Literature DB >> 35043292

Editorial Comment: Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas.

Vincent Bourbonne1.   

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Year:  2022        PMID： 35043292     DOI： 10.1007/s00330-021-08509-1

Source DB:  PubMed          Journal:  Eur Radiol        ISSN： 0938-7994            Impact factor:   5.315


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  9 in total

1.  Clinical, hormonal and molecular characterization of pituitary ACTH adenomas without (silent corticotroph adenomas) and with Cushing's disease.

Authors:  Gérald Raverot; Anne Wierinckx; Emmanuel Jouanneau; Carole Auger; Françoise Borson-Chazot; Joël Lachuer; Michel Pugeat; Jacqueline Trouillas
Journal:  Eur J Endocrinol       Date:  2010-04-12       Impact factor: 6.664

2.  Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma.

Authors:  Yae Won Park; Jihwan Eom; Sooyon Kim; Hwiyoung Kim; Sung Soo Ahn; Cheol Ryong Ku; Eui Hyun Kim; Eun Jig Lee; Sun Ho Kim; Seung-Koo Lee
Journal:  J Clin Endocrinol Metab       Date:  2021-07-13       Impact factor: 5.958

Review 3.  The 2017 World Health Organization classification of tumors of the pituitary gland: a summary.

Authors:  M Beatriz S Lopes
Journal:  Acta Neuropathol       Date:  2017-08-18       Impact factor: 17.088

4.  Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery.

Authors:  Shuaitong Zhang; Guidong Song; Yali Zang; Jian Jia; Chao Wang; Chuzhong Li; Jie Tian; Di Dong; Yazhuo Zhang
Journal:  Eur Radiol       Date:  2018-03-23       Impact factor: 5.315

5.  Clinical Parameters to Distinguish Silent Corticotroph Adenomas from Other Nonfunctioning Pituitary Adenomas.

Authors:  Daham Kim; Cheol Ryong Ku; Se Hee Park; Ju Hyung Moon; Eui Hyun Kim; Sun Ho Kim; Eun Jig Lee
Journal:  World Neurosurg       Date:  2018-04-17       Impact factor: 2.104

6.  Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas.

Authors:  Wenting Rui; Nidan Qiao; Yao Zhao; Zhenwei Yao; Yue Wu; Yong Zhang; Ababikere Aili; Zhaoyun Zhang; Hongying Ye; Yongfei Wang
Journal:  Eur Radiol       Date:  2021-11-27       Impact factor: 7.034

Review 7.  The Epidemiology of Pituitary Adenomas.

Authors:  Adrian F Daly; Albert Beckers
Journal:  Endocrinol Metab Clin North Am       Date:  2020-06-10       Impact factor: 4.741

8.  Clinical profiles of silent corticotroph adenomas compared with silent gonadotroph adenomas after adopting the 2017 WHO pituitary classification system.

Authors:  Shenzhong Jiang; Jianyu Zhu; Ming Feng; Yong Yao; Kan Deng; Bing Xing; Wei Lian; Renzhi Wang; Xinjie Bao
Journal:  Pituitary       Date:  2021-03-02       Impact factor: 4.107

9.  Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images.

Authors:  Jianxing Niu; Shuaitong Zhang; Shunchang Ma; Jinfu Diao; Wenjianlong Zhou; Jie Tian; Yali Zang; Wang Jia
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315
  9 in total

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