The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform

Magni Martens - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of pork colour prediction of visual sensory quality of meat from instrumental and computer vision methods of colour analysis
    Meat Science, 2003
    Co-Authors: Maurice G Osullivan, Derek V Byrne, Harald Martens, Lars Gidskehaug, Henrik J Andersen, Magni Martens
    Abstract:

    Abstract M. longissimus dorsi minced pork patties from three dietary treatment groups of DLY (Duroc/Landrace/Yorkshire) cross bred pigs were packaged in polythene bags and placed in a retail refrigerated display cabinet at 5 °C±1 °C, under fluorescent light (1000 lux) for up to 5 days. Each dietary treatment group consisted of pigs ( n =7) fed either a low vitamin E diet (80 mg dl -α-tocopheryl acetate/kg of feed), supplemental iron (7 g iron (II) sulphate/kg feed) or supplemental vitamin E (200mg dl -α-tocopheryl acetate/kg of feed) + supplemental iron). Samples were subjected to visual colour evaluation by a trained sensory panel ( n =8) and an untrained panel ( n =8) on days 0, 1, 3 and 5. Instrumental Hunter L ∗ , a ∗ and b ∗ values were measured on each day of analysis using a Minolta colorimeter. In addition RGB (red, green and blue) and Hunter L ∗ , a ∗ and b ∗ values were measured using a digital camera. The use of trained and untrained panellists are both relevant in the visual assessment of meat products. In a previous study O'Sullivan, Byrne, and Martens (2003) indicated that the untrained panellist is analogous to the consumer and how they perceive colour changes in meat. However, the trained panellist is useful in the assessment of unfamiliar products and where a greater degree of discrimination is required. The order of oxidation of the experimental treatments was Control (low vitamin E) L value descriptors. This was postulated to be due to the fact that the camera took measurements over the entire surface of samples and thus a more representative measurement was taken compared to the colorimeter.

  • evaluation of pork colour prediction of visual sensory quality of meat from instrumental and computer vision methods of colour analysis
    Meat Science, 2003
    Co-Authors: Maurice G Osullivan, Derek V Byrne, Harald Martens, Lars Gidskehaug, Henrik J Andersen, Magni Martens
    Abstract:

    M. longissimus dorsi minced pork patties from three dietary treatment groups of DLY (Duroc/Landrace/Yorkshire) cross bred pigs were packaged in polythene bags and placed in a retail refrigerated display cabinet at 5 °C±1 °C, under fluorescent light (1000 lux) for up to 5 days. Each dietary treatment group consisted of pigs (n=7) fed either a low vitamin E diet (80 mg dl-α-tocopheryl acetate/kg of feed), supplemental iron (7 g iron (II) sulphate/kg feed) or supplemental vitamin E (200mg dl-α-tocopheryl acetate/kg of feed) + supplemental iron). Samples were subjected to visual colour evaluation by a trained sensory panel (n=8) and an untrained panel (n=8) on days 0, 1, 3 and 5. Instrumental Hunter L(∗), a(∗) and b(∗) values were measured on each day of analysis using a Minolta colorimeter. In addition RGB (red, green and blue) and Hunter L(∗), a(∗) and b(∗) values were measured using a digital camera. The use of trained and untrained panellists are both relevant in the visual assessment of meat products. In a previous study O'Sullivan, Byrne, and Martens (2003) indicated that the untrained panellist is analogous to the consumer and how they perceive colour changes in meat. However, the trained panellist is useful in the assessment of unfamiliar products and where a greater degree of discrimination is required. The order of oxidation of the experimental treatments was Control (low vitamin E) vitamin E

Ron Keren - One of the best experts on this subject based on the ideXlab platform.

  • detection of enthesitis in children with enthesitis related arthritis Dolorimeter examination compared to ultrasonography
    Arthritis & Rheumatism, 2014
    Co-Authors: Pamela F Weiss, Nancy A Chauvin, Andrew J Klink, Russell Localio, Chris Feudtner, Diego Jaramillo, Robert A Colbert, David D Sherry, Ron Keren
    Abstract:

    Enthesitis refers to inflammation where the ligaments, tendons, and joint capsules attach to the bone. It is a distinct clinical hallmark of the spondyloarthropathies (SpA) in both children and adults. In children, enthesitis is usually diagnosed by clinical findings including localized pain, tenderness, and swelling. These findings, however, are non-specific and can also be found in normal children(1), and in patients with over-use injuries, apophysitis, and fibromyalgia. In adult SpA, magnetic resonance imaging (MRI) and ultrasound (US) with power Doppler are used to distinguish inflammatory enthesitis from these other conditions(2–4). In studies that used these imaging modalities as the reference standard to evaluate adult SpA, physical examination had poor sensitivity for detecting inflammatory enthesitis(2) and US was a useful tool for following enthesitis response to treatment(5). In these studies the sensitivity of physical examination was low, ranging from 0.16 to 0.22 and the specificity was moderate ranging from 0.80–0.87 (2, 6). The sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of clinical examination for detection of enthesitis have been sparsely studied in juvenile idiopathic arthritis (JIA) (7, 8). The accurate diagnosis of enthesitis is important because its presence has implications regarding JIA classification, which in turn influences treatment decisions and monitoring for extra-articular manifestations of disease. Currently physicians vary with regard to which entheses they evaluate, the amount of pressure they apply, and what criteria they use to diagnose positive findings (e.g., verbal indication of pain or withdraw to pain). The International League of Associations for Rheumatology (ILAR) classification for JIA classifies many children with SpA as enthesitis-related arthritis (ERA) (9) solely based on the presence of enthesitis. In this study we sought to evaluate the distribution of enthesitis and the accuracy of physical examination (physical examination) for the detection of enthesitis in children. We examined 6 bilateral entheses in children with ERA, the JIA category with the highest prevalence of enthesitis as well as healthy controls. We used a Dolorimeter to objectively measure the pressure applied during the exam and performed US as the reference standard test at the same visit.

  • detection of enthesitis in children with enthesitis related arthritis dolorimetry compared to ultrasonography
    Arthritis & Rheumatism, 2014
    Co-Authors: Pamela F Weiss, Nancy A Chauvin, Andrew J Klink, Russell Localio, Chris Feudtner, Diego Jaramillo, Robert A Colbert, David D Sherry, Ron Keren
    Abstract:

    Objective To evaluate the distribution of enthesitis and the accuracy of physical examination with a Dolorimeter for the detection of enthesitis in children, using ultrasound (US) assessment as the reference standard. Methods We performed a prospective cross-sectional study of 30 patients with enthesitis-related arthritis (ERA) and 30 control subjects. The following tendon insertion sites were assessed by standardized physical examination with a Dolorimeter and US: common extensor on the lateral humeral epicondyle, common flexor on the medial humeral epicondyle, quadriceps at the superior patella, patellar ligament at the inferior patella, Achilles, and plantar fascia at the calcaneus. Results Abnormal findings on US were detected most commonly at the insertion of the quadriceps (30% [18 of 60 sites]), common extensor (12% [7 of 60]), and Achilles (10% [6 of 60]) tendons. The intrarater reliability of US (kappa statistic) was 0.78 (95% confidence interval [95% CI] 0.63–0.93), and the interrater reliability was 0.81 (95% CI 0.67–0.95). Tenderness as detected by standardized Dolorimeter examination had poor positive predictive value for US-confirmed enthesitis. In comparison to controls, patients with ERA reported more pain and had lower pain thresholds at every site, including control sites (P < 0.001 for all comparisons). The interrater reliability of Dolorimeter examination for detection of enthesitis was low (κ = 0.49 [95% CI 0.33–0.65]). Conclusion Compared to US, standardized Dolorimeter examination for the detection of enthesitis in children has poor accuracy and reliability. The decreased pain threshold of ERA patients likely contributed to the limited accuracy of the physical examination findings. Further research regarding the utility of US for identifying enthesitis at diagnosis of juvenile idiopathic arthritis, accurately predicting disease progression, and guiding therapeutic decisions is warranted.

Maurice G Osullivan - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of pork colour prediction of visual sensory quality of meat from instrumental and computer vision methods of colour analysis
    Meat Science, 2003
    Co-Authors: Maurice G Osullivan, Derek V Byrne, Harald Martens, Lars Gidskehaug, Henrik J Andersen, Magni Martens
    Abstract:

    Abstract M. longissimus dorsi minced pork patties from three dietary treatment groups of DLY (Duroc/Landrace/Yorkshire) cross bred pigs were packaged in polythene bags and placed in a retail refrigerated display cabinet at 5 °C±1 °C, under fluorescent light (1000 lux) for up to 5 days. Each dietary treatment group consisted of pigs ( n =7) fed either a low vitamin E diet (80 mg dl -α-tocopheryl acetate/kg of feed), supplemental iron (7 g iron (II) sulphate/kg feed) or supplemental vitamin E (200mg dl -α-tocopheryl acetate/kg of feed) + supplemental iron). Samples were subjected to visual colour evaluation by a trained sensory panel ( n =8) and an untrained panel ( n =8) on days 0, 1, 3 and 5. Instrumental Hunter L ∗ , a ∗ and b ∗ values were measured on each day of analysis using a Minolta colorimeter. In addition RGB (red, green and blue) and Hunter L ∗ , a ∗ and b ∗ values were measured using a digital camera. The use of trained and untrained panellists are both relevant in the visual assessment of meat products. In a previous study O'Sullivan, Byrne, and Martens (2003) indicated that the untrained panellist is analogous to the consumer and how they perceive colour changes in meat. However, the trained panellist is useful in the assessment of unfamiliar products and where a greater degree of discrimination is required. The order of oxidation of the experimental treatments was Control (low vitamin E) L value descriptors. This was postulated to be due to the fact that the camera took measurements over the entire surface of samples and thus a more representative measurement was taken compared to the colorimeter.

  • evaluation of pork colour prediction of visual sensory quality of meat from instrumental and computer vision methods of colour analysis
    Meat Science, 2003
    Co-Authors: Maurice G Osullivan, Derek V Byrne, Harald Martens, Lars Gidskehaug, Henrik J Andersen, Magni Martens
    Abstract:

    M. longissimus dorsi minced pork patties from three dietary treatment groups of DLY (Duroc/Landrace/Yorkshire) cross bred pigs were packaged in polythene bags and placed in a retail refrigerated display cabinet at 5 °C±1 °C, under fluorescent light (1000 lux) for up to 5 days. Each dietary treatment group consisted of pigs (n=7) fed either a low vitamin E diet (80 mg dl-α-tocopheryl acetate/kg of feed), supplemental iron (7 g iron (II) sulphate/kg feed) or supplemental vitamin E (200mg dl-α-tocopheryl acetate/kg of feed) + supplemental iron). Samples were subjected to visual colour evaluation by a trained sensory panel (n=8) and an untrained panel (n=8) on days 0, 1, 3 and 5. Instrumental Hunter L(∗), a(∗) and b(∗) values were measured on each day of analysis using a Minolta colorimeter. In addition RGB (red, green and blue) and Hunter L(∗), a(∗) and b(∗) values were measured using a digital camera. The use of trained and untrained panellists are both relevant in the visual assessment of meat products. In a previous study O'Sullivan, Byrne, and Martens (2003) indicated that the untrained panellist is analogous to the consumer and how they perceive colour changes in meat. However, the trained panellist is useful in the assessment of unfamiliar products and where a greater degree of discrimination is required. The order of oxidation of the experimental treatments was Control (low vitamin E) vitamin E

Ada Braghieri - One of the best experts on this subject based on the ideXlab platform.

  • measurement of meat color using a computer vision system
    Meat Science, 2013
    Co-Authors: Antonio Girolami, Fabio Napolitano, Daniela Faraone, Ada Braghieri
    Abstract:

    The limits of the colorimeter and a technique of image analysis in evaluating the color of beef, pork, and chicken were investigated. The Minolta CR-400 colorimeter and a computer vision system (CVS) were employed to measure colorimetric characteristics. To evaluate the chromatic fidelity of the image of the sample displayed on the monitor, a similarity test was carried out using a trained panel. The panelists found the digital images of the samples visualized on the monitor very similar to the actual ones (P<0.001). During the first similarity test the panelists observed at the same time both the actual meat sample and the sample image on the monitor in order to evaluate the similarity between them (test A). Moreover, the panelists were asked to evaluate the similarity between two colors, both generated by the software Adobe Photoshop CS3 one using the L, a and b values read by the colorimeter and the other obtained using the CVS (test B); which of the two colors was more similar to the sample visualized on the monitor was also assessed (test C). The panelists found the digital images very similar to the actual samples (P<0.001). As to the similarity (test B) between the CVS- and colorimeter-based colors the panelists found significant differences between them (P<0.001). Test C showed that the color of the sample on the monitor was more similar to the CVS generated color than to the colorimeter generated color. The differences between the values of the L, a, b, hue angle and chroma obtained with the CVS and the colorimeter were statistically significant (P<0.05-0.001). These results showed that the colorimeter did not generate coordinates corresponding to the true color of meat. Instead, the CVS method seemed to give valid measurements that reproduced a color very similar to the real one.

Pamela F Weiss - One of the best experts on this subject based on the ideXlab platform.

  • detection of enthesitis in children with enthesitis related arthritis Dolorimeter examination compared to ultrasonography
    Arthritis & Rheumatism, 2014
    Co-Authors: Pamela F Weiss, Nancy A Chauvin, Andrew J Klink, Russell Localio, Chris Feudtner, Diego Jaramillo, Robert A Colbert, David D Sherry, Ron Keren
    Abstract:

    Enthesitis refers to inflammation where the ligaments, tendons, and joint capsules attach to the bone. It is a distinct clinical hallmark of the spondyloarthropathies (SpA) in both children and adults. In children, enthesitis is usually diagnosed by clinical findings including localized pain, tenderness, and swelling. These findings, however, are non-specific and can also be found in normal children(1), and in patients with over-use injuries, apophysitis, and fibromyalgia. In adult SpA, magnetic resonance imaging (MRI) and ultrasound (US) with power Doppler are used to distinguish inflammatory enthesitis from these other conditions(2–4). In studies that used these imaging modalities as the reference standard to evaluate adult SpA, physical examination had poor sensitivity for detecting inflammatory enthesitis(2) and US was a useful tool for following enthesitis response to treatment(5). In these studies the sensitivity of physical examination was low, ranging from 0.16 to 0.22 and the specificity was moderate ranging from 0.80–0.87 (2, 6). The sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of clinical examination for detection of enthesitis have been sparsely studied in juvenile idiopathic arthritis (JIA) (7, 8). The accurate diagnosis of enthesitis is important because its presence has implications regarding JIA classification, which in turn influences treatment decisions and monitoring for extra-articular manifestations of disease. Currently physicians vary with regard to which entheses they evaluate, the amount of pressure they apply, and what criteria they use to diagnose positive findings (e.g., verbal indication of pain or withdraw to pain). The International League of Associations for Rheumatology (ILAR) classification for JIA classifies many children with SpA as enthesitis-related arthritis (ERA) (9) solely based on the presence of enthesitis. In this study we sought to evaluate the distribution of enthesitis and the accuracy of physical examination (physical examination) for the detection of enthesitis in children. We examined 6 bilateral entheses in children with ERA, the JIA category with the highest prevalence of enthesitis as well as healthy controls. We used a Dolorimeter to objectively measure the pressure applied during the exam and performed US as the reference standard test at the same visit.

  • detection of enthesitis in children with enthesitis related arthritis dolorimetry compared to ultrasonography
    Arthritis & Rheumatism, 2014
    Co-Authors: Pamela F Weiss, Nancy A Chauvin, Andrew J Klink, Russell Localio, Chris Feudtner, Diego Jaramillo, Robert A Colbert, David D Sherry, Ron Keren
    Abstract:

    Objective To evaluate the distribution of enthesitis and the accuracy of physical examination with a Dolorimeter for the detection of enthesitis in children, using ultrasound (US) assessment as the reference standard. Methods We performed a prospective cross-sectional study of 30 patients with enthesitis-related arthritis (ERA) and 30 control subjects. The following tendon insertion sites were assessed by standardized physical examination with a Dolorimeter and US: common extensor on the lateral humeral epicondyle, common flexor on the medial humeral epicondyle, quadriceps at the superior patella, patellar ligament at the inferior patella, Achilles, and plantar fascia at the calcaneus. Results Abnormal findings on US were detected most commonly at the insertion of the quadriceps (30% [18 of 60 sites]), common extensor (12% [7 of 60]), and Achilles (10% [6 of 60]) tendons. The intrarater reliability of US (kappa statistic) was 0.78 (95% confidence interval [95% CI] 0.63–0.93), and the interrater reliability was 0.81 (95% CI 0.67–0.95). Tenderness as detected by standardized Dolorimeter examination had poor positive predictive value for US-confirmed enthesitis. In comparison to controls, patients with ERA reported more pain and had lower pain thresholds at every site, including control sites (P < 0.001 for all comparisons). The interrater reliability of Dolorimeter examination for detection of enthesitis was low (κ = 0.49 [95% CI 0.33–0.65]). Conclusion Compared to US, standardized Dolorimeter examination for the detection of enthesitis in children has poor accuracy and reliability. The decreased pain threshold of ERA patients likely contributed to the limited accuracy of the physical examination findings. Further research regarding the utility of US for identifying enthesitis at diagnosis of juvenile idiopathic arthritis, accurately predicting disease progression, and guiding therapeutic decisions is warranted.