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. 2021 Jul 15;11:704039. doi: 10.3389/fonc.2021.704039

Table 4.

Related studies and strategies of BCa recurrence risk prediction during the past 20 years.

Study Patient Treatment Follow-up/years Predictionmodel Findings Conclusion
Sylvester et al., 2006 (118) 2596 NMIBC patients from 7 EORTC trials TURBT + Intravesical treatment (78.4% of the patients) Median follow-up of 3.9 years and maximum follow-up of 14.8 years Univariate and multivariate analyses The EORTC risk table was derived based on the number and size of tumors, prior recurrence rate, T category, carcinoma in situ, and grade. EORTC risk table is a useful tool for the urologist to discuss the different options with the patient to determine the most appropriate treatment and frequency of follow-up.
Fernandez et al., 2009 (8) 1062 NMIBC patients from 4 CUETO trials TURBT + BCG with 12 instillations 5 years Univariate and multivariate analyses The CUETO risk table was developed using gender, age, grade, tumor status, multiplicity and associated Tis. The recurrence risks calculated by the CUETO table were lower than those obtained with EROTC table.
Seo et al., 2010 (122) 251 patients from single center TURBT + full-doze maintenance BCG 5 years and 9 months EORTC C-index: 0.62 The recurrence rate and progression rate were almost similar to the EORTC risk tables. However, the recurrence rate was low in the intermediate-risk group.
Xylinas et al., 2013 (120) 4784 patients from 8 centers TURBT +51% cohort of immediate single postoperative chemotherapy + 11% cohort of BCG 4 years and 9 months EORTC, CUETO C-index: 0.60, 0.52 Both models exhibited poor discrimination. Specific biomarkers should be exploited for improving the performance.
Xu et al., 2013 (48) 363 NMIBC patients from single center TURBT +79% cohort of immediate single postoperative chemotherapy + 100% cohort of the entire course of intravesical chemotherapy 3 years EORTC, CUETO C-Index: 0.71, 0.66 The EORTC model showed more value in predicting recurrence and progression in patients with NMIBC.
Kohjimoto et al., 2014 (121) 366 NMIBC patients from single center TURBT + BCG 5 years EORTC, CUETO C-index: 0.51, 0.58 Although both exhibited poorly for recurrence prediction, CUETO was a little better.
Vedder et al., 2014 (35) 1892 NMIBC patients from 18 centers TURBT +13~22% cohort of the entire course of intravesical chemotherapy+17~30% cohort of BCG + 0.55~0.61% cohort of Re-TURBT 10 years EORTC, CUETO C-index: 0.56-0.59,
0.64-0.72
The discriminatory ability for BCa recurrence was unsatisfactory.
Cambier et al., 2016 (10) 1812 NMIBC patients from 2 EORTC trials TURBT + 1~3 years of maintenance BCG 7 years 5 months Updated EORTC C-index: 0.59. NMIBC patients treated with1~3 years of maintenance BCG had a heterogeneous prognosis among the high-risk patients, and early cystoscopy should be considered.
Dalkilic et al., 2018 (119) 400 NMIBC patients from single center TURBT + BCG (45.3% of the patients) 5 years EORTC, CUETO C-index: 0.777, 0.703 EORTC risk table was better than the CUETO table for the recurrence prediction.
Kim et al., 2019 (35) 970 NMIBC patients from single center TURBT + BCG 5 years New model, EORTC AUC: 0.65, 0.56 The new model developed by using gross hamartia, previous or concomitant upper urinary tract urothelial carcinoma, stage, grade, number of tumors, intravesical treatment performed better than the EORTC risk table.
Yajima et al., 2019 (48) 91 NMIBC patients from single center TURBT 5 years Inchworm sign (tumor stalk) on the DWI and ADC images The progression rate of inchworm-sign-negative cases was significantly higher than that of inchworm-sign-positive cases, whereas there was no significant difference in the recurrence rate between two groups. The absence of an inchworm sign and histological grade 3 were independent risk factors for progression.
Xu et al., 2019 (61) 71 patients including 36 NMIBC patients and 35 MIBC patients
from single center
TURBT for the NMIBC patients and RC for the MIBC patients 2 years Radiomics nomogram developed based on the radiomics features extracted from T2WI, DWI, ADC, and DCE MRI data, and the clinical risk factors The proposed radiomics nomogram exhibited good performance both in the training cohort (AUC: 0.915) and the validation cohort (AUC: 0.838) for the prediction of the BCa recurrence during 2 years after operation. The proposed radiomics-clinical nomogram has potential in the preoperative prediction