scholarly journals Recurrence of borderline ovarian tumors: clinical and pathological risk factors

2021 ◽  
Vol 42 (3) ◽  
pp. 580
2001 ◽  
Vol 83 (3) ◽  
pp. 575-585 ◽  
Author(s):  
Tomas Riman ◽  
Paul W. Dickman ◽  
Staffan Nilsson ◽  
Nestor Correia ◽  
Hans Nordlinder ◽  
...  

2014 ◽  
Vol 24 (7) ◽  
pp. 1206-1214 ◽  
Author(s):  
Taejong Song ◽  
Yoo-Young Lee ◽  
Chel Hun Choi ◽  
Tae-Joong Kim ◽  
Jeong-Won Lee ◽  
...  

ObjectiveThe aim of this study was to identify risk factors for progression to invasive carcinoma in patients with borderline ovarian tumors (BOTs).MethodsWe performed a retrospective review of all patients treated and followed for BOTs between 1996 and 2011. Multivariate Cox proportional hazards model analysis was performed to identify independent risk factors for progression to invasive carcinoma.ResultsA total of 364 patients were identified. During the median follow-up of 53.8 months, 31 patients (8.5%) developed recurrent disease: 12 (3.3%) had recurrent disease with progression to invasive carcinoma, and 19 (5.2%) had recurrent disease with borderline histology. Disease-related deaths (7/364; 1.7%) were observed only in patients with progression to invasive carcinoma. The multivariate analysis showed that independent risk factors for progression to invasive carcinoma were advanced disease stage (hazard ratio [HR], 5.59;P= 0.005), age 65 years or older (HR, 5.13;P= 0.037), and the presence of microinvasion (HR, 3.71;P= 0.047). These 3 factors were also independently related to overall survival.ConclusionsAlthough patients with BOTs have an excellent prognosis, the risk of progression to invasive carcinoma and thereby death remains. Therefore, physicians should pay closer attention to BOT patients with these risk factors (ie, advanced disease stage, old age, and microinvasion), and more careful surveillance for progression to invasive carcinoma is needed.


2018 ◽  
Vol 28 (9) ◽  
pp. 1643-1649 ◽  
Author(s):  
Li Sun ◽  
Ning Li ◽  
Yan Song ◽  
Guixiang Wang ◽  
Zitong Zhao ◽  
...  

ObjectiveThis study aimed to evaluate the clinicopathologic features of mucinous borderline ovarian tumors (MBOTs), with an emphasis on the risk factors for recurrence.MethodsData of 76 patients with MBOT diagnosed and treated between 2000 and 2007 at a single institution were analyzed in this retrospective study. The clinicopathologic features of different tumor subgroups were analyzed, including pathology, surgical methodology, recurrence, and overall survival.ResultsThe median patient age was 40 years (13–85 years). Forty-six patients with gastrointestinal mucinous borderline tumors (intestinal MBOTs) (73.7%) and 20 patients with endocervical MBOT (26.3%) were identified. Forty radical surgeries and 26 conservative surgeries were performed. There were 74.6% patients (50/67) with stage I disease among the 67 patients who received comprehensive surgical staging.During a median follow-up time of 151 months, 9 recurrences were identified. Median duration from surgery to recurrence was 26.4 months (range, 13–50 months). There was no difference in recurrence rate between intestinal MBOT and endocervical MBOT (14.3% vs 5.0%; P > 0.05). The recurrence rate of stage III tumors was significantly higher than that of stage I (33.3% vs 8%; P < 0.05). The recurrence rate after conservative surgery was higher than that after radical procedures (21.4% vs 6.3%; P < 0.05).ConclusionsThe majority of patients with MBOT had a favorable prognosis. Patients with later-stage disease had a higher recurrence rate.


2020 ◽  
Author(s):  
Eva SANGNIER ◽  
Lobna OULDAMER ◽  
Sofiane BENDIFALLAH ◽  
Cyrille HUCHON ◽  
Pierre COLLINET ◽  
...  

2016 ◽  
Vol 26 (6) ◽  
pp. 1053-1061 ◽  
Author(s):  
Piotr Sobiczewski ◽  
Jolanta Kupryjanczyk ◽  
Wojciech Michalski ◽  
Beata Śpiewankiewicz

ObjectiveThe goal was to analyze the risk factors of relapse and to compare the type of recurrence in patients with borderline tumors treated and followed up in Oncologic Center in Warsaw.Materials and MethodsThis is a retrospective–prospective cohort study of 307 patients with confirmed borderline ovarian tumors treated in the Maria Sklodowska-Curie Memorial Cancer Center in Warsaw between 1994 and 2010. Univariate and multivariate analysis as well as Kaplan–Meier estimates were used to explore the impact of different covariates on progression-free survival. The analysis included the following potential prognostic factors: age, CA 125 value, stage according to classification of the International Federation of Gynecology and Obstetrics (FIGO), methods and radicality of operation, staging, tumor capsule rupture, histopathology, implants, ascites, and microinvasion. The analysis of relapses was also performed.ResultsUnivariate analysis showed the negative impact of 2 factors on progression-free survival: FIGO II/III (implants) (P = 0.011) and ascites (P = 0.027). The multivariate analyses showed the detrimental effect of FIGO Ic (HR, 2.63; 95% confidence interval [CI], 1.12–6.17, P = 0.027), FIGO II or III (implants) (HR, 3.67; 95% CI, 1.56–8.61, P = 0.003), and incomplete staging (HR, 3.63; 95% CI, 1.09–12.07, P = 0.035), but not ascites (P > 0.1). Relapse occurred in 32 (10%) patients: in 22 patients as borderline and in 10 patients as invasive tumor. Seven (70%) patients with invasive relapse died of disease. All patients with borderline relapses were successfully managed by second surgery, which in 80% was again conservative.ConclusionsRelapses in borderline ovarian tumor are uncommon, in 10% of patients. Invasive relapses are rare, only in 3% of patients, but often with fatal course irrespective of the treatment applied. The most important clinical risk factors of relapse are implants (FIGO II/III), FIGO Ic, and incomplete staging and this patients as well as patients with ascites should be closely followed. Relapses of borderline histology are easily detected and successfully managed by surgery.


2014 ◽  
Vol 133 ◽  
pp. 83
Author(s):  
T. Song ◽  
B.S. Yoon ◽  
Y.Y. Lee ◽  
C.H. Choi ◽  
T.J. Kim ◽  
...  

2010 ◽  
Vol 3 (2) ◽  
pp. 43
Author(s):  
Kidong Kim ◽  
Soo Youn Cho ◽  
Hyun Hoon Chung ◽  
Noh-Hyun Park ◽  
Yong-Sang Song ◽  
...  

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