Characteristics and complications of anogenital infantile hemangiomas: A multicenter retrospective analysis.

BACKGROUND: Infantile hemangiomas (IHs) of the anogenital region remain poorly characterized. OBJECTIVE: To examine the distribution, ulceration rate, and associated congenital anomalies of anogenital IHs. METHODS: Retrospective study at 8 tertiary referral centers. RESULTS: A total of 435 infants with an IH of the anogenital region were enrolled (of which, 319 [73%] were girls). Congenital anomalies were present in 6.4% (n = 28) of infants with an anogenital IH. Segmental or partial segmental anogenital IHs ulcerated in 72% (n = 99 of 138) of infants, whereas 45% (n = 133 of 297) of focal anogenital IHs experienced ulceration (P < .001). In a multivariable logistic regression analysis, segmental or partial segmental morphology (adjusted odds ratio [aOR], 2.70; 95% CI, 1.60-4.64), mixed type (aOR, 3.44; 95% CI, 2.01-6.07), and perianal (aOR, 3.01; 95% CI, 1.53-6.12) and buttocks location (aOR, 2.08; 95% CI, 1.17-3.76) had increased odds of ulceration. Segmental or partial segmental IHs of the genitalia were confined to distinct anatomic territories and were predominantly distributed unilaterally, with a linear demarcation at the perineal raphe. LIMITATIONS: Possible selection bias, given recruitment at tertiary referral centers. CONCLUSION: This study improves our understanding of high-risk features of anogenital IHs and demonstrates that genital segmental or partial segmental IHs develop within distinct anatomic territories.

Histologic Screening of Malignant Melanoma, Spitz, Dermal and Junctional Melanocytic Nevi Using a Deep Learning Model.

OBJECTIVE: The integration of an artificial intelligence tool into pathologists' workflow may lead to a more accurate and timely diagnosis of melanocytic lesions, directly patient care. The objective of this study was to create and evaluate the performance of such a model in achieving clinical-grade diagnoses of Spitz nevi, dermal and junctional melanocytic nevi, and melanomas. METHODS: We created a beginner-level training environment by teaching our algorithm to perform cytologic inferences on 136,216 manually annotated tiles of hematoxylin and eosin-stained slides consisting of unequivocal melanocytic nevi, Spitz nevi, and invasive melanoma cases. We sequentially trained and tested our network to provide a final diagnosis-classification on 39 cases in total. Positive predictive value (precision) and sensitivity (recall) were used to measure our performance. RESULTS: The tile-classification algorithm predicted the 136,216 irrelevant, melanoma, melanocytic nevi, and Spitz nevi tiles at sensitivities of 96%, 93%, 94% and 73%, respectively. The final trained model was able to correctly classify and predict the correct diagnosis in 85.7% of unseen cases (n = 28), reporting at or near screening-level performances for precision and recall of melanoma (76.2%, 100.0%), melanocytic nevi (100.0%, 75.0%), and Spitz nevi (100.0%, 75.0%). CONCLUSIONS: Our pilot study proves that convolutional networks trained on cellular morphology to classify melanocytic proliferations can be used as a powerful tool to assist pathologists in screening for melanoma versus other benign lesions.

Prognostic value of coronary atherosclerosis progression evaluated by coronary CT angiography in patients with stable angina.

OBJECTIVES: To investigate the progression of coronary atherosclerosis burden by coronary CT angiography (CCTA) and to demonstrate its association with the incidence of major adverse cardiac events (MACE). METHODS: We retrospectively studied patients with stable angina who had undergone repeat CCTA due to recurrent or worsening symptoms. Lipid-rich, fibrous, calcified and total plaque burden as well as coronary diameter stenosis were quantitatively analysed. The incidence of MACE during follow-up was determined. RESULTS: The final cohort consisted of 268 patients (mean age 52.9 ± 9.8 years, 71 % male) with a mean follow-up period of 4.6 ± 0.9 years. Patients with lipid-rich, fibrous, calcified and total plaque burden (%) progression, as well as coronary diameter stenosis (%) progression had a significantly higher incidence of MACE than those without (all p < 0.05). The progression of lipid-rich plaque (HR = 1.601, p = 0.021), total plaque burden (HR = 2.979, p = 0.043) and coronary diameter stenosis (HR = 4.327, p <0.001) were independent predictors of MACE (all p < 0.05). CONCLUSIONS: Patients presenting with recurrent or worsening symptoms associated with coronary artery disease who have coronary atherosclerosis progression on CCTA are at an increased risk of future MACE. KEY POINTS: • Repeat CCTA can provide information regarding the progression of coronary atherosclerosis. • Coronary atherosclerosis progression at CCTA is independently associated with MACE. • CCTA findings could serve as incremental predictors of MACE.