Introduction And Importance: Gossypiboma or textiloma is a mass comprising of cotton matrix within the body left accidentally during a surgical procedure. The body may react to this foreign body through an exudative inflammatory reaction or an aseptic fibrotic reaction in order to encapsulate the cotton material and result into a mass.
Case Presentation: We report a case of 65-year-old female. She was referred to our department due to 2 episodes of nausea and vomiting. She had history of open cholecystetomy 29 years ago, then cure for eventration one year after. On exploratory laparotomy there was a mass measuring 6 cm axis at the expense of segment 3 of the liver coming into intimate contact with the duodenum. Atypical segmental hepatectomy of segment 3 of liver was performed, and the histological report confirmed necrotic textiloma.
Clinical Discussion: Textiloma represents a complication of all forms of surgery. It is a real, serious but preventable surgical complication, and could present with various complaints. Prevention of this condition can be achieved by meticulous count of surgical materials.
Conclusion: The embarrassment faced by the surgeon and the medico legal implications of this iatrogenic complication are tremendous and all preventive measures should be taken to avoid this as no excuse is justifiable.
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http://dx.doi.org/10.1016/j.amsu.2021.102795 | DOI Listing |
Ann Surg Oncol
January 2025
Department of Hepatobiliary and Digestive Surgery, Pontchaillou University Hospital, Rennes, France.
Background: Hepatocellular carcinoma (HCC) associated with major vasculature tumor extension is considered an advanced stage of disease to which palliative radiotherapy or chemotherapy is proposed. Surgical resection associated with chemotherapy or chemoembolization could be an opportunity to improve overall survival and recurrence-free survival in selected cases in a high-volume hepatobiliary center. Moreover, it has been 25 years since Couinaud described the entity of a posterior liver located behind an axial plane crossing the portal bifurcation.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Pharmacology, Faculty of Medicine, Wrocław Medical University, 50-345 Wrocław, Poland.
: Medullary carcinoma of the small intestine is an exceptionally rare subtype of gastrointestinal cancer, characterized by its solid growth pattern and lack of glandular structures, which complicate timely diagnosis. During the COVID-19 pandemic, diagnostic delays for rare cancers became increasingly common due to the prioritization of COVID-related cases and patient reluctance to seek medical attention. : We present the case of a 70-year-old male initially misdiagnosed with COVID-19, whose persistent symptoms led to the eventual discovery of medullary carcinoma.
View Article and Find Full Text PDFMedicina (Kaunas)
December 2024
Division of Hepato-Pancreato-Biliary, Oncologic and Robotic Surgery, Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy.
: Resection of the caudate lobe of the liver is considered a highly challenging surgical procedure due to the deep anatomic location of this segment and the relationships with major vessels. There is no clear evidence about the safety and effectiveness of robotic resection of the caudate lobe. The aim of this systematic review was to report data about the safety, technical feasibility, and postoperative outcomes of robotic caudate lobectomy.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Department of Medical Device and Healthcare, Dongguk University, Seoul 04620, Republic of Korea.
Liver cancer has a high mortality rate worldwide, and clinicians segment liver vessels in CT images before surgical procedures. However, liver vessels have a complex structure, and the segmentation process is conducted manually, so it is time-consuming and labor-intensive. Consequently, it would be extremely useful to develop a deep learning-based automatic liver vessel segmentation method.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA 92093, USA.
Liver ultrasound segmentation is challenging due to low image quality and variability. While deep learning (DL) models have been widely applied for medical segmentation, generic pre-configured models may not meet the specific requirements for targeted areas in liver ultrasound. Quantitative ultrasound (QUS) is emerging as a promising tool for liver fat measurement; however, accurately segmenting regions of interest within liver ultrasound images remains a challenge.
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