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Cited by in F6Publishing
For: Galm BP, Buckless C, Swearingen B, Torriani M, Klibanski A, Bredella MA, Tritos NA. MRI texture analysis in acromegaly and its role in predicting response to somatostatin receptor ligands. Pituitary 2020;23:212-22. [DOI: 10.1007/s11102-019-01023-0] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Lee T, Song K, Sohn B, Eom J, Ahn SS, Kim HS, Lee SK. A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI. Yonsei Med J 2022;63:856-63. [PMID: 36031786 DOI: 10.3349/ymj.2022.63.9.856] [Reference Citation Analysis]
2 Ershadinia N, Tritos NA. Diagnosis and Treatment of Acromegaly: An Update. Mayo Clinic Proceedings 2022;97:333-46. [DOI: 10.1016/j.mayocp.2021.11.007] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
3 Liu CX, Heng LJ, Han Y, Wang SZ, Yan LF, Yu Y, Ren JL, Wang W, Hu YC, Cui GB. Usefulness of the Texture Signatures Based on Multiparametric MRI in Predicting Growth Hormone Pituitary Adenoma Subtypes. Front Oncol 2021;11:640375. [PMID: 34307124 DOI: 10.3389/fonc.2021.640375] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Degirmenci N, Bektas H, Senturk E, Ilhan M, Gunaldi A, Yetis EUM, Eren SB. Changes in olfactory function and olfactory bulb after treatment for acromegaly. Eur Arch Otorhinolaryngol 2021;278:2357-62. [PMID: 33386970 DOI: 10.1007/s00405-020-06515-5] [Reference Citation Analysis]
5 Park YW, Kang Y, Ahn SS, Ku CR, Kim EH, Kim SH, Lee EJ, Kim SH, Lee SK. Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas. Pituitary 2020;23:691-700. [PMID: 32851505 DOI: 10.1007/s11102-020-01077-5] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]