M Chen; Zhe Sun; Wenyu Deng; Nicole A Colwell; Max K Colbert; Jingyuan Zhu; Anoop Sainulabdeen; Muneeb A Faiq; Ji Won Bang; Kevin C Chan
Journal:  J Magn Reson Imaging       Date:  2020-10-02       Impact factor: 4.813

2.  Theta oscillations in prolactinomas: Neurocognitive deficits in executive controls.

Authors:  Chenglong Cao; Wen Wen; Binbin Liu; Pan Ma; Sheng Li; Guozheng Xu; Jian Song
Journal:  Neuroimage Clin       Date:  2020-09-30       Impact factor: 4.881

3.  Decreased visual acuity is related to thinner cortex in cognitively normal adults: cross-sectional, single-center cohort study.

Authors:  Gyule Han; Ji Sun Kim; Yu Hyun Park; Sung Hoon Kang; Hang-Rai Kim; Song Hwangbo; Tae-Young Chung; Hee Young Shin; Duk L Na; Sang Won Seo; Dong Hui Lim; Hee Jin Kim
Journal:  Alzheimers Res Ther       Date:  2022-07-25       Impact factor: 8.823

  3 in total

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