Peer-reviewedLicence not statedSurgery for Obesity and Related Diseases
Computed tomography assessment of postoperative gastric vascular supply and staple-line leak development after sleeve gastrectomy
Related
- Opportunistic computed tomography assessment of bone, muscle, and adipose tissue: evidence, limitations, and clinical translation
- Comparative micro-computed tomography assessment of left-sided septal pouch and left atrial appendage morphometry
- Assessment of predictive efficacy for prognosis of pediatric severe Mycoplasma pneumoniae pneumonia: a comprehensive study based on high-resolution computed tomography imaging and platelet parameters
- A multimodal optimisation framework for cardiac electrophysiology model personalisation using computed tomography and 12-lead electrocardiogram: Algorithm development and validation
- Comparison of Risk Assessment Strategies Recommended by the 2019 and 2024 European Society of Cardiology Guidelines in Patients With Stable Chest Pain: A Coronary Computed Tomography Angiography Study
BibTeX
@article{tranchart2026computed,
title = {{Computed tomography assessment of postoperative gastric vascular supply and staple-line leak development after sleeve gastrectomy}},
author = {Hadrien Tranchart and Florence Llouquet and Joseph Derienne and Martin Gaillard and George Rafek and Antoine Grassin and Cosmin Sebastian Voican and Gianfranco Donatelli and Laurence Rocher and Ibrahim Dagher},
journal = {Surgery for Obesity and Related Diseases},
year = {2026},
month = oct,
doi = {10.1016/j.soard.2022.03.018},
url = {https://hal.science/hal-05793497v1},
}
RIS
TY - JOUR
TI - Computed tomography assessment of postoperative gastric vascular supply and staple-line leak development after sleeve gastrectomy
AU - Hadrien Tranchart
AU - Florence Llouquet
AU - Joseph Derienne
AU - Martin Gaillard
AU - George Rafek
AU - Antoine Grassin
AU - Cosmin Sebastian Voican
AU - Gianfranco Donatelli
AU - Laurence Rocher
AU - Ibrahim Dagher
PY - 2026
DA - 2026/10/12
JO - Surgery for Obesity and Related Diseases
DO - 10.1016/j.soard.2022.03.018
UR - https://hal.science/hal-05793497v1
SN - 1550-7289
SN - 1878-7533
ER -