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Rajadhas F, Imbert L, Fiorino M, Morizot C, Boucher V, Lamiral Z, Roch V, Marie PY, Loeuille D, Chary-Valckenaere I, Bahloul A. Standardized uptake value-based analysis of two-phase whole-body bone tomoscintigraphies recorded with a high-speed 360° CZT camera in patients with known or suspected inflammatory arthritis. Eur J Nucl Med Mol Imaging 2025:10.1007/s00259-025-07150-0. [PMID: 39969541 DOI: 10.1007/s00259-025-07150-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2025] [Accepted: 02/10/2025] [Indexed: 02/20/2025]
Abstract
PURPOSE 360° CZT-cameras provide whole-body bone SPECT/CT recordings at delayed (DEL) and blood-pool (BP) phases with short recording times but long visual analysis times. This study aims to determine whether a standardized uptake value (SUV)-based detection of inflammatory arthritis (IA) could facilitate this analysis. METHODS We included 72 patients with known or suspected IA who underwent two-phase whole-body bone SPECT/CT after 550-650 MBq [99mTc]Tc-HDP injection. Forty-eight patients also had ultrasound (US) for peripheral IA, and 42 had MRI for axial IA. The skeleton was segmented into 26 joint areas and analyzed by trained observers using a visual consensus methodology and SUVmax measurements. RESULTS A total of 1836 joint areas were analyzed, including 1126 peripheral ones (limb joints excluding hips and shoulders). SUVmax was predictive of visually abnormal SPECT joints with high areas under receiver-operating-characteristic (ROC) curves for non-peripheral (BP-SPECT: 0.941 ± 0.017, DEL-SPECT: 0.910 ± 0.014) and especially peripheral (BP-SPECT: 0.980 ± 0.005, DEL-SPECT: 0.939 ± 0.012) joints. An SUVmax threshold-based prediction of visual SPECT abnormalities had high negative predictive values (BP-SPECT: 99.2% (1479/1491), DEL-SPECT: 97.2% (1333/1372)) but low positive predictive values (BP-SPECT: 35.1% (121/345), DEL-SPECT: 51.2% (237/463)). MRI- and US-defined IA were best predicted by a visually abnormal BP-SPECT due to higher specificities than SUVmax thresholds (all p < 0.05). CONCLUSION On two-phase whole-body bone SPECT/CT, an SUVmax-based IA detection may not replace the conventional visual method. However, given the high negative predictive values provided by SUVmax thresholds, the time-consuming visual analysis of SPECT/CT slices could be confined to the small proportion of joints exceeding these thresholds.
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Affiliation(s)
- Franklin Rajadhas
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Vandoeuvre-Les-Nancy, 54000, France
| | - Laetitia Imbert
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Vandoeuvre-Les-Nancy, 54000, France
- Université de Lorraine, INSERM U1254, IADI, Nancy, 54000, France
| | - Mathilde Fiorino
- Department of Rheumatology, CHRU Nancy, Vandoeuvre-Les-Nancy, 54500, France
| | - Caroline Morizot
- Department of Rheumatology, CHRU Nancy, Vandoeuvre-Les-Nancy, 54500, France
- UMR 7365 CNRS- ImoPA Nancy University Hospital and University of Lorraine, Vandoeuvre-Les-Nancy, 54500, France
| | - Victor Boucher
- Department of Rheumatology, CHRU Nancy, Vandoeuvre-Les-Nancy, 54500, France
| | - Zohra Lamiral
- Université de Lorraine, CHRU-Nancy, INSERM, CIC 1433, Nancy, 54000, France
| | - Véronique Roch
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Vandoeuvre-Les-Nancy, 54000, France
| | - Pierre-Yves Marie
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Vandoeuvre-Les-Nancy, 54000, France
- Université de Lorraine, INSERM U1254, IADI, Nancy, 54000, France
| | - Damien Loeuille
- Department of Rheumatology, CHRU Nancy, Vandoeuvre-Les-Nancy, 54500, France
- UMR 7365 CNRS- ImoPA Nancy University Hospital and University of Lorraine, Vandoeuvre-Les-Nancy, 54500, France
| | - Isabelle Chary-Valckenaere
- Department of Rheumatology, CHRU Nancy, Vandoeuvre-Les-Nancy, 54500, France
- UMR 7365 CNRS- ImoPA Nancy University Hospital and University of Lorraine, Vandoeuvre-Les-Nancy, 54500, France
| | - Achraf Bahloul
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Vandoeuvre-Les-Nancy, 54000, France.
- Université de Lorraine, INSERM U1254, IADI, Nancy, 54000, France.
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