Aim. We describe our experience of a simple, safe, and reproducible technique for lung nodule marking prethoracoscopic metastasectomy. Thoracoscopic lung nodule resection reduces patient discomfort, complications, higher level of care, hospital stay, and cost; however, small deeply placed lung nodules are difficult to locate and resect thoracoscopically. Materials and Methods. We describe and review the success of our novel technique, where nodules are identified on a low dose CT and marked with methylene blue using CT fluoroscopy guidance immediately prior to surgery. Results. 30 nodules were marked with a mean size of 8 mm (4–18 mm) located at a mean depth of 17 mm, distributed through both lungs. Dye was detected at the pleural surface in 97% of the patients and at the nodule in 93%. There were no major complications. Thoracoscopic resection was possible in 90%. Conclusion. This is a simple and safe method of lung nodule marking to facilitate thoracoscopic resection in cases where this may not be technically possible due to nodule location.
Abstract. Evolving business needs call for customizing choreographed interactions. However, conventional choreography description languages provide only a partial view of the interaction. Business goals of each participant and organizational dependencies motivating the interaction are not captured in the specification of messaging. Absence of this critical business knowledge makes it hard to reason if a particular customization satisfies the goals of participants. Furthermore, there is no systematic means to assess the impact of change in one participant's process (local view) on the choreography (global view) as well as on other participants' processes. To this end, we argue for the benefits of representing choreography at the level of requirements motivating the interaction. We propose a framework that allows participants to collaborate on customizing choreographed interactions, while reconciling their competing business needs. To bridge the worlds of messaging and requirements, we employ an automated technique for deriving a choreography description from the customized requirements.
Evolving business needs call for customizable choreographed interactions. However, choreography descriptions do not capture the problem-domain knowledge required to perform the customization effectively. Hence, we propose performing the customization to models of organizational requirements motivating the interaction. To facilitate the derivation of the resulting choreography description, we propose an alignment between conversations and organizational dependencies. We employ the domain knowledge and formal semantics of requirements models to find customization alternatives and reason about them. Using the alignment, we derive constraints on conversations systematically from customized requirements models.
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