Evidence map›Paper›PMID 33398570›Full record

ArticleSurgical endoscopy2021

Effects of laparoscopy, laparotomy, and respiratory phase on liver volume in a live porcine model for liver resection.

Hannes G Kenngott, Felix Nickel, Anas A Preukschas, Martin Wagner, Shivalik Bihani, Emre Özmen, Philipp A Wise, Nadine Bellemann, Christof M Sommer, Tobias Norajitra and 5 more

Abstract read
In one paragraph

Article in Surgical endoscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

15 authors.

Hannes G KenngottDepartment of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Felix NickelDepartment of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Anas A PreukschasDepartment of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Martin WagnerDepartment of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Shivalik BihaniDepartment of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Emre ÖzmenDepartment of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Philipp A WiseDepartment of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Nadine BellemannDepartment of Diagnostic and Interventional Radiology, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Christof M SommerDepartment of Diagnostic and Interventional Radiology, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Tobias NorajitraDivision of Medical and Biological Informatics, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Bastian GraserDivision of Medical and Biological Informatics, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Christian StockInstitute of Medical Biometry and Informatics, Heidelberg University, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Marco NoldenDivision of Medical and Biological Informatics, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Araineb MehrabiDepartment of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Beat P Müller-StichDepartment of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany. beat.mueller@med.uni-heidelberg.de.ORCID 0000-0002-8552-8538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatectomy, living donor liver transplantations and other major hepatic interventions rely on precise calculation of the total, remnant and graft liver volume. However, liver volume might differ between the pre- and intraoperative situation. To model liver volume changes and develop and validate such pre- and intraoperative assistance systems, exact information about the influence of lung ventilation and intraoperative surgical state on liver volume is essential.

methodsThis study assessed the effects of respiratory phase, pneumoperitoneum for laparoscopy, and laparotomy on liver volume in a live porcine model. Nine CT scans were conducted per pig (N = 10), each for all possible combinations of the three operative (native, pneumoperitoneum and laparotomy) and respiratory states (expiration, middle inspiration and deep inspiration). Manual segmentations of the liver were generated and converted to a mesh model, and the corresponding liver volumes were calculated.

resultsWith pneumoperitoneum the liver volume decreased on average by 13.2% (112.7 ml ± 63.8 ml, p < 0.0001) and after laparotomy by 7.3% (62.0 ml ± 65.7 ml, p = 0.0001) compared to native state. From expiration to middle inspiration the liver volume increased on average by 4.1% (31.1 ml ± 55.8 ml, p = 0.166) and from expiration to deep inspiration by 7.2% (54.7 ml ± 51.8 ml, p = 0.007).

conclusionsConsiderable changes in liver volume change were caused by pneumoperitoneum, laparotomy and respiration. These findings provide knowledge for the refinement of available preoperative simulation and operation planning and help to adjust preoperative imaging parameters to best suit the intraoperative situation.

Indexed as

LaparoscopyLiver TransplantationAnimalsHepatectomyHumansImaging, Three-DimensionalLaparotomyLiverLiving DonorsSwineComputer assistanceLiver volumeNavigationOperation planningRespiratory phaseSoft tissue surgery

Identifiers

PMID33398570
PMCPMC8599330

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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.