Accuracy and Reliability of Pelvimetry Measures Obtained by Manual or Automatic Labeling of Three-Dimensional Pelvic Models

(1) Background: The morphology of the pelvic cavity is important for decision-making in obstetrics. This study aimed to estimate the accuracy and reliability of pelvimetry measures obtained when radiologists manually label anatomical landmarks on three-dimensional (3D) pelvic models. A second objective was to design an automatic labeling method. (2) Methods: Three operators segmented 10 computed tomography scans each. Three radiologists then labeled 12 anatomical landmarks on the pelvic models, which allowed for the calculation of 15 pelvimetry measures. Additionally, an automatic labeling method was developed based on a reference pelvic model, including reference anatomical landmarks, matching the individual pelvic models. (3) Results: Heterogeneity among landmarks in radiologists' labeling accuracy was observed, with some landmarks being rarely mislabeled by more than 4 mm and others being frequently mislabeled by 10 mm or more. The propagation to the pelvimetry measures was limited; only one out of the 15 measures reported a median error above 5 mm or 5°, and all measures showed moderate to excellent inter-radiologist reliability. The automatic method outperformed manual labeling. (4) Conclusions: This study confirmed the suitability of pelvimetry measures based on manual labeling of 3D pelvic models. Automatic labeling offers promising perspectives to decrease the demand on radiologists, standardize the labeling, and describe the pelvic cavity in more detail.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:13

Enthalten in:

Journal of clinical medicine - 13(2024), 3 vom: 25. Jan.

Sprache:

Englisch

Beteiligte Personen:

Hêches, Johann [VerfasserIn]
Marcadent, Sandra [VerfasserIn]
Fernandez, Anna [VerfasserIn]
Adjahou, Stephen [VerfasserIn]
Meuwly, Jean-Yves [VerfasserIn]
Thiran, Jean-Philippe [VerfasserIn]
Desseauve, David [VerfasserIn]
Favre, Julien [VerfasserIn]

Links:

Volltext

Themen:

3D model
Anatomical landmarks
Atlas
Birth delivery
Cephalopelvic disproportion
Cesarean section
Computed tomography
Journal Article
Labeling
Pelvimetry
Pelvis
Registration
Segmentation

Anmerkungen:

Date Revised 12.02.2024

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/jcm13030689

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368268721