data analysis facilitation suite (dafs (Voronoi Health Analytics)
90
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Voronoi Health Analytics
data analysis facilitation suite (dafs
Data Analysis Facilitation Suite (Dafs, supplied by Voronoi Health Analytics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/data+analysis/data+analysis+facilitation+suite++dafs+/nct06069297-21-87-93
Average 90 stars, based on 1 article reviews
Data Analysis Facilitation Suite (Dafs, supplied by Voronoi Health Analytics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/data+analysis/data+analysis+facilitation+suite++dafs+/nct06069297-21-87-93
Average 90 stars, based on 1 article reviews
data analysis facilitation suite (dafs - by Bioz Stars,
2026-11
90/100 stars
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Computed Tomography:Article Title: Comparison of volumetric and single-slice computed tomography body composition metrics for colorectal cancer survival. Article Snippet: Body composition analysis was performed via automated processing of both the mid-L3 and volumetric body composition metrics from clinical CT images using Article Title: The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography Article Snippet: An automated deep learning-based software (Data Analysis Facilitation Suite [DAFS] version 3, Article Title: Multimodal Prehabilitation in Localized Pancreatic Cancer Patients Undergoing Surgery: a Randomized Controlled Trial Article Snippet: * Body composition measurements assessed using two methods: * multi-frequency bioelectrical impedance analysis (BIA) providing data on extracellular and intracellular water as % of total body water, fat mass (FM) as % of body weight, skeletal muscle mass (SK) as % of fat-free mass (FFM) and phase angle (PA°), intramuscular fat mass (IMAT), basal metabolic rate (BMR) energy expenditure and hypotalamic- pituitary- adrenal axis index (HPA); * CT scan image analysis (using preoperative cancer staging and restaging chest and abdomen CT scans) performing automated imaging segmentation using Article Title: Body composition metrics as a determinant of trastuzumab deruxtecan related toxicity and response Article Snippet: These images were processed using an automated segmentation software, the Article Title: Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level. Article Snippet: Body composition analysis is vital in assessing health conditions such as obesity, sarcopenia, and metabolic syndromes.. MRI provides detailed images of skeletal muscle (SM), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), but their manual segmentation is labor-intensive and limits clinical applicability.. This study validates an automated tool for MRI-based 2D body composition analysis (Data Analysis Facilitation Suite (DAFS) Express), comparing its automated measurements with expert manual segmentations using UK Biobank data. Article Title: Postoperative Sarcopenia and Association with Recurrence in Resected Early-Stage Non-Small Cell Cancer Article Snippet: DOI: 10.1097/XCS.0000000000001360 Postoperative Sarcopenia and Association with Recurrence in Resected Early-Stage NonSmall Cell Cancer Arsalan A Khan MD, Savan K Shah MD, Wara Naeem MD, Sanjib Basu PhD, Gillian C Alex MD Nicole M Geissen DO, Michael J Liptay MD, FACS, Christopher W Seder MD Department of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, Illinois Department of Medicine, Rush University Medical Center, Chicago, Illinois Drs Khan and Shah contributed equally to this work.. Disclosure Information: Nothing to disclose.. Disclosures outside the scope of this work: Dr Basu is a paid consultant to Eli Lilly and Company. Imaging:Article Title: Comparison of volumetric and single-slice computed tomography body composition metrics for colorectal cancer survival. Article Snippet: Body composition analysis was performed via automated processing of both the mid-L3 and volumetric body composition metrics from clinical CT images using Article Title: The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography Article Snippet: An automated deep learning-based software (Data Analysis Facilitation Suite [DAFS] version 3, Article Title: Multimodal Prehabilitation in Localized Pancreatic Cancer Patients Undergoing Surgery: a Randomized Controlled Trial Article Snippet: * Body composition measurements assessed using two methods: * multi-frequency bioelectrical impedance analysis (BIA) providing data on extracellular and intracellular water as % of total body water, fat mass (FM) as % of body weight, skeletal muscle mass (SK) as % of fat-free mass (FFM) and phase angle (PA°), intramuscular fat mass (IMAT), basal metabolic rate (BMR) energy expenditure and hypotalamic- pituitary- adrenal axis index (HPA); * CT scan image analysis (using preoperative cancer staging and restaging chest and abdomen CT scans) performing automated imaging segmentation using Article Title: Body composition metrics as a determinant of trastuzumab deruxtecan related toxicity and response Article Snippet: These images were processed using an automated segmentation software, the Article Title: Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level. Article Snippet: Body composition analysis is vital in assessing health conditions such as obesity, sarcopenia, and metabolic syndromes.. MRI provides detailed images of skeletal muscle (SM), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), but their manual segmentation is labor-intensive and limits clinical applicability.. This study validates an automated tool for MRI-based 2D body composition analysis (Data Analysis Facilitation Suite (DAFS) Express), comparing its automated measurements with expert manual segmentations using UK Biobank data. Article Title: Postoperative Sarcopenia and Association with Recurrence in Resected Early-Stage Non-Small Cell Cancer Article Snippet: DOI: 10.1097/XCS.0000000000001360 Postoperative Sarcopenia and Association with Recurrence in Resected Early-Stage NonSmall Cell Cancer Arsalan A Khan MD, Savan K Shah MD, Wara Naeem MD, Sanjib Basu PhD, Gillian C Alex MD Nicole M Geissen DO, Michael J Liptay MD, FACS, Christopher W Seder MD Department of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, Illinois Department of Medicine, Rush University Medical Center, Chicago, Illinois Drs Khan and Shah contributed equally to this work.. Disclosure Information: Nothing to disclose.. Disclosures outside the scope of this work: Dr Basu is a paid consultant to Eli Lilly and Company. Software:Article Title: Comparison of volumetric and single-slice computed tomography body composition metrics for colorectal cancer survival. Article Snippet: Body composition analysis was performed via automated processing of both the mid-L3 and volumetric body composition metrics from clinical CT images using Article Title: The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography Article Snippet: An automated deep learning-based software (Data Analysis Facilitation Suite [DAFS] version 3, Article Title: Multimodal Prehabilitation in Localized Pancreatic Cancer Patients Undergoing Surgery: a Randomized Controlled Trial Article Snippet: * Body composition measurements assessed using two methods: * multi-frequency bioelectrical impedance analysis (BIA) providing data on extracellular and intracellular water as % of total body water, fat mass (FM) as % of body weight, skeletal muscle mass (SK) as % of fat-free mass (FFM) and phase angle (PA°), intramuscular fat mass (IMAT), basal metabolic rate (BMR) energy expenditure and hypotalamic- pituitary- adrenal axis index (HPA); * CT scan image analysis (using preoperative cancer staging and restaging chest and abdomen CT scans) performing automated imaging segmentation using Article Title: Body composition metrics as a determinant of trastuzumab deruxtecan related toxicity and response Article Snippet: These images were processed using an automated segmentation software, the Article Title: Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level. Article Snippet: Body composition analysis is vital in assessing health conditions such as obesity, sarcopenia, and metabolic syndromes.. MRI provides detailed images of skeletal muscle (SM), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), but their manual segmentation is labor-intensive and limits clinical applicability.. This study validates an automated tool for MRI-based 2D body composition analysis (Data Analysis Facilitation Suite (DAFS) Express), comparing its automated measurements with expert manual segmentations using UK Biobank data. Article Title: Postoperative Sarcopenia and Association with Recurrence in Resected Early-Stage Non-Small Cell Cancer Article Snippet: DOI: 10.1097/XCS.0000000000001360 Postoperative Sarcopenia and Association with Recurrence in Resected Early-Stage NonSmall Cell Cancer Arsalan A Khan MD, Savan K Shah MD, Wara Naeem MD, Sanjib Basu PhD, Gillian C Alex MD Nicole M Geissen DO, Michael J Liptay MD, FACS, Christopher W Seder MD Department of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, Illinois Department of Medicine, Rush University Medical Center, Chicago, Illinois Drs Khan and Shah contributed equally to this work.. Disclosure Information: Nothing to disclose.. Disclosures outside the scope of this work: Dr Basu is a paid consultant to Eli Lilly and Company. Magnetic Resonance Imaging:Article Title: Comparison of volumetric and single-slice computed tomography body composition metrics for colorectal cancer survival. Article Snippet: Body composition analysis was performed via automated processing of both the mid-L3 and volumetric body composition metrics from clinical CT images using Article Title: The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography Article Snippet: An automated deep learning-based software (Data Analysis Facilitation Suite [DAFS] version 3, Article Title: Multimodal Prehabilitation in Localized Pancreatic Cancer Patients Undergoing Surgery: a Randomized Controlled Trial Article Snippet: * Body composition measurements assessed using two methods: * multi-frequency bioelectrical impedance analysis (BIA) providing data on extracellular and intracellular water as % of total body water, fat mass (FM) as % of body weight, skeletal muscle mass (SK) as % of fat-free mass (FFM) and phase angle (PA°), intramuscular fat mass (IMAT), basal metabolic rate (BMR) energy expenditure and hypotalamic- pituitary- adrenal axis index (HPA); * CT scan image analysis (using preoperative cancer staging and restaging chest and abdomen CT scans) performing automated imaging segmentation using Article Title: Body composition metrics as a determinant of trastuzumab deruxtecan related toxicity and response Article Snippet: These images were processed using an automated segmentation software, the Article Title: Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level. Article Snippet: Body composition analysis is vital in assessing health conditions such as obesity, sarcopenia, and metabolic syndromes.. MRI provides detailed images of skeletal muscle (SM), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), but their manual segmentation is labor-intensive and limits clinical applicability.. This study validates an automated tool for MRI-based 2D body composition analysis (Data Analysis Facilitation Suite (DAFS) Express), comparing its automated measurements with expert manual segmentations using UK Biobank data. Article Title: Postoperative Sarcopenia and Association with Recurrence in Resected Early-Stage Non-Small Cell Cancer Article Snippet: DOI: 10.1097/XCS.0000000000001360 Postoperative Sarcopenia and Association with Recurrence in Resected Early-Stage NonSmall Cell Cancer Arsalan A Khan MD, Savan K Shah MD, Wara Naeem MD, Sanjib Basu PhD, Gillian C Alex MD Nicole M Geissen DO, Michael J Liptay MD, FACS, Christopher W Seder MD Department of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, Illinois Department of Medicine, Rush University Medical Center, Chicago, Illinois Drs Khan and Shah contributed equally to this work.. Disclosure Information: Nothing to disclose.. Disclosures outside the scope of this work: Dr Basu is a paid consultant to Eli Lilly and Company. |