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Lin J, Zhang H, Shang H. Convolutional Neural Network Incorporating Multiple Attention Mechanisms for MRI Classification of Lumbar Spinal Stenosis. Bioengineering (Basel) 2024; 11:1021. [PMID: 39451397 PMCID: PMC11504910 DOI: 10.3390/bioengineering11101021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 10/06/2024] [Accepted: 10/11/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND Lumbar spinal stenosis (LSS) is a common cause of low back pain, especially in the elderly, and accurate diagnosis is critical for effective treatment. However, manual diagnosis using MRI images is time consuming and subjective, leading to a need for automated methods. OBJECTIVE This study aims to develop a convolutional neural network (CNN)-based deep learning model integrated with multiple attention mechanisms to improve the accuracy and robustness of LSS classification via MRI images. METHODS The proposed model is trained on a standardized MRI dataset sourced from multiple institutions, encompassing various lumbar degenerative conditions. During preprocessing, techniques such as image normalization and data augmentation are employed to enhance the model's performance. The network incorporates a Multi-Headed Self-Attention Module, a Slot Attention Module, and a Channel and Spatial Attention Module, each contributing to better feature extraction and classification. RESULTS The model achieved 95.2% classification accuracy, 94.7% precision, 94.3% recall, and 94.5% F1 score on the validation set. Ablation experiments confirmed the significant impact of the attention mechanisms in improving the model's classification capabilities. CONCLUSION The integration of multiple attention mechanisms enhances the model's ability to accurately classify LSS in MRI images, demonstrating its potential as a tool for automated diagnosis. This study paves the way for future research in applying attention mechanisms to the automated diagnosis of lumbar spinal stenosis and other complex spinal conditions.
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Affiliation(s)
- Juncai Lin
- School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - Honglai Zhang
- School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - Hongcai Shang
- School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou 510006, China
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China
- Key Laboratory of Chinese Internal Medicine of Ministry of Education, Beijing University of Chinese Medicine, Beijing 100700, China
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Verheijen EJA, van Haagen OBHAM, Bartels EC, van der Sloot K, van den Akker-van Marle ME, Steyerberg EW, Vleggeert-Lankamp CLA. Prediction of transforaminal epidural injection success in sciatica (POTEISS): a protocol for the development of a multivariable prediction model for outcome after transforaminal epidural steroid injection in patients with lumbar radicular pain due to disc herniation or stenosis. BMC Neurol 2024; 24:290. [PMID: 39164613 PMCID: PMC11334316 DOI: 10.1186/s12883-024-03801-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 08/12/2024] [Indexed: 08/22/2024] Open
Abstract
BACKGROUND Transforaminal epidural injections (TEI) can alleviate symptoms and help to maintain physical functioning and quality of life in patients with lumbar radicular pain. We aim to develop a prediction model for patient outcome after TEI in patients suffering from unilateral lumbar radicular pain due to lumbar disc herniation (LDH) or single-level spinal stenosis (LSS). The secondary aim is to estimate short-term patient outcome differences between LDH and LSS patients, the association between psychological variables and patient outcome, the rate of additional injections, surgery and complications, and to explore the short-term cost-effectiveness of TEI. METHODS This study is designed as a multi-centre, observational, prospective cohort study in two large regional hospitals in the Netherlands. Patients diagnosed with unilateral lumbar radicular pain secondary to LDH or LSS and congruent with MRI findings, who are referred for TEI along usual care pathways, are eligible for study participation. A total of 388 patients with LDH or LSS will be included. A pre-defined set of demographic, clinical and radiological variables will be used as the predictors in the model. The primary outcome measure is the Numerical Rating Scale (NRS) for leg pain. Secondary outcome measures include back pain, physical functioning, perceived recovery, pain coping strategies, anxiety and depression and use of analgesics and physical therapy. Patients will be evaluated at baseline, 2 weeks and 6 weeks after treatment. NRS leg pain and Likert perceived recovery data will be used as the dependent variables in a generalized linear mixed model for prediction of TEI outcome, with internal validation of performance (explained variation) by bootstrap resampling. Cost-effectiveness for a period of 6 weeks prior to and after treatment will be performed with decision-analytic modelling. DISCUSSION Patients with severe lumbar radicular pain often request additional treatment when conservative care is insufficient. TEI can offer relief of symptoms. Currently, it is not possible to predict responsiveness to this treatment for individual patients. This study is designed to explore predictors that can differentiate between patients that will and will not have a positive outcome after TEI. This information may support treatment strategies for this patient group. TRIAL REGISTRATION This study is registered at ClinicalTrials.gov database under registry number NCT04540068 on September 1, 2020.
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Affiliation(s)
- E J A Verheijen
- Department of Neurosurgery, Leiden University Medical Center, Albinusdreef 2, PO Box 9600, 2300 RC, Leiden, the Netherlands.
- Department of Neurosurgery, Spaarne Hospital, Haarlem, the Netherlands.
| | | | - E C Bartels
- Department of Anaesthesiology, Spaarne Hospital, Haarlem, the Netherlands
| | - K van der Sloot
- Department of Anaesthesiology, Groene Hart Hospital, Gouda, the Netherlands
| | | | - E W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - C L A Vleggeert-Lankamp
- Department of Neurosurgery, Leiden University Medical Center, Albinusdreef 2, PO Box 9600, 2300 RC, Leiden, the Netherlands
- Department of Neurosurgery, Spaarne Hospital, Haarlem, the Netherlands
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Cai H, Omara C, Vleggeert-Lankamp CLA. Association Between Radiological Severity of Lumbar Spinal Stenosis and Spinopelvic Parameters in Adult Patients With Achondroplasia. Neurosurgery 2024:00006123-990000000-01178. [PMID: 38809018 DOI: 10.1227/neu.0000000000003007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 03/29/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Adults with achondroplasia are more vulnerable to suffer from neurogenic claudication because of a congenital narrow spinal canal, which makes them susceptible to lumbar spinal stenosis (LSS). The study aims to investigate the correlations between sagittal alignment parameters and the degree of LSS in patients with achondroplasia with LSS. METHODS The radiological data of adult achondroplasts presented to the neurosurgical clinic of our medical center from 2019 to 2022 were collected. Lumbar stenosis was graded using the Schizas scale, and the dural sac cross-sectional area (DSCA) was measured. The angles defining the spinopelvic parameters comprising lumbar lordosis, thoracolumbar kyphosis, sagittal vertical axis, pelvic tilt, sacral slope, and pelvic incidence were measured. Spearman or Pearson correlation was used to investigate the association between sagittal misalignment and LSS. RESULTS A total of 34 achondroplastics were enrolled, with a median age of 44.3 ± 15.5 years, ranging from 18.6 to 78.5 years. Larger thoracolumbar kyphosis was associated with more severe stenosis according to the Schizas scale of the L12 lumbar level (r = 0.44, P = .020, 95% CI [0.08, 0.70]). Larger sagittal vertical axis correlated with a smaller DSCA at L23 (r = -0.53, P = .036, 95% CI [-0.81, -0.04]) and L45 (r = -0.66, P = .004, 95% CI [-0.87, -0.26]). Larger pelvic tilt was demonstrated to be associated with a smaller DSCA of the L34 lumbar level (r = -0.42, P = .027, 95% CI [-0.68, -0.05]) and the L45 lumbar level (r = -0.47, P = .011, 95% CI [-0.71, -0.12]). CONCLUSION The upper LSS may be attributed to an increased kyphosis of the thoracolumbar spine. On the contrary, the lower LSS seemed to be correlated with a more backward tilt of the pelvis.
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Affiliation(s)
- Husule Cai
- Department of Neurosurgery, Leiden University Medical Centre, Leiden, the Netherlands
| | - Chady Omara
- Department of Neurosurgery, Leiden University Medical Centre, Leiden, the Netherlands
- Computational Neuroscience Outcome Center, Brigham and Woman's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Carmen L A Vleggeert-Lankamp
- Department of Neurosurgery, Leiden University Medical Centre, Leiden, the Netherlands
- Computational Neuroscience Outcome Center, Brigham and Woman's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Spaarne Gasthuis, Haarlem, Hoofddorp, the Netherlands
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Acosta Julbe JI, Gottreich JR, Ermann J, Isaac Z, DeFilipp M, Andrew MN, Chang Y, Zampini JM, Katz JN, Mandell JC. Reporting of Facet Joint Inflammation in Lumbar Spine MRI Studies in Patients With Low Back Pain. Spine (Phila Pa 1976) 2024; 49:733-740. [PMID: 38229507 DOI: 10.1097/brs.0000000000004923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/22/2023] [Indexed: 01/18/2024]
Abstract
STUDY DESIGN Retrospective. OBJECTIVE We aimed to assess the frequency of facet joint inflammatory features noted in routine radiology reports of lumbar spine magnetic resonance imaging (MRI) studies among patients with chronic low back pain. SUMMARY OF BACKGROUND DATA Facet joint arthropathy is one of the most common causes of chronic low back pain. It may encompass various inflammatory imaging characteristics, such as facet joint effusion, bone marrow edema, and soft tissue edema. The extent to which radiology reports mention inflammatory features of the lumbar facet joints and the accuracy of these reports have not been investigated. MATERIALS AND METHODS The authors performed a chart review on 49 subjects with previous facet-related interventions ( i.e . medial branch blocks or intra-articular facet joint injection) and MRI available in the medical record. One senior musculoskeletal radiologist and a musculoskeletal radiology fellow graded the inflammatory features using a published facet joint inflammation grading system [Gold Standard (GS)]. The authors identified the inflammatory markers mentioned in the radiology reports and calculated the sensitivity and positive predictive value of the radiology reports compared with GS readings. RESULTS Compared with the GS, the sensitivity of radiology reports for facet joint effusion, bone marrow, and soft tissue edema ranged from 6% to 22%, and the positive predictive value ranged from 25% to 100%. L4/5 had the highest number of cases with inflammatory features noted on the reports. CONCLUSION Inflammatory findings, such as facet joint effusion, bone marrow edema, and soft tissue edema, are not commonly identified in radiology reports. Further investigations are needed to determine the clinical importance of MRI-detected lumbar facet joint inflammatory features as a potential mechanism of nociception and as a predictor of outcomes following injections or other therapies.
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Affiliation(s)
- José I Acosta Julbe
- Orthopedic and Arthritis Center for Outcomes Research, Brigham and Women's Hospital, Boston, MA
- Department of Orthopedic Surgery, Brigham and Women's Hospital, Boston, MA
| | - Julia R Gottreich
- Orthopedic and Arthritis Center for Outcomes Research, Brigham and Women's Hospital, Boston, MA
- Department of Orthopedic Surgery, Brigham and Women's Hospital, Boston, MA
| | - Joerg Ermann
- Harvard Medical School, Boston, MA
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, MA
| | - Zacharia Isaac
- Harvard Medical School, Boston, MA
- Department of Physical Medicine and Rehabilitation, Brigham and Women's Hospital, Boston, MA
| | - Miriam DeFilipp
- Harvard Medical School, Boston, MA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Michael N Andrew
- Harvard Medical School, Boston, MA
- Department of Physical Medicine and Rehabilitation, Brigham and Women's Hospital, Boston, MA
| | - Yuchiao Chang
- Harvard Medical School, Boston, MA
- Department of Medicine, Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Jay M Zampini
- Department of Orthopedic Surgery, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jeffrey N Katz
- Orthopedic and Arthritis Center for Outcomes Research, Brigham and Women's Hospital, Boston, MA
- Department of Orthopedic Surgery, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, MA
| | - Jacob C Mandell
- Harvard Medical School, Boston, MA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
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Acosta JI, Ermann J, Isaac Z, DeFilipp M, Gottreich JR, Andrew MN, Chang Y, Zampini JM, Katz JN, Mandell JC. Comprehensive Grading System of Inflammatory Features of the Lumbar Facet Joints on Magnetic Resonance Imaging. Spine (Phila Pa 1976) 2024; 49:332-340. [PMID: 37798843 PMCID: PMC10922347 DOI: 10.1097/brs.0000000000004846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 09/27/2023] [Indexed: 10/07/2023]
Abstract
STUDY DESIGN Retrospective. OBJECTIVE We aimed to describe a magnetic resonance imaging (MRI)-based grading system of inflammatory features of the lumbar facet joints using an atlas and assess its reliability. SUMMARY OF BACKGROUND DATA Chronic low back pain is often caused by facet joint arthropathy. Inflammatory features are often evident on MRI. While several grading systems of facet arthropathy have been described, there is scant data on the reliability of these systems, and none focus exclusively on inflammatory features. MATERIALS AND METHODS We describe a grading system that assesses facet joint effusion, bone marrow edema, and soft tissue edema. Each feature was graded from 0 to 3 (facet edema) or 0 to 2 (bone marrow edema intensity and extent, soft tissue edema intensity and extent). Four spine experts graded MRIs of 50 subjects at the bilateral L3/4, L4/5, and L5/S1 levels. All subjects had symptomatic facet arthropathy and received therapeutic facet joint injections. We assessed the intra-reader and inter-reader reliability of each feature at each joint and summarized across all six joints. RESULTS The mean age of subjects was 56 years (SD = 17), and 48% were female. The injections occurred at the L3/4 level in 12% of cases, at L4/5 in 88%, and at L5/S1 in 80% of cases. The intra-reader reliability kappa's for each feature ranged from 0.42 to 0.81. In contrast, the inter-reader reliability kappa values for each feature ranged from 0.37 to 0.54. CONCLUSION MRI inflammatory features of the lumbar facet joints are often noted in patients with low back pain. The proposed grading system is reliable and could serve as a research tool for studies assessing the clinical relevance and prognostic value of these features.
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Affiliation(s)
- José I. Acosta
- Orthopedic and Arthritis Center for Outcomes Research, Department of Orthopaedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Joerg Ermann
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Zacharia Isaac
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Miriam DeFilipp
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Julia R. Gottreich
- Orthopedic and Arthritis Center for Outcomes Research, Department of Orthopaedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Michael N. Andrew
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Yuchiao Chang
- Harvard Medical School, Boston, Massachusetts, USA
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jay M. Zampini
- Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Jeffrey N. Katz
- Orthopedic and Arthritis Center for Outcomes Research, Department of Orthopaedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jacob C. Mandell
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
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Acosta JI, Mandell JC, Ermann J, Isaac Z, Zampini JM, DeFilipp M, Gottreich JR, Andrew M, Katz JN. Grading Systems of Lumbar Facet Joint Inflammatory Changes on Magnetic Resonance Imaging: A Scoping Review. Spine (Phila Pa 1976) 2023; 48:636-644. [PMID: 36856452 PMCID: PMC10101880 DOI: 10.1097/brs.0000000000004609] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/13/2023] [Indexed: 03/02/2023]
Abstract
STUDY DESIGN A scoping review. OBJECTIVE We aimed to identify and characterize grading systems of the inflammatory features of the lumbar facet joints (FJs) noted on magnetic resonance imaging and summarize their reliability. SUMMARY OF BACKGROUND DATA Chronic low back pain is one of the most common causes of disability worldwide and is frequently accompanied by FJ osteoarthritis. Inflammatory changes in the lumbar FJs are commonly noted in imaging studies of patients with FJ osteoarthritis and low back pain. Several grading systems for these inflammatory changes have been developed. However, these grading system's features and reliability have yet to be reviewed. MATERIALS AND METHODS We performed a literature search of studies reporting grading systems for FJ inflammatory changes published in English or Spanish between 1985 and 2022. We collected data on reported interreader reliability measures of each grading system. Finally, we compared the features of inflammation described by each system. RESULTS Six studies met the inclusion criteria and were used in our analysis. Features commonly graded in these systems are the hyperintensity signal noted within the FJ, bone marrow edema, and the extent of the soft-tissue edema surrounding the FJs. We found that the interreader reliability measures ranged from 0.56 to 0.96. CONCLUSIONS Only 6 studies have reported methods for documenting inflammation in the FJs. Studies varied in the precise tissues and phenomena included in the grading systems. However, the systems were generally reliable. Future studies should document the reliability of these methods when independent investigators are not involved in developing the classification schemes. Further work might combine one or more of these measures to establish a standard and reliable grading system for inflammatory changes in the FJs, including signal intensity within the joint, bone marrow edema, and soft-tissue inflammation.
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Affiliation(s)
- José I. Acosta
- Orthopedic and Arthritis Center for Outcomes Research, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jacob C. Mandell
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Joerg Ermann
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Zacharia Isaac
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jay M. Zampini
- Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Miriam DeFilipp
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Julia R. Gottreich
- Orthopedic and Arthritis Center for Outcomes Research, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Michael Andrew
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jeffrey N. Katz
- Orthopedic and Arthritis Center for Outcomes Research, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
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The current state of radiodiagnostics of degenerative changes in the lumbar spine (literature review). ACTA BIOMEDICA SCIENTIFICA 2022. [DOI: 10.29413/abs.2022-7.6.15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Examination of the spine using radiological methods remains the most frequently conducted study in the outpatient practice of almost any radiologist. In most cases, changes in the spine are degenerative and dystrophic in nature. These changes in the spine are the leading cause of loss of activity among adults and the elderly, and cover a wide range of age-related structural changes. It is of great importance to understand the possibilities and limitations of radiological methods of diagnostics. The description of morphological changes observed in degenerative and dystrophic changes requires the use of unified terminology and classifications among clinicians and radiologists.The aim. To present modern concepts in the assessment of degenerative changes of the spine using radiological methods. A description of the standardized international nomenclature of intervertebral disc pathology and current classifications of spinal canal stenosis are presented.Material and methods. For literature search, we used electronic databases MEDLINE (PubMed), eLibrary, EMBASE and Cochrane Library with a selection of sources published from 2000 to 2021. We analyzed the works devoted to the diagnosis of degenerative changes in lumbar spine and to degenerative stenosis.Conclusion. The key to productive communication between physicians is the uniformity or standardization of terminology and definitions used. It is important that the protocol of description, its terms, semantic expressions be uniform and understandable to specialists who are involved in the diagnosis and treatment of the spine. Magnetic resonance imaging is a valuable method in the diagnosis of degenerative changes of the spinal column, but it has its limitations.
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Miskin N, Gaviola GC, Huang RY, Kim CJ, Lee TC, Small KM, Wieschhoff GG, Mandell JC. Standardized Classification of Lumbar Spine Degeneration on Magnetic Resonance Imaging Reduces Intra- and Inter-subspecialty Variability. Curr Probl Diagn Radiol 2021; 51:491-496. [PMID: 34556373 DOI: 10.1067/j.cpradiol.2021.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 08/03/2021] [Accepted: 08/04/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND PURPOSE To determine the efficacy of standardized definitions of degenerative change in reducing variability in interpretation of lumbar spine magnetic resonance imaging within and between groups of subspecialty-trained neuroradiologists (NR) and musculoskeletal radiologists (MSK). MATERIALS AND METHODS Six radiologists, three from both NR and MSK groups were trained on a standardized classification system of degenerative change. After an 11-month washout period, they independently re-interpreted fifty exams at the L4-L5 and L5-S1 levels. Responses were converted to a six-point ordinal scale for the assessment of neural foraminal stenosis and spinal canal stenosis (SCS), three-point scale for lateral recess stenosis, and four-point scale for facet osteoarthritis (FO). Intra-subspecialty and inter-subspecialty analysis was performed using the weighted Cohen's kappa with a binary matrix of all reader pairs. RESULTS Inter-subspecialty agreement improved from k=0.527 (moderate) to k=0.602 (substantial) for neural foraminal stenosis, from k=0.540 (moderate) to k=0.652 (substantial) for SCS, from k=0.0818 (slight) to k=0.337 (fair) for lateral recess stenosis, and from k=0.176 (slight) to k=0.495 (moderate) for FO. The NR group demonstrated improved intra-subspecialty agreement for the assessment of SCS, from k=0.368 (fair) to k=0.638 (substantial). The MSK group demonstrated improved intra-subspecialty agreement for the assessment of FO, from k=0.134 (slight) to k=0.413 (moderate). Intra-subspecialty agreement was similar for other parameters before and after training. CONCLUSIONS As result of the standardized definitions training, the NR and MSK groups each improved in one of the four parameters, while inter-subspecialty variability improved in all four parameters. These definitions may be useful in clinical practice across radiology subspecialties.
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Affiliation(s)
- Nityanand Miskin
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
| | - Glenn C Gaviola
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Christine J Kim
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Thomas C Lee
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Kirstin M Small
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ged G Wieschhoff
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jacob C Mandell
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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