Literature DB >> 11112809

MR imaging of cervical carcinoma: a practical staging approach.

V Nicolet1, L Carignan, F Bourdon, O Prosmanne.   

Abstract

Cervical carcinoma is the third most common gynecologic malignancy and is typically seen in younger women, often with serious consequences. The International Federation of Gynecology and Obstetrics (FIGO) staging system provides worldwide epidemiologic and treatment response statistics. However, there are significant inaccuracies in the FIGO staging system, and magnetic resonance (MR) imaging, although not included in that system, is now widely accepted as optimal for evaluation of important prognostic factors such as lesion volume and metastatic lymph node involvement that will help determine the treatment strategy. MR imaging examination obviates the use of invasive procedures such as cystoscopy and proctoscopy, especially when there is no evidence of local extension. Brachytherapy and external beam therapy are optimized with MR imaging evaluation of the shape and direction of lesion growth. In general, T2-weighted MR imaging more clearly delineates cervical carcinoma and is preferred for evaluation of the lymph nodes. Dynamic gadolinium-enhanced T1-weighted imaging may help identify smaller tumors, detect or confirm invasion of adjacent organs, and identify fistulous tracts. MR imaging staging, when available, is invaluable for identifying important prognostic factors and optimizing treatment strategies.

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Year:  2000        PMID: 11112809     DOI: 10.1148/radiographics.20.6.g00nv111539

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  25 in total

1.  Cervical cancer: MR imaging findings before, during, and after radiation therapy.

Authors:  Gulgun Engin
Journal:  Eur Radiol       Date:  2005-06-14       Impact factor: 5.315

2.  Size assessment of breast lesions by means of a computer-aided detection (CAD) system for magnetic resonance mammography.

Authors:  G Levrini; R Sghedoni; C Mori; A Botti; R Vacondio; A Nitrosi; M Iori; F Nicoli
Journal:  Radiol Med       Date:  2011-03-19       Impact factor: 3.469

3.  Contribution of mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging in the diagnosis and differentiation of uterine cervical carcinoma.

Authors:  Meng Lin; Xiaoduo Yu; Yan Chen; Han Ouyang; Bing Wu; Dandan Zheng; Chunwu Zhou
Journal:  Eur Radiol       Date:  2016-09-27       Impact factor: 5.315

4.  Diagnostic performance of fluorodeoxyglucose positron emission tomography/magnetic resonance imaging fusion images of gynecological malignant tumors: comparison with positron emission tomography/computed tomography.

Authors:  Kazuya Nakajo; Mitsuaki Tatsumi; Atsuo Inoue; Kayako Isohashi; Ichiro Higuchi; Hiroki Kato; Masao Imaizumi; Takayuki Enomoto; Eku Shimosegawa; Tadashi Kimura; Jun Hatazawa
Journal:  Jpn J Radiol       Date:  2010-02-26       Impact factor: 2.374

5.  Cervical cancer in pregnant women: treat, wait or interrupt? Assessment of current clinical guidelines, innovations and controversies.

Authors:  Sileny N Han; Mina Mhallem Gziri; Kristel Van Calsteren; Frédéric Amant
Journal:  Ther Adv Med Oncol       Date:  2013-07       Impact factor: 8.168

6.  Localized cervical cancer (stage <IIB): accuracy of MR imaging in planning less extensive surgery.

Authors:  R Manfredi; B Gui; A Giovanzana; S Marini; M Di Stefano; G Zannoni; G Scambia; L Bonomo
Journal:  Radiol Med       Date:  2009-05-14       Impact factor: 3.469

7.  MR imaging features and staging of neuroendocrine carcinomas of the uterine cervix with pathological correlations.

Authors:  Xiaohui Duan; Xiaohua Ban; Xiang Zhang; Huijun Hu; Guozhao Li; Dongye Wang; Charles Qian Wang; Fang Zhang; Jun Shen
Journal:  Eur Radiol       Date:  2016-03-19       Impact factor: 5.315

8.  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

Review 9.  Diffusion weighted imaging in gynecological malignancies - present and future.

Authors:  Dinesh Manoharan; Chandan J Das; Ankita Aggarwal; Arun K Gupta
Journal:  World J Radiol       Date:  2016-03-28

Review 10.  Role of diffusion-weighted imaging in the diagnosis of gynecological diseases.

Authors:  Tomohiro Namimoto; Kazuo Awai; Takeshi Nakaura; Yumi Yanaga; Toshinori Hirai; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2008-10-07       Impact factor: 5.315

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