Predicting Subtype of Growth Hormone Pituitary Adenoma based on Magnetic Resonance Imaging Characteristics.

Authors:
Liu CX; Wang SZ; Heng LJ; Han Y; Ma YH and 5 more

Journal:
J Comput Assist Tomogr

Publication Year: 2022

DOI:
10.1097/RCT.0000000000001249

PMCID:
PMC8763249

PMID:
35099144

Journal Information

Full Title: J Comput Assist Tomogr

Abbreviation: J Comput Assist Tomogr

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Radiology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"The authors declare no conflict of interest."

Evidence found in paper:

"We would like to thank Dr Xiao-Cheng Wei in GE Healthcare China for providing technical support regarding the appropriate applied MRI sequence. This work was supported by the Science and Technology Innovation Development Foundation of Tangdu Hospital (No. 2017LCYJ004). Our article did not received funding for research from any of the following organizations: National Institutes of Health, Wellcome Trust, and Howard Hughes Medical Institute."

Protocol Registration
Open Access
Paper is freely available to read
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Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025