Lucky in his misfortune: An arrow through the heart.

Crossbow arrows were weapons used in the Middle Ages. Nowadays, they are essentially used for sport practice. Those weapons can induce major lesions either by accident or by suicide attempt. We report the case of a 48-year-old man who attempted to commit suicide with a crossbow. As he reached the hospital hemodynamically stable, with no tamponade on echocardiography, we performed a contrast-enhanced computed tomography scan. The arrow crossed the left internal thoracic artery, the pulmonary artery root, the left atrium, and ended in right transverse process. We performed a salvage cardiac surgery. The patient recovered uneventfully. We present and comment on our management of the patient. Learning objective: Penetrating vascular and cardiac injuries can be faced by many physicians. Fortunately, these situations are scarce. There are main principles to manage these lesions, but every clinical case has its own particularities. We wish to help practicians who might face similar cases.

Assessment of shape-based features ability to predict the ascending aortic aneurysm growth.

The current guidelines for the ascending aortic aneurysm (AsAA) treatment recommend surgery mainly according to the maximum diameter assessment. This criterion has already proven to be often inefficient in identifying patients at high risk of aneurysm growth and rupture. In this study, we propose a method to compute a set of local shape features that, in addition to the maximum diameter D, are intended to improve the classification performances for the ascending aortic aneurysm growth risk assessment. Apart from D, these are the ratio DCR between D and the length of the ascending aorta centerline, the ratio EILR between the length of the external and the internal lines and the tortuosity T. 50 patients with two 3D acquisitions at least 6 months apart were segmented and the growth rate (GR) with the shape features related to the first exam computed. The correlation between them has been investigated. After, the dataset was divided into two classes according to the growth rate value. We used six different classifiers with input data exclusively from the first exam to predict the class to which each patient belonged. A first classification was performed using only D and a second with all the shape features together. The performances have been evaluated by computing accuracy, sensitivity, specificity, area under the receiver operating characteristic curve (AUROC) and positive (negative) likelihood ratio LHR+ (LHR-). A positive correlation was observed between growth rate and DCR (r = 0.511, p = 1.3e-4) and between GR and EILR (r = 0.472, p = 2.7e-4). Overall, the classifiers based on the four metrics outperformed the same ones based only on D. Among the diameter-based classifiers, k-nearest neighbours (KNN) reported the best accuracy (86%), sensitivity (55.6%), AUROC (0.74), LHR+ (7.62) and LHR- (0.48). Concerning the classifiers based on the four shape features, we obtained the best accuracy (94%), sensitivity (66.7%), specificity (100%), AUROC (0.94), LHR+ (+∞) and LHR- (0.33) with support vector machine (SVM). This demonstrates how automatic shape features detection combined with risk classification criteria could be crucial in planning the follow-up of patients with ascending aortic aneurysm and in predicting the possible dangerous progression of the disease.

The illusion of a chest wall tumor: a case-report of sternal tuberculosis.

The incidence rate of tuberculosis in developed countries is low. The most common presentation of this disease is its pulmonary form but with the increasing use of immunosuppressive drugs, extra-pulmonary tuberculosis is re-emerging. Nevertheless, sternal bone involvement is uncommon. We report the case of an eighty-three-year-old man who presented a painful sternal mass which progressed towards cutaneous ulceration. The first diagnostic hypothesis was neoplasia. The pathological and microbiological diagnosis of tuberculosis was achieved after surgical biopsy. The patient received treatment against tuberculosis for nine months enabling recovery without surgery. This case illustrates the importance of having a diagnosis prior to any kind of treatment facing any voluminous parietal thoracic lesions.  This diagnosis is made possible by surgical samples and interdisciplinary teamwork. This case underlines that tuberculosis remains a differential diagnosis that must be evoked in case of unusual bone mass.