Pub Date : 2024-09-01Epub Date: 2024-02-08DOI: 10.1007/s00256-024-04585-8
Heike E Daldrup-Link, Vidyani Suryadevara, Yasemin Tanyildizi, Kerem Nernekli, Jian-Hong Tang, Thomas J Meade
Senescent cells play a vital role in the pathogenesis of musculoskeletal (MSK) diseases, such as chronic inflammatory joint disorders, rheumatoid arthritis (RA), and osteoarthritis (OA). Cellular senescence in articular joints represents a response of local cells to persistent stress that leads to cell-cycle arrest and enhanced production of inflammatory cytokines, which in turn perpetuates joint damage and leads to significant morbidities in afflicted patients. It has been recently discovered that clearance of senescent cells by novel "senolytic" therapies can attenuate the chronic inflammatory microenvironment of RA and OA, preventing further disease progression and supporting healing processes. To identify patients who might benefit from these new senolytic therapies and monitor therapy response, there is an unmet need to identify and map senescent cells in articular joints and related musculoskeletal tissues. To fill this gap, new imaging biomarkers are being developed to detect and characterize senescent cells in human joints and musculoskeletal tissues. This review article will provide an overview of these efforts. New imaging biomarkers for senescence cells are expected to significantly improve the specificity of state-of-the-art imaging technologies for diagnosing musculoskeletal disorders.
{"title":"Musculoskeletal imaging of senescence.","authors":"Heike E Daldrup-Link, Vidyani Suryadevara, Yasemin Tanyildizi, Kerem Nernekli, Jian-Hong Tang, Thomas J Meade","doi":"10.1007/s00256-024-04585-8","DOIUrl":"10.1007/s00256-024-04585-8","url":null,"abstract":"<p><p>Senescent cells play a vital role in the pathogenesis of musculoskeletal (MSK) diseases, such as chronic inflammatory joint disorders, rheumatoid arthritis (RA), and osteoarthritis (OA). Cellular senescence in articular joints represents a response of local cells to persistent stress that leads to cell-cycle arrest and enhanced production of inflammatory cytokines, which in turn perpetuates joint damage and leads to significant morbidities in afflicted patients. It has been recently discovered that clearance of senescent cells by novel \"senolytic\" therapies can attenuate the chronic inflammatory microenvironment of RA and OA, preventing further disease progression and supporting healing processes. To identify patients who might benefit from these new senolytic therapies and monitor therapy response, there is an unmet need to identify and map senescent cells in articular joints and related musculoskeletal tissues. To fill this gap, new imaging biomarkers are being developed to detect and characterize senescent cells in human joints and musculoskeletal tissues. This review article will provide an overview of these efforts. New imaging biomarkers for senescence cells are expected to significantly improve the specificity of state-of-the-art imaging technologies for diagnosing musculoskeletal disorders.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11303117/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139703369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-01-04DOI: 10.1007/s00256-023-04555-6
Daniel I Rosenthal
The future will bring increasing demands for specialty training of MSK radiologists. These will include requirements for further standardization of curriculum, educational methods, and documentation. This will place further burdens (both temporal and financial) on the fellowship programs and may lead to termination of some programs. There is a risk that increasingly bureaucratic training requirements may "crowd out" the basic conceptual education necessary for the continued growth and relevance of the subspecialty. Educators must find ways to incorporate these aspects into programs even when they are not mandated.
{"title":"Preparing MSK radiologists of the future.","authors":"Daniel I Rosenthal","doi":"10.1007/s00256-023-04555-6","DOIUrl":"10.1007/s00256-023-04555-6","url":null,"abstract":"<p><p>The future will bring increasing demands for specialty training of MSK radiologists. These will include requirements for further standardization of curriculum, educational methods, and documentation. This will place further burdens (both temporal and financial) on the fellowship programs and may lead to termination of some programs. There is a risk that increasingly bureaucratic training requirements may \"crowd out\" the basic conceptual education necessary for the continued growth and relevance of the subspecialty. Educators must find ways to incorporate these aspects into programs even when they are not mandated.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139088270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-03-16DOI: 10.1007/s00256-024-04640-4
Feliks Kogan, Daehyun Yoon, Matthew G Teeter, Abhijit J Chaudhari, Laurel Hales, Marco Barbieri, Garry E Gold, Yael Vainberg, Ananya Goyal, Lauren Watkins
Musculoskeletal (MSK) disorders are associated with large impacts on patient's pain and quality of life. Conventional morphological imaging of tissue structure is limited in its ability to detect pain generators, early MSK disease, and rapidly assess treatment efficacy. Positron emission tomography (PET), which offers unique capabilities to evaluate molecular and metabolic processes, can provide novel information about early pathophysiologic changes that occur before structural or even microstructural changes can be detected. This sensitivity not only makes it a powerful tool for detection and characterization of disease, but also a tool able to rapidly assess the efficacy of therapies. These benefits have garnered more attention to PET imaging of MSK disorders in recent years. In this narrative review, we discuss several applications of multimodal PET imaging in non-oncologic MSK diseases including arthritis, osteoporosis, and sources of pain and inflammation. We also describe technical considerations and recent advancements in technology and radiotracers as well as areas of emerging interest for future applications of multimodal PET imaging of MSK conditions. Overall, we present evidence that the incorporation of PET through multimodal imaging offers an exciting addition to the field of MSK radiology and will likely prove valuable in the transition to an era of precision medicine.
肌肉骨骼(MSK)疾病对患者的疼痛和生活质量有很大影响。传统的组织结构形态学成像在检测疼痛发生器、早期 MSK 疾病和快速评估治疗效果方面能力有限。正电子发射断层扫描(PET)具有评估分子和新陈代谢过程的独特功能,可提供有关早期病理生理变化的新信息,这些变化发生在结构甚至微观结构变化被检测到之前。这种灵敏度不仅使其成为检测和描述疾病的有力工具,还能快速评估治疗效果。近年来,这些优点使 MSK 疾病的 PET 成像受到更多关注。在这篇叙述性综述中,我们将讨论多模态 PET 成像在非肿瘤性 MSK 疾病中的几种应用,包括关节炎、骨质疏松症以及疼痛和炎症源。我们还介绍了技术考虑因素、技术和放射性核素的最新进展,以及 MSK 疾病多模式 PET 成像未来应用的新兴趣领域。总之,我们提出的证据表明,通过多模态成像结合 PET 为 MSK 放射学领域增添了令人兴奋的内容,在向精准医学时代过渡的过程中很可能被证明是有价值的。
{"title":"Multimodal positron emission tomography (PET) imaging in non-oncologic musculoskeletal radiology.","authors":"Feliks Kogan, Daehyun Yoon, Matthew G Teeter, Abhijit J Chaudhari, Laurel Hales, Marco Barbieri, Garry E Gold, Yael Vainberg, Ananya Goyal, Lauren Watkins","doi":"10.1007/s00256-024-04640-4","DOIUrl":"10.1007/s00256-024-04640-4","url":null,"abstract":"<p><p>Musculoskeletal (MSK) disorders are associated with large impacts on patient's pain and quality of life. Conventional morphological imaging of tissue structure is limited in its ability to detect pain generators, early MSK disease, and rapidly assess treatment efficacy. Positron emission tomography (PET), which offers unique capabilities to evaluate molecular and metabolic processes, can provide novel information about early pathophysiologic changes that occur before structural or even microstructural changes can be detected. This sensitivity not only makes it a powerful tool for detection and characterization of disease, but also a tool able to rapidly assess the efficacy of therapies. These benefits have garnered more attention to PET imaging of MSK disorders in recent years. In this narrative review, we discuss several applications of multimodal PET imaging in non-oncologic MSK diseases including arthritis, osteoporosis, and sources of pain and inflammation. We also describe technical considerations and recent advancements in technology and radiotracers as well as areas of emerging interest for future applications of multimodal PET imaging of MSK conditions. Overall, we present evidence that the incorporation of PET through multimodal imaging offers an exciting addition to the field of MSK radiology and will likely prove valuable in the transition to an era of precision medicine.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140140649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-07-09DOI: 10.1007/s00256-024-04734-z
Xiaojuan Li, Jeehun Kim, Mingrui Yang, Ahmet H Ok, Štefan Zbýň, Thomas M Link, Sharmilar Majumdar, C Benjamin Ma, Kurt P Spindler, Carl S Winalski
Articular cartilage damage and degeneration are among hallmark manifestations of joint injuries and arthritis, classically osteoarthritis. Cartilage compositional MRI (Cart-C MRI), a quantitative technique, which aims to detect early-stage cartilage matrix changes that precede macroscopic alterations, began development in the 1990s. However, despite the significant advancements over the past three decades, Cart-C MRI remains predominantly a research tool, hindered by various technical and clinical hurdles. This paper will review the technical evolution of Cart-C MRI, delve into its clinical applications, and conclude by identifying the existing gaps and challenges that need to be addressed to enable even broader clinical application of Cart-C MRI.
{"title":"Cartilage compositional MRI-a narrative review of technical development and clinical applications over the past three decades.","authors":"Xiaojuan Li, Jeehun Kim, Mingrui Yang, Ahmet H Ok, Štefan Zbýň, Thomas M Link, Sharmilar Majumdar, C Benjamin Ma, Kurt P Spindler, Carl S Winalski","doi":"10.1007/s00256-024-04734-z","DOIUrl":"10.1007/s00256-024-04734-z","url":null,"abstract":"<p><p>Articular cartilage damage and degeneration are among hallmark manifestations of joint injuries and arthritis, classically osteoarthritis. Cartilage compositional MRI (Cart-C MRI), a quantitative technique, which aims to detect early-stage cartilage matrix changes that precede macroscopic alterations, began development in the 1990s. However, despite the significant advancements over the past three decades, Cart-C MRI remains predominantly a research tool, hindered by various technical and clinical hurdles. This paper will review the technical evolution of Cart-C MRI, delve into its clinical applications, and conclude by identifying the existing gaps and challenges that need to be addressed to enable even broader clinical application of Cart-C MRI.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11303573/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141559637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-07-06DOI: 10.1007/s00256-024-04737-w
John A Carrino, Hamza Ibad, Yenpo Lin, Elena Ghotbi, Joshua Klein, Shadpour Demehri, Filippo Del Grande, Eric Bogner, Mikael P Boesen, Jeffrey H Siewerdsen
Computed tomography (CT) is a common modality employed for musculoskeletal imaging. Conventional CT techniques are useful for the assessment of trauma in detection, characterization and surgical planning of complex fractures. CT arthrography can depict internal derangement lesions and impact medical decision making of orthopedic providers. In oncology, CT can have a role in the characterization of bone tumors and may elucidate soft tissue mineralization patterns. Several advances in CT technology have led to a variety of acquisition techniques with distinct clinical applications. These include four-dimensional CT, which allows examination of joints during motion; cone-beam CT, which allows examination during physiological weight-bearing conditions; dual-energy CT, which allows material decomposition useful in musculoskeletal deposition disorders (e.g., gout) and bone marrow edema detection; and photon-counting CT, which provides increased spatial resolution, decreased radiation, and material decomposition compared to standard multi-detector CT systems due to its ability to directly translate X-ray photon energies into electrical signals. Advanced acquisition techniques provide higher spatial resolution scans capable of enhanced bony microarchitecture and bone mineral density assessment. Together, these CT acquisition techniques will continue to play a substantial role in the practices of orthopedics, rheumatology, metabolic bone, oncology, and interventional radiology.
{"title":"CT in musculoskeletal imaging: still helpful and for what?","authors":"John A Carrino, Hamza Ibad, Yenpo Lin, Elena Ghotbi, Joshua Klein, Shadpour Demehri, Filippo Del Grande, Eric Bogner, Mikael P Boesen, Jeffrey H Siewerdsen","doi":"10.1007/s00256-024-04737-w","DOIUrl":"10.1007/s00256-024-04737-w","url":null,"abstract":"<p><p>Computed tomography (CT) is a common modality employed for musculoskeletal imaging. Conventional CT techniques are useful for the assessment of trauma in detection, characterization and surgical planning of complex fractures. CT arthrography can depict internal derangement lesions and impact medical decision making of orthopedic providers. In oncology, CT can have a role in the characterization of bone tumors and may elucidate soft tissue mineralization patterns. Several advances in CT technology have led to a variety of acquisition techniques with distinct clinical applications. These include four-dimensional CT, which allows examination of joints during motion; cone-beam CT, which allows examination during physiological weight-bearing conditions; dual-energy CT, which allows material decomposition useful in musculoskeletal deposition disorders (e.g., gout) and bone marrow edema detection; and photon-counting CT, which provides increased spatial resolution, decreased radiation, and material decomposition compared to standard multi-detector CT systems due to its ability to directly translate X-ray photon energies into electrical signals. Advanced acquisition techniques provide higher spatial resolution scans capable of enhanced bony microarchitecture and bone mineral density assessment. Together, these CT acquisition techniques will continue to play a substantial role in the practices of orthopedics, rheumatology, metabolic bone, oncology, and interventional radiology.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141538518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-02-27DOI: 10.1007/s00256-024-04621-7
Patrick Debs, Shivani Ahlawat, Laura M Fayad
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.
{"title":"Bone tumors: state-of-the-art imaging.","authors":"Patrick Debs, Shivani Ahlawat, Laura M Fayad","doi":"10.1007/s00256-024-04621-7","DOIUrl":"10.1007/s00256-024-04621-7","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139973384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-01-17DOI: 10.1007/s00256-024-04584-9
D Baumhoer, J Hench, F Amary
The molecular characterization of soft tissue and bone tumors is a rapidly evolving field that has changed the perspective of how these tumors are diagnosed today. Morphology and clinico-radiological context still represent the cornerstone of diagnostic considerations but are increasingly complemented by molecular data that aid in objectifying and confirming the classification. The spectrum of analyses comprises mutation or gene fusion specific immunohistochemical antibodies, fluorescence in situ hybridization, DNA and RNA sequencing as well as CpG methylation profiling. This article provides an overview of which tools are presently available to characterize bone and soft tissue neoplasms molecularly, what limitations should be considered, and what conclusions can be drawn from the individual findings.
{"title":"Recent advances in molecular profiling of bone and soft tissue tumors.","authors":"D Baumhoer, J Hench, F Amary","doi":"10.1007/s00256-024-04584-9","DOIUrl":"10.1007/s00256-024-04584-9","url":null,"abstract":"<p><p>The molecular characterization of soft tissue and bone tumors is a rapidly evolving field that has changed the perspective of how these tumors are diagnosed today. Morphology and clinico-radiological context still represent the cornerstone of diagnostic considerations but are increasingly complemented by molecular data that aid in objectifying and confirming the classification. The spectrum of analyses comprises mutation or gene fusion specific immunohistochemical antibodies, fluorescence in situ hybridization, DNA and RNA sequencing as well as CpG methylation profiling. This article provides an overview of which tools are presently available to characterize bone and soft tissue neoplasms molecularly, what limitations should be considered, and what conclusions can be drawn from the individual findings.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11303483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139479206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-06-20DOI: 10.1007/s00256-024-04684-6
Huibert C Ruitenbeek, Edwin H G Oei, Jacob J Visser, Richard Kijowski
This article will provide a perspective review of the most extensively investigated deep learning (DL) applications for musculoskeletal disease detection that have the best potential to translate into routine clinical practice over the next decade. Deep learning methods for detecting fractures, estimating pediatric bone age, calculating bone measurements such as lower extremity alignment and Cobb angle, and grading osteoarthritis on radiographs have been shown to have high diagnostic performance with many of these applications now commercially available for use in clinical practice. Many studies have also documented the feasibility of using DL methods for detecting joint pathology and characterizing bone tumors on magnetic resonance imaging (MRI). However, musculoskeletal disease detection on MRI is difficult as it requires multi-task, multi-class detection of complex abnormalities on multiple image slices with different tissue contrasts. The generalizability of DL methods for musculoskeletal disease detection on MRI is also challenging due to fluctuations in image quality caused by the wide variety of scanners and pulse sequences used in routine MRI protocols. The diagnostic performance of current DL methods for musculoskeletal disease detection must be further evaluated in well-designed prospective studies using large image datasets acquired at different institutions with different imaging parameters and imaging hardware before they can be fully implemented in clinical practice. Future studies must also investigate the true clinical benefits of current DL methods and determine whether they could enhance quality, reduce error rates, improve workflow, and decrease radiologist fatigue and burnout with all of this weighed against the costs.
{"title":"Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade.","authors":"Huibert C Ruitenbeek, Edwin H G Oei, Jacob J Visser, Richard Kijowski","doi":"10.1007/s00256-024-04684-6","DOIUrl":"10.1007/s00256-024-04684-6","url":null,"abstract":"<p><p>This article will provide a perspective review of the most extensively investigated deep learning (DL) applications for musculoskeletal disease detection that have the best potential to translate into routine clinical practice over the next decade. Deep learning methods for detecting fractures, estimating pediatric bone age, calculating bone measurements such as lower extremity alignment and Cobb angle, and grading osteoarthritis on radiographs have been shown to have high diagnostic performance with many of these applications now commercially available for use in clinical practice. Many studies have also documented the feasibility of using DL methods for detecting joint pathology and characterizing bone tumors on magnetic resonance imaging (MRI). However, musculoskeletal disease detection on MRI is difficult as it requires multi-task, multi-class detection of complex abnormalities on multiple image slices with different tissue contrasts. The generalizability of DL methods for musculoskeletal disease detection on MRI is also challenging due to fluctuations in image quality caused by the wide variety of scanners and pulse sequences used in routine MRI protocols. The diagnostic performance of current DL methods for musculoskeletal disease detection must be further evaluated in well-designed prospective studies using large image datasets acquired at different institutions with different imaging parameters and imaging hardware before they can be fully implemented in clinical practice. Future studies must also investigate the true clinical benefits of current DL methods and determine whether they could enhance quality, reduce error rates, improve workflow, and decrease radiologist fatigue and burnout with all of this weighed against the costs.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141432690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-01-17DOI: 10.1007/s00256-024-04586-7
Andrew J Kantzos, Laura M Fayad, Jad El Abiad, Shivani Ahlawat, Samir Sabharwal, Max Vaynrub, Carol D Morris
The surgical management of extremity bone and soft tissue sarcomas has evolved significantly over the last 50 years. The introduction and refinement of high-resolution cross-sectional imaging has allowed accurate assessment of anatomy and tumor extent, and in the current era more than 90% of patients can successfully undergo limb-salvage surgery. Advances in imaging have also revolutionized the clinician's ability to assess treatment response, detect metastatic disease, and perform intraoperative surgical navigation. This review summarizes the broad and essential role radiology plays in caring for sarcoma patients from diagnosis to post-treatment surveillance. Present evidence-based imaging paradigms are highlighted along with key future directions.
{"title":"The role of imaging in extremity sarcoma surgery.","authors":"Andrew J Kantzos, Laura M Fayad, Jad El Abiad, Shivani Ahlawat, Samir Sabharwal, Max Vaynrub, Carol D Morris","doi":"10.1007/s00256-024-04586-7","DOIUrl":"10.1007/s00256-024-04586-7","url":null,"abstract":"<p><p>The surgical management of extremity bone and soft tissue sarcomas has evolved significantly over the last 50 years. The introduction and refinement of high-resolution cross-sectional imaging has allowed accurate assessment of anatomy and tumor extent, and in the current era more than 90% of patients can successfully undergo limb-salvage surgery. Advances in imaging have also revolutionized the clinician's ability to assess treatment response, detect metastatic disease, and perform intraoperative surgical navigation. This review summarizes the broad and essential role radiology plays in caring for sarcoma patients from diagnosis to post-treatment surveillance. Present evidence-based imaging paradigms are highlighted along with key future directions.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139486360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-05-25DOI: 10.1007/s00256-024-04697-1
Hillary W Garner
Multidisciplinary collaboration and radiology-pathology correlation are key components to advancing our knowledge and understanding of musculoskeletal disease and improving clinical care. The International Skeletal Society was founded on this principle and in its 50-year history it has successfully cultivated a globally recognized and respected Annual Meeting and Refresher Course to foster interest and share expertise in musculoskeletal disorders. The Society's consistent efforts for outreach and intersociety connections with MSK societies around the world have further strengthened its heritage. This look back on the Society's first 50 years recounts how it all started, where it has been, and provides insights on its promising future, not only in its support for education and scientific discovery, but also in its enrichment of precision medicine.
{"title":"The International Skeletal Society: a look back at 50 years of multidisciplinary expertise, collaboration, and education in musculoskeletal health and disease.","authors":"Hillary W Garner","doi":"10.1007/s00256-024-04697-1","DOIUrl":"10.1007/s00256-024-04697-1","url":null,"abstract":"<p><p>Multidisciplinary collaboration and radiology-pathology correlation are key components to advancing our knowledge and understanding of musculoskeletal disease and improving clinical care. The International Skeletal Society was founded on this principle and in its 50-year history it has successfully cultivated a globally recognized and respected Annual Meeting and Refresher Course to foster interest and share expertise in musculoskeletal disorders. The Society's consistent efforts for outreach and intersociety connections with MSK societies around the world have further strengthened its heritage. This look back on the Society's first 50 years recounts how it all started, where it has been, and provides insights on its promising future, not only in its support for education and scientific discovery, but also in its enrichment of precision medicine.</p>","PeriodicalId":21783,"journal":{"name":"Skeletal Radiology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141097008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}