Pituitary T1 signal intensity at magnetic resonance imaging is reduced in patients with obesity : results from the CHIASM study
© 2023. The Author(s)..
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/m2) 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.
| Errataetall: |
ErratumIn: Int J Obes (Lond). 2023 Aug 28;:. - PMID 37640895 |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:47 |
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| Enthalten in: |
International journal of obesity (2005) - 47(2023), 10 vom: 21. Okt., Seite 948-955 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Puliani, Giulia [VerfasserIn] |
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| Links: |
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| Themen: |
9001-32-5 |
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| Anmerkungen: |
Date Completed 22.09.2023 Date Revised 23.09.2023 published: Print-Electronic ClinicalTrials.gov: NCT03458533 ErratumIn: Int J Obes (Lond). 2023 Aug 28;:. - PMID 37640895 Citation Status MEDLINE |
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| doi: |
10.1038/s41366-023-01338-w |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM359800491 |
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| 245 | 1 | 0 | |a Pituitary T1 signal intensity at magnetic resonance imaging is reduced in patients with obesity |b results from the CHIASM study |
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| 500 | |a Date Completed 22.09.2023 | ||
| 500 | |a Date Revised 23.09.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a ClinicalTrials.gov: NCT03458533 | ||
| 500 | |a ErratumIn: Int J Obes (Lond). 2023 Aug 28;:. - PMID 37640895 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. The Author(s). | ||
| 520 | |a 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 | ||
| 520 | |a OBJECTIVE: To evaluate the pituitary volume and signal intensity at MRI in patients with obesity | ||
| 520 | |a 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/m2) 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
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| 650 | 7 | |a 9001-32-5 |2 NLM | |
| 700 | 1 | |a Sbardella, Emilia |e verfasserin |4 aut | |
| 700 | 1 | |a Cozzolino, Alessia |e verfasserin |4 aut | |
| 700 | 1 | |a Sada, Valentina |e verfasserin |4 aut | |
| 700 | 1 | |a Tozzi, Rossella |e verfasserin |4 aut | |
| 700 | 1 | |a Andreoli, Chiara |e verfasserin |4 aut | |
| 700 | 1 | |a Fiorelli, Marco |e verfasserin |4 aut | |
| 700 | 1 | |a Di Biasi, Claudio |e verfasserin |4 aut | |
| 700 | 1 | |a Corallino, Diletta |e verfasserin |4 aut | |
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| 700 | 1 | |a Paganini, Alessandro M |e verfasserin |4 aut | |
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| 700 | 1 | |a Lubrano, Carla |e verfasserin |4 aut | |
| 700 | 1 | |a Isidori, Andrea M |e verfasserin |4 aut | |
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