• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Reviewers
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Suez Canal University Medical Journal
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 26 (2023)
Issue Issue 1
Volume Volume 25 (2022)
Volume Volume 24 (2021)
Volume Volume 23 (2020)
Volume Volume 22 (2019)
Volume Volume 21 (2018)
Volume Volume 20 (2017)
Volume Volume 19 (2016)
Volume Volume 18 (2015)
Volume Volume 17 (2014)
Volume Volume 16 (2013)
Volume Volume 15 (2012)
Volume Volume 14 (2011)
Volume Volume 13 (2010)
Fathy, H., Hussin, M., AboBakr, A., El-Kammash, S., Gomaa, A. (2023). Evaluation of Sentinel Lymph Node Mapping in Uterine Cancer Staging. Suez Canal University Medical Journal, 26(1), 70-75. doi: 10.21608/scumj.2023.287284
Hamada Fathy; Mahmoud Hussin; Ahmed AboBakr; Solimam El-Kammash; Ahmed M. Gomaa. "Evaluation of Sentinel Lymph Node Mapping in Uterine Cancer Staging". Suez Canal University Medical Journal, 26, 1, 2023, 70-75. doi: 10.21608/scumj.2023.287284
Fathy, H., Hussin, M., AboBakr, A., El-Kammash, S., Gomaa, A. (2023). 'Evaluation of Sentinel Lymph Node Mapping in Uterine Cancer Staging', Suez Canal University Medical Journal, 26(1), pp. 70-75. doi: 10.21608/scumj.2023.287284
Fathy, H., Hussin, M., AboBakr, A., El-Kammash, S., Gomaa, A. Evaluation of Sentinel Lymph Node Mapping in Uterine Cancer Staging. Suez Canal University Medical Journal, 2023; 26(1): 70-75. doi: 10.21608/scumj.2023.287284

Evaluation of Sentinel Lymph Node Mapping in Uterine Cancer Staging

Article 8, Volume 26, Issue 1, January 2023, Page 70-75  XML PDF (355.69 K)
Document Type: Original Article
DOI: 10.21608/scumj.2023.287284
Authors
Hamada Fathy; Mahmoud Hussin email ; Ahmed AboBakr; Solimam El-Kammash; Ahmed M. Gomaa
Department of Surgery, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
Abstract
Background: Lymphatic mapping recently emerged as a promising new strategy and is increasingly being adopted by gynecologic oncology practices worldwide. The sentinel lymph node is a technique used to properly detect nodal metastases hence improving staging accuracy with the subsequent proper application of adjuvant therapy. Aim: to evaluate of the accuracy of sentinel lymph node biopsy using a patant blue dye in endometrial and cervical malignancies. Patients and Methods: Twenty-six patients, diagnosed with endometrial cancers stage (I/II) by MRI, and three patients, diagnosed with cervical cancers stage (Ia/IIa) by MRI, were enrolled in the study. Results: Sentinel lymph node(s) were successfully identified in 18 patients (69.2%) with endometrial carcinoma and one case with cancer cervix. The sensitivity of sentinel Lymph node mapping in the detection of lymph node metastasis was 100% with a negative predictive value of 100% and 0% false negative rate. There was a statistically significant inverse relation between sentinel lymph node detection and tumor grading. There was a statistically significant relation between sentinel lymph node detection and both cervical involvement and positive lymph node metastasis. Conclusion: Sentinel Lymph node mapping in cases of early-stage endometrial cancer is a good option to avoid overtreatment with unnecessary removal of more lymph nodes, which may result in an increase in perioperative adverse effects.
 
Keywords
Sentinel Lymph Node; Lymphatic Mapping; Endometrial Carcinoma; Cancer cervix
Main Subjects
Clinical Research (Surgical)
Statistics
Article View: 24
PDF Download: 21
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.