Evidence map›Paper›PMID 33914117›Full record

ArticleEuropean radiology2021

Magnetic resonance fingerprinting for preoperative differentiation between gonadotroph and non-gonadotroph pituitary macroadenomas.

Yan Bai, Yu Shen, Rushi Chen, Xianchang Zhang, Mathias Nittka, Gregor Koerzdoerfer, Qiyong Gong, Meiyun Wang

Abstract read
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In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Yan BaiDepartment of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yu ShenDepartment of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003, Henan, China.
Rushi ChenDepartment of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003, Henan, China.
Xianchang ZhangMR Collaboration, Siemens Healthcare Ltd., Beijing, China.
Mathias NittkaMagnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany.
Gregor KoerzdoerferMagnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany.
Qiyong GongDepartment of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Meiyun WangDepartment of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003, Henan, China. mywang@ha.edu.cn.ORCID http://orcid.org/0000-0001-8779-6184
Zhengzhou University · CNSichuan University · CNSiemens Healthineers (Germany) · DESiemens (China) · CN

Funding

Medical Science and Technology Research Project of Henan Province 2018020403National Key R&D Program of China 2017YFE0103600National Natural Science Foundation of China 81720108021Scientific and Technological Research Project of Henan Province 182102310496Zhongyuan Thousand Talents Plan Project ZYQR201810117
6 · The paper itself

Abstract

objectivesTo use magnetic resonance fingerprinting (MRF)-derived T1 and T2 values to differentiate gonadotroph from non-gonadotroph pituitary macroadenomas based on the 2017 World Health Organization classification of pituitary adenomas.

methodsA total of 57 patients with suspected pituitary macroadenomas were enrolled for analyses in this study between May 2018 and January 2020. Conventional magnetic resonance imaging (MRI) and MRF were performed in all patients before surgery using a 3-T MRI scanner. MRF-derived T1 and T2 values were compared between the gonadotroph and non-gonadotroph pituitary macroadenomas using a Mann-Whitney U test. The Knosp classification was used to evaluate cavernous sinus invasion by the adenomas. Receiver operating characteristic analyses were used to determine the diagnostic performance of T1 and T2 values.

resultsQuantitative T1 and T2 values yielded from MRF of gonadotroph pituitary macroadenomas were significantly higher than those of the non-gonadotroph pituitary macroadenomas (p < 0.001 and = 0.002, respectively). The AUC for the T2 value (0.888) was significantly greater than that for the T1 value (0.742) (p = 0.034). The AUC for combined T1 and T2 values was 0.885. Non-gonadotroph pituitary macroadenomas were more likely to invade the cavernous sinus than gonadotroph pituitary macroadenomas (55% vs 26%, p = 0.026).

conclusionsMRF may help to preoperatively differentiate between gonadotroph and non-gonadotroph pituitary macroadenomas and may be useful in guiding the treatment of these adenomas. KEY POINTS: • Somatostatin receptor type 3 is the most abundant receptor subtype in gonadotroph pituitary adenomas. • Magnetic resonance fingerprinting may help to preoperatively differentiate between gonadotroph and non-gonadotroph pituitary macroadenomas. • Magnetic resonance fingerprinting shows potential for guiding the treatment of pituitary macroadenomas.

Indexed as

AdenomaGonadotrophsPituitary NeoplasmsHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyGonadotrophsMagnetic resonance imagingPituitary adenoma

Identifiers

PMID33914117
OpenAlexW3158390695

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Registered trials

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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.