Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images
To meet the current need for skeletal tumor-load estimation in castration-resistant prostate cancer (CRPC), 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-bo...
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doaj-377c9ce6f4074604b25196aefa288dd32020-11-24T23:53:28ZengMDPI AGCancers2072-66942019-06-0111686910.3390/cancers11060869cancers11060869Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT ImagesFrancesco Fiz0Helmut Dittmann1Cristina Campi2Matthias Weissinger3Samine Sahbai4Matthias Reimold5Arnulf Stenzl6Michele Piana7Gianmario Sambuceti8Christian la Fougère9Department of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, GermanyDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, GermanyDepartment of Medicine-DIMED, Nuclear Medicine Unit, University Hospital of Padua, 35128 Padua, ItalyDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, GermanyNuclear Medicine Unit, Hospital Universitaire Henri Mondor, 94010 Créteil, FranceDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, GermanyDepartment of Urology, University Hospital Tübingen, 72076 Tübingen, GermanyDepartment of Mathematics, University of Genoa, 16146 Genoa, ItalyDepartment of Health Sciences, Nuclear Medicine Unit, University of Genoa, 16146 Genoa, ItalyDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, GermanyTo meet the current need for skeletal tumor-load estimation in castration-resistant prostate cancer (CRPC), 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 single-photon emission computed tomographies/x-ray computed tomography with 3,3-diphosphono-1,2-propanedicarboxylic acid from mCRPC patients were analyzed. The software identified the whole skeletal volume (S<sub>Vol</sub>) and classified the voxels metastases (M<sub>Vol</sub>) or normal bone (B<sub>Vol</sub>). S<sub>Vol</sub> was compared with the estimation of a commercial software. M<sub>Vol</sub> was compared with manual assessment and with prostate specific antigen (PSA) levels. Counts/voxel were extracted from M<sub>Vol</sub> and B<sub>Vol</sub>. After six cycles of <sup>223</sup>RaCl2-therapy every patient was re-evaluated as having progressive disease (PD), stable disease (SD), or a partial response (PR). S<sub>Vol</sub> correlated with that of the commercial software (R = 0.99, <i>p</i> < 0.001). M<sub>Vol</sub> correlated with the manually-counted lesions (R = 0.61, <i>p</i> < 0.001) and PSA (R = 0.46, <i>p</i> < 0.01). PD had a lower counts/voxel in M<sub>Vol</sub> than PR/SD (715 ± 190 vs. 975 ± 215 and 1058 ± 255, <i>p</i> < 0.05 and <i>p</i> < 0.01) and B<sub>Vol</sub> (PD 275 ± 60, PR 515 ± 188 and SD 528 ± 162 counts/voxel, <i>p</i> < 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.https://www.mdpi.com/2072-6694/11/6/869mCRPCSPECT/CTComputer-assisted diagnosisXOFIGOTherapy response assessment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Francesco Fiz Helmut Dittmann Cristina Campi Matthias Weissinger Samine Sahbai Matthias Reimold Arnulf Stenzl Michele Piana Gianmario Sambuceti Christian la Fougère |
spellingShingle |
Francesco Fiz Helmut Dittmann Cristina Campi Matthias Weissinger Samine Sahbai Matthias Reimold Arnulf Stenzl Michele Piana Gianmario Sambuceti Christian la Fougère Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images Cancers mCRPC SPECT/CT Computer-assisted diagnosis XOFIGO Therapy response assessment |
author_facet |
Francesco Fiz Helmut Dittmann Cristina Campi Matthias Weissinger Samine Sahbai Matthias Reimold Arnulf Stenzl Michele Piana Gianmario Sambuceti Christian la Fougère |
author_sort |
Francesco Fiz |
title |
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images |
title_short |
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images |
title_full |
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images |
title_fullStr |
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images |
title_full_unstemmed |
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images |
title_sort |
automated definition of skeletal disease burden in metastatic prostate carcinoma: a 3d analysis of spect/ct images |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2019-06-01 |
description |
To meet the current need for skeletal tumor-load estimation in castration-resistant prostate cancer (CRPC), 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 single-photon emission computed tomographies/x-ray computed tomography with 3,3-diphosphono-1,2-propanedicarboxylic acid from mCRPC patients were analyzed. The software identified the whole skeletal volume (S<sub>Vol</sub>) and classified the voxels metastases (M<sub>Vol</sub>) or normal bone (B<sub>Vol</sub>). S<sub>Vol</sub> was compared with the estimation of a commercial software. M<sub>Vol</sub> was compared with manual assessment and with prostate specific antigen (PSA) levels. Counts/voxel were extracted from M<sub>Vol</sub> and B<sub>Vol</sub>. After six cycles of <sup>223</sup>RaCl2-therapy every patient was re-evaluated as having progressive disease (PD), stable disease (SD), or a partial response (PR). S<sub>Vol</sub> correlated with that of the commercial software (R = 0.99, <i>p</i> < 0.001). M<sub>Vol</sub> correlated with the manually-counted lesions (R = 0.61, <i>p</i> < 0.001) and PSA (R = 0.46, <i>p</i> < 0.01). PD had a lower counts/voxel in M<sub>Vol</sub> than PR/SD (715 ± 190 vs. 975 ± 215 and 1058 ± 255, <i>p</i> < 0.05 and <i>p</i> < 0.01) and B<sub>Vol</sub> (PD 275 ± 60, PR 515 ± 188 and SD 528 ± 162 counts/voxel, <i>p</i> < 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. |
topic |
mCRPC SPECT/CT Computer-assisted diagnosis XOFIGO Therapy response assessment |
url |
https://www.mdpi.com/2072-6694/11/6/869 |
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