Literature DB >> 25898789

Staging for cervix cancer: Role of radiology, surgery and clinical assessment.

Kailash Narayan1, Ming Yin Lin2.   

Abstract

Staging is necessary in determining the extent of disease, its prognosis and in the formulation of optimal treatment protocols for patients with cancer. Clinical examination of patients and subsequent histopathological assessment when available has traditionally been used to determine the application of different primary and adjuvant treatment modalities. Over the years, surgery, radiotherapy and chemotherapy all have been used either singly or in combinations, and the resulting survival and patterns of failure studies have contributed much in the development of less toxic and more effective protocols. All three modalities of treatments work through separate mechanisms, and they are effective in different stages of cervix cancer. Even within the same stage, the extent of the disease, tumour volume, tissue infiltration and lymph-node metastases requires the use of differing protocols for the disease control. More recently, advances in magnetic resonance imaging (MRI) and positron emission tomography/computerised tomography (PET/CT) have made it possible to examine many of the prognostic factors non-invasively. In addition to clinical assessment, surgical and radiological staging has enabled us to triage patients far more accurately for surgery or for primary radiotherapy, such as unnecessary multimodality treatments are avoided. Only patients with poor prognosis are subjected to a combined modality treatment. Those with poorer prognosis still can be selected for clinical studies exploring new treatment.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CCRT; FIGO; MRI; PET/CT; radiology; staging

Mesh:

Year:  2015        PMID: 25898789     DOI: 10.1016/j.bpobgyn.2015.01.005

Source DB:  PubMed          Journal:  Best Pract Res Clin Obstet Gynaecol        ISSN: 1521-6934            Impact factor:   5.237


  8 in total

Review 1.  The role of para-aortic nodal irradiation in cervical cancer.

Authors:  Adela Poitevin Chacón; Jessica Chavez-Nogueda; Rubí Ramos-Prudencio; Michelle Aline Villavicencio-Queijeiro; Francisco Lozano-Ruiz
Journal:  Rep Pract Oncol Radiother       Date:  2018-10-09

2.  Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy.

Authors:  Stephen R Bowen; William T C Yuh; Daniel S Hippe; Wei Wu; Savannah C Partridge; Saba Elias; Guang Jia; Zhibin Huang; George A Sandison; Dennis Nelson; Michael V Knopp; Simon S Lo; Paul E Kinahan; Nina A Mayr
Journal:  J Magn Reson Imaging       Date:  2017-10-16       Impact factor: 4.813

3.  Hydro-alcoholic Extract of Achillea Wilhelmsii C. Koch Reduces the Expression of Cell Death-Associated Genes while Inducing DNA Damage in HeLa Cervical Cancer Cells.

Authors:  Saman Sargazi; Mahdiyeh Moudi; Omid Kooshkaki; Shekoufeh Mirinejad; Ramin Saravani
Journal:  Iran J Med Sci       Date:  2020-09

4.  Notoginsenoside R7 suppresses cervical cancer via PI3K/PTEN/Akt/mTOR signaling.

Authors:  Li Li; Jin-Xia Sun; Xiao-Qi Wang; Xiao-Kai Liu; Xian-Xiong Chen; Bo Zhang; Zhen-Dan He; Dong-Zhou Liu; Li-Xin Chen; Li-Wei Wang; Zhong Huang
Journal:  Oncotarget       Date:  2017-11-27

5.  Changes in magnetic resonance T2-weighted imaging signal intensity correlate with concurrent chemoradiotherapy response in cervical cancer.

Authors:  Bing Liu; Wan-Ling Ma; Guang-Wen Zhang; Zhen Sun; Jin-Man Zhong; Meng-Qi Wei; Hua Yang; Li-Chun Wei; Yi Huan
Journal:  J Contemp Brachytherapy       Date:  2019-02-28

6.  Surgical staging of para-aortic LN in patients with locally advanced cervix cancer and no evidence of metastases in preoperative PET/CT imaging.

Authors:  Ming Yin Lin; Thomas W Jobling; Kailash Narayan
Journal:  J Gynecol Oncol       Date:  2015-09-23       Impact factor: 4.401

7.  Radical radiotherapy in patients with cervix uteri carcinoma: experience of Ondokuz Mayis University.

Authors:  Alparslan Serarslan; Bilge Gursel; Deniz Meydan; Nilgun Ozbek Okumus
Journal:  BMC Cancer       Date:  2019-12-12       Impact factor: 4.430

8.  A comparison of three methods in categorizing functional status to predict hospital readmission across post-acute care.

Authors:  Chih-Ying Li; Amol Karmarkar; Yong-Fang Kuo; Hemalkumar B Mehta; Trudy Mallinson; Allen Haas; Amit Kumar; Kenneth J Ottenbacher
Journal:  PLoS One       Date:  2020-05-07       Impact factor: 3.752

  8 in total

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