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Pituitary T1 Signal Intensity at Magnetic Resonance Imaging is Reduced in Patients with Obesity: Results from the CHIASM Study

Abstract

Background: Despite obesity being well known to be associated with several pituitary hormone imbalances, pituitary appearance in magnetic resonance imaging (MRI) in patients with obesity is understudied.

Objective: To evaluate the pituitary volume and signal intensity at MRI in patients with obesity.

Methods: This is a prospective study performed in an endocrine Italian referral center (ClinicalTrial.gov Identifier: NCT03458533). Sixty-nine patients with obesity (BMI > 30 kg/m) and twenty-five subjects without obesity were enrolled. Thirty-three patients with obesity were re-evaluated after 3 years of diet and lifestyle changes, of whom 17 (51.5%) achieved a > 5% loss of their initial body weight, whereas the remaining 16 (48.5%) had maintained or gained weight. Evaluations included metabolic and hormone assessments, DEXA scan, and pituitary MRI. Pituitary signal intensity was quantified by measuring the pixel density using ImageJ software.

Results: At baseline, no difference in pituitary volume was observed between the obese and non-obese cohorts. At the 3-year follow-up, pituitary volume was significantly reduced (p = 0.011) only in participants with stable-increased body weight. Furthermore, a significant difference was noted in the mean pituitary intensity of T1-weighted plain and contrast-enhanced sequences between the obese and non-obese cohorts at baseline (p = 0.006; p = 0.002), and a significant decrease in signal intensity was observed in the subgroup of participants who had not lost weight (p = 0.012; p = 0.017). Insulin-like growth factor-1 levels, following correction for BMI, were correlated with pituitary volume (p = 0.001) and intensity (p = 0.049), whereas morning cortisol levels were correlated with pituitary intensity (p = 0.007). The T1-weighted pituitary intensity was negatively correlated with truncal fat (p = 0.006) and fibrinogen (p = 0.018).

Conclusions: The CHIASM study describes a quantitative reduction in pituitary intensity in T1-weighted sequences in patients with obesity. These alterations could be explained by changes in the pituitary stromal tissue, correlated with low-grade inflammation.

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References
1.
Bellastella G, Menafra D, Puliani G, Colao A, Savastano S . How much does obesity affect the male reproductive function?. Int J Obes Suppl. 2019; 9(1):50-64. PMC: 6683183. DOI: 10.1038/s41367-019-0008-2. View

2.
Duclos M, Marquez Pereira P, Barat P, Gatta B, Roger P . Increased cortisol bioavailability, abdominal obesity, and the metabolic syndrome in obese women. Obes Res. 2005; 13(7):1157-66. DOI: 10.1038/oby.2005.137. View

3.
Follin C, Gabery S, Petersen A, Sundgren P, Bjorkman-Burtcher I, Latt J . Associations between Metabolic Risk Factors and the Hypothalamic Volume in Childhood Leukemia Survivors Treated with Cranial Radiotherapy. PLoS One. 2016; 11(1):e0147575. PMC: 4732818. DOI: 10.1371/journal.pone.0147575. View

4.
Lubrano C, Tenuta M, Costantini D, Specchia P, Barbaro G, Basciani S . Severe growth hormone deficiency and empty sella in obesity: a cross-sectional study. Endocrine. 2015; 49(2):503-11. DOI: 10.1007/s12020-015-0530-0. View

5.
Fehrenbach U, Jadan A, Auer T, Kreutz K, Geisel D, Ziagaki A . Obesity and pituitary gland volume - a correlation study using three-dimensional magnetic resonance imaging. Neuroradiol J. 2020; 33(5):400-409. PMC: 7482044. DOI: 10.1177/1971400920937843. View