Literature DB >> 8175451

The influence of tumor size and morphology on the outcome of patients with FIGO stage IB squamous cell carcinoma of the uterine cervix.

P J Eifel1, M Morris, J T Wharton, M J Oswald.   

Abstract

PURPOSE: To define the influence of tumor size and morphology on rates of central tumor control (CTC), pelvic tumor control (PTC), and disease-specific survival (DSS) in patients treated with radiotherapy for squamous cell carcinoma of the intact uterine cervix. METHODS AND MATERIALS: Records of 1526 patients treated with radiotherapy for FIGO Stage IB squamous cell carcinoma of the intact uterine cervix between 1960 and 1989 were retrospectively reviewed. The maximum tumor or cervical diameter was determined from clinical descriptions for 1494 patients. Tumors were divided into nine size categories. Tumors > or = 4 cm were further classified according to the dominant morphology (i.e., exophytic or endocervical). Median follow-up was 12.2 years. Five-year CTC, PTC, and DSS rates were calculated actuarially.
RESULTS: CTC, PTC, and DSS rates correlated strongly with tumor diameter (p < 0.0001). Overall, CTC, PTC, and DSS rates for patients with tumors < 5 cm were 99%, 97%, and 88%, respectively. For patients with tumors 5-7.9 cm these rates were 93%, 84%, and 69%, respectively. There were no significant differences in the rates of PTC, CTC, or DSS between subgroups of patients with lesions 5-7.9 cm in diameter. The rates of CTC (97%) and DSS (76%) for patients with 5-7.9 cm exophytic tumors were significantly better than those for patients with endocervical tumors of the same size (91% and 66%, respectively); there was no difference in the PTC rate.
CONCLUSION: Although the CTC rates were excellent for all patients with tumors < 8 cm in diameter, these rates for tumors < 5 cm (99%) and for exophytic tumors 5-7.9 cm (97%) make it difficult to justify the use of adjuvant hysterectomy. Although patients with tumors of 5-7.9 cm had consistently poorer PTC and DSS rates than did patients with smaller tumors, the control rates achieved with aggressive radiotherapy were still excellent. The strong correlation between tumor size and outcome suggests that tumor diameter should be assessed when tumors are clinically evaluated and staged and when treatment results are reported for patients with FIGO Stage IB carcinoma of the uterine cervix.

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Year:  1994        PMID: 8175451     DOI: 10.1016/0360-3016(94)90220-8

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


  43 in total

1.  Molecular biomarkers in the decision of treatment of cervical carcinoma patients.

Authors:  A Valenciano; L A Henríquez-Hernández; M Lloret; B Pinar; P C Lara
Journal:  Clin Transl Oncol       Date:  2013-02-22       Impact factor: 3.405

Review 2.  Hypoxia and anaemia in patients with cancer of the uterine cervix.

Authors:  Francisco José Andreu-Martínez; Julia M Martínez-Mateu
Journal:  Clin Transl Oncol       Date:  2005-09       Impact factor: 3.405

3.  Characterizing tumor heterogeneity with functional imaging and quantifying high-risk tumor volume for early prediction of treatment outcome: cervical cancer as a model.

Authors:  Nina A Mayr; Zhibin Huang; Jian Z Wang; Simon S Lo; Joline M Fan; John C Grecula; Steffen Sammet; Christina L Sammet; Guang Jia; Jun Zhang; Michael V Knopp; William T C Yuh
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-12-28       Impact factor: 7.038

4.  The safety and efficacy of the preoperative neoadjuvant chemotherapy for patients with cervical cancer: a systematic review and meta analysis.

Authors:  Du He; Chunyan Duan; Jun Chen; Lin Lai; Jiaquan Chen; Dian Chen
Journal:  Int J Clin Exp Med       Date:  2015-09-15

5.  Clinical significance of tumor volume and lymph node involvement assessed by MRI in stage IIB cervical cancer patients treated with concurrent chemoradiation therapy.

Authors:  Dae Woo Lee; Young Tae Kim; Jae Hoon Kim; Sunghoon Kim; Sang Wun Kim; Eun Ji Nam; Jae Wook Kim
Journal:  J Gynecol Oncol       Date:  2010-03-31       Impact factor: 4.401

6.  Predicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancer.

Authors:  William T C Yuh; Nina A Mayr; David Jarjoura; Dee Wu; John C Grecula; Simon S Lo; Susan M Edwards; Vincent A Magnotta; Steffen Sammet; Hualin Zhang; Joseph F Montebello; Jeffrey Fowler; Michael V Knopp; Jian Z Wang
Journal:  Invest Radiol       Date:  2009-06       Impact factor: 6.016

Review 7.  Image-based brachytherapy for cervical cancer.

Authors:  John A Vargo; Sushil Beriwal
Journal:  World J Clin Oncol       Date:  2014-12-10

8.  Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction.

Authors:  Zhibin Huang; Kevin A Yuh; Simon S Lo; John C Grecula; Steffen Sammet; Christina L Sammet; Guang Jia; Michael V Knopp; Qiang Wu; Norman J Beauchamp; William T C Yuh; Roy Wang; Nina A Mayr
Journal:  Magn Reson Imaging       Date:  2014-08-29       Impact factor: 2.546

9.  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

10.  Clinical determinants of survival from stage Ib cervical cancer in an inner-city hospital.

Authors:  W W Thoms; E R Unger; R Carisio; R Nisenbaum; C O Spann; I R Horowitz; W C Reeves
Journal:  J Natl Med Assoc       Date:  1998-05       Impact factor: 1.798

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