Evidence map›Paper›PMID 31875913›Full record

ArticleThe Journal of clinical endocrinology and metabolism2020

Computerized Analysis of Brain MRI Parameter Dynamics in Young Patients With Cushing Syndrome-A Case-Control Study.

Amit Tirosh, Harish RaviPrakash, Georgios Z Papadakis, Christina Tatsi, Elena Belyavskaya, Lyssikatos Charalampos, Maya B Lodish, Ulas Bagci, Constantine A Stratakis

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 3 countries.

Amit TiroshSection on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Harish RaviPrakashCenter for Research in Computer Vision (CRCV), University of Central Florida, Orlando, Florida.
Georgios Z PapadakisComputational Biomedicine Laboratory (CBML), Institute of Computer Science (ICS), Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece.
Christina TatsiSection on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Elena BelyavskayaSection on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Lyssikatos CharalamposSection on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Maya B LodishSection on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Ulas BagciCenter for Research in Computer Vision (CRCV), University of Central Florida, Orlando, Florida.
Constantine A StratakisSection on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
National Institutes of Health · USUniversity of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYoung patients with Cushing Syndrome (CS) may develop cognitive and behavioral alterations during disease course.

methodsTo investigate the effects of CS on the brain, we analyzed consecutive MRI scans of patients with (n = 29) versus without CS (n = 8). Multiple brain compartments were processed for total and gray/white matter (GM/WM) volumes and intensities, and cortical volume, thickness, and surface area. Dynamics (last/baseline scans ratio per parameter) were analyzed versus cortisol levels and CS status (persistent, resolved, and non-CS).

resultsTwenty-four-hour urinary free cortisol (24hUFC) measurements had inverse correlation with the intensity of subcortical GM structures and of the corpus callosum, and with the cerebral WM intensity. 24hUFC dynamics had negative correlation with volume dynamics of multiple cerebral and cerebellar structures. Patients with persistent CS had less of an increase in cortical thickness and WM intensity, and less of a decrease in WM volume compared with patients with resolution of CS. Patients with resolution of their CS had less of an increase in subcortical GM and cerebral WM volumes, but a greater increase in cortical thickness of frontal lobe versus controls.

conclusionChanges in WM/GM consistency, intensity, and homogeneity in patients with CS may correlate with CS clinical consequences better than volume dynamics alone.

Indexed as

AdolescentAdultBrainCase-Control StudiesChildChild DevelopmentChild, PreschoolCushing SyndromeFemaleGray MatterHumansHydrocortisoneImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeuroimagingHydrocortisonebraincushinghypercortisolemiavolumes

Identifiers

PMID31875913
PMCPMC7089850
OpenAlexW2997696437

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.