We report a case of arterio-portal fistulae in a 12-month-old-child following a segmental liver transplantation. The fistula, probably the result of mass ligature of a vascular pedicle during back table allograft reduction, is to our knowledge the first such case reported. Diagnosed on the third post-operative day, the fistula was successfully managed with transcatheter coil embolization. The child is well and asymptomatic, 33 months after transplantation. In addition to those seen in whole organ transplantation, there are a few complications specifically related to segmental transplantation. These complications, although infrequent, are a direct consequence of the back table liver partition, as in the case herein reported.
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http://dx.doi.org/10.1034/j.1399-3046.2002.t01-2-00002.x | DOI Listing |
Med Phys
January 2025
Center for Virtual Imaging Trial, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA.
Background: This Special Report summarizes the 2022, AAPM grand challenge on Truth-based CT image reconstruction.
Purpose: To provide an objective framework for evaluating CT reconstruction methods using virtual imaging resources consisting of a library of simulated CT projection images of a population of human models with various diseases.
Methods: Two hundred unique anthropomorphic, computational models were created with varied diseases consisting of 67 emphysema, 67 lung lesions, and 66 liver lesions.
Langenbecks Arch Surg
January 2025
Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University, Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Purpose: The impact of body-cavity depth on open (OLR) and laparoscopic liver resection (LLR) of segment 7 remains unclear. Therefore, we investigated the influence of body-cavity depth at the upper-right portion of the abdomen on LLR and OLR of segment 7.
Methods: In total, 101 patients who underwent segment-7 liver resection over 2010-2023 were included.
Eur J Radiol Open
June 2025
Department of Nuclear medicine, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Objectives: To develop and validate a deep learning model using multimodal PET/CT imaging for detecting and classifying focal liver lesions (FLL).
Methods: This study included 185 patients who underwent F-FDG PET/CT imaging at our institution from March 2022 to February 2023. We analyzed serological data and imaging.
Eur J Radiol Open
June 2025
Department of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich Heine University Duesseldorf, Düsseldorf 40225, Germany.
Objective: [F]FDG imaging is an integral part of patient management in CAR-T-cell therapy for recurrent or therapy-refractory DLBCL. The calculation methods of predictive power of specific imaging parameters still remains elusive. With this retrospective study, we sought to evaluate the predictive power of the baseline metabolic parameters and tumor burden calculated with automated segmentation via different thresholding methods for early therapy failure and mortality risk in DLBCL patients.
View Article and Find Full Text PDFPrz Gastroenterol
September 2024
Department of Surgery, General University Hospital of Patras, Patras, Greece.
Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management of liver cancer. Recent advancements showcase AI's ability to analyse medical imaging data, like computed tomography scans and magnetic resonance imaging, accurately detecting and classifying liver cancer lesions for early intervention. Predictive models aid prognosis estimation and recurrence pattern identification, facilitating personalised treatment planning.
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