Publications by authors named "Elizabeth A Quigley"

Article Synopsis
  • The study validated the accuracy of an open-source AI algorithm for diagnosing melanoma, assessing its sensitivity and specificity based on skin lesion images from 435 participants.
  • The AI showed a sensitivity of 96.8% at a threshold of 95%, while dermatologists' accuracy in assessing melanoma risk improved after reviewing the AI's findings.
  • The results indicate the AI's potential to enhance decision-making in dermatology, though further larger trials are necessary to integrate it into clinical practice.
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Immune checkpoint inhibitors (ICI) target the PD-1/PD-L1 and CTLA-4 pathways and allows the immune system to deliver antitumor effects. However, it is also associated with well-documented immune-related cutaneous adverse events (ircAEs), affecting up to 70-90% of patients on ICI. In this study, we describe the characteristics of and patient outcomes with ICI-associated steroid-refractory or steroid-dependent ircAEs treated with dupilumab.

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Background: Dermoscopy is commonly used for the evaluation of pigmented lesions, but agreement between experts for identification of dermoscopic structures is known to be relatively poor. Expert labeling of medical data is a bottleneck in the development of machine learning (ML) tools, and crowdsourcing has been demonstrated as a cost- and time-efficient method for the annotation of medical images.

Objective: The aim of this study is to demonstrate that crowdsourcing can be used to label basic dermoscopic structures from images of pigmented lesions with similar reliability to a group of experts.

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Monoclonal antibodies (mAb) targeting immune checkpoint pathways such as cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed death 1 (PD-1) may confer durable disease control in several malignancies. In some patients, immune checkpoint mAbs cause cutaneous immune-related adverse events. Although the most commonly reported cutaneous toxicities are mild, a subset may persist despite therapy and can lead to severe or life-threatening toxicity.

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Importance: Photographs are invaluable dermatologic diagnostic, management, research, teaching, and documentation tools. Digital Imaging and Communications in Medicine (DICOM) standards exist for many types of digital medical images, but there are no DICOM standards for camera-acquired dermatologic images to date.

Objective: To identify and describe existing or proposed technology and technique standards for camera-acquired dermatologic images in the scientific literature.

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Background: Melanoma incidence and mortality is a growing concern. Better recognition and management of skin cancer by primary care providers (PCPs) could help, but studies suggest they would benefit from additional education. Effective educational programs are needed.

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Surgical excision is the treatment of choice for primary melanomas and radiation therapy is the accepted alternative for the subset of lesions not amenable to surgery. With the recent rise in melanoma incidence, especially in the elderly, there are a growing number of cases that are neither amenable to surgery nor radiation therapy. In this article, we review pharmacotherapeutic approaches to microinvasive melanoma (invasive radial growth phase melanoma) that might be considered in such circumstances.

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Article Synopsis
  • Dermoscopy significantly aids in recognizing skin lesions and making management decisions, although time constraints often limit its use in clinical settings.
  • In a study involving experienced dermatologists and residents, participants displayed improved accuracy in diagnosing malignant lesions when given more time and context, especially benefiting non-experts.
  • The findings suggest that dermoscopy can be an efficient tool for clinical decision-making, enhancing diagnostic accuracy without being overly time-consuming.
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Web-based learning in medical education is rapidly growing. However, there are few firsthand accounts on the rationale for and development of web-based learning programs. We present the experience of clinical educators who developed an interactive online skin cancer detection and management course in a time-efficient and cost-efficient manner without any prior skills in computer programming or technical construction of web-based learning programs.

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Background: Early detection of melanoma may provide an opportunity to positively impact melanoma mortality. Numerous skin cancer educational interventions have been developed for primary care physicians (PCPs) to improve diagnostic accuracy. Standardized training is also a prerequisite for formal testing of melanoma screening in the primary care setting.

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