ABSTRACT
Computational modelling was used to assess the capability of a deterministic and a probabilistic method to predict the incidence of AIS3+ injuries in passenger car occupants by comparing the predictions of the methods to the actual injuries observed in real-world crashes. The likelihood of sustaining an injury was first calculated using a computer model for a selected set of injury criteria in different impact conditions based on real-world crashes; AIS3+ injuries were then predicted using each method separately. Regardless of the method, the number of serious injuries was over-predicted. It was also noted that the used injury criteria suggested the occurrence of specific injuries that were not observed in the real world. Although both methods are susceptible to be adapted to improve their predictions, the question of the suitability of using some of the most commonly accepted injury criteria used with crash test dummies for injury assessment with human body models deserves further research.
ABSTRACT
A rare pattern of colon cancer recurrence is presented. A 63-year-old man underwent surgical resection after diagnosis of colon cancer. The postsurgical-pathologic examination showed a stage II colon cancer (MAC B2). Six courses of adjuvant chemotherapy (Mayo protocol) were started within four weeks of surgery. During follow-up, serial serum carcinoembryonic antigen levels became progressively elevated in an otherwise asymptomatic patient who showed no signs of recurrence in any of the conventional imaging tests performed (chest X-ray, abdominal ultrasound, and abdominal CT-scan). Positive findings suggesting lymph node mediastinal metastases were present in the PET scan. Surgical resection and pathologic examination demonstrated metastases of colon adenocarcinoma.