Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy. While characterization of the tissue perfusion is crucial in various procedures, such as partial nephrectomy, doing so by means of visual inspection remains highly challenging. We developed a laparoscopic real-time multispectral imaging system featuring a compact and lightweight multispectral camera and the possibility to complement the conventional surgical view of the patient with functional information at a video rate of 25 Hz.
View Article and Find Full Text PDFBackground: To explore cross-sectional and longitudinal differences in general health-related and prostate cancer-specific quality of life (QoL) after robotic-assisted (RARP) and laparoscopic (LRP) radical prostatectomy and to analyze predictive variables for QoL outcomes.
Methods: In this multicenter, randomized controlled trial, prostate cancer patients were randomly assigned 3:1 to undergo either RARP or LRP. Patient-reported outcomes were prospectively collected before and 1, 3, 6, 12 months after radical prostatectomy and included QoL as a secondary outcome.
Background: Recently, our LAP-01 trial demonstrated superiority of robotic-assisted laparoscopic radical prostatectomy (RARP) over conventional laparoscopic radical prostatectomy (LRP) with respect to continence at 3 mo.
Objective: To compare the continence, potency, and oncological outcomes between RARP and LRP in the 12-mo follow-up.
Design, Setting, And Participants: In this multicentre, randomised, patient-blinded controlled trial, patients referred for radical prostatectomy to four hospitals in Germany were randomly assigned (3:1) to undergo either RARP or LRP.
Objective: Age is known to have an impact on outcomes after radical prostatectomy (RP). However, age differences can be investigated from a cross-sectional as well as from a longitudinal perspective. This study combines both perspectives.
View Article and Find Full Text PDFBackground: Although digital and data-based technologies are widespread in various industries in the context of Industry 4.0, the use of smart connected devices in health care is still in its infancy. Innovative solutions for the medical environment are affected by difficult access to medical device data and high barriers to market entry because of proprietary systems.
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