C
Cristina Caresio
Researcher at Polytechnic University of Turin
Publications - 19
Citations - 460
Cristina Caresio is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Sarcopenia & Contrast-enhanced ultrasound. The author has an hindex of 9, co-authored 19 publications receiving 345 citations. Previous affiliations of Cristina Caresio include Eindhoven University of Technology & University of Turin.
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Muscle echo intensity: reliability and conditioning factors.
TL;DR: To assess the issue of muscle echo intensity reliability and to investigate the relationship between Muscle echo intensity and size, shape and location of the region of interest (ROI) used for echo intensity quantification, a database of echo intensity measurements is analyzed.
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Ultrasound-Based Detection of Low Muscle Mass for Diagnosis of Sarcopenia in Older Adults
Marco Alessandro Minetto,Cristina Caresio,Tommaso Menapace,Arnel Hajdarevic,Andrea Marchini,Filippo Molinari,Nicola A. Maffiuletti +6 more
TL;DR: In this article, site-specific cut-points for ultrasound-based assessment of low muscle mass (muscle thickness values 2 standard deviations below the gender-specific means of a sample of younger subjects) and comparative prevalence rates of low mass in older adults were established in a group of healthy younger subjects of white ethnicity.
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Advances in Quantitative Muscle Ultrasonography Using Texture Analysis of Ultrasound Images
Filippo Molinari,Cristina Caresio,Cristina Caresio,U. Rajendra Acharya,U. Rajendra Acharya,Muthu Rama Krishnan Mookiah,Marco Alessandro Minetto +6 more
TL;DR: The results show that the combination of first-order and higher-order texture descriptors (Haralick, Galloway and LBP) can be used to discriminate gender and muscle types, and may be useful to investigate muscle damage and myopathic disorders.
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Fully Automated Muscle Ultrasound Analysis (MUSA): Robust and Accurate Muscle Thickness Measurement
Cristina Caresio,Massimo Salvi,Filippo Molinari,Kristen M. Meiburger,Marco Alessandro Minetto +4 more
TL;DR: The aim of this study was to develop and validate a fully automatic method, named MUSA (Muscle UltraSound Analysis), for measurement of muscle thickness on longitudinal ultrasound images acquired from different skeletal muscles.
Original Research Ultrasound-Based Detection of Low Muscle Mass for Diagnosis of Sarcopenia in Older Adults
Marco Alessandro Minetto,Cristina Caresio,Tommaso Menapace,Arnel Hajdarevic,Andrea Marchini,Filippo Molinari,Nicola A. Maffiuletti +6 more
TL;DR: To establish muscle‐specific cut‐off values for ultrasound‐based detection of low muscle mass, and to assess its prevalence in a population of frail older subjects when applying the cut‐points of different muscles and those of different sarcopenic indices.