Literature DB >> 26632537

MR Imaging-based Semi-quantitative Methods for Knee Osteoarthritis.

Mohamed Jarraya1, Daichi Hayashi, Frank Wolfgang Roemer, Ali Guermazi.   

Abstract

Magnetic resonance imaging (MRI)-based semi-quantitative (SQ) methods applied to knee osteoarthritis (OA) have been introduced during the last decade and have fundamentally changed our understanding of knee OA pathology since then. Several epidemiological studies and clinical trials have used MRI-based SQ methods to evaluate different outcome measures. Interest in MRI-based SQ scoring system has led to continuous update and refinement. This article reviews the different SQ approaches for MRI-based whole organ assessment of knee OA and also discuss practical aspects of whole joint assessment.

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Year:  2015        PMID: 26632537      PMCID: PMC5600052          DOI: 10.2463/mrms.rev.2015-0058

Source DB:  PubMed          Journal:  Magn Reson Med Sci        ISSN: 1347-3182            Impact factor:   2.471


Introduction

Over the last two decades magnetic resonance imaging (MRI) has increasingly established itself as the most important imaging modality in assessing joint pathology in the clinical and research environment.[1] Initially, cartilage was in the focus of clinical and epidemiological studies applying MRI for the assessment of knee osteoarthritis (OA),[2-4] and semi-quantitative (SQ) scoring methods were introduced for that purpose for both cross-sectional and longitudinal evaluations.[5-7] However, the potential of MRI for the assessment of other joint structures was soon recognized.[8-11] Validated tools for whole-organ assessment of the OA joint were subsequently introduced to better reflect the complexity of interaction of different joint components in knee OA.[6,12,13] These tools have since been applied to several OA studies, which greatly added to the understanding of the pathophysiology and natural history of knee OA as well as the clinical and prognostic implications of structural changes assessed.[14-25] MRI-based SQ assessment is based on multi-feature grading of the knee joint using conventional acquisition techniques that are applied in a clinical environment. Scores are visually (semi-quantitatively) assigned by expert readers to a variety of features believed to be relevant to the functional integrity of the knee, or potentially involved in the pathophysiology of OA, or both. These features include cartilage damage, subarticular bone marrow lesions (BMLs) (or bone marrow edema-pattern), subchondral cysts, subarticular bone attrition, marginal and central osteophytes, medial and lateral meniscal tears and extrusions, anterior and posterior cruciate ligaments damage, medial and lateral collateral ligament damage, synovitis and effusion, and intra-articular loose bodies, as well as periarticular cysts and bursitis. The first comprehensive MRI-based SQ scoring system was published in 2004, and named Whole Organ Magnetic Resonance Score (WORMS).[6] WORMS has been extensively used in OA studies worldwide. Since then three more additional scoring systems have been introduced; the Knee Osteoarthritis Scoring System (KOSS), the Boston Leeds Osteoarthritis Score (BLOKS), and the MRI Osteoarthritis Knee Score (MOAKS).[12,13,26] In this article, we aim to review the different SQ approaches for MRI-based whole organ assessment of knee OA and also discuss practical aspects of whole joint assessment.

Technical Considerations

Since OA affects several joint structures, and is believed to progress through multiple pathogenic pathways, the MRI sequence protocol has to support multi-feature structural assessment of the knee. An optimal protocol includes the minimum number of sequences possible without compromising the integrity of whole-organ assessment of most articular features. Intermediate weighted “fluid-sensitive” fat-suppressed fast spin echo (FSE) sequences (applying a frequency-selective saturation pulse) are particularly important and should be acquired in three different orthogonal planes (axial, sagittal, and coronal) for accurate localization and volume estimation of BMLs in different joint compartments.[27] As an alternative, short tau inversion recovery (STIR) sequences or similar inversion recovery sequences may be applied, as these are very robust especially concerning susceptibility artifacts.[28] Other methods of fat suppression such as water excitation (e.g., fast low angle shot, FLASH) are less suited as these depict BMLs inferiorly and are prone to susceptibility artifacts.[29] Standard FSE fat suppressed sequences are also optimal for assessment of focal cartilage defects.[30] On the other hand, gradient echo sequences, such as dual-echo steady state (DESS), fast low-angle shot (FLASH), and spoiled gradient-recalled (SPGR), have been shown to be insensitive for BML detection,[27,31] but are well suited for cartilage evaluation, especially for quantitative analysis such as measurement of volume and thickness.[32] Gradient-echo sequences are particularly prone for susceptibility artifacts, which are likely to represent vacuum phenomenon within the OA joints.[33] Sagittal or coronal three-dimensional (3D) high-resolution GRE sequences help in the optimal evaluation of articular cartilage and osteophytes, and offer the possibility of three-plane reconstruction. A sagittal or coronal T1-weighted spin echo sequence may be added for better visualization of osteophytes, loose bodies, and sclerosis.[27] Designing an optimal pulse sequence protocol depends on the structures/features that will be included in the assessment and the measurement methods applied, e.g., SQ and/or quantitative analyses, as well as the convenience and cost. Recommendations for choosing appropriate MRI protocols for assessment of OA features have been published.[34] Suggested pulse sequences for optimum SQ evaluation of knee OA include “fluid-sensitive” FSE sequences (2D) in three orthogonal planes. Axial images are optimal for the study of effusion/synovitis, popliteal cysts, and different OA features of the femoropatellar and posterior femoral compartments. Sagittal and coronal images are helpful in assessing the central femoro-tibial compartment, as well as the menisci. The study of ligaments requires the use of all three orthogonal planes. 3D high-resolution MR sequences can be obtained in any plane and reformatted in two other orthogonal views. These volumetric images contribute to optimal evaluation of cartilage and osteophytes. Sagittal/coronal T1-weighted images are helpful for osteophyte and meniscus evaluation.[27,35] Recently, 3D FSE fat suppressed sequences have been introduced that allow triplanar reformation with acquisition of a single sequence to achieve similar imaging characteristics as with three orthogonal 2D sequences. Drawback is blurring, which has hindered wide spread application in OA research. One study showed comparable results for 2D vs. 3D FSE sequences for SQ OA assessment.[36]

SQ Assessment of Knee Joint in Osteoarthritis

Whole joint assessment on knee MRI

MRI-based whole organ scoring of different joint structures has shown adequate reliability, specificity, sensitivity, and responsiveness.[6,12,13,17,37] Since the publication of the MRI-based comprehensive SQ scoring system by Peterfy et al. in 2004,[6] named WORMS, three additional whole-organ systems for the knee have been introduced: KOSS,[13] BLOKS.[12] and MOAKS.[26] All the SQ scoring systems described in this review are publicly available; however images should be read by trained readers for accurate and reliable grading. In 2011, a study comparing SQ and quantitative approaches for the assessment of cartilage damage and BML showed that quantitative analyses are more sensitive to change during a 24-month observation period than SQ scoring.[38] The relative lack of sensitivity to change is a potential weakness of semi-quantitative approaches when compared to quantitative methods. Therefore, scoring “within-grade” changes between time points have been introduced to increase longitudinal sensitivity.[39] These within-grade changes designate a definite change from the previous visit that does not fulfill the criteria of a full grade change as defined by the scoring system. Also, clinical relevance of within-grade changes has been established as they were shown to be associated with known OA risk factors and outcomes.[39] Scoring within-grade change is particularly useful in clinical trials, since full-grade changes may not occur within a relatively short follow-up of <1 year[40] in a typical clinical trial of OA. When deciding which scoring system should be applied for the assessment of a given study, different aspects have to be considered such as the outcome measures that are relevant to the study, the resources, and the available image data set.[1]

Whole Organ Magnetic Resonance Imaging Score (WORMS)

Peterfy et al. published WORMS in 2004.[6] Many epidemiologic studies and clinical trials have used WORMS to semi quantitatively assess several OA features of the knee.[14,41,42] To date, WORMS is the most widely cited MRI-based SQ scoring system for knee OA with 197 citations in a “PUBMED” search as of May 2015. In the WORMS protocol, a complex system for division of the knee is used, based on a subregional rather than lesion-oriented approach to scoring, especially for cartilage (Fig. 1), BMLs, and cysts. The advantage of the subregional approach is that for each subregion multiple lesions are evaluated together, which facilitates interpretation and subsequent analysis of data (Figs. 2, 3). Defining the exact number of lesions can be difficult since these can merge or split over the course of longitudinal studies. Furthermore, WORMS is the only SQ scoring system that assesses subchondral bone attrition, defined as flattening or depression of the articular surface unrelated to trauma.
Fig. 1.

Typical image examples for different types of cartilage damage. (A) A focal superficial defect (arrow) not reaching the subchondral plate is shown in this coronal intermediate-weighted MRI (arrow). Lesion will be coded as a grade 1.0 lesion in MOAKS or as grade 2 in WORMS. (B) Coronal intermediate-weighted MRI shows a focal defect (arrow) that reaches the subchondral plate and is consequently defined as a grade 1.1 lesion using MOAKS. In WORMS this lesion would be scored as a 2.5 lesion. A 2.5 lesion is not a reflection of a within-grade coding but a distinct grade by itself. (C) Sagittal intermediate-weighted fat-suppressed MRI depicts diffuse full thickness cartilage damage in the central subregion of the medial femur and the central medial tibia (large arrows) representing grade 2.2. lesions in MOAKS, and grade 5 lesions in WORMS. There are associated subchondral bone marrow lesions (small arrows). MOAKS, MRI Osteoarthritis Knee Score; MRI: magnetic resonance imaging; WORMS, Whole Organ Magnetic Resonance Score.

Fig. 2.

Example of longitudinal assessment of bone marrow lesions (BMLs) in the lateral tibio-femoral compartment. (A) Baseline sagittal intermediate-weighted fat-suppressed MRI shows a grade 2 MOAKS/grade 3 WORMS BML in the anterior lateral femur displaying high signal intensity, comprised of an ill-defined (edema-like) component (large arrows) and a well-defined cystic component (small arrows). In addition, there are small cystic BMLs in the subchondral anterior and posterior lateral tibia (small arrows). (B) Follow-up MRI 1 year later shows slight decrease of overall lesion size (within-grade change for MOAKS, and change from grade 3 to grade 2 for WORMS) in the femur (large arrows, black-filled) but increase of size of femoral cystic component (small arrows). Note regression of cystic lesion in the posterior lateral tibia and increase of ill-defined (edema-like) portion of BML in the anterior lateral tibia (large arrow, gray-filled). MOAKS, MRI Osteoarthritis Knee Score; MRI: magnetic resonance imaging; WORMS, Whole Organ Magnetic Resonance Score.

Fig. 3.

Longitudinal evaluation of BMLs. Relevance of lesional vs. subregional scoring. (A) Baseline sagittal intermediate-weighted fat-suppressed MRI shows two distinct ill-defined BMLs at the central subregion of the medial femur (arrows). Overall lesion size in subregion qualifies as a grade 1 MOAKS/grade 2 WORMS lesion. (B) Follow-up MRI 1 year later shows within-grade increase in overall subregional lesion size in the same subregion. In contrast to image A, now three distinct lesions are observed (arrows). The single anterior lesion has split into two lesions with a decrease in lesion size, while the previous posterior lesion shows now an increase in lesion size. (C) Two-year follow-up MRI shows a decrease in overall femoral BML size with now a total subregional score of 1 using WORMS and MOAKS. There are two distinct lesions now with the most anterior lesion from image B showing complete regression. No cystic component of any of the lesions is observed. There is a large (grade 3 WORMS and MOAKS) incident lesion in the posterior medial tibia. BML, bone marrow lesion; MOAKS, MRI Osteoarthritis Knee Score; MRI: magnetic resonance imaging; WORMS, Whole Organ Magnetic Resonance Score.

KOSS

Kornaat et al. introduced KOSS in 2005.[13] Although it covers similar OA features to those analyzed using WORMS (Table 1), cartilage status, BMLs, and cysts are scored individually for each subregion in KOSS (rather than additively in WORMS). The different BML grades are differentiated by the size of the lesion. Synovitis is scored present or absent on T1-weighted gradient-recalled echo images. Scoring of meniscal tear is more complex than WORMS, but does not take into account the regional subdivision, nor does it score partial or complete maceration. Meniscal subluxation is scored in addition to meniscal morphology. Furthermore KOSS uses a different subregional division than WORMS.
Table 1.

Comparison of different semi-quantitative scoring system of knee osteoarthritis. Changes in MOAKS refer to original BLOKS and WORMS score

WORMSKOSSBLOKSMOAKS
Subregional division of knee15 subregions: medial/lateral patella, medial/lateral femur (anterior, central, posterior), medial/lateral tibia (anterior, central, posterior), subspinous tibia9 subregions: medial patella, patellar crest, lateral patella, medial/lateral trochlea, medial/lateral femoral condyle, media/lateral tibial plateau9 subregions: medial/lateral patella, medial/lateral trochlea, medial/lateral weight-bearing femur, medial/lateral weight-bearing tibia, subspinous tibia15 subregions: medial/lateral patella, medial/lateral femur (anterior, central, posterior), medial/lateral tibia (anterior, central, posterior), subspinous tibia for BML only
Scored MR imaging features
CartilageSubregional approach: scored from 0 to 6 depending on the depth and extent of cartilage loss. Intrachondral cartilage signal additionally scored as present or absentSubregional approach: focal and diffuse defects are differentiated. Depth of lesions is scored from 0 to 3Diameter of lesion is scored from 0 to 3Osteochondral defects are scored separatelyTwo different scores

Score 1: subregional approach

Percentage of any cartilage loss in subregion

Percentage of full-thickness cartilage loss in subregion

Score 2: site-specific approach. Scoring of cartilage thickness at 11 specific locations (not subregions) from 0 [none to 2 (full thickness loss)]

Compared to BLOKS:

Score 1: same

Score 2: omitted

Bone marrow lesionsSummed BML size/volume for subregion from 0 to 3 in regard to percentage of subregional bone volumeIndividual lesions from 0 to 3 concerning maximum diameter of lesionIndividual lesions. Three aspects are scored:

Size: form 0 to 3, concerning percentage of subregional bone volume (thresholds, 10–85%).

Percentage of surface area adjacent to subchondral plate.

Percentage of BML that is noncystic

Summed BML for subregion Three aspects scored:

Size: from 0 to 3, concerning percentage of subregional bone volume (thresholds, 33–66%)

Percentage of surface area adjacent to subchondral bone omitted

Percentage of BML that is noncystic unchanged

Count number of lesions for subregion added

Subchondral cystsSummed cyst size/volume for subregion from 0 to 3 in regard to percentage of subregional bone volumeScoring of individual lesions from 0 to 3 concerning maximum diameter of lesionScored together with BMLsScored together with BMLs
OsteophytesScored at 16 sites from 0 to 7Scored from 0 to 3 Marginal intercondylar and central osteophytes are differentiated Locations/sites of osteophyte scoring not forwardedScored at 12 sites from 0 to 3Unchanged
Bone attritionScored in 14 subregions from 0 to 3Not scoredNot scoredNot scored
EffusionScored from 0 to 3Scored from 0 to 3Scored from 0 to 3Scored from 0 to 3
SynovitisCombined effusion/synovitis scoreSynovial thickening described as present or absent on sagittal T1W SPGR sequence (location not described)

Scoring of size of signal change in Hoffa’s fat pad

Five additional sites scored as present or absent (details of scoring not described)

Score of 0 to 3 applied to signal changes in Hoffa’s fat pad. Feature renamed as “Hoffa-synovitis”
Meniscal statusAnterior horn, body, posterior horn scored separately in medial/lateral meniscus from 0 to 4:

1: Minor radial or parrot beak tear

2: Nondisplaced tear or prior surgical tear

3: Displaced tear or partial resection

4: Complete maceration or destruction or complete resection

No subregional division of meniscus described. Presence or absence of following tears:

Horizontal tear

Vertical tear

Radial tear

Complex tear

Bucket-handle tear

Meniscal intrasubstance degeneration scored from 0 to 3

Anterior horn, body, posterior horn scored separately in medial/lateral meniscus. Presence absence scored:

Intrameniscal signal

Vertical tear

Horizontal tear

Complex tear

Root tear

Macerated

Meniscal cyst

Similar to BLOKS but added:

Hypertrophy

Partial maceration

Progressive partial maceration

Meniscal extrusionNot scoredScored on coronal image from 0 to 3Scored as medial and lateral extrusion on anterior extrusion for medial and lateral meniscus on sagittal image form 0 to 3Unchanged
LigamentsCruciate ligaments and collateral ligaments scored as intact or tornNot scoredCruciate ligaments scored as normal or complete tearAssociated insertional BMLs are scored in tibia and in femur Collateral ligaments not scoredUnchanged
Peri-articular featuresPopliteal cysts, anserine bursitis, semimembranosus bursa, meniscal cyst, infrapatellar bursitis, tibiofibular cyst scored 0 to 3.Only popliteal cysts scored from 0 to 3The following features are scored as present or absent:

Patella tendon signal

Pes anserine bursitis

Iliotibial band signal

Popliteal cyst

Infrapatellar bursa

Ganglion cysts of the TFJ, meniscus, ACL, PCL, semimembranosus, semitendinosus, other

Unchanged
Loose bodiesScored from 0 to 3 depending on number of loose bodiesNot scoredScored as absent or presentUnchanged

ACL, anterior cruciate ligament; BLOKS, Boston Leeds Osteoarthritis Knee Score; BML, bone marrow lesion; KOSS, Knee Osteoarthritis Scoring System; MR, magnetic resonance; PCL, posterior cruciate ligament; TFJ, tibio-fibular joint; WORMS, Whole-Organ Magnetic Resonance Imaging Score.

BLOKS

The BLOKS scoring system was introduced by Hunter et al. in 2008.[12] BLOKS divides the knee joint into weight bearing vs. patello-femoral compartments, similar to KOSS. The patellar surface is divided into lateral and medial facets, as in WORMS. BMLs and cysts are scored in a complex manner taking into account the size of the BML, percentage of involved subchondral surface area of the BML, and percentage of the BML that is cyst. Therefore, cysts are scored as cystic portion of BML, not separately as in WORMS and KOSS.[1] The lesional approach used in BLOKS to score BMLs, allows superior longitudinal analyses of individual lesions especially with regard to change in cystic/non-cystic components. Indeed, a comparison of BML scoring according to associations with pain and cartilage loss performed during the original BLOKS study found that BLOKS performed better than WORMS for assessment of these lesions.[12] On the other hand, the definition of each lesion is time-consuming and differentiation among individual lesions can be uncertain because of the ill-delineated nature of the lesions. BLOKS assigns a score for the amount of BML that is adjacent to the subchondral plate allowing for differentiation of depth of BMLs with regard to the subchondral plate.[1] Two scores are reported for cartilage. The first refers to the percentage of any cartilage loss in the subregion and the percentage of full-thickness cartilage damage for the same subregion. The second score describes the cartilage status on specific landmark-defined image sections and differentiates partial and full thickness cartilage loss.

MOAKS

There are limited studies directly comparing KOSS, WORMS, and BLOKS in the literature. In 2011, two studies compared WORMS and BLOKS on a limited sample of 115 knees with radiographic OA from the osteoarthritis initiative (OAI). Although both systems had high reliability, Felson et al. recommended that both methods should be combined as BLOKS performed better for menisci, while WORMS was superior for analysis of BMLs.[43,44] For example, WORMS meniscal scoring mixes multiple different constructs, while BLOKS clearly differentiates different tear types from intramensical signal changes and substance loss, i.e. meniscal maceration. BML scoring in BLOKS is complex due to the different dimensions and particularly due to the lesional approach that makes application in longitudinal studies challenging as lesions may merge and split over time. Limitations of both methods urged investigators to develop a new scoring instrument that integrated the advantages of both WORMS and BLOKS but minimizing the drawbacks of both systems. The same year a new scoring system was developed and introduced, mainly based on experts’ experience of existing scoring tools and the available comparative data, termed MOAKS.[26] MOAKS refined scoring of BMLs and elements of meniscal morphology (Fig. 4), added subregional assessment, and omitted some redundancy in BML and cartilage scoring. Regarding osteophyte scoring, MOAKS uses a four-scale grading system as in BLOKS (Fig. 5). Scoring of effusion remained same as the previous systems (Fig. 6).
Fig. 4.

Meniscal maceration is commonly observed in OA knees. (A) Baseline coronal dual echo at stead state (DESS) image shows a normal body of the medial meniscus without evidence of a tear of substance loss but little extrusion (arrow; grade 1 MOAKS). (B) Two years later, there is evidence of substance loss (arrow) in the central part of the body region (also referred to as the “white zone”). This finding is also termed partial meniscal maceration. MOAKS, Magnetic Resonance Imaging Osteoarthritis Knee Score, OA: osteoarthritis.

Fig. 5.

Osteophytes are one of the hallmark features of OA on imaging and part of the disease definition on X-rays. While WORMS uses a complex approach of osteophytes scoring on a 0–7 scale at 16 articular anatomical locations, MOAKS applies a somewhat simplified scheme on a 0–3 scale at only 12 different locations omitting the scores of the anterior and posterior medial and lateral tibia. (A) Sagittal fat-suppressed intermediate-weighted image of the lateral tibio-femoral compartment shows a moderate sized MOAKS grade 2/WORMS grade 4 osteophyte at the anterior femur, a MOAKS grade 3/WORMS grade 5 osteophyte at the posterior femur (short white-filled arrows), and a WORMS grade 5 osteophyte (long black-filled arrow) at the anterior lateral tibia (location not considered in MOAKS). (B) Marginal osteophytes in the coronal plane are similarly considered in MOAKS and WORMS. Example shows femoral osteophytes (small arrows; MOAKS grade 2/WORMS grade 4 medial; MOAKS grade 3/WORMS grade 6 lateral) and a moderate osteophyte at the medial tibia (large arrow; MOAKS grade 2/WORMS grade 4). There is diffuse cartilage loss at the central lateral tibial and femur with moderate lateral tibial plateau remodeling (attrition). (C) Sagittal dual-echo at steady-state (DESS) MRI of the medial tibio-femoral compartment shows moderate-sized (MOAKS grade 2/WORMS grade 3) osteophytes at the anterior and posterior medial femur (small white-filled arrows). At the tibia (large white-filled arrows) there is a tiny anterior osteophyte (WORMS grade 1) and a moderate-to-large sized posterior osteophyte (WORMS grade 5). Tibial locations are not scored in the sagittal plane using MOAKS. MOAKS, MRI Osteoarthritis Knee Score; MRI: magnetic resonance imaging; OA: osteoarthritis; WORMS, Whole Organ Magnetic Resonance Score.

Fig. 6.

MRI of markers of inflammation in OA. Fluid sensitive sequences are capable of delineating intraarticular joint fluid. However, a distinction between true joint effusion and synovial thickening is not possible as both are visualized as hyperintense signal within the joint cavity. For this reason the term effusion-synovitis has been introduced, which is scored based on the distension of the joint capsule for both systems, WORMS and MOAKS, and is graded collectively from 0 to 3 in terms of the estimated maximal distention of the synovial cavity with 0 = normal, grade 1 = <33% of maximum potential distention, grade 2 = 33–66% of maximum potential distention, and grade 3 = >66% of maximum potential distention. Axial dual-echo at steady-state (DESS) MR images show (A) grade 1 effusion-synovitis, (B) grade 2 effusion-synovitis (asterisk), and (C) grade 3 effusion-synovitis (asterisk). MOAKS, MRI Osteoarthritis Knee Score; MRI: magnetic resonance imaging; OA: osteoarthritis; WORMS, Whole Organ Magnetic Resonance Score.

While MOAKS is the newest of the four systems described in this review and requires further validation, it has been used in large-scale studies including the multicenter randomized controlled MeTeOR (Meniscal Tear with Osteoarthritis Research) trial, which examined whether arthroscopic partial meniscectomy resulted in better functional outcomes than non-operative therapy,[45] and the OAI.4[46,47] A recent publication using data from the latter study demonstrated that severity of structural damage can be used as predictor of knee replacement a year later and also predicts the radiographic onset of OA.[25]

Synovitis-specific SQ Scoring Systems

All whole joint scoring systems have in common the non-inclusion of contrast-enhanced images. However, signal changes detected in Hoffa’s fat pad on “fluid-sensitive” sequences only have been shown to be non specific, although sensitive, finding for synovitis[48] (Fig. 7). In fact, other conditions lead to similar changes such as chronic fibrotic changes.[48,49] It has been shown that only contrast-enhanced (CE) MRI-detected synovitis correlates with histological findings.[50,51] Therefore, CE-MRI is the only method that accurately assesses the true extent of synovitis in knee OA[52] (Fig. 8). Three different scoring systems to assess synovitis on the basis of CE-MRI have been published. The grading system developed by Guermazi et al.[53] is a three-scale scoring system assessing 11 sites, and has high intra- and inter-reader agreement. In a recent publication it has been shown that CE-MRI-detected synovitis strongly correlates with tibiofemoral radiographic OA and MR-detected widespread cartilage damage.[54]
Fig. 7.

Signal changes in Hoffa’s fat pad are commonly used as a surrogate for synovitis on non-contrast-enhanced MRI. While these structural changes have been used for a long time they have not been described in the WORMS system but have been incorporated in the MOAKS system. Although synovitis can only be visualized directly on contrast-enhanced sequences, it has been shown that Hoffa’s signal changes are a sensitive but non-specific surrogate of synovitis. (A) Sagittal proton density-weighted MRI shows a discrete ill-defined hyperintense signal alteration in Hoffa’s fat pad consistent with grade 1 Hoffa-synovitis (arrow). (B) A grade 2 signal change within the fat pad is shown in this example (arrows). (C) Severe, grade 3 signal alterations almost occupying the entire fat pad are seen in this image (arrows). MOAKS, MRI Osteoarthritis Knee Score; MRI: magnetic resonance imaging; WORMS, Whole Organ Magnetic Resonance Score.

Fig. 8.

Comparison of inflammatory manifestations of disease using non-enhanced and contrast-enhanced sequences. (A) Axial intermediate-weighted fat-suppressed MRI shows homogeneous hyperintensity within the joint cavity consistent with grade 2 effusion-synovitis by MOAKS and WORMS (asterisk). Note BML in the posterior lateral femoral condyle consistent with traction edema at the insertion of the anterior cruciate ligament (arrows). (B) Corresponding T1-weighted fat-suppressed image after intravenous contrast administration clearly differentiates between intraarticular joint fluid depicted as hypointensity (asterisk) and true synovial thickening visualized as hyperintense contrast enhancement of the synovial membrane (large arrows). Note that BMLs are similarly depicted on T2-weighted fat-suppressed and T1-weighted contrast-enhanced fat-suppressed MRI (small arrows). BML, bone marrow lesion; MOAKS, MRI Osteoarthritis Knee Score; MRI: magnetic resonance imaging; WORMS, Whole Organ Magnetic Resonance Score.

Conclusion

SQ assessment of knee OA on MRI is a valid, reliable, and responsive tool for the understanding of the natural history of OA and the evaluation of therapeutic possibilities. SQ scoring systems have been applied in large-scale, multi-center epidemiological studies, as well as interventional clinical trials. Considering the ongoing effort for deeper understanding of OA and the development of disease-modifying drugs for knee OA, iterative refinement of SQ scoring systems will also continue.
  54 in total

1.  Assessment of synovitis with contrast-enhanced MRI using a whole-joint semiquantitative scoring system in people with, or at high risk of, knee osteoarthritis: the MOST study.

Authors:  Ali Guermazi; Frank W Roemer; Daichi Hayashi; Michel D Crema; Jingbo Niu; Yuqing Zhang; Monica D Marra; Avinash Katur; John A Lynch; George Y El-Khoury; Kristin Baker; Laura B Hughes; Michael C Nevitt; David T Felson
Journal:  Ann Rheum Dis       Date:  2010-12-27       Impact factor: 19.103

Review 2.  Imaging of synovitis in osteoarthritis: current status and outlook.

Authors:  Daichi Hayashi; Frank W Roemer; Avinash Katur; David T Felson; Seoung-Oh Yang; Faris Alomran; Ali Guermazi
Journal:  Semin Arthritis Rheum       Date:  2011-02-03       Impact factor: 5.532

3.  Osteoarthritis of the knee at 3.0 T: comparison of a quantitative and a semi-quantitative score for the assessment of the extent of cartilage lesion and bone marrow edema pattern in a 24-month longitudinal study.

Authors:  Robert Stahl; Sapna K Jain; Jürgen Lutz; Bradley T Wyman; Marie-Pierre Hellio Le Graverand-Gastineau; Eric Vignon; Sharmila Majumdar; Thomas M Link
Journal:  Skeletal Radiol       Date:  2011-04-09       Impact factor: 2.199

4.  Change in joint space width: hyaline articular cartilage loss or alteration in meniscus?

Authors:  D J Hunter; Y Q Zhang; X Tu; M Lavalley; J B Niu; S Amin; A Guermazi; H Genant; D Gale; D T Felson
Journal:  Arthritis Rheum       Date:  2006-08

Review 5.  OARSI Clinical Trials Recommendations: Hip imaging in clinical trials in osteoarthritis.

Authors:  G E Gold; F Cicuttini; M D Crema; F Eckstein; A Guermazi; R Kijowski; T M Link; E Maheu; J Martel-Pelletier; C G Miller; J-P Pelletier; C G Peterfy; H G Potter; F W Roemer; D J Hunter
Journal:  Osteoarthritis Cartilage       Date:  2015-05       Impact factor: 6.576

Review 6.  Responsiveness and reliability of MRI in knee osteoarthritis: a meta-analysis of published evidence.

Authors:  D J Hunter; W Zhang; P G Conaghan; K Hirko; L Menashe; W M Reichmann; E Losina
Journal:  Osteoarthritis Cartilage       Date:  2011-03-23       Impact factor: 6.576

7.  MRI assessment of knee osteoarthritis: Knee Osteoarthritis Scoring System (KOSS)--inter-observer and intra-observer reproducibility of a compartment-based scoring system.

Authors:  Peter R Kornaat; Ruth Y T Ceulemans; Herman M Kroon; Naghmeh Riyazi; Margreet Kloppenburg; Wayne O Carter; Thasia G Woodworth; Johan L Bloem
Journal:  Skeletal Radiol       Date:  2004-10-08       Impact factor: 2.199

8.  Synovitis in knee osteoarthritis assessed by contrast-enhanced magnetic resonance imaging (MRI) is associated with radiographic tibiofemoral osteoarthritis and MRI-detected widespread cartilage damage: the MOST study.

Authors:  Ali Guermazi; Daichi Hayashi; Frank W Roemer; Yanyan Zhu; Jingbo Niu; Michel D Crema; M Kassim Javaid; Monica D Marra; John A Lynch; George Y El-Khoury; Yuqing Zhang; Michael C Nevitt; David T Felson
Journal:  J Rheumatol       Date:  2014-01-15       Impact factor: 4.666

9.  Bone marrow edema and its relation to progression of knee osteoarthritis.

Authors:  David T Felson; Sara McLaughlin; Joyce Goggins; Michael P LaValley; M Elon Gale; Saara Totterman; Wei Li; Catherine Hill; Daniel Gale
Journal:  Ann Intern Med       Date:  2003-09-02       Impact factor: 25.391

10.  The association of meniscal damage with joint effusion in persons without radiographic osteoarthritis: the Framingham and MOST osteoarthritis studies.

Authors:  F W Roemer; A Guermazi; D J Hunter; J Niu; Y Zhang; M Englund; M K Javaid; J A Lynch; A Mohr; J Torner; C E Lewis; M C Nevitt; D T Felson
Journal:  Osteoarthritis Cartilage       Date:  2008-10-17       Impact factor: 6.576

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  4 in total

Review 1.  Imaging of osteoarthritis-recent research developments and future perspective.

Authors:  Daichi Hayashi; Frank W Roemer; Ali Guermazi
Journal:  Br J Radiol       Date:  2018-01-19       Impact factor: 3.039

2.  Reliability of a new scoring system for intraarticular mineralization of the knee: Boston University Calcium Knee Score (BUCKS).

Authors:  A Guermazi; M Jarraya; J A Lynch; D T Felson; M Clancy; M Nevitt; C E Lewis; J Torner; T Neogi
Journal:  Osteoarthritis Cartilage       Date:  2020-03-12       Impact factor: 6.576

Review 3.  Cartilage repair in the degenerative ageing knee.

Authors:  Mats Brittberg; Andreas H Gomoll; José A Canseco; Jack Far; Martin Lind; James Hui
Journal:  Acta Orthop       Date:  2016-12-02       Impact factor: 3.717

4.  Miniaturized Water-Jet Ultrasound Indentation System for Quantitative Assessment of Articular Cartilage Degeneration: A Validation Study.

Authors:  Yan-Ping Huang; Yong-Ping Zheng
Journal:  Biomed Res Int       Date:  2020-07-15       Impact factor: 3.411

  4 in total

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