4. Laryngoscope, 128:745-749, 2018.

Background Poor cosmetic results with oncoplastic and implant‐based breast reconstruction have stimulated an interest in latissimus dorsi flap (LDF)‐based reconstruction. We reviewed the surgical techniques and outcomes of the LDF harvested with minimally invasive surgery. Methods A systematic search was conducted across PubMed‐MEDLINE, Web of Science, Scopus, and Ovid‐MEDLINE(R). Data on surgical outcomes were extracted. Results 31 articles were included reporting on 857 reconstructive procedures using a LDF harvested, 497 were endoscopic‐assisted LDF (EALDF) (58%) and 174 were robotic‐assisted LDF (RALDF) (20.3%). The average flap harvest time was 84.04‐min for EALDF and 106.14‐min for RALDF. With an EALDF, the incidence of haematoma, seroma, and wound dehiscence ranged between 0%–16.6%, 0%–48%, and 0%–6.2%, respectively. Using RALDF, the incidence of seroma was between 0%–26.1% and 0%–3.4% for haematoma. Conclusions While the indications for a LDF harvested with MIS are limited, its main advantage for breast reconstruction is the absence of the back scar.

No abstract

The validity of the TritonWear® device to measure swimming performance was investigated, with a pre-determined analytical goal of 6%. Twenty youth swimmers completed a 100 m swim in a 25 m pool, swimming breaststroke or freestyle wearing the TritonWear® device, whilst being filmed above and below water with three cameras. 95% limits of agreement (95% LoA) and coefficient of variation (CV%) were used to calculate error. Systematic biases (P < 0.05) were found between the two systems only for distance per stroke during breaststroke. Freestyle metrics agreement ranged between 1.06% and 10.40% CV, except for distance per stroke (CV = 14.64%), and time underwater (CV = 18.15%). Breaststroke metrics ranged between 0.95% and 13.74% CV, except for time underwater (CV = 25.76%). The smallest errors were found for split-times, speed, stroke-count and stroke-rate, across both strokes (all < 5% CV). The TritonWear® can be used for basic metrics of performance, such as split-time and speed but the error of more complex measurements, such as time underwater or turn-times, renders them unable to identify typical performance changes.