Publications by authors named "I G T Baeten"
: Pathological ultrastaging, an essential part of sentinel lymph node (SLN) mapping, involves serial sectioning and immunohistochemical (IHC) staining in order to reliably detect clinically relevant metastases. However, ultrastaging is labor-intensive, time-consuming, and costly. Deep learning algorithms offer a potential solution by assisting pathologists in efficiently assessing serial sections for metastases, reducing workload and costs while enhancing accuracy.
View Article and Find Full Text PDFStudy Objectives: Pelvic lymph node dissection (PLND) is part of the primary treatment for early-stage cervical cancer and high-intermediate risk or high-risk endometrial cancer. Pelvic lymphocele is a postoperative complication of PLND, and when symptomatic, lymphoceles necessitate treatment. The aim of this study was to investigate the incidence and risk factors of symptomatic lymphocele after robot-assisted laparoscopic PLND in cervical and endometrial cancer.
View Article and Find Full Text PDFArticle Synopsis
- A study was done to see how a new robotic surgeon, who was trained properly, did compared to experienced surgeons when treating cervical cancer patients.
- The study looked at 226 patients and divided them into three groups based on the surgeon's experience: new without training, experienced, and the new surgeon with structured training.
- Results showed that the new trained surgeon had similar or better outcomes compared to experienced surgeons, meaning they can learn and perform well without hurting patient care.
Objectives: To evaluate whether a learning curve affects the bilateral sentinel lymph node (SLN) detection in early-stage cervical cancer.
Methods: All patients with FIGO (2018) stage IA1-IB2 or IIA1 cervical cancer who had undergone robot-assisted SLN mapping performed with a combination of preoperative technetium-99m nanocolloids (including preoperative imaging) and intraoperative blue dye were retrospectively included. Risk-adjusted cumulative sum (RA-CUSUM) analysis was used to determine if a learning curve based on bilateral SLN detection existed in this cohort.
Objectives: The purpose of this systematic review and meta-analysis was to evaluate the proportion and risk factors of lymphoceles and symptomatic lymphoceles after PLND in early-stage cervical and early-stage high or high-intermediate risk endometrial cancer.
Methods: Studies reporting on the proportion of lymphocele after PLND were conducted in PubMed, Embase and Cochrane Library. Retrieved studies were screened on title/abstract and full text by two reviewers independently.