Quantifying Complex Micro-Topography of Degenerated Articular Cartilage Surface by Contrast-Enhanced Micro-Computed Tomography and Parametric Analyses

Tuomo Ylitalo, Mikko A. J. Finnilä, Harpal K. Gahunia, Sakari S. Karhula, Heikki Suhonen, Maarit Valkealahti, Petri Lehenkari, Edward Haeggström, Kenneth P. H. Pritzker, Simo Saarakkala, Heikki J. Nieminen

Research output: Contribution to journalArticleScientificpeer-review

Abstract

One of the earliest changes in osteoarthritis (OA) is a surface discontinuity of the articular cartilage (AC), and these surface changes become gradually more complex with OA progression. We recently developed a contrast enhanced micro-computed tomography (mu CT) method for visualizing AC surface in detail. The present study aims to introduce a mu CT analysis technique to parameterize these complex AC surface features and to demonstrate the feasibility of using these parameters to quantify degenerated AC surface. Osteochondral plugs (n = 35) extracted from 19 patients undergoing joint surgery were stained with phosphotungstic acid and imaged using mu CT. The surface micro-topography of AC was analyzed with developed method. Standard root mean square roughness (R-q) was calculated as a reference, and the Area Under Curve (AUC) for receiver operating characteristic analysis was used to compare the acquired quantitative parameters with semi-quantitative visual grading of mu CT image stacks. The parameters quantifying the complex micro-topography of AC surface exhibited good sensitivity and specificity in identifying surface continuity (AUC: 0.93, [0.80 0.99]), fissures (AUC: 0.94, [0.83 0.99]) and fibrillation (AUC: 0.98, [0.88 1.0]). Standard R-q was significantly smaller compared with the complex roughness (CRq) already with mild surface changes with all surface reference parameters - continuity, fibrillation, and fissure sum. Furthermore, only CRq showed a significant difference when comparing the intact surface with lowest fissure sum score. These results indicate that the presented method for evaluating complex AC surfaces exhibit potential to identify early OA changes in superficial AC and is dynamic throughout OA progression. (c) 2019 The Authors. Journal of Orthopaedic Research (R) Published by Wiley Periodicals, Inc. on behalf of the Orthopaedic Research Society. Society. 9999:1-12, 2019.
Original languageEnglish
JournalJournal of Orthopaedic Research
Volume37
Issue number4
Pages (from-to)855-866
Number of pages12
ISSN0736-0266
DOIs
Publication statusPublished - Apr 2019
MoE publication typeA1 Journal article-refereed

Fields of Science

  • articular cartilage
  • topography
  • surface roughness
  • 3D imaging
  • microcomputed X-ray tomography
  • QUANTITATIVE ASSESSMENT
  • CT ARTHROGRAPHY
  • OSTEOARTHRITIS
  • ROUGHNESS
  • ULTRASOUND
  • THICKNESS
  • QUANTIFICATION
  • MORPHOLOGY
  • DIAGNOSIS
  • MRI
  • 3126 Surgery, anesthesiology, intensive care, radiology
  • 114 Physical sciences

Cite this

Ylitalo, Tuomo ; Finnilä, Mikko A. J. ; Gahunia, Harpal K. ; Karhula, Sakari S. ; Suhonen, Heikki ; Valkealahti, Maarit ; Lehenkari, Petri ; Haeggström, Edward ; Pritzker, Kenneth P. H. ; Saarakkala, Simo ; Nieminen, Heikki J. / Quantifying Complex Micro-Topography of Degenerated Articular Cartilage Surface by Contrast-Enhanced Micro-Computed Tomography and Parametric Analyses. In: Journal of Orthopaedic Research. 2019 ; Vol. 37, No. 4. pp. 855-866.
@article{0c325c1de83b473e96213333604981d0,
title = "Quantifying Complex Micro-Topography of Degenerated Articular Cartilage Surface by Contrast-Enhanced Micro-Computed Tomography and Parametric Analyses",
abstract = "One of the earliest changes in osteoarthritis (OA) is a surface discontinuity of the articular cartilage (AC), and these surface changes become gradually more complex with OA progression. We recently developed a contrast enhanced micro-computed tomography (mu CT) method for visualizing AC surface in detail. The present study aims to introduce a mu CT analysis technique to parameterize these complex AC surface features and to demonstrate the feasibility of using these parameters to quantify degenerated AC surface. Osteochondral plugs (n = 35) extracted from 19 patients undergoing joint surgery were stained with phosphotungstic acid and imaged using mu CT. The surface micro-topography of AC was analyzed with developed method. Standard root mean square roughness (R-q) was calculated as a reference, and the Area Under Curve (AUC) for receiver operating characteristic analysis was used to compare the acquired quantitative parameters with semi-quantitative visual grading of mu CT image stacks. The parameters quantifying the complex micro-topography of AC surface exhibited good sensitivity and specificity in identifying surface continuity (AUC: 0.93, [0.80 0.99]), fissures (AUC: 0.94, [0.83 0.99]) and fibrillation (AUC: 0.98, [0.88 1.0]). Standard R-q was significantly smaller compared with the complex roughness (CRq) already with mild surface changes with all surface reference parameters - continuity, fibrillation, and fissure sum. Furthermore, only CRq showed a significant difference when comparing the intact surface with lowest fissure sum score. These results indicate that the presented method for evaluating complex AC surfaces exhibit potential to identify early OA changes in superficial AC and is dynamic throughout OA progression. (c) 2019 The Authors. Journal of Orthopaedic Research (R) Published by Wiley Periodicals, Inc. on behalf of the Orthopaedic Research Society. Society. 9999:1-12, 2019.",
keywords = "articular cartilage, topography, surface roughness, 3D imaging, microcomputed X-ray tomography, QUANTITATIVE ASSESSMENT, CT ARTHROGRAPHY, OSTEOARTHRITIS, ROUGHNESS, ULTRASOUND, THICKNESS, QUANTIFICATION, MORPHOLOGY, DIAGNOSIS, MRI, 3126 Surgery, anesthesiology, intensive care, radiology, 114 Physical sciences",
author = "Tuomo Ylitalo and Finnil{\"a}, {Mikko A. J.} and Gahunia, {Harpal K.} and Karhula, {Sakari S.} and Heikki Suhonen and Maarit Valkealahti and Petri Lehenkari and Edward Haeggstr{\"o}m and Pritzker, {Kenneth P. H.} and Simo Saarakkala and Nieminen, {Heikki J.}",
year = "2019",
month = "4",
doi = "10.1002/jor.24245",
language = "English",
volume = "37",
pages = "855--866",
journal = "Journal of Orthopaedic Research",
issn = "0736-0266",
publisher = "Wiley",
number = "4",

}

Quantifying Complex Micro-Topography of Degenerated Articular Cartilage Surface by Contrast-Enhanced Micro-Computed Tomography and Parametric Analyses. / Ylitalo, Tuomo; Finnilä, Mikko A. J.; Gahunia, Harpal K.; Karhula, Sakari S.; Suhonen, Heikki; Valkealahti, Maarit; Lehenkari, Petri; Haeggström, Edward; Pritzker, Kenneth P. H.; Saarakkala, Simo; Nieminen, Heikki J.

In: Journal of Orthopaedic Research, Vol. 37, No. 4, 04.2019, p. 855-866.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Quantifying Complex Micro-Topography of Degenerated Articular Cartilage Surface by Contrast-Enhanced Micro-Computed Tomography and Parametric Analyses

AU - Ylitalo, Tuomo

AU - Finnilä, Mikko A. J.

AU - Gahunia, Harpal K.

AU - Karhula, Sakari S.

AU - Suhonen, Heikki

AU - Valkealahti, Maarit

AU - Lehenkari, Petri

AU - Haeggström, Edward

AU - Pritzker, Kenneth P. H.

AU - Saarakkala, Simo

AU - Nieminen, Heikki J.

PY - 2019/4

Y1 - 2019/4

N2 - One of the earliest changes in osteoarthritis (OA) is a surface discontinuity of the articular cartilage (AC), and these surface changes become gradually more complex with OA progression. We recently developed a contrast enhanced micro-computed tomography (mu CT) method for visualizing AC surface in detail. The present study aims to introduce a mu CT analysis technique to parameterize these complex AC surface features and to demonstrate the feasibility of using these parameters to quantify degenerated AC surface. Osteochondral plugs (n = 35) extracted from 19 patients undergoing joint surgery were stained with phosphotungstic acid and imaged using mu CT. The surface micro-topography of AC was analyzed with developed method. Standard root mean square roughness (R-q) was calculated as a reference, and the Area Under Curve (AUC) for receiver operating characteristic analysis was used to compare the acquired quantitative parameters with semi-quantitative visual grading of mu CT image stacks. The parameters quantifying the complex micro-topography of AC surface exhibited good sensitivity and specificity in identifying surface continuity (AUC: 0.93, [0.80 0.99]), fissures (AUC: 0.94, [0.83 0.99]) and fibrillation (AUC: 0.98, [0.88 1.0]). Standard R-q was significantly smaller compared with the complex roughness (CRq) already with mild surface changes with all surface reference parameters - continuity, fibrillation, and fissure sum. Furthermore, only CRq showed a significant difference when comparing the intact surface with lowest fissure sum score. These results indicate that the presented method for evaluating complex AC surfaces exhibit potential to identify early OA changes in superficial AC and is dynamic throughout OA progression. (c) 2019 The Authors. Journal of Orthopaedic Research (R) Published by Wiley Periodicals, Inc. on behalf of the Orthopaedic Research Society. Society. 9999:1-12, 2019.

AB - One of the earliest changes in osteoarthritis (OA) is a surface discontinuity of the articular cartilage (AC), and these surface changes become gradually more complex with OA progression. We recently developed a contrast enhanced micro-computed tomography (mu CT) method for visualizing AC surface in detail. The present study aims to introduce a mu CT analysis technique to parameterize these complex AC surface features and to demonstrate the feasibility of using these parameters to quantify degenerated AC surface. Osteochondral plugs (n = 35) extracted from 19 patients undergoing joint surgery were stained with phosphotungstic acid and imaged using mu CT. The surface micro-topography of AC was analyzed with developed method. Standard root mean square roughness (R-q) was calculated as a reference, and the Area Under Curve (AUC) for receiver operating characteristic analysis was used to compare the acquired quantitative parameters with semi-quantitative visual grading of mu CT image stacks. The parameters quantifying the complex micro-topography of AC surface exhibited good sensitivity and specificity in identifying surface continuity (AUC: 0.93, [0.80 0.99]), fissures (AUC: 0.94, [0.83 0.99]) and fibrillation (AUC: 0.98, [0.88 1.0]). Standard R-q was significantly smaller compared with the complex roughness (CRq) already with mild surface changes with all surface reference parameters - continuity, fibrillation, and fissure sum. Furthermore, only CRq showed a significant difference when comparing the intact surface with lowest fissure sum score. These results indicate that the presented method for evaluating complex AC surfaces exhibit potential to identify early OA changes in superficial AC and is dynamic throughout OA progression. (c) 2019 The Authors. Journal of Orthopaedic Research (R) Published by Wiley Periodicals, Inc. on behalf of the Orthopaedic Research Society. Society. 9999:1-12, 2019.

KW - articular cartilage

KW - topography

KW - surface roughness

KW - 3D imaging

KW - microcomputed X-ray tomography

KW - QUANTITATIVE ASSESSMENT

KW - CT ARTHROGRAPHY

KW - OSTEOARTHRITIS

KW - ROUGHNESS

KW - ULTRASOUND

KW - THICKNESS

KW - QUANTIFICATION

KW - MORPHOLOGY

KW - DIAGNOSIS

KW - MRI

KW - 3126 Surgery, anesthesiology, intensive care, radiology

KW - 114 Physical sciences

U2 - 10.1002/jor.24245

DO - 10.1002/jor.24245

M3 - Article

VL - 37

SP - 855

EP - 866

JO - Journal of Orthopaedic Research

JF - Journal of Orthopaedic Research

SN - 0736-0266

IS - 4

ER -