Horizontal Rotary Cutting Technique for Skin Injury Avoidance in Superficial Benign Breast Masses

BACKGROUND Computer-aided diagnosis (CAD) is a useful tool that can provide a reference for the differential diagnosis of benign and malignant breast lesion. Previous studies have demonstrated that CAD can improve the diagnostic performance. However, conventional ultrasound (US) combined with CAD were used to adjust the classification of category 4 lesions has been few assessed. OBJECTIVE The objective of our study was to evaluate the diagnosis performance of conventional ultrasound combined with a CAD system S-Detect in the category of BI-RADS 4 breast lesions. METHODS Between December 2018 and May 2020, we enrolled patients in this study who received conventional ultrasound and S-Detect before US-guided biopsy or surgical excision. The diagnostic performance was compared between US findings only and the combined use of US findings with S-Detect, which were correlated with pathology results. RESULTS A total of 98 patients (mean age 51.06 ±16.25 years, range 22-81) with 110 breast masses (mean size1.97±1.38cm, range0.6-8.5) were included in this study. Of the 110 breast masses, 64/110 (58.18%) were benign, 46/110 (41.82%) were malignant. Compared with conventional ultrasound, a significant increase in specificity (0% to 53.12%, P<.001), accuracy (41.81% to70.19%, P<.001) were noted, with no statistically significant decrease on sensitivity(100% to 95.65% ,P=.48). According to S-Detect-guided US BI-RADS re-classification, 30 out of 110 (27.27%) breast lesions underwent a correct change in clinical management, 74of 110 (67.27%) breast lesions underwent no change and 6 of 110 (5.45%) breast lesions underwent an incorrect change in clinical management. The biopsy rate decreased from 100% to 67.27 % (P<.001).Benign masses among subcategory 4a had higher rates of possibly benign assessment on S-Detect for the US only (60% to 0%, P<.001). CONCLUSIONS S-Detect can be used as an additional diagnostic tool to improve the specificity and accuracy in clinical practice. S-Detect have the potential to be used in downgrading benign masses misclassified as BI-RADS category 4 on US by radiologist, and may reduce unnecessary breast biopsy. CLINICALTRIAL none

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A computer-aided approach for automatic detection of breast masses in digital mammogram via spectral clustering and support vector machine

Physical and Engineering Sciences in Medicine ◽

10.1007/s13246-021-00977-5 ◽

2021 ◽

Vol 44 (1) ◽

pp. 277-290

Author(s):

Hossein Ketabi ◽

Ali Ekhlasi ◽

Hessam Ahmadi

Keyword(s):

Support Vector Machine ◽

Spectral Clustering ◽

Automatic Detection ◽

Support Vector ◽

Digital Mammogram ◽

Breast Masses ◽

Computer Aided

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Use of breathable silicone technology in an ostomy appliance flange

British Journal of Nursing ◽

10.12968/bjon.2021.30.sup8.25 ◽

2021 ◽

Vol 30 (Sup8) ◽

pp. 25-35

Author(s):

Peta Lager ◽

Lisa Loxdale

Keyword(s):

Preliminary Data ◽

Transepidermal Water Loss ◽

User Evaluation ◽

Skin Damage ◽

Healthcare Use ◽

Skin Injury ◽

Moisture Management ◽

Peristomal Skin ◽

Medical Adhesive ◽

Over Time

Leaks and peristomal skin complications are highly prevalent among people with a stoma, reported by over 80% of ostomates within 2 years of surgery. This suggests that there is room for improvement in ostomy appliances, particularly in their hydrocolloid-based adhesive flanges. Hydrocolloid has an absorptive method of moisture management that, over time, risks maceration and skin stripping, potentially leading to moisture-associated skin damage (MASD) and medical adhesive-related skin injury (MARSI). The newly developed Genii ostomy appliances (Trio Healthcare) use novel Sil2 Breathable Silicone Technology to provide secure, effective adhesion and manage moisture levels by replicating natural transepidermal water loss (TEWL). This has the potential to increase appliance wear time, reduce incidence of MASD and permit atraumatic removal without adhesive remover, reducing the risks of MARSI, as well as time burdens on the user and economic burdens on the healthcare system. Meanwhile, the silicone flanges and water-resistant sports fabric pouches are lightweight, flexible and unobtrusive, and they are the first appliances to be available in colours to match different skin tones, all of which provides security, comfort, confidence and discretion. This article explores the features of Sil2 and Genii ostomy appliances, with reference to preliminary data from a user evaluation.

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A numerical analysis of skin–PPE interaction to prevent facial tissue injury

Scientific Reports ◽

10.1038/s41598-021-95861-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Rikeen D. Jobanputra ◽

Jack Hayes ◽

Sravani Royyuru ◽

Marc A. Masen

Keyword(s):

Strain Energy Density ◽

Strain Energy ◽

Tissue Injury ◽

Soft Materials ◽

Element Model ◽

Healthcare Systems ◽

Skin Injury ◽

Energy Density Distribution ◽

The World ◽

The Face

AbstractThe use of close-fitting PPE is essential to prevent exposure to dispersed airborne matter, including the COVID-19 virus. The current pandemic has increased pressure on healthcare systems around the world, leading to medical professionals using high-grade PPE for prolonged durations, resulting in device-induced skin injuries. This study focuses on computationally improving the interaction between skin and PPE to reduce the likelihood of discomfort and tissue damage. A finite element model is developed to simulate the movement of PPE against the face during day-to-day tasks. Due to limited available data on skin characteristics and how these vary interpersonally between sexes, races and ages, the main objective of this study was to establish the effects and trends that mask modifications have on the resulting subsurface strain energy density distribution in the skin. These modifications include the material, geometric and interfacial properties. Overall, the results show that skin injury can be reduced by using softer mask materials, whilst friction against the skin should be minimised, e.g. through use of micro-textures, humidity control and topical creams. Furthermore, the contact area between the mask and skin should be maximised, whilst the use of soft materials with incompressible behaviour (e.g. many elastomers) should be avoided.

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