ArticleShape in medical imaging : International Workshop, ShapeMI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018 : proceedings. ShapeMI (Workshop) (2018 : Granada, Spain)2018
On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application.
Article in Shape in medical imaging : International Workshop, ShapeMI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018 : proceedings. ShapeMI (Workshop) (2018 : Granada, Spain), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Three-Dimensional Osseous Alignment and Morphology Patterns of Ankle and Hindfoot Osteoarthritis.Foot & ankle international · 2026Article
- Population-specific statistical shape modeling of the Japanese shoulder: a combined analysis of the scapula and humerus stratified by sex and stature.JSES international · 2026Article
- Investigation of Anatomical and Morphological Variations in the Femur of a Chinese Population Using Statistical Shape Model.Orthopaedic surgery · 2026Article
- Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review.Journal of clinical medicine · 2024Review
- Three-dimensional bone morphology is a risk factor for medial postmeniscectomy syndrome: A retrospective cohort study.Journal of experimental orthopaedics · 2024Article
- DeepSSM: A blueprint for image-to-shape deep learning models.Medical image analysis · 2024Article
- On preserving anatomical detail in statistical shape analysis for clustering: focus on left atrial appendage morphology.Frontiers in network physiology · 2024Article
- Prediction of the Proximal Humerus Morphology Based on a Statistical Shape Model with Two Parameters: Comparison to Contralateral Registration Method.Bioengineering (Basel, Switzerland) · 2023Article
- Feasibility study for the automatic surgical planning method based on statistical model.Journal of orthopaedic surgery and research · 2023Article
- Learning spatiotemporal statistical shape models for non-linear dynamic anatomies.Frontiers in bioengineering and biotechnology · 2023Article
- Statistical multi-level shape models for scalable modeling of multi-organ anatomies.Frontiers in bioengineering and biotechnology · 2023Article
- Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.Medical image analysis · 2022Article
- Leveraging unsupervised image registration for discovery of landmark shape descriptor.Medical image analysis · 2021Article
- Nonlinear interaction between APOE ε4 allele load and age in the hippocampal surface of cognitively intact individuals.Human brain mapping · 2021Article
- Thinking outside the glenohumeral box: Hierarchical shape variation of the periarticular anatomy of the scapula using statistical shape modeling.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020Article
- Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints.Shape in Medical Imaging : International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings · 2020Article
- Right Ventricular Shape Distortion in Tricuspid Regurgitation.Computing in cardiology · 2020Article
- Shape and flow characterization of the pulmonary arteries after the LeCompte maneuver.JRSM cardiovascular diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Statistical shape modeling (SSM) has proven useful in many areas of biology and medicine as a new generation of morphometric approaches for the quantitative analysis of anatomical shapes. Recently, the increased availability of high-resolution in vivo images of anatomy has led to the development and distribution of open-source computational tools to model anatomical shapes and their variability within populations with unprecedented detail and statistical power. Nonetheless, there is little work on the evaluation and validation of such tools as related to clinical applications that rely on morphometric quantifications for treatment planning. To address this lack of validation, we systematically assess the outcome of widely used off-the-shelf SSM tools, namely ShapeWorks, SPHARM-PDM, and Deformetrica, in the context of designing closure devices for left atrium appendage (LAA) in atrial fibrillation (AF) patients to prevent stroke, where an incomplete LAA closure may be worse than no closure. This study is motivated by the potential role of SSM in the geometric design of closure devices, which could be informed by population-level statistics, and patient-specific device selection, which is driven by anatomical measurements that could be automated by relating patient-level anatomy to population-level morphometrics. Hence, understanding the consequences of different SSM tools for the final analysis is critical for the careful choice of the tool to be deployed in real clinical scenarios. Results demonstrate that estimated measurements from ShapeWorks model are more consistent compared to models from Deformetrica and SPHARM-PDM. Furthermore, ShapeWorks and Deformetrica shape models capture clinically relevant population-level variability compared to SPHARM-PDM models.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.