Comparison of Third Toe Joint Cartilage Thickness to That of the Finger Proximal Interphalangeal (PIP) Joint to Determine Suitability for Transplantation in PIP Joint Reconstruction

Podolsky, Dale J.; Mainprize, James G.; McMillan, Catherine; Binhammer, Paul

doi:10.1016/j.jhsa.2011.09.013

Cited by 14 publications

(15 citation statements)

References 27 publications

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“…The average thickness of cartilage in a healthy finger joint has been measured to be 0.40 AE 0.12 mm with a maximum of 0.67 AE 0.14 mm. 17 The water content has also been found to change in cartilage affected by arthritis. It was reported that there is an increase in water content from the average normal of 60% to 85% to greater than 90%.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral imaging for detection of arthritis: feasibility and prospects

2015

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Abstract. Rheumatoid arthritis (RA) is a disease that frequently leads to joint destruction. It has a high incidence rate worldwide, and the disease significantly reduces patients' quality of life. Detecting and treating inflammatory arthritis before structural damage to the joint has occurred is known to be essential for preventing patient disability and pain. Existing diagnostic technologies are expensive, time consuming, and require trained personnel to collect and interpret data. Optical techniques might be a fast, noninvasive alternative. Hyperspectral imaging (HSI) is a noncontact optical technique which provides both spectral and spatial information in one measurement. In this study, the feasibility of HSI in arthritis diagnostics was explored by numerical simulations and optimal imaging parameters were identified. Hyperspectral reflectance and transmission images of RA and normal human joint models were simulated using the Monte Carlo method. The spectral range was 600 to 1100 nm. Characteristic spatial patterns for RA joints and two spectral windows with transmission were identified. The study demonstrated that transmittance images of human joints could be used as one parameter for discrimination between arthritic and unaffected joints. The presented work shows that HSI is a promising imaging modality for the diagnostics and follow-up monitoring of arthritis in small joints. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 99%

Hyperspectral imaging for detection of arthritis: feasibility and prospects

2015

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“…Further, Sollaccio et al observed substantial variation in articular surface morphology of the dorsal distal hamate between and within individuals, and no uniform similarity in shape between the articular surface of the dorsal distal hamate and the volar middle phalanx base [11]. As such, the variation in hamate morphology, the occurrence of osteoarthritis, and potential donor-site morbidity have led to investigations for alternative donor sites for volar middle phalanx reconstruction [10,14].…”

Section: Discussionmentioning

confidence: 99%

“…A NextEngine 3D laser scanner (NextEngine, Santa Monica, CA) imaged the articulating surface of the hamate with the fourth and fifth MC bases according to methods described by Podolsky [14]. This system allows for highly accurate image acquisition (± 100 µm) with twin array of four class 1M, 10-mW solid-state lasers at 650 nm wavelength with twin 30-megapixel image sensors and optical seven-color capture.…”

Section: Specimensmentioning

confidence: 99%

Modeling the Articular Surface of the Hamate with the Fourth and Fifth Metacarpal Bases with Three-dimensional Laser Scanning

McRae¹,

Dreckmann²,

Sandhu³

et al. 2019

Cureus

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“…To obtain baseline data for measurements of cartilage, the cartilage dissolution technique was used to create bone models without cartilage 25-32 . The joint surfaces of the specimens were soaked in 6.0% sodium hypochlorite for 12 to 24 hours to dissolve the articular cartilage 29 .…”

Section: Methodsmentioning

confidence: 99%

Regional Distribution of Articular Cartilage Thickness in the Elbow Joint

Miyamura

Sakai

Oka

et al. 2019

JBJS OA

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Background:During elbow procedures, reconstruction of the joint (including the articular cartilage) is important in order to restore elbow function; however, the regional distribution of elbow cartilage is not completely understood. The purpose of the present study was to investigate the 3-dimensional (3-D) distribution patterns of cartilage thickness of elbow bones (including the distal part of the humerus, proximal part of the ulna, and radial head) in order to elucidate the morphological relationship among them.Methods:Two 3-D surface models were created with use of a laser scanner: (1) a cartilage-bone model based on 20 elderly cadaveric elbows exhibiting normal cartilaginous conditions and (2) a bone model that was created after dissolving the cartilage. The 2 models were superimposed, and cartilage thickness was measured as the interval distance on the articular surface. Measurements were made at categorized anatomical points of the individual bones, and 3-D distributions on the entire articular surface were analyzed. The spatial relationship among individual bones was also assessed.Results:In the distal part of the humerus, the cartilage was thickest in the intermediate region between the capitellum and the trochlea (mean [and standard deviation], 1.27 ± 0.17 mm); in the proximal part of the ulna, it was thickest at the anterolateral edge of the coronoid (2.20 ± 0.39 mm) and the anteroproximal edge of the proximal sigmoid notch (2.49 ± 0.55 mm); and in the radial head, it was thickest at the articular zone on the rim circumference within the dish (1.10 ± 0.17 mm) and on the proximal circumference around the side (1.02 ± 0.17 mm) (p < 0.001 for all). These thicker cartilage regions gathered on the joint center, facing each other.Conclusions:The present study demonstrated regional variations in elbow cartilage thickness. The combined findings in individual bones showed “cartilage gathering” at the center of the elbow joint, which we believe to be a novel anatomical finding.Clinical Relevance:An enhanced understanding of elbow cartilage geometry will provide additional insights into elbow procedures in elderly individuals, such as hemiarthroplasties, in which anatomical contours could help to restore normal joint function and improve postoperative outcomes.

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Comparison of Third Toe Joint Cartilage Thickness to That of the Finger Proximal Interphalangeal (PIP) Joint to Determine Suitability for Transplantation in PIP Joint Reconstruction

Cited by 14 publications

References 27 publications

Hyperspectral imaging for detection of arthritis: feasibility and prospects

Hyperspectral imaging for detection of arthritis: feasibility and prospects

Modeling the Articular Surface of the Hamate with the Fourth and Fifth Metacarpal Bases with Three-dimensional Laser Scanning

Regional Distribution of Articular Cartilage Thickness in the Elbow Joint

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