Impact of COVID-19 in gynecologic oncology: a Nationwide Italian Survey of the SIGO and MITO groups.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) has caused rapid and drastic changes in cancer management. The Italian Society of Gynecology and Obstetrics (SIGO), and the Multicenter Italian Trials in Ovarian cancer and gynecologic malignancies (MITO) promoted a national survey aiming to evaluate the impact of COVID-19 on clinical activity of gynecologist oncologists and to assess the implementation of containment measures against COVID-19 diffusion. METHODS: The survey consisted of a self-administered, anonymous, online questionnaire. The survey was sent via email to all the members of the SIGO, and MITO groups on April 7, 2020, and was closed on April 20, 2020. RESULTS: Overall, 604 participants completed the questionnaire with a response-rate of 70%. The results of this survey suggest that gynecologic oncology units had set a proactive approach to COVID-19 outbreak. Triage methods were adopted in order to minimize in-hospital diffusion of COVID-19. Only 38% of gynecologic surgeons were concerned about COVID-19 outbreak. Although 73% of the participants stated that COVID-19 has not significantly modified their everyday practice, 21% declared a decrease of the use of laparoscopy in favor of open surgery (19%). However, less than 50% of surgeons adopted specific protection against COVID-19. Additionally, responders suggested to delay cancer treatment (10%-15%), and to perform less radical surgical procedures (20%-25%) during COVID-19 pandemic. CONCLUSIONS: National guidelines should be implemented to further promote the safety of patients and health care providers. International cooperation is of paramount importance, as heavily affected nations can serve as an example to find out ways to safely preserve clinical activity during the COVID-19 outbreak.

Machine learning for coronavirus covid-19 detection from chest x-rays.

At the end of 2019, a new form of Coronavirus, called COVID-19, has widely spread in the world. To quickly screen patients with the aim to detect this new form of pulmonary disease, in this paper we propose a method aimed to automatically detect the COVID-19 disease by analysing medical images. We exploit supervised machine learning techniques building a model considering a data-set freely available for research purposes of 85 chest X-rays. The experiment shows the effectiveness of the proposed method in the discrimination between the COVID-19 disease and other pulmonary diseases.

Change in practice in gynecologic oncology during the COVID-19 pandemic: a social media survey.

OBJECTIVE: COVID-19 has affected gynecologic cancer management. The goal of this survey was to evaluate changes that occurred in gynecologic oncology practice during the COVID-19 pandemic. METHODS: A anonymous survey consisting of 33 questions (https://sites.google.com/view/gyncacovidfmartinelli) regarding interaction between gynecologic cancers and COVID-19 was distributed online via social media from April 9 to April 30, 2020. Basic descriptive statistics were applied. Analytics of survey-diffusion and generated-interest (visualizations, engagement rates, response rate) were analyzed. RESULTS: The survey received 20 836 visualizations, generating an average engagement rates by reach of 4.7%. The response rate was 30%. A total of 86% of respondents completed the survey, for a total of 187 physicians surveyed across 49 countries. The majority (143/187; 76%) were gynecologic oncologists, and most were ≤50 years old (146/187; 78%). A total of 49.7% (93/187) were facing the early phase of the COVID-19 pandemic, while 26.7% (50/187) and 23.5% (44/187) were in the peak and plateau phases, respectively. For 97.3% (182/187) of respondents COVID-19 affected or changed their respective clinical practice. Between 16% (27/165) (before surgery) and 25% (26/102) (before medical treatment) did not perform any tests to rule out COVID-19 infection among patients. The majority of respondents did not alter indications of treatment if patients were COVID-19-negative, while treatments were generally postponed in COVID-19-positive patients. Treatments were considered priority for: early stage high-risk uterine cancers (85/187; 45%), newly diagnosed epithelial ovarian cancer (76/187; 41%), and locally advanced cervical cancer (76/187; 41%). Treatment of early stage low-grade endometrioid endometrial cancer was deferred according to 49% (91/187) of respondents, with hormonal treatment as the option of therapy (31%; 56/178). A total of 77% (136/177) of respondents reported no changes in (surgical) treatment for early stage cervical cancer in COVID-19-negative patients, while treatment was postponed by 54% (96/177) of respondent, if the patient tested COVID-19-positive. Neoadjuvant chemotherapy for advanced ovarian cancers was considered by over one-third of respondents as well as hypofractionation of radiation treatment for locally advanced cervical cancers. CONCLUSION: COVID-19 affected the treatment of gynecologic cancers patients, both in terms of prioritization and identification of strategies to reduce hospital access and length of stay. Social media is a reliable tool to perform fast-tracking, worldwide surveys.