Predictive factors of lymph node metastasis and pattern of repartition in patients with epithelial ovarian cancer

Atallah, David; Arab, Wissam; Dagher, B; Khalil, Nour; Rawadi, E; Atallah, Bachir; Ghaname, Wadih; Kassis, Nadine El; Chahine, Georges; Moubarak, Malak

doi:10.2217/fon-2021-0419

Cited by 4 publications

(3 citation statements)

References 23 publications

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“… 70 – 75 Other researchers were interested in other types of cancers that were reviewed thoroughly along with their pathogenesis and possible treatment pathways. Other types of cancers that were of interest to LAU researchers were ovarian, 76 rectal, 77 cervical, 78 and gastroesophageal. 79 Moreover, different reviews provided insight into the potential of novel cancer therapies such as immunotherapy, CAR-T cells, and CDk-7 inhibitors in the treatment of oncological diseases.…”

Section: Resultsmentioning

confidence: 99%

Identifying health research in the era of COVID-19: A scoping review

Samah

2023

SAGE Open Medicine

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Background: Health improvements are considered one of the most important fields of research. Since the coronavirus disease 2019 was declared a pandemic, it might have impacted clinical and public health research in various forms. Objectives: The goal of this study is to explore health research approaches in the era of coronavirus disease 2019. Methods: In this scoping review, we reviewed published medical full-text studies and identified potential areas of interest of health research in the era the coronavirus disease 2019 pandemic during the last 3 years within a higher educational setting. A bibliometric analysis was used to compare among published works. Results: Among the 93 studies that met the inclusion criteria, most focused on mental health ( n = 23; 24.7%). Twenty-one publications targeted coronavirus disease 2019 and its consequences on general health. Other studies have described hemato-oncological, cardiovascular, respiratory, and endocrinological diseases. 42 studies were cross-sectional or cohort studies and most of them published in Q1 journals. Almost half of them belonged to the Faculty of Medicine (49.5%) followed by the School of Arts, Sciences, and Psychology (26.9%). Conclusions: Health research has been demonstrated to be important, at all times, especially during crises. Therefore, researchers need to invest more efforts into seeking new medical updates in various health-related fields, regardless of their correlation with coronavirus disease 2019.

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Section: Resultsmentioning

confidence: 99%

Identifying health research in the era of COVID-19: A scoping review

Samah

2023

SAGE Open Medicine

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“…While HE4, CA724 and CEA levels were excluded in our clinical model. Previous studies have investigated the predictors of LNM in OC and concluded that high-grade serous tumors, positive peritoneal cytology, advanced clinical stage, interval surgery, and bilateral adnexal involvement can predict LNM in patients with OC [ 34 , 35 ]. This is consistent with our conclusion that peritoneal thickening on US images correlates with LNM.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of an ultrasound‑based radiomics nomogram to predict lymph node status in patients with high-grade serous ovarian cancer: a retrospective analysis

Qi,

Liu,

Wang

et al. 2024

J Ovarian Res

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Background Despite advances in medical imaging technology, the accurate preoperative prediction of lymph node status remains challenging in ovarian cancer. This retrospective study aimed to investigate the feasibility of using ultrasound-based radiomics combined with preoperative clinical characteristics to predict lymph node metastasis (LNM) in patients with high-grade serous ovarian cancer (HGSOC). Results Patients with 401 HGSOC lesions from two institutions were enrolled: institution 1 for the training cohort (n = 322) and institution 2 for the external test cohort (n = 79). Radiomics features were extracted from the three preoperative ultrasound images of each lesion. During feature selection, primary screening was first performed using the sample variance F-value, followed by recursive feature elimination (RFE) to filter out the 12 most significant features for predicting LNM. The radscore derived from these 12 radiomic features and three clinical characteristics were used to construct a combined model and nomogram to predict LNM, and subsequent 10-fold cross-validation was performed. In the test phase, the three models were tested with external test cohort. The radiomics model had an area under the curve (AUC) of 0.899 (95% confidence interval [CI]: 0.864–0.933) in the training cohort and 0.855 (95%CI: 0.774–0.935) in the test cohort. The combined model showed good calibration and discrimination in the training cohort (AUC = 0.930) and test cohort (AUC = 0.881), which were superior to those of the radiomic and clinical models alone. Conclusions The nomogram consisting of the radscore and preoperative clinical characteristics showed good diagnostic performance in predicting LNM in patients with HGSOC. It may be used as a noninvasive method for assessing the lymph node status in these patients.

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“…It was reported that age, histology, grade, and CA125 level influenced the incidence of nodal metastasis. However, due to the limitations and small sample sizes of prior studies, little information exists about the lymph node status of patients with type I or type II disease [ 13 – 15 ]. Therefore, further studies are needed to explore the differences in lymph node status in OC patients with different types.…”

Section: Introductionmentioning

confidence: 99%

Prognostic significance and risk factors for pelvic and para-aortic lymph node metastasis in type I and type II ovarian cancer: a large population-based database analysis

Wang

et al. 2023

J Ovarian Res

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Background To compare the prognosis of lymphatic metastasis in type I and type II epithelial ovarian cancer (OC) and to identify the risk factors for pelvic lymph node metastases (PLNs) and para-aortic lymph node metastases (PALNs). Methods Patients diagnosed with epithelial OC were collected from the Surveillance, Epidemiology, and End Results (SEER) database. Overall survival (OS) and cancer-specific survival (CSS) were estimated. The Cox proportional hazards regression model was used to identify independent predictors of survival. Results A total of 11,275 patients with OC were enrolled, including 31.2% with type I and 68.8% with type II. Type II and high tumour stage were risk factors for lymph node involvement (p < 0.05). The overall rate of lymph node metastasis in type I was 11.8%, and that in type II was 36.7%. In the type I group, the lymph node metastasis rates in stages T1, T2, T3 and TXM1 were 3.2%, 14.5%, 40.4% and 50.0%, respectively. In the type II group, these rates were 6.4%, 20.4%, 54.1% and 61.1%, respectively. Age and tumour size had little effect on lymph node metastasis, and grade 3 was not always a risk factor. For the type I group, the 10-year CSS rates of LN(-), PLN( +), PALN( +), and PLN + PALN( +) were 80.6%, 46.6%, 36.3%, and 32.3%, respectively. The prognosis of PLN ( +) was better than that of PALN ( +) in the type I group (p > 0.05). For the type II group, the 10-year CSS rates of LN(-), PLN( +), PALN( +), and PLN + PALN( +) were 55.6%, 18.5%, 25.7%, and 18.2%, respectively. PALN ( +) had a significantly better prognosis than PLN ( +) in the type II group (p < 0.05). Conclusions The clinical characteristics and prognoses of patients with type I and type II OC differed greatly. Patients with type II and higher tumour stages had poorer prognoses. Type I with PALN metastasis and type II with PLN metastasis indicated a worse prognosis. Patients with stage TI did not require lymph node dissection, especially in the type I group.

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Predictive factors of lymph node metastasis and pattern of repartition in patients with epithelial ovarian cancer

Cited by 4 publications

References 23 publications

Identifying health research in the era of COVID-19: A scoping review

Identifying health research in the era of COVID-19: A scoping review

Development and validation of an ultrasound‑based radiomics nomogram to predict lymph node status in patients with high-grade serous ovarian cancer: a retrospective analysis

Prognostic significance and risk factors for pelvic and para-aortic lymph node metastasis in type I and type II ovarian cancer: a large population-based database analysis

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