Evidence map›Paper›PMID 27583465›Full record

ArticlePloS one2016

Statistical Analysis of Interactive Surgical Planning Using Shape Descriptors in Mandibular Reconstruction with Fibular Segments.

Megumi Nakao, Shimpei Aso, Yuichiro Imai, Nobuhiro Ueda, Toshihide Hatanaka, Mao Shiba, Tadaaki Kirita, Tetsuya Matsuda

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Virtual Surgical Planning: The Pearls and Pitfalls.Plastic and reconstructive surgery. Global open · 2018
    Article
  2. Article
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

8 authors.

Megumi NakaoGraduate School of Informatics, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0002-5508-4366
Shimpei AsoGraduate School of Informatics, Kyoto University, Kyoto, Japan.
Yuichiro ImaiDepartment of Oral and Maxillofacial Surgery, Rakuwakai Otowa Hospital, Kyoto, Japan.
Nobuhiro UedaDepartment of Oral and Maxillofacial Surgery, Nara Medical University, Nara, Japan.
Toshihide HatanakaDepartment of Oral and Maxillofacial Surgery, Nara Medical University, Nara, Japan.
Mao ShibaDepartment of Oral and Maxillofacial Surgery, Nara Medical University, Nara, Japan.
Tadaaki KiritaDepartment of Oral and Maxillofacial Surgery, Nara Medical University, Nara, Japan.
Tetsuya MatsudaGraduate School of Informatics, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was performed to quantitatively analyze medical knowledge of, and experience with, decision-making in preoperative virtual planning of mandibular reconstruction. Three shape descriptors were designed to evaluate local differences between reconstructed mandibles and patients' original mandibles. We targeted an asymmetrical, wide range of cutting areas including the mandibular sidepiece, and defined a unique three-dimensional coordinate system for each mandibular image. The generalized algorithms for computing the shape descriptors were integrated into interactive planning software, where the user can refine the preoperative plan using the spatial map of the local shape distance as a visual guide. A retrospective study was conducted with two oral surgeons and two dental technicians using the developed software. The obtained 120 reconstruction plans show that the participants preferred a moderate shape distance rather than optimization to the smallest. We observed that a visually plausible shape could be obtained when considering specific anatomical features (e.g., mental foramen. mandibular midline). The proposed descriptors can be used to multilaterally evaluate reconstruction plans and systematically learn surgical procedures.

Indexed as

AlgorithmsHumansMandibular ReconstructionModels, AnatomicPatient Care PlanningSoftwareSurgery, Computer-AssistedUser-Computer Interface

Identifiers

PMID27583465
PMCPMC5008776

What OpenQuestion holds

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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.