Automated segmentation of the sacro-iliac joints, posterior spinal joints and discovertebral units on low-dose computed tomography for Na[

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Tác giả: Ronald Boellaard, Tom C Doorschodt, Robert Hemke, Wouter R P van der Heijden, Conny J van der Laken, Floris H P van Velden, Gerben J C Zwezerijnen

Ngôn ngữ: eng

Ký hiệu phân loại: 551.84 Joints and cleavages

Thông tin xuất bản: Germany : EJNMMI physics , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 693600

 PURPOSE: Spondyloarthritis (SpA) is a chronic inflammatory rheumatic disease which involves the axial skeleton. Quantitative sodium fluoride-18 (Na[ METHODS: Two segmentation methods were developed using Na[ RESULTS: The morphological method achieved significantly better DSC (0.82 (0.73-0.88) vs. 0.74 (0.68-0.79)
  p <
  0.001) for all DVUs combined compared to the atlas-based method. The atlas-based method outperformed the morphological method for the posterior joints with a median error distance of 4.00 mm (4.00-5.66) vs. 5.66 mm (4.00-8.00) (p <
  0.001). For lesion detection, the atlas-based segmentations were more successful than the morphological method, with the most accurate metric being the maximum standardized uptake value (SUVmax) of the lesional Na[ CONCLUSION: We present the first methods for detailed automatic segmentation of the posterior spinal joints, DVUs and SIJs on LDCT. The atlas-based method is the most appropriate, reaching high segmentation performance and lesion detection accuracy. More research on the PET-based lesion segmentation is required, to develop a pipeline for fully automated lesional Na[
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