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Radiological Growth Patterns of Prolactinomas and Nonfunctioning Adenomas

Published online by Cambridge University Press:  03 July 2017

Syed Ali Imran
Affiliation:
Division of Endocrinology and Metabolism, Dalhousie University, Halifax, Nova Scotia, Canada
Jai Shankar
Affiliation:
Department of Diagnostic Radiology, Division of Neuroradiology, Dalhousie University, QEII Health Sciences Centre, Halifax, Nova Scotia, Canada
Andrea L.O. Hebb
Affiliation:
Division of Neurosurgery, Dalhousie University, QEII Health Sciences Centre, Halifax, Nova Scotia, Canada
Sidney E. Croul
Affiliation:
Department of Pathology and Laboratory Medicine, Dalhousie University, QEII Health Sciences Centre, Halifax, Nova Scotia, Canada.
David B. Clarke*
Affiliation:
Division of Endocrinology and Metabolism, Dalhousie University, Halifax, Nova Scotia, Canada Division of Neurosurgery, Dalhousie University, QEII Health Sciences Centre, Halifax, Nova Scotia, Canada
*
Correspondence to: David B. Clarke, Division of Neurosurgery, Dalhousie University, Nova Scotia Health Authority, QEII Health Sciences Centre, 1796 Summer Street, Suite 3806, Halifax, NS, B3H 3A7, Canada. E-mail: d.clarke@dal.ca
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Abstract

Objectives: To compare growth patterns of nonfunctioning and prolactin-producing pituitary macroadenomas, and to find whether their specific growth patterns are associated with clinically significant effects on vision. Materials and Methods: From our comprehensive provincial neuropituitary registry, we retrospectively identified 35 randomly selected patients each with nonfunctioning adenomas and prolactinomas >10 mm in any dimension. MRI scans were analyzed to determine the superior and inferior growth, volume, and maximum craniocaudal height of the adenomas. Patients underwent visual field testing at diagnosis. Continuous variables were compared using Student’s t test, the Mann–Whitney U test, and ANOVA. Categorical variables were compared using the chi-square test. Results: The mean height of prolactinomas (23.2±11.3 mm) was similar to nonfunctioning adenomas (22.3±9.3 mm, p=0.8), and so were mean tumor volumes (prolactinoma=5.9±8 ml vs. nonfunctioning adenoma=4.8±5 ml, p=0.47). However, the mean suprasellar growth for prolactinomas was 2.9±5.3 mm and 7.3±4.7 mm for nonfunctioning adenomas (p<0.001), and the mean infrasellar growth was 10.2±8.0 and 5.0±6.6 mm, respectively (p=0.04). The inferior growth pattern of prolactinomas was associated with a significantly lower likelihood of having visual field abnormalities (11.4 vs. 57.1%, p<0.001). Conclusions: Prolactinomas have predominantly inferior growth compared to nonfunctioning adenomas and are less likely to cause vision changes.

Résumé

Profils radiologiques de croissance des prolactinomes et des adénomes non fonctionnels.Objectifs : Le but de l’étude était de comparer le profil de croissance de macroadénomes pituitaires non fonctionnels et de prolactinomes et de déterminer si leurs profils de croissance sont associés à des effets significatifs au point de vue clinique sur la vision. Méthodologie : Nous avons identifié rétrospectivement 35 patients atteints d’adénomes non fonctionnels et de prolactinomes de plus de 10 mm dans au moins une dimension, choisis au hasard dans notre registre provincial complet de pathologies neuropituitaires. Nous avons analysé les scans d’IRM afin de déterminer la croissance supérieure et inférieure, le volume et la hauteur crâniocaudale maximale des adénomes. Les patients avaient subi un champ visuel au moment du diagnostic. Nous avons comparé les variables continues au moyen du test t de Student, du test U de Mann-Whitney et de l’ANOVA. Nous avons comparé les variables qualitatives au moyen du chi-carré. Résultats : La hauteur moyenne et le volume moyen des prolactinomes (hauteur 23,2±11,3 mm ; volume 5,9±8 ml) étaient similaires à ceux des adénomes non fonctionnels (hauteur 22,3±9,3 mm, p=0,8 ; volume 4,8±5 ml, p=0,47). Cependant, la croissance sus-sellaire moyenne des prolactinomes était de 2,9±5,3 mm et celle des adénomes non fonctionnels de 7,3±4,7 mm (p<0,001) et leur croissance sous-sellaire était de 10,2 ± 8,0 et 5,0±6,6 mm respectivement (p=0,04). Le profil de croissance inférieur des prolactinomes était associé à une probabilité moindre d’anomalies du champ visuel (11,4% par rapport à 57,1%, p<0,001). Conclusions : Les prolactinomes ont une croissance généralement moindre que les adénomes non fonctionnels et sont moins susceptibles de causer des altérations de la vision.

Information

Type
Original Articles
Copyright
Copyright © The Canadian Journal of Neurological Sciences Inc. 2017 
Figure 0

Figure 1 Demonstration of the measurements used to assess pituitary macroadenomas. A line diagram outlines the anterior base of skull, sella, and clivus (blue), tumor outline (brown), superior aspect of the sella drawn tangential to the posterior 1 cm of planum sphenoidale and considered the reference baseline for measurements (yellow), suprasellar growth (green), depth of sella (purple), and infrasellar growth (red).

Figure 1

Figure 2 (a) Post-gadolinium-enhanced T1 sagittal image (in this case, an NFA with preferential suprasellar growth). (b) Reference baseline marked as an arrow; suprasellar measurement (10.3 mm); depth of sella (set at 10 mm); and infrasellar measurement (6.6 mm). (c) Post-gadolinium-enhanced T1 sagittal image (in this case, a PRLoma with preferential infrasellar growth). (d) Reference baseline marked as an arrow; depth of sella (set at 10 mm) and infrasellar measurement (13.4 mm).

Figure 2

Table 1 Demographic, clinical, and radiological information on patients with NFAs and PRLomas

Figure 3

Figure 3 Height and volume comparison between NFAs and PRLomas. (a) Sagittal craniocaudal heights were similar for both NFAs and PRLomas. (b) Tumor volumes were similar for both NFAs and PRLomas.

Figure 4

Figure 4 Graphs showing the preferential suprasellar growth in NFAs (a) compared with predominantly infrasellar growth in PRLomas (b). Tumors are ordered on the X-axis from largest to smallest sagittal craniocaudal heights (n=35 patients).

Figure 5

Figure 5 Visual field deficits were common in the NFA group (n=20); in the PRLoma group, visual field defects were less common (n=4) and, as shown here, occurred when the tumors were much larger. *p<0.001.