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Abstract Number: 154

Radiographic Knee Osteoarthritis in Patients Complaining of Knee Pain: Ultrasound Features

Ignacio Javier Gandino1, Santiago Ruta1, Marina Scolnik2, Johana Zacariaz1, Josefina Marin1, Javier Rosa1, Ricardo Garcia-Monaco3 and Enrique R. Soriano1, 1Rheumatology Unit, Internal Medicine Service, Hospital Italiano de Buenos Aires, Instituto Universitario Hospital Italiano de Buenos Aires, and Fundacion PM Catoggio, Buenos Aires, Argentina, 2Rheumatology Section, Rheumatology Unit, Internal Medicine Service, Hospital Italiano de Buenos Aires, Instituto Universitario Hospital Italiano de Buenos Aires, and Fundacion PM Catoggio, Buenos Aires, Argentina, 3Radiology and Imagenology Department, Hospital italiano de Buenos Aires, Buenos Aires, Argentina

Meeting: 2016 ACR/ARHP Annual Meeting

Date of first publication: September 28, 2016

Keywords: diagnosis, osteoarthritis and ultrasonography

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Session Information

Date: Sunday, November 13, 2016

Title: Imaging of Rheumatic Diseases - Poster I: Ultrasound and Emerging Technologies

Session Type: ACR Poster Session A

Session Time: 9:00AM-11:00AM

Background/Purpose: to date diagnosis of knee osteoarthritis (OA) is based on clinical examination and radiological features. Our objetive was to evaluate the diagnostic test properties of ultrasound (US) for the detection of radiographic knee OA.

Methods: consecutive patients complaining of knee pain were included. Exclusion criteria were: younger than 18 years old, history of knee surgery or trauma, severe knee deformities and corticosteroid injection within the last 2 months. US examinations were performed by an experienced rheumatologist, blinded to clinical and radiological data, using a MyLab 70 machine (Esaote) provided with a multi-frequency linear transducer (4-13 MHz). Standardized scanning method was adopted in order to evaluate the following US abnormal findings: osteophytes (protrusions at the joint margin seen in two planes and visualized as either proximal or distal to the joint) and degenerative femoral hyaline cartilage involvement (presence of at least two of the following: loss of sharpness of the cartilage margins, loss of homogeneity of the cartilage layer and cartilage thinning focal or extend to the entire cartilaginous layer). Weight-bearing anteroposterior (AP) and lateral knee radiographs were read by an experienced rheumatologist, blinded to the clinical and US data, who determine the presence or absence of radiological degenerative changes and classified the severity of knee OA using Kellgren-Lawrence (KL) grading scale.

Results: 281 patients (mean age 64 ± 17 years, 173 (61,6%) female) were included for a total of 322 knees evaluated (41complained of bilateral knee pain). Both the presence of osteophytes and/or femoral hyaline cartilage involvement detected by US were more frequent in those knees with radiographic changes indicative of OA regardless severity acording KL grading scale (Table 1). Table 2 shows the diagnostic test properties of the US abnormal findings for the detection of knee OA using radiological data as reference method.

Conclusion: US demonstrate an excellent sensitivity with an adequate specificity for the detection of radiographic knee OA. US femoral hyaline cartilage involvement and/or US osteophytes showed the best sensitivity while isolated US osteophytes showed the best specificity. US could be used in patients with knee pain when OA is suspected. Table 1. Frequency of the US abnormal findings according radiographic features of knee OA.

Presence of radiological degenerative changes,

n: 188

Abscence of  radiological degenerative changes,

n: 144

KL 1,

n: 36

KL 2,

n: 20

KL 3,

n: 118

KL 4,

n: 14

 

US femoral hyaline cartilage involvement, % (CI 95%)

77

(64-92)

70

(49-90)

97

(93-99)

100

24

(17-31)

US osteophytes, % (CI 95%)

62

(44-73)

90

(76-100)

85

(79-92)

100

14

(8-20)

US femoral hyaline cartilage involvement and/or US osteophytes, % (CI 95%)

92

(82-100)

100

95

(91-99)

100

24

(16-31)

US: ultrasound; OA: osteoarthiritis; KL: Kellgren-Lawrence

Table 2. Diagnostic test properties of the US abnormal findings for the detection of knee OA using radiological data as reference method.

Sensitivity,

% (CI 95%)

Specificity, % (CI 95%)

PPV,

% (CI 95%)

NPV,

% (CI 95%)

US femoral hyaline cartilage involvement

90

(86-95)

75

(68-83)

84

(79-89)

85

(78-91)

US osteophytes

82

(77-88)

86

(80-92)

89

(84-94)

78

(71-84)

US femoral hyaline cartilage involvement and/or US osteophytes

95

(92-98)

76

(69-83)

85

(80-90)

92

(87-97)

US: ultrasound; PPV: positive predictive value; NPV: negative predictive value; CI: confidence interval


Disclosure: I. J. Gandino, None; S. Ruta, None; M. Scolnik, None; J. Zacariaz, None; J. Marin, None; J. Rosa, None; R. Garcia-Monaco, None; E. R. Soriano, None.

To cite this abstract in AMA style:

Gandino IJ, Ruta S, Scolnik M, Zacariaz J, Marin J, Rosa J, Garcia-Monaco R, Soriano ER. Radiographic Knee Osteoarthritis in Patients Complaining of Knee Pain: Ultrasound Features [abstract]. Arthritis Rheumatol. 2016; 68 (suppl 10). https://acrabstracts.org/abstract/radiographic-knee-osteoarthritis-in-patients-complaining-of-knee-pain-ultrasound-features/. Accessed .
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