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Siddiq BS, Rambo A, Sheffer B, Ejiofor V, Naser AM, McGee T, Warner WC, Kelly DM. Rate of Unexpected Findings in Adolescent Lumbar Magnetic Resonance Imagings Ordered by Orthopaedic Surgeons. JOURNAL OF THE PEDIATRIC ORTHOPAEDIC SOCIETY OF NORTH AMERICA 2025; 11:100183. [PMID: 40432870 PMCID: PMC12088290 DOI: 10.1016/j.jposna.2025.100183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Revised: 03/13/2025] [Accepted: 03/13/2025] [Indexed: 05/29/2025]
Abstract
Background The use of advanced imaging in children is increasing and unexpected findings (UFs) are often detected. The present literature lacks studies investigating the rate of UFs in pediatric lumbar spine magnetic resonance imagings (MRIs) and the sequelae of these findings. This study aimed to determine the overall incidence of UFs in adolescent lumbar MRIs, characterize these findings, stratify UFs based on patient characteristics, and determine any influences on patient treatment plans. Methods Medical records of 1409 patients aged 10 to 18.5 years old that had a lumbar MRI ordered by an orthopaedic surgeon from 2010 to 2020 were reviewed retrospectively. Demographics, insurance, reason for MRI, and change in treatment plans were noted. Unexpected findings were characterized as spinal cord, infra-peritoneal, retroperitoneal, peritoneal, or vascular-related. The relationship between patient characteristics and UFs was investigated using a t test and Chi-square test. The statistical relationships between UFs and treatment plan changes were evaluated using generalized linear models with a log link and a binomial error distribution. Results The average age of the 1409 patients was 15.5 years (95% CI: 15.4, 15.6). Back pain (90.1%) was the most common reason for lumbar MRI. Thirty-five UFs were found in 33 patients (2.3%): 19 were spinal cord-related, 15 were peritoneal-related, and one was vascular. Eight peritoneal findings involved the kidneys: two atrophy, two hypoplasia, two renal cysts, one pelvic kidney, and one hydronephrosis. Five patients had a syrinx, and two had spine tumors. Out of 33 patients with UFs, 11 required a change in treatment plan (33.3%). Back pain was not associated with an increased risk of UF. Patients with an UF on MRI had 2.60 times higher odds of experiencing a change in treatment plan. Conclusions The prevalence of UFs was 2.5% on lumbar MRIs and were mainly spinal cord or retroperitoneal-related. UFs were associated with an altered treatment plan 33% of the time and were unrelated to standard demographic characteristics or insurance type. Key Concepts (1)Overall, 33.3% of patients with an unexpected finding had a change in treatment plan.(2)Unexpected findings should be interpreted in the context of the patient's overall clinical picture, symptoms, and health to help elucidate the next steps in treatment.(3)The clinical significance of unexpected findings needs to be further studied. Level of Evidence Level III, Retrospective.
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Affiliation(s)
- Bilal S. Siddiq
- Department of Orthopaedic Surgery and Biomedical Engineering, University of Tennessee Health Science Center − Campbell Clinic, Memphis, TN, USA
- Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Anna Rambo
- Department of Orthopaedic Surgery and Biomedical Engineering, University of Tennessee Health Science Center − Campbell Clinic, Memphis, TN, USA
| | - Benjamin Sheffer
- Department of Orthopaedic Surgery and Biomedical Engineering, University of Tennessee Health Science Center − Campbell Clinic, Memphis, TN, USA
| | - Vania Ejiofor
- Department of Orthopaedic Surgery and Biomedical Engineering, University of Tennessee Health Science Center − Campbell Clinic, Memphis, TN, USA
| | - Abu M. Naser
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Trevor McGee
- Radiology Department, Baptist Memorial Hospital, Memphis, TN, USA
| | - William C. Warner
- Department of Orthopaedic Surgery and Biomedical Engineering, University of Tennessee Health Science Center − Campbell Clinic, Memphis, TN, USA
| | - Derek M. Kelly
- Department of Orthopaedic Surgery and Biomedical Engineering, University of Tennessee Health Science Center − Campbell Clinic, Memphis, TN, USA
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Mayer A, Brandon TG, Aggarwal A, Burgos-Vargas R, Colbert RA, Horneff G, Joos R, Laxer RM, Minden K, Ravelli A, Ruperto N, Smith JA, Stoll ML, Tse SM, Van den Bosch F, Maksymowych WP, Lambert RG, Biko DM, Chauvin NA, Francavilla ML, Jaremko JL, Herregods N, Kasapcopur O, Yildiz M, Srinivasalu H, Faerber JA, Naden R, Hendry AM, Weiss PF. Effect of Characteristic Inflammatory and Structural Pelvic Magnetic Resonance Imaging Lesions on Expert Assessment of Axial Juvenile Spondyloarthritis. J Rheumatol 2025; 52:165-172. [PMID: 39814440 PMCID: PMC11788049 DOI: 10.3899/jrheum.2024-0696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/11/2024] [Indexed: 01/18/2025]
Abstract
OBJECTIVE To evaluate the influence of pelvic magnetic resonance imaging (MRI) findings on axial disease assessment in juvenile spondyloarthritis (JSpA). METHODS This was a cross-sectional study of patients with JSpA with suspected axial disease. Three experts reviewed each case and rated their confidence (-3 to +3) in the presence of axial disease, first with clinical data and second with clinical and MRI data. Agreement was defined as ≥ 2/3 clinical experts with a rating of ≤ -1 or ≥ 1, and high confidence agreement as ≤ -2 or ≥ 2. The association of clinical features and both global assessments was tested with modified Poisson regression models. RESULTS Two hundred seventy-two of 303 cases (89.8%) achieved agreement with clinical data alone. Adding imaging data affected agreement in 38.9% (118/303) and directionality of agreement in 23.4% (71/303). Agreement was facilitated in 26/31 cases and lost in 21/272 cases. Of those 71 cases that changed directionality, 33 changed from axial disease being absent to present and 38 from present to absent. The final model had an area under the receiver-operating characteristic (AUROC) curve of 0.93 and 3 factors were independently associated with expert agreement (HLA-B27: relative risk [RR] 1.41, 95% CI 1.14-1.74; pain improvement with activity: RR 1.27, 95% CI 1.05-1.54; and bone marrow edema on MRI: RR 4.08, 95% CI 2.91-5.73). CONCLUSION The addition of imaging data affected directionality and improved high confidence agreement of expert assessment of axial disease. These results underscore the integral role of MRI in the determination of axial disease in JSpA.
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Affiliation(s)
- Adam Mayer
- A. Mayer, MD, Department of Pediatrics, Division of Rheumatology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Timothy G Brandon
- T.G. Brandon, MPH, Department of Pediatrics, Division of Rheumatology and Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Amita Aggarwal
- A. Aggarwal, MD, DM, Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Ruben Burgos-Vargas
- R. Burgos-Vargas, MD, Department of Rheumatology, Hospital General de Mexico Dr Eduardo Ligeaga, Mexico City, Mexico
| | - Robert A Colbert
- R.A. Colbert, MD, PhD, National Institute of Arthritis, Musculoskeletal, and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Gerd Horneff
- G. Horneff, MD, Department of General Paediatrics, Asklepios Klinik Sankt Augustin, Sankt Augustin, and Department of Pediatric and Adolescent Medicine, University Hospital Cologne, Cologne, Germany
| | - Rik Joos
- R. Joos, MD, University Hospital Gent, Ghent, and Department of Rheumatology, ZNA, Antwerp, Belgium
| | - Ronald M Laxer
- R.M. Laxer, MDCM, University of Toronto, The Hospital for Sick Children, and St. Michael's Hospital, Toronto, Ontario, Canada
| | - Kirsten Minden
- K. Minden, MD, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, and Deutsches Rheuma-Forschungszentrum Berlin, Berlin, Germany
| | - Angelo Ravelli
- A. Ravelli, MD, Direzione Scientifica, IRCCS Istituto Giannina Gaslini, and Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili (DINOGMI), Università degli Studi di Genova, Genoa, Italy
| | - Nicolino Ruperto
- N. Ruperto, MD, MPH, Università Milano Bicocca, Fondazione IRCCS San Gerardo dei Tintori, PRINTO, Monza, Italy
| | - Judith A Smith
- J.A. Smith, MD, PhD, Department of Pediatrics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Matthew L Stoll
- M.L. Stoll, MD, PhD, MSCS, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Shirley M Tse
- S.M. Tse, MD, Department of Paediatrics, Division of Rheumatology, The Hospital for Sick Children (SickKids), University of Toronto, Toronto, Ontario, Canada
| | - Filip Van den Bosch
- F. Van den Bosch, MD, PhD, VIB-UGent Center for Inflammation Research, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium
| | - Walter P Maksymowych
- W.P. Maksymowych, MD, Department of Medicine, University of Alberta, and CARE Arthritis, Edmonton, Alberta, Canada
| | - Robert G Lambert
- R.G. Lambert, MB BCh, Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada
| | - David M Biko
- D.M. Biko, MD, Department of Radiology, Children's Hospital of Philadelphia and Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nancy A Chauvin
- N.A. Chauvin, MD, Department of Radiology, Penn State Health Milton S. Hershey Children's Hospital, Hershey, Pennsylvania, USA
| | - Michael L Francavilla
- M.L. Francavilla, MD, Department of Radiology, Whiddon College of Medicine, University of South Alabama, Mobile, Alabama, USA
| | - Jacob L Jaremko
- J.L. Jaremko, MD, PhD, Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada
| | - Nele Herregods
- N. Herregods, MD, PhD, Department of Radiology and Nuclear Medicine, Ghent University Hospital, Ghent, Belgium
| | - Ozgur Kasapcopur
- O. Kasapcopur, MD, M. Yildiz, MD, Department of Pediatric Rheumatology, Istanbul University-Cerrahpasa, Cerrahpasa Medical School, Istanbul, Turkey
| | - Mehmet Yildiz
- O. Kasapcopur, MD, M. Yildiz, MD, Department of Pediatric Rheumatology, Istanbul University-Cerrahpasa, Cerrahpasa Medical School, Istanbul, Turkey
| | - Hemalatha Srinivasalu
- H. Srinivasalu, MD, Division of Rheumatology, Children's National Hospital, George Washington University School of Medicine, Washington, DC, and Pediatric Translational Research Branch, National Institute of Arthritis, Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Jennifer A Faerber
- J.A. Faerber, PhD, Data Science and Biostatistics Unit, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Ray Naden
- R. Naden, MD, Departments of Medicine/Obstetric Medicine, Auckland City Hospital, Auckland, New Zealand, and McMaster University, Hamilton, Ontario, Canada
| | - Alison M Hendry
- A.M. Hendry, General Medicine and Rheumatology, Division of Medicine, Counties Manukau District Health Board, Auckland, New Zealand
| | - Pamela F Weiss
- P.F. Weiss, MD, MSCE, Department of Pediatrics, Division of Rheumatology and Clinical Futures, Children's Hospital of Philadelphia and Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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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: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [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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