Giant solitary fibrous tumour of pleura -an uncommon intrathoracic entity- a case report and review of the literature

A 43-year-old woman presented to us with progressive breathlessness, dry cough and weight loss. A chest radiograph showed homogeneous opacification of the entire left hemithorax. A contrast enhanced computed tomography (CECT) scan of the thorax showed a large intrathoracic mass occupying almost the entire left hemithorax and appeared grossly inoperable. A transcutaneous CT guided tru-cut biopsy revealed a solitary fibrous tumour. We reviewed the CT scans based on the biopsy report, and, in retrospect, the mediastinal vessels seemed more stretched and pushed by the tumor rather than directly infiltrated by it. We performed an exploratory thoracotomy and to our surprise, were able to dissect the mass quite easily off the mediastinum. She had an uneventful postoperative recovery, and the final histopathology confirmed a solitary fibrous tumor. We report this case to emphasize that a cursory clinico-radiological interpretation can dissuade surgical intervention in these patients

Giant Solitary Fibrous Tumour of Pleura —An Uncommon Intrathoracic Entity— A Case Report and Review of the Literature

A 43-year-old woman presented to us with progressive breathlessness, dry cough and weight loss. A chest radiograph showed homogeneous opacification of the entire left hemithorax. A contrast enhanced computed tomography (CECT) scan of the thorax showed a large intrathoracic mass occupying almost the entire left hemithorax and appeared grossly inoperable. A transcutaneous CT guided tru-cut biopsy revealed a solitary fibrous tumour. We reviewed the CT scans based on the biopsy report, and, in retrospect, the mediastinal vessels seemed more stretched and pushed by the tumor rather than directly infiltrated by it. We performed an exploratory thoracotomy and to our surprise, were able to dissect the mass quite easily off the mediastinum. She had an uneventful postoperative recovery, and the final histopathology confirmed a solitary fibrous tumor. We report this case to emphasize that a cursory clinico-radiological interpretation can dissuade surgical intervention in these patients

Identifying Individual Specimens Among Species Using Computer Vision

Earth provides shelter to more than 8.7 million species, when confronted with accelerating extinction rates of species during the last half of this century concerns for conservation of this ecological cycle is of utmost importance. Several methods are used for conservation of species and gather data for their sustenance, most of these methods utilises direct contact with the individual for their surveillance this results in a tedious process of handling the specimen and mounting devices on the individual and also causes these devices to stay on the individuals even after the devices are unable to function. Computer Vision and Artificial intelligence has shown promising results for the last decade for systems like facial recognition, object detection, etc. Camera trap methods were used to for tracking animals in a designated area but they rarely provide information about individual animal. We in this manuscript provide with a solution using Computer Vision for determining individual specimen among several species

IDENTIFYING INDIVIDUAL SPECIMENS AMONG SPECIES USING COMPUTER VISION

Earth provides shelter to more than 8.7 million species, when confronted with accelerating extinction rates of species during the last half of this century concerns for conservation of this ecological cycle is of utmost importance. Several methods are used for conservation of species and gather data for their sustenance, most of these methods utilises direct contact with the individual for their surveillance this results in a tedious process of handling the specimen and mounting devices on the individual and also causes these devices to stay on the individuals even after the devices are unable to function. Computer Vision and Artificial intelligence has shown promising results for the last decade for systems like facial recognition, object detection, etc. Camera trap methods were used to for tracking animals in a designated area but they rarely provide information about individual animal. We in this manuscript provide with a solution using Computer Vision for determining individual specimen among several species