An 8-year-old spayed female, mixed dog presented multiple, bloody exudative skin lesions on the bilateral flank which spread 1 week after mastectomy for treatment of mammary gland tumor (MGT). Multiple, ill-marginated, irregular, and heterogeneously thickened cutaneous and subcutaneous lesions and enlarged lymph nodes were identified in ultrasound and computed tomography. Histopathological examination confirmed adenocarcinoma with lymphatic invasion presumed to be metastatic MGT. Clinical signs improved after chemotherapy but died after 1 month. This study suggests that cutaneous metastasis be considered for differential diagnosis of cutaneous lesions in dogs with a history of MGT, although skin metastasis from MGT is rare.

Optimal magnetic resonance imaging (MRI) quality and shorter scan time are challenging to achieve in veterinary practices. Recently, deep learning‐based reconstruction (DLR) has been proposed for ideal image quality. We hypothesized that DLR‐based MRI will improve brain imaging quality and reduce scan time. This prospective, methods comparison study compared the MR image denoising performances of DLR and conventional methods, with the aim of reducing scan time and improving canine brain image quality. Transverse T2‐weighted and fluid‐attenuated inversion recovery (FLAIR) sequences of the brain were performed in 12 clinically healthy beagle dogs. Different numbers of excitations (NEX) were used to obtain the image groups NEX4, NEX2, and NEX1. DLR was applied to NEX2 and NEX1 to obtain NEX2DL and NEX1DL. The scan times were recorded, signal‐to‐noise ratio (SNR) and contrast‐to‐noise ratio (CNR) were calculated for quantitative analysis. Five blinded veterinarians assessed the overall quality, contrast, and perceived SNR on four‐point Likert scales. Quantitative and qualitative values were compared among the five groups. Compared with NEX4, NEX2 and NEX1 reduced scan time by 50% and 75%, respectively. The mean SNR and CNR of NEX2DL and NEX1DL were significantly superior to those of NEX4, NEX2, and NEX1 (P < 0.05). In all image quality indices, DLR‐applied images for both T2‐weighted and FLAIR images were significantly higher than NEX4 and NEX2DL had significantly better quality than NEX1DL for FLAIR (P < 0.05). Findings indicated that DLR reduced scan time and improved image quality compared with conventional MRI images in a sample of clinically healthy beagles.