Twin-S: a digital twin for skull base surgery

Shu, Hongchao; Liang, Ruixing; Li, Zhaoshuo; Goodridge, Anna; Zhang, Xiangyu; Ding, Hao; Nagururu, Nimesh V.; Sahu, Manish; Creighton, Francis X.; Taylor, Russell H.; Munawar, Adnan; Unberath, Mathias

doi:10.1007/s11548-023-02863-9

Cited by 19 publications

(5 citation statements)

References 32 publications

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“…Digital twins were the virtual counterparts of the entity measures, which witnessed the status of a physical object much earlier for further optimization. 84 , 85 The application of digital twins could simulate the TEFT and provide the prediction of TEFT efficacy. According to the predictive data, we could adjust the parameters of TEFT equipment, such as the position of electrodes, voltage, and current.…”

Section: The Prospectively Innovative Application Of Teft ...mentioning

confidence: 99%

Advanced tumor electric fields therapy: A review of innovative research and development and prospect of application in glioblastoma

Lan,

Liu,

Chen

et al. 2024

CNS Neurosci Ther

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BackgroundGlioblastoma multiforme (GBM) is an aggressive malignant tumor with a high mortality rate and is the most prevalent primary intracranial tumor that remains incurable. The current standard treatment, which involves surgery along with concurrent radiotherapy and chemotherapy, only yields a survival time of 14–16 months. However, the introduction of tumor electric fields therapy (TEFT) has provided a glimmer of hope for patients with newly diagnosed and recurrent GBM, as it has been shown to extend the median survival time to 20 months. The combination of TEFT and other advanced therapies is a promising trend in the field of GBM, facilitated by advancements in medical technology.AimsIn this review, we provide a concise overview of the mechanism and efficacy of TEFT. In addition, we mainly discussed the innovation of TEFT and our proposed blueprint for TEFT implementation.ConclusionTumor electric fields therapy is an effective and highly promising treatment modality for GBM. The full therapeutic potential of TEFT can be exploited by combined with other innovative technologies and treatments.

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Section: The Prospectively Innovative Application Of Teft ...mentioning

confidence: 99%

Advanced tumor electric fields therapy: A review of innovative research and development and prospect of application in glioblastoma

Lan,

Liu,

Chen

et al. 2024

CNS Neurosci Ther

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“…[140]- [142], [193], [144], [113], [121], [122], [128], [129], [131], [147], [151], [154], [155], [160], [176], [101], [119], [124] Measurements as inputs 28 [97], [110], [171], [121], [133], [134], [156], [157], [162], [194], [195], [99], [106]- [108], [136], [153], [163], [167], [169], [174], [184], [185], [190], [196] [102], [116], [168], [169], [180] Probabilistic model updating 7 [98], [105], [111],…”

Section: Referencesmentioning

confidence: 99%

“…Process twinning in the context of medical procedures includes robotic surgery [104], [182], [185], trauma management [162], [200], vertebroplasty [179], arthroplasty [164], laparoscopic surgery [175], [184], dental surgery [122], transcatheter aortic valve replacement [133], throat cancer treatment [142], among others. With the aim of reducing the surgeon's required skill level and cognitive workload during surgery, the use of DT-based haptic assistance during surgical training was demonstrated [182].…”

Section: B: Process Twinningmentioning

confidence: 99%

A Systematic Literature Review of Digital Twin Research for Healthcare Systems: Research Trends, Gaps, and Realization Challenges

Xames,

Topcu

2024

IEEE Access

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Using the PRISMA approach, we present the first systematic literature review of digital twin (DT) research in healthcare systems (HSs). This endeavor stems from the pressing need for a thorough analysis of this emerging yet fragmented research area, with the goal of consolidating knowledge to catalyze its growth. Our findings are structured around three research questions aimed at identifying: (i) current research trends, (ii) gaps, and (iii) realization challenges. Current trends indicate global interest and interdisciplinary collaborations to address complex HS challenges. However, existing research predominantly focuses on conceptualization; research on integration, verification, and implementation is nascent. Additionally, we document that a substantial body of papers mislabel their work, often disregarding modeling and twinning methods that are necessary elements of a DT. Furthermore, we provide a non-exhaustive classification of the literature based on two axes: the object (i.e., product or process) and the context (i.e., patient's body, medical procedures, healthcare facilities, and public health). While this is a testament to the diversity of the field, it implies a specific pattern that could be reimagined. We also identify two gaps: (i) considering the human-in-the-loop nature of HSs with a focus on provider decision-making and (ii) implementation research. Lastly, we discuss two challenges for broad-scale implementation of DTs in HSs: improving virtual-to-physical connectivity and data-related issues. In conclusion, this study suggests that DT research could potentially help alleviate the acute shortcomings of HSs that are often manifested in the inability to concurrently improve the quality of care, provider wellbeing, and cost efficiency.

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“…About 22% of the studies belong to various other disease domains. In the musculoskeletal domain, DTs were used to improve skull surgery procedures 63 and fracture management 34,46 .…”

Section: Disease Applications Of Health Dtsmentioning

confidence: 99%

“…Nine real-world datasets (used by six studies) are publicly accessible (Table 1), with the remaining five studies using private data. Some studies use simulated data for testing the DT models across various disease and application domains, including cardiovascular 18,19,21,22 , type 1 diabetes 53 , vertebroplasty procedures 62 , and 3D skull structure 63 . While these simulated data are useful for developing and validating the DT models, they may fall short of creating comprehensive DTs that represent real-world patients and health care settings.…”

Section: Data Sourcesmentioning

confidence: 99%

Evolution of digital twins in precision health applications: a scoping review study

Bian,

Huang,

Dai

et al. 2024

Preprint

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An increasing amount of research is incorporating the concept of Digital twin (DT) in biomedical and health care applications. This scoping review aims to summarize existing research and identify gaps in the development and use of DTs in the health care domain. The focus of this study lies on summarizing: the different types of DTs, the techniques employed in DT development, the DT applications in health care, and the data resources used for creating DTs. We identified fifty studies, which mainly focused on creating organ- (n=15) and patient-specific twins (n=30). The research predominantly centers on cardiology, endocrinology, orthopedics, and infectious diseases. Only a few studies used real-world datasets for developing their DTs. However, there remain unresolved questions and promising directions that require further exploration. This review provides valuable reference material and insights for researchers on DTs in health care and highlights gaps and unmet needs in this field.

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Twin-S: a digital twin for skull base surgery

Cited by 19 publications

References 32 publications

Advanced tumor electric fields therapy: A review of innovative research and development and prospect of application in glioblastoma

Advanced tumor electric fields therapy: A review of innovative research and development and prospect of application in glioblastoma

A Systematic Literature Review of Digital Twin Research for Healthcare Systems: Research Trends, Gaps, and Realization Challenges

Evolution of digital twins in precision health applications: a scoping review study

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