Scholarlink

Accurate assessment of kidney volume is critical for monitoring progression in Autosomal Dominant Polycystic Kidney Disease (ADPKD). NEFROVOL, a software tool that reconstructs three-dimensional renal models from parallel 2D ultrasound slices, offers a low-cost and non-invasive alternative to MRI and CT volumetry but relies on time-consuming manual segmentation. This study evaluates the integration of NEFROVOL into 3D Slicer, an open-source platform with advanced segmentation, visualization, and export capabilities. A narrative review of methodologies and potential synergies is presented, proposing a workflow encompassing DICOM import, contour refinement, volume calculation, clinical reporting, and STL export for 3D printing. The integration aims to reduce operator workload, improve segmentation accuracy, and enhance clinical reporting. Future validation studies are recommended to quantify performance gains.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Updating NEFROVOL with 3D Slicer for Polycystic Kidney Volume Determination and 3D Reconstruction

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Natalia Suarez,
  • Gabriel Maassardjian,
  • Oscar Noboa,
  • Franco Simini

摘要

Accurate assessment of kidney volume is critical for monitoring progression in Autosomal Dominant Polycystic Kidney Disease (ADPKD). NEFROVOL, a software tool that reconstructs three-dimensional renal models from parallel 2D ultrasound slices, offers a low-cost and non-invasive alternative to MRI and CT volumetry but relies on time-consuming manual segmentation. This study evaluates the integration of NEFROVOL into 3D Slicer, an open-source platform with advanced segmentation, visualization, and export capabilities. A narrative review of methodologies and potential synergies is presented, proposing a workflow encompassing DICOM import, contour refinement, volume calculation, clinical reporting, and STL export for 3D printing. The integration aims to reduce operator workload, improve segmentation accuracy, and enhance clinical reporting. Future validation studies are recommended to quantify performance gains.