Introduction: Historically, therapeutic avenues for patients with clinical stage II seminoma germ cell tumors (SGCT) were confined to radiotherapy and chemotherapy. While survival rates with these modalities are commendable, both entail substantial long-term morbidities. Furthermore, this youthful patient cohort exhibits elevated rates of secondary malignancies, surfacing decades post-successful primary cancer treatment (1). Recently, retroperitoneal lymph node dissection (RPLND) has emerged as a primary treatment consideration for individuals with low-volume metastatic seminoma (2-4). However, there is a dearth of video documentation illustrating the robotic assisted (RA) bilateral approach (5- 7).
Methods: We present the case of a 24-year-old male who underwent prior left orchiectomy for seminoma (pT1b). Despite negative serum tumor markers, a 1.7 x 1.4cm lymph node enlargement was identified in the aortic bifurcation after 4 months, classifying the patient as stage IIA per the IGCCCG risk classification. Subsequently, a RA bilateral template RPLND was performed due to the patient's refusal of chemotherapy, citing concerns about offspring.
Results: The surgery was performed, incorporating nerve sparing techniques, lasting 4h13minutes, an estimated bleeding rate of 400ml, without intraoperative complications. The patient was discharged within 24 hours of the procedure, following a prescribed low-fat diet.
Conclusion: The patient experienced postoperative well-being, painlessness, and resumed work three weeks post-procedure. Preserved ejaculation was noted, and adjuvant therapy was performed with 2 cycles of EP due to the anatomopathological result. The feasibility of robotic primary RPLND for SGCT was demonstrated, showing reduced postoperative pain and early hospital discharge. Further studies are necessary to validate our findings regarding oncological, safety, and functional outcomes.
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http://dx.doi.org/10.1590/S1677-5538.IBJU.2023.0389 | DOI Listing |
JAMA Surg
January 2025
Department of General and Minimally Invasive Surgery, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Eur Radiol
January 2025
Department of Urological Surgical, JiangNan University Medical Center, Wuxi, China.
Objective: To conduct a meta-analysis assessing the diagnostic performance of the node reporting and data system (Node-RADS) for detecting lymph node (LN) invasion.
Method: We performed a systematic literature search of online scientific publication databases from inception up to July 31, 2024. We used the quality assessment of diagnostic accuracy studies-2 (QUADAS-2) to assess the study quality, and heterogeneity was determined by the Q-test and measured with I statistics.
Ann Surg Oncol
January 2025
Department of Surgery, University of California San Diego, La Jolla, CA, USA.
Background: Gastric cancer poses a major diagnostic and therapeutic challenge. Improved visualization of tumor margins and lymph node metastases with tumor-specific fluorescent markers could improve outcomes.
Methods: To establish orthotopic models of gastric cancer, one million cells of the human gastric cancer cell line, MKN45, were suspended in 50 μl of equal parts PBS and Matrigel and injected into the nude mouse stomach with a 29-gauge needle.
J Cancer Res Clin Oncol
January 2025
Department of Pathology, Theodor Bilharz Research Institute, Giza, 12411, Egypt.
Introduction: Pancreatic ductal adenocarcinoma (PDAC) is associated with poor prognosis. The roles of the transcription factor special AT-rich binding protein-2 (SATB2) and β-catenin in PDAC have been a subject of controversy. We aimed to assess the diagnostic and prognostic impact of SATB2 and β-catenin in PDAC.
View Article and Find Full Text PDFInt J Gynecol Cancer
January 2025
Division of Gynecologic Oncology, Koc University School of Medicine, Istanbul, Turkey.
Objective: This research was undertaken to identify risk factors for the involvement of sentinel lymph nodes (SLNs) in cases of endometrial cancer.
Methods: From February 2016 to April 2021, the cases of 874 women with endometrial cancer treated with the SLN algorithm at 11 institutions were analyzed in this retrospective study. Clinical and pathologic data were reviewed, and logistic regression was applied to identify predictive factors for SLN involvement.
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