200 related articles for article (PubMed ID: 35099144)
1. Predicting Subtype of Growth Hormone Pituitary Adenoma based on Magnetic Resonance Imaging Characteristics.
Liu CX; Wang SZ; Heng LJ; Han Y; Ma YH; Yan LF; Yu Y; Wang W; Hu YC; Cui GB
J Comput Assist Tomogr; 2022 Jan-Feb 01; 46(1):124-130. PubMed ID: 35099144
[TBL] [Abstract][Full Text] [Related]
2. A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.
Peng A; Dai H; Duan H; Chen Y; Huang J; Zhou L; Chen L
Eur J Radiol; 2020 Apr; 125():108892. PubMed ID: 32087466
[TBL] [Abstract][Full Text] [Related]
3. Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas.
Park YW; Kang Y; Ahn SS; Ku CR; Kim EH; Kim SH; Lee EJ; Kim SH; Lee SK
Pituitary; 2020 Dec; 23(6):691-700. PubMed ID: 32851505
[TBL] [Abstract][Full Text] [Related]
4. Tumor T2 signal intensity and stalk angulation correlates with endocrine status in pituitary adenoma patients: a quantitative 7 tesla MRI study.
Rutland JW; Pawha P; Belani P; Delman BN; Gill CM; Brown T; Cheesman K; Shrivastava RK; Balchandani P
Neuroradiology; 2020 Apr; 62(4):473-482. PubMed ID: 31925468
[TBL] [Abstract][Full Text] [Related]
5. Pituitary adenoma consistency: Direct correlation of ultrahigh field 7T MRI with histopathological analysis.
Yao A; Rutland JW; Verma G; Banihashemi A; Padormo F; Tsankova NM; Delman BN; Shrivastava RK; Balchandani P
Eur J Radiol; 2020 May; 126():108931. PubMed ID: 32146344
[TBL] [Abstract][Full Text] [Related]
6. [Analysis of correlation between magnetic resonance imaging features and prognosis of invasive pituitary adenoma].
Liu H; Zhang Q; Hang W; Liu G
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Oct; 55(10):926-933. PubMed ID: 33036507
[No Abstract] [Full Text] [Related]
7. Comparison of growth hormone-producing and non-growth hormone-producing pituitary adenomas: imaging characteristics and pathologic correlation.
Hagiwara A; Inoue Y; Wakasa K; Haba T; Tashiro T; Miyamoto T
Radiology; 2003 Aug; 228(2):533-8. PubMed ID: 12819334
[TBL] [Abstract][Full Text] [Related]
8. Preoperative prediction of granulation pattern subtypes in GH-secreting pituitary adenomas.
Heng L; Liu X; Jia D; Guo W; Zhang S; Gao G; Gong L; Qu Y
Clin Endocrinol (Oxf); 2021 Jul; 95(1):134-142. PubMed ID: 33738801
[TBL] [Abstract][Full Text] [Related]
9. Pre-operative MRI predictors of hormonal remission status post pituitary adenoma resection.
Braileanu M; Hu R; Hoch MJ; Mullins ME; Ioachimescu AG; Oyesiku NM; Pappy A; Saindane AM
Clin Imaging; 2019; 55():29-34. PubMed ID: 30731423
[TBL] [Abstract][Full Text] [Related]
10. Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery.
Zhang S; Song G; Zang Y; Jia J; Wang C; Li C; Tian J; Dong D; Zhang Y
Eur Radiol; 2018 Sep; 28(9):3692-3701. PubMed ID: 29572634
[TBL] [Abstract][Full Text] [Related]
11. Differentiating skull base chordomas and invasive pituitary adenomas with conventional MRI.
Gao A; Bai J; Cheng J; Cheng X; Li S; Zhang Z; Zhang Y
Acta Radiol; 2018 Nov; 59(11):1358-1364. PubMed ID: 29448805
[TBL] [Abstract][Full Text] [Related]
12. MRI criteria of subtypes of adenomas and epithelial cysts of the pituitary gland.
Bette S; Butenschön VM; Wiestler B; von Werder A; Schmid RM; Lehmberg J; Zimmer C; Meyer B; Kirschke JS; Gempt J
Neurosurg Rev; 2020 Feb; 43(1):265-272. PubMed ID: 30426354
[TBL] [Abstract][Full Text] [Related]
13. Analysis of Diffusion-Weighted and T2-Weighted Imaging in the Prediction of Distinct Granulation Patterns of Somatotroph Adenomas.
Tang Y; Xie T; Guo Y; Liu S; Li C; Liu T; Zhao P; Yang L; Li Z; Yang H; Zhang X
World Neurosurg; 2024 Feb; 182():e334-e343. PubMed ID: 38052365
[TBL] [Abstract][Full Text] [Related]
14. Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.
Kocak B; Durmaz ES; Kadioglu P; Polat Korkmaz O; Comunoglu N; Tanriover N; Kocer N; Islak C; Kizilkilic O
Eur Radiol; 2019 Jun; 29(6):2731-2739. PubMed ID: 30506213
[TBL] [Abstract][Full Text] [Related]
15. Volumetric Study of Nonfunctioning Pituitary Adenomas: Predictors of Gross Total Resection.
Pérez-López C; Palpán AJ; Saez-Alegre M; Zamarrón Á; Alfonso C; Álvarez-Escola C; Isla A
World Neurosurg; 2021 Mar; 147():e206-e214. PubMed ID: 33309892
[TBL] [Abstract][Full Text] [Related]
16. Relationship Between Pituitary Adenoma Consistency and Extent of Resection Based on Tumor/Cerebellar Peduncle T2-Weighted Imaging Intensity (TCTI) Ratio of the Point on Preoperative Magnetic Resonance Imaging (MRI) Corresponding to the Residual Point on Postoperative MRI.
Chen XY; Ding CY; You HH; Chen JY; Jiang CZ; Yan XR; Lin ZY; Kang DZ
Med Sci Monit; 2020 Jan; 26():e919565. PubMed ID: 31904008
[TBL] [Abstract][Full Text] [Related]
17. High-resolution(18)F-fluorodeoxyglucose positron emission tomography and magnetic resonance imaging for pituitary adenoma detection in Cushing disease.
Chittiboina P; Montgomery BK; Millo C; Herscovitch P; Lonser RR
J Neurosurg; 2015 Apr; 122(4):791-7. PubMed ID: 25479121
[TBL] [Abstract][Full Text] [Related]
18. Clinicopathological significance of baseline T2-weighted signal intensity in functional pituitary adenomas.
Dogansen SC; Yalin GY; Tanrikulu S; Tekin S; Nizam N; Bilgic B; Sencer S; Yarman S
Pituitary; 2018 Aug; 21(4):347-354. PubMed ID: 29460202
[TBL] [Abstract][Full Text] [Related]
19. Ten years' experience with intraoperative MRI-assisted transsphenoidal pituitary surgery.
Hlaváč M; Knoll A; Mayer B; Braun M; Karpel-Massler G; Etzrodt-Walter G; Coburger J; Wirtz CR; Paľa A
Neurosurg Focus; 2020 Jun; 48(6):E14. PubMed ID: 32480376
[TBL] [Abstract][Full Text] [Related]
20. Usefulness of the Texture Signatures Based on Multiparametric MRI in Predicting Growth Hormone Pituitary Adenoma Subtypes.
Liu CX; Heng LJ; Han Y; Wang SZ; Yan LF; Yu Y; Ren JL; Wang W; Hu YC; Cui GB
Front Oncol; 2021; 11():640375. PubMed ID: 34307124
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]