A reliability study using computer-based analysis of finger joint space narrowing in rheumatoid arthritis patients

Hatano, Katsuya; Kamishima, Tamotsu; Sutherland, Kenneth; Kato, Masaaki; Nakagawa, Ikuma; Ichikawa, Shota; Kawauchi, Keisuke; Saitou, Shota; Mukai, Masaya

doi:10.1007/s00296-016-3588-y

Cited by 7 publications

(7 citation statements)

References 18 publications

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“…Furthermore, we found good relationship between the semiautomated method using tomosynthesis images and the semiquantitative scoring method in MCP and PIP joints. Intra-observer agreement of the semi-quantitative scoring method for radiography was moderate to almost perfect with ICC values of 0.589-0.839 in our previous article [28], while intra-observer agreement was almost perfect with the semi-automated method by non-experts in this study. Similarly, inter-observer agreement was poor to fair with the semiquantitative scoring method for radiography and tomosynthesis by experts, while inter-observer agreement was almost perfect with the semi-automated method by nonexperts in this study.…”

Section: Discussionsupporting

confidence: 49%

“…Radiography remains the reference modality for the diagnosis and follow-up of patients with RA, which is recommended by American College of Rheumatism and the European League Against Rheumatism [1,27]. However, conventional radiographic scoring methods are subjective and suffer from reader variation [28,29]. Specialized training is also required, which limits the number of qualified readers.…”

Section: Discussionmentioning

confidence: 99%

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Semi-Automated Quantification of Finger Joint Space Narrowing Using Tomosynthesis in Patients with Rheumatoid Arthritis

et al. 2017

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The purpose of the study is to validate the semi-automated method using tomosynthesis images for the assessment of finger joint space narrowing (JSN) in patients with rheumatoid arthritis (RA), by using the semi-quantitative scoring method as the reference standard. Twenty patients (14 females and 6 males) with RA were included in this retrospective study. All patients underwent radiography and tomosynthesis of the bilateral hand and wrist. Two rheumatologists and a radiologist independently scored JSN with two modalities according to the Sharp/van der Heijde score. Two observers independently measured joint space width on tomosynthesis images using an in-house semi-automated method. More joints with JSN were revealed with tomosynthesis score (243 joints) and the semi-automated method (215 joints) than with radiography (120 joints), and the associations between tomosynthesis scores and radiography scores were demonstrated (P < 0.001). There was significant, negative correlation between measured joint space width and tomosynthesis scores with r = -0.606 (P < 0.001) in metacarpophalangeal joints and r = -0.518 (P < 0.001) in proximal interphalangeal joints. Inter-observer and intra-observer agreement of the semi-automated method using tomosynthesis images was in almost perfect agreement with intra-class correlation coefficient (ICC) values of 0.964 and 0.963, respectively. The semi-automated method using tomosynthesis images provided sensitive, quantitative, and reproducible measurement of finger joint space in patients with RA.

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Section: Discussionsupporting

confidence: 49%

Section: Discussionmentioning

confidence: 99%

Semi-Automated Quantification of Finger Joint Space Narrowing Using Tomosynthesis in Patients with Rheumatoid Arthritis

et al. 2017

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“…However, intra-and interobserver reliability for the SvdH scoring system on radiograph in 51 RA patients by the same expert (TK) were moderate to almost perfect in a previous study (ICC = 0.589-0.839 and 0.556-0.849, respectively). 20 In conclusion, quantitative PD signal assessment in the subchondral bone region of the MCP joints is a simple technique, which may predict radiographic progression in the hand joint than conventional semi-quantitative scoring, quantitative ROI method or qualitative PD signal assessment in the subchondral bone region in RA patients on…”

Section: Discussionmentioning

confidence: 88%

Quantitative power Doppler signal assessment in the subchondral bone region of the metacarpophalangeal joint is an effective predictor of radiographic progression in the hand of rheumatoid arthritis: a pilot study

et al. 2019

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Objectives. To investigate the predictive value of the quantitative power Doppler (PD) signal assessment in the subchondral bone region of the metacarpophalangeal (MCP) joint concerning radiographic progression of the hand in patients with rheumatoid arthritis (RA) by comparing with those of the previously reported scoring systems. Methods. Twenty-two patients (20 women) with RA underwent power Doppler ultrasonography (PDUS) of the bilateral 1-5 MCP joints at baseline. Radiography of both hands was performed at baseline and at 1 year. PDUS of the synovial space was evaluated according to semi-quantitative scoring (0-3) and quantitative measurement (0-100%). The PD signal in the subchondral bone region was qualitatively (0, 1) and quantitatively (mm²) assessed. The performance of PDUS assessments were compared using the area under the curve (AUC) of the receiver operating characteristic curve and risk ratio (RR). Results. As a predictor for radiographic progression, the quantitative PD signal assessment in the subchondral bone region (AUC = 0.842, p < 0.01) was equivalent to quantitative vascularity (AUC = 0.817, p < 0.05), and better than semi-quantitative scoring (AUC = 0.754, p < 0.05). As for the RR of the PD signal in the subchondral bone region for radiographic progression, the quantitative PD signal assessment was 5.40 (p < 0.01), whereas the qualitative PD signal assessment was 1.60 (p = 0.204). Conclusion. Quantitative PD signal assessment in the subchondral bone region may predict radiographic progression of RA.

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“…Hatano et al . 28 reported that the inter- and intra-observer reliabilities using the software by non-experts were almost perfect (inter-observer ICC; 0.979 and intra-observer ICC; 0.976, respectively). The results of the reliability in the clinical section of this study were consisted with the previous study.…”

Section: Discussionmentioning

confidence: 99%

Detection of Fine Radiographic Progression in Finger Joint Space Narrowing Beyond Human Eyes: Phantom Experiment and Clinical Study with Rheumatoid Arthritis Patients

Kato

Yasojima

Tamura

et al. 2019

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The visual assessment of joint space narrowing (JSN) on radiographs of rheumatoid arthritis (RA) patients such as the Genant-modified Sharp score (GSS) is widely accepted but limited by its subjectivity and insufficient sensitivity. We developed a software application which can assess JSN quantitatively using a temporal subtraction technique for radiographs, in which the chronological change in JSN between two radiographs was defined as the joint space difference index (JSDI). The aim of this study is to prove the superiority of the software in terms of detecting fine radiographic progression in finger JSN over human observers. A micrometer measurement apparatus that can adjust arbitrary joint space width (JSW) in a phantom joint was developed to define true JSW. We compared the smallest detectable changes in JSW between the JSDI and visual assessment using phantom images. In a clinical study, 222 finger joints without interval score change on GSS in 15 RA patients were examined. We compared the JSDI between joints with and without synovial vascularity (SV) on power Doppler ultrasonography during the follow-up period. True JSW difference was correlated with JSDI for JSW differences ranging from 0.10 to 1.00 mm at increments of 0.10 mm (R 2 = 0.986 and P < 0.001). Rheumatologists were difficult to detect JSW difference of 0.30 mm or less. The JSDI of finger joints with SV was significantly higher than those without SV (P = 0.030). The software can detect fine differences in JSW that are visually unrecognizable.

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A reliability study using computer-based analysis of finger joint space narrowing in rheumatoid arthritis patients

Cited by 7 publications

References 18 publications

Semi-Automated Quantification of Finger Joint Space Narrowing Using Tomosynthesis in Patients with Rheumatoid Arthritis

Semi-Automated Quantification of Finger Joint Space Narrowing Using Tomosynthesis in Patients with Rheumatoid Arthritis

Quantitative power Doppler signal assessment in the subchondral bone region of the metacarpophalangeal joint is an effective predictor of radiographic progression in the hand of rheumatoid arthritis: a pilot study

Detection of Fine Radiographic Progression in Finger Joint Space Narrowing Beyond Human Eyes: Phantom Experiment and Clinical Study with Rheumatoid Arthritis Patients

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