Megan H. Trager
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View article: 0410 Harnessing artificial intelligence to improve diagnostic precision of CTCL
0410 Harnessing artificial intelligence to improve diagnostic precision of CTCL Open
View article: Primary cutaneous plasmacytosis in a woman with previously undiagnosed celiac disease
Primary cutaneous plasmacytosis in a woman with previously undiagnosed celiac disease Open
Cutaneous plasmacytosis has <60 cases worldwide, typically characterized by multiple asymmetric facial and truncal cutaneous nodules and plaques. We describe the case of a 68-year-old woman with erythematous plaques on the feet who had a b…
View article: The digital signature of emergent tremor in Parkinson’s disease
The digital signature of emergent tremor in Parkinson’s disease Open
Emergent tremor in Parkinson's disease (PD) can occur during sustained postures or movements that are different from action tremor. Tremor can contaminate the clinical rating of bradykinesia during finger tapping. Currently, there is no re…
View article: Extragenital lichen sclerosus et atrophicus-morphea overlap as an initial presentation of genital lichen sclerosus
Extragenital lichen sclerosus et atrophicus-morphea overlap as an initial presentation of genital lichen sclerosus Open
Lichen sclerosus et atrophicus (LSA) is a chronic inflammatory disorder, most often characterized by atrophic skin plaques located on female genitalia. Infrequently, LSA may present extragenitally; however, much is unknown about the tempor…
View article: Experiences of patients with cutaneous manifestations of monoclonal gammopathy of undetermined significance (MGUS): Insights from the first disease‐specific support group
Experiences of patients with cutaneous manifestations of monoclonal gammopathy of undetermined significance (MGUS): Insights from the first disease‐specific support group Open
Monoclonal gammopathy of undetermined significance (MGUS) is a clonal plasma cell disorder characterized by monoclonal immunoglobulins or an abnormal ratio of free immunoglobulin light chains in blood or urine. Affecting 5% of adults aged …
View article: Plasma cell and neutrophil enriched neovascularization with granulomatous lymphangitis in POEMS syndrome
Plasma cell and neutrophil enriched neovascularization with granulomatous lymphangitis in POEMS syndrome Open
View article: Exploring Cutaneous Lymphoproliferative Disorders in the Wake of COVID-19 Vaccination
Exploring Cutaneous Lymphoproliferative Disorders in the Wake of COVID-19 Vaccination Open
Background Individual reports have described lymphoproliferative disorders (LPDs) and cutaneous lymphomas emerging after administration of the COVID-19 vaccine; however, the relationship between reactions and vaccine types has not yet been…
View article: A unique case of paraneoplastic lymphomatoid Papuloerythroderma of Ofuji with atypical clinical features
A unique case of paraneoplastic lymphomatoid Papuloerythroderma of Ofuji with atypical clinical features Open
View article: The digital signature of emergent tremor in Parkinson's disease
The digital signature of emergent tremor in Parkinson's disease Open
View article: Assessing ChatGPT responses to common patient queries regarding basal cell carcinoma
Assessing ChatGPT responses to common patient queries regarding basal cell carcinoma Open
View article: Alone on a collagen island: Unique findings of osseous sclerotic bodies in nephrogenic systemic fibrosis
Alone on a collagen island: Unique findings of osseous sclerotic bodies in nephrogenic systemic fibrosis Open
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Purpose:Biomarkers for disease-specific survival (DSS) in early-stage melanoma are needed to select patients for adjuvant immunotherapy and accelerate clinical trial design. We present a pathology-based computational method using a deep ne…
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Purpose:Biomarkers for disease-specific survival (DSS) in early-stage melanoma are needed to select patients for adjuvant immunotherapy and accelerate clinical trial design. We present a pathology-based computational method using a deep ne…
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death Open
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
View article: Bradykinesia and Its Progression Are Related to Interhemispheric Beta Coherence
Bradykinesia and Its Progression Are Related to Interhemispheric Beta Coherence Open
Objective Bradykinesia is the major cardinal motor sign of Parkinson disease (PD), but its neural underpinnings are unclear. The goal of this study was to examine whether changes in bradykinesia following long‐term subthalamic nucleus (STN…
View article: Long-Term Subcortical Electrophysiological Recordings Link Heightened Interhemispheric Subthalamic Beta Synchrony to Progression of Bradykinesia in Parkinson’s Disease
Long-Term Subcortical Electrophysiological Recordings Link Heightened Interhemispheric Subthalamic Beta Synchrony to Progression of Bradykinesia in Parkinson’s Disease Open
Bradykinesia is the major cardinal motor sign of Parkinson’s disease (PD), but its neural underpinnings are unclear. Although impairment in PD has been linked to heightened synchrony within the beta band (13-30 Hz) in the subthalamic nucle…
View article: Quantitative Digitography Measures Motor Symptoms and Disease Progression in Parkinson’s Disease
Quantitative Digitography Measures Motor Symptoms and Disease Progression in Parkinson’s Disease Open
Background: Assessment of motor signs in Parkinson’s disease (PD) requires an in-person examination. However, 50% of people with PD do not have access to a neurologist. Wearable sensors can provide remote measures of some motor signs but r…
View article: Patient Satisfaction of General Dermatologists: A Quantitative and Qualitative Analysis of 38,008 Online Reviews by Gender and Years of Experience
Patient Satisfaction of General Dermatologists: A Quantitative and Qualitative Analysis of 38,008 Online Reviews by Gender and Years of Experience Open
View article: Quantitative Digitography Solves the Remote Measurement Problem in Parkinson’s disease
Quantitative Digitography Solves the Remote Measurement Problem in Parkinson’s disease Open
Background Assessment of motor signs in Parkinson’s disease (PD) has required an in-person examination. However, 50% of people with PD do not have access to a neurologist. Wearable sensors can provide remote measures of some motor signs bu…