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DOI: 10.1055/s-0043-1772758
Preoperative Diffusion Tensor Imaging in Supratentorial Intra-Axial Brain Tumors: Its Role in Predicting Tumor Histology and Prognosis as well in Surgical Planning and Resection
Authors
Funding None.
Abstract
Objective There are a large number of prospective studies that use diffusion tensor imaging (DTI) to show the relationship between intracranial tumors and white matter (WM) fibers. We studied the role of DTI in supratentorial intra-axial (ST-IA) tumors of the brain in deciding the surgical approach with maximal resection and minimal or no deficit and in predicting the histological characterization of the tumor and the neurological outcome.
Methods A total of 91 cases of ST-IA tumors were included in our study. The neurological status of the patients was assessed preoperatively, and the tumor volume and DTI pattern were noted radiologically. Surgical plan was decided by the senior consultants of the neurosurgery department taking into consideration the findings of tractography and magnetic resonance imaging. The neurological status and the extent of resection were evaluated postoperatively, and the correlation between histopathology with DTI was studied.
Results Of the 91 patients, 25 had high-grade glioma (HGG), 60 had low-grade glioma (LGG), and 6 were metastatic lesions. Gross total excisions were done mostly in patients with DTI showing displaced fibers and subtotal/partial resections were done mostly in disrupted/infiltrated tracts, which was statistically significant. The correlation between histopathology and tractography revealed that intact/displaced tracts were seen mostly in LGG (79%), whereas 86% of HGG showed disrupted/infiltrated fibers; both were statistically significant.
Conclusion Preoperative DTI in ST-IA brain tumors is an important tool for deciding the appropriate surgical approach for maximal safe resection, thus improving the post-op neurological outcome in patients. It also helps in predicting the tumor histology while also serving as an important prognostication indicator.
Keywords
diffusion tensor imaging - white matter - supratentorial intra-axial - low-grade glioma - high-grade gliomaIntroduction
Intra-axial tumors are the most common brain tumors encountered by neurosurgeons. The challenge that surgeons face in dealing with these tumors is the proximity of these tumors to the eloquent areas,[1] damage to which can increase the morbidity in these patients. Diffusion tensor imaging (DTI) can assess the white matter (WM) tract orientation with respect to tumor location in numerous planes,[2] [3] so it is a good option to plan for surgical approach and path.[4] [5] We evaluated the role of DTI in planning the approach, pattern of tracts in various histologies, and neurological outcome.
Methods
The study was conducted in the Department of Neurosurgery of Sawai Maan Singh Medical College and Hospital, Jaipur, Rajasthan, India, from August 2019 to January 2021 after approval of the ethical committee of the institution. All the patients of supratentorial intra-axial tumors who fulfilled the inclusion criteria were included in the study after obtaining well-informed consent from patients and their relatives. The institute did not provide any funds or scholarships. In this prospective study, a total 91 patients were included.
Inclusion Criteria
Patients with supratentorial intra-axial (ST-IA) brain tumors in all age groups who were fit for surgery and follow-up were included in the study.
Exclusion Criteria
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Supratentorial extraparenchymal brain tumors and infratentorial tumors.
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Any contraindication to surgery or if the patient is unfit for surgery.
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Patients in whom magnetic resonance imaging (MRI) could not be done.
History taking and thorough neurological/clinical examination were done for all the patients included in the study. Preoperative MRI and DTI were done in all the patients and the preoperative tumor volume and pattern of tracts in tractography were evaluated. Surgical approach with site of corticotomy and extent of resection was planned by consultants of the neurosurgery department using sulcal/gyral pattern adjacent to the tumor in MRI and WM tract pattern in DTI in relation with the tumor, and the same consultants operated upon these patients.
The post-op neurologic status was assessed at first, postoperative day 7 and then at 3 weeks after surgery, and a comparison with the preoperative neurological status was done. After surgery, MRI was done at 3 weeks and the tumor volume was assessed compared with the presurgical volume. The relationship of the DTI findings with the extent of resection and tumor histology was studied.
Magnetic Resonance Imaging Protocol
A MR study was done using a 3-T MR system of Philips (3T-Ingenia) having an encoding head coil of eight-element phased-array sensitivity.
Sequences seen were the following: T2-weighted, fluid-attenuated inversion recovery (FLAIR), diffusion-weighted imaging (DWI), and T1-weighted sequence with and without contrast.
Diffusion Tensor Imaging
It was done by a single-shot spin echo planar pulse sequence with repetition time of 3,000 microseconds, 94-microsecond echo time, thickness slice of around 2.5 mm, 92 × 88 matrix, and 90-degree flip angle with a nil slice gap. Using the regions of interest (ROI) for each tract, the corticospinal tract, optic radiations and tract, uncinate fascicle, inferior longitudinal fasciculus (ILF), and superior longitudinal fascicle (SLF) were made. DTI Studio was used to assess the images and eigenvector with maps of fractional anisotropy (FA). Direction of diffusion was described by FA. A higher FA in a voxel suggested movement, mostly in one direction/axis, and low FA indicated movement occurring in all three directions/axes. Different but specific color maps with standard coding were generated using their combination, with red (x, left–right), blue (z, craniocaudal), and green (y, anteroposterior), using intensity scale proportional to their FA. Formed images were thoroughly evaluated and then the tracts were labeled as displaced, infiltrated, and disrupted.
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● Displaced tracts are defined as tracts showing normal or only slightly decreased FA, resulting from bulk mass displacement ([Figs. 1], [2]).
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● Infiltrated tracts are defined as tracts showing reduced anisotropy but that remained identifiable on color maps ([Figs. 3], [4]).
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● A disrupted tract is defined as a tract showing isotropic (or near-isotropic) diffusion, such that it could not be identified on directional color maps ([Figs. 5], [6]).












Tumor volume analysis: In low-grade gliomas, FLAIR sequences of MRI were used to assess the preoperative and postoperative tumor volumes, while in high-grade gliomas, postcontrast T1 images were assessed for the same using OSIRIX software. Small and large tumors were classified as preoperative tumor volume less than 100 cm3 and greater than 100 cm3, respectively. The amount of tumor resected was assessed on postoperative MRI done at 3 weeks and classified as per the Berger classification[6] [7] with surgical outcome defined as total excision with postoperative volume less than 1 cm3,[5] subtotal excision with residual volume of 1 to 10 cm3, and partial removal/excision with residual volume greater than 10 cm3.
Statistical analysis: Computer software SPSS was used for statistical analysis with percentages and proportions used to express categorical data with standard deviations and mean for assessable data as χ 2 test was used to analyze the difference in proportion. For tests, the level of significance was determined as 95% (p value <0.05).
Results
Patient Population
Of the 91 patients included in the study, 61 (67%) were males and 30 (32.9%) were females. The mean age was 43 years (range: 15–81 years). Power weakness was present in 30 (32.9%) patients, speech/language abnormality in 04 (4.4%) patients, headache in 61 (67.03%) patients, behavior charges in 14 (15.38%) patients, seizure in 41 (45.05%) patients, and memory impairment in 6 (6.59%) patients, with 16 patients (17.5%) presenting with cognitive impairment ([Table 1]).
In 44 patients (48.35%), tumors were present in the left cerebral hemisphere, while in the remaining 47 (51.64%) patients, tumors were present in right cerebral hemisphere. A frontal lobe pathology was seen in 34 (37%) patients, parietal lobe was involved in 11 (12.08%) patients, and temporal lobe was involved in 12 (13.18%) patients. Involvement of more than one lobe was observed in 26 (28.57%) patients ([Fig. 7]).


DTI showed displaced fascicles in 39 (42.8%) patients, infiltrated fascicles in 33 (36.2%) patients, and disrupted fascicles in 19 (20.8%) patients ([Table 2]).
Diffusion tensor imaging |
Total no. of patients |
% |
---|---|---|
Displaced |
39 |
42.85 |
Infiltrated |
33 |
36.26 |
Disrupted |
19 |
20.87 |
Abbreviation: DTI, diffusion tensor imaging.
On histopathological analysis, LGG was present in 60 patients, HGG in 25 patients, and metastatic lesions in 6 patients ([Table 3]). Oligodendroglioma was present in 19 (20.87%) patients, glioblastoma (GBM) in 14 (15.38%) patients, neurocytoma in 3 (3.29%) patients, astrocytoma in 37 (40.65%) patients, oligoastrocytoma in 12 (13.18%) patients, and adenocarcinoma in 4 (4.34%) patients ([Fig. 8]).


Grade of tumor |
Total no. of patients |
% |
---|---|---|
Low-grade glioma |
60 |
65.9 |
High-grade glioma |
25 |
27.47 |
Metastasis |
6 |
5.49 |
Surgical Outcome
Seventy-three (80.21%) patients had a tumor volume of less than 100 cm3 and 17 (18.68%) had a tumor volume greater than 100 cm3 preoperatively ([Table 4]). Only 54 of 91 patients came for follow-up and their post-op MRI was done at 3 weeks to calculate the residual tumor volume. Due to the COVID-19 pandemic, our institution was turned into a dedicated COVID-19 treatment center, so many of the patients went to other regional hospitals for further chemoradiotherapy and were lost to follow-up.
Tumor volume, operative (cm3) |
Total no. of patients |
% |
---|---|---|
< 100 |
73 |
80.21 |
> 100 |
17 |
18.68 |
In tumors less than 100 cm3, displaced tracts were seen in 19 patients preoperatively. In these patients, a postoperative tumor volume of less than 1 cm3 was seen in 12 patients (63.15%), while 5 patients had a tumor volume of 1 to 10 cm3 (26.3%) and 2 patients had a tumor volume of greater than 10 cm3 (10.5%) postoperatively. Infiltrated fascicles were present in nine patients, with one patient (11.1%) with a tumor volume of less than 1 cm3 postoperatively, six (16.6%) patients with a volume of 1 to 10 cm3, and two patients (22.2%) with tumor volume greater than 10 cm3. Disrupted tracts were seen in 10 patients in the same category of patients, with postoperative tumor volume less than 1 cm3 in one (10%) patient, 1 to 10 cm3 in three (30%) patients, and greater than 10 cm3 in 6 (60%) patients ([Table 5]). Statistical analysis showed significant results on χ 2 test between the fascicle type and tumor residual volumes postoperatively, thus confirming that surgical resection is complete/maximum in displaced fascicles and subtotal or partial resection done maximally in infiltrated/disrupted tracts ([Table 5]).
Abbreviation: DTI, diffusion tensor imaging.
Seven patients with a tumor volume greater than 100 cm3 had displaced/intact fascicles. Among these patients, postoperatively, one (14.2%) patient had a tumor volume of less than 1 cm3, two (28.57%) patients had a tumor volume of 1 to 10 cm3, and four (57.14%) patients had a tumor volume of greater than 10 cm3. Infiltrated fascicles were seen in six patients with a tumor volume greater than 100 cm3 and postoperatively no patient had tumor volume less than 1 cm3, two (33.33%) patients had a tumor volume of 1 to10 cm3, and four (66.67%) patients had a tumor volume greater than 10 cm3. Disrupted fascicles were present in three patients and postoperatively a tumor volume less than 1 cm3 was seen in none of the patients, tumor volume of 1 to 10 cm3 was seen in one (33.33%) patient, and tumor volume greater than 10 cm3 was observed in two (66.67%) patients. Statistical analysis showed no significant difference in results with regard to fascicle involvement in the postoperative residual tumor volume in the greater than 100 cm3 category, suggesting that maximum patients with large tumors had subtotal or partial resections ([Table 6]).
Abbreviation: DTI, diffusion tensor imaging.
Histopathology was correlated with fascicle type in DTI in all patients. LGGs were seen in 35 (38.46%) patients, HGGs in 50 (54.94%) patients, and metastatic lesions in 6 (6.5%) patients. The pattern of fascicles in different histopathologic findings was studied. In the displaced fascicle category, 30 patients (76.92%) had LGGs, 7 patients (9.3%) had HGGs, and 2 patients (5.1%) had metastatic lesions. In infiltrated and disrupted fascicles, LGGs were seen in 5 (9.6%) patients, HGGs in 43 (82.69%) patients, and metastatic lesions in 4 (7.6%) patients. The relationship between the fascicle type on DTI and histopathology was statistically significant on χ 2 test. Thus, displaced fascicles were maximally seen in LGGs, while infiltrated or disrupted fascicles were mostly seen in HGGs and metastatic lesions ([Table 8], [Fig. 9]).
Improvement in the postoperative neurological status was found in 34 of 39 (86%) patients with displaced WM tracts, while in the remaining 5 patients, no improvement was seen. Also, improvement in the neurological status was seen in only 25 (48%) cases with infiltrated and disrupted pattern of WM tracts, and in other 27 cases, there was no improvement postoperatively ([Table 7]).
Abbreviation: DTI, diffusion tensor imaging.
Note: p-value = 0.000111.
Chi-square value: 14.9.
Discussion
Neuro-oncological surgeries demand a balance between maximal tumor resection and preservation of neurological functions. The maximal tumoral resection with radiotherapy or chemotherapy appears to be more effective and also diminishes chances of early recurrence.[8] [9] [10] [11] [12] Safeguarding of the somatomotor, language, visual, and other eloquent cortical areas during resection improves the outcome of patients.[6] [7] In DTI, we can study the different patterns of WM tract involvement by the tumors as being intact/displaced, infiltrated, or damaged.[13]
Our study is unique in depicting the role of preoperative DTI in supratentorial tumors and presents a new tool to predict the tumor histology and help in surgical planning and resection while also serving as the prognostication indicator.
We studied 91 patients, comprising 61 males (67%) and 30 females (32%), with age ranging from 16 to 82 years. The most common location of tumors was found in the frontal lobes (37%), followed by the temporal (13%) and parietal regions (12%), and more than one lobe was seen involved in 29% of cases ([Table 1]). The most common histopathology seen are astrocytomas (low and high grades), followed by oligodendroglioma, GBM, and oligoastrocytoma ([Fig. 8]).
In our study, as described in previous studies, the WM tracts were classified as intact/displaced, infiltrated, and disrupted on the basis of direction of strands and their FA values. On the basis of the pattern of tracts in relation to the tumor, a safest surgical approach was selected in each patient individually. In tumors with a preoperative size less than 100 cm3, it was found that maximal resection was possible in tumors with displaced tracts (89% of cases) and subtotal resections were done mostly in patients with infiltrated/disrupted (56% of cases) tracts showing that in comparison to HGGs a plane for surgical resection between tumor and parenchyma was easily available in LGGs, leading to their maximal safe resection, and these results were also statistically significant with p-value less than 0.05 ([Table 5]).
Similar findings were noticed in studies done by Castellano et al[14] and Khan et al[15] where DTI predicted the extent of resection with maximal resections possible in tumors with displaced/intact WM tracts, while infiltrating tumors were less likely to be resected completely.
In our study, we also found that the size of the tumor is also an independent factor for the extent of resection as in tumor with size greater than 100 cm3, 60% of patients had subtotal resection irrespective of the pattern of tracts in pre-op DTI. Our study did not use neuromonitoring, awake craniotomy, functional MRI, intraoperative MRI, and ultrasound. Thus, due to risks involved in extensive resections to adjacent eloquent areas, subtotal resections must have been preferred in these cases. Statistical analysis of the relation of the pattern of the WM tracts with the extent of resection showed no significant results in tumors greater than 100 cm3 with p value greater than 0.05. Studies conducted by Khan et al also showed similar results[14] ([Table 6]).
The histopathological analysis after resection of tumors showed that displacement of the WM tracts was characteristically seen in LGGs (30 of 39 patients, i.e., 79%), while infiltrated/damaged fibers tracts were seen HGGs (43 of 52 patients, i.e., 82.69%). These results were statistically significant with p value less than 0.05, suggesting that LGGs mostly displace the WM tracts, while infiltrated/disrupted fibers are mostly seen in HGGs. On the basis of the pattern of the WM tracts, we can predict ([Table 8]) the histological characterization of tumors, which can help in prognosticating the patients before surgery. In our study, as maximal resection of tumors without damaging the WM tracts was possible mostly in LGGs, while subtotal resections were done mostly in tumors with HGGs, a similar pattern is also seen in previously conducted studies[5] [16] [17] ([Fig. 9]).
Abbreviations: DTI, diffusion tensor imaging; ST-IA, supratentorial intra-axial.


Improvement in postoperative neurological status was found in 34 of 39 (86%) patients with displaced WM tracts and in only 25 (48%) cases with infiltrated and disrupted pattern of WM tracts. This study showed that displaced WM tracts, mostly seen in ([Table 7]) LGGs, had improvement in neurological status postoperatively, due to the good plane between tumor and adjacent parenchyma, which attributes to preserved anisotropy of fibers. On the other hand, infiltrated/disrupted tracts in high-grade tumors had no clear margin, which could be ascertained, leading to their subtotal resections with minimal improvement in neurological status postoperatively.
Hence, on the basis of the pattern of tracts in the preoperative DTI, one can predict the histopathology (either low or high grade), extent of resections, and neurological outcome in patients; hence, we can prognosticate about these patients as well.
DTI also has some drawbacks. In cases of significant peritumoral edema, it is difficult to differentiate whether this change or decrease in anisotropy is due to edema or infiltration due to neoplasm, which is a tricky situation to asses in HGGs. Also, there is significant shift of brain tissue during surgical maneuver, so preoperative DTI may not tell us the exact location of fibers in relation to the tumor while operating due to a shift seen in tracts during surgery.[17] [18] These two reasons can be the significant causes for subtotal resection, which were done in big tumors with disrupted fibers on DTI. Also, DTI adds up in cost of treatment, which is a major drawback.
Conclusion
Our study has shown that preoperative DTI provides the neurosurgeon with a safe surgical corridor preserving the WM tracts, thus improving both surgical and neurological outcome in patients. The displaced fiber pattern is mostly seen in LGGs, while the infiltrated and disrupted patterns of fascicles are seen in HGGs, revealing the prognostic value of DTI in brain tumors. The pattern of fascicle involvement also correlates with the extent of tumor resection, as in intact fascicles, the extent of resection was more when compared with the infiltrated/disrupted fascicles. Thus DTI acts as a pre-operative prognostication indicator in relation to the tumour before the actual histologic grading. It also helps neurosurgeon to decide upon a safe surgical corridor while proceeding towards gross total resection in displaced fibres and near total resections in infiltrated fibres.
Conflict of Interest
None declared.
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References
- 1 Sugahara T, Korogi Y, Tomiguchi S. et al. Posttherapeutic intraaxial brain tumor: the value of perfusion-sensitive contrast-enhanced MR imaging for differentiating tumor recurrence from nonneoplastic contrast-enhancing tissue. AJNR Am J Neuroradiol 2000; 21 (05) 901-909
- 2 Giese A, Westphal M. Glioma invasion in the central nervous system. . Neurosurg 1996; 39 (02) 235-250
- 3 Chanraud S, Zahr N, Sullivan EV, Pfefferbaum A. MR diffusion tensor imaging: a window into white matter integrity of the working brain. Neuropsychol Rev 2010; 20 (02) 209-225
- 4 Ansari SF, Bohnstedt BN, Perkins SM, Althouse SK, Miller JC. Efficacy of postoperative seizure prophylaxis in intra-axial brain tumor resections. J Neurooncol 2014; 118 (01) 117-122
- 5 Ammirati M, Vick N, Liao YL, Ciric I, Mikhael M. Effect of the extent of surgical resection on survival and quality of life in patients with supratentorial glioblastomas and anaplastic astrocytomas. Neurosurgery 1987; 21 (02) 201-206
- 6 Bello L, Gallucci M, Fava M. et al. Intraoperative subcortical language tract mapping guides surgical removal of gliomas involving speech areas. Neurosurgery 2007; 60 (01) 67-80 , discussion 80–82
- 7 Mandonnet E, Jbabdi S, Taillandier L. et al. Preoperative estimation of residual volume for WHO grade II glioma resected with intraoperative functional mapping. Neuro-oncol 2007; 9 (01) 63-69
- 8 Smith JS, Chang EF, Lamborn KR. et al. Role of extent of resection in the long-term outcome of low-grade hemispheric gliomas. J Clin Oncol 2008; 26 (08) 1338-1345
- 9 Stummer W, Reulen HJ, Meinel T. et al; ALA-Glioma Study Group. Extent of resection and survival in glioblastoma multiforme: identification of and adjustment for bias. Neurosurgery 2008; 62 (03) 564-576 , discussion 564–576
- 10 Sanai N, Berger MS. Glioma extent of resection and its impact on patient outcome. Neurosurgery 2008; 62 (04) 753-764 , discussion 264–266
- 11 Berger MS, Rostomily RC. Low grade gliomas: functional mapping resection strategies, extent of resection, and outcome. J Neurooncol 1997; 34 (01) 85-101
- 12 Talos IF, Zou KH, Ohno-Machado L. et al. Supratentorial low-grade glioma resectability: statistical predictive analysis based on anatomic MR features and tumor characteristics. Radiology 2006; 239 (02) 506-513
- 13 Field AS, Alexander AL, Wu YC, Hasan KM, Witwer B, Badie B. Diffusion tensor eigenvector directional color imaging patterns in the evaluation of cerebral white matter tracts altered by tumor. J Magn Reson Imaging 2004; 20 (04) 555-562
- 14 Castellano A, Bello L, Michelozzi C, Gallucci M, Fava E, Iadanza A, Riva M, Casaceli G, Falini A. Role of diffusion tensor magnetic resonance tractography in predicting the extent of resection in glioma surgery. Neuro Oncol 2012; 14 (02) 192-202
- 15 Khan KA, Jain SK, Sinha VD, Sinha J. Preoperative diffusion tensor imaging: a landmark modality for predicting the outcome and characterization of supratentorial intra-axial brain tumors. World Neurosurg 2019; 124: e540-e551
- 16 Kono K, Inoue Y, Nakayama K. et al. The role of diffusion-weighted imaging in patients with brain tumors. AJNR Am J Neuroradiol 2001; 22 (06) 1081-1088
- 17 Maesawa S, Fujii M, Nakahara N, Watanabe T, Wakabayashi T, Yoshida J. Intraoperative tractography and motor evoked potential (MEP) monitoring in surgery for gliomas around the corticospinal tract. World Neurosurg 2010; 74 (01) 153-161
- 18 Nimsky C, Ganslandt O, Hastreiter P. et al. Preoperative and intraoperative diffusion tensor imaging-based fiber tracking in glioma surgery. Neurosurgery 2005; 56 (01) 130-137 , discussion 138
Address for correspondence
Publication History
Article published online:
13 September 2023
© 2023. Asian Congress of Neurological Surgeons. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Sugahara T, Korogi Y, Tomiguchi S. et al. Posttherapeutic intraaxial brain tumor: the value of perfusion-sensitive contrast-enhanced MR imaging for differentiating tumor recurrence from nonneoplastic contrast-enhancing tissue. AJNR Am J Neuroradiol 2000; 21 (05) 901-909
- 2 Giese A, Westphal M. Glioma invasion in the central nervous system. . Neurosurg 1996; 39 (02) 235-250
- 3 Chanraud S, Zahr N, Sullivan EV, Pfefferbaum A. MR diffusion tensor imaging: a window into white matter integrity of the working brain. Neuropsychol Rev 2010; 20 (02) 209-225
- 4 Ansari SF, Bohnstedt BN, Perkins SM, Althouse SK, Miller JC. Efficacy of postoperative seizure prophylaxis in intra-axial brain tumor resections. J Neurooncol 2014; 118 (01) 117-122
- 5 Ammirati M, Vick N, Liao YL, Ciric I, Mikhael M. Effect of the extent of surgical resection on survival and quality of life in patients with supratentorial glioblastomas and anaplastic astrocytomas. Neurosurgery 1987; 21 (02) 201-206
- 6 Bello L, Gallucci M, Fava M. et al. Intraoperative subcortical language tract mapping guides surgical removal of gliomas involving speech areas. Neurosurgery 2007; 60 (01) 67-80 , discussion 80–82
- 7 Mandonnet E, Jbabdi S, Taillandier L. et al. Preoperative estimation of residual volume for WHO grade II glioma resected with intraoperative functional mapping. Neuro-oncol 2007; 9 (01) 63-69
- 8 Smith JS, Chang EF, Lamborn KR. et al. Role of extent of resection in the long-term outcome of low-grade hemispheric gliomas. J Clin Oncol 2008; 26 (08) 1338-1345
- 9 Stummer W, Reulen HJ, Meinel T. et al; ALA-Glioma Study Group. Extent of resection and survival in glioblastoma multiforme: identification of and adjustment for bias. Neurosurgery 2008; 62 (03) 564-576 , discussion 564–576
- 10 Sanai N, Berger MS. Glioma extent of resection and its impact on patient outcome. Neurosurgery 2008; 62 (04) 753-764 , discussion 264–266
- 11 Berger MS, Rostomily RC. Low grade gliomas: functional mapping resection strategies, extent of resection, and outcome. J Neurooncol 1997; 34 (01) 85-101
- 12 Talos IF, Zou KH, Ohno-Machado L. et al. Supratentorial low-grade glioma resectability: statistical predictive analysis based on anatomic MR features and tumor characteristics. Radiology 2006; 239 (02) 506-513
- 13 Field AS, Alexander AL, Wu YC, Hasan KM, Witwer B, Badie B. Diffusion tensor eigenvector directional color imaging patterns in the evaluation of cerebral white matter tracts altered by tumor. J Magn Reson Imaging 2004; 20 (04) 555-562
- 14 Castellano A, Bello L, Michelozzi C, Gallucci M, Fava E, Iadanza A, Riva M, Casaceli G, Falini A. Role of diffusion tensor magnetic resonance tractography in predicting the extent of resection in glioma surgery. Neuro Oncol 2012; 14 (02) 192-202
- 15 Khan KA, Jain SK, Sinha VD, Sinha J. Preoperative diffusion tensor imaging: a landmark modality for predicting the outcome and characterization of supratentorial intra-axial brain tumors. World Neurosurg 2019; 124: e540-e551
- 16 Kono K, Inoue Y, Nakayama K. et al. The role of diffusion-weighted imaging in patients with brain tumors. AJNR Am J Neuroradiol 2001; 22 (06) 1081-1088
- 17 Maesawa S, Fujii M, Nakahara N, Watanabe T, Wakabayashi T, Yoshida J. Intraoperative tractography and motor evoked potential (MEP) monitoring in surgery for gliomas around the corticospinal tract. World Neurosurg 2010; 74 (01) 153-161
- 18 Nimsky C, Ganslandt O, Hastreiter P. et al. Preoperative and intraoperative diffusion tensor imaging-based fiber tracking in glioma surgery. Neurosurgery 2005; 56 (01) 130-137 , discussion 138

















