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Povzetek: Background/Objectives: Robotic-assisted abdominal wall reconstruction is increasingly used for ventral hernias; however, implementation in low-volume settings and early adoption of technically complex cases remain controversial. This study aimed to evaluate perioperative outcomes of robotic ventral hernia repair with early inclusion of technically complex cases and to compare these results with open surgery. Methods: Prospectively collected data were retrospectively analyzed for consecutive technically complex robotic ventral hernia repairs performed between September 2021 and December 2025. A cohort of consecutive open Rives–Stoppa repairs was included for comparison (n = 21 per group). Outcomes included operative time, length of hospital stay (LOS), and perioperative complications. Results: Operative time was significantly longer in the robotic group (median 310 vs. 118 min, p < 0.001). The median LOS was significantly shorter following robotic repair (3 vs. 5 days, p = 0.0018). Postoperative complications occurred in 10% of robotic cases and 24% of open cases (p = 0.41). Major complications and reoperation rates were low and comparable between groups. Technically complex robotic cases, including procedures requiring component separation, were introduced early and were associated with acceptable short-term outcomes. Conclusions: Technically complex robotic hernia repair was associated with significantly shorter hospital stay compared with open surgery, despite longer operative times and higher procedural complexity. Complication rates were comparable between groups. Early inclusion of technically complex cases was not associated with a statistically significant increase in short-term complications.
Ključne besede: robotic surgery, ventral hernia, incisional hernia, abdominal wall reconstruction, transversus abdominis release, learning curve, low-volume center, retromuscular repair, minimally invasive surgery
Objavljeno v DiRROS: 02.09.2026; Ogledov: 74; Prenosov: 57
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Povzetek: Reconstructing a coupled multi-physics state from sparse and heterogeneous measurements is central to real-time monitoring and digital twinning, yet it is challenging when only a subset of fields is observable and sensors operate over field-dependent regions. This work introduces the Multi-field Generalized Empirical Interpolation Method, which extends the Generalized Empirical Interpolation Method to product spaces by treating the full coupled state as a single element of a multi-field Hilbert space while allowing measurements to be selected across multiple fields and sensing modalities. In the offline phase, the Multi-field Generalized Empirical Interpolation Method constructs a reduced basis and a corresponding set of measurement functionals through a greedy procedure that (i) simultaneously identifies the global basis function and the field to be sensed and (ii) improves numerical robustness by applying an explicit scaling factor to each selected measurement functional. In the online phase, the method reconstructs all fields, including unmeasured ones, by solving a small interpolation system from noisy measurements. Global and field-wise stability measures (Lebesgue constants) and trace-based noise-amplification indicators are also introduced to provide an exact characterization of the expected mean-square contribution of Gaussian measurement perturbations. Numerical experiments on a two-dimensional molten salt reactor benchmark demonstrate accurate reconstruction under realistic observability constraints and quantify the trade-off between reduced-space approximation and noise sensitivity.
Ključne besede: multi-physics state reconstruction, generalized empirical interpolation method, reduced-order modeling, sensor placement, data assimilation, digital twinning, nuclear reactor monitoring
Objavljeno v DiRROS: 23.06.2026; Ogledov: 299; Prenosov: 198
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Povzetek: Biomaterials and biotechnology are becoming increasingly important fields in modern medicine. For cranial bone defects of various aetiologies, artificial materials, such as poly-methyl-methacrylate, are often used. We report our clinical experience with poly-methyl-methacrylate for a novel in vivo bone defect closure and artificial bone flap development in various neurosurgical operations. Methods: The experimental study included 12 patients at a single centre in 2018. They presented with cranial bone defects after various neurosurgical procedures, including tumour, traumatic brain injury and vascular pathologies. The patients underwent an in vivo bone reconstruction from poly-methyl-methacrylate, which was performed immediately after the tumour removal in the tumour group, whereas the trauma and vascular patients required a second surgery for cranial bone reconstruction due to the bone decompression. The artificial bone flap was modelled in vivo just before the skin closure. Clinical and surgical data were reviewed. Results: All patients had significant bony destruction or unusable bone flap. The tumour group included five patients with meningiomas destruction and the trauma group comprised four patients, all with severe traumatic brain injury. In the vascular group, there were three patients. The average modelling time for the artificial flap modelling was approximately 10 min. The convenient location of the bone defect enabled a relatively straightforward and fast reconstruction procedure. No deformations of flaps or other complications were encountered, except in one patient, who suffered a postoperative infection. Conclusions: Poly-methyl-methacrylate can be used as a suitable material to deliver good cranioplasty cosmesis. It offers an optimal dural covering and brain protection and allows fast intraoperative reconstruction with excellent cosmetic effect during the one-stage procedure. The observations of our study support the use of poly-methyl-methacrylate for the ad hoc reconstruction of cranial bone defects.
Ključne besede: biopolymers, in vivo reconstruction, cranial bone, poly-methyl-methacrylate, bone flap
Objavljeno v DiRROS: 11.06.2026; Ogledov: 230; Prenosov: 169
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Povzetek: Background: The aim of this nation-wide 2009-2021 cohort study was to analyze postoperative survival of patients with resected appendicular skeletal metastases and endoprosthetic reconstruction in comparison to sarcoma patients and non-oncological reconstructions. Patients and methods: A single institution nation-wide cohort of 144 consecutive patients with tumor endoprosthetic reconstructions (32 resected metastases, 73 resected sarcomas, 39 non-oncological) were stratified into histopathological groups according to the 2013-SPRING prediction model. Their survival was analyzed with the Kaplan-Meier method and Cox regression. Results: The observed patient survival rates after wide resection of fast/moderate/slow growing metastases were 25/55/88% at 2 years and 10/30/83% at 5 years, while in sarcomas the observed survival rates were 80% at 2 years and 69% at 5 years. Estimated mean postoperative survival after resection of skeletal metastases was significantly shorter in comparison to sarcomas (4.6 years vs. 9.1 years, log-rank p < 0.001). Predictors of worse patient survival included higher age, pathologic fracture or >1 metastasis, diagnostic group fast-growing metastases and higher preoperative C-reactive protein (CRP). Conclusions: Wide resection and endoprosthetic reconstruction offer a reliable solution in selected patients with skeletal metastases. Higher age, fast-growing metastases (from bladder cancer, colorectal, hepatocellular, lung cancer, malignant melanoma, unknown origin), pathologic fracture or >1 metastasis and elevated CRP predict shorter patient survival and may represent a relative contraindication in this regard.
Ključne besede: skeletal metastases, wide resection, endoprosthetic reconstruction, patient survival
Objavljeno v DiRROS: 29.01.2026; Ogledov: 507; Prenosov: 354
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Povzetek: Satellite observations of sea surface temperature (SST) are essential for accurate weather forecasting and climate modeling. However, these data often suffer from incomplete coverage due to cloud obstruction and limited satellite swath width, which requires development of dense reconstruction algorithms. The current state of the art struggles to accurately recover high-frequency variability, particularly in SST gradients in ocean fronts, eddies, and filaments, which are crucial for downstream processing and predictive tasks. To address this challenge, we propose a novel two-stage method CRITER (Coarse Reconstruction with ITerative Refinement Network), which consists of two stages. First, it reconstructs low-frequency SST components utilizing a Vision Transformer-based model, leveraging global spatio-temporal correlations in the available observations. Second, a UNet type of network iteratively refines the estimate by recovering high-frequency details. Extensive analysis on datasets from the Mediterranean, Adriatic, and Atlantic seas demonstrates CRITER's superior performance over the current state of the art. Specifically, CRITER achieves up to 44 % lower reconstruction errors of the missing values and over 80 % lower reconstruction errors of the observed values compared to the state of the art.
Ključne besede: deep learning, reconstruction algorithms, satellite measurements
Objavljeno v DiRROS: 14.10.2025; Ogledov: 929; Prenosov: 450
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