scholarly journals A New Method for Measuring Glenoid Version on Standard Magnetic Resonance Imaging

2020 ◽  
Vol 4 ◽  
pp. 247154922092682
Author(s):  
Nicholas J. Maister ◽  
Andrew Hely ◽  
Liam G. Twycross ◽  
Stephen D. Gill ◽  
Richard S. Page
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Shoulder Instability ◽  
Interobserver Reliability ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
New Method ◽  
Resonance Imaging ◽  
Glenoid Version ◽  
Standard Magnetic Resonance Imaging

Background The most effective method and modality for measuring glenoid version for different shoulder conditions is uncertain. Computed tomography (CT) imaging exposes the patient to radiation, and standard magnetic resonance imaging (MRI) does not consistently image the entire scapula. This study investigates the reliability of a new method for assessing glenoid version using routine shoulder MRI. Methods MRI images of 20 patients undergoing arthroscopy for shoulder instability were independently assessed by 3 clinicians for osseous and chondrolabral glenoid version. To assess glenoid version, a line was drawn from medial corner of the glenoid body to midpoint of the glenoid face. A line perpendicular to this was the reference against which to measure glenoid version. Measurements were repeated after 3 months to assess intra- and interobserver reliability. Reliability was determined using intraclass correlation coefficients (ICCs). Results Interclass correlation coefficients showed at least good reliability for most estimates of intraobserver reliability (ICC ≥ .66) and excellent reliability for most estimates of interobserver reliability (ICC ≥ .84), with the exception of some inferior glenoid measurements where ICC was poor (ICC ≤.41). Discussion We propose that this new method of measuring glenoid on standard axial MRI can be used as a simple, practical, and reliable method in shoulder instability patients, which will reduce the requirement for CT in this group.

scholarly journals Magnetic resonance imaging based coracoid morphology and its associations with subscapularis tears: a new index

2017 ◽  
Vol 11 (1_suppl) ◽  
pp. 52-58 ◽  
Author(s):  
Adam C. Watson ◽  
Richard P. Jamieson ◽  
Andrew C. Mattin ◽  
Richard S. Page
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Sagittal Plane ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Resonance Imaging ◽  
Intraclass Correlation Coefficients ◽  
Arm Position ◽  
Magnetic Resonance Imaging Mri

Background We aimed to assess the validity of magnetic resonance imaging (MRI) in assessing the subcorocoid space and determine the validity of novel sagittal plane subcorocoid space measurements. Methods We assessed 33 arthroscopically proven subscapularis tears with MRIs compared to 33 (instability) controls with normal subscapularis tendons. Three examiners analyzed MRIs for seven static indices of corocoid morphology, in axial and sagittal planes. We explored reviewer variation using intraclass correlation coefficients (ICC) and differences between the two groups was explored using t-tests. Results Groups were similar in characteristics but different in age (cases = 53, controls = 23). ICC showed good (2/7) or excellent (5/7) reliability. Small differences(<1.6 mm) were identified between subscapularis tears and controls in coraco–humeral distance, in axial ( p = 0.092) and sagittal planes ( p = 0.045). There were statistically significant differences between groups when analyzing the angular projection of the coracoid from the glenoid, in both sagittal ( p < 0.0001) and axial planes ( p = 0.045). Conclusions Acute inferior angulation of the corocoid in the sagittal plane may be associated with subscapularis tears. Static indices are measured within the scapula and not affected by arm position. MRI reliably provided a platform to assess the coracoid. Based on this, we currently consider corocoplasty in patients with subscapularis tears and a sagittal coroco–glenoid angle <60o to reduce potential impingement.

Development and Preliminary Validation of the Spondyloarthritis Research Consortium of Canada Magnetic Resonance Imaging Sacroiliac Joint Structural Score

2014 ◽  
Vol 42 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Walter P. Maksymowych ◽  
Stephanie Wichuk ◽  
Praveena Chiowchanwisawakit ◽  
Robert G. Lambert ◽  
Susanne J. Pedersen
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Interobserver Reliability ◽  
Intraclass Correlation ◽  
Unmet Need ◽  
Resonance Imaging ◽  
Structural Progression ◽  
Smallest Detectable Change ◽  
Good For ◽  
Research Consortium

Objective.There is an unmet need for reliable assessment of structural progression in the sacroiliac joints (SIJ) of patients with spondyloarthritis (SpA), but radiography is unreliable and lacks responsiveness. We aimed to develop and validate a new scoring method for structural lesions based on magnetic resonance imaging (MRI), the Spondyloarthritis Research Consortium of Canada (SPARCC) SIJ Structural Score (SSS).Methods.The SSS method for assessment of structural lesions is based on T1-weighted spin echo MRI, validated lesion definitions, slice selection according to well-defined anatomical principles, and dichotomous scoring (lesion present/absent) of 5 consecutive slices through the cartilaginous portion of the joint. Scoring ranges are fat metaplasia (0–40), erosion (0–40), backfill (0–20), and ankylosis (0–20). We progressively conducted 3 validation exercises with 2–4 readers on baseline, and either 2-year (exercises 1 and 2) or 1-year (exercise 3) scans from 147 patients with SpA assessed blinded to timepoint. Interobserver reliability was assessed by intraclass correlation coefficient (ICC) and smallest detectable change (SDC).Results.Interobserver reliability for status score was good to excellent for ankylosis (ICC 0.79–0.98), consistently good for fat metaplasia (ICC 0.71–0.78), moderate to good for erosion (ICC 0.58–0.62), and fair to good for backfill (ICC 0.35–0.66). Reliability for change scores was moderate to good for all structural lesions despite the relatively small changes in scores, and was highest for fat metaplasia when both ICC and SDC values were compared.Conclusion.The new SPARCC MRI SSS method can detect structural changes in the SIJ with acceptable reliability over a 1–2-year timeframe, and should be further validated in patients with SpA.

scholarly journals R2* magnetic resonance imaging of the liver in patients with iron overload

Blood ◽  
2009 ◽  
Vol 113 (20) ◽  
pp. 4853-4855 ◽  
Author(s):  
Jane S. Hankins ◽  
M. Beth McCarville ◽  
Ralf B. Loeffler ◽  
Matthew P. Smeltzer ◽  
Mihaela Onciu ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Iron Overload ◽  
Bone Marrow Failure ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Dry Weight ◽  
Thalassemia Major ◽  
Resonance Imaging ◽  
Mri Measurements

R2* magnetic resonance imaging (R2*-MRI) can quantify hepatic iron content (HIC) by noninvasive means but is not fully investigated. Patients with iron overload completed 1.5T R2*-MRI examination and liver biopsy within 30 days. Forty-three patients (sickle cell anemia, n = 32; β-thalassemia major, n = 6; and bone marrow failure, n = 5) were analyzed: median age, 14 years, median transfusion duration, 15 months, average (±SD) serum ferritin 2718 plus or minus 1994 ng/mL, and average HIC 10.9 plus or minus 6.8 mg Fe/g dry weight liver. Regions of interest were drawn and analyzed by 3 independent reviewers with excellent agreement of their measurements (intraclass correlation coefficient = 0.98). Ferritin and R2*-MRI were weakly but significantly associated (range of correlation coefficients among the 3 reviewers, 0.41-0.48; all P < .01). R2*-MRI was strongly associated with HIC for all 3 reviewers (correlation coefficients, 0.96-0.98; all P < .001). This high correlation confirms prior reports, calibrates R2*-MRI measurements, and suggests its clinical utility for predicting HIC using R2*-MRI. This study was registered at www.clinicaltrials.gov as #NCT00675038.

scholarly journals Robustness of radiomic features in magnetic resonance imaging: review and a phantom study

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Renee Cattell ◽  
Shenglan Chen ◽  
Chuan Huang
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Prediction Models ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Phantom Study ◽  
Imaging Biomarkers ◽  
Gray Level ◽  
Resonance Imaging ◽  
Size Change

AbstractRadiomic analysis has exponentially increased the amount of quantitative data that can be extracted from a single image. These imaging biomarkers can aid in the generation of prediction models aimed to further personalized medicine. However, the generalizability of the model is dependent on the robustness of these features. The purpose of this study is to review the current literature regarding robustness of radiomic features on magnetic resonance imaging. Additionally, a phantom study is performed to systematically evaluate the behavior of radiomic features under various conditions (signal to noise ratio, region of interest delineation, voxel size change and normalization methods) using intraclass correlation coefficients. The features extracted in this phantom study include first order, shape, gray level cooccurrence matrix and gray level run length matrix. Many features are found to be non-robust to changing parameters. Feature robustness assessment prior to feature selection, especially in the case of combining multi-institutional data, may be warranted. Further investigation is needed in this area of research.

Development and Preliminary Validation of a Digital Overlay-based Learning Module for Semiquantitative Evaluation of Magnetic Resonance Imaging Lesions in Osteoarthritis of the Hip

2015 ◽  
Vol 43 (1) ◽  
pp. 232-238 ◽  
Author(s):  
Walter P. Maksymowych ◽  
Meaghan Pitts ◽  
Matthew J. Budak ◽  
David Gracey ◽  
Robert G. Lambert ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Interobserver Reliability ◽  
External Validation ◽  
Intraclass Correlation ◽  
Resonance Imaging ◽  
Semiquantitative Assessment ◽  
Preliminary Validation ◽  
Mri Scans ◽  
Good For

Objective.To develop and validate a knowledge transfer (KT) module aimed at enhancing feasibility and reliability of semiquantitative assessment of bone marrow lesions (BML) and synovitis-effusion using the Hip Inflammation Magnetic Resonance Imaging Scoring System (HIMRISS).Methods.Three radiologists naive to the HIMRISS method reviewed the manuscript describing the method and then scored MRI scans from 16 patients with hip OA obtained at baseline and 8 weeks after intraarticular injection of corticosteroid. Readers then reviewed a KT module comprising an instructional presentation and 8 reference DICOM (digital imaging and communications in medicine) cases scored by 3 readers with expertise in the HIMRISS method, and then used electronic overlay software to score scans from 23 patients with OA. The same format was followed with a second group of 3 readers naive to HIMRISS using a KT module revised to incorporate the overlay with a Web-based DICOM viewer to enhance feasibility. Interobserver reliability was assessed with the intraclass correlation coefficient (ICC).Results.In both exercises, reliability for baseline scores was excellent for femoral BML, very good for acetabular BML, and good for synovitis-effusion (overall ICC = 0.91, 0.89, 0.62, respectively) even without prior calibration using the KT module. However, reliability for detecting change was substantially worse than for expert readers, especially for acetabular BML and synovitis-effusion (overall ICC = 0.59 vs 0.19, and 0.42 vs 0.25, respectively). Reliability improved for detection of change in these lesions, especially after reader calibration with the revised KT module.Conclusion.Development and validation of a systematic method for KT may enhance external validation of certain imaging instruments.

scholarly journals Longitudinal Reliability of the OMERACT Thumb Base Osteoarthritis Magnetic Resonance Imaging Scoring System (TOMS)

2018 ◽  
Vol 46 (9) ◽  
pp. 1228-1231
Author(s):  
Féline P.B. Kroon ◽  
Sjoerd van Beest ◽  
Frédérique Gandjbakhch ◽  
Charles G. Peterfy ◽  
Su Chen ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Scoring System ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Hand Osteoarthritis ◽  
Resonance Imaging ◽  
Intraclass Correlation Coefficients ◽  
Smallest Detectable Change ◽  
Magnetic Resonance Imaging Mri

Objective.To assess the longitudinal reliability of the Outcome Measures in Rheumatology (OMERACT) Thumb base Osteoarthritis Magnetic resonance imaging (MRI) Scoring system (TOMS).Methods.Paired MRI of patients with hand osteoarthritis were scored in 2 exercises (6-mo and 2-yr followup) for synovitis, subchondral bone defects (SBD), osteophytes, cartilage assessment, bone marrow lesions (BML), and subluxation. Interreader reliability of delta scores was assessed.Results.Little change occurred. Average-measure intraclass correlation coefficients were good-excellent (≥ 0.71), except synovitis (0.55–0.83) and carpometacarpal-1 osteophytes/cartilage assessment (0.47/0.39). Percentage exact/close agreement was 52–92%/68–100%, except BML in 2 years (28%/64–76%). Smallest detectable change was below the scoring increment, except in SBD and BML.Conclusion.TOMS longitudinal reliability was moderate-good. Limited change hampered assessment.

Detection of brain metastases using alternative magnetic resonance imaging sequences: a comparison between SPACE and VIBE sequences

2020 ◽  
Vol 14 (1) ◽  
pp. 27-35
Author(s):  
Sutasinee Kongpromsuk ◽  
Nantaporn Pitakvej ◽  
Nutchawan Jittapiromsak ◽  
Supada Prakkamakul
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Metastases ◽  
Weighted Space ◽  
Interobserver Reliability ◽  
Intraclass Correlation ◽  
3 Tesla ◽  
Rank Test ◽  
Resonance Imaging ◽  
Contrast Enhanced

AbstractBackgroundAccurate identification of brain metastases is crucial for cancer treatment.ObjectivesTo compare the ability to detect brain metastases of two alternative types of contrast-enhanced three-dimensional (3D) T1-weighted sequences called SPACE (Sampling Perfection with Application optimized Contrasts using different flip angle Evolutions) and VIBE (Volumetric Interpolated Brain Sequence) on magnetic resonance imaging (MRI) at 3 tesla.MethodsBetween April 2017 and February 2018, 27 consecutive adult Thai patients with a total number of 424 brain metastases were retrospectively included. The patients underwent both contrast-enhanced 3D T1-weighted SPACE and 3D T1-weighted VIBE MRI sequences at 3 tesla. Two neuroradiology experts independently reviewed the images to determine the number of enhancing lesions on each sequence. Wilcoxon signed rank test was used to compare the difference between the numbers of detectable parenchymal enhancing lesions. Interobserver reliability was calculated using intraclass correlation.Results3D T1-weighted SPACE detected more parenchymal enhancing lesions than 3D T1-weighted VIBE (424 vs. 378 lesions, median 6 vs. 5, P = 0.008). Fifteen patients (55.6%) had equal number of parenchymal enhancing lesions between two sequences. 3D T1-weighted SPACE detected more parenchymal enhancing lesions (up to 9 more lesions) in 10 patients (37%), while 3D T1-weighted VIBE detected more enhancing lesions (up to 2 more lesions) in 2 patients (7.4%). Interobserver reliability between the readers was excellent.ConclusionContrast-enhanced 3D T1-weighted SPACE sequence demonstrates a higher ability to detect brain metastases than contrast-enhanced 3D T1-weighted VIBE sequence at 3 tesla.

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