Prognostic effect of different cut-off values (20mm, 30mm and 40mm) for clinical tumor size in FIGO stage IB cervical cancer

Turan, Taner; Yildirim, Burcu Aykan; Tulunay, Gökhan; Boran, Nurettin; Köse, Mehmet

doi:10.1016/j.suronc.2009.04.004

Cited by 17 publications

(9 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tumor size, T stage, and histologic type were independent predictors of postoperative distant metastasis in cervical cancer patients. A previous study indicated that a tumor size larger than 4 cm increased the risk of recurrence in cervical cancer patients [ 37 ]. Our results indicated that tumor size ≥4 cm was a predictor of increased distant metastasis in cervical cancer patients after surgery.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Nomogram for Predicting Postoperative Distant Metastasis in Patients with Cervical Cancer

et al. 2022

View full text Add to dashboard Cite

Background Cervical cancer is the fourth most commonly diagnosed malignant neoplasm among women worldwide. Despite improvements in treatment, the rate of postoperative metastasis remains a problem. Nomograms have been used to predict risk of tumor metastasis. We designed a nomogram to predict postoperative distant metastasis among cervical cancer patients, based on the SEER database, and estimated the performance of the nomogram by internal and external validations. Material/Methods We included 6421 participants and divided them into training (n=4495) and testing (n=1926) sets. Multivariate logistic regression was used to explore predictors. The nomogram’s predictive value was assessed by internal (testing set) and external (561 Chinese patients) validations. The receiver operating characteristic curve (ROC) was plotted, and the area under the curve (AUC) value was calculated to evaluate the nomogram’s discrimination. The nomogram’s calibration was assessed via the Hosmer-Lemeshow test and calibration curve. Results Histologic type, T stage, treatment, tumor size, and positive lymph node were identified as independent predictors of postoperative distant metastasis in surgical patients ( P <0.05). The developed nomogram had an AUC of 0.866 (95% CI: 0.844 to 0.888). The AUC and the chi-square for the Hosmer-Lemeshow test of the nomogram were 0.847 (95% CI: 0.807 to 0.888) and 11.292, respectively, ( P >0.05) in the internal validation, and were 0.626 (95% CI: 0.548 to 0.704) and 316.53, respectively, ( P <0.05) in the external validation. Conclusions Our nomogram showed a good predictive performance for postoperative distant metastasis in cervical cancer patients based on the SEER database. It remains to be determined if it is applicable to other populations.

show abstract

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Nomogram for Predicting Postoperative Distant Metastasis in Patients with Cervical Cancer

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Tumour size is strongly correlated with recurrence and survival in cervical cancer after radical hysterectomy (Delgado et al , 1989; Bansal et al , 2009; Turan et al , 2010; Garg et al , 2011; Chang et al , 2012) (Tables 3, 4). In general, 2CM is correlated with an increased risk of recurrence (Delgado et al , 1989; Chang et al , 2012), but our study and others indicate that 3CM is better correlated with recurrence (Table 5).…”

Section: Discussionmentioning

confidence: 99%

Intermediate-risk grouping of cervical cancer patients treated with radical hysterectomy: a Korean Gynecologic Oncology Group study

et al. 2013

View full text Add to dashboard Cite

Background:In this study, we sought to identify a criterion for the intermediate-risk grouping of patients with cervical cancer who exhibit any intermediate-risk factor after radical hysterectomy.Methods:In total, 2158 patients with pathologically proven stage IB–IIA cervical cancer with any intermediate-risk factor after radical hysterectomy were randomly assigned to two groups, a development group and a validation group, at a ratio of 3 : 1 (1620 patients:538 patients). To predict recurrence, multivariate models were developed using the development group. The ability of the models to discriminate between groups was validated using the log-rank test and receiver operating characteristic (ROC) analysis.Results:Four factors (histology, tumour size, deep stromal invasion (DSI), and lymphovascular space involvement (LVSI)) were significantly associated with disease recurrence and included in the models. Among the nine possible combinations of the four variables, models consisting of any two of the four intermediate-risk factors (tumour size ⩾3 cm, DSI of the outer third of the cervix, LVSI, and adenocarcinoma or adenosquamous carcinoma histology) demonstrated the best performance for predicting recurrence.Conclusion:This study identified a ‘four-factor model' in which the presence of any two factors may be useful for predicting recurrence in patients with cervical cancer treated with radical hysterectomy.

show abstract

“…LVSI involvement [8,9], DOI > 1/2 [8,10], parametrial microinvasion [1,8,[11][12][13], LN metastasis [8,10,12], and vaginal margin involvement [12] are significantly more frequent in stage IB1 CC patients with a tumor diameter ≥ 2 cm than in those with smaller tumors. Although parametrial invasion [10] and positive vaginal margin involvement [5,8,10] were more frequently associated with tumors ≥ 2 cm in diameter, some studies indicated no significant differences according to tumor size. Studies evaluating microinvasion observed during radical resection of the parametrium, which is the primary aim of radical surgery, showed that tumor size was an independent predictor of parametrial spread according to regression analyses [1,3,14].…”

Section: Discussionmentioning

confidence: 99%

Stage IB1 cervical cancer treated with modified radical or radical hysterectomy: does size determine risk factors?

et al. 2018

View full text Add to dashboard Cite

show abstract

Prognostic effect of different cut-off values (20mm, 30mm and 40mm) for clinical tumor size in FIGO stage IB cervical cancer

Cited by 17 publications

References 18 publications

Development and Validation of a Nomogram for Predicting Postoperative Distant Metastasis in Patients with Cervical Cancer

Development and Validation of a Nomogram for Predicting Postoperative Distant Metastasis in Patients with Cervical Cancer

Intermediate-risk grouping of cervical cancer patients treated with radical hysterectomy: a Korean Gynecologic Oncology Group study

Stage IB1 cervical cancer treated with modified radical or radical hysterectomy: does size determine risk factors?

Contact Info

Product

Resources

About