Evidence map›Paper›PMID 27729037›Full record

ArticleWorld journal of surgical oncology2016

Tumor resection at the pelvis using three-dimensional planning and patient-specific instruments: a case series.

Thorsten Jentzsch, Lazaros Vlachopoulos, Philipp Fürnstahl, Daniel A Müller, Bruno Fuchs

Abstract readCase Reports
In one paragraph

Article in World journal of surgical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Enhancing Precision in Pelvic Tumor Reconstruction: Early Experience and Iterative Design of Custom 3D-Printed Implants.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
    Article
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  3. Tailored-Surgery for Locally Advanced Rectal Cancer Based on 3D Mathematical Reconstruction Surgical Planner: Prospective Multicenter Study.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
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  7. Individualized Design Application of 3-Dimensional Printing Navigational Template for Pedicle Screw Installation: A Training Case Report.Medical science monitor : international medical journal of experimental and clinical research · 2024
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  9. Augmented reality-guided pelvic osteotomy of Ganz: feasibility in cadavers.Archives of orthopaedic and trauma surgery · 2024
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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

5 authors.

Thorsten JentzschDepartment of Orthopedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland. thorsten.jentzsch@balgrist.ch.ORCID http://orcid.org/0000-0002-6133-3314
Lazaros VlachopoulosComputer Assisted Research and Development (CARD) Group, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Philipp FürnstahlComputer Assisted Research and Development (CARD) Group, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Daniel A MüllerDepartment of Orthopedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
Bruno FuchsDepartment of Orthopedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcomas are associated with a relatively high local recurrence rate of around 30 % in the pelvis. Inadequate surgical margins are the most important reason. However, obtaining adequate margins is particularly difficult in this anatomically demanding region. Recently, three-dimensional (3-D) planning, printed models, and patient-specific instruments (PSI) with cutting blocks have been introduced to improve the precision during surgical tumor resection. This case series illustrates these modern 3-D tools in pelvic tumor surgery.

methodsThe first consecutive patients with 3-D-planned tumor resection around the pelvis were included in this retrospective study at a University Hospital in 2015. Detailed information about the clinical presentation, imaging techniques, preoperative planning, intraoperative surgical procedures, and postoperative evaluation is provided for each case. The primary outcome was tumor-free resection margins as assessed by a postoperative computed tomography (CT) scan of the specimen. The secondary outcomes were precision of preoperative planning and complications.

resultsFour patients with pelvic sarcomas were included in this study. The mean follow-up was 7.8 (range, 6.0-9.0) months. The combined use of preoperative planning with 3-D techniques, 3-D-printed models, and PSI for osteotomies led to higher precision (maximal (max) error of 0.4 centimeters (cm)) than conventional 3-D planning and freehand osteotomies (max error of 2.8 cm). Tumor-free margins were obtained where measurable (n = 3; margins were not assessable in a patient with curettage). Two insufficiency fractures were noted postoperatively.

conclusionsThree-dimensional planning as well as the intraoperative use of 3-D-printed models and PSI are valuable for complex sarcoma resection at the pelvis. Three-dimensionally printed models of the patient anatomy may help visualization and precision. PSI with cutting blocks help perform very precise osteotomies for adequate resection margins.

Indexed as

Patient-Specific ModelingAdolescentAdultBone NeoplasmsFemaleFollow-Up StudiesHumansIliumImaging, Three-DimensionalMagnetic Resonance ImagingMaleMargins of ExcisionMiddle AgedNeoplasm Recurrence, LocalOsteotomyPatient Care Planning3-D-printed modelsPatient-specific guides (PSG)Patient-specific instruments (PSI)Patient-specific templates (PST)PelvisResection marginsSarcomasThree-dimensional (3-D, 3D) planning

Identifiers

PMID27729037
PMCPMC5057447

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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.