Literature DB >> 2703168

Magnetic resonance imaging in cervical cancer: a basis for objective classification.

E Burghardt1, H M Hofmann, F Ebner, J Haas, K Tamussino, E Justich.   

Abstract

Conventional clinical staging of cervical cancer is subjective because it is based on palpatory findings and inadequate because it cannot assess the single most important prognostic factor--tumor size. To determine the exactitude of in vivo MRI measurements of tumor volume, 22 patients with invasive cervical cancer were studied before surgery. The volumes obtained by MRI correlated well (r = 0.983) with those obtained by histomorphometric analysis of the surgical specimens, but only weakly with clinical stage. MRI may provide a basis for precise classification of cervical cancer and for objective comparison of surgery and radiotherapy.

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Year:  1989        PMID: 2703168     DOI: 10.1016/0090-8258(89)90604-5

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


  8 in total

1.  Volume Measurement by Diffusion-Weighted Imaging in Cervical Cancer.

Authors:  Shinya Fujii; Naoki Iwata; Chie Inoue; Naoko Mukuda; Takeru Fukunaga; Toshihide Ogawa
Journal:  Yonago Acta Med       Date:  2017-06-26       Impact factor: 1.641

2.  Sequential magnetic resonance imaging of cervical cancer: the predictive value of absolute tumor volume and regression ratio measured before, during, and after radiation therapy.

Authors:  Jian Z Wang; Nina A Mayr; Dongqing Zhang; Kaile Li; John C Grecula; Joseph F Montebello; Simon S Lo; William T C Yuh
Journal:  Cancer       Date:  2010-11-01       Impact factor: 6.860

3.  Vaginal delivery of paclitaxel via nanoparticles with non-mucoadhesive surfaces suppresses cervical tumor growth.

Authors:  Ming Yang; Tao Yu; Ying-Ying Wang; Samuel K Lai; Qi Zeng; Bolong Miao; Benjamin C Tang; Brian W Simons; Laura M Ensign; Guanshu Liu; Kannie W Y Chan; Chih-Yin Juang; Olcay Mert; Joseph Wood; Jie Fu; Michael T McMahon; T-C Wu; Chien-Fu Hung; Justin Hanes
Journal:  Adv Healthc Mater       Date:  2013-12-16       Impact factor: 9.933

4.  Ultra-early predictive assay for treatment failure using functional magnetic resonance imaging and clinical prognostic parameters in cervical cancer.

Authors:  Nina A Mayr; William T C Yuh; David Jajoura; Jian Z Wang; Simon S Lo; Joseph F Montebello; Kyle Porter; Dongqing Zhang; D Scott McMeekin; John M Buatti
Journal:  Cancer       Date:  2010-02-15       Impact factor: 6.860

5.  Translating response during therapy into ultimate treatment outcome: a personalized 4-dimensional MRI tumor volumetric regression approach in cervical cancer.

Authors:  Nina A Mayr; Jian Z Wang; Simon S Lo; Dongqing Zhang; John C Grecula; Lanchun Lu; Joseph F Montebello; Jeffrey M Fowler; William T C Yuh
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-07-23       Impact factor: 7.038

6.  Imaging across the life span: innovations in imaging and therapy for gynecologic cancer.

Authors:  Meng Xu-Welliver; William T C Yuh; Julia R Fielding; Katarzyna J Macura; Zhibin Huang; Ahmet S Ayan; Floor J Backes; Guang Jia; Mariam Moshiri; Jun Zhang; Nina A Mayr
Journal:  Radiographics       Date:  2014 Jul-Aug       Impact factor: 5.333

7.  Predicting outcomes in cervical cancer: a kinetic model of tumor regression during radiation therapy.

Authors:  Zhibin Huang; Nina A Mayr; William T C Yuh; Simon S Lo; Joseph F Montebello; John C Grecula; Lanchun Lu; Kaile Li; Hualin Zhang; Nilendu Gupta; Jian Z Wang
Journal:  Cancer Res       Date:  2010-01-12       Impact factor: 12.701

8.  Method of tumor volume evaluation using magnetic resonance imaging for outcome prediction in cervical cancer treated with concurrent chemotherapy and radiotherapy.

Authors:  Hun Jung Kim; Woochul Kim
Journal:  Radiat Oncol J       Date:  2012-06-30
  8 in total

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