Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma
- Autores
- Borggrefe, Jan; Giravent, Sarah; Thomsen, Felix Sebastian Leo; Peña, Jaime; Campbell, Graeme; Wulff, A.; Günther, A.; Heller, Martin; Glüer, Claus C.
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Purpose: Computed tomography (CT) is used for staging osteolytic lesions and detecting fractures in patients with multiple myeloma (MM). In the OsteoLysis of Metastases and Plasmacell-infiltration Computed Tomography (OLyMP-CT) study we investigated whether patients with and without vertebral fractures show differences in bone mineral density (BMD) or microstructure that could be used to identify patients at risk for fracture. Methods and Materials: We evaluated whole-body CT scans in a group of 104 MM patients without visible osteolytic lesions using an underlying lightweight calibration phantom (Image Analysis Inc., Columbia, KY, USA). QCT software (StructuralInsight) was used for the assessment of BMD and bone structure of the T11 or T12 vertebral body. Age-adjusted standardized odds ratios (sORs) per SD change were derived from logistic regression analyses, and areas under the receiver operating characteristics (ROC) curve (AUCs) analyses were calculated. Results: Forty-six of the 104 patients had prevalent vertebral fractures (24/60 men, 22/44 women). Patients with fractures were not significantly older than patients without fractures (mean ± SD, 64 ± 9.2 versus 62 ± 12.3 years; p = 0.4). Trabecular BMD in patients with fractures versus without fractures was 169 ± 41 versus 192 ± 51 mg/cc (AUC = 0.62 ± 0.06, sOR = 1.6 [1.1 to 2.5], p = 0.02). Microstructural variables achieved optimal discriminatory power at bone thresholds of 150 mg/cc. Best fracture discrimination for single microstructural variables was observed for trabecular separation (Tb.Sp) (AUC = 0.72 ± 0.05, sOR = 2.4 (1.5 to 3.9), p < 0.0001). In multivariate models AUCs improved to 0.77 ± 0.05 for BMD and Tb.Sp, and 0.79 ± 0.05 for Tb.Sp and trabecular thickness (Tb.Th). Compared to BMD values, these improvements of AUC values were statistically significant (p < 0.0001). Conclusion: In MM patients, QCT-based analyses of bone structure derived from routine CT scans permit discrimination of patients with and without vertebral fractures. Rarefaction of the trabecular network due to plasma cell infiltration and osteoporosis can be measured. Deterioration of microstructural measures appear to be of value for vertebral fracture risk assessment and may indicate early stages of osteolytic processes not yet visible.
Fil: Borggrefe, Jan . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania. Uniklinik Köln. Institut und Poliklinik für Diagnostische Radiologie; Alemania
Fil: Giravent, Sarah . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania
Fil: Thomsen, Felix Sebastian Leo. Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina
Fil: Peña, Jaime . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania
Fil: Campbell, Graeme . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania
Fil: Wulff, A.. Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania
Fil: Günther, A.. Universitätsklinikum Schleswig Holstein. Klinik für Innere Medizin. Sektion für Immun- und Stammzelltransplantation; Alemania
Fil: Heller, Martin . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania
Fil: Glüer, Claus C.. Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania - Materia
-
Multiple Myeloma
Osteoporosis
Vertebral Fracture
Qct
Fracture Risk
Trabecular Separation
Bmd - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/11745
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Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple MyelomaBorggrefe, Jan Giravent, Sarah Thomsen, Felix Sebastian LeoPeña, Jaime Campbell, Graeme Wulff, A.Günther, A.Heller, Martin Glüer, Claus C.Multiple MyelomaOsteoporosisVertebral FractureQctFracture RiskTrabecular SeparationBmdhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Purpose: Computed tomography (CT) is used for staging osteolytic lesions and detecting fractures in patients with multiple myeloma (MM). In the OsteoLysis of Metastases and Plasmacell-infiltration Computed Tomography (OLyMP-CT) study we investigated whether patients with and without vertebral fractures show differences in bone mineral density (BMD) or microstructure that could be used to identify patients at risk for fracture. Methods and Materials: We evaluated whole-body CT scans in a group of 104 MM patients without visible osteolytic lesions using an underlying lightweight calibration phantom (Image Analysis Inc., Columbia, KY, USA). QCT software (StructuralInsight) was used for the assessment of BMD and bone structure of the T11 or T12 vertebral body. Age-adjusted standardized odds ratios (sORs) per SD change were derived from logistic regression analyses, and areas under the receiver operating characteristics (ROC) curve (AUCs) analyses were calculated. Results: Forty-six of the 104 patients had prevalent vertebral fractures (24/60 men, 22/44 women). Patients with fractures were not significantly older than patients without fractures (mean ± SD, 64 ± 9.2 versus 62 ± 12.3 years; p = 0.4). Trabecular BMD in patients with fractures versus without fractures was 169 ± 41 versus 192 ± 51 mg/cc (AUC = 0.62 ± 0.06, sOR = 1.6 [1.1 to 2.5], p = 0.02). Microstructural variables achieved optimal discriminatory power at bone thresholds of 150 mg/cc. Best fracture discrimination for single microstructural variables was observed for trabecular separation (Tb.Sp) (AUC = 0.72 ± 0.05, sOR = 2.4 (1.5 to 3.9), p < 0.0001). In multivariate models AUCs improved to 0.77 ± 0.05 for BMD and Tb.Sp, and 0.79 ± 0.05 for Tb.Sp and trabecular thickness (Tb.Th). Compared to BMD values, these improvements of AUC values were statistically significant (p < 0.0001). Conclusion: In MM patients, QCT-based analyses of bone structure derived from routine CT scans permit discrimination of patients with and without vertebral fractures. Rarefaction of the trabecular network due to plasma cell infiltration and osteoporosis can be measured. Deterioration of microstructural measures appear to be of value for vertebral fracture risk assessment and may indicate early stages of osteolytic processes not yet visible.Fil: Borggrefe, Jan . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania. Uniklinik Köln. Institut und Poliklinik für Diagnostische Radiologie; AlemaniaFil: Giravent, Sarah . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; AlemaniaFil: Thomsen, Felix Sebastian Leo. Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; ArgentinaFil: Peña, Jaime . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; AlemaniaFil: Campbell, Graeme . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; AlemaniaFil: Wulff, A.. Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; AlemaniaFil: Günther, A.. Universitätsklinikum Schleswig Holstein. Klinik für Innere Medizin. Sektion für Immun- und Stammzelltransplantation; AlemaniaFil: Heller, Martin . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; AlemaniaFil: Glüer, Claus C.. Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; AlemaniaWiley2015-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/pdfhttp://hdl.handle.net/11336/11745Borggrefe, Jan ; Giravent, Sarah ; Thomsen, Felix Sebastian Leo; Peña, Jaime ; Campbell, Graeme ; et al.; Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma; Wiley; Journal Of Bone And Mineral Research; 30; 7; 7-2015; 1329-13371523-4681enginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/jbmr.2443/abstractinfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1002/jbmr.2443info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:06:35Zoai:ri.conicet.gov.ar:11336/11745instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:06:35.431CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma |
title |
Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma |
spellingShingle |
Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma Borggrefe, Jan Multiple Myeloma Osteoporosis Vertebral Fracture Qct Fracture Risk Trabecular Separation Bmd |
title_short |
Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma |
title_full |
Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma |
title_fullStr |
Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma |
title_full_unstemmed |
Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma |
title_sort |
Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma |
dc.creator.none.fl_str_mv |
Borggrefe, Jan Giravent, Sarah Thomsen, Felix Sebastian Leo Peña, Jaime Campbell, Graeme Wulff, A. Günther, A. Heller, Martin Glüer, Claus C. |
author |
Borggrefe, Jan |
author_facet |
Borggrefe, Jan Giravent, Sarah Thomsen, Felix Sebastian Leo Peña, Jaime Campbell, Graeme Wulff, A. Günther, A. Heller, Martin Glüer, Claus C. |
author_role |
author |
author2 |
Giravent, Sarah Thomsen, Felix Sebastian Leo Peña, Jaime Campbell, Graeme Wulff, A. Günther, A. Heller, Martin Glüer, Claus C. |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
Multiple Myeloma Osteoporosis Vertebral Fracture Qct Fracture Risk Trabecular Separation Bmd |
topic |
Multiple Myeloma Osteoporosis Vertebral Fracture Qct Fracture Risk Trabecular Separation Bmd |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.2 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Purpose: Computed tomography (CT) is used for staging osteolytic lesions and detecting fractures in patients with multiple myeloma (MM). In the OsteoLysis of Metastases and Plasmacell-infiltration Computed Tomography (OLyMP-CT) study we investigated whether patients with and without vertebral fractures show differences in bone mineral density (BMD) or microstructure that could be used to identify patients at risk for fracture. Methods and Materials: We evaluated whole-body CT scans in a group of 104 MM patients without visible osteolytic lesions using an underlying lightweight calibration phantom (Image Analysis Inc., Columbia, KY, USA). QCT software (StructuralInsight) was used for the assessment of BMD and bone structure of the T11 or T12 vertebral body. Age-adjusted standardized odds ratios (sORs) per SD change were derived from logistic regression analyses, and areas under the receiver operating characteristics (ROC) curve (AUCs) analyses were calculated. Results: Forty-six of the 104 patients had prevalent vertebral fractures (24/60 men, 22/44 women). Patients with fractures were not significantly older than patients without fractures (mean ± SD, 64 ± 9.2 versus 62 ± 12.3 years; p = 0.4). Trabecular BMD in patients with fractures versus without fractures was 169 ± 41 versus 192 ± 51 mg/cc (AUC = 0.62 ± 0.06, sOR = 1.6 [1.1 to 2.5], p = 0.02). Microstructural variables achieved optimal discriminatory power at bone thresholds of 150 mg/cc. Best fracture discrimination for single microstructural variables was observed for trabecular separation (Tb.Sp) (AUC = 0.72 ± 0.05, sOR = 2.4 (1.5 to 3.9), p < 0.0001). In multivariate models AUCs improved to 0.77 ± 0.05 for BMD and Tb.Sp, and 0.79 ± 0.05 for Tb.Sp and trabecular thickness (Tb.Th). Compared to BMD values, these improvements of AUC values were statistically significant (p < 0.0001). Conclusion: In MM patients, QCT-based analyses of bone structure derived from routine CT scans permit discrimination of patients with and without vertebral fractures. Rarefaction of the trabecular network due to plasma cell infiltration and osteoporosis can be measured. Deterioration of microstructural measures appear to be of value for vertebral fracture risk assessment and may indicate early stages of osteolytic processes not yet visible. Fil: Borggrefe, Jan . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania. Uniklinik Köln. Institut und Poliklinik für Diagnostische Radiologie; Alemania Fil: Giravent, Sarah . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania Fil: Thomsen, Felix Sebastian Leo. Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina Fil: Peña, Jaime . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania Fil: Campbell, Graeme . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania Fil: Wulff, A.. Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania Fil: Günther, A.. Universitätsklinikum Schleswig Holstein. Klinik für Innere Medizin. Sektion für Immun- und Stammzelltransplantation; Alemania Fil: Heller, Martin . Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania Fil: Glüer, Claus C.. Universitätsklinikum Schleswig Holstein. Klinik für Radiologie und Neuroradiologie. Sektion für Biomedizinische Bildgebung; Alemania |
description |
Purpose: Computed tomography (CT) is used for staging osteolytic lesions and detecting fractures in patients with multiple myeloma (MM). In the OsteoLysis of Metastases and Plasmacell-infiltration Computed Tomography (OLyMP-CT) study we investigated whether patients with and without vertebral fractures show differences in bone mineral density (BMD) or microstructure that could be used to identify patients at risk for fracture. Methods and Materials: We evaluated whole-body CT scans in a group of 104 MM patients without visible osteolytic lesions using an underlying lightweight calibration phantom (Image Analysis Inc., Columbia, KY, USA). QCT software (StructuralInsight) was used for the assessment of BMD and bone structure of the T11 or T12 vertebral body. Age-adjusted standardized odds ratios (sORs) per SD change were derived from logistic regression analyses, and areas under the receiver operating characteristics (ROC) curve (AUCs) analyses were calculated. Results: Forty-six of the 104 patients had prevalent vertebral fractures (24/60 men, 22/44 women). Patients with fractures were not significantly older than patients without fractures (mean ± SD, 64 ± 9.2 versus 62 ± 12.3 years; p = 0.4). Trabecular BMD in patients with fractures versus without fractures was 169 ± 41 versus 192 ± 51 mg/cc (AUC = 0.62 ± 0.06, sOR = 1.6 [1.1 to 2.5], p = 0.02). Microstructural variables achieved optimal discriminatory power at bone thresholds of 150 mg/cc. Best fracture discrimination for single microstructural variables was observed for trabecular separation (Tb.Sp) (AUC = 0.72 ± 0.05, sOR = 2.4 (1.5 to 3.9), p < 0.0001). In multivariate models AUCs improved to 0.77 ± 0.05 for BMD and Tb.Sp, and 0.79 ± 0.05 for Tb.Sp and trabecular thickness (Tb.Th). Compared to BMD values, these improvements of AUC values were statistically significant (p < 0.0001). Conclusion: In MM patients, QCT-based analyses of bone structure derived from routine CT scans permit discrimination of patients with and without vertebral fractures. Rarefaction of the trabecular network due to plasma cell infiltration and osteoporosis can be measured. Deterioration of microstructural measures appear to be of value for vertebral fracture risk assessment and may indicate early stages of osteolytic processes not yet visible. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/11745 Borggrefe, Jan ; Giravent, Sarah ; Thomsen, Felix Sebastian Leo; Peña, Jaime ; Campbell, Graeme ; et al.; Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma; Wiley; Journal Of Bone And Mineral Research; 30; 7; 7-2015; 1329-1337 1523-4681 |
url |
http://hdl.handle.net/11336/11745 |
identifier_str_mv |
Borggrefe, Jan ; Giravent, Sarah ; Thomsen, Felix Sebastian Leo; Peña, Jaime ; Campbell, Graeme ; et al.; Association of QCT Bone Mineral Density and Bone Structure With Vertebral Fractures in Patients With Multiple Myeloma; Wiley; Journal Of Bone And Mineral Research; 30; 7; 7-2015; 1329-1337 1523-4681 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/jbmr.2443/abstract info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1002/jbmr.2443 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/vnd.openxmlformats-officedocument.wordprocessingml.document application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.13397 |