Literature DB >> 17129884

To assess the ability of MRI to predict consistency of pituitary macroadenomas.

B Bahuleyan1, L Raghuram, V Rajshekhar, A G Chacko.   

Abstract

We prospectively studied the ability of magnetic resonance imaging (MRI) to predict the consistency of pituitary adenomas. The hypothesis was that firm, fibrous tumours would appear homogeneously hypointense on T2-weighted images. Eighty patients who underwent surgery for pituitary macroadenomas were studied. MR images were evaluated preoperatively by the radiologist. The tumour consistency was reported by the surgeon as soft or firm. There were 68 soft tumours and 12 firm tumours. Of the firm tumours, four (33%) were homogeneously isointense, one (8%) homogeneously hyperintense and seven (59%) were heterogeneous in appearance in T2-weighted images. We conclude that the consistency of pituitary macroadenomas cannot be accurately predicted based on MRI signal intensities.

Entities:  

Mesh:

Year:  2006        PMID: 17129884     DOI: 10.1080/02688690601000717

Source DB:  PubMed          Journal:  Br J Neurosurg        ISSN: 0268-8697            Impact factor:   1.596


  16 in total

1.  Predictive value of PWI for blood supply and T1-spin echo MRI for consistency of pituitary adenoma.

Authors:  Zengyi Ma; Wenqiang He; Yao Zhao; Jie Yuan; Qilin Zhang; Yue Wu; Hong Chen; Zhenwei Yao; Shiqi Li; Yongfei Wang
Journal:  Neuroradiology       Date:  2015-09-16       Impact factor: 2.804

2.  Accuracy of diffusion-weighted imaging-magnetic resonance in differentiating functional from non-functional pituitary macro-adenoma and classification of tumor consistency.

Authors:  Morteza Sanei Taheri; Farnaz Kimia; Mersad Mehrnahad; Hamidreza Saligheh Rad; Hamidreza Haghighatkhah; Afshin Moradi; Anahita Fathi Kazerooni; Mohammadreza Alviri; Abdorrahim Absalan
Journal:  Neuroradiol J       Date:  2018-12-03

3.  Endoscopic endonasal transsellar approach for laterally extended pituitary adenomas: volumetric analysis of cavernous sinus invasion.

Authors:  Masaaki Taniguchi; Kohkichi Hosoda; Nobuyuki Akutsu; Yutaka Takahashi; Eiji Kohmura
Journal:  Pituitary       Date:  2015-08       Impact factor: 4.107

4.  The current role of transcranial surgery in the management of pituitary adenomas.

Authors:  Ravindran Pratheesh; Simon Rajaratnam; Krishna Prabhu; Sunithi E Mani; Geeta Chacko; Ari G Chacko
Journal:  Pituitary       Date:  2013-12       Impact factor: 4.107

5.  Tumor to Cerebellar Peduncle T2-Weighted Imaging Intensity Ratio Fails to Predict Pituitary Adenoma Consistency.

Authors:  Panagiotis Mastorakos; Gautam U Mehta; Ajay Chatrath; Shayan Moosa; Maria-Beatriz Lopes; Spencer C Payne; John A Jane
Journal:  J Neurol Surg B Skull Base       Date:  2018-08-24

6.  Magnetic resonance elastography detects tumoral consistency in pituitary macroadenomas.

Authors:  Joshua D Hughes; Nikoo Fattahi; J Van Gompel; Arvin Arani; Richard Ehman; John Huston
Journal:  Pituitary       Date:  2016-06       Impact factor: 4.107

7.  Prediction of Consistency of Pituitary Adenomas by Magnetic Resonance Imaging.

Authors:  Kyle A Smith; John D Leever; Roukoz B Chamoun
Journal:  J Neurol Surg B Skull Base       Date:  2015-04-27

8.  Relationship between pituitary adenoma texture and collagen content revealed by comparative study of MRI and pathology analysis.

Authors:  Liangfeng Wei; Shun-An Lin; Kaichun Fan; Deyong Xiao; Jingfang Hong; Shousen Wang
Journal:  Int J Clin Exp Med       Date:  2015-08-15

Review 9.  Clinical relevance of tumor consistency in pituitary adenoma.

Authors:  Alberto Acitores Cancela; Víctor Rodríguez Berrocal; Héctor Pian; Juan Salvador Martínez San Millán; Juan José Díez; Pedro Iglesias
Journal:  Hormones (Athens)       Date:  2021-06-19       Impact factor: 2.885

10.  Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly.

Authors:  Yanghua Fan; Shenzhong Jiang; Min Hua; Shanshan Feng; Ming Feng; Renzhi Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2019-08-27       Impact factor: 5.555

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.