scholarly journals AB1093 INTEROBSERVER AGREEMENT IN MAGNETIC RESONANCE OF SACROILIAC JOINTS ABOUT ACTIVE SACROILIITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1835.1-1836
Author(s):  
A. C. Genç ◽  
F. Turkoglu Genc ◽  
A. B. Kara ◽  
Z. Ozturk ◽  
D. Karatas ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Interobserver Agreement ◽  
Corporate Strategy ◽  
Axial Spondyloarthritis ◽  
Musculoskeletal Diseases ◽  
P Value ◽  
Mri Findings ◽  
Expert Radiologist ◽  
Significant Difference ◽  
Active Sacroiliitis

Background:Axial spondyloarthritis has characteristic clinical features such as enthesitis, sacroiliitis and spondylitis, and extra-articular manifestations(1). Magnetic resonance imaging (MRI) of sacroiliac (SI) joints is used to detect early sacroiliitis(2). Health institutions in our country carry out some of the radiology reporting services by outsourcing for reasons such as high cost and insufficient number of radiologists(3).Objectives:We decided to evaluate the interobserver agreement in active MRI findings of SI between radiologist of outsourcing radiology services and local/expert radiologist in musculoskeletal diseases.Methods:Between the years of 2015 and 2019, 8100 sacroiliac MRIs were taken at our center. The MRI of 1150 patients who were reported as active or chronic sacroiliitis from these sacroiliac MRIs or whose MRI was considered by the primary physician in favor of sacroiliitis was included in the study. Concordance between Evaluation and Service Procurement was examined using Kappa (k) coefficients. Mc Nemar test was used to compare the evaluation result between two observers. A p-value <0.05 was considered significant. Analyses were performed using commercial software (IBM SPSS Statistics, Version 23.0. Armonk, NY: IBM Corp.)Results:Of the 1150 patients examined in the study, 526 (45.7%) were male and 624 (54.3%) were female. The general average age is 37.20 ± 11.65 and the average age of men and women is 34.98 ± 11.19 and 39.07 ± 11.71 respectively. A statistically significant difference was found between the expert radiologists and outsourcing radiologist reports. In other words, a high level of compatibility was not found among the evaluators (p <0.001). When the consistency between expert radiologist and outsourced radiologist reports was examined, it was observed that there was a medium level of concordance (k = 0.589).Conclusion:The diagnosis of a spondyloarthropathy may be delayed for some reasons. In addition to the insidious course of the disease, being contented with an outsourced radiologist report may delay diagnosis. If the patient’s clinic and MRI report are not consistent, the patient should not be removed from follow-up.References:[1]Braun J. ‘Axial spondyloarthritis including ankylosing spondylitis’ Rheumatology (Oxford). 2018 1;57(suppl_6):vi1-vi3[2]Jans L, Egund N, Eshed I, Sudoł-Szopińska I, Jurik AG. Sacroiliitis in Axial Spondyloarthritis: Assessing Morphology and Activity. Semin Musculoskelet Radiol. 2018;22: 180–188.[3]Quélin B, Duhamel F. Bringing Together Strategic Outsourcing and Corporate Strategy: European Management Journal. 2003. pp. 647–661. doi:10.1016/s0263-2373(03)00113-0OUTSOURCING RADIOLOGIST REPORTSTOTALpNOT ACTIVE SACROILIITISACTIVE SACROILIITISEXPERT RADIOLOGIST REPORTSNOT ACTIVE SACROILIITIS508178686<0.0010.589ACTIVE SACROILIITIS59405464TOTAL5675831150Disclosure of Interests:None declared

scholarly journals Interobserver Agreement in Magnetic Resonance of the Sacroiliac Joints in Patients with Spondyloarthritis

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Juan C. Rueda ◽  
Sofia Arias-Correal ◽  
Andres Y. Vasquez ◽  
Enrique Calvo ◽  
Paola Peña ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Interobserver Agreement ◽  
Clinical Laboratory ◽  
Musculoskeletal Diseases ◽  
Sacroiliac Joints ◽  
Mri Findings ◽  
Expert Radiologist ◽  
Diagnosis And Classification ◽  
Magnetic Resonance Imaging Mri

Background. Clinical, laboratory, and radiologic parameters are used for diagnosis and classification of spondyloarthritis (SpA). Magnetic resonance imaging (MRI) of sacroiliac (SI) joints is being increasingly used to detect early sacroiliitis. We decided to evaluate the interobserver agreement in MRI findings of SI joints of SpA patients between a local radiologist, a rheumatologist, and an expert radiologist in musculoskeletal diseases. Methods. 66 MRI images of the SI joints of patients with established diagnosis of SpA were evaluated. Agreement was expressed in Cohen’s kappa. Results. Interobserver agreement between a local radiologist and an expert radiologist was fair (κ=0.37). Only acute findings showed a moderate agreement (κ=0.45), while chronic findings revealed 76.5% of disagreement (κ=0.31). A fair agreement was observed in acute findings (κ=0.38) as well as chronic findings (κ=0.38) between a local radiologist and a rheumatologist. There was a substantial agreement between an expert radiologist and a rheumatologist (κ=0.73). In acute findings, a 100% agreement was achieved. Also chronic and acute plus chronic findings showed high levels of agreement (κ=0.73 and 0.62, resp.). Conclusions. Our study shows that rheumatologists may have similar MRI interpretations of SI joints in SpA patients as an expert radiologist.

AB1161 ARTIFICIAL INTELLIGENCE FOR RHEUMATOLOGY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1871-1872
Author(s):  
A. C. Genç ◽  
F. Turkoglu Genc ◽  
A. B. Kara ◽  
L. Genc Kaya ◽  
Z. Ozturk ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Sacroiliac Joint ◽  
Axial Skeleton ◽  
Observer Agreement ◽  
Mri Findings ◽  
Learning Methods ◽  
Expert Radiologist ◽  
Active Sacroiliitis

Background:Magnetic resonance imaging (MRI) of sacroiliac (SI) joints is used to detect early sacroiliitis(1). There can be an interobserver disagreement in MRI findings of SI joints of spondyloarthropathy patients between a rheumatologist, a local radiologist, and an expert radiologist(2). Artificial Intelligence and deep learning methods to detect abnormalities have become popular in radiology and other medical fields in recent years(3). Search for “artificial intelligence” and “radiology” in Pubmed for the last five years returned around 1500 clinical studies yet no results were retrieved for “artificial intelligence” and “rheumatology”.Objectives:Artificial Intelligence (AI) can help to detect the pathological area like sacroiliitis or not and also allows us to characterize it as quantitatively rather than qualitatively in the SI-MRI.Methods:Between the years of 2015 and 2019, 8100 sacroiliac MRIs were taken at our center. The MRIs of 1150 patients who were reported as active or chronic sacroiliitis from these sacroiliac MRIs or whose MRIs were considered by the primary physician in favor of sacroiliitis was included in the study. 1441 MRI coronal STIR sequence of 1150 patients were tagged as ‘’active sacroiliitis’’ and trained to detect and localize active sacroiliitis and provide prediction performance. This model is available for various operating systems. (Image1)Results:Precision score, the percentage of sacroiliac images of the trained model, is 87.1%. Recall, the percentage of the total sacroiliac MRIs correctly classified by the model, is 82.1% and the mean average precision (mAP) of the model is 89%.Conclusion:There are gray areas in medicine like sacroiliitis. Inter-observer variability can be reduced by AI and deep learning methods. The efficiency and reliability of health services can be increased in this way.References:[1]Jans L, Egund N, Eshed I, Sudoł-Szopińska I, Jurik AG. Sacroiliitis in Axial Spondyloarthritis: Assessing Morphology and Activity. Semin Musculoskelet Radiol. 2018;22: 180–188.[2]B. Arnbak, T. S. Jensen, C. Manniche, A. Zejden, N. Egund, and A. G. Jurik, “Spondyloarthritis-related and degenerative MRI changes in the axial skeleton—an inter- and intra-observer agreement study,”BMC Musculoskeletal Disorders, vol. 14, article 274, 2013.[3]Rueda, Juan C et al. “Interobserver Agreement in Magnetic Resonance of the Sacroiliac Joints in Patients with Spondyloarthritis.”International journal of rheumatology(2017).Image1.Bilateral active sacroiliitis detected automatically by AI model (in right sacroiliac joint 75.6%> (50%), in left sacroiliac joint 65% (>50%))Disclosure of Interests:None declared

scholarly journals AB0007 VALUE OF ULTRASOUND IN ASSESSMENT OF ACTIVE SACROILIITIS IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1307.3-1307
Author(s):  
M. Chen ◽  
S. M. Dai
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Axial Spondyloarthritis ◽  
Resonance Imaging ◽  
Predictive Values ◽  
Significant Difference ◽  
The Us ◽  
Active Sacroiliitis ◽  
Magnetic Resonance Imaging Mri ◽  
Research Consortium

Background:The inflammatory of the sacroiliac joints (SIJs) called sacroiliitis, is a characteristic of axial Spondyloarthritis (axSpA). The detection of sacroiliitis is meaningful to prevent irreversible changes. The tool of assessment of sacroiliitis including radiographs, computed tomography (CT) and magnetic resonance imaging (MRI). Ultrasound (US) has also been used in the evaluation of sacroiliitis in recent years.Objectives:We aimed to evaluate the value of US in the assessment of active sacroiliitis in axSpA patients.Methods:Fifty-one patients fulfilling Assessment of SpondyloArthritis International Society (ASAS) 2009 criteria for the classification of axSpA were recruited1. All the patients underwent MRI and US evaluation of bilateral SIJs. MRI was performed using the sequences of T1WI, T2WI and fat suppression T2WI (FS-T2WI). MRI sacroiliitis was defined according to ASAS criteria of active sacroiliitis2. The Spondyloarthritis research Consortium of Canada (SPARCC) scoring was used to evaluate the inflammatory lesions in SIJs3. US were performed by an ultrasonographer with 10 years of experience in musculoskeletal ultrasound, and resistive index (RI) value was recorded. The US sacroiliitis was defined as the presence of more flow signals at SIJ with an RI ≤ 0.75. The HLA-B27, erythrocyte sedimentation rate (ESR) and hypersensitive C-reactive protein (hsCRP) were also evaluated. Consistency rate, sensitivity, specificity, positive predictive values (PPV) and negative predictive values (NPV)for the diagnosis of sacroiliitis by US were calculated, using MRI as the gold standard.Results:Of the 51 patients, 24 were female and 27 were male. The HLA-B27 positive rate was 90.2% (46/51). The consistency rate of US and MRI sacroiliitis was 55.88 (57/102). The sensitivity and specificity of US for the diagnosis of sacroiliitis were 55.93 (33/59) and 55.81 (24/43) respectively. The PPV and NPV were 63.46 (33/52) and 48 (24/50) respectively. There was no significant difference in ESR and hsCRP between the US positive sacroiliitis and the others (P= 0.7477 and 0.2268, respectively). The SPARCC scores have no significant difference between the US positive sacroiliitis and the others (P= 0.2206). The RI was not significantly associated with the MRI SPARCC score (P=0.4236).Conclusion:US may be an optional method for preliminary screening sacroiliitis. But its reliability as a diagnostic method needs further verification.References:[1]Rudwaleit M, et al. The development of Assessment of SpondyloArthritis international Society classification criteria for axial spondyloarthritis (part II): validation and final selection. Ann Rheum Dis. 2009; 68(6):777-83[2]Rudwaleit M, et al. Defining active sacroiliitis on magnetic resonance imaging (MRI) for classification of axial spondyloarthritis: a consensual approach by the ASAS/OMERACT MRI group. Ann Rheum Dis 2009;68(10):1520–7[3]Maksymowych WP, et al. Spondyloarthritis research Consortium of Canada magnetic resonance imaging index for assessment of sacroiliac joint inflammation in ankylosing spondylitis. Arthritis Rheum.2005;53(5):703-9.Acknowledgments:This project was supported by grants from National Natural Science Foundation of China (81900795)Disclosure of Interests:None declared

scholarly journals Spine and sacroiliac joints on magnetic resonance imaging in patients with early axial spondyloarthritis: prevalence of lesions and association with clinical and disease activity indices from the Italian group of the SPACE study

Reumatismo ◽  
2016 ◽  
Vol 68 (2) ◽  
pp. 72 ◽  
Author(s):  
M. Lorenzin ◽  
A. Ortolan ◽  
P. Frallonardo ◽  
S. Vio ◽  
C. Lacognata ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Disease Activity ◽  
Axial Spondyloarthritis ◽  
X Rays ◽  
Resonance Imaging ◽  
Diagnostic Significance ◽  
Significant Difference ◽  
Spine Mri ◽  
Activity Indices

Our aim was to determine the prevalence of spine and sacroiliac joint (SIJ) lesions on magnetic resonance imaging (MRI) in patients with early axial spondyloarthritis (axSpA) and their correlation with disease activity indices. Sixty patients with low back pain (LBP) (≥3 months, ≤2 years, onset ≤45 years), attending the SpA-clinic of the Unità Operativa Complessa Reumatologia of Padova [SpondyloArthritis-Caught-Early (SPACE) study], were studied following a protocol including physical examination, questionnaires, laboratory tests, X-rays and spine and SIJ MRI. Positive spine and SIJ MRI and X-rays images were scored independently by 2 readers using the SPARCC method, modified Stoke ankylosing spondylitis spine score and New York criteria. The axial pain and localization of MRI-lesions were referred to 4 sites: cervical/thoracic/lumbar spine and SIJ. All patients were classified into three groups: patients with signs of radiographic sacroiliitis (r-axSpA), patients without signs of r-axSpA but with signs of sacroiliitis on MRI (nr-axSpA MRI SIJ+), patients without signs of sacroiliitis on MRI and X-rays (nr-axSpA MRI SIJ-). The median age at LBP onset was 29.05±8.38 years; 51.6% of patients showed bone marrow edema (BME) in spine-MRI and 56.7% of patients in SIJ-MRI. Signs of enthesitis were found in 55% of patients in the thoracic district. Of the 55% of patients with BME on spine-MRI, 15% presented presented a negative SIJMRI. There was a significant difference between these cohorts with regard to the prevalence of radiographic sacroiliitis, active sacroiliitis on MRI and SPARCC SIJ score. The site of pain correlated statistically with BME lesions in thoracic and buttock districts. Since positive spine-MRI images were observed in absence of sacroiliitis, we can hypothesize that this finding could have a diagnostic significance in axSpA suspected axSpA.

Brain magnetic resonance imaging does not contribute to the diagnosis of chronic neuroborreliosis

2007 ◽  
Vol 48 (7) ◽  
pp. 755-762 ◽  
Author(s):  
A. Aalto ◽  
J. Sjöwall ◽  
L. Davidsson ◽  
P. Forsberg ◽  
Ö. Smedby
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Disease Duration ◽  
Brain Magnetic Resonance Imaging ◽  
White Matter Lesions ◽  
Resonance Imaging ◽  
Mri Findings ◽  
Significant Difference ◽  
Fluid Attenuated Inversion Recovery ◽  
Magnetic Resonance Imaging Mri

Background: Borrelia infections, especially chronic neuroborreliosis (NB), may cause considerable diagnostic problems. This diagnosis is based on symptoms and findings in the cerebrospinal fluid but is not always conclusive. Purpose: To evaluate brain magnetic resonance imaging (MRI) in chronic NB, to compare the findings with healthy controls, and to correlate MRI findings with disease duration. Material and Methods: Sixteen well-characterized patients with chronic NB and 16 matched controls were examined in a 1.5T scanner with a standard head coil. T1- (with and without gadolinium), T2-, and diffusion-weighted imaging plus fluid-attenuated inversion recovery (FLAIR) imaging were used. Results: White matter lesions and lesions in the basal ganglia were seen in 12 patients and 10 controls (no significant difference). Subependymal lesions were detected in patients down to the age of 25 and in the controls down to the age of 43. The number of lesions was correlated to age both in patients (ρ = 0.83, P<0.01) and in controls (ρ = 0.61, P<0.05), but not to the duration of disease. Most lesions were detected with FLAIR, but many also with T2-weighted imaging. Conclusion: A number of MRI findings were detected in patients with chronic NB, although the findings were unspecific when compared with matched controls and did not correlate with disease duration. However, subependymal lesions may constitute a potential finding in chronic NB.

scholarly journals Clinical and Pathological Attributes of Hepatocellular Carcinoma Showing Lack of Restricted Diffusion on Magnetic Resonance Imaging

2021 ◽  
Author(s):  
Dearada Wancharoenrung ◽  
Kamonwon Cattapan ◽  
Thitinan Chulroek ◽  
Hamed Kordbacheh ◽  
Martina Cecconi ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Hepatocellular Carcinoma ◽  
Magnetic Resonance ◽  
Survival Rates ◽  
Restricted Diffusion ◽  
P Value ◽  
Resonance Imaging ◽  
Arterial Enhancement ◽  
Significant Difference ◽  
Poorly Differentiated

Objective: To correlate non-restricted diffusion magnetic resonance imaging (MRI) patterns of hepatocellular carcinoma (HCC), with histopathology and clinical outcome.Material and Methods: We retrospectively evaluated pre-treatment MRIs showing non-restricted diffusion HCC lesions (≥1-centimeter), excluding lesions with poor quality/non-available diffusion weighted imaging (DWI). Three radiologists evaluated 37 lesions in 27 patients, for: T1-weighted (T1W)/T2-weighted (T2W) characteristics, arterial enhancement, washout on portal venous/delayed phase, capsular enhancement, intralesional fat component and presence of cirrhosis. Histopathological reports were categorized as: well/moderate/poorly differentiated. Kaplan-Meier survival analysis was calculated for clinical outcome.Results: From a total of 37 lesions, 24 lesions had available pathological grading, which revealed well and moderately differentiated equally (12 lesions each). None of the non-restricted diffusion HCCs were poorly differentiated. Thirty-five of the 37 lesions (94.6%) showed arterial enhancement with washout; 34 lesions (91.9%) were T2W hypo-/isointense, 33 esions (89.2%) were T1W iso-/hyperintense, 19 lesions (51.4%) showed capsular enhancement and 8 lesions (21.6%) had intralesional fat. These findings in the well and moderately differentiated groups were not significantly different (p-value 0.178-1.000). Overall mean-survival was 6.972 years (95% confidence interval (CI); 5.3-8.6). The 1-year, overall survival rate was 83.6% and for 3-years was 67.9%. Mean survival of well and moderately differentiated groups were 6.88 and 7.23 years (95% CI 5.7-8.0 and 4.4-10.1), respectively (p-value=0.319).Conclusion: DWI may help to predict histological grading of HCC and clinical outcome. We found that non-restricted diffusion HCCs were histologically well or moderately differentiated, with no significant difference of imaging findings and survival rates between the two groups. No poorly differentiated lesions were seen in our non-restricted HCC cohort.

scholarly journals Magnetic Resonance Imaging Grading of Pituitary Macroadenoma- SIPAP Classification Revisited.

2021 ◽  
Author(s):  
Shayan Sirat Maheen Anwar ◽  
Kiran Hilal ◽  
Anam Khan ◽  
Asra Ahmad
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Pituitary Adenomas ◽  
Tumour Size ◽  
P Value ◽  
Kappa Statistics ◽  
Pituitary Macroadenoma ◽  
Resonance Imaging ◽  
Tumour Delineation ◽  
Significant Difference

Abstract BACKGROUNDMagnetic resonance imaging (MRI) is regarded as the modality of choice in diagnosis of pituitary adenomas. Since surgery is the first line therapy for all pituitary adenomas with exception of prolactinoma, simple and reproducible MRI classification based on major directions of tumour growth is an essential tool providing the exact road map for right surgical approach and maximum safe resection.SIPAP MRI classification for pituitary adenomas is derived from KNOSP-STEINER classification of parasellar growth, to which has been added grading for superior, inferior, anterior and posterior tumour extension.We, therefore, propose to incorporate SIPAP classification in routine reporting template of pituitary adenomas, for ideal radiological description of tumour delineation, relationship to juxtasellar structures, and tumour size, hence facilitating greater success rate in surgical and subsequent clinical management.METHODSTwo radiologists retrospectively reviewed imaging of 49 patients with biopsy-proven pituitary macroadenoma and graded according to SIPAP classification. Study was conducted at Aga Khan University Hospital from 1st July 2019 to 30th June 2020. Data was analyzed using Stata version 15. Interobserver variability was calculated using Cohen’s Kappa. Comparison between grading before and after treatment was performed by Chi-square test. P values <0.05 were considered statistically significant.RESULTSSixty three percent patients were male and 37% female. Overall, maximum preoperative and postoperative volume was 71.82 cm3 and 49.50 cm3 respectively, with significant difference in pre and post-operative volumes (14.1±17.7 vs. 4.5±10.4, p-value <0.001). Length showed most significant difference pre and post-operatively (2.4±1.1 vs. 1.3±1.1, p-value <0.001). Individual tumour extensions according to SIPAP for pre- and post-operative grading showed significant difference (p-value <0.001), except for anterior extension. For suprasellar extension, 67.3% patients had pre-operative grade 3 and 63.3% had post-operative grade 0. For infrasellar extension, 51.0% had pre-operative grade 2 and 71.4% had post-operative grade 0. Anterior, posterior and parasellar extensions showed increased frequency in grade 0 in post-operative stage compared to pre-operative. Substantial inter-observer agreement was achieved for Superior, Inferior, Anterior and Posterior extent with all Kappa statistics values above 0.7 (p-value <0.001).CONCLUSIONWe propose incorporating simple and objective SIPAP classification in routine MR reporting for ideal pituitary tumour delineation, relationship to juxtasellar structures and tumour size.

scholarly journals Estimation of ventricles size of human brain by Magnetic Resonance Imaging in Nepalese Population: A retrospective study

2020 ◽  
Vol 13 (1) ◽  
pp. 45-50
Author(s):  
Sushma Singh ◽  
Bhoj Raj Sharma ◽  
Urusha Prajapati ◽  
Pujan Sharma ◽  
Manoj Bhatta ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Retrospective Study ◽  
Magnetic Resonance ◽  
Fourth Ventricle ◽  
Third Ventricle ◽  
P Value ◽  
Resonance Imaging ◽  
Mean Width ◽  
Significant Difference ◽  
The Mean

Background and Objective: Magnetic resonance imaging (MRI) provides image acquisition of three-dimensional data and measurement in any chosen imaging plane. Objective of this study is to assess the size of ventricles of the brain of normal Nepalese people and establish the range of size of the ventricular system and compute the ventricular dimensions among different age and gender. Materials and methods: This is a cross-sectional retrospective study done at Gandaki Medical College, Pokhara. A total of 106 MRI scan data of healthy individuals were collected over a period of seven months between March to September 2019. Patients ranged between eight and eighty years of age with 58 males and 48 females. Measurements of the mean of bifrontal diameter (BFD), bihemispheric diameter (BHD), third ventricle transverse dimension (TVTD), fourth ventricle antero-posterior dimension (FVAP), fourth ventricle width (FVW), and frontal horn ratio (FHR) were done. Result: The mean of BFD, BHD, TVTD, FVAP, FVW, and FHR were found to be 3.05 ± 0.10 cm, 10.11 ± 0.40 cm, 0.43 ± 0.11 cm, 0.90 ± 0.11 cm, 1.22 ± 0.12 cm, and 0.30 ± 0.01 cm, respectively. The mean width of fourth ventricle in males and females was observed to be 1.23 ± 0.12 cm and 1.19 ± 0.11 cm respectively. There was a significant correlation of TVTD, FVAP, FHR and BFD with age with Pearson correlation coefficient 0.393 (P value <0.01), 0.259 (P value <0.01), 0.34 (P value <0.01), and 0.219 (P value <0.05) respectively. However, BHD and FVW have no correlation with age. Conclusion: Third Ventricle Traverse Dimension, FVP, FVW and FHR show almost similar or slight difference in measurement according to gender. However, BFD shows larger difference in measurement according to gender. Similarly there is no such significant difference according to age in measurement of BFD, BHD, FVAP, FVW and FHR, while TVTD measurement shows slight increased measurement according to age.  

scholarly journals POS0939 WHEN DO THE ACTIVE SACROILIITIS MRI FINDINGS LOSS IN ANKYLOSING SPONDYLITIS? A RETROSPECTIVE, CROSS-SECTIONAL, OBSERVATIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 732.2-733
Author(s):  
A. C. Genç ◽  
F. Turkoglu Genc ◽  
Z. Öztürk ◽  
D. Karatas ◽  
S. M. Turk ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Ankylosing Spondylitis ◽  
Magnetic Resonance ◽  
Observational Study ◽  
Treatment Option ◽  
Resonance Imaging ◽  
Mri Findings ◽  
Cross Sectional ◽  
Tnf Blockers ◽  
Active Sacroiliitis

Background:Ankylosing Spondylitis (AS) is an inflammatory rheumatic disease that affects the spine and sacroiliac joints (SIJ). Non-steroidal anti-inflammatory drugs (NSAIDs), modifying antirheumatic drugs (DMARDs), and recently anti-TNF blockers, which are more costly than NSAIDs but used in resistant cases, are generally used in its treatment (1).Objectives:While SIJ-MRI is one of the imaging methods in the diagnosis of the disease, it is not yet used in its follow-up (2). We wanted to define when the activated SIJ-MRI findings, which showed early sacroiliitis, regressed according to the treatment option.Methods:Among the 8100 SIJ-MRIs taken in our hospital in the last 5 years, those that were reported normally were excluded from the study. Among the remaining 1150 patients with active or chronic SIJ findings, a total of 87 patients who were diagnosed with AS and had active SIJ findings in the first imaging and had a second SIJ-MRI examination for any reason were included in our retrospective, cross-sectional and observational study. According to the treatment option, how long the active SIJ-MRI findings disappeared was calculated in months using the Kaplan-Meier method.Results:Of the 87 patients examined in the study, 41 were women and 46 were men. The average age is 32.7. Active SIJ-MRI findings disappeared in a mean of 30.6 months for 11 of 24 patients who did not use any medication, in a mean of 33.9 months for 6 of 16 patients using NSAIDs, in a mean of 40.7 months for 14 of 34 patients using sulfasalazine, in a mean of 28.2 months for 3 of 6 patients using adalimumab, in a mean of 24.4 months for 3 of 5 patients using methotrexate, 11.9 month for 2 of 1 patient using certolizumab. There was no statistically significant difference between the groups.Conclusion:The signs of active sacroiliitis disappeared in less time in patients who did not receive any treatment than those using NSAIDs and sulfasalazine. Patients using anti-TNF blockers had earlier results than those using no medication. The reason for this may be the progressive course of patients who are switched to the next level of treatment and their late response to treatment, as well as the mechanism of the disease (2-3). This situation brings to the agenda the tendency of physicians to over-treat the disease. More randomized controlled studies are needed regarding new treatment options.References:[1]Braun J. ‘Axial spondyloarthritis including ankylosing spondylitis’ Rheumatology (Oxford). 2018 1;57(suppl_6):vi1-vi3.[2]Braun J, Baraliakos X, Golder W, Brandt J, Rudwaleit M, Listing J, Bollow M, Sieper J, van der Heijde D. Magnetic resonance imaging examinations of the spine in patients with ankylosing spondylitis, before and after successful therapy with infliximab. Arthritis & Rheumatism Vol. 48, No. 4, April 2003, pp 1126–1136.[3]Jee WH, McCauley TR, Lee SH, Kima SH, Ima SA, Had KY. Sacroiliitis in patients with ankylosing spondylitis: association of MR findings with disease activity. Magnetic resonance imaging 2004:22;245–250.Disclosure of Interests:None declared

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