Intraoperative thermal infrared imaging in neurosurgery: machine learning approaches for advanced segmentation of tumors

Cardone, Daniela; Trevisi, Gianluca; Perpetuini, David; Filippini, Chiara; Mangiola, Annunziato

doi:10.1007/s13246-023-01222-x

Cited by 7 publications

(4 citation statements)

References 36 publications

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“…Therefore, tumors producing excessive amounts of FAs in their microenvironment are expected to be cooler. For example, lipomatous glioma brain tumors tend to be hypothermic or lower in temperature than the surrounding healthy tissues [ 26 ]. Some reports suggested treating glioma tumors with hypothermia [ 27 ]; however, an opposite trend is making headway to treat malignant glioma using hyperthermia [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

Excessive Lipid Production Shapes Glioma Tumor Microenvironment

Maraqah,

Aboubechara,

Abu-Asab

et al. 2023

Preprint

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Disrupted lipid metabolism is a characteristic of gliomas. This study utilizes an ultrastructural approach to characterize the prevalence and distribution of lipids within gliomas. This study made use of tissue from IDH1 wild type (IDH1-wt) glioblastoma (n = 18) and IDH1 mutant (IDH1-mt) astrocytoma (n = 12) tumors. We uncover a prevalent and intriguing surplus of lipids. The bulk of the lipids manifested as sizable cytoplasmic inclusions and extracellular deposits in the tumor microenvironment (TME); in some tumors the lipids were stored in the classical membraneless spheroidal lipid droplets (LDs). Frequently, lipids accumulated inside mitochondria, suggesting possible dysfunction of the beta-oxidation pathway. Additionally, the tumor vasculature have lipid deposits in their lumen and vessel walls; this lipid could have shifted in from the tumor microenvironment or have been produced by the vessel-invading tumor cells. Lipid excess in gliomas stems from disrupted beta-oxidation and dysfunctional oxidative phosphorylation pathways. The implications of this lipid-driven environment include structural support for the tumor cells and protection against immune responses, non-lipophilic drugs, and free radicals.

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Section: Discussionmentioning

confidence: 99%

Excessive Lipid Production Shapes Glioma Tumor Microenvironment

Maraqah,

Aboubechara,

Abu-Asab

et al. 2023

Preprint

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“…The capability of these systems to refine the delineation of tumor and healthy tissues is pivotal to the success of tumor diagnostics and surgical resections, promising enhancements in both surgical precision and patient outcomes [128,137]. An exemplar of this synergy is the integration of AI with FGS, a vital technology in differentiating tumor tissue during brain tumor surgery [137,138]. Multiple studies illustrated the utility of AI for real-time intraoperative cytological diagnosis of CNS tumors and training a deep learning model on a variety of brain lesions [127,128,136].…”

Section: Conventional Imaging Techniques For Intraoperative Tumor Res...mentioning

confidence: 99%

Intraoperative Imaging and Optical Visualization Techniques for Brain Tumor Resection: A Narrative Review

Bin-Alamer,

Abou-Al-Shaar,

Gersey

et al. 2023

Cancers

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Advancements in intraoperative visualization and imaging techniques are increasingly central to the success and safety of brain tumor surgery, leading to transformative improvements in patient outcomes. This comprehensive review intricately describes the evolution of conventional and emerging technologies for intraoperative imaging, encompassing the surgical microscope, exoscope, Raman spectroscopy, confocal microscopy, fluorescence-guided surgery, intraoperative ultrasound, magnetic resonance imaging, and computed tomography. We detail how each of these imaging modalities contributes uniquely to the precision, safety, and efficacy of neurosurgical procedures. Despite their substantial benefits, these technologies share common challenges, including difficulties in image interpretation and steep learning curves. Looking forward, innovations in this field are poised to incorporate artificial intelligence, integrated multimodal imaging approaches, and augmented and virtual reality technologies. This rapidly evolving landscape represents fertile ground for future research and technological development, aiming to further elevate surgical precision, safety, and, most critically, patient outcomes in the management of brain tumors.

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“…The analysis reported an average precision of 90.45%, with a sensitivity and specificity of 84.64% and 93.49%, respectively. [ 4 ]…”

Section: Introductionmentioning

confidence: 99%

Thermosensitive/thermochromic silicone and infrared thermography mapping in 60 consecutive cases of epilepsy surgery

Font-Réaulx,

Solis-Santamaria,

Arch-Tirado

et al. 2024

Surgical Neurology International

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Background: Epilepsy surgery represents a therapeutic opportunity for those patients who do not respond to drug therapy. However, an important challenge is the precise identification of the epileptogenic area during surgery. Since it can be hard to delineate, it makes it necessary to use auxiliary tools as a guide during the surgical procedure. Electrocorticography (ECoG), despite having shown favorable results in terms of reducing post-surgical seizures, have certain limitations. Brain mapping using infrared thermography mapping and a new thermosensitive/thermochromic silicone (TTS) in epilepsy surgery has introduced a new resource of noninvasive and real-time devices that allow the localization of irritative zones. Methods: Sixty consecutive patients with drug-resistant epilepsy with surgical indications who decided to participate voluntarily in the study were included in the study. We measured brain temperature using two quantitative methods and a qualitative method: the TTS sheet. In all cases, we used ECoG as the gold standard to identify irritative areas, and all brain tissue samples obtained were sent to pathology for diagnosis. Results: In the subgroup in which the ECoG detected irritative areas (n = 51), adding the results in which there was a correlation with the different methods, the efficiency obtained to detect irritative areas is 94.11% (n = 48/51, P ≤ 0.0001) while the infrared thermography mapping method independently has an efficiency of 91.66% (P ≤ 0.0001). The TTS has a sensitivity of 95.71% and a specificity of 97.9% (P ≤ 0.0001) to detect hypothermic areas that correlate with the irritative zones detected by ECoG. No postoperative infections or wound dehiscence were documented, so the different methodologies used do not represent an additional risk for the surgical proceedings. Conclusion: We consider that the infrared thermography mapping using high-resolution infrared thermography cameras and the TTS are both accurate and safe methods to identify irritative areas in epilepsy surgeries.

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Intraoperative thermal infrared imaging in neurosurgery: machine learning approaches for advanced segmentation of tumors

Cited by 7 publications

References 36 publications

Excessive Lipid Production Shapes Glioma Tumor Microenvironment

Excessive Lipid Production Shapes Glioma Tumor Microenvironment

Intraoperative Imaging and Optical Visualization Techniques for Brain Tumor Resection: A Narrative Review

Thermosensitive/thermochromic silicone and infrared thermography mapping in 60 consecutive cases of epilepsy surgery

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