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Vereecke E, Jans L, Herregods N, Chen M, Jaremko JL, Laloo F, Carron P, Varkas G, de Hooge M, Van den Bosch F, Elewaut D, Morbée L. Association of anatomical variants of the sacroiliac joint with bone marrow edema in patients with axial spondyloarthritis. Skeletal Radiol 2024; 53:507-514. [PMID: 37682337 DOI: 10.1007/s00256-023-04435-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/17/2023] [Accepted: 08/17/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVE To determine the prevalence of sacroiliac joint variants in patients with axial spondyloarthritis (axSpA) using MRI-based synthetic CT images and to evaluate their relationships with the presence of bone marrow edema, as this may potentially complicate diagnosing active sacroiliitis on MRI in patients with suspected axSpA. METHODS 172 patients were retrospectively included. All patients underwent MRI because of clinical suspicion of sacroiliitis. The diagnosis of axSpA was made by a tertiary hospital rheumatologist. Two readers independently determined the presence of bone marrow edema and the presence of one or more of the nine known sacroiliac joint (SIJ) variants. RESULTS SIJ variants were common in axSpA patients (82.9%) and the non-SpA group (85.4%); there were no significant differences in prevalence. Bone marrow edema was frequently found in axSpA (86.8%) and non-SpA patients (34%). AxSpA patients with SIJ variants (except for accessory joint) demonstrated 4 to 10 times higher odds for bone marrow edema, however not statistically significant. The more variants were present in this group, the higher the chance of bone marrow edema. However, some multicollinearity cannot be excluded, since bone marrow edema is very frequent in the axSpA group by definition. CONCLUSION SIJ variants are common in axSpA and non-SpA patients. SIJ variants were associated with higher prevalence of bone marrow edema in axSpA patients, potentially due to altered biomechanics, except for accessory joint which may act as a stabilizer.
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Affiliation(s)
- Elke Vereecke
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
| | - Lennart Jans
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Nele Herregods
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Min Chen
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Jacob L Jaremko
- Department of Radiology and Diagnostic Imaging, Faculty of Medicine and Dentistry, University of Alberta Hospital, Edmonton, AB, Canada
| | - Frederiek Laloo
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Philippe Carron
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgium
- Molecular Immunology and Inflammation Unit, VIB-UGent Center for Inflammation Research, Zwijnaarde, Belgium
| | - Gaëlle Varkas
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgium
- Molecular Immunology and Inflammation Unit, VIB-UGent Center for Inflammation Research, Zwijnaarde, Belgium
- Department of Rheumatology, Jan Palfijn Hospital, Ghent, Belgium
| | - Manouk de Hooge
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgium
- Molecular Immunology and Inflammation Unit, VIB-UGent Center for Inflammation Research, Zwijnaarde, Belgium
| | - Filip Van den Bosch
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgium
- Molecular Immunology and Inflammation Unit, VIB-UGent Center for Inflammation Research, Zwijnaarde, Belgium
| | - Dirk Elewaut
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgium
- Molecular Immunology and Inflammation Unit, VIB-UGent Center for Inflammation Research, Zwijnaarde, Belgium
| | - Lieve Morbée
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
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Van Den Berghe T, Delbare F, Candries E, Lejoly M, Algoet C, Chen M, Laloo F, Huysse WCJ, Creytens D, Verstraete KL. A retrospective external validation study of the Birmingham Atypical Cartilage Tumour Imaging Protocol (BACTIP) for the management of solitary central cartilage tumours of the proximal humerus and around the knee. Eur Radiol 2024:10.1007/s00330-024-10604-y. [PMID: 38319428 DOI: 10.1007/s00330-024-10604-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/01/2023] [Accepted: 12/20/2023] [Indexed: 02/07/2024]
Abstract
OBJECTIVES This study aimed to externally validate the Birmingham Atypical Cartilage Tumour Imaging Protocol (BACTIP) recommendations for differentiation/follow-up of central cartilage tumours (CCTs) of the proximal humerus, distal femur, and proximal tibia and to propose BACTIP adaptations if the results provide new insights. METHODS MRIs of 123 patients (45 ± 11 years, 37 men) with an untreated CCT with MRI follow-up (n = 62) or histopathological confirmation (n = 61) were retrospectively/consecutively included and categorised following the BACTIP (2003-2020 / Ghent University Hospital/Belgium). Tumour length and endosteal scalloping differences between enchondroma, atypical cartilaginous tumour (ACT), and high-grade chondrosarcoma (CS II/III/dedifferentiated) were evaluated. ROC-curve analysis for differentiating benign from malignant CCTs and for evaluating the BACTIP was performed. RESULTS For lesion length and endosteal scalloping, ROC-AUCs were poor and fair-excellent, respectively, for differentiating different CCT groups (0.59-0.69 versus 0.73-0.91). The diagnostic performance of endosteal scalloping and the BACTIP was higher than that of lesion length. A 1° endosteal scalloping cut-off differentiated enchondroma from ACT + high-grade chondrosarcoma with a sensitivity of 90%, reducing the potential diagnostic delay. However, the specificity was 29%, inducing overmedicalisation (excessive follow-up). ROC-AUC of the BACTIP was poor for differentiating enchondroma from ACT (ROC-AUC = 0.69; 95%CI = 0.51-0.87; p = 0.041) and fair-good for differentiation between other CCT groups (ROC-AUC = 0.72-0.81). BACTIP recommendations were incorrect/unsafe in five ACTs and one CSII, potentially inducing diagnostic delay. Eleven enchondromas received unnecessary referrals/follow-up. CONCLUSION Although promising as a useful tool for management/follow-up of CCTs of the proximal humerus, distal femur, and proximal tibia, five ACTs and one chondrosarcoma grade II were discharged, potentially inducing diagnostic delay, which could be reduced by adapting BACTIP cut-off values. CLINICAL RELEVANCE STATEMENT Mostly, Birmingham Atypical Cartilage Tumour Imaging Protocol (BACTIP) assesses central cartilage tumours of the proximal humerus and the knee correctly. Both when using the BACTIP and when adapting cut-offs, caution should be taken for the trade-off between underdiagnosis/potential diagnostic delay in chondrosarcomas and overmedicalisation in enchondromas. KEY POINTS • This retrospective external validation confirms the Birmingham Atypical Cartilage Tumour Imaging Protocol as a useful tool for initial assessment and follow-up recommendation of central cartilage tumours in the proximal humerus and around the knee in the majority of cases. • Using only the Birmingham Atypical Cartilage Tumour Imaging Protocol, both atypical cartilaginous tumours and high-grade chondrosarcomas (grade II, grade III, and dedifferentiated chondrosarcomas) can be misdiagnosed, excluding them from specialist referral and further follow-up, thus creating a potential risk of delayed diagnosis and worse prognosis. • Adapted cut-offs to maximise detection of atypical cartilaginous tumours and high-grade chondrosarcomas, minimise underdiagnosis and reduce potential diagnostic delay in malignant tumours but increase unnecessary referral and follow-up of benign tumours.
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Affiliation(s)
- Thomas Van Den Berghe
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
- Department of Diagnostic Sciences, Ghent University, Sint-Pietersnieuwstraat 25, 9000, Ghent, Belgium.
| | - Felix Delbare
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Sint-Pietersnieuwstraat 25, 9000, Ghent, Belgium
| | - Esther Candries
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Sint-Pietersnieuwstraat 25, 9000, Ghent, Belgium
| | - Maryse Lejoly
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Sint-Pietersnieuwstraat 25, 9000, Ghent, Belgium
| | - Chloé Algoet
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Sint-Pietersnieuwstraat 25, 9000, Ghent, Belgium
| | - Min Chen
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Frederiek Laloo
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Sint-Pietersnieuwstraat 25, 9000, Ghent, Belgium
| | - Wouter C J Huysse
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Sint-Pietersnieuwstraat 25, 9000, Ghent, Belgium
| | - David Creytens
- Department of Pathology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Koenraad L Verstraete
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Sint-Pietersnieuwstraat 25, 9000, Ghent, Belgium
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Van Den Berghe T, Babin D, Chen M, Callens M, Brack D, Maes H, Lievens J, Lammens M, Van Sumere M, Morbée L, Hautekeete S, Schatteman S, Jacobs T, Thooft WJ, Herregods N, Huysse W, Jaremko JL, Lambert R, Maksymowych W, Laloo F, Baraliakos X, De Craemer AS, Carron P, Van den Bosch F, Elewaut D, Jans L. Neural network algorithm for detection of erosions and ankylosis on CT of the sacroiliac joints: multicentre development and validation of diagnostic accuracy. Eur Radiol 2023; 33:8310-8323. [PMID: 37219619 DOI: 10.1007/s00330-023-09704-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 03/03/2023] [Accepted: 03/25/2023] [Indexed: 05/24/2023]
Abstract
OBJECTIVES To evaluate the feasibility and diagnostic accuracy of a deep learning network for detection of structural lesions of sacroiliitis on multicentre pelvic CT scans. METHODS Pelvic CT scans of 145 patients (81 female, 121 Ghent University/24 Alberta University, 18-87 years old, mean 40 ± 13 years, 2005-2021) with a clinical suspicion of sacroiliitis were retrospectively included. After manual sacroiliac joint (SIJ) segmentation and structural lesion annotation, a U-Net for SIJ segmentation and two separate convolutional neural networks (CNN) for erosion and ankylosis detection were trained. In-training validation and tenfold validation testing (U-Net-n = 10 × 58; CNN-n = 10 × 29) on a test dataset were performed to assess performance on a slice-by-slice and patient level (dice coefficient/accuracy/sensitivity/specificity/positive and negative predictive value/ROC AUC). Patient-level optimisation was applied to increase the performance regarding predefined statistical metrics. Gradient-weighted class activation mapping (Grad-CAM++) heatmap explainability analysis highlighted image parts with statistically important regions for algorithmic decisions. RESULTS Regarding SIJ segmentation, a dice coefficient of 0.75 was obtained in the test dataset. For slice-by-slice structural lesion detection, a sensitivity/specificity/ROC AUC of 95%/89%/0.92 and 93%/91%/0.91 were obtained in the test dataset for erosion and ankylosis detection, respectively. For patient-level lesion detection after pipeline optimisation for predefined statistical metrics, a sensitivity/specificity of 95%/85% and 82%/97% were obtained for erosion and ankylosis detection, respectively. Grad-CAM++ explainability analysis highlighted cortical edges as focus for pipeline decisions. CONCLUSIONS An optimised deep learning pipeline, including an explainability analysis, detects structural lesions of sacroiliitis on pelvic CT scans with excellent statistical performance on a slice-by-slice and patient level. CLINICAL RELEVANCE STATEMENT An optimised deep learning pipeline, including a robust explainability analysis, detects structural lesions of sacroiliitis on pelvic CT scans with excellent statistical metrics on a slice-by-slice and patient level. KEY POINTS • Structural lesions of sacroiliitis can be detected automatically in pelvic CT scans. • Both automatic segmentation and disease detection yield excellent statistical outcome metrics. • The algorithm takes decisions based on cortical edges, rendering an explainable solution.
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Affiliation(s)
- Thomas Van Den Berghe
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
| | - Danilo Babin
- Department of Telecommunication and Information Processing - Image Processing and Interpretation (TELIN-IPI), Faculty of Engineering and Architecture, Ghent University - IMEC, Sint-Pietersnieuwstraat 41, 9000, Ghent, Belgium
| | - Min Chen
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Martijn Callens
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Denim Brack
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Helena Maes
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Jan Lievens
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Marie Lammens
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Maxime Van Sumere
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Lieve Morbée
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Simon Hautekeete
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Stijn Schatteman
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Tom Jacobs
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Willem-Jan Thooft
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Nele Herregods
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Wouter Huysse
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Jacob L Jaremko
- Department of Radiology and Diagnostic Imaging and Rheumatology, University of Alberta, 8440 122 Street NW, Edmonton, Alberta, T6G 2B7, Canada
| | - Robert Lambert
- Department of Radiology and Diagnostic Imaging and Rheumatology, University of Alberta, 8440 122 Street NW, Edmonton, Alberta, T6G 2B7, Canada
| | - Walter Maksymowych
- Department of Radiology and Diagnostic Imaging and Rheumatology, University of Alberta, 8440 122 Street NW, Edmonton, Alberta, T6G 2B7, Canada
| | - Frederiek Laloo
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Xenofon Baraliakos
- Rheumazentrum Ruhrgebiet Herne, Ruhr-University Bochum, Claudiusstraße 45, 44649, Herne, Germany
| | - Ann-Sophie De Craemer
- Department of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Vlaams Instituut voor Biotechnologie (VIB) Centre for Inflammation Research (IRC), Ghent University, Technologiepark 927, 9052, Ghent, Belgium
| | - Philippe Carron
- Department of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Vlaams Instituut voor Biotechnologie (VIB) Centre for Inflammation Research (IRC), Ghent University, Technologiepark 927, 9052, Ghent, Belgium
| | - Filip Van den Bosch
- Department of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Vlaams Instituut voor Biotechnologie (VIB) Centre for Inflammation Research (IRC), Ghent University, Technologiepark 927, 9052, Ghent, Belgium
| | - Dirk Elewaut
- Department of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Vlaams Instituut voor Biotechnologie (VIB) Centre for Inflammation Research (IRC), Ghent University, Technologiepark 927, 9052, Ghent, Belgium
| | - Lennart Jans
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
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Herregods N, Anisau A, Schiettecatte E, Vereecke E, Morbée L, Laloo F, Jaremko JL, Jans L. MRI in pediatric sacroiliitis, what radiologists should know. Pediatr Radiol 2023; 53:1576-1586. [PMID: 36856758 DOI: 10.1007/s00247-023-05602-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 12/21/2022] [Accepted: 01/11/2023] [Indexed: 03/02/2023]
Abstract
MRI is used for early detection of inflammation of sacroiliac joints as it shows active lesions of sacroiliitis long before radiographs show damage to the sacroiliac joints. Early diagnosis of arthritis allows early treatment of inflammation and can help delay disease progression and prevent irreversible damage. Also, early identification of axial involvement in juvenile spondyloarthropathy is crucial, as treatment options are different than for peripheral juvenile spondyloarthropathy. In general, standard sequences used in adults are also applied to children. However, interpreting MR images of pediatric sacroiliac joints is more challenging than in adults, because of normal physiological changes during skeletal maturation, which can simulate disease on MR images. Furthermore, classical definitions of sacroiliitis used in adults, for both active inflammatory and structural lesions, can be difficult to extrapolate to children. The development of reliable pediatric-specific definitions for sacroiliitis is still in active study. Understanding both normal and pathological signal changes in children is important to distinguish physiologic findings from disease and to make a correct diagnosis. In this review, the main imaging characteristics of sacroiliitis on MRI in children and its frequent pitfalls will be illustrated, while also citing some discussion points regarding the scan protocol.
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Affiliation(s)
- Nele Herregods
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
| | - Aliaksandr Anisau
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
| | - Eva Schiettecatte
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
| | - Elke Vereecke
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
| | - Lieve Morbée
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
| | - Frederiek Laloo
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
| | - Jacob L Jaremko
- Department of Radiology & Diagnostic Imaging, University of Alberta, 8440-112 Street, EdmontonAlberta, T6G 2B7, Canada
- Medical Imaging Consultants, Edmonton, AB, Canada
| | - Lennart Jans
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
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Laloo F, Saveyn T, Huysse W. Cortical Osteolytic Lesion in an Older Patient: Always Consider Metastasis. J Belg Soc Radiol 2023; 107:41. [PMID: 37274596 PMCID: PMC10237246 DOI: 10.5334/jbsr.3183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 05/15/2023] [Indexed: 06/06/2023] Open
Abstract
Teaching point: Cortical metastasis has to be considered in older patients with a cortical osteolytic lesion.
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Vereecke E, Morbée L, Laloo F, Chen M, Jaremko JL, Herregods N, Jans L. Anatomical variation of the sacroiliac joints: an MRI study with synthetic CT images. Insights Imaging 2023; 14:30. [PMID: 36750489 PMCID: PMC9905396 DOI: 10.1186/s13244-023-01373-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/09/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Synthetic computed tomography (sCT) images are magnetic resonance imaging (MRI)-based images, generated using artificial intelligence. This study aimed to determine the prevalence of anatomical variants of sacroiliac joints (SIJ) on sCT images and the correlation with age, sex and body weight. METHODS MRI of the SIJ including sCT images of 215 patients clinically suspected for sacroiliitis were retrospectively analyzed. The presence of anatomical variants of the SIJ was assessed. Age, sex and body mass index at the time of the MRI were recorded. RESULTS SIJ variants were found in 82.8% (356/430) of the evaluated joints. The most frequent variants were iliosacral complex (27.7%), bipartite iliac bony plate (27.2%) and crescent iliac bony plate (27%). One new variant was identified, consisting of an accessory facet of the SIJ on the superior side. Overall, SIJ variants were slightly more frequent in women (85.8% vs. 77.8%), but iliosacral complex was significantly more frequent in men. Isolated synostosis was more prevalent with advancing age, in contrast to semicircular defect and unfused ossification center. The occurrence of iliosacral complex was associated with higher BMI, while crescent iliac bony plate occurred more in patients with lower BMI. CONCLUSION Over 80% of patients in this study, who were all suspected of sacroiliitis, had at least one SIJ variant. These variants may actually represent subtypes of the normal SIJ. sCT enables detection of very small or subtle findings including SIJ variants.
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Affiliation(s)
- Elke Vereecke
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
| | - Lieve Morbée
- grid.410566.00000 0004 0626 3303Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Frederiek Laloo
- grid.410566.00000 0004 0626 3303Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Min Chen
- grid.440601.70000 0004 1798 0578Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, 518036 China
| | - Jacob L. Jaremko
- grid.241114.30000 0004 0459 7625Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, Edmonton, AB T6G 2B7 Canada
| | - Nele Herregods
- grid.410566.00000 0004 0626 3303Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Lennart Jans
- grid.410566.00000 0004 0626 3303Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
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Herregods N, Lambert RGW, Schiettecatte E, Dehoorne J, Renson T, Laloo F, Van Den Berghe T, Jans LBO, Jaremko JL. Blurring and Irregularity of the Subchondral Cortex in Pediatric Sacroiliac Joints on T1 Images: Incidence of Normal Findings That Can Mimic Erosions. Arthritis Care Res (Hoboken) 2023; 75:190-197. [PMID: 34235890 DOI: 10.1002/acr.24746] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/15/2021] [Accepted: 07/06/2021] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To determine prevalence of variations of subchondral bone appearance that may mimic erosions on T1-weighted magnetic resonance imaging (MRI) of pediatric sacroiliac (SI) joints according to age and sex. METHODS With ethics committee approval and informed consent, SI joint MRIs of 251 children (132 girls), mean age 12.4 years (range 6.1-18.0 years), were obtained in 2 cohorts: 127 children imaged for nonrheumatic reasons, and 124 children with low back pain but no features of sacroiliitis at initial clinical MRI review. MRIs were reviewed by 3 experienced radiologists, blinded from each other, for 3 features of the cortical black line representing the subchondral bone plate on T1-weighted MRI: visibility, blurring, and irregularity. RESULTS Based on agreement from 2 or more readers, the cortical black line was partially absent in 88.4% of the children, blurred in 34.7%, and irregular in 41.4%. All these features were most common on the iliac side of SI joints and at the first sacral vertebra level. Clearly visualized, sharply delineated SI joints with none of these features were seen in only 8.0% of children, or in 35.1% if we conservatively required agreement of all 3 readers to consider a feature present. There was no significant difference between sexes or cohorts; findings were similar across pediatric age groups. CONCLUSION Understanding the normal MRI appearance of the developing SI joint is necessary to distinguish physiologic findings from disease. At least two-thirds (65%) of normal pediatric SI joints showed at least 1 feature that is a component of the adult definition of SI joint erosions, risking overdiagnosis of sacroiliitis.
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Affiliation(s)
| | - Robert G W Lambert
- University of Alberta and Medical Imaging Consultants, Edmonton, Alberta, Canada
| | | | | | | | | | | | | | - Jacob L Jaremko
- University of Alberta and Medical Imaging Consultants, Edmonton, Alberta, Canada
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Morbée L, Vereecke E, Laloo F, Chen M, Herregods N, Jans LBO. Common incidental findings on sacroiliac joint MRI: Added value of MRI-based synthetic CT. Eur J Radiol 2023; 158:110651. [PMID: 36535080 DOI: 10.1016/j.ejrad.2022.110651] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 12/01/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE To determine the prevalence of incidental findings on sacroiliac joint MRI and to determine the added value of MRI-based synthetic CT in the detection and evaluation of these incidental findings. METHOD In this retrospective study 210 patients clinically suspected of spondyloarthritis who underwent MRI of the sacroiliac joint with synthetic CT sequence were included. The images were reviewed by two radiologists in consensus for the prevalence of sacroiliitis, incidental findings, and the ability of synthetic CT and the conventional MRI to detect and diagnose these findings. RESULTS In 44.7% of patients sacroiliitis was present. In 89.0% of patients MRI showed at least one incidental finding other than sacroiliitis. Degeneration of the sacroiliac joint was the most prevalent finding (140 patients, 66.6%). The most frequent incidental findings outside the sacroiliac joint were facet joint degeneration (29.0%), disc degeneration (25.2%), enostosis (19.5%) and lumbosacral transitional vertebrae (14.3%). A total of 788 lesions was recorded and synthetic CT was found to be problem solving or necessary for diagnosis in 543 (68.9%) of these lesions. 42.1% of lesions were not visible on conventional MRI (T1 TSE and STIR), most often degenerative osteophytes in the sacroiliac joint or lower lumbar spine. CONCLUSION Incidental findings are seen more frequently on sacroiliac joint MRI than sacroiliitis, which is relevant as some will have clinical significance or require treatment. Nearly half of these incidental lesions were only visible on synthetic CT, which additionally has been shown to be problem solving for diagnosis in many other cases.
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Affiliation(s)
- Lieve Morbée
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
| | - Elke Vereecke
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Frederiek Laloo
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Min Chen
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Nele Herregods
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Lennart B O Jans
- Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
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9
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Vereecke E, Herregods N, Morbée L, Laloo F, Chen M, Jans L. Imaging of Structural Abnormalities of the Sacrum: The Old Faithful and Newly Emerging Techniques. Semin Musculoskelet Radiol 2022; 26:469-477. [PMID: 36103888 DOI: 10.1055/s-0042-1754342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
The sacrum and sacroiliac joints pose a long-standing challenge for adequate imaging because of their complex anatomical form, oblique orientation, and posterior location in the pelvis, making them subject to superimposition. The sacrum and sacroiliac joints are composed of multiple diverse tissues, further complicating their imaging. Varying imaging techniques are suited to evaluate the sacrum, each with its specific clinical indications, benefits, and drawbacks. New techniques continue to be developed and validated, such as dual-energy computed tomography (CT) and new magnetic resonance imaging (MRI) sequences, for example susceptibility-weighted imaging. Ongoing development of artificial intelligence, such as algorithms allowing reconstruction of MRI-based synthetic CT images, promises even more clinical imaging options.
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Affiliation(s)
- Elke Vereecke
- Department of Radiology, Ghent University Hospital, Gent, Belgium
| | - Nele Herregods
- Department of Radiology, Ghent University Hospital, Gent, Belgium
| | - Lieve Morbée
- Department of Radiology, Ghent University Hospital, Gent, Belgium
| | - Frederiek Laloo
- Department of Radiology, Ghent University Hospital, Gent, Belgium
| | - Min Chen
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Lennart Jans
- Department of Radiology, Ghent University Hospital, Gent, Belgium
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10
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Vanmarsnille T, Laloo F, Herregods N, Jaremko JL, Verstraete KL, Jans L. Pediatric Imaging of the Elbow: A Pictorial Review. Semin Musculoskelet Radiol 2021; 25:558-565. [PMID: 34706385 DOI: 10.1055/s-0041-1735468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
The elbow is a complex joint, subject to a wide range of traumatic, inflammatory, metabolic and neoplastic insults. The pediatric elbow has several diagnostic pitfalls due to the normal developmental changes in children. Knowledge of these normal variants is essential for both diagnosis and management of their elbow injuries. Radiography remains the first imaging modality of choice. Magnetic resonance imaging is excellent in evaluating lesions within the bone and soft tissues. In this pictorial essay, we provide insights into pediatric elbow imaging, show a range of entities specific to the pediatric elbow, and discuss diagnostic pitfalls that result from normal elbow growth in children.
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Affiliation(s)
- Tim Vanmarsnille
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Frederiek Laloo
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Nele Herregods
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Jacob L Jaremko
- Department of Radiology & Diagnostic Imaging, Faculty of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Koenraad L Verstraete
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Lennart Jans
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
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11
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Hemke R, Herregods N, Jaremko JL, Åström G, Avenarius D, Becce F, Bielecki DK, Boesen M, Dalili D, Giraudo C, Hermann KG, Humphries P, Isaac A, Jurik AG, Klauser AS, Kvist O, Laloo F, Maas M, Mester A, Oei E, Offiah AC, Omoumi P, Papakonstantinou O, Plagou A, Shelmerdine S, Simoni P, Sudoł-Szopińska I, Tanturri de Horatio L, Teh J, Jans L, Rosendahl K. Imaging assessment of children presenting with suspected or known juvenile idiopathic arthritis: ESSR-ESPR points to consider. Eur Radiol 2020; 30:5237-5249. [PMID: 32399709 PMCID: PMC7476913 DOI: 10.1007/s00330-020-06807-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 02/08/2020] [Accepted: 03/12/2020] [Indexed: 12/17/2022]
Abstract
Juvenile idiopathic arthritis (JIA) is the most common paediatric rheumatic disease. It represents a group of heterogenous inflammatory disorders with unknown origin and is a diagnosis of exclusion in which imaging plays an important role. JIA is defined as arthritis of one or more joints that begins before the age of 16 years, persists for more than 6 weeks and is of unknown aetiology and pathophysiology. The clinical goal is early suppression of inflammation to prevent irreversible joint damage which has shifted the emphasis from detecting established joint damage to proactively detecting inflammatory change. This drives the need for imaging techniques that are more sensitive than conventional radiography in the evaluation of inflammatory processes as well as early osteochondral change. Physical examination has limited reliability, even if performed by an experienced clinician, emphasising the importance of imaging to aid in clinical decision-making. On behalf of the European Society of Musculoskeletal Radiology (ESSR) arthritis subcommittee and the European Society of Paediatric Radiology (ESPR) musculoskeletal imaging taskforce, based on literature review and/or expert opinion, we discuss paediatric-specific imaging characteristics of the most commonly involved, in literature best documented and clinically important joints in JIA, namely the temporomandibular joints (TMJs), spine, sacroiliac (SI) joints, wrists, hips and knees, followed by a clinically applicable point to consider for each joint. We will also touch upon controversies in the current literature that remain to be resolved with ongoing research. KEY POINTS: • Juvenile idiopathic arthritis (JIA) is the most common chronic paediatric rheumatic disease and, in JIA imaging, is increasingly important to aid in clinical decision-making. • Conventional radiographs have a lower sensitivity and specificity for detection of disease activity and early destructive change, as compared to MRI or ultrasound. Nonetheless, radiography remains important, particularly in narrowing the differential diagnosis and evaluating growth disturbances. • Mainly in peripheral joints, ultrasound can be helpful for assessment of inflammation and guiding joint injections. In JIA, MRI is the most validated technique. MRI should be considered as the modality of choice to assess the axial skeleton or where the clinical presentation overlaps with JIA.
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Affiliation(s)
- Robert Hemke
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam Movement Sciences, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Nele Herregods
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium
| | - Jacob L Jaremko
- Department of Radiology and Diagnostic Imaging, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Gunnar Åström
- Department of Radiology, Uppsala University, Uppsala, Sweden
| | - Derk Avenarius
- Department of Radiology, University Hospital of North Norway, Tromsø, Norway
| | - Fabio Becce
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Dennis K Bielecki
- Department of Diagnostic Imaging, Kings College Hospital, London, UK
| | - Mikael Boesen
- Department of Radiology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Danoob Dalili
- Department of Radiology, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
| | - Chiara Giraudo
- Radiology Institute, Department of Medicine - DIMED, Padova University, Padua, Italy
| | - Kay-Geert Hermann
- Department of Radiology, University Hospital Charité, Berlin, Germany
| | - Paul Humphries
- Department of Radiology, Great Ormond Street Hospital, London, UK
| | - Amanda Isaac
- Department of Radiology, Guy's & St Thomas Hospitals, London, UK
| | - Anne Grethe Jurik
- Department of Radiology, Aarhus University Hospital, Aarhus, Denmark
| | - Andrea S Klauser
- Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ola Kvist
- Department of Paediatric Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Frederiek Laloo
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium
| | - Mario Maas
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam Movement Sciences, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Adam Mester
- Department of Radiology, National Institute of Rheumatology and Physiotherapy, Budapest, Hungary
| | - Edwin Oei
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center (Erasmus MC), Rotterdam, The Netherlands
| | - Amaka C Offiah
- Academic Unit of Child Health, University of Sheffield, Western Bank, Sheffield, UK
| | - Patrick Omoumi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
| | | | | | | | - Paolo Simoni
- Department of Radiology, Reine Fabiola Children's University Hospital of Bruxelles, University of Bruxelles, Brussels, Belgium
| | - Iwona Sudoł-Szopińska
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation and Department of Medical Imaging, Medical University of Warsaw, Warsaw, Poland
| | | | - James Teh
- Department of Radiology, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Lennart Jans
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium
| | - Karen Rosendahl
- Department of Radiology, University Hospital of North Norway, Tromsø, Norway
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12
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De Jaeghere EA, Laloo F, Lippens L, Van Bockstal M, De Man K, Naert E, Van Dorpe J, Van de Vijver K, Tummers P, Makar A, De Visschere PJL, De Wever O, Amant F, Denys HG, Vandecasteele K. Splenic 18F-FDG uptake on baseline PET/CT is associated with oncological outcomes and tumor immune state in uterine cervical cancer. Gynecol Oncol 2020; 159:335-343. [PMID: 32859399 DOI: 10.1016/j.ygyno.2020.08.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 08/02/2020] [Indexed: 12/30/2022]
Abstract
OBJECTIVE The spleen represents an important contributor to tumor immune escape, but the relevance of increased splenic metabolic activity remains to be fully elucidated. METHODS We retrospectively measured the spleen-to-liver standard uptake value (SLR) on 18F-FDG PET/CT examinations of 92 consecutive patients with FIGO stage IB1 to IVA cervical cancer and integrated the results with survival, response to treatment, tumor immune infiltrate, and baseline characteristics. RESULTS SLRmax > 0.92 (p = .026) and SLRmean > 0.94 (p = .005) were significantly associated with decreased DFS in univariable analysis. Multivariable models were built using best subset selection; ΔSLRmax and either SLRmax or SLRmean were consistently selected, strongly reinforcing the association between SLR variables and DFS in relation to potential confounders (all models p ≤ .002). Independent associations were found for SLRmax using multivariable Cox regression models for DFS (all p ≤ .003). Further, uni- and multivariable analyses demonstrated the negative impact of higher SLR values on pathological complete response. A statistically significant higher proportion of patients with high SLRmax had a dense infiltrate of CD20+ (p = .036) and CD68+ (p = .015) immune cells, as well as PD-L1+ tumor cells (p = .019) as compared to those with low SLRmax. Finally, high SLRmax status was neither associated with systemic inflammatory markers (except for an increased white blood cell count; p = .038), nor with clinically overt infection. CONCLUSION This hypothesis-generating study provides the first evidence that increased splenic metabolic activity is a negative prognostic and predictive biomarker in locally advanced cervical cancer. In addition, it might help to discriminate immunologically 'hot' from 'cold' cervical tumors.
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Affiliation(s)
- Emiel A De Jaeghere
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium; Laboratory of Experimental Cancer Research (LECR), Department of Human Structure and Repair, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium.
| | - Frederiek Laloo
- Radiology and Nuclear Medicine, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Lien Lippens
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium; Laboratory of Experimental Cancer Research (LECR), Department of Human Structure and Repair, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium
| | | | - Kathia De Man
- Radiology and Nuclear Medicine, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Eline Naert
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium
| | - Jo Van Dorpe
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Pathology, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Koen Van de Vijver
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Pathology, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Philippe Tummers
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Gynecology, Department of Human Structure and Repair, Ghent University Hospital, Belgium
| | - Amin Makar
- Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Gynecology, Department of Human Structure and Repair, Ghent University Hospital, Belgium
| | - Pieter J L De Visschere
- Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Radiology and Nuclear Medicine, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Olivier De Wever
- Laboratory of Experimental Cancer Research (LECR), Department of Human Structure and Repair, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium
| | - Frédéric Amant
- Centers Gynecologic Oncology Amsterdam, Netherlands Cancer Institute and Amsterdam University Medical Center, Amsterdam, The Netherlands; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Hannelore G Denys
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium
| | - Katrien Vandecasteele
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Radiation Oncology, Department of Human Structure and Repair, Ghent University Hospital, Belgium
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13
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De Jaeghere E, Laloo F, Lippens L, De Man K, Van Bockstal M, Van de Vijver K, Tummers P, Makar A, De Visschere P, De Wever O, Amant F, Denys H, Vandecasteele K. Splenic metabolic activity as biomarker in cervical cancer. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz239.062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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14
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Laloo F, Herregods N, Jaremko JL, Carron P, Elewaut D, Van den Bosch F, Verstraete K, Jans L. MRI of the axial skeleton in spondyloarthritis: the many faces of new bone formation. Insights Imaging 2019; 10:67. [PMID: 31338670 PMCID: PMC6650523 DOI: 10.1186/s13244-019-0752-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 05/14/2019] [Indexed: 12/17/2022] Open
Abstract
Spondyloarthritis has two hallmark features: active inflammation and structural lesions with new bone formation. MRI is well suited to assess active inflammation, but there is increasing interest in the role of structural lesions at MRI. Recent MRI studies have examined the established features of new bone formation and demonstrated some novel features which show diagnostic value and might even have potential as possible markers of disease progression. Although MRI is not the first imaging modality that comes into mind for assessment of bony changes, these features of new bone formation can be detected on MRI—if one knows how to recognize them. This review illustrates the MRI features of new bone formation and addresses possible pitfalls.
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Affiliation(s)
- Frederiek Laloo
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
| | - Nele Herregods
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Jacob L Jaremko
- Department of Radiology & Diagnostic Imaging, University of Alberta Hospital, 8440-112 Street, Edmonton, Alberta, T6G 2B7, Canada
| | - Philippe Carron
- Department of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.,VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University, Technologiepark 927, 9052, Ghent, Belgium
| | - Dirk Elewaut
- Department of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.,VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University, Technologiepark 927, 9052, Ghent, Belgium
| | - Filip Van den Bosch
- Department of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.,VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University, Technologiepark 927, 9052, Ghent, Belgium
| | - Koenraad Verstraete
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Lennart Jans
- Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
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15
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Laloo F, Herregods N, Jaremko JL, Verstraete K, Jans L. MRI of the sacroiliac joints in spondyloarthritis: the added value of intra-articular signal changes for a 'positive MRI'. Skeletal Radiol 2018; 47:683-693. [PMID: 29177804 DOI: 10.1007/s00256-017-2830-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 11/12/2017] [Accepted: 11/15/2017] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine if intra-articular signal changes at the sacroiliac joint space on MRI have added diagnostic value for spondyloarthritis, when compared to bone marrow edema (BME). MATERIALS AND METHODS A retrospective study was performed on the MRIs of sacroiliac joints of 363 patients, aged 16-45 years, clinically suspected of sacroiliitis. BME of the sacroiliac joints was correlated to intra-articular sacroiliac joint MR signal changes: high T1 signal, fluid signal, ankylosis and vacuum phenomenon (VP). These MRI findings were correlated with final clinical diagnosis. Sensitivity (SN), specificity (SP), likelihood ratios (LR), predictive values and post-test probabilities were calculated. RESULTS BME had SN of 68.9%, SP of 74.0% and LR+ of 2.6 for diagnosis of spondyloarthritis. BME in absence of intra-articular signal changes had a lower SN and LR+ for spondyloarthritis (SN = 20.5%, LR+ 1.4). Concomitant BME and high T1 signal (SP = 97.2%, LR + = 10.5), BME and fluid signal (SP = 98.6%, LR + = 10.3) or BME and ankylosis (SP = 100%) had higher SP and LR+ for spondyloarthritis. Concomitant BME and VP had low LR+ for spondyloarthritis (SP = 91%, LR + =0.9). When BME was absent, intra-articular signal changes were less prevalent, but remained highly specific for spondyloarthritis. CONCLUSION Our results suggest that both periarticular and intra-articular MR signal of the sacroiliac joint should be examined to determine whether an MRI is 'positive' or 'not positive' for sacroiliitis associated with spondyloarthritis.
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Affiliation(s)
- Frederiek Laloo
- Department of Radiology and Medical Imaging, Ghent University Hospital, De Pintelaan 185, B-9000, Ghent, Belgium.
| | - N Herregods
- Department of Radiology and Medical Imaging, Ghent University Hospital, De Pintelaan 185, B-9000, Ghent, Belgium
| | - J L Jaremko
- Department of Radiology & Diagnostic Imaging, University of Alberta Hospital, 8440-112 Street, Edmonton, AB, T6G 2B7, Canada
| | - K Verstraete
- Department of Radiology and Medical Imaging, Ghent University Hospital, De Pintelaan 185, B-9000, Ghent, Belgium
| | - L Jans
- Department of Radiology and Medical Imaging, Ghent University Hospital, De Pintelaan 185, B-9000, Ghent, Belgium
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