Geometric morphometric analysis reveals age-related differences in the distal femur of Europeans

Cavaignac, Étienne; Savall, F.; Chantalat, Élodie; Faruch, Marie; Reina, Nicolas; Chiron, Philippe; Telmon, Norbert

doi:10.1186/s40634-017-0095-3

Cited by 14 publications

(8 citation statements)

References 40 publications

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“…The mean age of the sample was 70 years, comprising only candidates for TKA. This was an important characteristic of the study, as the anatomy of the femur is influenced by age, as demonstrated by Pujol et al [38,39], Cavaignac et al [40], and Li et al [41].…”

Section: Plos Onementioning

confidence: 86%

Intraoperative morphometric study of distal femur in Brazilian patients undergoing total knee arthroplasty

et al. 2020

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BackgroundTotal knee arthroplasty (TKA) is the treatment option for patients with severe osteoarthritis (OA) of the knee whose symptoms are refractory to conservative management. Unfortunately, the level of patient dissatisfaction is high, reaching up to 25%. The reasons for this dissatisfaction are multifactorial, but bone-implant mismatch significantly increases the chance of pain and functional limitation. Sex-specific prosthesis designs have been developed to overcome this issue, but their use is still controversial. The primary objective of this study was to evaluate possible sex differences in the shape of the distal femur in patients with osteoarthritis. Secondary objectives were to investigate interpersonal variability of the distal femur and to determine the number of femoral implant sizes required to meet shape variations. Methods and findingsA cross-sectional observational study prospectively compared 294 knees of 293 patients with osteoarthritis according to sex (201 female/93 male). Six intraoperative measurements were performed on the distal femur (height and width of both lateral and medial condyles, total medial-lateral width of the femur, and intercondylar distance). Sex differences and interpersonal variability were analyzed by multiple linear regressions. Measurements were also correlated with patient height. An optimization analysis was used to estimate the number of femoral implant sizes required. There were significant sex differences in the distal femur, where men had higher values than women in all measurements. Great interpersonal variability was found. The height of the lateral condyle was correlated with patient height, but the correlation was not strong. Twenty-five femoral implant sizes were required to meet the shape variations in our sample.

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Section: Plos Onementioning

confidence: 86%

Intraoperative morphometric study of distal femur in Brazilian patients undergoing total knee arthroplasty

et al. 2020

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“…Objectively distinguishing between a normal and OA osteochondral unit is essential for translational and clinical settings. Statistical shape modelling (SSM) is increasingly used in computer-aided surgery, describing the complex geometry and natural variability of three-dimensional anatomical structures like bones and joints 43 – 48 , with the possibility of incorporating other parameters such as density into the model 44 , 49 . SSMs may help to reconstruct patient-specific anatomy from partial or unclear anatomical information and can be used to assess variations in shape to detect gross pathological alterations during knee OA 50 .…”

Section: Discussionmentioning

confidence: 99%

Reliable landmarks for precise topographical analyses of pathological structural changes of the ovine tibial plateau in 2-D and 3-D subspaces

Oláh

Reinhard

Gao

et al. 2018

Sci Rep

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Selecting identical topographical locations to analyse pathological structural changes of the osteochondral unit in translational models remains difficult. The specific aim of the study was to provide objectively defined reference points on the ovine tibial plateau based on 2-D sections of micro-CT images useful for reproducible sample harvesting and as standardized landmarks for landmark-based 3-D image registration. We propose 5 reference points, 11 reference lines and 12 subregions that are detectable macroscopically and on 2-D micro-CT sections. Their value was confirmed applying landmark-based rigid and affine 3-D registration methods. Intra- and interobserver comparison showed high reliabilities, and constant positions (standard errors < 1%). Spatial patterns of the thicknesses of the articular cartilage and subchondral bone plate were revealed by measurements in 96 individual points of the tibial plateau. As a case study, pathological phenomena 6 months following OA induction in vivo such as osteophytes and areas of OA development were mapped to the individual subregions. These new reference points and subregions are directly identifiable on tibial plateau specimens or macroscopic images, enabling a precise topographical location of pathological structural changes of the osteochondral unit in both 2-D and 3-D subspaces in a region-appropriate fashion relevant for translational investigations.

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“…HSI generates a large amount of high dimensional data which is complex and redundant, making it difficult to analyze without the support of multivariate analytical methods [43]. Principal component analysis (PCA) is a well-established statistical method [44] and an efficient technique to be applied on the hyperspectral cube to decompose the highly correlated spectral data and reduce their dimensionality. New variables called principal components (PC) are formed which are not correlated to each other and are linear combinations of the original variables [45].…”

Section: Methodsmentioning

confidence: 99%

Non-Destructive Trace Detection of Explosives Using Pushbroom Scanning Hyperspectral Imaging System

Chaudhary

Ninsawat

Nakamura

2018

Sensors

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The aim of this study was to investigate the potential of the non-destructive hyperspectral imaging system (HSI) and accuracy of the model developed using Support Vector Machine (SVM) for determining trace detection of explosives. Raman spectroscopy has been used in similar studies, but no study has been published which is based on measurement of reflectance from hyperspectral sensor for trace detection of explosives. HSI used in this study has an advantage over existing techniques due to its combination of imaging system and spectroscopy, along with being contactless and non-destructive in nature. Hyperspectral images of the chemical were collected using the BaySpec hyperspectral sensor which operated in the spectral range of 400–1000 nm (144 bands). Image processing was applied on the acquired hyperspectral image to select the region of interest (ROI) and to extract the spectral reflectance of the chemicals which were stored as spectral library. Principal Component Analysis (PCA) and first derivative was applied to reduce the high dimensionality of the image and to determine the optimal wavelengths between 400 and 1000 nm. In total, 22 out of 144 wavelengths were selected by analysing the loadings of principal components (PC). SVM was used to develop the classification model. SVM model established on the whole spectrum from 400 to 1000 nm achieved an accuracy of 81.11%, whereas an accuracy of 77.17% with less computational load was achieved when SVM model was established on the optimal wavelengths selected. The results of the study demonstrate that the hyperspectral imaging system along with SVM is a promising tool for trace detection of explosives.

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Geometric morphometric analysis reveals age-related differences in the distal femur of Europeans

Cited by 14 publications

References 40 publications

Intraoperative morphometric study of distal femur in Brazilian patients undergoing total knee arthroplasty

Intraoperative morphometric study of distal femur in Brazilian patients undergoing total knee arthroplasty

Reliable landmarks for precise topographical analyses of pathological structural changes of the ovine tibial plateau in 2-D and 3-D subspaces

Non-Destructive Trace Detection of Explosives Using Pushbroom Scanning Hyperspectral Imaging System

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