Literature DB >> 10873413

Inability of preoperative computed tomography scans to accurately predict the extent of myometrial invasion and extracorporal spread in endometrial cancer.

M J Zerbe1, R Bristow, F C Grumbine, F J Montz.   

Abstract

OBJECTIVE: The purpose of this study was to assess the value of computed tomography (CT) scans in predicting preoperatively the depth of invasion and extrauterine spread in patients with endometrial cancer.
METHODS: The records of 54 patients with endometrial cancer who underwent a preoperative CT scan and surgical treatment (36 of whom had complete surgical staging) were reviewed. Final pathological findings were compared with those of the CT scan. The ability of the CT scan to detect the depth of invasion of the tumor into the myometrium and extrauterine spread was assessed.
RESULTS: The sensitivity of CT scans at predicting the depth of myometrial invasion (none, inner half, outer half) and cervical and parametrial spread was 10, 9, and 17%, respectively, and sensitivity in predicting any degree of myometrial invasion, lymph node metastasis, adnexal involvement, and the presence of malignant cells in peritoneal cytology was 61, 50, 60 and 57%, respectively.
CONCLUSION: CT scan has limited usefulness in determining the depth of myometrial invasion or extent of tumor spread in patients with endometrial cancer. Its routine preoperative use is difficult to justify. Copyright 2000 Academic Press.

Entities:  

Mesh:

Year:  2000        PMID: 10873413     DOI: 10.1006/gyno.2000.5820

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  8 in total

1.  Diagnostic Performance of Computed Tomography for Preoperative Staging of Patients with Non-endometrioid Carcinomas of the Uterine Corpus.

Authors:  Yulia Lakhman; Seth S Katz; Debra A Goldman; Derya Yakar; Hebert A Vargas; Ramon E Sosa; Maura Miccò; Robert A Soslow; Hedvig Hricak; Nadeem R Abu-Rustum; Evis Sala
Journal:  Ann Surg Oncol       Date:  2015-02-10       Impact factor: 5.344

2.  Diagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Casper Reijnen; Joanna IntHout; Leon F A G Massuger; Fleur Strobbe; Heidi V N Küsters-Vandevelde; Ingfrid S Haldorsen; Marc P L M Snijders; Johanna M A Pijnenborg
Journal:  Oncologist       Date:  2019-06-11

3.  An MRI radiomics nomogram improves the accuracy in identifying eligible candidates for fertility-preserving treatment in endometrioid adenocarcinoma.

Authors:  Bi-Cong Yan; Feng-Hua Ma; Ying Li; Yan-Feng Fan; Zhi-Long Huang; Xiao-Liang Ma; Xue-Ting Wen; Jin-Wei Qiang
Journal:  Am J Cancer Res       Date:  2022-03-15       Impact factor: 6.166

Review 4.  Preserving fertility in young patients with endometrial cancer: current perspectives.

Authors:  Eleftheria Kalogera; Sean C Dowdy; Jamie N Bakkum-Gamez
Journal:  Int J Womens Health       Date:  2014-07-29

5.  Preoperative CA-125 in low-grade endometrial cancer: risk stratification and implications for treatment.

Authors:  Janice S Kwon
Journal:  J Gynecol Oncol       Date:  2019-09       Impact factor: 4.401

6.  Fertility-sparing treatment in women with endometrial cancer.

Authors:  Seyeon Won; Mi Kyoung Kim; Seok Ju Seong
Journal:  Clin Exp Reprod Med       Date:  2020-11-10

Review 7.  Machine Learning for Endometrial Cancer Prediction and Prognostication.

Authors:  Vipul Bhardwaj; Arundhiti Sharma; Snijesh Valiya Parambath; Ijaz Gul; Xi Zhang; Peter E Lobie; Peiwu Qin; Vijay Pandey
Journal:  Front Oncol       Date:  2022-07-27       Impact factor: 5.738

Review 8.  A systematic review of tests for lymph node status in primary endometrial cancer.

Authors:  Tara J Selman; Christopher H Mann; Javier Zamora; Khalid S Khan
Journal:  BMC Womens Health       Date:  2008-05-05       Impact factor: 2.809

  8 in total

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