Huaying Wang

Clinical characteristics and risk factors of invasion in extramammary Paget’s disease of the vulva

This study aimed to evaluate the risk factors of recurrence and invasive disease in patients with extramammary Paget's disease of the vulva (EPDV). We performed a retrospective analysis of patients who were initially diagnosed with EPDV in Fudan University Shanghai Cancer Center between May 2006 and March 2019. Thirty-eight patients were initially diagnosed with EPDV in our institution. Among them, 29 had intraepithelial EPDV, 8 had intraepithelial EPDV with stromal invasion, and 1 had an underlying vulvar adenocarcinoma. In total, 8 (21%) patients had 12 recurrences. Of these eight patients, four had one recurrence, while other four had two recurrences. Intraepidermal EPDV recurred nine times, while intraepidermal EPDV with invasive disease recurred thrice. The first and second recurrence intervals were 62.1 (9-146) months and 22 (15-28) months, respectively. The rate of invasive disease was 23.7% (9/38) for primary EPDV and 25% (3/12) for recurrent ones. We determined that the presence of invasive disease was associated with a history of more than 10 years (p = 0.02) and inversely correlated with positive margins (p = 0.037), However, invasive disease had no statistical relations with age (p = 0.438), recurrence (p = 0.642), and lesion diameter (p = 0.08). EPDV with a history of more than 10 years was associated with invasive disease. Close and long-term follow-up are recommended to identify those who require further treatment.

Constructing a prediction model for lymph node metastasis in patients with incidental finding of endometrial cancer based on Fully-Connected Network

Rare studies focused on patients with incidental diagnosis of endometrial cancer (EC) after hysterectomy. We intended to construct a prediction model of lymph node metastasis (LNM) based on Fully-Connected Network (FC Network) for these patients. A total of 3,920 cases of EC that met the criteria from Obstetrics & Gynecology Hospital of Fudan University between January 2016 and February 2023 and 1995 cases from Fudan University Shanghai Cancer Center between January 2013 and October 2020 were retrospectively included for the construction of a predicting model which was based on FC Network. At the same time, 572 cases were prospectively collected for external validation. The sensitivity of the model was 0.946. Lympho-vascular space invasion, myometrial invasion, tumor grade, microcystic elongated and fragmented invasion, progesterone receptor, and cancer antigen 125 were used to construct a simplified nomogram. The area under the curve of the nomogram was 0.890 and 0.885 in validation and prospective cohorts, respectively. The model we proposed has good sensitivity and can be used to predict the risk of LNM in patients with incidentally found EC. The simplified nomogram can be used as a substitute in certain situations. Based on another study, the threshold of 5% and 25% can be used for risk stratification.