Literature DB >> 25338532

Predictive value of diffusion-weighted MRI for tumor consistency and resection rate of nonfunctional pituitary macroadenomas.

Maysam Alimohamadi1, Reza Sanjari, Abolghassem Mortazavi, Mohamad Shirani, Hedieh Moradi Tabriz, Homayoun Hadizadeh Kharazi, Abbas Amirjamshidi.   

Abstract

BACKGROUNDS: Firm tumor consistency is one of the most important factors that impede sufficient removal of pituitary macroademoas via a transsphenoidal approach. The utility of diffusion-weighted (DW) magnetic resonance imaging (MRI) in predicting the tumor consistency and successfulness of transsphenoidal resection was evaluated in this study.
METHODS: Thirty consecutive primary cases of nonfunctional pituitary macroadenomas were prospectively enrolled. Conventional and DW MRI were done for all the patients and the apparent diffusion coefficient (ADC) values and the signal intensity of the solid tumor were determined. Intraoperative report of tumor consistency, the degree of fibrosis and percentage of collagen content were documented. The 8 weeks postoperative MRI was used for calculation of the tumor resection rate.
RESULTS: The tumor consistency was soft in 10 patients (33.3 %), intermediate in 14 patients (46.7 %) and hard in 6 patients (20 %). The mean collagen content percentage was 10, 23.5 and 66 % (p = 0.009) and the average resection rate was 75, 43 39 % in the three groups respectively (p = 0.001). The mean ADC value was not significantly correlated with the tumor consistency and resection rate. Tumors with isointense to hyperintense signal on DW MRI were more commonly removable by suction and had higher resection rates than those with hypointense signals (p = 0.019). For ADC values within the range of 600-740 × 10(-3) mm(2)/s, a residual volume larger than 20 % of the tumor was more likely.
CONCLUSIONS: DW MRI was useful to predict the tumor consistency, collagen content and the chance of removal of pituitary macroadenomas through endoscopic transsphenoidal surgery, and is recommended in the preoperative patient evaluation.

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Year:  2014        PMID: 25338532     DOI: 10.1007/s00701-014-2259-6

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  13 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.  Diffusion-weighted imaging for predicting tumor consistency and extent of resection in patients with pituitary adenoma.

Authors:  Wei Ding; Zheng Huang; Gaofeng Zhou; Lang Li; Mingyu Zhang; Zhenyan Li
Journal:  Neurosurg Rev       Date:  2021-01-28       Impact factor: 3.042

4.  Predictive role of dynamic contrast enhanced T1-weighted MR sequences in pre-surgical evaluation of macroadenomas consistency.

Authors:  Andrea Romano; Valeria Coppola; Mariangela Lombardi; Luigi Lavorato; Domenica Di Stefano; Emanuela Caroli; Maria Camilla Rossi Espagnet; Francesca Tavanti; Giuseppe Minniti; Giuseppe Trillò; Alessandro Bozzao
Journal:  Pituitary       Date:  2017-04       Impact factor: 4.107

5.  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

6.  First Application of 7-T Magnetic Resonance Imaging in Endoscopic Endonasal Surgery of Skull Base Tumors.

Authors:  Thomas F Barrett; Hadrien A Dyvorne; Francesco Padormo; Puneet S Pawha; Bradley N Delman; Raj K Shrivastava; Priti Balchandani
Journal:  World Neurosurg       Date:  2017-03-27       Impact factor: 2.104

Review 7.  Machine Learning in Pituitary Surgery.

Authors:  Vittorio Stumpo; Victor E Staartjes; Luca Regli; Carlo Serra
Journal:  Acta Neurochir Suppl       Date:  2022

8.  Predicting pituitary adenoma consistency with preoperative magnetic resonance elastography.

Authors:  Salomon Cohen-Cohen; Ahmed Helal; Ziying Yin; Matthew K Ball; Richard L Ehman; Jamie J Van Gompel; John Huston
Journal:  J Neurosurg       Date:  2021-10-29       Impact factor: 5.408

9.  Investigating the application of diving endoscopic technique in determining the extent of pituitary adenoma resection via the trans-nasal-sphenoidal approach.

Authors:  Hai-Bin Gao; Li-Qing Wang; Jian-Yun Zhou; Wei Sun
Journal:  Exp Ther Med       Date:  2018-03-02       Impact factor: 2.447

10.  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.

Authors:  Xiao-Yong Chen; Chen-Yu Ding; Hong-Hai You; Jin-Yuan Chen; Chang-Zhen Jiang; Xiao-Rong Yan; Zhang-Ya Lin; De-Zhi Kang
Journal:  Med Sci Monit       Date:  2020-01-06
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