Lauren Averill

Dr. Lauren Averill

Nemours Children's Healthcare System

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2015 in Seminars in Ultrasound, CT and MRI
Verified
Journal Article
Closed access
LALauren Averill
Lauren Averill
VKVinay V.R. Kandula
Vinay V.R. Kandula
YAYakup Akyol
Yakup Akyol
MEMonica Epelman
Monica Epelman

13 July 2022 in Cancers
Verified
Journal Article
Open access
PDF file
RNRahul M. Nikam
Rahul M. Nikam
XYXuyi Yue
Xuyi Yue
GKGurcharanjeet Kaur
Gurcharanjeet Kaur
VKVinay Kandula
Vinay Kandula
AKAbdulhafeez Khair
Abdulhafeez Khair
SLSigrid A Langhans
Sigrid A Langhans
Central nervous system tumors are the most common pediatric solid tumors; they are also the most lethal. Unlike adults, childhood brain tumors are mostly primary in origin and differ in type, location and molecular signature. Tumor characteristics (incidence, location, and type) vary with age. Children present with a variety of symptoms, making early accurate diagnosis challenging. Neuroimaging is key in the initial diagnosis and monitoring of pediatric brain tumors. Conventional anatomic imaging approaches (computed tomography (CT) and magnetic resonance imaging (MRI)) are useful for tumor detection but have limited utility differentiating tumor types and grades. Advanced MRI techniques (diffusion-weighed imaging, diffusion tensor imaging, functional MRI, arterial spin labeling perfusion imaging, MR spectroscopy, and MR elastography) provide additional and improved structural and functional information. Combined with positron emission tomography (PET) and single-photon emission CT (SPECT), advanced techniques provide functional information on tumor metabolism and physiology through the use of radiotracer probes. Radiomics and radiogenomics offer promising insight into the prediction of tumor subtype, post-treatment response to treatment, and prognostication. In this paper, a brief review of pediatric brain cancers, by type, is provided with a comprehensive description of advanced imaging techniques including clinical applications that are currently utilized for the assessment and evaluation of pediatric brain tumors.

14 January 2017 in Pediatric Radiology
Verified
Journal Article
Closed access
PDF file
EEEric P. Eutsler
Eric P. Eutsler
DHDaniel B Horton
Daniel B Horton
MEMonica Epelman
Monica Epelman
TFTerri Finkel
Terri Finkel
LALauren Averill
Lauren Averill

30 June 2020 in Pediatric Blood & Cancer
Verified
Journal Article
Closed access
PDF file
AAAllison Aguado
Allison Aguado
SDStephen P. Dunn
Stephen P. Dunn
LALauren Averill
Lauren Averill
KCKudakwashe R. Chikwava
Kudakwashe R. Chikwava
RGRenee Gresh
Renee Gresh
HKHoward M. Katzenstein
Howard M. Katzenstein

7 September 2021 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
MTMirkamal Tolend
Mirkamal Tolend
ADAndrea S. Doria
Andrea S. Doria
AMArthur Meyers
Arthur Meyers
TLTore A. Larheim
Tore A. Larheim
SAShelly Abramowicz
Shelly Abramowicz
CKChristian J. Kellenberger
Christian J. Kellenberger
Contrast-enhanced magnetic resonance imaging (MRI) remains the most comprehensive modality to assess juvenile idiopathic arthritis (JIA)-related inflammation and osteochondral damage in the temporomandibular joints (TMJ). This study tested the reliability of a new JIA MRI scoring system for TMJ (JAMRIS-TMJ) and the impact of variations in calibration and reader specialty. Thirty-one MRI exams of bilateral TMJs were scored independently using the JAMRIS-TMJ by 20 readers consisting of radiologists and non-radiologist clinicians in three reading groups, with or without a calibrating atlas and/or tutorial. The inter-reader reliability in the multidisciplinary cohort assessed by the generalizability coefficient was 0.61–0.67 for the inflammatory and 0.66–0.74 for the damage domain. The atlas and tutorial did not improve agreement within radiologists, but improved the agreement between radiologist and non-radiologist groups. Agreements between different calibration levels were 0.02 to 0.08 lower by the generalizability coefficient compared to agreement within calibration levels; agreement between specialty groups was 0.04 to 0.10 lower than within specialty groups. Averaging two radiologists raised the reliability above 0.8 for both domains. Therefore, the reliability of JAMRIS-TMJ was moderate-to-good depending on the presence of specialty and calibration differences. The atlas and tutorial are necessary to improve reliability when the reader cohort consists of multiple specialties.

1 December 2013 in Seminars in Ultrasound, CT and MRI
Verified
Journal Article
Closed access
LALauren Averill
Lauren Averill
GAGunsel Acikgoz
Gunsel Acikgoz
RMRobin E. Miller
Robin E. Miller
VKVinay V.R. Kandula
Vinay V.R. Kandula
MEMonica Epelman
Monica Epelman