Introduction: YouTube™ is a widely accessible platform with unfiltered medical information. This study aimed to evaluate the educational value and reliability of YouTube™ videos on Hyperthermic Intraperitoneal Chemotherapy (HIPEC) for advanced epithelial ovarian cancer treatment. Methods: YouTube™ videos were searched using the keywords “ovarian cancer”, “debulking surgery”, “hyperthermic”, and “HIPEC”. Patient Education Materials Assessment Tool for Audiovisual Content (PEMAT A/V) score, DISCERN, Misinformation Scale, and the Global Quality Scale (GQS) were employed to assess the clarity, quality, and reliability of the information presented. Results: Of the 150 YouTube™ videos screened, 71 were suitable for analysis and categorized by target audience (general public vs. healthcare workers). Most (57, 80.2%) were uploaded after the “Ov-HIPEC” trial (18 January 2018), with a trend toward more videos for healthcare workers (p = 0.07). Videos for the general public were shorter (p < 0.001) but received more views (p = 0.06) and likes (p = 0.09), though they were of lower quality. The DISCERN score averaged 50 (IQR: 35–60), with public-targeted videos being less informative (p < 0.001), a trend mirrored by the Misinformation Scale (p < 0.001) and GQS (p < 0.001). The PEMAT A/V scores showed 80% Understandability (IQR: 62–90) and 33% Actionability (IQR: 25–100), with no significant difference between groups (p = 0.15, p = 0.4). Conclusions: While YouTube™ provides useful information for healthcare professionals, it cannot be considered a reliable source for patients seeking information on HIPEC for ovarian cancer. Many videos contribute to misinformation by not properly explaining treatment indications, timing, adverse effects, multimodal approaches, or clinical trial findings.

To evaluate the feasibility and surgical impact of static digital twin reconstructions in patients undergoing resection for complex pelvic or abdominal recurrences of gynecologic cancers. Prospective, observational feasibility study. Academic tertiary care center with integrated biomedical engineering support. Four patients with suspected oligometastatic recurrence of gynecologic malignancy involving vascular, urinary, nervous, or skeletal structures, deemed eligible for curative-intent surgery and eight historical controls with recurrent leiomyosarcoma selected for exploratory comparison. Included patients underwent high-resolution cross-sectional imaging followed by semi-automated 3D segmentation and static digital twin reconstruction using Mimics Medical® software. Virtual models were co-reviewed by surgeons and engineers for surgical planning. During surgery, the digital twin was available for intraoperative navigation. Postoperative concordance between the model and intraoperative findings was evaluated by a multidisciplinary team (surgeon, radiologist, clinical engineer) using an internally developed 1-5 rating scale. All procedures were completed without intraoperative complications. The mean operative time was 191.5 minutes (range 120-270). In each case, the static digital twin allowed enhanced preoperative planning, identification of anatomical variants (e.g., duplicated ureter), and optimized team coordination. Surgical findings were highly concordant with the preoperative 3D models. No unplanned injuries or postoperative complications were observed. Intraoperative decision-making was positively influenced by the use of the model in all cases. Static digital twins are feasible and effective tools for surgical planning in complex gynecologic cancer recurrences. Their use supports anatomical understanding, interdisciplinary coordination, and intraoperative safety. Further research is needed to validate their impact on surgical outcomes and workflow efficiency.