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Predictive model for recovery of visual field after surgery of pituitary adenoma

  • Clinical Study
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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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Funding

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2007865).

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    Authors and Affiliations

    1. Department of Ophthalmology, Institute of Vision Research, Yonsei University College of Medicine, 134 Shinchon-Dong, Seodaemun-Gu, Seoul, 120-752, South Korea

      Junwon Lee, Moonjung Choi & Suk Ho Byeon

    2. Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea

      Seung Woo Kim & Seung Min Kim

    3. Department of Policy Research Affairs, National Health Insurance Corporation Ilsan Hospital, Goyang, South Korea

      Dong Wook Kim

    4. Department of Ophthalmology, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea

      Joo Youn Shin

    5. Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea

      Min Chul Oh, Eui Hyun Kim & Sun Ho Kim

    6. Endocrine Research Institute, Yonsei University College of Medicine, Seoul, South Korea

      Min Chul Oh, Eui Hyun Kim & Sun Ho Kim

    7. Pituitary Tumor Clinic, Yonsei University College of Medicine, Seoul, South Korea

      Min Chul Oh, Eui Hyun Kim & Sun Ho Kim

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    1. Junwon Lee
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    2. Seung Woo Kim
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    8. Eui Hyun Kim
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    9. Sun Ho Kim
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    Correspondence to Suk Ho Byeon.

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    The authors have no competing interests to declare.

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    Junwon Lee and Seung Woo Kim have contributed equally to the manuscript.

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    Lee, J., Kim, S.W., Kim, D.W. et al. Predictive model for recovery of visual field after surgery of pituitary adenoma. J Neurooncol 130, 155–164 (2016). https://doi.org/10.1007/s11060-016-2227-5

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    • DOI: https://doi.org/10.1007/s11060-016-2227-5

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