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Multi-modal 3-Dimensional Visualization of Pediatric Neuroblastoma: Aiding Surgical Planning Beyond Anatomical Information
Journal of Pediatric Surgery ( IF 2.4 ) Pub Date : 2024-02-24 , DOI: 10.1016/j.jpedsurg.2024.02.025
Dominique C. Simons , Myrthe A.D. Buser , Matthijs Fitski , Cornelis P. van de Ven , Bernhard ten Haken , Marc H.W.A. Wijnen , Can Ozan Tan , Alida F.W. van der Steeg

Patient-specific 3D models of neuroblastoma and relevant anatomy are useful tools for surgical planning. However, these models do not represent the heterogenous biology of neuroblastoma. This heterogeneity is visualized with the ADC and I-MIGB-SPECT-CT imaging. Combining these multi-modal data into preoperative 3D heatmaps, may allow differentiation of the areas of vital and non-vital tumor tissue. We developed a workflow to create multi-modal preoperative 3D models for neuroblastoma surgery. We included 7 patients who underwent neuroblastoma surgery between 2022 and 2023. We developed 3D models based on the contrast enhanced T1-weighted MRI scans. Subsequently, we aligned the corresponding ADC and I-MIBG-SPECT-CT images using rigid transformation. We estimated registration precision using the Dice score and the target registration error (TRE). 3D heatmaps were computed based on ADC and I-MIBG uptake. The registration algorithm had a median Dice score of 0.81 (0.75–0.90) for ADC and 0.77 (0.65–0.91) for I-MIBG-SPECT. For the ADC registration, the median TRE of renal vessels was 4.90 mm (0.86–10.18) and of the aorta 4.67 mm (1.59–12.20). For the I -MIBG-SPECT imaging the TRE of the renal vessels was 5.52 mm (1.71–10.97) and 5.28 mm (3.33–16.77) for the aorta. We successfully developed a registration workflow to create multi-modal 3D models which allows the surgeon to visualize the tumor and its biological behavior in relation to the surrounding tissue. Future research will include linking of pathological results to imaging data, to validate these multi-modal 3D models. Level IV. Clinical Research.

中文翻译:

小儿神经母细胞瘤的多模态 3 维可视化:在解剖信息之外帮助制定手术计划

患者特定的神经母细胞瘤 3D 模型和相关解剖结构是手术规划的有用工具。然而,这些模型并不代表神经母细胞瘤的异质生物学。这种异质性通过 ADC 和 I-MIGB-SPECT-CT 成像进行可视化。将这些多模态数据组合成术前 3D 热图,可以区分重要和非重要肿瘤组织的区域。我们开发了一个工作流程来创建神经母细胞瘤手术的多模式术前 3D 模型。我们纳入了 7 名在 2022 年至 2023 年间接受神经母细胞瘤手术的患者。我们根据对比增强 T1 加权 MRI 扫描开发了 3D 模型。随后,我们使用刚性变换对齐相应的 ADC 和 I-MIBG-SPECT-CT 图像。我们使用 Dice 分数和目标配准误差 (TRE) 来估计配准精度。3D 热图是根据 ADC 和 I-MIBG 摄取计算的。配准算法的 ADC 平均 Dice 分数为 0.81 (0.75–0.90),I-MIBG-SPECT 平均分数为 0.77 (0.65–0.91)。对于 ADC 登记,肾血管的中位 TRE 为 4.90 mm (0.86–10.18),主动脉的中位 TRE 为 4.67 mm (1.59–12.20)。对于 I-MIBG-SPECT 成像,肾血管的 TRE 为 5.52 mm (1.71–10.97),主动脉的 TRE 为 5.28 mm (3.33–16.77)。我们成功开发了一个配准工作流程来创建多模态 3D 模型,使外科医生能够可视化肿瘤及其与周围组织相关的生物学行为。未来的研究将包括将病理结果与成像数据联系起来,以验证这些多模态 3D 模型。四级。临床研究。
更新日期:2024-02-24
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