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Tyler Richards

University of Utah

ORCID: 0000-0001-7078-7353

Publishes on Pelvic and Acetabular Injuries, Medical Imaging and Analysis, Spinal Fractures and Fixation Techniques. 50 papers and 271 citations.

50Publications
271Total Citations

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Top publicationsby citations

Visceral Adiposity Predicts Severity of Acute Pancreatitis
Ashwinee Natu, Tyler Stevens, Lorna Kang et al.|Pancreas|2017
Cited by 60

OBJECTIVES: The aim of this study was to determine the association of visceral adiposity with severe outcomes in acute pancreatitis (AP). METHODS: This retrospective study included consecutive patients with AP admitted to a tertiary care hospital between January 2010 and January 2015 who underwent a computed tomography scan. The visceral adipose tissue (VAT) volume was estimated using the method of Linder and colleagues. Multivariable logistic regression analysis was conducted to assess VAT as a predictor of severe AP compared with other validated predictors of severity. RESULTS: Five hundred and seventy four patients were admitted during the study period, of which 252 had a computed tomography scan available. Patients with severe AP had a larger VAT area compared with those with mild or moderate AP (mean: 184.9 cm vs 79.9 cm, P = 0.006). Patients who developed multisystem organ failure or had acute necrotic collections had a larger VAT area than those who did not (150.6 cm vs 91.0 cm, P = 0.004 and 174.0 cm vs 91.9 cm, P = 0.003, respectively). Visceral adipose tissue area demonstrated superior discrimination of severe AP compared with other severity predictors. CONCLUSIONS: Increased VAT area is a strong predictor of severe pancreatitis, necrosis, and multisystem organ failure.

Prevalence of Subdural Collections in Children with Macrocrania
Mary V. Greiner, Tyler Richards, Marguerite M. Caré et al.|American Journal of Neuroradiology|2013
Cited by 58Open Access

BACKGROUND AND PURPOSE: The relationship between enlarged subarachnoid spaces and subdural collections is poorly understood and creates challenges for clinicians investigating the etiology of subdural collections. The purpose of this study was to determine the prevalence of subdural collections on cross sectional imaging in children with macrocephaly correlating with subarachnoid space enlargement. MATERIALS AND METHODS: The radiology information system of a large pediatric medical center was reviewed for "macrocrania" and "macrocephaly" on reports of cranial MRI/CT examinations in children <24 months of age, over a 24-month period. Head circumference was obtained from the clinical record. Studies were reviewed blindly for subdural collection presence and subarachnoid space size. Children with prior cranial surgery, parenchymal abnormalities, hydrocephalus, or conditions predisposing to parenchymal volume loss were excluded. Chart review was performed on those with subdural collections. RESULTS: Imaging from 177 children with enlarged head circumference was reviewed. Nine were excluded, for a final cohort of 168 subjects (108 with enlarged subarachnoid space). Subdural collections were identified in 6 (3.6%), all with enlarged subarachnoid space (6/108, 5.6%). In 4, subdural collections were small, homogeneous, and nonhemorrhagic. In 2, the collections were complex (septations or hemorrhage). Two children were reported as victims of child abuse (both with complex collections). No definitive etiology was established in the other cases. CONCLUSIONS: The prevalence of subdural collections in imaged children with macrocrania was 3.6%, all occurring in children with enlarged subarachnoid space. Our results suggest that enlarged subarachnoid space can be associated with some subdural collections in this cohort. Despite this, we believe that unexpected subdural collections in children should receive close clinical evaluation for underlying causes, including abusive head trauma.

The RSNA Cervical Spine Fracture CT Dataset
Hui Ming Lin, Errol Colak, Tyler Richards et al.|Radiology Artificial Intelligence|2023
Cited by 26Open Access

“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. ©RSNA, 2023

Making Classifying Selectors Work for Foam Elimination in the Activated‐Sludge Process
Denny Parker, Steve Geary, Garr Jones et al.|Water Environment Research|2003
Cited by 15

Classifying selectors are used to control the population of foam-causing organisms in activated-sludge plants to prevent the development of nuisance foams. The term, classifying selector, refers to the physical mechanism by which these organisms are selected against; foam-causing organisms are enriched into the solids in the foam and their rapid removal controls their population at low levels in the mixed liquor. Foam-causing organisms are wasted "first" rather than accumulating on the surface of tanks and thereby being wasted "last", which is typical of the process. This concept originated in South Africa, where pilot studies showed that placement of a flotation tank for foam removal prior to secondary clarifiers would eliminate foam-causing organisms. It was later simplified in the United States by using the aeration in aeration tanks or aerated channels coupled with simple baffling and adjustable weirs to make continuous separation of nuisance organisms from the mixed liquor.