Automatic Detection of Free Intra-abdominal Air in Computed Tomography

Taubmann, Oliver; Li, Jingpeng; Denzinger, Felix; Eibenberger, Eva; Müller, F.; Brejnebøl, Mathias Willadsen; Maier, Andreas

doi:10.1007/978-3-030-59713-9_23

Cited by 4 publications

(8 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The presence of free air in the abdomen, which was detected by imaging methods in patients presenting with acute abdomen, is a significant finding that causes suspicion of GIT perforation and should be considered [ 30 ]. In non-traumatic patients, the occurrence of free air in the abdomen, with a rate of 5-10%, is not accompanied by intrabdominal perforations.…”

Section: Discussionmentioning

confidence: 99%

The Role of Dual-Energy Computed Tomography in Locating Gastrointestinal Tract Perforations

Baş

Zarbaliyev

2021

Cureus

View full text Add to dashboard Cite

Objective With each passing day, dual-energy computed tomography (DECT) is being used more frequently in the evaluation of abdominal pathologies. In this article, we aimed to assess the role of dual-energy CT in locating gastrointestinal perforations, which are among the causes of acute abdomen. Materials and methods All patients who underwent DECT due to acute abdomen in a COVID-19 designated hospital between June 1st, 2020 and December 31st, 2020, who were found to have gastrointestinal tract (GIT) perforation and underwent surgery were included in the study. DECT results and intraoperative findings of the patients were compared. Results Thirteen patients (nine males and four females) who underwent DECT for acute abdomen and were diagnosed with perforation in the gastrointestinal system were included in the study. The mean age of the patients was 57.6 years (range: 11-85 years). Two patients had gastric perforation, three had duodenal perforations, and one patient had a perforation in the gallbladder wall. Two patients were diagnosed with jejunal perforations, one patient with Meckel's diverticulum, and three patients with colorectal perforation. Although free air was detected in the abdomen of one patient, perforation could not be located. In patients with GIT perforation who were operated on following DECT imaging, the perforation location shown on DECT correlated 100% with the perforation locations detected during surgery. Conclusion DECT is significantly effective in planning surgical treatment and determining the foci of perforation in GIT perforations.

show abstract

Section: Discussionmentioning

confidence: 99%

The Role of Dual-Energy Computed Tomography in Locating Gastrointestinal Tract Perforations

Baş

Zarbaliyev

2021

Cureus

View full text Add to dashboard Cite

show abstract

“…Axial series of the CT scans were reconstructed at 3 mm slice thickness at 3 mm increments using an abdominal kernel and loaded into the research AI algorithm on a stand-alone computer at our hospital [5]. The reconstructions were identical with the ones used by radiologists at our institution for reading of the CT scans.…”

Section: Index Test Ai Algorithmmentioning

confidence: 99%

“…The reconstructions were identical with the ones used by radiologists at our institution for reading of the CT scans. The design of the AI algorithm has been previously covered, but is summarized in the following sentences [5]. The algorithm performs an abdominopelvic cavity segmentation and subsequently employs a 3D-sliding-window approach with a deep recurrent neural network classifier at its core.…”

Section: Index Test Ai Algorithmmentioning

confidence: 99%

“…At 99% specificity, sensitivity was 81% (13/16) and positive likelihood ratio was 82 (95% CI 27 -254). Conclusions: An AI algorithm identified pneumoperitoneum on CT scans in a clinical setting with low sensitivity but very high specificity, supporting its role for ruling in pneumoperitoneum.Recently, a highly specific Artificial Intelligence (AI) algorithm which can detect pneumoperitoneum on abdominal CT scans was developed by Siemens Healthineers [5].The primary aim of this study was to investigate the diagnostic performance of an AI algorithm for the detection of pneumoperitoneum in patients with acute abdominal pain who underwent an abdominal CT scan. A secondary aim was to compare the performance of the AI algorithm against the performance of experienced CT technologists.…”

mentioning

confidence: 99%

“…Recently, a highly specific Artificial Intelligence (AI) algorithm which can detect pneumoperitoneum on abdominal CT scans was developed by Siemens Healthineers [5].…”

mentioning

confidence: 99%

See 2 more Smart Citations