Marco Petrillo

Robotic single-port (da Vinci SP) versus multiport (da Vinci Xi) for the treatment of atypical endometrial hyperplasia and endometrial cancer: A multi-institutional comparison of surgical outcomes

The da Vinci SP robotic platform offers a novel single-port approach for minimally invasive surgery. Despite its potential, data on its safety and performance in gynecologic oncology remain limited. We aimed to compare surgical outcomes of da Vinci SP versus da Vinci Xi systems in the staging of endometrial cancer (EC). This is a multi-institutional study. Data of consecutive patients with apparent early-stage EC or atypical endometrial hyperplasia who underwent robotic surgery between January 2023-March 2025 were collected. The primary outcome was to compare the surgical outcomes between da Vinci SP and da Vinci Xi. A total of 189 patients were included: 97 (51.3 %) underwent SP surgery and 92 (48.7 %) Xi. The median (range) of operative time, estimated blood loss, and postoperative hospital stay were comparable for SP and Xi groups (140 [70-296] vs. 143 [60-297] min, p = 0.66, 40 [0-250] vs. 64 [0-1300] mL, p = 0.12, 3 [1-11] vs. 3[1-10] days, p = 1). Docking time was significantly shorter in the SP group (10 [4-31] vs. 12 [7-30] min for SP and Xi, respectively, p = 0.004). Intraoperative or post-operative complications rates were comparable (p = 0.30 and p = 0.14,respectively). The patient-reported pain score was significantly lower at 12h and 24h in the Xi group (p = 0.001), while was comparable at 48h after surgery (p = 1). The da Vinci SP system appears to be non-inferior to the multiport da Vinci Xi for surgical staging of early-stage EC. Comparable perioperative outcomes support its clinical use, although patient selection criteria and long-term results require further investigation.

Sentinel Lymph Node Biopsy in Surgical Staging for High-Risk Groups of Endometrial Carcinoma Patients

Background: In endometrial carcinoma (EC) patients, sentinel lymph node (SLN) biopsy has shown the potential to reduce post-operative morbidity and long-term complications, and to improve the detection of low-volume metastasis through ultrastaging. However, while it has shown high sensitivity and feasibility in low-risk EC patient groups, its role in high-risk groups is still unclear. Aim: To assess the role of SLN biopsy through the cervical injection of indocyanine green (ICG) in high-risk groups of early-stage EC patients. Materials and methods: Seven electronic databases were searched from their inception to February 2021 for studies that allowed data extraction about detection rate and accuracy of SLN biopsy through the cervical injection of ICG in high-risk groups of early-stage EC patients. We calculated pooled sensitivity, false negative (FN) rate, detection rate of SLN per hemipelvis (DRh), detection rate of SLN per patients (DRp), and bilateral detection rate of SLN (DRb), with 95% confidence interval (CI). Results: Five observational cohort studies (three prospective and two retrospective) assessing 578 high risk EC patients were included. SLN biopsy sensitivity in detecting EC metastasis was 0.90 (95% CI: 0.03–0.95). FN rate was 2.8% (95% CI: 0.6–11.6%). DRh was 88.4% (95% CI: 86–90.5%), DRp was 96.6% (95% CI: 94.7–97.8%), and DRb was 80% (95% CI: 75.4–83.9). Conclusion: SLN biopsy through ICG cervical injection may be routinely adopted instead of systematic pelvic and para-aortic lymphadenectomy in surgical staging for high-risk groups of early-stage EC patients, as well as in low-risk groups.

Role of Extracellular Vesicles in Epithelial Ovarian Cancer: A Systematic Review

Extracellular vesicles (EVs) are a heterogeneous group of cell-derived submicron vesicles released under physiological or pathological conditions. EVs mediate the cellular crosstalk, thus contributing to defining the tumor microenvironment, including in epithelial ovarian cancer (EOC). The available literature investigating the role of EVs in EOC has been reviewed following PRISMA guidelines, focusing on the role of EVs in early disease diagnosis, metastatic spread, and the development of chemoresistance in EOC. Data were identified from searches of Medline, Current Contents, PubMed, and from references in relevant articles from 2010 to 1 April 2020. The research yielded 194 results. Of these, a total of 36 papers, 9 reviews, and 27 original types of research were retained and analyzed. The literature findings demonstrate that a panel of EV-derived circulating miRNAs may be useful for early diagnosis of EOC. Furthermore, it appears clear that EVs are involved in mediating two crucial processes for metastatic and chemoresistance development: the epithelial–mesenchymal transition, and tumor escape from the immune system response. Further studies, more focused on in vivo evidence, are urgently needed to clarify the role of EV assessment in the clinical management of EOC patients.

The role of surgery in platinum-resistant ovarian cancer: A call to the scientific community

In the last decade, a growing attention has been focused on identifying effective therapeutic strategies also in the orphan clinical setting of women with platinum-resistant disease. In this context, secondary cytoreductive surgery (SCS) remains a potential approach only in women with platinum sensitive relapse, but experimental data have been published supporting the role of SCS also in patients with platinum-resistant recurrence. In particular, surgery is emerging as a potential option in specific subgroups of women, such as those patients with low-grade serous histology, or low-volume relapse with disease located in the so-called pharmacological sanctuaries. Furthermore, contrasting evidences have suggested a potential role in this clinical setting of SCS combined with intraperitoneal hyperthermic chemotherapy. In this complex scenario we review here the available evidences regarding the role surgery in ovarian cancer patients with platinum resistant disease, trying also to understand which patients may benefit from this challenging, experimental approach.

Levonorgestrel-releasing intra-uterine device alone for managing early-stage endometrial cancer and endometrial hyperplasia with atypia in patients unfit for surgery: the ENDOIUD study

This study aimed to clarify the role of levonorgestrel-releasing intra-uterine device as a stand-alone therapy in managing patients with endometrial atypical hyperplasia/endometrial cancer who are not suitable for surgery, through the evaluation of cause-specific survival and the control of vaginal bleeding. This is a retrospective, multi-center study conducted in 9 referral gynecologic centers in Italy. Data regarding the clinical and oncological outcomes of patients with endometrial atypical hyperplasia/endometrial cancer (International Federation of Gynecology and Obstetrics Stage I) were analyzed. Patients were judged unsuitable for surgery due to an American Society of Anesthesiologists score ≥3 and the presence of multiple severe co-morbidities and, therefore, triaged to receive levonorgestrel-releasing intra-uterine device alone. A total of 78 women were enrolled. Fifteen patients (19.2%) had a diagnosis of endometrial atypical hyperplasia, whereas the other 63 (80.8%) had endometrial cancer. The baseline hemoglobin levels averaged 11.6 (range; 6-16), increasing to 12.1 (range; 7.8-14.9) during follow-up after levonorgestrel-releasing intra-uterine device insertion (p = .003). No patient experienced any side effects, and bleeding control was rated as excellent in most patients. Median disease-free survival was 43 months (range; 5-120) and median overall survival was 45 months (range; 5-120). Levonorgestrel-releasing intra-uterine device alone is a safe and effective approach, showing no side effects, and a promising oncological outcome in women with early-stage endometrial atypical hyperplasia/endometrial cancer unfit for surgery. Future prospective studies are required to clarify how to select patient candidates for this therapy and how to predict response to levonorgestrel-releasing intra-uterine device.

Natural language processing as consultation service platform or clinical decision support system in gynecologic oncology: a systematic review.

Natural language processing is emerging as a key application of artificial intelligence in oncology. This systematic review aims to evaluate the performance and methodological frameworks of natural language processing systems in gynecologic oncology. We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis 2020 guidelines. MEDLINE, EMBASE, and Web of Science were searched for studies published between January 2015 and February 2025. Outcomes were synthesized across 3 research questions: the accuracy of natural language processing systems used as consultation service platforms; the accuracy of natural language processing systems used as clinical decision support systems; and the benchmarking methodologies applied, including their associated methodological outcomes. Consultation service platforms deliver general medical information, whereas clinical decision support systems provide recommendations that are integrated into the patient's clinical workflow. This review analyzed 12 retrospective studies. Consultation service platforms were less accurate than clinicians (60% vs 86.7%) and rated lower in response quality (2.96/5 vs 4.2/5) but outperformed guideline-based answers (1.54/2 vs 1.38/2). In cervical cancer, ChatGPT surpassed experts (7.0 vs 6.1). ChatGPT-4 showed a concordance of 70% with the National Comprehensive Cancer Network and 60% with the European Society of Gynaecological Oncology guidelines in clinical decision support tasks, with an overall recommendation accuracy of 75%. IBM Watson achieved a 72.8% concordance with guidelines. Prompting was applied from 100% to 37.5% across studies. Qualitative benchmarking varied across studies: 83.3% used clinical guidelines and 37.5% of consultation service platforms studies used expert answers. Four- or 5-point scales and binary scoring were used to assess consultation service platforms and clinical decision support systems, respectively. Clinicians remain superior in complex reasoning, but natural language processing systems demonstrate robust performance in guideline-driven tasks, with advantages in speed, readability, and reproducibility. However, performance declined in nuanced scenarios and among under-represented patient sub-groups. Large language models currently play a supportive rather than substitutive role in gynecologic oncology.