Evidence map›Paper›PMID 38914892›Full record

ArticleUpdates in surgery2024

Three-dimensional reconstruction technology in the preoperative workup of complex hepatic resections. Our experience on 11 consecutive cases.

Stefano Granieri, Serena Bassetto, Alessandro Bonomi, Alessandro Germini, Federica Bruno, Andrea Chierici, Sissi Paleino, Lorenzo Macone, Annaclara Sileo, Valerio Roncaccia and 3 more

Abstract read
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In one paragraph

Article in Updates in surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

13 authors.

Stefano GranieriGeneral Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy. steff.granieri@gmail.com.ORCID http://orcid.org/0000-0001-9167-3400
Serena BassettoPolitecnico di Milano, Scuola di ingengneria industriale e dell'informazione, Via Raffaele Lambruschini, 20156, Milan, Italy.
Alessandro BonomiUniversity of Milan, Via Festa del Perdono, 7, 20122, Milan, Italy.
Alessandro GerminiGeneral Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy.
Federica BrunoGeneral Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy.
Andrea ChiericiCentre Hospitalier Universitaire de Nice-Digestive Surgery and Liver Transplantation Unit, Archet 2 Hospital, 151 Route Saint Antoine de Ginestière, BP 3079, 06200, CEDEX 3, Nice, France.
Sissi PaleinoGeneral Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy.
Lorenzo MaconeUniversity of Milan, Via Festa del Perdono, 7, 20122, Milan, Italy.
Annaclara SileoUniversity of Milan, Via Festa del Perdono, 7, 20122, Milan, Italy.
Valerio RoncacciaUniversity of Milan, Via Festa del Perdono, 7, 20122, Milan, Italy.
Daniela MottaClinical Engeneering Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy.
Elson GjoniGeneral Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy.
Christian CotsoglouGeneral Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional liver modeling can be a useful tool when planning the preoperative strategy in liver surgery. The present study aims to review our case series of patients requiring complex hepatic resections for primary and secondary liver tumors, and for whom 3D models were built, to add further evidence in this direction. All consecutive patients undergoing complex liver resection were enrolled. Cross-sectional triphasic CT images were obtained for each patient. DICOM images were processed, and full virtual 3D models were generated. The additional details provided by 3D models were employed to better understand the anatomy, to define the most adequate surgical pathway, and, in case, to switch to a different surgical procedure. From January 2020 to September 2022, 11 complex hepatic resections requiring 3D reconstruction technology were performed. Eight 3D models scored ≥ 15 points in the quality control system. A detailed analysis of each case was reported. In three cases (27%) 3DVT helped to understand the anatomy and/or to detect vascular abnormalities. In six cases (54.5%) 3DVT led to a variation of the surgical planning. 3DVT may be helpful in planning preoperatively the most appropriate surgical procedure. Further large-scale, well-designed studies are needed to prove its true effectiveness in HPB surgical oncology.

Indexed as

HepatectomyImaging, Three-DimensionalLiverLiver NeoplasmsTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedPreoperative Care3D reconstruction3D renderingComplex hepatobiliary surgery

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Registered trials

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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.