Evaluation of the Toxicity and Outcomes of the Combination of Midostaurin and CLAG-M in Patients With FLT3-Mutated Acute Myeloid Leukemia (AML): A Multicenter Retrospective Analysis.

Background: Addition of midostaurin to standard "7+3" (cytarabine and anthracycline) significantly prolongs overall and event-free survival. At University of Washington/Fred Hutchinson Cancer Center (UW/FHCC), the standard regimen for newly diagnosed (ND) and relapsed/refractory (R/R) AML is cladribine, high-dose cytarabine, GCSF, and mitoxantrone (CLAG-M); midostaurin is added if FLT3-mutated. There is limited data on the use of FLT3-inhibitors with high-dose cytarabine regimens in AML.

Atypical free sialic acid storage disorder associated with tissue specific mosaicism of SLC17A5.

Free sialic acid storage disorder (FSASD) is a rare autosomal recessive lysosomal storage disease caused by pathogenic SLC17A5 variants with variable disease severity. We performed a multidisciplinary evaluation of an adolescent female with suspected lysosomal storage disease and conducted comprehensive studies to uncover the molecular etiology. The proband exhibited intellectual disability, a storage disease gestalt, and mildly elevated urine free sialic acid levels.

Three-dimensional single-cell transcriptome imaging of thick tissues.

Multiplexed error-robust fluorescence in situ hybridization (MERFISH) allows genome-scale imaging of RNAs in individual cells in intact tissues. To date, MERFISH has been applied to image thin-tissue samples of ~10 µm thickness. Here, we present a thick-tissue three-dimensional (3D) MERFISH imaging method, which uses confocal microscopy for optical sectioning, deep learning for increasing imaging speed and quality, as well as sample preparation and imaging protocol optimized for thick samples.

Baseline dermoscopic patterns predict long-term changes in nevus diameter and in dermoscopic features.

Background: When monitoring melanocytic neoplasms, the pattern of change may distinguish nevi from melanoma. Anticipating the growth dynamics of nevi based on their dermoscopic pattern is important to make this distinction.

Objective: The primary aim was to examine the association between nevus dermoscopic pattern at baseline and diameter change during long-term monitoring.

Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge.

Background: While the high accuracy of reported AI tools for melanoma detection is promising, the lack of holistic consideration of the patient is often criticized. Along with medical history, a dermatologist would also consider intra-patient nevi patterns, such that nevi that are different from others on a given patient are treated with suspicion.

Objective: To evaluate whether patient-contextual lesion-images improves diagnostic accuracy for melanoma in a dermoscopic image-based AI competition and a human reader study.