4.5 Article

Body composition in clinical practice

Journal

EUROPEAN JOURNAL OF RADIOLOGY
Volume 85, Issue 8, Pages 1461-1468

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.ejrad.2016.02.005

Keywords

Body composition; Sarcopenia; Imaging techniques; Fat mass; Total body water; Body cell mass

Ask authors/readers for more resources

Nutritional status is the results of nutrients intake, absorption and utilization, able to influence physiological and pathological conditions. Nutritional status can be measured for individuals with different techniques, such as CT Body Composition, quantitative Magnetic Resonance Imaging, Ultrasound, Dual Energy X-Ray Absorptiometry and Bioimpendance. Because obesity is becoming a worldwide epidemic, there is an increasing interest in the study of body composition to monitor conditions and delay in development of obesity-related diseases. The emergence of these evidence demonstrates the need of standard assessment of nutritional status based on body weight changes, playing an important role in several clinical setting, such as in quantitative measurement of tissues and their fluctuations in body composition, in survival rate, in pathologic condition and illnesses. Since body mass index has been shown to be an imprecise measurement of fat-free and fat mass, body cell mass and fluids, providing no information if weight changes, consequently there is the need to find a better way to evaluate body composition, in order to assess fat-free and fat mass with weight gain and loss, and during ageing. Monitoring body composition can be very useful for nutritional and medical interventional. This review is focused on the use of Body Composition in Clinical Practice. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Clinical Neurology

Radiological imaging in multiple myeloma: review of the state-of-the-art

Francesca Di Giuliano, Eliseo Picchi, Massimo Muto, Antonello Calcagni, Valentina Ferrazzoli, Valerio Da Ros, Silvia Minosse, Agostino Chiaravalloti, Francesco Garaci, Roberto Floris, Mario Muto

NEURORADIOLOGY (2020)

Letter Clinical Neurology

Letter to the Editor Regarding Possible Prognostic Role of Magnetic Resonance Imaging Findings in Patients with Trigeminal Neuralgia and Multiple Sclerosis who Underwent Percutaneous Balloon Compression: Report of Our Series and Literature Review

Mario Francesco Fraioli, Gianluca Scalia, Francesco Giuseppe Garaci, Chiara Fraioli, Pierpaolo Lunardi, Giuseppe Emmanuele Umana

WORLD NEUROSURGERY (2020)

Review Immunology

A Path Toward Precision Medicine for Neuroinflammatory Mechanisms in Alzheimer's Disease

Harald Hampel, Filippo Caraci, A. Claudio Cuello, Giuseppe Caruso, Robert Nistico, Massimo Corbo, Filippo Baldacci, Nicola Toschi, Francesco Garaci, Patrizia A. Chiesa, Steven R. Verdooner, Leyla Akman-Anderson, Felix Hernandez, Jesus avila, Enzo Emanuele, Pedro L. Valenzuela, Alejandro Lucia, Mark Watling, Bruno P. Imbimbo, Andrea Vergallo, Simone Lista

FRONTIERS IN IMMUNOLOGY (2020)

Article Hematology

Early intracranial haemorrhages in acute promyelocytic leukaemia: analysis of neuroradiological and clinico-biological parameters

Carmelo Gurnari, Massimo Breccia, Francesca Di Giuliano, Emilia Scalzulli, Mariadomenica Divona, Alfonso Piciocchi, Laura Cicconi, Eleonora De Bellis, Adriano Venditti, Maria Ilaria Del Principe, William Arcese, Francesco Lo-Coco, Francesco Garaci, Maria Teresa Voso

Summary: Patients with acute promyelocytic leukaemia (APL) who experience intracranial haemorrhage (ICH) are typically older and more likely to have high-risk APL. Positivity for the 'swirl' sign and hydrocephalus on neuroradiological imaging are predictors of a fatal outcome.

BRITISH JOURNAL OF HAEMATOLOGY (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Texture Analysis in the Evaluation of COVID-19 Pneumonia in Chest X-Ray Images: A Proof of Concept Study

Armando Ugo Cavallo, Jacopo Troisi, Marco Forcina, Pier-Valerio Mari, Valerio Forte, Massimiliano Sperandio, Sergio Pagano, Pierpaolo Cavallo, Roberto Floris, Francesco Garaci

Summary: This study aimed to evaluate the diagnostic performance of texture analysis and machine learning models for Covid-19 interstitial pneumonia in Chest X-ray images. By ensembling six different models, it was found that the Covid-19 Ensemble Machine Learning Score showed high accuracy and sensitivity in diagnosing Covid-19 pneumonia.

CURRENT MEDICAL IMAGING (2021)

Review Biochemistry & Molecular Biology

Artificial Intelligence: the Trait D'Union in Different Analysis Approaches of Autism Spectrum Disorder Studies

Francesca Marciano, Giorgia Venutolo, Carminia Marina Ingenito, Antonella Verbeni, Concetta Terracciano, Elizabeth Plunk, Francesco Garaci, Armando Cavallo, Alessio Fasano

Summary: Autistic Spectrum Disorder (ASD) is a neurodevelopmental condition that affects approximately 1 in 70 children worldwide, characterized by cognitive delay, repetitive behaviors, and deficits in communication and social interaction. Artificial intelligence (AI) has been increasingly used to study ASD, aiming to improve diagnostic processes and early access to therapies. Machine learning (ML) approaches have shown promise in analyzing various aspects of ASD research, suggesting potential for enhancing screening, diagnostic, and therapeutic tools in the future.

CURRENT MEDICINAL CHEMISTRY (2021)

Review Biochemistry & Molecular Biology

Physical Exercise and Alzheimer's Disease: Effects on Pathophysiological Molecular Pathways of the Disease

Susana Lopez-Ortiz, Jose Pinto-Fraga, Pedro L. Valenzuela, Juan Martin-Hernandez, Maria M. Seisdedos, Oscar Garcia-Lopez, Nicola Toschi, Francesca Di Giuliano, Francesco Garaci, Nicola Biagio Mercuri, Robert Nistico, Enzo Emanuele, Simone Lista, Alejandro Lucia, Alejandro Santos-Lozano

Summary: Regular physical exercise plays a protective role against Alzheimer's disease by inhibiting crucial pathophysiological molecular pathways related to the disease. Advanced neuroimaging technologies have become increasingly important in exploring the link between AD and physical exercise.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2021)

Article Clinical Neurology

Functional brain network reorganization in HIV infection

Silvia Minosse, Eliseo Picchi, Francesca Di Giuliano, Loredana Sarmati, Elisabetta Teti, Chiara Adriana Pistolese, Simona Lanzafame, Francesco Di Cio, Maria Guerrisi, Massimo Andreoni, Roberto Floris, Nicola Toschi, Francesco Garaci

Summary: Our study using rs-fMRI combined with advanced graph theoretical analysis and disruption indices revealed profound reorganization of brain function in HIV patients compared to healthy controls. The disruption index showed significant negative association with relative CD4 values, and a positive significant association between plasmatic HIV-RNA and local graph-theoretical metrics. Additionally, differential distribution of HIV clinical biomarkers and brain metrics was observed across different cART duration groups.

JOURNAL OF NEUROIMAGING (2021)

Review Cell Biology

Omics sciences for systems biology in Alzheimer's disease: State-of-the-art of the evidence

Harald Hampel, Robert Nistico, Nicholas T. Seyfried, Allan I. Levey, Erica Modeste, Pablo Lemercier, Filippo Baldacci, Nicola Toschi, Francesco Garaci, George Perry, Enzo Emanuele, Pedro L. Valenzuela, Alejandro Lucia, Andrea Urbani, Giulia M. Sancesario, Mark Mapstone, Massimo Corbo, Andrea Vergallo, Simone Lista

Summary: Alzheimer's disease is characterized by complex pathophysiology with high heterogeneity, requiring a holistic approach to fully capture its multifaceted nature. Integrating omics sciences and systems biology network approaches can help detect and describe the biological changes occurring in the progression of AD.

AGEING RESEARCH REVIEWS (2021)

Article Cardiac & Cardiovascular Systems

Relationship between septo-valvular angle and risk of pacemaker implantation after transcatheter aortic valve implantation: a preliminary study

Vincenzo De Stasio, Armando U. Cavallo, Luigi Spiritigliozzi, Luca Pugliese, Matteo Presicce, Carlo Di Donna, Federica Di Tosto, Monia Pasqualetto, Francesca D'Errico, Leonardo Benelli, Francesco P. Sbordone, Francesco Grimaldi, Cecilia Cerimele, Gianluca Vanni, Francesco Romeo, Roberto Floris, Francesco Garaci, Marcello Chiocchi

Summary: Pre-TAVI assessment of the angle between the membranous septum and the aortic annulus (SVA) may predict the onset of major arrhythmias requiring permanent pacemaker implantation, with high sensitivity (94%) and negative predictive value (96%).

JOURNAL OF CARDIOVASCULAR MEDICINE (2021)

Review Clinical Neurology

Neuroimaging findings in leukoencephalopathy with calcifications and cysts: case report and review of the literature

Eliseo Picchi, Valentina Ferrazzoli, Giulia Pizzicannella, Noemi Pucci, Francesca Pitocchi, Fabrizio Valente, Silvia Minosse, Francesca Izzi, Tommaso Schirinzi, Chiara Bonomi, Chiara Aiello, Roberto Floris, Francesco Garaci, Francesca Di Giuliano

Summary: Leukoencephalopathy with cerebral calcifications and cysts (LCC) is a neurological disorder characterized by white matter abnormalities, intracranial calcifications, and variable cystic lesions resulting from diffuse cerebral microangiopathy. Clinical manifestations include focal neurological deficits and seizures, severity depends on cyst size and location. Diffuse microangiopathy is a common histopathological finding, associated with pathogenic mutations in SNORD118 gene causing Labrune syndrome.

NEUROLOGICAL SCIENCES (2021)

Article Biophysics

Global and local brain connectivity changes associated with sudden unilateral sensorineural hearing loss

Silvia Minosse, Francesco Garaci, Federica Martino, Roberta Di Mauro, Milena Melis, Francesca Di Giuliano, Eliseo Picchi, Maria Guerrisi, Roberto Floris, Stefano Di Girolamo, Nicola Toschi

Summary: Recent study used rs-fMRI, graph-theoretical analysis, and a functional disruption index to investigate whole-brain functional changes in patients with sudden sensorineural hearing loss (SSNHL). The findings demonstrated a brain-wide functional network reorganization in SSNHL patients, which correlated with clinical impairment.

NMR IN BIOMEDICINE (2021)

Article Sport Sciences

Generalized bioelectric impedance-based equations underestimate body fluids in athletes

Giuseppe Coratella, Francesco Campa, Catarina N. Matias, Stefania Toselli, Josely C. Koury, Angela Andreoli, Lui-s B. Sardinha, Analiza M. Silva

Summary: The study aimed to validate the predictive equations for total body water and extracellular water in male and female athletes, finding that athlete-specific equations were more accurate than generalized equations. Most of the generalized predictive equations underestimated body fluid volumes, while the athlete-specific equations were more accurate.

SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS (2021)

Article Biology

Reference Percentiles for Bioelectrical Phase Angle in Athletes

Francesco Campa, Diana Maria Thomas, Krista Watts, Nicholas Clark, Daniel Baller, Thomas Morin, Stefania Toselli, Josely Correa Koury, Giovanni Melchiorri, Angela Andreoli, Gabriele Mascherini, Cristian Petri, Luis Bettencourt Sardinha, Analiza Monica Silva

Summary: This study provides percentiles for phase angle in male and female athletes practicing different sports, which can track body composition and performance-related parameters in athletes.

BIOLOGY-BASEL (2022)

Review Radiology, Nuclear Medicine & Medical Imaging

Spinal vascular lesions: anatomy, imaging techniques and treatment

Valerio Da Ros, Eliseo Picchi, Valentina Ferrazzoli, Tommaso Schirinzi, Federico Sabuzi, Piergiorgio Grillo, Massimo Muto, Francesco Garaci, Mario Muto, Francesca Di Giuliano

Summary: This article provides a comprehensive review on the radiological features of the most common vascular myelopathies, emphasizing the importance of understanding vascular spinal anatomy and the clinical aspects of different etiologies in promptly addressing diagnosis and radiological assessment.

EUROPEAN JOURNAL OF RADIOLOGY OPEN (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Thyroid nodule characterization using Spectral Detector Computed Tomography (SDCT) in comparison to ultrasound

Hila Tal Tamir, Dana Stav, Yitzhac Hadad, Rivka Kessner

Summary: This study aimed to characterize thyroid nodules seen on Spectral Detector computed tomography (SDCT) and compare them with their Thyroid Imaging Reporting and Data System (TI-RADS) category on Ultrasound (US). The results showed that the spectral results of SDCT can assist in differentiating thyroid nodules of different risk levels.

EUROPEAN JOURNAL OF RADIOLOGY (2024)

Article Radiology, Nuclear Medicine & Medical Imaging

Myocardial strain parameters in pulmonary hypertension are determined by changes in volumetric function rather than by hemodynamic alterations

Volha Nizhnikava, Ursula Reiter, Gabor Kovacs, Clemens Reiter, Corina Kraeuter, Horst Olschewski, Michael Fuchsjaeger, Gert Reiter

Summary: The purpose of this study was to investigate the associations between cardiac magnetic resonance feature-tracking-derived myocardial strain parameters and volumetric function and hemodynamic parameters in patients with pulmonary hypertension. The results showed that impairment of myocardial strains was more strongly associated with alterations in ventricular function parameters than elevated pulmonary arterial pressure, limiting the diagnostic information of myocardial strain parameters in pulmonary hypertension.

EUROPEAN JOURNAL OF RADIOLOGY (2024)

Article Radiology, Nuclear Medicine & Medical Imaging

Imaging characteristics and prognostic factors of Behcet's disease with arterial involvement: A long-term follow-up study

Yu-ling Qian, Rui-lin Quan, Xiao-xi Chen, Yang-yi Lin, Xiao-li Jing, Qing Gu, Chang-ming Xiong, Jian-guo He, Ai-hua Zhi

Summary: The purpose of this study was to investigate the imaging characteristics and prognostic factors for the long-term survival of Behcet's disease (BD) with arterial involvement. The results showed that arterial lesions associated with BD usually involve multiple arteries and manifest differently in different types of arteries. Cardiac involvement and pulmonary artery aneurysm/dilation were independent prognostic factors for the survival of BD patients with arterial involvement.

EUROPEAN JOURNAL OF RADIOLOGY (2024)

Article Radiology, Nuclear Medicine & Medical Imaging

Metabolic tumor volume and sites of organ involvement predict outcome in NSCLC immune-checkpoint inhibitor therapy

Daria Kifjak, Maximilian Hochmair, Daniel Sobotka, Alexander R. Haug, Raphael Ambros, Florian Prayer, Benedikt H. Heidinger, Sebastian Roehrich, Ruxandra-Iulia Milos, Wolfgang Wadsak, Thorsten Fuereder, Dagmar Krenbek, Andreas Fazekas, Michael Meilinger, Marius E. Mayerhoefer, Georg Langs, Christian Herold, Helmut Prosch, Lucian Beer

Summary: The ability of pretreatment PET parameters and peripheral blood biomarkers to predict PFS and OS in NSCLC patients treated with ICIT was assessed. The study found that MTV and the number of SOI were independent risk factors for progression and overall survival, and the combination of these factors improved risk stratification.

EUROPEAN JOURNAL OF RADIOLOGY (2024)

Article Radiology, Nuclear Medicine & Medical Imaging

Ultra-high resolution photon-counting CT with tin prefiltration for bone-metal interface visualization

Theresa Sophie Patzer, Jan-Peter Grunz, Henner Huflage, Jan-Lucca Hennes, Pauline Pannenbecker, Philipp Gruschwitz, Saif Afat, Judith Herrmann, Thorsten Alexander Bley, Andreas Steven Kunz

Summary: This study investigated the potential of tin prefiltration and virtual monoenergetic imaging (VMI) in suppressing metal artifacts in high-resolution CT images of the lower extremities. The results showed that VMI reconstructions had better artifact reduction compared to T3D. VMI110keV had the least image noise. In terms of image quality, interpretability of bone-metal interface, and overall image quality, VMI110keV performed the best.

EUROPEAN JOURNAL OF RADIOLOGY (2024)

Article Radiology, Nuclear Medicine & Medical Imaging

Whole tumor based texture analysis of magnetic resonance diffusion imaging for colorectal liver metastases: A prospective study for diffusion model comparison and early response biomarker

Yue Li, Huan Zhang, Lei Yue, Caixia Fu, Robert Grimm, Wenhua Li, Weijian Guo, Tong Tong

Summary: This study evaluated and compared the diagnostic value of diffusion-related texture analysis parameters from different magnetic resonance diffusion models in predicting the clinical response to chemotherapy in patients with colorectal liver metastases. Among the models, DKI-derived parameters showed the best performance for early prediction, followed by IVIM-derived parameters and DWI baseline features.

EUROPEAN JOURNAL OF RADIOLOGY (2024)

Article Radiology, Nuclear Medicine & Medical Imaging

Sex differences in abdominal visceral fat composition and metabolism as predictors of DLBCL prognosis: A retrospective cohort study

Lu Wang, ShiXiong Zhang, Jun Xin

Summary: This study aimed to determine if sex differences in abdominal visceral fat composition and metabolism can help predict the prognosis of DLBCL patients. The results showed that females with certain fat composition and metabolism characteristics had worse progression-free survival, while no significant differences were found in males with DLBCL.

EUROPEAN JOURNAL OF RADIOLOGY (2024)

Article Radiology, Nuclear Medicine & Medical Imaging

Preoperative CT radiomics of esophageal squamous cell carcinoma and lymph node to predict nodal disease with a high diagnostic capability

Yu-ping Wu, Lan Wu, Jing Ou, Jin-ming Cao, Mao-yong Fu, Tian-wu Chen, Erika Ouchi, Jiani Hu

Summary: This study aimed to develop CT radiomics models to preoperatively identify lymph node (LN) status in resectable esophageal squamous cell carcinoma (ESCC) patients. The results showed that the combined model, integrating ESCC and LN radiomics features with clinical features, had the highest predictive ability among the three models. The combined model's predictive ability was validated in both the test and external validation cohorts.

EUROPEAN JOURNAL OF RADIOLOGY (2024)