Background; Perforated duodenal ulcer (PDU) is a common surgical emergency that is associated with high mortality and morbidity. Early diagnosis and prompt surgical treatment is required to prevent grave complications.
Objective; The study was designed to evaluate the diagnostic accuracy of different radiological investigations in the diagnosis of perforated duodenal ulcer.
Methods; A prospective study of 185 pts with PDU at al kindy teaching hospital, Baghdad, Iraq from June 2008- august 2010. patients were examined clinically and investigated by blood test, chest x ray, plain X ray of the abdomen. Ultrasonography (U/S) and CT scanning done for those patients with negative X- ray finding. Resuscitation by intravenous fluid and antibiotic done. Explorative laparotomy done for all patients, repair of perforation done by simple omental patch. Data regarding radiological, ultrasonographic and CT finding and operative finding were recorded.
Results: The study of 185 pts with proven perforated DU revealed 162 (87.5%) male and 23 (12.5%) female with age ranging from 22-70 yrs ,the average was 38 years.
Crescentic shape air under diaphragm was seen in chest or abdominal plain X ray in 121 (65.4%) pts and negative in 64 (34.6%) pts. For those 64 pts, a positive finding of free air or fluid was seen by U/S in 16 (25%) pts and positive CT finding was seen in 62 (96.9%) pts.
The operative finding in those 64 pts were; a small perforation less than 0.5 cm in 24 pts, completely or partially sealed perforation in 19 pts, severe edema and narrowing of the pylorus in 15 pts and perforation larger than 1 cm but with little peritoneal soiling was seen in 6 pts.
Conclusions: Pneumoperitonium was detected radiologically in 65% of pts of perforated DU. CT scan was found to be superior to U/S study for the diagnosis in pts with negative X-ray finding. For pts with perforated DU Conservative treatmentcan be adopted in pts with negative radiological findings.
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—Medical images have recently played a significant role in the diagnosis and detection of various diseases. Medical imaging can provide a means of direct visualization to observe through the human body and notice the small anatomical change and biological processes associated by different biological and physical parameters. To achieve a more accurate and reliable diagnosis, nowadays, varieties of computer aided detection (CAD) and computer-aided diagnosis (CADx) approaches have been established to help interpretation of the medical images. The CAD has become among the many major research subjects in diagnostic radiology and medical imaging. In this work we study the improvement in accuracy of detection of CAD system when comb
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BACKGROUND: Volar Barton’s fracture is a shearing mechanism of injury that results in fracture and subluxation of distal end radius in which volar rim of the distal radius is displaced with hand and carpus. Open reduction and volar plate fixation ensure more stable change of displacement, preservation of reduction, and early mobilization. AIM: This study aims to assess the functional and radiological outcome results of volar Barton’s fracture treated by volar buttress plate using the demerit points system of Gartland and Werley. PATIENTS AND METHODS: This study is a prospective descriptive observational study on 32 patients who were treated with ORIF by volar buttress plate for isolated volar Barton’s fractures between Fe
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Early diagnosis of sepsis is a very critical matter especially for soldiers in battle field; on the other hand, Procalcitonin is a new promising biomarker for fast and accurate diagnosis of sepsis. The aim of this study is to investigate the ability of Procalcitonin (PCT) to indicate sepsis earlier than blood culture and other traditional biomarkers and then get use of this in early diagnosis of sepsis.Procalcitonin concentration was measured in 44 sera of Iraqi wounded soldiers who were admitted to GHAZI AL-HARIRI Hospital for surgery, using ELISA kit of BioRay/USA, along with blood culture and other infection biomarker like C-reactive protein, ESR, W.B.C. count. Six patients had elevated PCT and 3 of them
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In this research, a study is introduced on the effect of several environmental factors on the performance of an already constructed quality inspection system, which was designed using a transfer learning approach based on convolutional neural networks. The system comprised two sets of layers, transferred layers set from an already trained model (DenseNet121) and a custom classification layers set. It was designed to discriminate between damaged and undamaged helical gears according to the configuration of the gear regardless to its dimensions, and the model showed good performance discriminating between the two products at ideal conditions of high-resolution images. So, this study aimed at testing the system performance at poo
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In this research, a study is introduced on the effect of several environmental factors on the performance of an already constructed quality inspection system, which was designed using a transfer learning approach based on convolutional neural networks. The system comprised two sets of layers, transferred layers set from an already trained model (DenseNet121) and a custom classification layers set. It was designed to discriminate between damaged and undamaged helical gears according to the configuration of the gear regardless to its dimensions, and the model showed good performance discriminating between the two products at ideal conditions of high-resolution images.
So, this study aimed at testing the system performance at poor s
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Convolutional Neural Networks (CNN) have high performance in the fields of object recognition and classification. The strength of CNNs comes from the fact that they are able to extract information from raw-pixel content and learn features automatically. Feature extraction and classification algorithms can be either hand-crafted or Deep Learning (DL) based. DL detection approaches can be either two stages (region proposal approaches) detector or a single stage (non-region proposal approach) detector. Region proposal-based techniques include R-CNN, Fast RCNN, and Faster RCNN. Non-region proposal-based techniques include Single Shot Detector (SSD) and You Only Look Once (YOLO). We are going to compare the speed and accuracy of Faster RCNN,
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