Evidence map›Paper›PMID 36272236›Full record

ArticleMedical image analysis2023

Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.

Lei Ma, Chunfeng Lian, Daeseung Kim, Deqiang Xiao, Dongming Wei, Qin Liu, Tianshu Kuang, Maryam Ghanbari, Guoshi Li, Jaime Gateno and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical image analysis, 2023. 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. Review
  2. Article
  3. 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

15 authors.

Lei MaDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Chunfeng LianDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Daeseung KimDepartment of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX 77030, USA.
Deqiang XiaoDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Dongming WeiDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Qin LiuDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Tianshu KuangDepartment of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX 77030, USA.
Maryam GhanbariDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Guoshi LiDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Jaime GatenoDepartment of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX 77030, USA; Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, NY 10065, USA.
Steve G F ShenShanghai Ninth Hospital, Shanghai Jiaotong University College of Medicine, Shanghai 200025, China.
Li WangDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Dinggang ShenDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
James J XiaDepartment of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX 77030, USA; Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, NY 10065, USA. Electronic address: JXia@houstonmethodist.org.
Pew-Thian YapDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address: ptyap@med.unc.edu.

Funding

Outcome-Driven Approach to Minimize the Risks of Facial Distortion Following CMF SurgeryR01DE021863 · NIDCR · METHODIST HOSPITAL RESEARCH INSTITUTE · PI GATENO, JAIME · 2013 to 2025
$5.1M
A Novel Imaging Informatics Platform for Craniomaxillofacial SurgeryR01DE022676 · NIDCR · METHODIST HOSPITAL RESEARCH INSTITUTE · PI GATENO, JAIME · 2011 to 2020
$4.0M
Learning-Based Approach for Personalized Craniomaxillofacial Surgical PlanningR01DE027251 · NIDCR · METHODIST HOSPITAL RESEARCH INSTITUTE · PI GATENO, JAIME · 2017 to 2021
$2.9M
Computer Surgical Simulation for Craniofacial SurgeryR41DE016171 · NIDCR · MEDICAL MODELING, LLC · PI GATENO, JAIME · 2004 to 2004
$100k
NIDCR NIH HHS R01 DE021863NIDCR NIH HHS R01 DE022676NIDCR NIH HHS R01 DE027251NIDCR NIH HHS R41 DE016171
6 · The paper itself

Abstract

This paper proposes a deep learning framework to encode subject-specific transformations between facial and bony shapes for orthognathic surgical planning. Our framework involves a bidirectional point-to-point convolutional network (P2P-Conv) to predict the transformations between facial and bony shapes. P2P-Conv is an extension of the state-of-the-art P2P-Net and leverages dynamic point-wise convolution (i.e., PointConv) to capture local-to-global spatial information. Data augmentation is carried out in the training of P2P-Conv with multiple point subsets from the facial and bony shapes. During inference, network outputs generated for multiple point subsets are combined into a dense transformation. Finally, non-rigid registration using the coherent point drift (CPD) algorithm is applied to generate surface meshes based on the predicted point sets. Experimental results on real-subject data demonstrate that our method substantially improves the prediction of facial and bony shapes over state-of-the-art methods.

Indexed as

3D point cloudsFace-bone shape transformationOrthognathic surgical planningPoint-displacement network

Identifiers

PMID36272236
PMCPMC10445637

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.