Cost-effectiveness of laparoscopic disease assessment in patients with newly diagnosed advanced ovarian cancer

Medicolegal, infrastructural, and financial aspects in gynecologic cancer surgery and their implications in decision making processes: Quo Vadis?

Surgical decision making is complex and involves a combination of analytic, intuitive, and cognitive processes. Medicolegal, infrastructural, and financial factors may influence these processes depending on the context and setting, but to what extent can they influence surgical decision making in gynecologic oncology? This scoping review evaluates existing literature related to medicolegal, infrastructural, and financial aspects of gynecologic cancer surgery and their implications in surgical decision making. Our objective was to summarize the findings and limitations of published research, identify gaps in the literature, and make recommendations for future research to inform policy.

Development of a prediction model for gross residual in high-grade serous ovarian cancer by combining preoperative assessments of abdominal and pelvic metastases and multiparametric MRI

RATIONALE AND OBJECTIVES

To preoperatively predict residual tumor (RT) in patients with high-grade serous ovarian carcinoma (HGSOC) via a radiomic-clinical nomogram.

METHODS

A total of 128 patients with advanced HGSOC were enrolled (training cohort: n=106; validation cohort: n=22). Serum cancer antigen-125 (CA125), serum human epididymis protein 4 (HE-4) level, and neutrophil-to-lymphocyte ratio (NLR) were obtained from the medical records. Metastases in abdomen and pelvis (MAP) of HGSOC patients was evaluated and scored based on preoperative abdominal and pelvic enhanced CT, MRI and/or PET-CT. A volume of interest (VOI) of each tumor was manually contoured along the boundary slice-by-slice. Radiomic features were extracted from the T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) images. Univariate and multivariate analyses were used to determine the independent predictors of RT status. Least absolute shrinkage and selection operator (LASSO) logistic regression was performed to select optimal features and construct radiomic models. A radiomic-clinical nomogram incorporating radiomic signature and clinical parameters was developed and evaluated in training and validation cohorts.

RESULTS

MAP score (p = 0.002), HE-4 level (p = 0.001) and NLR (p = 0.008) were independent predictors of RT status. The final radiomic-clinical nomogram showed satisfactory prediction performance in training (AUC = 0.936), cross validation (AUC = 0.906) and separate validation cohorts (AUC = 0.900), and fitted well in calibration curves (p > 0.05). Decision curve further confirmed the clinical application value of the nomogram.

CONCLUSION

The proposed MRI-based radiomic-clinical nomogram achieved excellent preoperative prediction of the RT status in HGSOC.

The role of minimally invasive surgery in epithelial ovarian cancer treatment: a narrative review

Objectives

The aim of this narrative review is to summarize the available evidence on the use of minimal invasive surgery (MIS) in the management of epithelial ovarian cancer (EOC).

Background

MIS is currently performed to stage and treat EOC at different stage of presentation. We will evaluate risks and benefits of minimally invasive surgery for early stage EOC treatment, then potential advantages provided by staging laparoscopy in identifying patients suitable for primary cytoreductive surgery (PDS) will be discussed. Finally we will investigate the growing role of MIS in the treatment of advanced EOC after neoadjuvant chemotherapy (NACT) and in the treatment of EOC recurrence.

Methods

An electronic database search was performed on PubMed, Medline, and Google Scholar for relevant studies up to December 2022.

Conclusion

LPS represents a feasible surgical procedure for the staging and treatment in early, advanced and EOC relapse in selected patients treated in high-volume oncological centers by surgeons with adequate experience in advanced surgical procedures. Despite the increasing use of MIS over the last few years, randomized clinical trials are still needed to prove its effectiveness.