RESUMEN
AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection bias, lack of standardization, and lend themselves to development of algorithms that can only be used by skilled clinicians. The SLICE-3D ("Skin Lesion Image Crops Extracted from 3D TBP") dataset described here addresses those concerns and contains images of over 400,000 distinct skin lesions from seven dermatologic centers from around the world. De-identified images were systematically extracted from sensitive 3D Total Body Photographs and are comparable in optical resolution to smartphone images. Algorithms trained on lower quality images could improve clinical workflows and detect skin cancers earlier if deployed in primary care or non-clinical settings, where photos are captured by non-expert physicians or patients. Such a tool could prompt individuals to visit a specialized dermatologist. This dataset circumvents many inherent limitations of prior datasets and may be used to build upon previous applications of skin imaging for cancer detection.
Asunto(s)
Neoplasias Cutáneas , Neoplasias Cutáneas/diagnóstico por imagen , Humanos , Algoritmos , Imagenología Tridimensional , Piel/diagnóstico por imagenRESUMEN
A young woman presented with a syncopal episode. As part of the work-up for her presentation, an MRI of the brain was performed which showed a small acute stroke. She subsequently had a further embolic-appearing stroke 9 months later. The initial investigations for the work-up of her strokes did not reveal any major abnormalities, including an unremarkable ECG and transthoracic echocardiogram (TTE). A transoesophageal echocardiogram (TOE) showed aneurysmal apical and mid-anteroseptal akinesis with mildly reduced left ventricular ejection fraction. Anomalous left coronary artery from the pulmonary artery (ALCAPA) was confirmed on coronary angiogram. Although ALCAPA presenting in adulthood is rare, our case highlights the value of TOE over TTE in the work-up of cryptogenic strokes, particularly in young patients with embolic strokes of undetermined source.