OBJECT: Biopsy targeting based on MR imaging alone may fail to identify malignant areas in brain gliomas. Considering the differences in relative Cerebral Blood Volume (rCBV) ratios reported among tumour grades, we evaluated whether perfusion-weighted MR imaging (PWI) could usefully implement the routine preoperative imaging by detecting those areas bearing a higher yield for malignancy to guide the stereotactic biopsy or the surgical removal. CLINICAL MATERIAL AND METHODS: We studied a series of 55 consecutive patients with newly diagnosed brain glioma using both conventional MR imaging and PWI in the preoperative assessment. The pathological diagnosis was established by stereotactic biopsy in 29 cases and by craniotomy in 24 cases. We evaluated the patient survival to detect undergrading. DISCUSSION: Independent from contrast-enhancement, perfusion-weighted MR imaging improved the target selection in stereotactic biopsy guidance and the removal of malignant areas in tumours amenable to surgery. Particularly sensitive to the perfused part of the tumour as to small regional changes, rCBV maps allowed a better detection of malignant areas. The rCBV ratios correlated significantly to the tumour grade and the final outcome (p < 0.01). CONCLUSIONS: We found PWI valuable in the preoperative assessment of brain gliomas, discriminating high from low-grade gliomas. PWI can easily be performed on widely available MR imaging systems as part of the routine imaging of gliomas.
OBJECT: Biopsy targeting based on MR imaging alone may fail to identify malignant areas in brain gliomas. Considering the differences in relative Cerebral Blood Volume (rCBV) ratios reported among tumour grades, we evaluated whether perfusion-weighted MR imaging (PWI) could usefully implement the routine preoperative imaging by detecting those areas bearing a higher yield for malignancy to guide the stereotactic biopsy or the surgical removal. CLINICAL MATERIAL AND METHODS: We studied a series of 55 consecutive patients with newly diagnosed brain glioma using both conventional MR imaging and PWI in the preoperative assessment. The pathological diagnosis was established by stereotactic biopsy in 29 cases and by craniotomy in 24 cases. We evaluated the patient survival to detect undergrading. DISCUSSION: Independent from contrast-enhancement, perfusion-weighted MR imaging improved the target selection in stereotactic biopsy guidance and the removal of malignant areas in tumours amenable to surgery. Particularly sensitive to the perfused part of the tumour as to small regional changes, rCBV maps allowed a better detection of malignant areas. The rCBV ratios correlated significantly to the tumour grade and the final outcome (p < 0.01). CONCLUSIONS: We found PWI valuable in the preoperative assessment of brain gliomas, discriminating high from low-grade gliomas. PWI can easily be performed on widely available MR imaging systems as part of the routine imaging of gliomas.
Authors: Vera C Keil; Bogdan Pintea; Gerrit H Gielen; Susanne Greschus; Rolf Fimmers; Jürgen Gieseke; Matthias Simon; Hans H Schild; Dariusch R Hadizadeh Journal: J Neurooncol Date: 2017-04-19 Impact factor: 4.130
Authors: Luke Macyszyn; Hamed Akbari; Jared M Pisapia; Xiao Da; Mark Attiah; Vadim Pigrish; Yingtao Bi; Sharmistha Pal; Ramana V Davuluri; Laura Roccograndi; Nadia Dahmane; Maria Martinez-Lage; George Biros; Ronald L Wolf; Michel Bilello; Donald M O'Rourke; Christos Davatzikos Journal: Neuro Oncol Date: 2015-07-16 Impact factor: 12.300
Authors: F E Valles; C L Perez-Valles; S Regalado; R F Barajas; J L Rubenstein; S Cha Journal: AJNR Am J Neuroradiol Date: 2012-08-30 Impact factor: 3.825
Authors: L Khalid; M Carone; N Dumrongpisutikul; J Intrapiromkul; D Bonekamp; P B Barker; D M Yousem Journal: AJNR Am J Neuroradiol Date: 2012-01-19 Impact factor: 3.825
Authors: Christopher R Durst; Prashant Raghavan; Mark E Shaffrey; David Schiff; M Beatriz Lopes; Jason P Sheehan; Nicholas J Tustison; James T Patrie; Wenjun Xin; W Jeff Elias; Kenneth C Liu; Greg A Helm; A Cupino; Max Wintermark Journal: Neuroradiology Date: 2013-12-15 Impact factor: 2.804
Authors: Asim K Bag; Phillip C Cezayirli; Jake J Davenport; Santhosh Gaddikeri; Hassan M Fathallah-Shaykh; Alan Cantor; Xiaosi S Han; Louis B Nabors Journal: J Neurooncol Date: 2014-08-07 Impact factor: 4.130
Authors: Kathleen M Schmainda; Zheng Zhang; Melissa Prah; Bradley S Snyder; Mark R Gilbert; A Gregory Sorensen; Daniel P Barboriak; Jerrold L Boxerman Journal: Neuro Oncol Date: 2015-02-02 Impact factor: 12.300
Authors: Friso W A Hoefnagels; Frank J Lagerwaard; Esther Sanchez; Cornelis J A Haasbeek; Dirk L Knol; Ben J Slotman; W Peter Vandertop Journal: J Neurol Date: 2009-03-10 Impact factor: 4.849