To retrospectively analyze the use of artificial pneumoperitoneum in CT scans, to explore its operation methods and technical points, and to lay the foundation for the widespread application of artificial pneumoperitoneum in CT. A total of 331 patients who underwent artificial pneumoperitoneum with CT angiography from January 1, 2013, to November 1, 2019, were recruited. All patients underwent standardized artificial pneumoperitoneum in the horizontal, left and right lateral, and prone positions during CT thin-layer scans of the abdomen and 3D reconstruction. Taking the surgical results as the gold standard, and using kappa test to verify the consistency of surgical results and imaging results. In all 331 patients, 43 patients had a normal peritoneal space, and 288 patients had an abnormal peritoneal space. And only 22 patients developed complications of subcutaneous emphysema, accounting for 6.6% of all 331 patients. In terms of the postoperative results, 28 were normal, and 303 were abnormal. The sensitivity, specificity and accuracy of CT diagnosis of abdominal adhesions using artificial pneumoperitoneum were 100%, 95.04%, and 95.46%, respectively. According to the Kappa consistency test, the imaging diagnosis from the CT scan with artificial pneumoperitoneum had a high consistency with the surgical results (kappa = 0.796, P < 0.05). The technique of artificial pneumoperitoneum CT is safe, reliable, highly practical, and proficient for obtaining good imaging results. It provides a good imaging basis for the diagnosis of intra-abdominal diseases, especially intra-abdominal adhesions.
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http://dx.doi.org/10.1038/s41598-021-00408-1 | DOI Listing |
Introduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.
View Article and Find Full Text PDFObjective: In laparoscopic surgery, initial entry into the abdomen becomes more risky in patients with a history of abdominal surgery. In such cases, initial entry is usually performed with a Veress needle via Palmer's point (PP). However, it is associated with an increased failure rate, especially in obese patients.
View Article and Find Full Text PDFJ Robot Surg
January 2025
Department of Urology, Icahn School of Medicine at Mount Sinai Hospital, 1425 Madison Ave, New York, USA.
Robotic-assisted surgery offers several advantages over traditional methods, such as reduced blood loss and fewer complications. Establishing pneumoperitoneum is a critical step, with two primary techniques: the Veress needle (closed) and the Hasson (open) technique. Despite extensive studies in laparoscopic surgery, limited data exist regarding their use in robotic surgery.
View Article and Find Full Text PDFPurpose: To compare the indicators, postoperative pneumoretroperitoneum-related complications, and postoperative recovery of laparoscopic preperitoneal inguinal hernia repair under different CO2 pneumoperitoneum pressures.
Methods: The total of 187 adult patients with primary inguinal hernia who successfully underwent transabdominal preperitoneal prosthesis (TAPP) from September 2021 to September 2023 in the Department of General Surgery, Haimen People's Hospital affiliated to Nantong University, were collected. These patients were randomly divided into low abdominal pressure group (group A: pneumoperitoneum pressure = 8 mmHg), sub-low abdominal pressure group (group B: pneumoperitoneum pressure = 10 mmHg), moderate abdominal pressure group (group C: pneumoperitoneum pressure = 12 mmHg), and standard pressure group (group D: pneumoperitoneum pressure = 14 mmHg), with 40 patients each.
Hernia
December 2024
Department of Surgery, Yamatotakada Municipal Hospital, 1-1 Isono Kitamachi, Yamatotakada, Nara, Japan.
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