Evidence map›Paper›PMID 29508142›Full record

ArticleSurgical endoscopy2018

Computer-assisted 3D bowel length measurement for quantitative laparoscopy.

Martin Wagner, Benjamin Friedrich Berthold Mayer, Sebastian Bodenstedt, Katherine Stemmer, Arash Fereydooni, Stefanie Speidel, Rüdiger Dillmann, Felix Nickel, Lars Fischer, Hannes Götz Kenngott

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Article in Surgical endoscopy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

10 authors.

Martin WagnerDepartment of General, Visceral and Transplant Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.ORCID 0000-0002-9831-9110
Benjamin Friedrich Berthold MayerDepartment of General, Visceral and Transplant Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Sebastian BodenstedtTranslational Surgical Oncology, National Center for Tumor Diseases - Partner Site Dresden, Dresden, Germany.
Katherine StemmerDepartment of General, Visceral and Transplant Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Arash FereydooniDepartment of General, Visceral and Transplant Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Stefanie SpeidelTranslational Surgical Oncology, National Center for Tumor Diseases - Partner Site Dresden, Dresden, Germany.
Rüdiger DillmannInstitute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Felix NickelDepartment of General, Visceral and Transplant Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Lars FischerDepartment of General, Visceral and Transplant Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Hannes Götz KenngottDepartment of General, Visceral and Transplant Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany. hannes.kenngott@med.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed at developing and evaluating a tool for computer-assisted 3D bowel length measurement (BMS) to improve objective measurement in minimally invasive surgery. Standardization and quality of surgery as well as its documentation are currently limited by lack of objective intraoperative measurements. To solve this problem, we developed BMS as a clinical application of Quantitative Laparoscopy (QL).

methodsBMS processes images from a conventional 3D laparoscope. Computer vision algorithms are used to measure the distance between laparoscopic instruments along a 3D reconstruction of the bowel surface. Preclinical evaluation was performed in phantom, ex vivo porcine, and in vivo porcine models. A bowel length of 70 cm was measured with BMS and compared to a manually obtained ground truth. Afterwards 70 cm of bowel (ground truth) was measured and compared to BMS.

resultsGround truth was 66.1 ± 2.7 cm (relative error + 5.8%) in phantom, 65.8 ± 2.5 cm (relative error + 6.4%) in ex vivo, and 67.5 ± 6.6 cm (relative error + 3.7%) in in vivo porcine evaluation when 70 cm was measured with BMS. Using 70 cm of bowel, BMS measured 75.0 ± 2.9 cm (relative error + 7.2%) in phantom and 74.4 ± 2.8 cm (relative error + 6.3%) in ex vivo porcine evaluation. After thorough preclinical evaluation, BMS was successfully used in a patient undergoing laparoscopic Roux-en-Y gastric bypass for morbid obesity.

conclusionsQL using BMS was shown to be feasible and was successfully translated from studies on phantom, ex vivo, and in vivo porcine bowel to a clinical feasibility study.

Indexed as

LaparoscopyAnimalsGastric BypassHumansImage Processing, Computer-AssistedImaging, Three-DimensionalIntestinesLaparoscopesPhantoms, ImagingSwine3D laparoscopyBowel measurementComputer-assisted surgeryQuantitative laparoscopyRoux-en-Y gastric bypass

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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.