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Park C, Azhideh A, Pooyan A, Alipour E, Haseli S, Satwah I, Chalian M. Diagnostic performance and inter-reader reliability of bone reporting and data system (Bone-RADS) on computed tomography. Skeletal Radiol 2025; 54:209-217. [PMID: 38853160 DOI: 10.1007/s00256-024-04721-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 05/30/2024] [Accepted: 06/04/2024] [Indexed: 06/11/2024]
Abstract
OBJECTIVE To evaluate the diagnostic performance and inter-reader reliability of the Bone Reporting and Data System (Bone-RADS) for solitary bone lesions on CT. MATERIALS AND METHODS This retrospective analysis included 179 patients (mean age, 56 ± 18 years; 94 men) who underwent bone biopsies between March 2005 and September 2021. Patients with solitary bone lesions on CT and sufficient histopathology results were included. Two radiologists categorized the bone lesions using the Bone-RADS (1, benign; 4, malignant). The diagnostic performance of the Bone-RADS was calculated using histopathology results as a standard reference. Inter-reader reliability was calculated. RESULTS Bone lesions were categorized into two groups: 103 lucent (pathology: 34 benign, 12 intermediate, 54 malignant, and 3 osteomyelitis) and 76 sclerotic/mixed (pathology: 46 benign, 2 intermediate, 26 malignant, and 2 osteomyelitis) lesions. The Bone-RADS for lucent lesions had sensitivities of 95% and 82%, specificities of 11% and 11%, and accuracies of 57% and 50% for readers 1 and 2, respectively. The Bone-RADS for sclerotic/mixed lesions had sensitivities of 75% and 68%, specificities of 27% and 27%, and accuracies of 45% and 42% for readers 1 and 2, respectively. Inter-reader reliability was moderate to very good (κ = 0.744, overall; 0.565, lucent lesions; and 0.851, sclerotic/mixed lesions). CONCLUSION Bone-RADS has a high sensitivity for evaluating malignancy in lucent bone lesions and good inter-reader reliability. However, it has poor specificity and accuracy for both lucent and sclerotic/mixed lesions. A possible explanation is that proposed algorithms heavily depend on clinical features such as pain and history of malignancy.
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Affiliation(s)
- Chankue Park
- Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
- OncoRad Research Core, Department of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Arash Azhideh
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
- OncoRad Research Core, Department of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Atefe Pooyan
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
- OncoRad Research Core, Department of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ehsan Alipour
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
- OncoRad Research Core, Department of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Sara Haseli
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
- OncoRad Research Core, Department of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ishan Satwah
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Majid Chalian
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA.
- OncoRad Research Core, Department of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA.
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Park SY, Yoon MA, Lee MH, Lee SH, Chung HW. Validation of American College of Radiology Bone Reporting and Data System (Bone-RADS) Version 2023 for diagnosis of malignant tumors of appendicular bone on conventional radiographs. Eur J Radiol 2025; 183:111861. [PMID: 39637582 DOI: 10.1016/j.ejrad.2024.111861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Revised: 11/14/2024] [Accepted: 11/26/2024] [Indexed: 12/07/2024]
Abstract
PURPOSE To evaluate the diagnostic performance of the American College of Radiology(ACR) Bone Reporting and Data System (Bone-RADS) in diagnosis of malignant tumors of the appendicular bone on conventional radiographs. METHODS Primary and secondary tumors of appendicular bone in patients who underwent radiographic and MRI examinations were classified into benign, intermediate, and malignant using a reference standard of histopathology, imaging follow-up, or clinical-radiologic consensus. Two radiologists assessed five radiographic features (margin, periosteal reaction, endosteal erosion, pathologic fracture, and extra-osseous mass), scored point total (points from radiographic features and a history of cancer), and assigned Bone-RADS categories. The diagnostic performance of Bone-RADS and interreader agreements were calculated. RESULTS A total of 778 patients (507 benign, 45 intermediate, and 226 malignant tumors) were included. Bone-RADS showed high discrimination performance, with areas under the receiver-operating characteristics curve of 0.940-0.957 for point total and 0.895-0.900 for categorization. Bone-RADS had high sensitivity (95.2 %-99.1 %) and negative predictive value (NPV) (96.4 %-99.5 %), but relatively low specificity (65.0 %-68.6 %) and positive predictive value (PPV) (53.7 %-61.9 %). Interreader agreements were good to excellent for Bone-RADS point total (ICC = 0.850), categorization (k = 0.739), and most of the radiographic features (k = 0.621-0.822), except for endosteal erosion (k = 0.537) and extra-osseous mass (k = 0.234). CONCLUSION In diagnosis of malignant bone tumors, ACR Bone-RADS showed high discrimination performance, with high sensitivity and NPV, but relatively low specificity and PPV. Nevertheless, relatively low interobserver agreement in some radiographic features and the consensus-based points system in Bone-RADS warrant further research and possible updates.
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Affiliation(s)
- Sun-Young Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea
| | - Min A Yoon
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea.
| | - Min Hee Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea
| | - Sang Hoon Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea
| | - Hye Won Chung
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea
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Haseli S, Park C, Azhideh A, Karande G, Chalian M. Performance and reliability comparison: original vs. revised bone reporting and data system (Bone-RADS). Skeletal Radiol 2025:10.1007/s00256-025-04865-x. [PMID: 39838067 DOI: 10.1007/s00256-025-04865-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Revised: 12/23/2024] [Accepted: 12/26/2024] [Indexed: 01/23/2025]
Abstract
OBJECTIVE To propose a revised bone reporting and data system (Bone-RADS) and evaluate its diagnostic performance and inter-reader reliability compared to the original Bone-RADS for solitary bone lesions on CT. MATERIALS AND METHODS This retrospective study included 159 adult patients (mean age: 56 ± 19 years; 88 men) who underwent bone biopsy for solitary bone lesions between March 2005 and September 2021. Two radiologists (R1/2) independently categorized the lesions twice, once using the original Bone-RADS and once using the revised version. Lesions were classified as follows: (1, benign; 2, incompletely assessed; 3, indeterminate; 4, malignancy or requiring treatment). The revised Bone-RADS excluded the original criteria for lesion related pain and history of malignancy. Diagnostic performance was assessed using histopathology as the reference standard, and inter-reader reliability was analyzed. RESULTS The bone lesions included 96 lucent and 63 sclerotic/mixed lesions. Sensitivity showed no significant difference between the original and revised Bone-RADS for both readers across lucent and sclerotic/mixed lesions (all P ≥ .05). However, the specificity of the revised Bone-RADS was significantly higher than that of the original (lucent: 11% vs. 50% [R1], 11% vs. 46% [R2]; sclerotic/mixed: 32% vs. 92% [R1], 32% vs. 86% [R2]). Other performance metrics, including positive/negative predictive value and accuracy, were also higher in the revised Bone-RADS. Inter-reader reliability was higher for the revised Bone-RADS compared to the original (κ = .744 vs .854). CONCLUSION The revised Bone-RADS significantly improved specificity while maintaining sensitivity compared to the original version.
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Affiliation(s)
- Sara Haseli
- Department of Radiology, Division of Musculoskeletal Imaging and Intervention, University of Washington, Seattle, WA, USA
- OncoRad Research Core, Department of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Chankue Park
- Department of Radiology, Division of Musculoskeletal Imaging and Intervention, University of Washington, Seattle, WA, USA
- Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Arash Azhideh
- Department of Radiology, Division of Musculoskeletal Imaging and Intervention, University of Washington, Seattle, WA, USA
| | - Gita Karande
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore
| | - Majid Chalian
- Department of Radiology, Division of Musculoskeletal Imaging and Intervention, University of Washington, Seattle, WA, USA.
- OncoRad Research Core, Department of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA.
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Ramadan ZA, Elmorsy AH, Taman SE, Denewar FA. Inter-observer and intra-observer agreement of bone reporting and data system (Bone-RADS) in the interpretation of bone tumors on computed tomography. Clin Imaging 2025; 117:110367. [PMID: 39602845 DOI: 10.1016/j.clinimag.2024.110367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Revised: 11/17/2024] [Accepted: 11/18/2024] [Indexed: 11/29/2024]
Abstract
OBJECTIVE To assess inter-observer & intra-observer agreement of the American College of Radiology (ACR) bone reporting and data system (Bone-RADS) in the interpretation of bone tumors on computed tomography (CT). METHODS This retrospective study included 273 bone tumors 184 (67.4 %) benign and 89 (32.6 %) malignant. Two blinded radiologists independently reviewed the CT images to assess the defined CT features of bone lesions and assign a bone-RADS category. A third observer reviewed the CT images twice with one month interval and reported the specified CT features and final bone-RADS category for bone lesions. Inter-observer and intra-observer agreement of bone-RADS were analyzed. RESULTS There was almost perfect inter-observer agreement between the two reviewers for all defined variables as well as bone-RADS categories (Kappa = 92.2 %). Overall intra-observer agreement was also perfect for all defined CT features and bone RADS categories with higher percentage than inter-observer one (κ = 98.3 %). CONCLUSION Bone-RADS is an effective clinical tool for practicing radiologists in the risk assessment and management of bone tumors with perfect agreement among observers. To our knowledge, no studies have been conducted for assessing reliability or validity of the recent ACR Bone-RADS using CT. Hence, this study could serve as a cornerstone for further upcoming studies to assess the reproducibility and validity of the ACR Bone-RADS.
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Affiliation(s)
- Zainab Ahmad Ramadan
- Department of Radiology, Faculty of Medicine, Mansoura University, El-Mansoura 35516, Egypt.
| | - Amel Helmy Elmorsy
- Department of Radiology, Faculty of Medicine, Mansoura University, El-Mansoura 35516, Egypt.
| | - Saher Ebrahim Taman
- Department of Radiology, Faculty of Medicine, Mansoura University, El-Mansoura 35516, Egypt.
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Wu H, Liu L, Zhuang J, Zhong G, Wei S, Zeng L, Zi Y, Xu F, Yao M, Zhang Y. Implementation of a new classification and stratification system for solitary bone tumour: osseous tumour radiological and interpretation and management system. Br J Radiol 2024; 97:1992-2003. [PMID: 39302655 DOI: 10.1093/bjr/tqae188] [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] [Received: 12/19/2023] [Revised: 05/03/2024] [Accepted: 09/06/2024] [Indexed: 09/22/2024] Open
Abstract
OBJECTIVES To propose a histological-grades-based Osseous Tumor Radiological and Interpretation and Management System (OT-RIMS) that would simplify the radiological evaluation of bone tumours, categorize key radiological features into severity levels, and inform corresponding patient management actions. METHODS This retrospective study between January 2015 and August 2022 evaluated patients with solitary bone tumours confirmed by pathology and imaging follow-up received 2 or 3 imaging modalities of radiographs, CT, or MRI. Three radiologists independently assessed radiological features, categorized bone lesions based on OT-RIMS criteria, and reached a consensus. Kappa statistics and observed agreement were calculated. RESULTS A total of 341 patients (mean age, 26.0 years; 159 women) were included, with 102 malignant, 177 benign, and 62 intermediate or low-grade malignant bone lesions. Sensitivity and specificity of readers 1, 2, and 3, respectively, in the identification of malignant tumours into OT-RIMS 4 were 93.1% (95 of 102) and 93.3% (223 of 239), 96.1% (98 of 102) and 91.6% (219 of 239), 92.2% (94 of 102) and 89.5% (214 of 239). Inter-reader agreement of OT-RIMS category for 3 readers was considered excellent (Kendall's W = 0.924, P < .001) with a kappa value of reproducibility in categories 1&2, 3, and 4 of 0.764, 0.528, and 0.930, respectively. CONCLUSIONS The OT-RIMS category demonstrated excellent reproducibility despite the reader's expertise level in categorizing the risk stratification of bone tumours and informing patient management, with histological grades used as the reference standard. ADVANCES IN KNOWLEDGE The OT-RIMS category reliably stratifies bone tumours into 4 categories corresponding to histological grades and standardized patient management.
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Affiliation(s)
- Haijun Wu
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, PR China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China
| | - Lin Liu
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, PR China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China
- Medical College Postgraduate College, Shantou University, Shantou, Guangdong 515041, PR China
| | - Jiachun Zhuang
- Department of Radiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, PR China
| | - Guimian Zhong
- Department of Radiology, Guangzhou Panyu Center Hospital, Guangzhou, Guangdong 511400, PR China
| | - Shasha Wei
- Department of Radiology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, Guizhou 550003, PR China
| | - Liujin Zeng
- Department of Radiology, Heyuan People's Hospital, Heyuan, Guangdong 514011, PR China
| | - Yunyan Zi
- Department of Medical Imaging, Fuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Kunming, Yunnan 650000, PR China
| | - Fangping Xu
- Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, PR China
| | - Mengyu Yao
- Department of Orthopedics, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, PR China
| | - Yu Zhang
- Department of Orthopedics, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, PR China
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Bert H, Lamrous H, Sena MVDA. Living with a tumor: A case of osteosarcoma involving the medullary region in Phrynops cf. P. geoffroanus (Testudines: Chelidae). Anat Rec (Hoboken) 2024; 307:3355-3363. [PMID: 38549040 DOI: 10.1002/ar.25437] [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] [Received: 01/09/2024] [Revised: 03/04/2024] [Accepted: 03/11/2024] [Indexed: 10/12/2024]
Abstract
The individual Geoffroy's side-necked turtle, Phrynops cf. P. geoffroanus, was diagnosed postmortem with osteosarcoma associated with the forelimb through morphological and histological analysis. Osteosarcoma stands as the most prevalent primary malignant bone tumor in tetrapods. The tumor presents itself as a large mass in the distal epiphysis, characterized by spicular outgrowths and a rugose external texture. Histologically, the afflicted humerus displayed a high degree of vascularity and exhibited an extensive bone resorption process involving the medullary and endosteal regions. Notably, a clear transition between the bone marrow and cortical bone was absent, indicative of a remodeling process featuring Haversian bone system apposition. Additionally, the diaphyseal region displayed the progression of neoplastic bone tissue along the bone. For comparative purposes, we describe a humeral thin section from a healthy specimen revealing compact primary bone interrupted by cyclical growth marks which differs from the continuous growth observed in the neoplastic humerus. To assess the neoplastic bone growth rate at the mid-diaphysis level, phylogenetic eigenvector maps (PEM) were employed, utilizing osteocyte density and vascular density as explanatory variables. The findings indicated that the osteosarcoma exhibited a slow-growing nature, suggesting that the turtle had to live with this condition for years. As the neoplasia continued to expand, it likely led to disadvantages for the pathological Phrynops individual due to humeral deformity. Furthermore, malignancy was associated with angiogenesis and the invasion of the medullary region by neoplastic bone tissue, raising the likelihood of metastasis as an additional factor contributing to the individual's sickness. The presence of numerous vascular canals in the diaphyseal thin section suggested a low-grade central osteosarcoma. It is worth noting that osseous neoplasms are rarely documented in Testudines, making this case of osteosarcoma in a South American freshwater chelid specimen a unique and rare occurrence.
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Affiliation(s)
- Hugo Bert
- LGL-TPE, CNRS UMR5276, ENSL, Univ Lyon, Villeurbanne, France
| | - Hayat Lamrous
- Sorbonne Université, Muséum national d'Histoire naturelle, CNRS, Centre de recherche en paléontologie - Paris (CR2P, UMR 7207), Paris, France
| | - Mariana Valéria de Araújo Sena
- Sorbonne Université, Muséum national d'Histoire naturelle, CNRS, Centre de recherche en paléontologie - Paris (CR2P, UMR 7207), Paris, France
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Crombé A, Simonetti M, Longhi A, Hauger O, Fadli D, Spinnato P. Imaging of Osteosarcoma: Presenting Findings, Metastatic Patterns, and Features Related to Prognosis. J Clin Med 2024; 13:5710. [PMID: 39407770 PMCID: PMC11477067 DOI: 10.3390/jcm13195710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Revised: 09/11/2024] [Accepted: 09/16/2024] [Indexed: 10/20/2024] Open
Abstract
Background: Osteosarcomas are rare malignancies (<1% of all cancers) that produce an osteoid matrix. Osteosarcomas are the second most frequent type of primary bone tumor after multiple myeloma and the most prevalent primary bone tumor in children. The spectrum of imaging findings of these malignancies varies significantly, reflecting different histological subtypes. For instance, conventional osteosarcoma typically presents with a mixed radiological pattern (lytic and bone mineralization) or with a completely eburneous one; aggressive periosteal reactions such as sunburst, Codman triangle, and soft-tissue components are frequently displayed. On the other hand, telangiectatic osteosarcoma usually presents as a purely lytic lesion with multiple fluid-fluid levels on MRI fluid-sensitive sequences. Other typical and atypical radiological patterns of presentation in other subtypes of osteosarcomas are described in this review. In addition to the characteristics associated with osteosarcoma subtyping, this review article also focuses on imaging features that have been associated with patient outcomes, namely response to chemotherapy and event-free and overall survivals. This includes simple semantic radiological features (such as tumor dimensions, anatomical location with difficulty of radical surgery, occurrence of pathological fractures, and presence of distant metastases), but also quantitative imaging parameters from diffusion-weighted imaging, dynamic contrast-enhanced MRI, and 18F-FDG positron emission tomography and radiomics approaches. Other particular features are described in the text. Overall, this comprehensive literature review aims to be a practical tool for oncologists, pathologists, surgeons, and radiologists involved in these patients' care.
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Affiliation(s)
- Amandine Crombé
- SARCOTARGET Team, Bordeaux Research Institute in Oncology (BRIC) INSERM U1312 & University of Bordeaux, F-33076 Bordeaux, France;
- Department of Skeletal Radiology, Pellegrin University Hospital, F-33076 Bordeaux, France
- Department of Radiology, Institut Bergonié, F-33076 Bordeaux, France
| | - Mario Simonetti
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy;
| | - Alessandra Longhi
- Osteoncology, Bone and Soft Tissue Sarcomas, and Innovative Therapies, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy;
| | - Olivier Hauger
- Department of Skeletal Radiology, Pellegrin University Hospital, F-33076 Bordeaux, France
| | - David Fadli
- Department of Skeletal Radiology, Pellegrin University Hospital, F-33076 Bordeaux, France
| | - Paolo Spinnato
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy;
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Debs P, Ahlawat S, Fayad LM. Bone tumors: state-of-the-art imaging. Skeletal Radiol 2024; 53:1783-1798. [PMID: 38409548 DOI: 10.1007/s00256-024-04621-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/06/2024] [Accepted: 02/11/2024] [Indexed: 02/28/2024]
Abstract
Imaging plays a central role in the management of patients with bone tumors. A number of imaging modalities are available, with different techniques having unique applications that render their use advantageous for various clinical purposes. Coupled with detailed clinical assessment, radiological imaging can assist clinicians in reaching a proper diagnosis, determining appropriate management, evaluating response to treatment, and monitoring for tumor recurrence. Although radiography is still the initial imaging test of choice for a patient presenting with a suspected bone tumor, technological innovations in the last decades have advanced the role of other imaging modalities for assessing bone tumors, including advances in computed tomography, magnetic resonance imaging, scintigraphy, and hybrid imaging techniques that combine two existing modalities, providing clinicians with diverse tools for bone tumor imaging applications. Determining the most suitable modality to use for a particular application requires familiarity with the modality in question, its advancements, and its limitations. This review highlights the various imaging techniques currently available and emphasizes the latest developments in imaging, offering a framework that can help guide the imaging of patients with bone tumors.
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Affiliation(s)
- Patrick Debs
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Medical Institutions, 600 North Wolfe Street, Baltimore, MD, 21287, USA
| | - Shivani Ahlawat
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Medical Institutions, 600 North Wolfe Street, Baltimore, MD, 21287, USA
| | - Laura M Fayad
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Medical Institutions, 600 North Wolfe Street, Baltimore, MD, 21287, USA.
- Division of Orthopaedic Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 North Caroline Street, JHOC 3014, Baltimore, MD, 21287, USA.
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González-Huete A, Salgado-Parente A, Suevos-Ballesteros C, Antolinos-Macho E, Ventura-Díaz S, Michael-Fernández A, Blázquez-Sánchez J, Acosta-Batlle J. Radiographic Evaluation of Bone Tumors. Radiographics 2023; 43:e230048. [PMID: 37824409 DOI: 10.1148/rg.230048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Affiliation(s)
- Abel González-Huete
- From the Department of Radiology, Hospital Universitario Ramón y Cajal, Ctra de Colmenar Viejo km 9,100, Madrid 28034, Spain
| | - Alba Salgado-Parente
- From the Department of Radiology, Hospital Universitario Ramón y Cajal, Ctra de Colmenar Viejo km 9,100, Madrid 28034, Spain
| | - Carlos Suevos-Ballesteros
- From the Department of Radiology, Hospital Universitario Ramón y Cajal, Ctra de Colmenar Viejo km 9,100, Madrid 28034, Spain
| | - Elisa Antolinos-Macho
- From the Department of Radiology, Hospital Universitario Ramón y Cajal, Ctra de Colmenar Viejo km 9,100, Madrid 28034, Spain
| | - Sofía Ventura-Díaz
- From the Department of Radiology, Hospital Universitario Ramón y Cajal, Ctra de Colmenar Viejo km 9,100, Madrid 28034, Spain
| | - Antonio Michael-Fernández
- From the Department of Radiology, Hospital Universitario Ramón y Cajal, Ctra de Colmenar Viejo km 9,100, Madrid 28034, Spain
| | - Javier Blázquez-Sánchez
- From the Department of Radiology, Hospital Universitario Ramón y Cajal, Ctra de Colmenar Viejo km 9,100, Madrid 28034, Spain
| | - José Acosta-Batlle
- From the Department of Radiology, Hospital Universitario Ramón y Cajal, Ctra de Colmenar Viejo km 9,100, Madrid 28034, Spain
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Hoffman RJ, Stanborough RO, Garner HW. Diagnostic Imaging Approach to Solitary Bone Lesions. Semin Roentgenol 2022; 57:241-251. [DOI: 10.1053/j.ro.2022.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/12/2022] [Accepted: 01/16/2022] [Indexed: 11/11/2022]
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Ribeiro GJ, Gillet R, Hossu G, Trinh JM, Euxibie E, Sirveaux F, Blum A, Teixeira PAG. Solitary bone tumor imaging reporting and data system (BTI-RADS): initial assessment of a systematic imaging evaluation and comprehensive reporting method. Eur Radiol 2021; 31:7637-7652. [PMID: 33765161 DOI: 10.1007/s00330-021-07745-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 01/01/2021] [Accepted: 02/04/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Identify the most pertinent imaging features for solitary bone tumor characterization using a multimodality approach and propose a systematic evaluation system. METHODS Data from a prospective trial, including 230 participants with histologically confirmed bone tumors, typical "do not touch" lesions, and stable chondral lesions, were retrospectively evaluated. Clinical data, CT, and MR imaging features were analyzed by a musculoskeletal radiologist blinded to the diagnosis using a structured report. The benign-malignant distribution of lesions bearing each image feature evaluated was compared to the benign-malignant distribution in the study sample. Benign and malignant indicators were identified. Two additional readers with different expertise levels independently evaluated the study sample. RESULTS The sample included 140 men and 90 women (mean age 40.7 ± 18.3 years). The global benign-malignant distribution was 67-33%. Seven imaging features reached the criteria for benign indicators with a mean frequency of benignancy of 94%. Six minor malignant indicators were identified with a mean frequency of malignancy of 60.5%. Finally, three major malignant indicators were identified (Lodwick-Madewell grade III, aggressive periosteal reaction, and suspected metastatic disease) with a mean frequency of malignancy of 82.4%. A bone tumor imaging reporting and data system (BTI-RADS) was proposed. The reproducibility of the BTI-RADS was considered fair (kappa = 0.67) with a mean frequency of malignancy in classes I, II, III, and IV of 0%, 2.2%, 20.1%, and 71%, respectively. CONCLUSION BTI-RADS is an evidence-based systematic approach to solitary bone tumor characterization with a fair reproducibility, allowing lesion stratification in classes of increasing malignancy frequency. TRIAL REGISTRATION Clinical trial number NCT02895633 . KEY POINTS • The most pertinent CT and MRI criteria allowing bone tumor characterization were defined and presented. • Lodwick-Madewell grade III, aggressive periosteal reaction, and suspected metastatic disease should be considered major malignant indicators associated with a frequency of malignancy over 75%. • The proposed evidence-based multimodality reporting system stratifies solitary bone tumors in classes with increasing frequencies of malignancy.
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Affiliation(s)
- Guilherme Jaquet Ribeiro
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 Avenue du Maréchal de Lattre de Tassigny, 54035, Nancy Cedex, France.
| | - Romain Gillet
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 Avenue du Maréchal de Lattre de Tassigny, 54035, Nancy Cedex, France
| | - Gabriela Hossu
- Université de Lorraine, Inserm, IADI, F-54000, Nancy, France
| | - Jean-Michel Trinh
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 Avenue du Maréchal de Lattre de Tassigny, 54035, Nancy Cedex, France
| | - Eve Euxibie
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 Avenue du Maréchal de Lattre de Tassigny, 54035, Nancy Cedex, France
| | - François Sirveaux
- Emile Gallé Surgical Center, Regional University Hospital Center of Nancy, Nancy, France
| | - Alain Blum
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 Avenue du Maréchal de Lattre de Tassigny, 54035, Nancy Cedex, France
| | - Pedro Augusto Gondim Teixeira
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 Avenue du Maréchal de Lattre de Tassigny, 54035, Nancy Cedex, France
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Using Machine Learning to Unravel the Value of Radiographic Features for the Classification of Bone Tumors. BIOMED RESEARCH INTERNATIONAL 2021; 2021:8811056. [PMID: 33791381 PMCID: PMC7984886 DOI: 10.1155/2021/8811056] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 11/05/2020] [Accepted: 03/03/2021] [Indexed: 11/17/2022]
Abstract
Objectives To build and validate random forest (RF) models for the classification of bone tumors based on the conventional radiographic features of the lesion and patients' clinical characteristics, and identify the most essential features for the classification of bone tumors. Materials and Methods In this retrospective study, 796 patients (benign bone tumors: 412 cases, malignant bone tumors: 215 cases, intermediate bone tumors: 169 cases) with pathologically confirmed bone tumors from Nanfang Hospital of Southern Medical University, Foshan Hospital of TCM, and University of Hong Kong-Shenzhen Hospital were enrolled. RF models were built to classify tumors as benign, malignant, or intermediate based on conventional radiographic features and potentially relevant clinical characteristics extracted by three musculoskeletal radiologists with ten years of experience. SHapley Additive exPlanations (SHAP) was used to identify the most essential features for the classification of bone tumors. The diagnostic performance of the RF models was quantified using receiver operating characteristic (ROC) curves. Results The features extracted by the three radiologists had a satisfactory agreement and the minimum intraclass correlation coefficient (ICC) was 0.761 (CI: 0.686-0.824, P < .001). The binary and tertiary models were built to classify tumors as benign, malignant, or intermediate based on the imaging and clinical features from 627 and 796 patients. The AUC of the binary (19 variables) and tertiary (22 variables) models were 0.97 and 0.94, respectively. The accuracy of binary and tertiary models were 94.71% and 82.77%, respectively. In descending order, the most important features influencing classification in the binary model were margin, cortex involvement, and the pattern of bone destruction, and the most important features in the tertiary model were margin, high-density components, and cortex involvement. Conclusions This study developed interpretable models to classify bone tumors with great performance. These should allow radiographers to identify imaging features that are important for the classification of bone tumors in the clinical setting.
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Abstract
Clinicians, including practitioners in primary care and across numerous specialties, are essential to the interpretation of imaging for correlating clinical presentation with fracture identification on plain radiographs. A comprehensive review of radiographs lets clinicians document findings accurately and communicate these findings to colleagues, specialists, and patients. This article reviews fracture terminology that clinicians need to provide better understanding of the injury and direct appropriate management.
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Moreira FC, Aihara AY, Lederman HM, Pisa IT, Tenório JM. Cognitive map to support the diagnosis of solitary bone tumors in pediatric patients. Radiol Bras 2018; 51:297-302. [PMID: 30369656 PMCID: PMC6198841 DOI: 10.1590/0100-3984.2017.0121] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Abstract
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Affiliation(s)
- Felipe Costa Moreira
- Department of Health Informatics, Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-Unifesp), São Paulo, SP, Brazil
| | - André Yui Aihara
- Department of Diagnostic Imaging, Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-Unifesp), São Paulo, SP, Brazil
| | - Henrique Manoel Lederman
- Department of Diagnostic Imaging, Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-Unifesp), São Paulo, SP, Brazil
| | - Ivan Torres Pisa
- Department of Health Informatics, Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-Unifesp), São Paulo, SP, Brazil
| | - Josceli Maria Tenório
- Department of Health Informatics, Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-Unifesp), São Paulo, SP, Brazil
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15
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Kantilaras AP. Role of Ultrasound in the Diagnosis Approach of Malignant Solitary Fibrous Tumor. JOURNAL OF DIAGNOSTIC MEDICAL SONOGRAPHY 2018. [DOI: 10.1177/8756479318781779] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This is a case study of solitary fibrous tumor (SFT), which is a rare neoplasm of mesenchymal origin that comprises less than 2% of all soft tissue tumors. SFT located in the extremities, especially in the legs, has a high possibility of developing malignancy. The case study presented demonstrates a sonogram which identified an inhomogenous hypoechoic solid lesion located in the subcutaneous layer of the femoral region. The use of Doppler showed hypervascular activity in the hyperechoic area. This finding was consistent with malignant SFT and confirmed by histopathologic exam. The possibility of an SFT should be a diagnostic consideration with any large soft tissue mass in extremities. This is a further consideration with the diagnostic medical sonography findings demonstrating a hypoechoic, well-defined mass that has a large collateral feeding vessel and displaces the adjacent structures.
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McGlynn HKM, Montanes-Gonzalvo M, Malgosa A, Piga G, Isidro A. A case of enchondroma from Carolingian necropolis of St. Pere De Terrassa (Spain): An insight into the archaeological record. INTERNATIONAL JOURNAL OF PALEOPATHOLOGY 2018; 20:85-89. [PMID: 29496221 DOI: 10.1016/j.ijpp.2017.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Revised: 10/19/2017] [Accepted: 10/27/2017] [Indexed: 06/08/2023]
Abstract
Enchondromas occur with an estimated modern incidence rate of 27.7% of benign bone tumors (Hauben and Hogendoorn, 2010), but few are represented in the paleopathological record. The medieval site of St. Pere in Spain has produced a convincing case. The diagnosis was confirmed by X-Ray, CT-scan and μ-CT scan. Therefore UF 755 from St. Pere - a male of more than 60 years old - can be confirmed as a femoral case of enchondroma, supported by evidence, in the paleopathological record.
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Affiliation(s)
- Hannah K M McGlynn
- Unitat d'Antropologia Biològica, Department BABVE, Facultat de Biociències, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Miriam Montanes-Gonzalvo
- Unitat d'Antropologia Biològica, Department BABVE, Facultat de Biociències, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Assumpció Malgosa
- Unitat d'Antropologia Biològica, Department BABVE, Facultat de Biociències, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Giampaolo Piga
- POLCOMING, Department of Political Science, Communication, Engineering and Information Technologies, University of Sassari, Sassari, Italy
| | - Albert Isidro
- Unitat d'Antropologia Biològica, Department BABVE, Facultat de Biociències, Universitat Autònoma de Barcelona, Barcelona, Spain; Hospital Universitari Sagrat Cor de Barcelona, Barcelona, Spain
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