New technique of immediate nipple reconstruction during immediate autologous DIEP or MS-TRAM breast reconstruction.

BACKGROUND: Reconstruction of the nipple-areola complex is the final step in surgical restoration of the breast. Usually considered a secondary complement to breast reconstruction, nipple-areola creation is ordinarily done after an interval of several months using different techniques involving local flaps or composite graft from the opposite nipple. METHODS: Because the position of the nipple-areola complex is well defined from the outset in skin-sparing mastectomy, the authors propose a new technique of immediate nipple reconstruction using the skin envelope after skin-sparing mastectomy. A modified wise pattern design of skin-sparing mastectomy with 3 local flaps is used. The dermal-fat flaps are lifted and sutured together to form the new nipple. RESULTS: Seventeen patients (average age, 47 years; range, 33-58 years) underwent immediate nipple reconstruction between March 2010 and January 2012 (11 bilateral and 6 unilateral cases). Average follow-up was 13 months (range, 2-25 months). Aesthetic results were evaluated retrospectively from photographic documentation. A minimum average score of 7.2 points was achieved in all evaluated criteria using a 10-point scale. Patient satisfaction with nipple reconstruction was studied by means of a questionnaire. The shape of the nipple received an average of 9.7 points and the position of the nipple 9.9 points on the 10-point scale; 77% of patients were also very satisfied with nipple sensitivity. CONCLUSIONS: One-stage nipple reconstruction with immediate breast reconstruction using our technique of 3 local flaps on skin envelope flap is possible. This simple, reliable, and rapid technique gives stable aesthetic results over time. Reconstruction may be completed sooner and with fewer procedures. Nipple reconstruction should no longer be considered as a secondary complement to immediate breast reconstruction using deep inferior epigastric perforator or muscle-sparing transverse rectus abdominis myocutaneous flap. Our technique is suitable for patients with ptotic or hypertrophic breasts.

Reconstruction of the Tongue after Hemiglossectomy Using Serratus Anterior Muscle Free Flap.

Background: Serratus anterior muscle free flap is widely used in numerous indicated reconstructions. Only a few studies have dealt with the use of this flap in tongue reconstruction. Materials and Methods: We present a case series of 7 patients with carcinoma of the tongue who underwent hemiglossectomy followed by immediate reconstruction with serratus anterior muscle free flap between January 2017 and December 2019 at the University Hospital Brno. The aim of this study was to evaluate safety and efficiency of the reconstruction as well as the donor site morbidity. Results: There was not a single case of flap failure observed and the donor site healed completely in all cases. The functional outcome (tongue mobility, phonation, and deglutition) depended on the severity of the primary oncological disease and health status of the patient. Conclusion: The serratus anterior muscle free flap represents an alternative option for reconstruction of the tongue.

Machine Learning-Based Pressure Ulcer Prediction in Modular Critical Care Data.

Increasingly available open medical and health datasets encourage data-driven research with a promise of improving patient care through knowledge discovery and algorithm development. Among efficient approaches to such high-dimensional problems are a number of machine learning methods, which are applied in this paper to pressure ulcer prediction in modular critical care data. An inherent property of many health-related datasets is a high number of irregularly sampled time-variant and scarcely populated features, often exceeding the number of observations. Although machine learning methods are known to work well under such circumstances, many choices regarding model and data processing exist. In particular, this paper address both theoretical and practical aspects related to the application of six classification models to pressure ulcers, while utilizing one of the largest available Medical Information Mart for Intensive Care (MIMIC-IV) databases. Random forest, with an accuracy of 96%, is the best-performing approach among the considered machine learning algorithms.