| 1. |
- Falconer, Henrik, et al.
(författare)
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Robot-assisted approach to cervical cancer (RACC) : an international multi-center, open-label randomized controlled trial
- 2019
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Ingår i: International Journal of Gynecological Cancer. - : BMJ Publishing Group Ltd. - 1048-891X .- 1525-1438. ; 29:6, s. 1072-1076
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Tidskriftsartikel (refereegranskat)abstract
- Background: Radical hysterectomy with pelvic lymphadenectomy represents the standard treatment for early-stage cervical cancer. Results from a recent randomized controlled trial demonstrate that minimally invasive surgery is inferior to laparotomy with regards to disease-free and overall survival.Primary Objective: To investigate the oncologic safety of robot-assisted surgery for early-stage cervical cancer as compared with standard laparotomy.Study Hypothesis: Robot-assisted laparoscopic radical hysterectomy is non-inferior to laparotomy in regards to recurrence-free survival with the advantage of fewer post-operative complications and superior patient-reported outcomes.Trial Design: Prospective, multi-institutional, international, open-label randomized clinical trial. Consecutive women with early-stage cervical cancer will be assessed for eligibility and subsequently randomized 1:1 to either robot-assisted laparoscopic surgery or laparotomy. Institutional review board approval will be required from all participating institutions. The trial is coordinated from Karolinska University Hospital, Sweden.Major Inclusion/Exclusion Criteria: Women over 18 with cervical cancer FIGO (2018) stages IB1, IB2, and IIA1 squamous, adenocarcinoma, or adenosquamous will be included. Women are not eligible if they have evidence of metastatic disease, serious co-morbidity, or a secondary invasive neoplasm in the past 5 years.Primary Endpoint: Recurrence-free survival at 5 years between women who underwent robot-assisted laparoscopic surgery versus laparotomy for early-stage cervical cancer.Sample Size: The clinical non-inferiority margin in this study is defined as a 5-year recurrence-free survival not worsened by >7.5%. With an expected recurrence-free survival of 85%, the study needs to observe 127 events with a one-sided level of significance (alpha) of 5% and a power (1-beta) of 80%. With 5 years of recruitment and 3 years of follow-up, the necessary number of events will be reached if the study can recruit a total of 768 patients.Estimated Dates for Completing Accrual and Presenting Results: Trial launch is estimated to be May 2019 and the trial is estimated to close in May 2027 with presentation of data shortly thereafter.
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| 2. |
- Persson, Jan, et al.
(författare)
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Pelvic Sentinel lymph node detection in High-Risk Endometrial Cancer (SHREC-trial)—the final step towards a paradigm shift in surgical staging
- 2019
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Ingår i: European Journal of Cancer. - : Elsevier BV. - 0959-8049 .- 1879-0852. ; 116, s. 77-85
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Tidskriftsartikel (refereegranskat)abstract
- Study aims: To prospectively assess the diagnostic accuracy of a pelvic sentinel lymph node (SLN) algorithm in high-risk endometrial cancer (HREC). Patients and methods: Consecutive women with presumed FIGO stage I-II HREC underwent robotic surgery at two academic centres by five accredited surgeons. An anatomically based algorithm was adhered to, following cervical injection of indocyanine green (ICG), with reinjection of tracer in case of non-display of predefined lymphatic pathways. After removal of SLNs, a pelvic and infrarenal para-aortic lymphadenectomy was performed. Primary end-point was sensitivity of the SLN-ICG algorithm. Secondary end-points were sensitivity of the overall SLN algorithm (including macroscopically suspect nodes as SLNs), SLN mapping rates and morbidity of the SLN procedure. Results: Two hundred fifty-seven women were analysed; 54 had pelvic lymph node metastases (LNMs), and 52 of those were correctly identified by the SLN-ICG algorithm. In two women (one with false-negative ICG-SLNs and one non-mapped woman), the pelvic LNMs were identified by the overall SLN algorithm. The SLN-ICG algorithm had a sensitivity of 98% (95% confidence interval [CI] 89–100) and a negative predictive value of 99.5% (95% CI 97–100). The sensitivity of the overall SLN algorithm was 100% (95% CI 92–100) and the negative predictive value was 100% (95% CI 98–100). The bilateral mapping rate was 95%. Two women (1%) had isolated para-aortic metastases. No adverse events occurred during the SLN procedure. Conclusion: With a complete sensitivity to detect pelvic LNMs, the described pelvic SLN algorithm can, in the hands of experienced surgeons, exclude overall nodal involvement in 99% and thereby safely replace a full lymphadenectomy in HREC.
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