Fully automatic software for detecting radiographic joint space narrowing progression in rheumatoid arthritis : phantom study and comparison with visual assessment
© 2022. The Author(s) under exclusive licence to Japan Radiological Society..
PURPOSE: We have developed an in-house software equipped with partial image phase-only correlation (PIPOC) which can automatically quantify radiographic joint space narrowing (JSN) progression. The purpose of this study was to evaluate the software in phantom and clinical assessments.
MATERIALS AND METHODS: In the phantom assessment, the software's performance on radiographic images was compared to the joint space width (JSW) difference using a micrometer as ground truth. A phantom simulating a finger joint was scanned underwater. In the clinical assessment, 15 RA patients were included. The software measured the radiological progression of the finger joints between baseline and the 52nd week. The cases were also evaluated with the Genant-modified Sharp score (GSS), a conventional visual scoring method. We also quantitatively assessed these joints' synovial vascularity (SV) on power Doppler ultrasonography (0, 8, 20 and 52 weeks).
RESULTS: In the phantom assessment, the PIPOC software could detect changes in JSN with a smallest detectable difference of 0.044 mm at 0.1 mm intervals. In the clinical assessment, the JSW change of the joints with GSS progression detected by the software was significantly greater than those without GSS progression (p = 0.004). The JSW change of joints with positive SV at baseline was significantly higher than those with negative SV (p = 0.024).
CONCLUSION: Our in-house software equipped with PIPOC can automatically and quantitatively detect slight radiographic changes of JSW in clinically inactive RA patients.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:41 |
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| Enthalten in: |
Japanese journal of radiology - 41(2023), 5 vom: 20. Mai, Seite 510-520 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Okino, Taichi [VerfasserIn] |
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| Links: |
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| Themen: |
Connective tissue disease |
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| Anmerkungen: |
Date Completed 01.05.2023 Date Revised 01.05.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1007/s11604-022-01373-z |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM350498385 |
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| 100 | 1 | |a Okino, Taichi |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Fully automatic software for detecting radiographic joint space narrowing progression in rheumatoid arthritis |b phantom study and comparison with visual assessment |
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| 500 | |a Date Revised 01.05.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022. The Author(s) under exclusive licence to Japan Radiological Society. | ||
| 520 | |a PURPOSE: We have developed an in-house software equipped with partial image phase-only correlation (PIPOC) which can automatically quantify radiographic joint space narrowing (JSN) progression. The purpose of this study was to evaluate the software in phantom and clinical assessments | ||
| 520 | |a MATERIALS AND METHODS: In the phantom assessment, the software's performance on radiographic images was compared to the joint space width (JSW) difference using a micrometer as ground truth. A phantom simulating a finger joint was scanned underwater. In the clinical assessment, 15 RA patients were included. The software measured the radiological progression of the finger joints between baseline and the 52nd week. The cases were also evaluated with the Genant-modified Sharp score (GSS), a conventional visual scoring method. We also quantitatively assessed these joints' synovial vascularity (SV) on power Doppler ultrasonography (0, 8, 20 and 52 weeks) | ||
| 520 | |a RESULTS: In the phantom assessment, the PIPOC software could detect changes in JSN with a smallest detectable difference of 0.044 mm at 0.1 mm intervals. In the clinical assessment, the JSW change of the joints with GSS progression detected by the software was significantly greater than those without GSS progression (p = 0.004). The JSW change of joints with positive SV at baseline was significantly higher than those with negative SV (p = 0.024) | ||
| 520 | |a CONCLUSION: Our in-house software equipped with PIPOC can automatically and quantitatively detect slight radiographic changes of JSW in clinically inactive RA patients | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Connective tissue disease | |
| 650 | 4 | |a Joint space | |
| 650 | 4 | |a Radiography | |
| 650 | 4 | |a Software | |
| 650 | 4 | |a Ultrasonography | |
| 700 | 1 | |a Ou, Yafei |e verfasserin |4 aut | |
| 700 | 1 | |a Ikebe, Masayuki |e verfasserin |4 aut | |
| 700 | 1 | |a Tamura, Kenichi |e verfasserin |4 aut | |
| 700 | 1 | |a Sutherland, Kenneth |e verfasserin |4 aut | |
| 700 | 1 | |a Fukae, Jun |e verfasserin |4 aut | |
| 700 | 1 | |a Tanimura, Kazuhide |e verfasserin |4 aut | |
| 700 | 1 | |a Kamishima, Tamotsu |e verfasserin |4 aut | |
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