Investigator

Lucia Tortorella

Agostino Gemelli University Polyclinic

LTLucia Tortorella
Papers(3)
Substantial lymph-vas…Author's reply to: Wh…Predictive factors of…
Collaborators(10)
Francesco FanfaniGiovanni ScambiaVito ChianteraStefano RestainoGiuseppe VizzielliSalvatore Gueli Allet…Santullo FrancescoSerena CappuccioAlessandro GioèAlfredo Ercoli
Institutions(5)
Agostino Gemelli Univ…University Of PalermoUniversity Of PisaUniversit Cattolica D…University Of Messina

Papers

Substantial lymph-vascular space invasion (LVSI) as predictor of distant relapse and poor prognosis in low-risk early-stage endometrial cancer

The aim of this study is to analyze the prognostic role of lymph-vascular space invasion (LVSI), evaluated in a semi-quantitative fashion on prognosis of early stage, low risk endometrial cancer (EC). We enrolled patients who underwent surgery for endometrial cancer between 2003 and 2018 in two referral cancer center. All patients had endometrioid EC, G1-G2, with myometrial invasion <50%, and no lymph-node involvement. LVSI was analyzed in a semi-quantitative way, according to a 3-tiered scoring system in absent, focal and substantial. Among 524 patients, any positive LVSI was found in 57 patients (10.9%) with focal LVSI (n=35, 6.7%) and substantial LVSI (n=22, 4.2%). Substantial LVSI was associated to higher rate of G2 (p<0.001), myometrial infiltration (p=0.002) and greater tumor dimensions (p=0.014). Patients with substantial LVSI were more likely to receive adjuvant treatment (6.6% vs. 52.6%, p<0.001). The 5-year OS was 99.5% in patients with absent LVSI and 70.6% in those with substantial LVSI (p<0.001). The 5-year disease free survival (DFS) was 93.6% in patients with absent LVSI and 56.5% in those with substantial LVSI (p<0.001). The rate of distant failures increased from 1.8% for absent LVSI to 22.7% for substantial LVSI (p=0.002). In univariate analysis substantial LVSI was the strongest predictor of poor overall survival (hazard ratio [HR]=11.9, p=0.001). Multivariate analysis showed that substantial LVSI was an independent predictive factor of both recurrence (HR=5.88, p=0.001) and distant failure (HR=10.6, p=0.006). Substantial LVSI represents the strongest independent risk factor for decreased survival and distant relapse, indicating a role for potential hematogenous dissemination.

Predictive factors of surgical complications after pelvic exenteration for gynecological malignancies: a large single-institution experience

To evaluate pre-operative predictors of early (<30 days) severe complications (grade Dindo 3+) in patients with gynecological malignancy submitted to pelvic exenteration (PE). We retrospectively analyzed 129 patients submitted to surgery at Fondazione Policlinico Gemelli between 2010 and 2019. We included patients affected by primary or recurrent/persistent cervical, endometrial, or vulvar/vaginal cancers. Post-operative complications were graded according to the Dindo classification. Logistic regression was used to analyze potential predictors of complications. We performed 63 anterior PE, 10 posterior PE, and 56 total PE. The incidence of early severe post-operative complications was 27.9% (n=36), and the early mortality rate was 2.3% (n=3). More frequent complications were related to the urinary diversion and intestinal surgery. In univariable analysis, hemoglobin ≤10 g/dL (odds ratio [OR]=4.2; 95% confidence interval [CI]=1.65-10.7; p=0.003), low albumin levels (OR=3.9; 95% CI=1.27-12.11; p=0.025), diabetes (OR=4.15; 95% CI=1.22-14.1; p=0.022), 2+ comorbidities at presentation (OR=5.18; 95% CI=1.49-17.93; p=0.012) were predictors of early severe complications. In multivariable analysis, only low hemoglobin and comorbidities at presentation were independent predictors of complications. Pelvic exenteration is an aggressive surgery characterized by a high rate of post-operative complications. Pre-operative assessment of comorbidities and patient health status are crucial to better select the right candidate for this type of surgery.

29Works
3Papers
25Collaborators

Positions

Researcher

Agostino Gemelli University Polyclinic

Links & IDs
0000-0001-5271-3051

Scopus: 39262573900