Literature DB >> 8244807

Carcinoma of the cervix: predictive value of clinical and magnetic resonance (MR) imaging assessment of prognostic factors.

H Hricak1, J M Quivey, Z Campos, V Gildengorin, T Hindmarsh, K G Bis, J L Stern, T L Phillips.   

Abstract

PURPOSE: This retrospective study assesses the predictive value of magnetic resonance imaging (MRI) to identify high risk cervical cancer patients. METHODS AND MATERIALS: The MRI evaluation of morphologic risk factors in patients with invasive cervical carcinoma treated with definitive radiation therapy were correlated with clinical factors and with complete tumor regression (CTR) at 6 months, tumor local control (TLC), and patient outcome at 12 months after irradiation. Sixty-six patients, median age 44.5 years, with bulky Stage I or greater disease were included in the study.
RESULTS: In univariate analysis, clinical International Federation of Gynecology and Obstetrics (FIGO) stage had significant correlation with patient outcome, but it correlated poorly with complete tumor regression and tumor local control. In contrast, MRI stage showed significant correlation with complete tumor regression, tumor local control, and disease-free survival at 12 months. When each stage was analyzed separately, the greatest difference was demonstrated between clinical and MRI assignment of stage Ib disease. MRI Stage Ib disease significantly correlated with all three categories analyzed, while clinical Stage Ib did not. Superiority of MRI assessment of low stage disease was also evident in the detection of lymph node metastasis. Significant risk for nodal metastasis was related to tumor size greater than 4 cm, invasion of the parametria and urinary bladder, and stage of the disease.
CONCLUSION: The multivariate analysis demonstrated that the most related variables in order of significance were the presence of juxta-regional and paraaortic lymph nodes, patient age, tumor size, and MRI tumor stage. This study demonstrates the value of MR imaging as an adjunct to clinical assessment of bulky invasive cervical cancer, rendering more complete assessment of morphologic risk factors important in patient prognosis.

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Mesh:

Year:  1993        PMID: 8244807     DOI: 10.1016/0360-3016(93)90451-z

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  9 in total

1.  Magnetic resonance imaging of the pelvis. Better techniques can help determine management and predict outcome.

Authors:  J A Spencer
Journal:  BMJ       Date:  2000-05-27

Review 2.  Role of MR Imaging and FDG PET/CT in Selection and Follow-up of Patients Treated with Pelvic Exenteration for Gynecologic Malignancies.

Authors:  Yulia Lakhman; Stephanie Nougaret; Maura Miccò; Chiara Scelzo; Hebert A Vargas; Ramon E Sosa; Elizabeth J Sutton; Dennis S Chi; Hedvig Hricak; Evis Sala
Journal:  Radiographics       Date:  2015 Jul-Aug       Impact factor: 5.333

3.  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

4.  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

5.  Comparison of tumor regression rate of uterine cervical squamous cell carcinoma during external beam and intracavitary radiotherapy.

Authors:  Kiyoshi Ohara; Yumiko Oishi Tanaka; Akinori Oki; Yoshikazu Okamoto; Toyomi Satoh; Koji Matsumoto; Hiroyuki Yoshikawa
Journal:  Radiat Med       Date:  2008-11-22

6.  The correlation of preoperative CT, MR imaging, and clinical staging (FIGO) with histopathology findings in primary cervical carcinoma.

Authors:  O Ozsarlak; W Tjalma; E Schepens; B Corthouts; B Op de Beeck; E Van Marck; P M Parizel; A M De Schepper
Journal:  Eur Radiol       Date:  2003-06-12       Impact factor: 5.315

Review 7.  The use of MRI in planning radiotherapy for gynaecological tumours.

Authors:  I Barillot; A Reynaud-Bougnoux
Journal:  Cancer Imaging       Date:  2006-06-22       Impact factor: 3.909

8.  Cervical Cancer Staging in Saudi Arabia Clinicoradiological Correlation.

Authors:  Nisreen Anfinan
Journal:  Biomed Res Int       Date:  2019-06-23       Impact factor: 3.411

9.  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
  9 in total

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