OBJECTIVES: Accurate breast lesion surface localization can guarantee accurate biopsy and local treatment. But there is no guideline to regular equipment and methods for the localization of breast lesions. The conventional non-invasive localization method is marker-based localization. The advantages of this method are simple and efficient. The disadvantages are that markers disappear easily under coupling agents; the positioning length of markers cannot last long on skin; and healthcare associated infection due to many patients using the same marker pen is potentially unavoidable. Breast lesion sticker (called sticker for short) is a new-type localization medical instrument in 2020. Our study aims to explore the clinical value of a new lesion stickers in breast lesion surface localization via comparison of the sticker and marker pen localization methods. METHODS: This was a prospective cohort study. It was conducted in 67 patients who needed breast lesion surface localization before biopsy. The patients were randomly assigned into 2 groups. One group of patients used marker pen to mark breast lesion surface location by ultrasonography. The other group of patients used stickers. Patients labeled with markers on skin were swabbed agents before marking. Then the markers were checked by ultrasound scan. If the surface positions of breast lesion were not correct, the above procedure was repeated. In the sticker group, the stickers were released synchronously after the lesions were detected by ultrasound scan. Then locations were checked via scanning hole. If the surface positions of breast lesion were not correct, the above procedure was repeated. The accuracy of positioning, the length of positioning time and satisfaction of patients between the 2 groups were compared. The length of positioning time was calculated from the time when ultrasound detected the lesion to the time when the surface position of breast lesion was confirmed. The total score of patients' satisfaction was 5 points according to Service Quality Evaluation of SERVQUAL Scale, including sonographers' service attitude and their technical proficiency, other medical staffs' service attitude and their technical proficiency, hospital service procedures, positioning comfort, and positioning effects. RESULTS: All 67 patients were females, aged 18-66 (39.73±13.10). There were 35 patients in the marker pen group and 32 patients in the sticker group. The time length of group used marker pen to localization was 22-88 (52.20±2.90) s, and the sticker group was 3-15 (9.22±0.58) s in length. The length of positioning time for the stickers was significantly shorter than that of the marker (P<0.01). Both methods were accurate in the surface localization of lesions before operation. The total scores of patients' satisfaction was 4-5 (4.92±0.02) in the stickers group, and 1-5 (3.35±0.10) in the marker pen group. The patients' satisfaction scores with the sticker were significantly higher than those with the marker pen (P<0.01). The length of positioning time and patients' satisfication scores for sonographer with 20 years' working experience were shorter and higher than those of sonographer with 10 years' working experience, respectively (both P<0.05). CONCLUSIONS The new breast lesion positioning stickers have more advantages than the marker pen in localization efficiency. It could reduce the workload of medical workers and increase patients' satisfaction to some extent. The stickers can be used not only in the breast lesions surface localization, but also in the skin location of pleural effusion and ascites, the skin location of surface masses, the skin location of thyroid nodule, and many other clinical marker areas, to further expand the scope of clinical application and value of the stickers.
Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; Female ; Humans ; Male ; Prospective Studies ; Skin

The skin is the largest organ of the human body, and many visceral diseases will be directly reflected on the skin, so it is of great clinical significance to accurately segment the skin lesion images. To address the characteristics of complex color, blurred boundaries, and uneven scale information, a skin lesion image segmentation method based on dense atrous spatial pyramid pooling (DenseASPP) and attention mechanism is proposed. The method is based on the U-shaped network (U-Net). Firstly, a new encoder is redesigned to replace the ordinary convolutional stacking with a large number of residual connections, which can effectively retain key features even after expanding the network depth. Secondly, channel attention is fused with spatial attention, and residual connections are added so that the network can adaptively learn channel and spatial features of images. Finally, the DenseASPP module is introduced and redesigned to expand the perceptual field size and obtain multi-scale feature information. The algorithm proposed in this paper has obtained satisfactory results in the official public dataset of the International Skin Imaging Collaboration (ISIC 2016). The mean Intersection over Union (mIOU), sensitivity (SE), precision (PC), accuracy (ACC), and Dice coefficient (Dice) are 0.901 8, 0.945 9, 0.948 7, 0.968 1, 0.947 3, respectively. The experimental results demonstrate that the method in this paper can improve the segmentation effect of skin lesion images, and is expected to provide an auxiliary diagnosis for professional dermatologists.
Humans ; Skin/diagnostic imaging* ; Algorithms ; Clinical Relevance ; Learning ; Image Processing, Computer-Assisted

Dermoscopy ; Diagnosis, Differential ; Face ; Humans ; Nevus, Pigmented ; Skin Neoplasms/diagnostic imaging* ; Wood

Diagnosis, Differential ; Histiocytosis, Sinus/diagnostic imaging* ; Humans ; Skin Diseases/diagnostic imaging*

Dermoscopy ; Diagnosis, Differential ; Humans ; Microscopy, Confocal ; Psoriasis/diagnostic imaging* ; Skin Neoplasms/diagnosis*

To construct an intelligent assistant diagnosis model based on the clinical images of basal cell carcinoma (BCC) and pigmented nevi in Chinese by using the advanced convolutional neural network (CNN).
 Methods: Based on the Xiangya Medical Big Data Platform, we constructed a large-scale clinical image dataset of skin diseases according to Chinese ethnicity and the Xiangya Skin Disease Dataset. We evaluated the performance of 5 mainstream CNN models (ResNet50, InceptionV3, InceptionResNetV2, DenseNet121, and Xception) on a subset of BCC and pigmented nevi of this dataset. We also analyzed the basis of the diagnosis results in the form of heatmaps. We compared the optimal CNN classification model with 30 professional dermatologists.
 Results: The Xiangya Skin Disease Dataset contains 150 223 clinical images with lesion annotations, covering 543 skin diseases, and each image in the dataset contains support for pathological gold standards and the patient's overall medical history. On the test set of 349 BCC and 497 pigmented nevi, the optimal CNN model was Xception, and its classification accuracy can reach 93.5%, of which the area under curve (AUC) values were 0.974 and 0.969, respectively. The results of the heatmap showed that the CNN model can indeed learn the characteristics associated with disease identification. The ability of the Xception model to identify clinical images of BCC and Nevi was basically comparable to that of professional dermatologists.
 Conclusion: This study is the first assistant diagnosis study for skin tumor based on Chinese ethnic clinical dataset. It proves that CNN model has the ability to distinguish between Chinese ethnicity's BCC and Nevi, and lays a solid foundation for the following application of artificial intelligence in the diagnosis and treatment for skin tumors.
Area Under Curve ; Carcinoma, Basal Cell ; diagnostic imaging ; Humans ; Neural Networks, Computer ; Nevus, Pigmented ; diagnostic imaging ; Skin Neoplasms ; diagnostic imaging

Acute Kidney Injury ; diagnostic imaging ; etiology ; Aged ; Humans ; Male ; Necrosis ; diagnostic imaging ; etiology ; Paraganglioma ; complications ; Postoperative Complications ; Retroperitoneal Neoplasms ; complications ; Skin ; diagnostic imaging ; pathology ; Tomography, X-Ray Computed

Aged ; Carcinoma, Hepatocellular ; complications ; diagnosis ; diagnostic imaging ; Fatal Outcome ; Humans ; Liver Neoplasms ; complications ; diagnosis ; diagnostic imaging ; Male ; Skin Neoplasms ; diagnosis ; diagnostic imaging ; secondary

OBJECTIVE: The authors applied maximum external decompression for malignant hemispheric infarction and investigated the functional outcome according to the patient age.METHODS: Twenty-five patients with malignant hemispheric infarction were treated using a hemicraniectomy with maximum external decompression, comprising a larger (>14cm) hemicraniectomy, resection of the temporalis muscle and its fascia, spaciously expansive duraplasty, and approximation of the skin flap. The medical and diagnostic imaging records for the patients were reviewed, and 1-year functional outcome data obtained for the younger group (aged ≤ 60 years) and elderly group (aged > 60 years).RESULTS: The patients (n=25) who underwent maximum surgical decompression revealed a minimal mortality rate (n=2, 8.0%). The patients (n=14) in the younger group all survived with mRS scores of 2 (n=1, 7.1%), 3 (n=7, 50.0%), 4 (n=3, 21.4%), or 5 (n=3, 21.4%). A majority of the younger patients (57.1% with mRS ≤3) lived with functional independence. When the 1-year mRS scores were dichotomized between favorable (mRS ≤3) and unfavorable (mRS ≥4) outcomes, the younger group had significantly more patients with a favorable outcome than the elderly group (57.1% versus 9.1%, p=0.033). In contrast, in the elderly group, most patients showed unfavorable outcomes with the mRS scores of 4 (n=5, 45.5%), 5 (n=3, 27.3%), or 6 (n=2, 18.2%), whereas only one patient showed favorable outcome (mRS 3). A majority of the elderly patients (45.5% with mRS 4) survived with moderately severe disability.CONCLUSION: For malignant hemispheric infarction, a hemicraniectomy with maximum external decompression was found to considerably increase survival with a favorable outcome in functional independence (mRS ≤3) for younger patients aged ≤60 years. It can be optimal surgical treatment for younger patients.
Aged ; Cerebral Infarction ; Decompression ; Decompression, Surgical ; Diagnostic Imaging ; Fascia ; Humans ; Infarction ; Mortality ; Skin ; Treatment Outcome

Aged ; Biopsy ; methods ; Diagnosis, Differential ; Erythema ; diagnosis ; etiology ; Extremities ; pathology ; Fever ; complications ; Humans ; Immunoglobulin A ; analysis ; Male ; Purpura ; diagnosis ; etiology ; Skin ; diagnostic imaging ; pathology ; Vasculitis ; complications ; immunology