Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planning

Sullivan, Jared  J.; Zekelman, Leo; Zhang, Fan; Juvekar, Parikshit; Torio, Erickson; Bunevičius, Adomas; Essayed, Walid Ibn; Bastos, Dhiego Chaves de Almeida; He, Jianzhong; Rigolo, Laura; Golby, Alexandra J.; O’Donnell, Lauren J.

doi:10.1016/j.nicl.2023.103412

Cited by 3 publications

(5 citation statements)

References 55 publications

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“…Also, in a recent report, 5 neurosurgeons scored the effectiveness of TDI and traditional color-coded FA maps on items such as the identification of white matter tracts near the tumor, the establishment of tumor resection margins, and the determination of the planned surgical route. The color-coded TDI map scored significantly higher than the traditional color-coded FA map for both questions, with the largest effect size being in the score for establishing target resection margins 38 …”

Section: Diffusion Mri Tractographymentioning

confidence: 83%

“…This preference was driven by the visualization of clinically relevant tracts in the peritumoral region; that is, areas of T1/T2 signal change, as demonstrated by the DEC-FA map. Adapted with permission from Sullivan et al 38 …”

Section: Diffusion Mri Tractographymentioning

confidence: 99%

“…8). Other useful tracking techniques that have been proposed for neurosurgical preoperative planning include TDI for better visualization of peritumoral white matter tracts 38 and bicompartment free water modeling algorithms for improved peritumoral edema tracking 55 . Incorporating these advanced pieces of technology into navigation software programs can enhance postoperative outcomes.…”

Section: Diffusion Mri Tractographymentioning

confidence: 99%

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Advancements in Diffusion MRI Tractography for Neurosurgery

Kamagata,

Andica,

Uchida

et al. 2023

Invest Radiol

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Diffusion magnetic resonance imaging tractography is a noninvasive technique that enables the visualization and quantification of white matter tracts within the brain. It is extensively used in preoperative planning for brain tumors, epilepsy, and functional neurosurgical procedures such as deep brain stimulation. Over the past 25 years, significant advancements have been made in imaging acquisition, fiber direction estimation, and tracking methods, resulting in considerable improvements in tractography accuracy. The technique enables the mapping of functionally critical pathways around surgical sites to avoid permanent functional disability. When the limitations are adequately acknowledged and considered, tractography can serve as a valuable tool to safeguard critical white matter tracts and provides insight regarding changes in normal white matter and structural connectivity of the whole brain beyond local lesions. In functional neurosurgical procedures such as deep brain stimulation, it plays a significant role in optimizing stimulation sites and parameters to maximize therapeutic efficacy and can be used as a direct target for therapy. These insights can aid in patient risk stratification and prognosis. This article aims to discuss state-of-the-art tractography methodologies and their applications in preoperative planning and highlight the challenges and new prospects for the use of tractography in daily clinical practice.

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Section: Diffusion Mri Tractographymentioning

confidence: 83%

Section: Diffusion Mri Tractographymentioning

confidence: 99%

Section: Diffusion Mri Tractographymentioning

confidence: 99%

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Advancements in Diffusion MRI Tractography for Neurosurgery

Kamagata,

Andica,

Uchida

et al. 2023

Invest Radiol

View full text Add to dashboard Cite

show abstract

“…Crucially, network neuroscience studies might rely on these artificial disconnections to report structural disconnections without truly assessing whether they are indeed present or introduced 3 , 19 . Furthermore, the deletion of important fiber tracks could have detrimental effects on surgical planning given the evermore common use of tractography in pre-operative settings 41 , needing personalized models that consider microstructural properties of the tumors for more accurate tracking alternatives 12 .…”

Section: Discussionmentioning

confidence: 99%

“…As such, all statistical results should be interpreted with extreme caution. Nonetheless, small sample sizes are found very often in studies dealing with patients with brain tumors 1 – 5 , 41 possibly due to current standardized protocols disregarding pre-surgery functional acquisitions, rather simple diffusion sequences and the lack of multi-site initiatives 60 – 62 . Also, carefully designed metrics can pinpoint existing phenomena, as is often seen in medical case studies.…”

Section: Discussionmentioning

confidence: 99%

Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations

Falcó-Roget,

Cacciola,

Sambataro

et al. 2024

Commun Biol

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Neuroimaging studies have allowed for non-invasive mapping of brain networks in brain tumors. Although tumor core and edema are easily identifiable using standard MRI acquisitions, imaging studies often neglect signals, structures, and functions within their presence. Therefore, both functional and diffusion signals, as well as their relationship with global patterns of connectivity reorganization, are poorly understood. Here, we explore the functional activity and the structure of white matter fibers considering the contribution of the whole tumor in a surgical context. First, we find intertwined alterations in the frequency domain of local and spatially distributed resting-state functional signals, potentially arising within the tumor. Second, we propose a fiber tracking pipeline capable of using anatomical information while still reconstructing bundles in tumoral and peritumoral tissue. Finally, using machine learning and healthy anatomical information, we predict structural rearrangement after surgery given the preoperative brain network. The generative model also disentangles complex patterns of connectivity reorganization for different types of tumors. Overall, we show the importance of carefully designing studies including MR signals within damaged brain tissues, as they exhibit and relate to non-trivial patterns of both structural and functional (dis-)connections or activity.

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Color Maps: Facilitating the Clinical Impact of Quantitative MRI

Sollmann,

Fuderer,

Crameri

et al. 2024

Magnetic Resonance Imaging

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Presenting quantitative data using non‐standardized color maps potentially results in unrecognized misinterpretation of data. Clinically meaningful color maps should intuitively and inclusively represent data without misleading interpretation. Uniformity of the color gradient for color maps is critically important. Maximal color and lightness contrast, readability for color vision‐impaired individuals, and recognizability of the color scheme are highly desirable features. This article describes the use of color maps in five key quantitative MRI techniques: relaxometry, diffusion‐weighted imaging (DWI), dynamic contrast‐enhanced (DCE)‐MRI, MR elastography (MRE), and water‐fat MRI. Current display practice of color maps is reviewed and shortcomings against desirable features are highlighted.Evidence Level5Technical EfficacyStage 2

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Directionally encoded color track density imaging in brain tumor patients: A potential application to neuro-oncology surgical planning

Cited by 3 publications

References 55 publications

Advancements in Diffusion MRI Tractography for Neurosurgery

Advancements in Diffusion MRI Tractography for Neurosurgery

Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations

Color Maps: Facilitating the Clinical Impact of Quantitative MRI

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