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Segmented retinal layer analysis of chiasmal compressive optic neuropathy in pituitary adenoma patients

  • Neurophthalmology
  • Published:
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Abstract

Aims

To evaluate changes in the segmented retinal layers of pituitary adenoma (PA) patients and to identify the relationship between these changes and visual function.

Methods

A total of 47 (PA patients) and 22 (healthy subjects) eyes were reviewed from the medical records. The PA patients performed a visual field (VF) test before surgery and 1 month after surgery. By optical coherence tomography scanning, eight retinal layers were measured: retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer, outer nuclear layer, retinal pigment epithelium, and photoreceptor layer.

Results

The PA group showed reduced RNFL, GCL, and IPL thicknesses (p = 0.004,< 0.001,< 0.001) and thicker INL thickness (p = 0.012) than did the controls. The mean deviation of preoperative VF in the PA group was positively correlated with RNFL, GCL, and IPL thicknesses (R = 0.664, 0.720, 0.664; p < 0.001,< 0.001,< 0.001) and negatively correlated with the INL thickness (R = −0.400; p = 0.010). Among the 47 eyes, 32 eyes (68%) were included for subgroup analysis. Preoperative RNFL, GCL, and IPL thicknesses were thicker in the postoperatively improved VF group (p = 0.019, 0.009, 0.005). The preoperative cutoff values for visual recovery were 23.6 μm for RNFL thickness, 30.6 μm for GCL thickness, and 28.9 μm for IPL thickness.

Conclusion

During chiasmal compression, the thickening of the INL has presented in addition to thinning of the inner retinal layers. Also, changes in retinal anatomical structures are related to the extent of VF defect and can be used as a predictor of postoperative visual recovery.

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Abbreviations

GC:

Ganglion cell layer

INL:

Inner nuclear layer

IPL:

Inner plexiform layer

MD:

Mean deviation

MS:

Multiple sclerosis

NMO:

Neuromyelitis optica

ONL:

Outer nuclear layer

OPL:

Outer plexiform layer

PA:

Pituitary adenoma

PRL:

Photoreceptor layer

RGCs:

Retinal ganglion cells

RNFL:

Retinal nerve fiber layer

ROC:

Receiver operating characteristic

RPE:

Retinal pigment epithelium

SD-OCT:

Spectral-domain optical coherence tomography

VF:

Visual field

References

  1. Wang WF, Yang LH, Han L, Li MJ, Xiao JQ (2019) Efficacy of transsphenoidal surgery for pituitary tumor: a protocol for systematic review. Medicine (Baltimore) 98:e14434

    Article  Google Scholar 

  2. Kim TG, Jin KH, Kang J (2019) Clinical characteristics and ophthalmologic findings of pituitary adenoma in Korean patients. Int Ophthalmol 39:21–31

    Article  Google Scholar 

  3. Kanamori A, Catrinescu MM, Belisle JM, Costantino S, Levin LA (2012) Retrograde and Wallerian axonal degeneration occur synchronously after retinal ganglion cell axotomy. Am J Pathol 181:62–73

    Article  Google Scholar 

  4. Lee J, Kim SW, Kim DW, Shin JY, Choi M, Oh MC, Kim SM, Kim EH, Kim SH, Byeon SH (2016) Predictive model for recovery of visual field after surgery of pituitary adenoma. J Neuro-Oncol 130:155–164

    Article  Google Scholar 

  5. Yum HR, Park SH, Park HY, Shin SY (2016) Macular ganglion cell analysis determined by cirrus HD optical coherence tomography for early detecting Chiasmal compression. PLoS One 11:e0153064

    Article  Google Scholar 

  6. Danesh-Meyer HV, Papchenko T, Savino PJ, Law A, Evans J, Gamble GD (2008) In vivo retinal nerve fiber layer thickness measured by optical coherence tomography predicts visual recovery after surgery for parachiasmal tumors. Invest Ophthalmol Vis Sci 49:1879–1885

    Article  Google Scholar 

  7. Jacob M, Raverot G, Jouanneau E, Borson-Chazot F, Perrin G, Rabilloud M, Tilikete C, Bernard M, Vighetto A (2009) Predicting visual outcome after treatment of pituitary adenomas with optical coherence tomography. Am J Ophthalmol 147(64–70):e62

    Google Scholar 

  8. Monteiro ML, Hokazono K, Fernandes DB, Costa-Cunha LV, Sousa RM, Raza AS, Wang DL, Hood DC (2014) Evaluation of inner retinal layers in eyes with temporal hemianopic visual loss from chiasmal compression using optical coherence tomography. Invest Ophthalmol Vis Sci 55:3328–3336

    Article  Google Scholar 

  9. Kawaguchi T, Ogawa Y, Tominaga T (2019) Retinal nerve fiber layer thickness measurement for predicting visual outcome after transsphenoidal surgery: optic disc atrophy is not the deciding indicator. World Neurosurg 127:e427–e435

    Article  Google Scholar 

  10. Kim EK, Park H-YL, Park CK (2017) Relationship between retinal inner nuclear layer thickness and severity of visual field loss in glaucoma. Sci Rep 7:5543

    Article  Google Scholar 

  11. Gelfand JM, Cree BA, Nolan R, Arnow S, Green AJ (2013) Microcystic inner nuclear layer abnormalities and neuromyelitis optica. JAMA Neurol 70:629–633

    Article  Google Scholar 

  12. Wolff B, Azar G, Vasseur V, Sahel JA, Vignal C, Mauget-Faysse M (2014) Microcystic changes in the retinal internal nuclear layer associated with optic atrophy: a prospective study. J Ophthalmol 2014:395189

    PubMed  PubMed Central  Google Scholar 

  13. Cusato K, Stagg SB, Reese BE (2001) Two phases of increased cell death in the inner retina following early elimination of the ganglion cell population. J Comp Neurol 439:440–449

    Article  CAS  Google Scholar 

  14. Williams RR, Cusato K, Raven MA, Reese BE (2001) Organization of the inner retina following early elimination of the retinal ganglion cell population: effects on cell numbers and stratification patterns. Vis Neurosci 18:233–244

    Article  CAS  Google Scholar 

  15. Yamasaki EN, Andrade da Costa BL, Barbosa VD, Hokoc JN (1997) Retinal ganglion cell depletion alters the phenotypic expression of GABA and GAD in the rat retina. Eur J Neurosci 9:1885–1890

    Article  CAS  Google Scholar 

  16. Han KJ, Lee YH (2018) Optical coherence tomography automated layer segmentation of macula after retinal detachment repair. PLoS One 13:e0197058

    Article  Google Scholar 

  17. Oberwahrenbrock T, Traber GL, Lukas S, Gabilondo I, Nolan R, Songster C, Balk L, Petzold A, Paul F, Villoslada P, Brandt AU, Green AJ, Schippling S (2018) Multicenter reliability of semiautomatic retinal layer segmentation using OCT. Neurol Neuroimmunol Neuroinflamm 5:e449

    Article  Google Scholar 

  18. Morgan JE (2004) Circulation and axonal transport in the optic nerve. Eye (Lond) 18:1089–1095

    Article  CAS  Google Scholar 

  19. Quigley HA, McKinnon SJ, Zack DJ, Pease ME, Kerrigan-Baumrind LA, Kerrigan DF, Mitchell RS (2000) Retrograde axonal transport of BDNF in retinal ganglion cells is blocked by acute IOP elevation in rats. Invest Ophthalmol Vis Sci 41:3460–3466

    CAS  PubMed  Google Scholar 

  20. Ruther K, Ehlich P, Philipp A, Eckstein A, Zrenner E (1998) Prognostic value of the pattern electroretinogram in cases of tumors affecting the optic pathway. Graefes Arch Clin Exp Ophthalmol 236:259–263

    Article  CAS  Google Scholar 

  21. Parmar DN, Sofat A, Bowman R, Bartlett JR, Holder GE (2000) Visual prognostic value of the pattern electroretinogram in chiasmal compression. Br J Ophthalmol 84:1024–1026

    Article  CAS  Google Scholar 

  22. Freitas HR, Reis RA (2017) Glutathione induces GABA release through P2X7R activation on Muller glia. Neurogenesis (Austin) 4:e1283188

    Article  Google Scholar 

  23. Freitas HR, Ferraz G, Ferreira GC, Ribeiro-Resende VT, Chiarini LB, do Nascimento JL, Matos Oliveira KR, Pereira Tde L, Ferreira LG, Kubrusly RC, Faria RX, Herculano AM, Reis RA (2016) Glutathione-induced calcium shifts in chick retinal glial cells. PLoS One 11:e0153677

    Article  Google Scholar 

  24. Coughlin BA, Feenstra DJ, Mohr S (2017) Muller cells and diabetic retinopathy. Vis Res 139:93–100

    Article  Google Scholar 

  25. Saidha S, Sotirchos ES, Ibrahim MA, Crainiceanu CM, Gelfand JM, Sepah YJ, Ratchford JN, Oh J, Seigo MA, Newsome SD, Balcer LJ, Frohman EM, Green AJ, Nguyen QD, Calabresi PA (2012) Microcystic macular oedema, thickness of the inner nuclear layer of the retina, and disease characteristics in multiple sclerosis: a retrospective study. Lancet Neurol 11:963–972

    Article  Google Scholar 

  26. Gelfand JM, Nolan R, Schwartz DM, Graves J, Green AJ (2012) Microcystic macular oedema in multiple sclerosis is associated with disease severity. Brain 135:1786–1793

    Article  Google Scholar 

  27. Sotirchos ES, Saidha S, Byraiah G, Mealy MA, Ibrahim MA, Sepah YJ, Newsome SD, Ratchford JN, Frohman EM, Balcer LJ, Crainiceanu CM, Nguyen QD, Levy M, Calabresi PA (2013) In vivo identification of morphologic retinal abnormalities in neuromyelitis optica. Neurology 80:1406–1414

    Article  Google Scholar 

  28. Moon CH, Hwang SC, Kim BT, Ohn YH, Park TK (2011) Visual prognostic value of optical coherence tomography and photopic negative response in chiasmal compression. Invest Ophthalmol Vis Sci 52:8527–8533

    Article  Google Scholar 

  29. Marcus M, Vitale S, Calvert PC, Miller NR (1991) Visual parameters in patients with pituitary adenoma before and after transsphenoidal surgery. Aust N Z J Ophthalmol 19:111–118

    Article  CAS  Google Scholar 

  30. Kerrison JB, Lynn MJ, Baer CA, Newman SA, Biousse V, Newman NJ (2000) Stages of improvement in visual fields after pituitary tumor resection. Am J Ophthalmol 130:813–820

    Article  CAS  Google Scholar 

  31. Blanch RJ, Micieli JA, Oyesiku NM, Newman NJ, Biousse V (2018) Optical coherence tomography retinal ganglion cell complex analysis for the detection of early chiasmal compression. Pituitary 21:515–523

    Article  CAS  Google Scholar 

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Funding

This study was funded by Research Fund of Seoul St. Mary’s Hospital, the Catholic University of Korea (No.5–2018-B0001–00006).

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Authors and Affiliations

Authors

Contributions

Conception and design: Moon, Shin. Acquisition of data: Moon. Analysis and interpretation of data: Moon, Shin. Drafting the article: Moon. Critically revising the article: Moon, Shin. Reviewed submitted version of manuscript: Moon, Shin. Approved the final version of the manuscript on behalf of all authors: Shin. Statistical analysis: Moon. Administrative/technical/material support: Moon. Study supervision: Shin.

Corresponding author

Correspondence to Sun Young Shin.

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Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional review board of the Catholic University of Korea, College of Medicine (approval no. KC18RESI0244), and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

The institutional review board waived the need for written consent from the participants, because of the retrospective design. Patient information was anonymized and de-identified prior to analysis.

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Moon, JS., Shin, S.Y. Segmented retinal layer analysis of chiasmal compressive optic neuropathy in pituitary adenoma patients. Graefes Arch Clin Exp Ophthalmol 258, 419–425 (2020). https://doi.org/10.1007/s00417-019-04560-3

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  • DOI: https://doi.org/10.1007/s00417-019-04560-3

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