Search tips
Search criteria 


Logo of arthrestherBioMed Centralbiomed central web sitesearchsubmit a manuscriptregisterthis articleArthritis Research & Therapy
Arthritis Res Ther. 2017; 19: 55.
Published online 2017 March 14. doi:  10.1186/s13075-017-1262-8
PMCID: PMC5348904

Accuracy of magnetic resonance imaging to detect cartilage loss in severe osteoarthritis of the first carpometacarpal joint: comparison with histological evaluation



Magnetic resonance imaging (MRI) is increasingly used for research in hand osteoarthritis, but imaging the thin cartilage layers in the hand joints remains challenging. We therefore assessed the accuracy of MRI in detecting cartilage loss in patients with symptomatic osteoarthritis of the first carpometacarpal (CMC1) joint.


Twelve patients scheduled for trapeziectomy to treat severe symptomatic osteoarthritis of the CMC1 joint underwent a preoperative high resolution 3D spoiled gradient (SPGR) MRI scan. Subsequently, the resected trapezium was evaluated histologically. The sections were scored for cartilage damage severity (Osteoarthritis Research Society International (OARSI) score), and extent of damage (percentage surface area). Each MRI scan was scored for the area of normal cartilage, partial cartilage loss and full cartilage loss. The percentages of the total surface area with any cartilage loss and full-thickness cartilage loss were calculated using MRI and histological evaluation.


MRI and histological evaluation both identified large areas of overall cartilage loss. The median (IQR) surface area of any cartilage loss on MRI was 98% (82–100%), and on histological assessment 96% (87–98%). However, MRI underestimated the extent of full-thickness cartilage loss. The median (IQR) surface area of full-thickness cartilage loss on MRI was 43% (22–70%), and on histological evaluation 79% (67–85%). The difference was caused by a thin layer of high signal on the articulating surface, which was interpreted as damaged cartilage on MRI but which was not identified on histological evaluation.


Three-dimensional SPGR MRI of the CMC1 joint demonstrates overall cartilage damage, but underestimates full-thickness cartilage loss in patients with advanced osteoarthritis.

Keywords: Magnetic resonance imaging, First carpometacarpal joint, Cartilage, Histology, Osteoarthritis


Osteoarthritis (OA) of the hand is the most prevalent disease of the hand joint, which can lead to pain and functional impairment. The disease is characterized by cartilage loss, subchondral bone changes and inflammation of the synovium. Despite the fact that changes in bone only are directly visible on conventional radiography (CR), and that joint damage on CR is only weakly associated with symptoms [1], it is the most widely used imaging method for assessing structural changes in hand OA in both clinical practice and clinical trials [2, 3].

Magnetic resonance imaging (MRI) is gaining popularity in studies of hand OA [4, 5] as it depicts bone, cartilage, and soft tissue changes, and images the complete joint in multiple planes. As a result, MRI has given us new insights into hand OA, such as the involvement of collateral ligaments [6, 7], the high prevalence of synovitis [8] and significant associations of joint pain with bone marrow lesions (BML) and synovitis [9, 10].

MRI of cartilage in hand OA has been less well-explored, yet accurate cartilage assessment would be a valuable addition to other pathological change detected by MRI in the assessment and follow up monitoring of the whole joint in hand OA. In studies of knee OA, quantification of cartilage using MRI is often an outcome measure in clinical trials, but cartilage imaging in the small joints of the hand is more challenging, as smaller voxel sizes are needed to depict the thin cartilage layer. Previous studies have reported that reliable quantitative evaluation of the cartilage layer in the small joints of the hand can be performed using conventional MRI and small dedicated coils [11, 12].

While in-vivo cartilage quantification with MRI in knee OA correlates well with histological findings [13, 14], to our knowledge, there are no reports in the literature of a comparison between in-vivo MRI cartilage assessment of the hand joints and histological evaluation. As surgery in hand OA is only regularly performed for treatment of OA at the base of the thumb, comparison between MRI and histological evaluation is only feasible in patients with symptomatic thumb base OA.

The aim of this study was therefore to quantitatively compare MRI-detected cartilage loss in patients with OA in the first carpometacarpal (CMC1) joint with histological evaluation.



We recruited 20 symptomatic patients who had been scheduled for trapeziectomy or hemitrapeziectomy to treat OA in the CMC1 joint. From April 2010 until October 2011 consecutive eligible patients at a University hospital and two teaching hospitals in the Netherlands were invited to participate in the study. The indication for surgery was based on severe pain and/or loss of function. Prior to surgery, patients underwent MRI and functional assessment of the thumb. Patients with previous surgery to the base of the thumb, or patients with contra-indications to undergoing MRI were excluded.

Patients were operated on by the surgeon treating them for hand OA. Additionally two healthy controls were included for comparison of MRI images only. This study was approved by the local ethics committees of the participating hospitals. All patients provided written informed consent prior to the investigation.

MRI acquisition

MRI was performed using 3.0 T scanners (GE HD and GE Discovery MR750, GE healthcare, Milwaukee, Wisconsin). Patients were placed in the prone position with the arm extended above the head, the hand placed in the center of the magnet, and the thumb fully extended on a custom-made platform to stabilize and immobilize the hand. A custom-made 4.0-mm loop coil was placed on the dorsal side of the CMC1 joint and taped to the hand. Sagittal 3D fast spoiled gradient (SPGR) sequences with fat saturation (FS) were obtained with a spatial resolution of 0.1 by 0.2 mm (echo time (TE) minimal; field of view (FOV) 3–4 cm; frequency 256–320; phase 128–224; slice thickness 0.7 mm; bandwidth 15.6 kHz; two signals acquired). Proton density (PD)-weighted, fast recovery fast spin echo (FRFSE) sequences were acquired in the coronal and sagittal plane (repetition time (TR) 2400; TE 30; echo train length (ETL) 6; FOV 3–4 cm; frequency 256–320; phase 128–160; slice thickness 1.0 mm; bandwidth 15.6 kHz; three signals acquired). T2-weighted FRFSE sequences with fat saturation were obtained in the coronal direction (TR 3000; TE 68; ETL 6; FOV 4 cm; frequency 192; phase 128; slice thickness 2.0 mm; bandwidth 15.6 kHz; four signals acquired). The scanning acquisition time was 25 minutes.

MRI evaluation

A series of evaluations were made of the MR images from patients in whom histological evaluation was not possible. In the first evaluation, we tested a scoring method for cartilage assessment similar to the MRI OA knee score (MOAKS) [15]. However, we decided not to use this scoring method as the cases tested all received the highest score possible, even though clear differences in cartilage damage were visible on the images. In the second evaluation we tested the currently used scoring method, which uses the same definitions as MOAKS for identification of partial-thickness cartilage loss and full-thickness cartilage loss, but the extent of the cartilage damage is not scored on an ordinal scale from 0–3, but on a ratio scale from 0–100%. After the second evaluation we decided to score a thin layer of one or two voxels of high signal intensity (comparable to cartilage) on the bony surface area as partial-thickness loss, not full-thickness loss.

All images were evaluated by two musculoskeletal radiologists and a hand surgeon (GM, EO and HC) together in consensus. The readers were blinded to patient data, clinical data, histological findings and other imaging results. The anonymized images were read using the open source software ClearCanvas Workstation (ClearCanvas Inc., Toronto, Canada). Using all available sequences, the articular surface of the trapezium was evaluated for grade of cartilage loss as normal cartilage thickness, partial-thickness loss of cartilage, or full-thickness loss of cartilage. On each 0.7-mm SPGR FS slice the readers indicated the surface corresponding to each grade.

Measurements from all slices per patient were summed to compute the total articular surface, total area of normal thickness, total area of partial-thickness loss, total area of full-thickness loss, and total area of any thickness loss (full and partial loss combined). Percentages of these were calculated for comparison with histological findings. The image quality of the SPGR images was scored as either low, sufficient for evaluation, or good. Low means that there is a reasonable chance that error was introduced because of the poor image quality.

The CMC1 joints were scored for presence or absence of osteophytes, erosions/cysts, and subluxation. Osteophytes were defined as abnormal bone formation in the peri-articular region on the SPGR and PD images. Erosions/cysts were considered as a single feature and were defined as sharply marginated bone lesions with increased signal intensity on SPGR images, and intermediate signal on PD images, which were visible in two planes. The joint was considered to be subluxated when 33% or more of the metacarpal surface area was not aligned with the trapezial surface area in the coronal or sagittal plane. Synovitis was not scored as we did not use a contrast agent.

Tissue preparation

During surgery the trapezium bone was extracted as a whole or in multiple parts. If the trapezium was not extracted in one piece, care was taken that the articular area of the trapezium facing the first metacarpal bone was kept intact by splitting the trapezium horizontally leaving at least 5 mm of the distal trapezium intact. The resected trapezium was fixed in neutral buffered 10% formalin in the operating room. Trapezium bones were decalcified in formic acid. Large decalcified specimens were cut in half and all samples were embedded in paraffin. Each millimeter, a  5-μm-thick section was cut in the sagittal direction of the bone, mounted and stained with thionin [16].

Histological evaluation

All histological sections were scored for cartilage damage by a trained researcher (MS). To determine the reproducibility of these scores, 10 patients were also scored by GvO, an experienced cartilage researcher. The scorers were blinded to the results of the MRI evaluation.

All available sections were scored for severity and extent of cartilage damage. Severity of cartilage damage was scored according to the semi-quantitative grading and staging system devised by the Osteoarthritis Research Society International (OARSI) Working Group [17]. Grade, defined by depth of cartilage damage, and stage defined by the extent of horizontal cartilage damage were assessed. The OARSI grading system consists of six grades that describe increasing depth of damage to the cartilage damage. Grades 1–4 are subsequently described as: grade 1, edema or cell changes with an intact surface; grade 2, small surface discontinuities; grade 3, vertical fissures; and grade 4, delamination of the superficial zone. For comparison with MRI we defined grades 1–4 together as “cartilage with (near) normal thickness”. Grade 4.5 is described as mid-zone excavation, and was defined by us as “partial thickness loss of cartilage” for comparison with MRI. Grades 5 and 6 are described as: grade 5, complete erosion of hyaline cartilage to the level of mineralized bone; and grade 6, deformation and change in the contour of the articular surface. For comparison with MRI we defined grades 5 and 6 together as “full-thickness cartilage loss” (see Fig. 1 for examples).

Fig. 1
Example images of histological grading (a-c) and magnetic resonance imaging scoring (d-f), all from one patient. Arrows (d-f) indicate locations shown in a-c. a, d Cartilage of (near) normal thickness. b, e Partial-thickness loss of cartilage. ...

Each histological section was scored for the amount of the articular surface that corresponded to each grade in decimals of percentage (i.e., either 0%, 10%, 20%, etc). The sum of the scores for each section had to be 100%. If there was no identifiable articular surface in a section, then no score was assigned to that section. Finally, all section scores per patient were averaged to calculate the total percentage area of (near) normal cartilage thickness, partial loss of cartilage thickness, and full loss of cartilage thickness.

Statistical analysis

Descriptive statistics were used to describe the results of MRI and histological evaluation. Inter-reader reliability of the histology scores was calculated using the intraclass correlation coefficient (ICC). The ICC values were calculated as two-way random, single measures of absolute agreement [18].



Twenty patients and two healthy controls were included in the study. In five patients, the trapezium was very deformed and could not be extracted without severely damaging the distal articular surface. We were therefore unable to obtain histological specimens from these patients. During histological analysis of the 15 specimens, we noticed that a considerable part of the articular surface was missing in the specimens of 3 patients. These patients were excluded from further analysis. The MRI scans of the excluded patients were used for training and calibration of the MRI score.

The final patient group consisted of 12 patients; two were male and 10 were female, with an average age of 60 (range 46–77) years. The median number of days between MRI and surgery was 8 (range 1–39). Mean grip strength (SD) was 23 (11) kg and mean pinch strength (SD) was 3.8 (0.9) kg. Self-reported pain assessed by visual analog score (possible range 0–100) varied widely between patients. The median (IQR) pain score at rest was 19 (5–31), and the median pain score during thumb movement was 57 (37–67).


The image quality in 8 out of our 12 patients was adequate or higher, but was low in the other 4 patients. All patients had one or more osteophytes at the trapezium. All but one patient had cysts and/or erosions on the trapezium, and 7 out of 12 CMC1 joints were malaligned or subluxated. Overall cartilage damage was severe (Table 1). All patients had at least one small area with full-thickness cartilage loss; 5 out of 12 patients did not have any remaining area of cartilage of normal thickness. The median (IQR) surface area of trapezial cartilage damage was 98% (82–100%). The percentage area with full-thickness loss of cartilage was 43% (22–70%). The image quality in both healthy controls was good, and they both had normal cartilage layers, without any damage.

Table 1
Histological and MRI scores for each individual patient

Histological evaluation

The mean number of histological sections acquired from each trapezium containing articular surface was 10 (range 9–14). Ten patients were scored independently by both readers. For inter-reader reliability of the detection of any cartilage loss over all scored sections containing articular surface (n = 100) was ICC = 0.70 (95%CI = 0.53-0.81), and the inter-reader reliability over all sections for full cartilage loss, the ICC was 0.84 (95% CI 0.76–0.90). Overall cartilage quality was poor (Table 1). No patient had any normal healthy cartilage remaining. The best cartilage observed had a histological grade of 3, with vertical fissures extending from the surface into the mid zone and depletion of matrix staining in the upper half of the cartilage. In 11 out of 12 patients there was complete erosion of the cartilage on more than half of the articulating surface. The median (IQR) surface area of trapezial cartilage damage was 96% (87–98%). The percentage area with full-thickness loss of cartilage was 79% (67–85%).

After analysis, the largest differences between histological scores were in areas near osteophytes, which were sometimes partly covered with cartilage (Fig. 2). For scoring purposes osteophytes were excluded from the articular surface, and the cartilage formed on top of osteophytes was ignored. The lack of a clear anatomical landmark between the articular surface and osteophytes was the main cause of variations in scoring, as the region where the articular surface stopped and the osteophyte began was inconsistently scored.

Fig. 2
a Part of a histological section obtained from one of the patients. An osteophyte is visible on the right side. The remaining cartilage partially continues to cover the articulating surfaces of the osteophyte. b Spoiled gradient magnetic resonance image ...

MRI vs histological evaluation

Both MRI and histological evaluation identified large areas of cartilage loss, with histological evaluation identifying slightly larger areas compared with MRI. The individual scores for each patient obtained by the two modalities are represented in Fig. 3. Histological evaluation identified substantially larger areas with full loss of cartilage than MRI (Fig. 4). Retrospective direct comparison of SPGR images and histological sections showed that the difference between MRI and histological evaluation in scoring any cartilage loss could in most cases be attributed to a thin layer of high signal intensity on the bony surface, which was scored as cartilage on MRI, but was not identified as cartilage on histological evaluation (Fig. 5).

Fig. 3
Relative area of the trapezial articular surface with any loss of cartilage identified. Each dot represents one patient measured by magnetic resonance imaging (MRI) and histological evaluation. Perfect agreement would result in all dots being positioned ...
Fig. 4
Relative area of the trapezial articular surface with full-thickness loss of cartilage identified. Each dot represents one patient measured by magnetic resonance imaging (MRI) and histological evaluation. Perfect agreement would result in all dots being ...
Fig. 5
a Zoomed spoiled gradient, magnetic resonance image with fat saturation, of the first carpometacarpal joint (CMC1) in a healthy volunteer, showing a thick cartilage layer with high signal intensity. b Image of the CMC1 joint in a patient. Arrow indicates ...

Image quality for MRI was scored as low in 4 out of 12 patients due to motion artifacts and inability to place the surface coil in the optimal position because of disfigurement of the joint. However, we did not find a relationship between image quality and discrepancies between MRI and histological evaluation.


Our study showed that the overall extent of cartilage loss in small joints of the hand could be detected with 3D SPGR MRI. However, MRI underestimated the area of full-thickness loss of cartilage.

Previous studies have shown that the SPGR sequence is an accurate sequence to image cartilage in the knee joint [19, 20]. While it has been shown that SPGR may overestimate cartilage damage in early OA due to magnetic field inhomogeneity artifacts, considerable underestimation of cartilage damage has not been reported.

In previous studies assessing the accuracy of detection of cartilage defects and/or cartilage volume in the knee using MRI, the patient group either consisted of patients with relatively little damage, [19, 2123] or the areas with severe cartilage damage were not analyzed [14, 24]. In the studies of patients with knee OA and relatively little cartilage damage, SPGR MRI had high sensitivity and specificity for detecting cartilage lesions in comparison with arthroscopy [19, 23] and very good correlation with cartilage thickness in comparison with histological evaluation [22].

The underestimation of full cartilage loss with MRI was caused by the thin layers of high signal on the articular surface that were visible on SPGR MRI, which were interpreted as thin layers of damaged cartilage. On retrospective comparison of the acquired SPGR and PD images and histological evaluation, the thin layers of high signal intensity on SPGR images were not identifiable on the PD images, and histological examination identified bare bone at the corresponding locations. These thin lines of high signal intensity adjacent to subchondral bone have previously received little attention in knee OA, as the line is very thin compared to the thicker knee cartilage, and has been counted as full loss of cartilage thickness in MRI knee OA studies [25]. The same kind of thin lines were previously described by Yoshioka et al. [26] in healthy volunteers on the posterior region of the femoral condyle within normal cartilage. The origin of this line is unclear. In our study it may have been caused by an artifact, but we cannot exclude the possibility that it represents a real anatomical substrate, such as a loose-lying layer of thin soft tissue, which may be lost during histological preparation.

We recognize that our study has limitations. First, the study design required patients to be scheduled for trapeziectomy, limiting the spectrum of disease severity. However, this is the only feasible method for acquiring in vivo histological specimens of cartilage from the small joints of the hand. To maximize the variation in cartilage status between our subjects, we included all patients undergoing trapeziectomy for treatment of pain and functional impairment, irrelevant of the severity of OA as determined radiographically. While we expected to also include some patients with mild cartilage damage, all our patients had severe cartilage damage on histological evaluation. Patients with milder OA or pre-clinical OA will have less damaged cartilage, but as mild thinning of the cartilage was also detectable in the less damaged areas of the joints in our patients, we expect that the imaging method can be used in patients with less severe OA.

The second limitation concerns image quality. Four out of twelve of our MRI examinations were of poor image quality, which may have impacted the MRI results of these four patients. Our coil was a loop coil with a diameter of 40 mm, which was optimal for imaging the CMC1 joint in healthy volunteers. However, in our patients with CMC1 OA, the distance between the coil and the center of the joint was larger because of the presence of osteophytes and subluxation, and the inability of patients to hold the thumb in full extension for optimal coil placement, reducing signal-to-noise ratio. Motion artIfacts also had a big impact on image quality. Improvements in either patient/coil positioning or the coil itself should be able to increase overall image quality.

The third limitation concerns the chosen MRI pulse sequence. We chose to assess cartilage with a 3D SPGR fat-suppressed pulse sequence for its high in-plane resolution with thin 0.7-mm slices, to be able to detect small cartilage lesions. This pulse sequence has previously shown promising results in the small joints of the finger [11, 27]. In healthy volunteers this sequence clearly delineated high-signal cartilage layers. In our study population of patients with advanced osteoarthritis only and with histologically proven abnormal cartilage, the signal intensity of cartilage was lower than expected based on MRI in healthy volunteers. Our MRI readers, therefore, sometimes had trouble delineating the cartilage from the joint fluid, which is a known disadvantage of this pulse sequence [28, 29]. While this will have introduced some error in the results, this was often resolved after crosschecking with the PD and T2 FSE sequences to make the distinction between fluid and cartilage. In this study we did not detect any small focal areas of cartilage loss, raising the question whether such thin slices are required to evaluate cartilage damage in advanced OA. Other pulse sequences such as dual-echo steady state (DESS), SPGR with iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL), and true fast imaging with steady state precession (TrueFISP) have been found to have better cartilage-to-fluid contrast in the knee joints in healthy volunteers [28, 29]. If these sequences can be adequately optimized for the small FOV and high resolution, they may improve accuracy for detecting cartilage damage in the small joints of the hand.

Our MRI scoring method worked in a small number of patients, but is too time-consuming for larger studies. We chose this method to be as accurate as possible, but would not advise it for use in larger studies; instead, either automated segmentation for detailed detection of cartilage damage or a semi-quantitative score would probably be better.


Three-dimensional SPGR MRI of the carpometacarpal joint of the thumb is able to detect the overall extent of cartilage damage. However, in severe cartilage damage, a layer of high signal intensity on the bone can be seen on 3D SPGR MRI, which does not always correspond to cartilage on histological evaluation, and could therefore lead to overestimation of the remaining cartilage.


We would like to thank participating hand surgeons Professor SER Hovius, Dr ET Walbeehm and Dr CA van Nieuwenhoven for their effort during surgery to keep the trapezium intact; Nicole Kops of the department of orthopedics for preparing the histological sections; Professor JMW Hazes, chair of the department of rheumatology, for her part in acquiring funding; and Professor GP Krestin, chair of the department of radiology, for use of the department’s MRI facilities.


This study was funded by an internal Erasmus MC grant, aimed at promoting cooperation of multiple internal research departments. The funding source had no active role in the study.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

MS contributed to the design, collected the MRI data, performed histological scoring, performed the analysis, and drafted the manuscript. HC contributed to the design, provided some of the patients, scored the MRI data, and revised the manuscript. RS, JvN, and JL obtained the funding, conceived the study, helped with design, and revised the manuscript. JJ provided most of the patients and revised the manuscript. GvO contributed to design, performed histological scoring, and critically revised the manuscript. EO scored the MRI data and critically revised the manuscript. GM contributed to design, scored the MRI data, helped with interpretation of data, and helped draft the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Written consent was acquired from the patients for the use of their histological and magnetic resonance images in this paper.

Ethics approval and consent to participate

This study was approved by the Medical Ethical Committee of the Erasmus medical centre. All patients provided written informed consent prior to the investigation.


Bone marrow lesions
First carpometacarpal joint
Conventional radiology
Echo train length
Field of view
Fast recovery fast spin echo
Fat suppression
Intraclass correlation coefficient
Magnetic resonance imaging osteoarthritis knee score
Magnetic resonance imaging
Osteoarthritis Research Society International
Proton density
Spoiled gradient
Echo time
Repetition time

Contributor Information

Michael S. Saltzherr, Phone: +31 10 7042006, ln.cmsumsare@rrehztlas.m.

J. Henk Coert, ln.thcertucmu@treoc.h.j.

Ruud W. Selles, ln.cmsumsare@selles.r.

Johan W. van Neck, ln.cmsumsare@kcennav.j.

Jean-Bart Jaquet, ln.siuhnekeizdatssaam@jteuqaj.

Gerjo J. V. M. van Osch, ln.cmsumsare@hcsonav.g.

Edwin H. G. Oei, ln.cmsumsare@ieo.e.

Jolanda J. Luime, ln.cmsumsare@emiul.j.

Galied S. R. Muradin, ln.cmsumsare@nidarum.g.


1. Dahaghin S, Bierma-Zeinstra SM, Ginai AZ, et al. Prevalence and pattern of radiographic hand osteoarthritis and association with pain and disability (the Rotterdam study) Ann Rheum Dis. 2005;64(5):682–7. doi: 10.1136/ard.2004.023564. [PMC free article] [PubMed] [Cross Ref]
2. Maheu E, Altman RD, Bloch DA, et al. Design and conduct of clinical trials in patients with osteoarthritis of the hand: recommendations from a task force of the Osteoarthritis Research Society International. Osteoarthritis Cartilage. 2006;14(4):303–22. doi: 10.1016/j.joca.2006.02.010. [PubMed] [Cross Ref]
3. Kloppenburg M, Bøyesen P, Smeets W, et al. Report from the OMERACT Hand Osteoarthritis Special Interest Group: advances and future research priorities. J Rheumatol. 2014;41(4):810–8. doi: 10.3899/jrheum.131253. [PubMed] [Cross Ref]
4. Haugen IK, Lillegraven S, Slatkowsky-Christensen B, et al. Hand osteoarthritis and MRI: development and first validation step of the proposed Oslo hand osteoarthritis MRI score. Ann Rheum Dis. 2011;70(6):1033–8. doi: 10.1136/ard.2010.144527. [PubMed] [Cross Ref]
5. Haugen IK, Ostergaard M, Eshed I, et al. Iterative development and reliability of the OMERACT hand osteoarthritis MRI scoring system. J Rheumatol. 2014;41(2):386–91. doi: 10.3899/jrheum.131086. [PubMed] [Cross Ref]
6. Tan AL, Grainger AJ, Tanner SF, et al. High-resolution magnetic resonance imaging for the assessment of hand osteoarthritis. Arthritis Rheum. 2005;52(8):2355–65. doi: 10.1002/art.21210. [PubMed] [Cross Ref]
7. Tan AL, Toumi H, Benjamin M, et al. Combined high-resolution magnetic resonance imaging and histological examination to explore the role of ligaments and tendons in the phenotypic expression of early hand osteoarthritis. Ann Rheum Dis. 2006;65(10):1267–72. doi: 10.1136/ard.2005.050112. [PMC free article] [PubMed] [Cross Ref]
8. Wittoek R, Jans L, Lambrecht V, et al. Reliability and construct validity of ultrasonography of soft tissue and destructive changes in erosive osteoarthritis of the interphalangeal finger joints: a comparison with MRI. Ann Rheum Dis. 2011;70(2):278–83. doi: 10.1136/ard.2010.134932. [PubMed] [Cross Ref]
9. Haugen IK, Boyesen P, Slatkowsky-Christensen B, et al. Associations between MRI-defined synovitis, bone marrow lesions and structural features and measures of pain and physical function in hand osteoarthritis. Ann Rheum Dis. 2012;71(6):899–904. doi: 10.1136/annrheumdis-2011-200341. [PubMed] [Cross Ref]
10. Haugen IK, Slatkowsky Christensen B, Boyesen P, et al. Increasing synovitis and bone marrow lesions are associated with incident joint tenderness in hand osteoarthritis. Ann Rheum Dis. 2016;75(4):702–8. doi: 10.1136/annrheumdis-2014-206829. [PubMed] [Cross Ref]
11. Peterfy CG, van Dijke CF, Lu Y, et al. Quantification of the volume of articular cartilage in the metacarpophalangeal joints of the hand: accuracy and precision of three-dimensional MR imaging. AJR Am J Roentgenol. 1995;165(2):371–5. doi: 10.2214/ajr.165.2.7618560. [PubMed] [Cross Ref]
12. Lazovic-Stojkovic J, Mosher TJ, Smith HE, et al. Interphalangeal joint cartilage: high-spatial-resolution in vivo MR T2 mapping–a feasibility study. Radiology. 2004;233(1):292–6. doi: 10.1148/radiol.2331031791. [PubMed] [Cross Ref]
13. Dupuy DE, Spillane RM, Rosol MS, et al. Quantification of articular cartilage in the knee with three-dimensional MR imaging. Acad Radiol. 1996;3(11):919–24. doi: 10.1016/S1076-6332(96)80299-6. [PubMed] [Cross Ref]
14. Saadat E, Jobke B, Chu B, et al. Diagnostic performance of in vivo 3-T MRI for articular cartilage abnormalities in human osteoarthritic knees using histology as standard of reference. Eur Radiol. 2008;18(10):2292–302. doi: 10.1007/s00330-008-0989-7. [PMC free article] [PubMed] [Cross Ref]
15. Hunter DJ, Guermazi A, Lo GH, et al. Evolution of semi-quantitative whole joint assessment of knee OA: MOAKS (MRI osteoarthritis knee score) Osteoarthritis Cartilage. 2011;19(8):990–1002. doi: 10.1016/j.joca.2011.05.004. [PMC free article] [PubMed] [Cross Ref]
16. Bulstra SK, Drukker J, Kuijer R, et al. Thionin staining of paraffin and plastic embedded sections of cartilage. Biotech Histochem. 1993;68(1):20–8. doi: 10.3109/10520299309105572. [PubMed] [Cross Ref]
17. Pritzker KP, Gay S, Jimenez SA, et al. Osteoarthritis cartilage histopathology: grading and staging. Osteoarthritis Cartilage. 2006;14(1):13–29. doi: 10.1016/j.joca.2005.07.014. [PubMed] [Cross Ref]
18. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86(2):420–8. doi: 10.1037/0033-2909.86.2.420. [PubMed] [Cross Ref]
19. Disler DG, McCauley TR, Kelman CG, et al. Fat-suppressed three-dimensional spoiled gradient-echo MR imaging of hyaline cartilage defects in the knee: comparison with standard MR imaging and arthroscopy. AJR Am J Roentgenol. 1996;167(1):127–32. doi: 10.2214/ajr.167.1.8659356. [PubMed] [Cross Ref]
20. Recht MP, Piraino DW, Paletta GA, et al. Accuracy of fat-suppressed three-dimensional spoiled gradient-echo FLASH MR imaging in the detection of patellofemoral articular cartilage abnormalities. Radiology. 1996;198(1):209–12. doi: 10.1148/radiology.198.1.8539380. [PubMed] [Cross Ref]
21. McGibbon CA, Trahan CA. Measurement accuracy of focal cartilage defects from MRI and correlation of MRI graded lesions with histology: a preliminary study. Osteoarthritis Cartilage. 2003;11(7):483–93. doi: 10.1016/S1063-4584(03)00078-5. [PubMed] [Cross Ref]
22. Kladny B, Martus P, Schiwy-Bochat KH, et al. Measurement of cartilage thickness in the human knee-joint by magnetic resonance imaging using a three-dimensional gradient-echo sequence. Int Orthop. 1999;23(5):264–7. doi: 10.1007/s002640050367. [PMC free article] [PubMed] [Cross Ref]
23. Yoshioka H, Stevens K, Hargreaves BA, et al. Magnetic resonance imaging of articular cartilage of the knee: comparison between fat-suppressed three-dimensional SPGR imaging, fat-suppressed FSE imaging, and fat-suppressed three-dimensional DEFT imaging, and correlation with arthroscopy. J Magn Reson Imaging. 2004;20(5):857–64. doi: 10.1002/jmri.20193. [PubMed] [Cross Ref]
24. Burgkart R, Glaser C, Hyhlik-Durr A, et al. Magnetic resonance imaging-based assessment of cartilage loss in severe osteoarthritis: accuracy, precision, and diagnostic value. Arthritis Rheum. 2001;44(9):2072–7. doi: 10.1002/1529-0131(200109)44:9<2072::AID-ART357>3.0.CO;2-3. [PubMed] [Cross Ref]
25. Frobell RB, Wirth W, Nevitt M, et al. Presence, location, type and size of denuded areas of subchondral bone in the knee as a function of radiographic stage of OA - data from the OA initiative. Osteoarthritis Cartilage. 2010;18(5):668–76. doi: 10.1016/j.joca.2009.12.011. [PMC free article] [PubMed] [Cross Ref]
26. Yoshioka H, Stevens K, Genovese M, et al. Articular cartilage of knee: normal patterns at MR imaging that mimic disease in healthy subjects and patients with osteoarthritis. Radiology. 2004;231(1):31–8. doi: 10.1148/radiol.2311020453. [PubMed] [Cross Ref]
27. Kwok WE, You Z, Monu J, et al. High-resolution uniform MR imaging of finger joints using a dedicated RF coil at 3 T. J Magn Reson Imaging. 2010;31(1):240–7. doi: 10.1002/jmri.21984. [PMC free article] [PubMed] [Cross Ref]
28. Siepmann DB, McGovern J, Brittain JH, et al. High-resolution 3D cartilage imaging with IDEAL SPGR at 3 T. AJR Am J Roentgenol. 2007;189(6):1510–5. doi: 10.2214/AJR.07.2661. [PubMed] [Cross Ref]
29. Friedrich KM, Reiter G, Kaiser B, et al. High-resolution cartilage imaging of the knee at 3 T: Basic evaluation of modern isotropic 3D MR-sequences. Eur J Radiol. 2011;78(3):398–405. doi: 10.1016/j.ejrad.2010.01.008. [PubMed] [Cross Ref]

Articles from Arthritis Research & Therapy are provided here courtesy of BioMed Central