Semi‐automated International Cartilage Repair Society scoring of equine articular cartilage lesions in optical coherence tomography images

Moller, N.C.R. te; Pitkänen, Mikko R. A.; Sarin, Jaakko K.; Väänänen, Sami P.; Liukkonen, Jukka; Afara, Isaac O.; Puhakka, P H; Brommer, Harold; Niemelä, Tytti; Tulamo, Riitta‐Mari; Capilla, David Argüelles; Töyräs, Juha

doi:10.1111/evj.12637

Cited by 4 publications

(21 citation statements)

References 32 publications

(63 reference statements)

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“…The The reference to which the quantitative results were compared was defined as the median of the qualitative histology grades of the three observers' second reading. The distribution of the 33 samples was: grade 1 (19), grade 2 (3), grade 3 (5), grade 4 (5) and grade 5 (1). The distribution of the 18 observations was: grade 1 (7), grade 1.5 (1), grade 2 (5), grade 2.5 (3), grade 3 (1), and grade 3.5 (1).…”

Section: Qualitative Analysismentioning

confidence: 98%

“…For in vivo cartilage assessment, arthroscopy is considered to be the clinical reference standard 1 . However, the grading depends on the surgeon's subjective interpretation, resulting in poor interobserver reliability 2,3 .…”

Section: Introductionmentioning

confidence: 99%

“…Optical coherence tomography (OCT) has been proposed as a means to overcome the limitations of conventional arthroscopy 1,4,5 . The relevance of OCT for human knee cartilage diagnosis has been evaluated with promising results 6e12 and a high level of agreement with histology has been demonstrated 7 .…”

Section: Introductionmentioning

confidence: 99%

“…The relevance of OCT for human knee cartilage diagnosis has been evaluated with promising results 6e12 and a high level of agreement with histology has been demonstrated 7 . Due to the observerdependent nature of qualitative grading, recent research activity has focused on quantitative OCT-based image analysis in order to achieve a more objective and reliable assessment of cartilage degeneration 1,8,9,11,13 .…”

Section: Introductionmentioning

confidence: 99%

“…Closely matching histology and FFOCT images of human knee cartilage samples of variable degeneration were acquired. The ability of FFOCT to provide high quality images that enable the classification of cartilage degeneration was then evaluated (1) qualitatively using an established histology scoring system and (2) quantitatively using a near-automatic algorithm based on ISO standards.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Qualitative and quantitative assessment of cartilage degeneration using full-field optical coherence tomography ex vivo

Pailhé

Mounier

Boisson

et al. 2018

Osteoarthritis and Cartilage

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show abstract

Section: Qualitative Analysismentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Qualitative and quantitative assessment of cartilage degeneration using full-field optical coherence tomography ex vivo

Pailhé

Mounier

Boisson

et al. 2018

Osteoarthritis and Cartilage

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Multimodality scoring of chondral injuries in the equine fetlock joint ex vivo

Sarin

Brommer

Argüelles

et al. 2017

Osteoarthritis and Cartilage

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OCT imaging supplemented with the automated software provided the most reliable lesion scoring. However, limited penetration depth of light limits the clinical potential of OCT in assessing human cartilage thickness; thus, the combination of OCT and ultrasound could be optimal for reliable diagnostics. Present findings suggest imaging and quantitatively analyzing the entire articular surface to eliminate surgeon-related variation in the selection of the most severe lesion to be scored.

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Nondestructive testing of native and tissue-engineered medical products: adding numbers to pictures

Castro

Babakhanova

et al. 2022

Trends in Biotechnology

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Traditional destructive tests are used for quality assurance and control within manufacturing workflows. Their applicability to biomanufacturing is limited due to inherent constraints of the biomanufacturing process. To address this, photo-and acoustic-based nondestructive testing has risen in prominence to interrogate not only structure and function, but also to integrate quantitative measurements of biochemical composition to cross-correlate structural, compositional, and functional variances. We survey relevant literature related to single-mode and multimodal nondestructive testing of soft tissues, which adds numbers (quantitative measurements) to pictures (qualitative data). Native and tissue-engineered articular cartilage is highlighted because active biomanufacturing processes are being developed. Included are recent efforts and prominent trends focused on technologies for clinical and in-process biomanufacturing applications. Nondestructive testing of soft tissuesNondestructive (see Glossary) qualitative and quantitative assessment of native and tissueengineered soft tissues is a research area with great clinical and industrial potential. Specific to the biomanufacturing of tissue-engineered medical products (TEMPs), a core challenge of the field is in understanding and assessing the critical quality attributes of engineered tissues and correlating the critical process parameters and material attributes that greatly affect the intended clinical function [1]. Therefore, there is a growing need to develop nondestructive and noninvasive quantitative tools and methods to verify and to validate the critical biochemical components of TEMPs produced from a biological source, monitor extracellular matrix (ECM) development and composition, and correlate these critical components to tissue function (continuously and at predefined timepoints) [1].For example, when developing TEMPs for articular cartilage (AC), the mechanical properties (function) of native tissue are used to qualify the robustness and project the long-term efficacy of developing and clinically used products [2]. One method of tissue engineering AC is using the self-assembling process, where mature chondrocytes are harvested, dedifferentiated, and subsequently redifferentiated in vitro to produce a more hyaline-like AC [3][4][5]. Tissue engineering is inherently time-, resource-, and cost-intensive, and the destructive testing used to verify and validate tissue-engineered AC can be inappropriate or impractical for scale-up and biomanufacturing. Therefore, nondestructive methods to assess the evolution of mechanical properties and correlate them back to structure and composition are needed to further the clinical translation of TEMPs.The structure and composition of tissues has been independently evaluated by linear and nonlinear optics-based imaging techniques (e.g., second-harmonic generation (SHG) [6][7][8][9], Highlights Optics-based nondestructive techniques have shown to produce corroborative and congruent results to traditional tests.

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Semi‐automated International Cartilage Repair Society scoring of equine articular cartilage lesions in optical coherence tomography images

Cited by 4 publications

References 32 publications

Qualitative and quantitative assessment of cartilage degeneration using full-field optical coherence tomography ex vivo

Qualitative and quantitative assessment of cartilage degeneration using full-field optical coherence tomography ex vivo

Multimodality scoring of chondral injuries in the equine fetlock joint ex vivo

Nondestructive testing of native and tissue-engineered medical products: adding numbers to pictures

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