Evidence map›Paper›PMID 38980587›Full record

ArticleAnnals of surgical oncology2024

Laparoscopic Extended Segmentectomy VIII Guided by Three-Dimensional Reconstruction and Hepatic Veins with a Cranio-Caudal Approach.

Aurélien Dupré, Charles Buiron, Lucas De Crignis, Gaëlle Bouroche, Clélia Coutzac, Nicolas Mouton

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Article in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Aurélien DupréDepartment of Surgical Oncology, Centre Léon Bérard, Lyon, France. aurelien.dupre@lyon.unicancer.fr.ORCID http://orcid.org/0000-0002-5216-538X
Charles BuironDepartment of Surgical Oncology, Centre Léon Bérard, Lyon, France.
Lucas De CrignisDepartment of Surgical Oncology, Centre Léon Bérard, Lyon, France.
Gaëlle BourocheDepartment of Anesthesiology, Centre Léon Bérard, Lyon, France.
Clélia CoutzacDepartment of Medical Oncology, Centre Léon Bérard, Lyon, France.
Nicolas MoutonDepartment of Surgical Oncology, Centre Léon Bérard, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMinimally invasive resection of segment VIII is a technically challenging procedure, made even more challenging when the resection is extended to segment IV and/or segment VII. Parenchymal-sparing resections are frequently used in the management of liver metastases but expose to the risk of R1 resection, especially with a minimally invasive approach. Preoperative surgical planning with 3D reconstruction and intraoperative guidance with hepatic vein is helpful for laparoscopic oncological liver resection.

resultsOperative time was 360 min with 450 mL blood loss. The Pringle maneuver was used during 148 min. The patient was discharged on the seventh postoperative day. Pathological examination confirmed R0 resection, with 20-60% necrosis of the three liver metastases. The resected liver weight was 225 g. Six months after liver resection, the patient had a recurrence in a celiac lymph node, which was treated by radiotherapy. Fifteen months after liver resection, the patient is free of disease without active treatment.

conclusionPreoperative virtual hepatectomy facilitates surgical planning by increasing the understanding of the tumors-vessels relationship. Intraoperative hepatic vein guidance with a cranio-caudal approach enables to follow preoperative surgical planning and to perform safe complex laparoscopic liver resection.

Indexed as

HepatectomyHepatic VeinsImaging, Three-DimensionalLaparoscopyLiver NeoplasmsCarcinoma, Squamous CellFemaleHumansMiddle AgedPrognosis

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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.