Abstract
Background
Pituitary tumors may cause compression of the optic chiasm, resulting in decreased visual acuity. Therefore, decompression of the optic chiasm is a major goal of surgical treatment in such patients. Quantitative pupillometry has been used in various clinical settings for assessing the optic system but has not been applied in patients with pituitary tumors. This study aimed to evaluate the potential of this technique to improve treatment modalities in patients undergoing surgical resection of pituitary tumors.
Method
Pupillometry using the automated NPi 200® Pupillometer was performed in seven patients who underwent surgical resection of large pituitary tumors at the University of Heidelberg in 2018. The neurological pupil index (NPi) was assessed preoperatively and postoperatively, and correlations with visual acuity and magnetic resonance imaging (MRI) findings regarding optic chiasm compression were determined.
Results
All patients experienced visual disturbance due to a large pituitary tumor. The NPi was < 4.0 in all patients in at least one pupil. Intraoperative MRI demonstrated successful decompression of the optic chiasm in all cases. Postoperatively, the NPi values increased, and this increase was correlated with improved visual acuity.
Conclusions
We found that quantitative pupillometry can detect optic chiasm compression in patients with pituitary tumors. Furthermore, postoperative improvement of NPi values may indicate sufficient decompression of the optic chiasm. Further studies are warranted to substantiate the granularity of this technique to gain valuable information for patients with pituitary tumors who are indicated for surgery.
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Introduction
Compression of the optic chiasm commonly causes visual impairment in patients with pituitary tumors. Approximately two-thirds of patients with non-functioning pituitary macroadenomas present with visual deficits [6] and even complete loss of vision [1]. Pituitary tumors may impact the optic system via compression of the optic chiasm and may also compromise oculomotor nerve function, particularly in cases of cavernous sinus infiltration. Neurosurgical tumor resection, which is typically performed via a transnasal approach, is the mainstay treatment in the majority of cases [9]. Decompression of the optic chiasm to prevent vision loss is a major goal of surgery, even if gross resection of the tumor is not possible. Evaluation of visual acuity is mandatory in patients presenting with pituitary tumors. Furthermore, evaluation of visual acuity following surgery is important to confirm sufficient decompression of the optic chiasm.
Quantitative pupillometry has been increasingly applied in the neurocritical care setting. Abnormal pupillometry findings are associated with increased intracranial pressure in patients with traumatic brain injury, aneurysmal subarachnoid hemorrhage, and intracerebral hemorrhage [2]. Neurological pupil index (NPi) values are > 4.0 in healthy individuals and < 4.0 in critically ill patients [11]. Importantly, previous studies suggest that pupillometry is a more reliable tool than standard clinical evaluation with a flashlight for assessing pupillary function [3]. However, to the best of our knowledge, this technique has not been applied to evaluate optic chiasm decompression in patients with pituitary tumors. This study aimed to evaluate the potential of pupillometry to improve treatment modalities in patients undergoing surgical resection of pituitary tumors.
Methods and materials
Patients
Seven patients who underwent surgical resection of a pituitary tumor in 2018 at our institution were enrolled. All patients provided written informed consent to participate in the study. The study was approved by the ethics committee of Heidelberg University and registered under the number (S-788/2021).
Inclusion and exclusion criteria
Patients aged ≥ 16 years with radiologically confirmed tumor mass of the pituitary gland who underwent a surgical resection via a transnasal approach at our institution were consecutively enrolled. All patients were treated surgically according to a standardized protocol for pituitary tumors at our institution. Tumors were resected via a microscopic endonasal approach. A preoperative assessment of the NPi was also a prerequisite for enrolment into this study. Patients without a preoperative pupillometry assessment were excluded. Baseline characteristics were retrieved from patients’ medical records.
Assessments
All patients underwent pupillometry using the NPi 200® Pupillometer (Neuroptics, Laguna Hill, USA). The Pupillometer NPi200 is a handheld infrared device that automatically tracks and analyzes pupil dynamics over a 3-s time period. The NPi algorithm was developed to quantify pupillary reactivity. As previously described, the variables analyzed by this algorithm include pupil size, latency, constriction velocity, and dilation velocity [2]. The NPi was assessed 1 day prior to surgery and 1 day after surgery. In longitudinal studies, the correct selection of the interval over which to assess a parameter is of paramount importance. We decided to perform quantitative pupillometry 1 day after surgery to examine potential immediate changes in the NPi. It is well known that immediately after transsphenoidal pituitary tumor resection, edema and posthemostatic material could be present which may significantly impact the adjacent structures of the visual system such as the optic and the oculomotor nerve [12]. Since automated pupillometry is associated with a low interobserver variability, we did not perform repeated examinations at any given time point [3].
MRI or computed tomography (CT) was performed before surgery, and all patients underwent preoperative endocrinological assessment and clinical evaluation of visual acuity. Intraoperative MRI or CT was performed to evaluate the extent of tumor resection and decompression of the optic chiasm.
Results
A total of seven patients aged 17 − 66 years were enrolled in this study (Table 1). All patients had impaired visual acuity and imaging-confirmed pituitary tumors with compression of the optic chiasm. The maximum diameter ranged from 11 to 55 mm. Preoperative NPi values were < 4.0 in at least one pupil in all patients (Table 1). Four patients had NPi values of < 4.0 in both pupils. Intraoperative imaging following tumor resection demonstrated decompression of the optic chiasm in all patients (Fig. 1), and gross total tumor resection was achieved in 4 out of 7 patients. Near total tumor resection (due to parasellar growth) was achieved in 2 patients. One patient suffered from extensive parasellar tumor growth, but partial tumor resection resulted in decompression of the optic chiasm. In this patient, histopathological analysis revealed aggressive pituitary adenoma in context of Lynch syndrome [13]. A thorough description of the histological features of the pituitary tumors is displayed in Table 2.
The postoperative assessment revealed NPi improvement in six of seven patients. This improvement ranged from 6 to 50%. In one patient, the NPi value on the right side decreased from 4.4 to 4.1, but visual acuity improved postoperatively.
Discussion
The deployment of quantitative pupillometry has been established primarily in the neurocritical care setting. A recent study confirmed that anisocoria could be detected by the nursing staff in over 50% of the cases by using the automated pupillometry, whereas the conventional flashlight method showed non-pathological results [3]. Interestingly, the use of quantitative pupillometry in neurocritical care seems to streamline the early detection of intracranial hypertension in patients with traumatic brain injury [7, 13] and can aid in predicting neurological outcomes in comatose patients after cardiac arrest [10]. This emerging technique might present a paramount tool to expediently detect critical cases and help to adequately capture and treat patients with worse prognosis. However, there are only very little data available on the potential of this technique to improve the treatment of patients with impaired visual acuity due to tumor-associated compression of structures of the optic system. To the best of our knowledge, this is the first study evaluating the potential of pupillometry to improve treatment modalities in patients undergoing surgical resection of pituitary tumors. Our findings suggest that automated pupillometry may represent a feasible method to evaluate the mass effects of pituitary tumors on optic system structures.
It is important to accentuate that the assessment of quantitative pupillometry provides valid findings within seconds. Noteworthy, compared to the conventional pupillometry examination with the standard flashlight, the findings are not examiner-dependent. Furthermore, the quantitative pupillometry provides additional information as the constriction and dilation velocity, the pupil size, and the NPi, which is calculated from all of these parameters [3]. Consequently, due to an easy-to-use, affordable, and reliable tool, we were able to show that compression of the neural structures of the optic system due to pituitary adenomas was associated with decreased NPi values. Importantly, surgical decompression of the visual system corresponded with increased NPi values and therefore, this technique may aid in evaluating sufficient decompression of the neural structures of the optic system.
Review of literature
The use of automated pupillometry in patients with third nerve palsy was recently reported by Kim et al. [8]. A total of 171 patients with third nerve palsy of various etiologies were analyzed, and in 15 patients, a compressive origin due to the presence of a tumor was identified. Abnormal pupillometry findings were highly specific for detecting compressive third nerve palsy and the minimal pupil size showed a significant reduction after recovery. A further study demonstrated that automated pupillometry was equally effective for reversing anisocoria after apraclonidine instillation in the diagnosis of Horner syndrome [14].
In patients with pituitary tumors, decompression of the optic chiasm is the critical pillar for surgical treatment and is associated with an improvement of visual field defects in 80 − 90% of patients [4]. There is an ongoing debate regarding the advantages of endoscopic versus microscopic techniques in the endonasal surgical treatment of pituitary tumors [5]. However, despite advantages regarding intraoperative visualization with the aid of endoscopic techniques, studies have demonstrated that unexpected residual tumor can be detected via intraoperative MRI [16]. Automated pupillometry may present a cost-effective tool in assessing sufficient decompression of the optic chiasm if intraoperative imaging studies are not available.
Furthermore, it is well known that postoperative hemorrhage is a well-recognized complication of transnasal pituitary surgery and occurs in 1–4% of cases. It may cause headache, visual and neurological symptoms, and the acute onset of hypopituitarism. Prompt recognition of these symptoms is vital to identify postoperative hemorrhage and determine whether surgical hematoma evacuation is indicated. Assessment of visual acuity can be difficult in patients with decreased compliance due to the effects of anesthetic drugs. Pupillometry assessment could provide important information for the decision to initiate imaging studies if postoperative hemorrhage is suspected. In patients with intracranial hemorrhage, pupillometry findings were associated with neurological deterioration and therefore, the transfer of this method in this context may prove to be valuable in the detection of postoperative complications.
Limitations
Although automated pupillometry may represent a valuable tool in the (surgical) treatment of pituitary tumors, our findings must be considered preliminary, and further studies are required before firm conclusions can be drawn. In this study, one patient exhibited a slight NPi decrease in one pupil postoperatively, and this finding was contradictory to the intraoperative imaging findings and improved visual acuity following tumor resection. Thus, other factors may have an impact on the NPi; therefore, the mass effects of pituitary tumors on the optic system and their impact on pupillometry results should be studied in larger patient cohorts. Since there is a lack of clinical data concerning the minimal clinical difference (MCID) between two NPi values, as well as due to the small number of patients included in this technical report, we did not define this important parameter. Standardized preoperative and postoperative visual acuity assessments are needed in order to confirm the validity of NPi results with regard to improvement of visual acuity.
Conclusions
Our initial experiences with the use of quantitative pupillometry in patients with pituitary tumors demonstrate that it may represent a valuable tool in the assessment of visual disturbances in such patients. The findings may indicate compression of the optic chiasm, and immediate improvements in pupillometry findings following surgery were suggestive of sufficient decompression of the optic chiasm. Further studies are necessary to evaluate the potential of this technique to improve treatment modalities in patients undergoing surgical resection of pituitary tumors.
References
Bakker NA (2010) Hoving EW (2010) A rare case of sudden blindness due to a pituitary adenoma coincidentally infected with methicillin-resistant Staphylococcus aureus (MRSA). Acta Neurochir (Wien) 152:1079–1080. https://doi.org/10.1007/s00701-009-0551-7
Chen JW, Gombart ZJ, Rogers S, Gardiner SK, Cecil S (2011) Bullock RM (2011) Pupillary reactivity as an early indicator of increased intracranial pressure: the introduction of the neurological pupil index. Surg Neurol Int 2:82. https://doi.org/10.4103/2152-7806.82248
Couret D, Boumaza D, Grisotto C, Triglia T, Pellegrini L, Ocquidant P, Bruder NJ (2016) Velly LJ (2016) Reliability of standard pupillometry practice in neurocritical care: an observational, double-blinded study. Crit Care 20:99. https://doi.org/10.1186/s13054-016-1239-z
Dekkers OM, Pereira AM, Roelfsema F, Voormolen JHC, Neelis KJ, Schroijen MA, Smit JWA (2006) Romijn JA (2006) Observation alone after transsphenoidal surgery for nonfunctioning pituitary macroadenoma. J Clin Endocrinol Metab 91:1796–1801. https://doi.org/10.1210/jc.2005-2552
Esquenazi Y, Essayed WI, Singh H, Mauer E, Ahmed M, Christos PJ (2017) Schwartz TH (2017) Endoscopic endonasal versus microscopic transsphenoidal surgery for recurrent and/or residual pituitary adenomas. World Neurosurg 101:186–195. https://doi.org/10.1016/j.wneu.2017.01.110
Ferrante E, Ferraroni M, Castrignanò T, Menicatti L, Anagni M, Reimondo G, Del Monte P, Bernasconi D, Loli P, Faustini-Faustini M, Borretta G, Terzolo M, Losa M, Morabito A, Spada A, Beck-Peccoz P (2006) Lania AG (2006) Non-functioning pituitary adenoma database: a useful resource to improve the clinical management of pituitary tumors. Eur J Endocrinol 155:823–829. https://doi.org/10.1530/eje.1.02298
Joseph JR, Swallow JS, Willsey K, et al. (2019) Pupillary changes after clinically asymptomatic high-acceleration head impacts in high school football athletes [published online ahead of print, 2019 Nov 26]. J Neurosurg 1–6 https://doi.org/10.3171/2019.7.JNS191272
Kim HM, Yang HK (2018) Hwang JM (2018) Quantitative analysis of pupillometry in isolated third nerve palsy. PLoS ONE 13:e0208259. https://doi.org/10.1371/journal.pone.0208259
Molitch ME (2017) (2017) Diagnosis and treatment of pituitary adenomas: a review. JAMA 317:516–524. https://doi.org/10.1001/jama.2016.19699
Obinata H, Yokobori S, Shibata Y, Takiguchi T, Nakae R, Igarashi Y, Shigeta K, Matsumoto H, Aiyagai V, Olson DM (2020) Yokota H (2020) Early automated infrared pupillometry is superior to auditory brainstem response in predicting neurological outcome after cardiac arrest. Resuscitation 154:77–84. https://doi.org/10.1016/j.resuscitation.2020.06.002
Ong C, Hutch M (2019) Smirnakis S (2019) The effect of ambient light conditions on quantitative pupillometry. Neurocrit Care 30:316–321. https://doi.org/10.1007/s12028-018-0607-8
Robba C, Pozzebon S, Moro B, Vincent JL, Creteur J (2020) Taccone FS (2020) Multimodal non-invasive assessment of intracranial hypertension: an observational study. Crit Care 24:379. https://doi.org/10.1186/s13054-020-03105-z
Teuber, J., Reinhardt, A., Reuss, D., Hähnel, S., Unterberg, A., & Beynon, C. (2021). Aggressive pituitary adenoma in the context of Lynch syndrome: a case report and literature review on this rare coincidence. British journal of neurosurgery, 1–6. Advance online publication. https://doi.org/10.1080/02688697.2021.1967881
Yoo YJ, Yang HK (2017) Hwang JM (2017) Efficacy of digital pupillometry for diagnosis of Horner syndrome. PLoS ONE 12:e0178361. https://doi.org/10.1371/journal.pone.0178361
Zaidi HA, De Los RK, Barkhoudarian G, Litvack ZN, Linda Bi W, Ricncon-Torroella J, Mukundam S Jr, Dunn IF, Laws ER Jr (2016) (2016) The utility of high-resolution intraoperative MRI in endoscopic transsphenoidal surgery for pituitary macroadenomas: early experience in the Advanced multimodality Image Guided Operating suite. Neurosurg Focus 40:E18. https://doi.org/10.3171/2016.1.FOCUS15515
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by CB and PL. The first draft of the manuscript was written by PL and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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The study was approved by the ethics committee of Heidelberg University and registered under the number (S-788/2021).
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All patients provided written informed consent to participate in the study.
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Patients signed informed consent regarding publishing their data and photographs.
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Lenga, P., Jakobs, M., Jesser, J. et al. The use of quantitative pupillometry in patients with pituitary tumors: a technical note. Acta Neurochir 164, 1599–1604 (2022). https://doi.org/10.1007/s00701-022-05214-w
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DOI: https://doi.org/10.1007/s00701-022-05214-w