Evidence map›Paper›PMID 37560300›Full record

ReviewFrontiers in endocrinology2023

Emerging diagnostic methods and imaging modalities in cushing's syndrome.

Kyla Wright, Elisabeth F C van Rossum, Elcin Zan, Nicole Werner, Alan Harris, Richard A Feelders, Nidhi Agrawal

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  3. Cushing's disease across the lifespan: a case-based clinical review.Archives of endocrinology and metabolism · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Kyla WrightNew York University (NYU) Grossman School of Medicine, New York, NY, United States.
Elisabeth F C van RossumDepartment of Internal Medicine, Division of Endocrinology, Erasmus Medical College (MC), University Medical Center Rotterdam, Rotterdam, Netherlands.
Elcin ZanDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Nicole WernerNew York University (NYU) Grossman School of Medicine, New York, NY, United States.
Alan HarrisDepartment of Medicine, Division of Endocrinology, New York University (NYU) Langone Medical Center, New York, NY, United States.
Richard A FeeldersDepartment of Internal Medicine, Division of Endocrinology, Erasmus Medical College (MC), University Medical Center Rotterdam, Rotterdam, Netherlands.
Nidhi AgrawalDepartment of Medicine, Division of Endocrinology, New York University (NYU) Langone Medical Center, New York, NY, United States.
Erasmus MC · NLNew York University · USNYU Langone Health · USCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endogenous Cushing's syndrome (CS) is a rare disease characterized by prolonged glucocorticoid excess. Timely diagnosis is critical to allow prompt treatment and limit long-term disease morbidity and risk for mortality. Traditional biochemical diagnostic modalities each have limitations and sensitivities and specificities that vary significantly with diagnostic cutoff values. Biochemical evaluation is particularly complex in patients whose hypercortisolemia fluctuates daily, often requiring repetition of tests to confirm or exclude disease, and when delineating CS from physiologic, nonneoplastic states of hypercortisolism. Lastly, traditional pituitary MRI may be negative in up to 60% of patients with adrenocorticotropic hormone (ACTH)-secreting pituitary adenomas (termed "Cushing's disease" [CD]) whereas false positive pituitary MRI findings may exist in patients with ectopic ACTH secretion. Thus, differentiating CD from ectopic ACTH secretion may necessitate dynamic testing or even invasive procedures such as bilateral inferior petrosal sinus sampling. Newer methods may relieve some of the diagnostic uncertainty in CS, providing a more definitive diagnosis prior to subjecting patients to additional imaging or invasive procedures. For example, a novel method of cortisol measurement in patients with CS is scalp hair analysis, a non-invasive method yielding cortisol and cortisone values representing long-term glucocorticoid exposure of the past months. Hair cortisol and cortisone have both shown to differentiate between CS patients and controls with a high sensitivity and specificity. Moreover, advances in imaging techniques may enhance detection of ACTH-secreting pituitary adenomas. While conventional pituitary MRI may fail to identify microadenomas in patients with CD, high-resolution 3T-MRI with 3D-spoiled gradient-echo sequence has thinner sections and superior soft-tissue contrast that can detect adenomas as small as 2 mm. Similarly, functional imaging may improve the identification of ACTH-secreting adenomas noninvasively; Gallium-68-tagged corticotropin-releasing hormone (CRH) combined with PET-CT can be used to detect CRH receptors, which are upregulated on corticotroph adenomas. This technique can delineate functionality of adenomas in patients with CD from patients with ectopic ACTH secretion and false positive pituitary lesions on MRI. Here, we review emerging methods and imaging modalities for the diagnosis of CS, discussing their diagnostic accuracy, strengths and limitations, and applicability to clinical practice.

Indexed as

CortisoneCushing SyndromeHair AnalysisHydrocortisoneGlucocorticoidsHumansCortisoneGlucocorticoidsHydrocortisonecushing’s diseasecushing’s syndromediagnosis pseudo-cushing’s stateshypercortisolemiapituitary

Identifiers

PMID37560300
PMCPMC10407789
OpenAlexW4385248428

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.