ReviewAnnals of coloproctology2023
Essential anatomy for lateral lymph node dissection.
Review in Annals of coloproctology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.
- Impact of lateral lymph node dissection on urogenital function and surgical outcomes following neoadjuvant chemoradiotherapy and total mesorectal excision for rectal cancer: a systematic review and meta-analysis.Surgical endoscopy · 2026Pooled it
- Learning curve for lateral lymph node dissection in rectal cancer - a systematic review of literature.Techniques in coloproctology · 2025Pooled it
- Clinical implications of radiologic criteria and prognostic factors for lateral lymph node metastasis in low rectal cancer.Annals of coloproctology · 2025Article
- Deep learning-based vessel and nerve recognition model for lateral lymph node dissection: a retrospective feasibility study.Langenbeck's archives of surgery · 2025Article
- da Vinci robotic-assisted micro-space dissection and autonomic nerve network preservation technique in the total mesorectal excision procedure for rectal cancer: a single-center, retrospective, observational, real-world study.Journal of robotic surgery · 2025Observational
- The role of lateral pelvic lymph node dissection in advanced rectal cancer: a review of current evidence and outcomes.Annals of coloproctology · 2024Review
- Dissection layer selection based on an understanding of pelvic fascial anatomy in transanal total mesorectal excision.Annals of coloproctology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
In Western countries, the gold-standard therapeutic strategy for rectal cancer is preoperative chemoradiotherapy (CRT) following total mesorectal excision (TME), without lateral lymph node dissection (LLND). However, preoperative CRT has recently been reported to be insufficient to control lateral lymph node recurrence in cases of enlarged lateral lymph nodes before CRT, and LLND is considered necessary in such cases. We performed a literature review on aspects of pelvic anatomy associated with rectal surgery and LLND, and then combined this information with our experience and knowledge of pelvic anatomy. In this review, drawing upon research using a 3-dimensional anatomical model and actual operative views, we aimed to clarify the essential anatomy for LLND. The LLND procedure was developed in Asian countries and can now be safely performed in terms of functional preservation. Nonetheless, the longer operative time, hemorrhage, and higher complication rates with TME accompanied by LLND than with TME alone indicate that LLND is still a challenging procedure. Laparoscopic or robotic LLND has been shown to be useful and is widely performed; however, without a sufficient understanding of anatomical landmarks, misrecognition of vessels and nerves often occurs. To perform safe and accurate LLND, understanding the landmarks of LLND is essential.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.