Preoperative personalized 3D printing technology enhanced glioblastoma patient survival by improving fractal dimensions of wound surface

Motivation: This study sought to forecast the prognosis of glioblastoma patients by conducting a retrospective analysis of their fractal dimensions (FD) from postoperative multimodal MRI and radiomics features within surgical regions. Additionally, it aimed to assess the potential for improving clinical therapeutic outcomes using preoperative personalized three dimensional (3D)-printing technology. Goal(s): Exploring whether personalised 3D-printing technology can improve surgical precision and thus prolong survival in glioblastoma patientsApproach: Using questionnaires, radiomics, and FD to evaluate whether preoperative 3D-printing technology improves postoperative outcomes and survivalResults: The FD of surgical regions was associated with overall survival, and preoperative 3D-printing improves patient prognosis and prolongs survivalImpact: Multimodal magnetic resonance imaging radiomics and fractal dimension can predict patient survival by analyzing postoperative images, while personalized 3D printing technology can improve surgical accuracy, reduce the fractal dimension of the surgical regional, and prolong the overall survival of patients

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0510
Primary Topic
Anatomy and Medical Technology
Type
article
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article

Preoperative personalized 3D printing technology enhanced glioblastoma patient survival by improving fractal dimensions of wound surface

Xi Huang, J. M. Zhou
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Anatomy and Medical Technology
article

Preoperative personalized 3D printing technology enhanced glioblastoma patient survival by improving fractal dimensions of wound surface

Xi Huang, J. M. Zhou
article en

Abstract

Motivation: This study sought to forecast the prognosis of glioblastoma patients by conducting a retrospective analysis of their fractal dimensions (FD) from postoperative multimodal MRI and radiomics features within surgical regions. Additionally, it aimed to assess the potential for improving clinical therapeutic outcomes using preoperative personalized three dimensional (3D)-printing technology. Goal(s): Exploring whether personalised 3D-printing technology can improve surgical precision and thus prolong survival in glioblastoma patientsApproach: Using questionnaires, radiomics, and FD to evaluate whether preoperative 3D-printing technology improves postoperative outcomes and survivalResults: The FD of surgical regions was associated with overall survival, and preoperative 3D-printing improves patient prognosis and prolongs survivalImpact: Multimodal magnetic resonance imaging radiomics and fractal dimension can predict patient survival by analyzing postoperative images, while personalized 3D printing technology can improve surgical accuracy, reduce the fractal dimension of the surgical regional, and prolong the overall survival of patients

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 80%
Anatomy and Medical Technology
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Preoperative personalized 3D printing technology enhanced glioblastoma patient survival by improving fractal dimensions of wound surface — Xi Huang, J. M. Zhou · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS