OBJECTIVE: High-resolution peripheral quantitative computed tomography (HR-pQCT) sensitively detects erosions in rheumatoid arthritis (RA); however, nonpathological cortical bone disruptions are potentially misclassified as erosive. Our objectives were to set and test a definition for pathologic cortical bone disruptions in RA and to standardize reference landmarks for measuring erosion size. METHODS: HR-pQCT images of metacarpophalangeal joints of RA and control subjects were used in an iterative process to achieve consensus on the definition and reference landmarks. Independent readers (n = 11) applied the definition to score 58 joints and measure pathologic erosions in 2 perpendicular multiplanar reformations for their maximum width and depth. Interreader reliability for erosion detection and variability in measurements between readers [root mean square coefficient of variation (RMSCV), intraclass correlation (ICC)] were calculated. RESULTS: Pathologic erosions were defined as cortical breaks extending over a minimum of 2 consecutive slices in perpendicular planes, with underlying trabecular bone loss and a nonlinear shape. Interreader agreement for classifying pathologic erosions was 90.2%, whereas variability for width and depth erosion assessment was observed (RMSCV perpendicular width 12.3%, axial width 20.6%, perpendicular depth 24.0%, axial depth 22.2%; ICC perpendicular width 0.206, axial width 0.665, axial depth 0.871, perpendicular depth 0.783). Mean erosion width was 1.84 mm (range 0.16-8.90) and mean depth was 1.86 mm (range 0.30-8.00). CONCLUSION: We propose a new definition for erosions visualized with HR-pQCT imaging. Interreader reliability for erosion detection is good, but further refinement of selection of landmarks for erosion size measurement, or automated volumetric methods, will be pursued.
OBJECTIVE: High-resolution peripheral quantitative computed tomography (HR-pQCT) sensitively detects erosions in rheumatoid arthritis (RA); however, nonpathological cortical bone disruptions are potentially misclassified as erosive. Our objectives were to set and test a definition for pathologic cortical bone disruptions in RA and to standardize reference landmarks for measuring erosion size. METHODS: HR-pQCT images of metacarpophalangeal joints of RA and control subjects were used in an iterative process to achieve consensus on the definition and reference landmarks. Independent readers (n = 11) applied the definition to score 58 joints and measure pathologic erosions in 2 perpendicular multiplanar reformations for their maximum width and depth. Interreader reliability for erosion detection and variability in measurements between readers [root mean square coefficient of variation (RMSCV), intraclass correlation (ICC)] were calculated. RESULTS: Pathologic erosions were defined as cortical breaks extending over a minimum of 2 consecutive slices in perpendicular planes, with underlying trabecular bone loss and a nonlinear shape. Interreader agreement for classifying pathologic erosions was 90.2%, whereas variability for width and depth erosion assessment was observed (RMSCV perpendicular width 12.3%, axial width 20.6%, perpendicular depth 24.0%, axial depth 22.2%; ICC perpendicular width 0.206, axial width 0.665, axial depth 0.871, perpendicular depth 0.783). Mean erosion width was 1.84 mm (range 0.16-8.90) and mean depth was 1.86 mm (range 0.30-8.00). CONCLUSION: We propose a new definition for erosions visualized with HR-pQCT imaging. Interreader reliability for erosion detection is good, but further refinement of selection of landmarks for erosion size measurement, or automated volumetric methods, will be pursued.
Authors: Debbie M Boeters; Wouter P Nieuwenhuis; Hanna W van Steenbergen; Monique Reijnierse; Robert B M Landewé; Annette H M van der Helm-van Mil Journal: Ann Rheum Dis Date: 2018-02-28 Impact factor: 19.103
Authors: Elka Miller; Emilio J Inarejos Clemente; Nikolay Tzaribachev; Saurabh Guleria; Mirkamal Tolend; Arthur B Meyers; Thekla von Kalle; Jennifer Stimec; Bernd Koos; Simone Appenzeller; Linda Z Arvidsson; Eva Kirkhus; Andrea S Doria; Christian J Kellenberger; Tore A Larheim Journal: Pediatr Radiol Date: 2018-05-08
Authors: M Peters; A Scharmga; J de Jong; A van Tubergen; P Geusens; J J Arts; D Loeffen; R Weijers; B van Rietbergen; J van den Bergh Journal: PLoS One Date: 2017-04-20 Impact factor: 3.240
Authors: A Scharmga; K K Keller; M Peters; A van Tubergen; J P van den Bergh; B van Rietbergen; R Weijers; D Loeffen; E M Hauge; P Geusens Journal: Sci Rep Date: 2017-08-21 Impact factor: 4.379
Authors: Andrea Scharmga; Michiel Peters; Joop P van den Bergh; Piet Geusens; Daan Loeffen; Bert van Rietbergen; Thea Schoonbrood; Debby Vosse; René Weijers; Astrid van Tubergen Journal: PLoS One Date: 2018-07-09 Impact factor: 3.240
Authors: Kathryn S Stok; Andrew J Burghardt; Stephanie Boutroy; Michiel P H Peters; Sarah L Manske; Vincent Stadelmann; Nicolas Vilayphiou; Joop P van den Bergh; Piet Geusens; Xiaojuan Li; Hubert Marotte; Bert van Rietbergen; Steven K Boyd; Cheryl Barnabe Journal: Quant Imaging Med Surg Date: 2020-02
Authors: M Peters; J de Jong; A Scharmga; A van Tubergen; P Geusens; D Loeffen; R Weijers; S K Boyd; C Barnabe; K S Stok; B van Rietbergen; J van den Bergh Journal: BMC Med Imaging Date: 2018-05-15 Impact factor: 1.930