open access

Vol 73, No 5 (2022)
Original paper
Submitted: 2022-01-23
Accepted: 2022-04-28
Published online: 2022-09-05
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Assessment of brain and hippocampal volume in patients with Cushing’s disease

Emilia Frankowska1, Rafał Kidziński2, Grzegorz Zieliński3
·
Pubmed: 36094872
·
Endokrynol Pol 2022;73(5):823-830.
Affiliations
  1. Department of Radiology, Military Institute of Medicine, Warsaw, Poland
  2. Department of Radiology, Medicover Hospital, Warsaw, Poland
  3. Department of Neurosurgery, Military Institute of Medicine, Warsaw, Poland

open access

Vol 73, No 5 (2022)
Original Paper
Submitted: 2022-01-23
Accepted: 2022-04-28
Published online: 2022-09-05

Abstract

Introduction: The purpose of this study was to assess the volumes of the hippocampus, grey matter, and the whole brain in patients with active Cushing’s disease compared to a control group.

Material and methods: We included 36 patients diagnosed with Cushing’s disease, with pituitary magnetic resonance imaging (MRI) performed as a standard preoperative assessment. The sample size of the control group was 26 persons. MRI studies were acquired with a 3.0 Tesla MR scanner equipped with a 24-channel head coil. The MRI study protocol included a pre-contrast 3D T1-weighted gradient sequence. Volumetric segmentation of the brain structures was performed using version 6.0 of the FreeSurfer software.

Results: We observed statistically significant reduction in the grey matter volume in the study group as compared to the control group (p < 0.001), with no significant differences in the volume of the whole brain (p = 0.104), left hippocampus (p = 0.790), and right hippocampus (p = 0.517). There was a strong positive correlation between grey matter volume and brain volume (r = 0.75, p < 0.001), independent of the study group.

Conclusions: The study showed unevenly distributed brain atrophy in patients suffering from Cushing’s disease, with no significant hippocampal atrophy. Significant atrophy was observed within the grey matter, potentially constituting a preliminary stage of whole-brain atrophy.

Abstract

Introduction: The purpose of this study was to assess the volumes of the hippocampus, grey matter, and the whole brain in patients with active Cushing’s disease compared to a control group.

Material and methods: We included 36 patients diagnosed with Cushing’s disease, with pituitary magnetic resonance imaging (MRI) performed as a standard preoperative assessment. The sample size of the control group was 26 persons. MRI studies were acquired with a 3.0 Tesla MR scanner equipped with a 24-channel head coil. The MRI study protocol included a pre-contrast 3D T1-weighted gradient sequence. Volumetric segmentation of the brain structures was performed using version 6.0 of the FreeSurfer software.

Results: We observed statistically significant reduction in the grey matter volume in the study group as compared to the control group (p < 0.001), with no significant differences in the volume of the whole brain (p = 0.104), left hippocampus (p = 0.790), and right hippocampus (p = 0.517). There was a strong positive correlation between grey matter volume and brain volume (r = 0.75, p < 0.001), independent of the study group.

Conclusions: The study showed unevenly distributed brain atrophy in patients suffering from Cushing’s disease, with no significant hippocampal atrophy. Significant atrophy was observed within the grey matter, potentially constituting a preliminary stage of whole-brain atrophy.

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Keywords

Cushing’s disease; hypercortisolism; hippocampal atrophy; brain atrophy; magnetic resonance imaging

About this article
Title

Assessment of brain and hippocampal volume in patients with Cushing’s disease

Journal

Endokrynologia Polska

Issue

Vol 73, No 5 (2022)

Article type

Original paper

Pages

823-830

Published online

2022-09-05

Page views

3973

Article views/downloads

389

DOI

10.5603/EP.a2022.0062

Pubmed

36094872

Bibliographic record

Endokrynol Pol 2022;73(5):823-830.

Keywords

Cushing’s disease
hypercortisolism
hippocampal atrophy
brain atrophy
magnetic resonance imaging

Authors

Emilia Frankowska
Rafał Kidziński
Grzegorz Zieliński

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