Literature DB >> 7355948

Prognosis and treatment of endometrial cancer.

M L Berman, S C Ballon, L D Lagasse, W G Watring.   

Abstract

An understanding of the patterns of spread and prognostic factors influencing survival is necessary to develop rational treatment programs for patients with endometrial cancer. The most important risk factors include the stage of tumor, status of pelvic lymph nodes, depth of myometrial penetration, tumor grade, cell type, and patient age. Because of the inherent inaccuracies of staging based on pelvic examination and the inability to assess the status of lymph nodes or myometrial penetration clinically, errors in management often result when radiation therapy is delivered prior to operation. Therefore, a rationale is offered for primary operative management of patients with Stage I disease, with consideration of adjunctive radiation therapy following operation based on extend of disease and a thorough evaluation of the high-risk factors. It is suggested that patients with more advanced stages of disease be considered for pretreatment operative evaluation. Data are presented which refute theoretical objections to this approach.

Entities:  

Mesh:

Year:  1980        PMID: 7355948     DOI: 10.1016/0002-9378(80)91024-8

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  13 in total

Review 1.  Predictive value of T2-weighted imaging and contrast-enhanced MR imaging in assessing myometrial invasion in endometrial cancer: a pooled analysis of prospective studies.

Authors:  Lian-Ming Wu; Jian-Rong Xu; Hai-Yan Gu; Jia Hua; E Mark Haacke; Jiani Hu
Journal:  Eur Radiol       Date:  2012-08-04       Impact factor: 5.315

2.  Limited utility of magnetic resonance imaging in determining the primary site of disease in patients with inconclusive endometrial biopsy.

Authors:  Pedro T Ramirez; Michael Frumovitz; Michael R Milam; Michael Deavers; Ricardo dos Reis; Revathy B Iyer; Priya Bhosale; Kathleen M Schmeler
Journal:  Int J Gynecol Cancer       Date:  2010-11       Impact factor: 3.437

3.  Association of Tumor Size With Prognosis in Patients With Resectable Endometrial Cancer: A SEER Database Analysis.

Authors:  Xuefei Hou; Suru Yue; Jie Liu; Zhiqing Qiu; Liming Xie; Xueying Huang; Shasha Li; Liren Hu; Jiayuan Wu
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

4.  Preoperative PET/CT standardized FDG uptake values of pelvic lymph nodes as a significant prognostic factor in patients with endometrial cancer.

Authors:  Hyun Hoon Chung; Gi Jeong Cheon; Hee Seung Kim; Jae Weon Kim; Noh-Hyun Park; Yong Sang Song
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-04-29       Impact factor: 9.236

5.  Necessity of radical hysterectomy for endometrial cancer patients with cervical invasion.

Authors:  Taek Sang Lee; Jae Weon Kim; Dae Yeon Kim; Young Tae Kim; Ki Heon Lee; Byoung Gie Kim; D Scott McMeekin
Journal:  J Korean Med Sci       Date:  2010-03-19       Impact factor: 2.153

6.  The preoperative SUVmax is superior to ADCmin of the primary tumour as a predictor of disease recurrence and survival in patients with endometrial cancer.

Authors:  Keiichiro Nakamura; Ikuo Joja; Chikako Fukushima; Tomoko Haruma; Chiaki Hayashi; Tomoyuki Kusumoto; Noriko Seki; Atsushi Hongo; Yuji Hiramatsu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-09-12       Impact factor: 9.236

7.  Optimization of MR imaging for pretreatment evaluation of patients with endometrial and cervical cancer.

Authors:  Gaiane M Rauch; Harmeet Kaur; Haesun Choi; Randy D Ernst; Ann H Klopp; Piyaporn Boonsirikamchai; Shannon N Westin; Leonardo P Marcal
Journal:  Radiographics       Date:  2014 Jul-Aug       Impact factor: 5.333

8.  MR imaging in endometrial carcinoma as a diagnostic tool for the prediction of myometrial invasion and lymph node metastasis.

Authors:  Ui Nam Ryoo; Chel Hun Choi; Ji Yeong Yoon; Soo Kyung Noh; Heeseok Kang; Woo Young Kim; Boh Hyun Kim; Tae-Joong Kim; Jeong-Won Lee; Je-Ho Lee; Byoung-Gie Kim; Duk-Soo Bae
Journal:  Cancer Res Treat       Date:  2007-12-31       Impact factor: 4.679

9.  Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Atsushi Tani; Hidehiko Kikuno; Daisuke Hirahara; Shinichi Togami; Hiroaki Kobayashi; Takashi Yoshiura
Journal:  Mol Imaging Biol       Date:  2021-03-24       Impact factor: 3.488

10.  MR staging in carcinoma of the endometrium and carcinoma of the cervix.

Authors:  M V Pakkal; V Rudralingam; W G McCluggage; B E Kelly
Journal:  Ulster Med J       Date:  2004-05
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