Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planning
Background: Diffusion magnetic resonance imaging white matter tractography, an increasingly popular preoperative planning modality used for pre-surgical planning in brain tumor patients, is employed with the goal of maximizing tumor resection while sparing postoperative neurological function. Clinic...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | NeuroImage: Clinical |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158223001018 |
| _version_ | 1827925785068961792 |
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| author | Jared J. Sullivan Leo R. Zekelman Fan Zhang Parikshit Juvekar Erickson F. Torio Adomas Bunevicius Walid I. Essayed Dhiego Bastos Jianzhong He Laura Rigolo Alexandra J. Golby Lauren J. O'Donnell |
| author_facet | Jared J. Sullivan Leo R. Zekelman Fan Zhang Parikshit Juvekar Erickson F. Torio Adomas Bunevicius Walid I. Essayed Dhiego Bastos Jianzhong He Laura Rigolo Alexandra J. Golby Lauren J. O'Donnell |
| author_sort | Jared J. Sullivan |
| collection | DOAJ |
| description | Background: Diffusion magnetic resonance imaging white matter tractography, an increasingly popular preoperative planning modality used for pre-surgical planning in brain tumor patients, is employed with the goal of maximizing tumor resection while sparing postoperative neurological function. Clinical translation of white matter tractography has been limited by several shortcomings of standard diffusion tensor imaging (DTI), including poor modeling of fibers crossing through regions of peritumoral edema and low spatial resolution for typical clinical diffusion MRI (dMRI) sequences. Track density imaging (TDI) is a post-tractography technique that uses the number of tractography streamlines and their long-range continuity to map the white matter connections of the brain with enhanced image resolution relative to the acquired dMRI data, potentially offering improved white matter visualization in patients with brain tumors. The aim of this study was to assess the utility of TDI-based white matter maps in a neurosurgical planning context compared to the current clinical standard of DTI-based white matter maps. Methods: Fourteen consecutive brain tumor patients from a single institution were retrospectively selected for the study. Each patient underwent 3-Tesla dMRI scanning with 30 gradient directions and a b-value of 1000 s/mm2. For each patient, two directionally encoded color (DEC) maps were produced as follows. DTI-based DEC-fractional anisotropy maps (DEC-FA) were generated on the scanner, while DEC-track density images (DEC-TDI) were generated using constrained spherical deconvolution based tractography. The potential clinical utility of each map was assessed by five practicing neurosurgeons, who rated the maps according to four clinical utility statements regarding different clinical aspects of pre-surgical planning. The neurosurgeons rated each map according to their agreement with four clinical utility statements regarding if the map 1 identified clinically relevant tracts, (2) helped establish a goal resection margin, (3) influenced a planned surgical route, and (4) was useful overall. Cumulative link mixed effect modeling and analysis of variance were performed to test the primary effect of map type (DEC-TDI vs. DEC-FA) on rater score. Pairwise comparisons using estimated marginal means were then calculated to determine the magnitude and directionality of differences in rater scores by map type. Results: A majority of rater responses agreed with the four clinical utility statements, indicating that neurosurgeons found both DEC maps to be useful. Across all four investigated clinical utility statements, the DEC map type significantly influenced rater score. Rater scores were significantly higher for DEC-TDI maps compared to DEC-FA maps. The largest effect size in rater scores in favor of DEC-TDI maps was observed for clinical utility statement 2, which assessed establishing a goal resection margin. Conclusion: We observed a significant neurosurgeon preference for DEC-TDI maps, indicating their potential utility for neurosurgical planning. |
| first_indexed | 2024-03-13T05:28:09Z |
| format | Article |
| id | doaj.art-1c9d6aec436749da879c30f078ac62b3 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-03-13T05:28:09Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-1c9d6aec436749da879c30f078ac62b32023-06-15T04:55:54ZengElsevierNeuroImage: Clinical2213-15822023-01-0138103412Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planningJared J. Sullivan0Leo R. Zekelman1Fan Zhang2Parikshit Juvekar3Erickson F. Torio4Adomas Bunevicius5Walid I. Essayed6Dhiego Bastos7Jianzhong He8Laura Rigolo9Alexandra J. Golby10Lauren J. O'Donnell11Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, United States; Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA 02115, United StatesDepartment of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA 02115, United StatesDepartment of Radiology, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, United StatesDepartment of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA 02115, United StatesDepartment of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA 02115, United StatesDepartment of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA 02115, United StatesDepartment of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA 02115, United StatesDepartment of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA 02115, United StatesDepartment of Radiology, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, United StatesDepartment of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA 02115, United StatesDepartment of Radiology, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, United States; Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA 02115, United StatesDepartment of Radiology, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, United States; Corresponding author at: 399 Revolution Drive, Suite 1180, Somerville, MA 02145, United States.Background: Diffusion magnetic resonance imaging white matter tractography, an increasingly popular preoperative planning modality used for pre-surgical planning in brain tumor patients, is employed with the goal of maximizing tumor resection while sparing postoperative neurological function. Clinical translation of white matter tractography has been limited by several shortcomings of standard diffusion tensor imaging (DTI), including poor modeling of fibers crossing through regions of peritumoral edema and low spatial resolution for typical clinical diffusion MRI (dMRI) sequences. Track density imaging (TDI) is a post-tractography technique that uses the number of tractography streamlines and their long-range continuity to map the white matter connections of the brain with enhanced image resolution relative to the acquired dMRI data, potentially offering improved white matter visualization in patients with brain tumors. The aim of this study was to assess the utility of TDI-based white matter maps in a neurosurgical planning context compared to the current clinical standard of DTI-based white matter maps. Methods: Fourteen consecutive brain tumor patients from a single institution were retrospectively selected for the study. Each patient underwent 3-Tesla dMRI scanning with 30 gradient directions and a b-value of 1000 s/mm2. For each patient, two directionally encoded color (DEC) maps were produced as follows. DTI-based DEC-fractional anisotropy maps (DEC-FA) were generated on the scanner, while DEC-track density images (DEC-TDI) were generated using constrained spherical deconvolution based tractography. The potential clinical utility of each map was assessed by five practicing neurosurgeons, who rated the maps according to four clinical utility statements regarding different clinical aspects of pre-surgical planning. The neurosurgeons rated each map according to their agreement with four clinical utility statements regarding if the map 1 identified clinically relevant tracts, (2) helped establish a goal resection margin, (3) influenced a planned surgical route, and (4) was useful overall. Cumulative link mixed effect modeling and analysis of variance were performed to test the primary effect of map type (DEC-TDI vs. DEC-FA) on rater score. Pairwise comparisons using estimated marginal means were then calculated to determine the magnitude and directionality of differences in rater scores by map type. Results: A majority of rater responses agreed with the four clinical utility statements, indicating that neurosurgeons found both DEC maps to be useful. Across all four investigated clinical utility statements, the DEC map type significantly influenced rater score. Rater scores were significantly higher for DEC-TDI maps compared to DEC-FA maps. The largest effect size in rater scores in favor of DEC-TDI maps was observed for clinical utility statement 2, which assessed establishing a goal resection margin. Conclusion: We observed a significant neurosurgeon preference for DEC-TDI maps, indicating their potential utility for neurosurgical planning.http://www.sciencedirect.com/science/article/pii/S2213158223001018Track density imagingDirectionally encoded color mapsBrain tumorNeurosurgical planning |
| spellingShingle | Jared J. Sullivan Leo R. Zekelman Fan Zhang Parikshit Juvekar Erickson F. Torio Adomas Bunevicius Walid I. Essayed Dhiego Bastos Jianzhong He Laura Rigolo Alexandra J. Golby Lauren J. O'Donnell Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planning NeuroImage: Clinical Track density imaging Directionally encoded color maps Brain tumor Neurosurgical planning |
| title | Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planning |
| title_full | Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planning |
| title_fullStr | Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planning |
| title_full_unstemmed | Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planning |
| title_short | Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planning |
| title_sort | directionally encoded color track density imaging in brain tumor patients a potential application to neuro oncology surgical planning |
| topic | Track density imaging Directionally encoded color maps Brain tumor Neurosurgical planning |
| url | http://www.sciencedirect.com/science/article/pii/S2213158223001018 |
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