A Cross-Sectional Analysis of Sharps Injuries Among Dermatologic Surgeons: A Survey of American College of Mohs Surgery Members.

BACKGROUND: There is a paucity of data on sharps injuries and bloodborne pathogen exposure among Dermatologic Surgeons. OBJECTIVE: Quantify occupational risks from sharps injuries among Mohs surgeons. Determine rate of injury, reporting, and confidence in staff's sharps handling. METHODS: A cross-sectional analysis performed using survey responses from Mohs surgeons with membership in the American College of Mohs Surgery (ACMS). RESULTS: A total of 60 ACMS members completed the survey. Overall, 56.7% reported at least 1 sharps injury within the past year, of which 14.7% resulted in a bloodborne exposure (odds of exposure: 7.5% per year). The most common type of injury was self-inflicted suture needlestick (76.5%). Forty-four-point-one percent did not report their injuries. Ninety-five percent reported access to postexposure prophylaxis at their workplace. In addition, respondents in academic and single-specialty practices were more likely to report high or moderate confidence in staff sharps handling knowledge and in injury reporting compared with respondents from multispecialty and solo practices (88% vs 54% p = .02, 76%-81% vs 27% p = .0004, respectively). CONCLUSION: Sharps injuries and under-reporting of these injuries are common among Mohs surgeons. Despite reporting of higher confidence in staff knowledge and training in academic and single-specialty practices, there was no correlation with surgeon's rate of injury.

Is artificial intelligence going to replace dermatologists?

The use of computers or machines in medicine dates back to the 1960s. Deep learning software programming is a subset of artificial intelligence (AI) based on the ability of a machine to learn from data and adaptively change. Deep learning is creating the next industrial revolution across the economy by replacing repetitive low-skilled tasks with learning algorithms. In medicine, image-based fields such as radiology, dermatology, and pathology have seen an increase in the number of studies using deep learning. However, given the current lack of standardized data sets to train these machines, it is difficult to predict if the present results eventually will be translated to real-life clinical settings.

Hyperspectral imaging in automated digital dermoscopy screening for melanoma.

OBJECTIVES: Early melanoma detection decreases morbidity and mortality. Early detection classically involves dermoscopy to identify suspicious lesions for which biopsy is indicated. Biopsy and histological examination then diagnose benign nevi, atypical nevi, or cancerous growths. With current methods, a considerable number of unnecessary biopsies are performed as only 11% of all biopsied, suspicious lesions are actually melanomas. Thus, there is a need for more advanced noninvasive diagnostics to guide the decision of whether or not to biopsy. Artificial intelligence can generate screening algorithms that transform a set of imaging biomarkers into a risk score that can be used to classify a lesion as a melanoma or a nevus by comparing the score to a classification threshold. Melanoma imaging biomarkers have been shown to be spectrally dependent in Red, Green, Blue (RGB) color channels, and hyperspectral imaging may further enhance diagnostic power. The purpose of this study was to use the same melanoma imaging biomarkers previously described, but over a wider range of wavelengths to determine if, in combination with machine learning algorithms, this could result in enhanced melanoma detection. METHODS: We used the melanoma advanced imaging dermatoscope (mAID) to image pigmented lesions assessed by dermatologists as requiring a biopsy. The mAID is a 21-wavelength imaging device in the 350-950 nm range. We then generated imaging biomarkers from these hyperspectral dermoscopy images, and, with the help of artificial intelligence algorithms, generated a melanoma Q-score for each lesion (0 = nevus, 1 = melanoma). The Q-score was then compared to the histopathologic diagnosis. RESULTS: The overall sensitivity and specificity of hyperspectral dermoscopy in detecting melanoma when evaluated in a set of lesions selected by dermatologists as requiring biopsy was 100% and 36%, respectively. CONCLUSION: With widespread application, and if validated in larger clinical trials, this non-invasive methodology could decrease unnecessary biopsies and potentially increase life-saving early detection events. Lasers Surg. Med. 51:214-222, 2019. © 2019 The Authors. Lasers in Surgery and Medicine Published by Wiley Periodicals, Inc.

Optical coherence tomography angiography of normal skin and inflammatory dermatologic conditions.

BACKGROUND: In clinical dermatology, the identification of subsurface vascular and structural features known to be associated with numerous cutaneous pathologies remains challenging without the use of invasive diagnostic tools. OBJECTIVE: To present an advanced optical coherence tomography angiography (OCTA) method to directly visualize capillary-level vascular and structural features within skin in vivo. METHODS: An advanced OCTA system with a 1310 nm wavelength was used to image the microvascular and structural features of various skin conditions. Subjects were enrolled and OCTA imaging was performed with a field of view of approximately 10 × 10 mm. Skin blood flow was identified using an optical microangiography (OMAG) algorithm. Depth-resolved microvascular networks and structural features were derived from segmented volume scans, representing tissue slabs of 0-132, 132-330, and 330-924 µm, measured from the surface of the skin. RESULTS: Subjects with both healthy and pathological conditions, such as benign skin lesions, psoriasis, chronic graft-versus-host-disease (cGvHD), and scleroderma, were OCTA scanned. Our OCTA results detailed variations in vascularization and local anatomical characteristics, for example, depth-dependent vascular, and structural alterations in psoriatic skin, alongside their resolve over time; vascular density changes and distribution irregularities, together with corresponding structural depositions in the skin of cGvHD patients; and vascular abnormalities in the nail folds of a patient with scleroderma. CONCLUSION: OCTA can image capillary blood flow and structural features within skin in vivo, which has the potential to provide new insights into the pathophysiology, as well as dynamic changes of skin diseases, valuable for diagnoses, and non-invasive monitoring of disease progression and treatment. Lasers Surg. Med. 50:183-193, 2018. © 2018 Wiley Periodicals, Inc.

Invasive Trichophyton rubrum mimicking blastomycosis in a patient with solid organ transplant.

We present a case of tissue invasive Trichophyton rubrum (T. rubrum) histologically mimicking blastomycosis in a patient with kidney transplant on chronic immunosuppression. Invasive dermatophyte infections are rare, and present a diagnostic challenge to the dermatopathologist due to atypical clinical and histopathological presentations.

Genome sequencing of idiopathic pulmonary fibrosis in conjunction with a medical school human anatomy course.

Even in cases where there is no obvious family history of disease, genome sequencing may contribute to clinical diagnosis and management. Clinical application of the genome has not yet become routine, however, in part because physicians are still learning how best to utilize such information. As an educational research exercise performed in conjunction with our medical school human anatomy course, we explored the potential utility of determining the whole genome sequence of a patient who had died following a clinical diagnosis of idiopathic pulmonary fibrosis (IPF). Medical students performed dissection and whole genome sequencing of the cadaver. Gross and microscopic findings were more consistent with the fibrosing variant of nonspecific interstitial pneumonia (NSIP), as opposed to IPF per se. Variants in genes causing Mendelian disorders predisposing to IPF were not detected. However, whole genome sequencing identified several common variants associated with IPF, including a single nucleotide polymorphism (SNP), rs35705950, located in the promoter region of the gene encoding mucin glycoprotein MUC5B. The MUC5B promoter polymorphism was recently found to markedly elevate risk for IPF, though a particular association with NSIP has not been previously reported, nor has its contribution to disease risk previously been evaluated in the genome-wide context of all genetic variants. We did not identify additional predicted functional variants in a region of linkage disequilibrium (LD) adjacent to MUC5B, nor did we discover other likely risk-contributing variants elsewhere in the genome. Whole genome sequencing thus corroborates the association of rs35705950 with MUC5B dysregulation and interstitial lung disease. This novel exercise additionally served a unique mission in bridging clinical and basic science education.