# Automated Definition of Skeletal Disease Burden in Metastatic Prostate   Carcinoma: a 3D analysis of SPECT/CT images

**Authors:** Francesco Fiz, Helmut Dittmann, Cristina Campi, Matthias Weissinger,, Samine Sahbai, Matthias Reimold, Arnulf Stenzl, Michele Piana, Gianmario, Sambuceti, Christian la Foug\`ere

arXiv: 1906.08200 · 2019-06-20

## TL;DR

This study introduces a novel adaptive bone segmentation method for quantifying skeletal tumor burden in metastatic prostate cancer using SPECT/CT images, correlating well with existing estimates and clinical outcomes.

## Contribution

The paper presents a new automated 3D analysis approach for skeletal disease burden estimation in prostate cancer, improving accuracy and clinical relevance over existing methods.

## Key findings

- Segmentation-based tumor load correlates with radiological and laboratory indices.
- Lower radionuclide uptake in progressive disease suggests reduced therapy benefit.
- Automated software shows high correlation with commercial tools and manual assessments.

## Abstract

To meet the current need for skeletal tumor-load estimation in prostate cancer (mCRPC), we developed a novel approach, based on adaptive bone segmentation. In this study, we compared the program output with existing estimates and with the radiological outcome. Seventy-six whole-body 99mTc-DPD-SPECT/CT from mCRPC patients were analyzed. The software identified the whole skeletal volume (SVol) and classified it voxels metastases (MVol) or normal bone (BVol). SVol was compared with the estimation of a commercial software. MVol was compared with manual assessment and with PSA-level. Counts/voxel were extracted from MVol and BVol. After six cycles of 223RaCl2-therapy every patient was re-evaluated as progressing (PD), stabilized (SD) or responsive (PR). SVol correlated with the one of the commercial software (R=0,99, p<0,001). MVol correlated with manually-counted lesions (R=0,61, p<0,001) and PSA (R=0,46, p<0.01). PD had a lower counts/voxel in MVol than PR/SD (715 \pm 190 Vs. 975 \pm 215 and 1058 \pm 255, p<0,05 and p<0,01) and in BVol (PD 275 \pm 60, PR 515 \pm 188 and SD 528 \pm 162 counts/voxel, p<0,001). Segmentation-based tumor load correlated with radiological/laboratory indices. Uptake was linked with the clinical outcome, suggesting that metastases in PD patients have a lower affinity for bone-seeking radionuclides and might benefit less from bone-targeted radioisotope therapies.

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Source: https://tomesphere.com/paper/1906.08200