Introduction: Free jejunal flap (FJF) reconstruction is a standard procedure for pharyngeal and cervical esophageal defects resulting from head and neck cancer resection. However, improvements in patients' quality of life after surgery require a further statistical approach.
Methods: An observational, retrospective, multivariate analysis was designed to report the incidence of postoperative complications and their association with clinical factors in 101 patients who underwent total pharyngo-laryngo-esophagectomy and FJF reconstruction for head and neck cancer at a university hospital between January 2007 and December 2020.
Results: Postoperative complications were observed in 69% of patients. In the reconstructive site, anastomotic leak, observed in 8% of patients was associated with vascular anastomosis in the external jugular vein system (age-adjusted odds ratio [OR]: 9.05, p = 0.044) and anastomotic stricture, observed in 11% of patients was associated with postoperative radiotherapy (age-adjusted OR: 12.60, p = 0.02). Cervical skin flap necrosis was the most common complication (34%) and was associated with vascular anastomosis on the right cervical side (age- and sex-adjusted OR: 4.00, p = 0.005).
Conclusion: Although FJF reconstruction is a useful procedure, 69% of patients suffer a postoperative complication. We suppose that anastomotic leak is related to the low blood flow resistance of the FJF and inadequate drainage of the external jugular venous system, and anastomotic stricture is related to the vulnerability of the intestinal tissue to radiation. Furthermore, we hypothesized that the location of the vascular anastomosis may affect the mesenteric location of the FJF and the dead space in the neck, leading to the development of cervical skin flap necrosis. These data contribute to increasing our knowledge about postoperative complications related to FJF reconstruction.
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http://dx.doi.org/10.1159/000530920 | DOI Listing |
Comput Med Imaging Graph
December 2024
School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, Beijing, PR China; Zhengzhou Research Institute, Beijing Institute of Technology, Zhengzhou, 450000, Henan, PR China. Electronic address:
In skull base surgery, the method of using a probe to draw or 3D scanners to acquire intraoperative facial point clouds for spatial registration presents several issues. Manual manipulation results in inefficiency and poor consistency. Traditional registration algorithms based on point clouds are highly dependent on the initial pose.
View Article and Find Full Text PDFInvest Radiol
October 2024
From the Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA (J.S., A.G., F.J.F.); Harvard Medical School, Boston, MA (J.S., A.E.B.C., S.J.S., L.V.S., F.J.F.); Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA (P.M.); Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA (P.M.); Division of Hematology/Oncology, Department of Medicine, Massachusetts General Hospital, Boston, MA (A.E.B.C., L.V.S.); Department of Medicine, MGH Biostatistics, Massachusetts General Hospital, Boston MA (S.J.S.); and Multidisciplinary Thoracic Oncology Program, Baptist Cancer Center, Memphis, TN (R.U.O.).
Purpose: Sybil is a validated publicly available deep learning-based algorithm that can accurately predict lung cancer risk from a single low-dose computed tomography (LDCT) scan. We aimed to study the effect of image reconstruction parameters and CT scanner manufacturer on Sybil's performance.
Materials And Methods: Using LDCTs of a subset of the National Lung Screening Trial participants, which we previously used for internal validation of the Sybil algorithm (test set), we ran the Sybil algorithm on LDCT series pairs matched on kilovoltage peak, milliampere-seconds, reconstruction interval, reconstruction diameter, and either reconstruction filter or axial slice thickness.
ORL J Otorhinolaryngol Relat Spec
October 2023
Department of Plastic and Reconstructive Surgery, Tottori University Hospital, Yonago, Japan.
Introduction: Free jejunal flap (FJF) reconstruction is a standard procedure for pharyngeal and cervical esophageal defects resulting from head and neck cancer resection. However, improvements in patients' quality of life after surgery require a further statistical approach.
Methods: An observational, retrospective, multivariate analysis was designed to report the incidence of postoperative complications and their association with clinical factors in 101 patients who underwent total pharyngo-laryngo-esophagectomy and FJF reconstruction for head and neck cancer at a university hospital between January 2007 and December 2020.
Plast Reconstr Surg Glob Open
April 2023
Sumner M. Redstone Burn Center, Department of Surgery, Massachusetts General Hospital, Boston, Mass.
Unlabelled: Restoration of function and complication management after pharyngolaryngectomy remains a challenging task. The aim of our study was to compare the functional and clinical outcomes of pharyngolaryngeal and pharyngoesophageal reconstruction using free flaps, namely jejunal (FJF), anterolateral thigh, and radial forearm, and describe a reconstructive approach for these defects following tumor resection.
Methods: We performed a systematic literature review on PubMed (Medline), Embase and Cochrane Library over the last two decades for articles reporting the surgical reconstructive modalities available after total or partial pharyngeal and/or laryngeal resection using a structured search strategy and strict inclusion and elimination criteria.
Biomed Opt Express
May 2022
Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China.
Building an in vivo three-dimensional (3D) surface model from a monocular endoscopy is an effective technology to improve the intuitiveness and precision of clinical laparoscopic surgery. This paper proposes a multi-loss rebalancing-based method for joint estimation of depth and motion from a monocular endoscopy image sequence. The feature descriptors are used to provide monitoring signals for the depth estimation network and motion estimation network.
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