Suscribirse

Reference standard for the evaluation of automatic segmentation algorithms: Quantification of inter observer variability of manual delineation of prostate contour on MRI - 31/01/24

Doi : 10.1016/j.diii.2023.08.001 
Sébastien Molière a, b, c, 1, , Dimitri Hamzaoui d, 1, Benjamin Granger e, Sarah Montagne f, g, h, Alexandre Allera g, Malek Ezziane g, Anna Luzurier g, Raphaelle Quint g, Mehdi Kalai g, Nicholas Ayache a, Hervé Delingette a, Raphaële Renard-Penna f, g, h
a Department of Radiology, Hôpitaux Universitaire de Strasbourg, Hôpital de Hautepierre, 67200, Strasbourg, France 
b Breast and Thyroid Imaging Unit, Institut de Cancérologie Strasbourg Europe, 67200, Strasbourg, France 
c IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, 67400, Illkirch, France 
d Inria, Epione Team, Sophia Antipolis, Université Côte d'Azur, 06902, Nice, France 
e Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, AP-HP, Hôpital Pitié Salpêtrière, Département de Santé Publique, 75013, Paris, France 
f Department of Radiology, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, 75020, Paris, France 
g Department of Radiology, Hôpital Pitié-Salpétrière, Assistance Publique-Hôpitaux de Paris, 75013, Paris, France 
h GRC N° 5, Oncotype-Uro, Sorbonne Université, 75020, Paris, France 

Corresponding author.

Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
Artículo gratuito.

Conéctese para beneficiarse!

Highlights

The number of readers affects the consistency and conformity of prostate segmentation on MRI.
Inter-rater consistency shows a tipping point with three readers, and this number also marks a tipping point in the evolution of consensus segmentation volume according to the number of readers.
Prostate segmentations exhibit maximum conformity to a reference with three readers.
Three readers may be an optimal number of raters to consider for references for artificial intelligence applications for prostate segmentation.

El texto completo de este artículo está disponible en PDF.

Abstract

Purpose

The purpose of this study was to investigate the relationship between inter-reader variability in manual prostate contour segmentation on magnetic resonance imaging (MRI) examinations and determine the optimal number of readers required to establish a reliable reference standard.

Materials and methods

Seven radiologists with various experiences independently performed manual segmentation of the prostate contour (whole-gland [WG] and transition zone [TZ]) on 40 prostate MRI examinations obtained in 40 patients. Inter-reader variability in prostate contour delineations was estimated using standard metrics (Dice similarity coefficient [DSC], Hausdorff distance and volume-based metrics). The impact of the number of readers (from two to seven) on segmentation variability was assessed using pairwise metrics (consistency) and metrics with respect to a reference segmentation (conformity), obtained either with majority voting or simultaneous truth and performance level estimation (STAPLE) algorithm.

Results

The average segmentation DSC for two readers in pairwise comparison was 0.919 for WG and 0.876 for TZ. Variability decreased with the number of readers: the interquartile ranges of the DSC were 0.076 (WG) / 0.021 (TZ) for configurations with two readers, 0.005 (WG) / 0.012 (TZ) for configurations with three readers, and 0.002 (WG) / 0.0037 (TZ) for configurations with six readers. The interquartile range decreased slightly faster between two and three readers than between three and six readers. When using consensus methods, variability often reached its minimum with three readers (with STAPLE, DSC = 0.96 [range: 0.945–0.971] for WG and DSC = 0.94 [range: 0.912–0.957] for TZ, and interquartile range was minimal for configurations with three readers.

Conclusion

The number of readers affects the inter-reader variability, in terms of inter-reader consistency and conformity to a reference. Variability is minimal for three readers, or three readers represent a tipping point in the variability evolution, with both pairwise-based metrics or metrics with respect to a reference. Accordingly, three readers may represent an optimal number to determine references for artificial intelligence applications.

El texto completo de este artículo está disponible en PDF.

Keywords : Artificial intelligence, Inter-reader variability, Magnetic resonance imaging, Prostate, Segmentation

Abbreviations : 3D, AI, ASSD, DSC, HD, HD95, IQR, MRI, PCa, PSA, STAPLE, TZ, WG


Esquema


© 2023  Société française de radiologie. Publicado por Elsevier Masson SAS. Todos los derechos reservados.
Añadir a mi biblioteca Eliminar de mi biblioteca Imprimir
Exportación

    Exportación citas

  • Fichero

  • Contenido

Vol 105 - N° 2

P. 65-73 - février 2024 Regresar al número
Artículo precedente Artículo precedente
  • Intraprocedural assessment of ablation margins using computed tomography co-registration in hepatocellular carcinoma treatment with percutaneous ablation: IAMCOMPLETE study
  • Pim Hendriks, Kiki M van Dijk, Bas Boekestijn, Alexander Broersen, Jacoba J van Duijn-de Vreugd, Minneke J Coenraad, Maarten E Tushuizen, Arian R van Erkel, Rutger W van der Meer, Catharina SP van Rijswijk, Jouke Dijkstra, Lioe-Fee de Geus-Oei, Mark C Burgmans
| Artículo siguiente Artículo siguiente
  • French community grid for the evaluation of radiological artificial intelligence solutions (DRIM France Artificial Intelligence Initiative)
  • Daphné Guenoun, Marc Zins, Pierre Champsaur, Isabelle Thomassin-Naggara, DRIM France AI Study Group

Bienvenido a EM-consulte, la referencia de los profesionales de la salud.

@@150455@@ Voir plus

Mi cuenta


Declaración CNIL

EM-CONSULTE.COM se declara a la CNIL, la declaración N º 1286925.

En virtud de la Ley N º 78-17 del 6 de enero de 1978, relativa a las computadoras, archivos y libertades, usted tiene el derecho de oposición (art.26 de la ley), el acceso (art.34 a 38 Ley), y correcta (artículo 36 de la ley) los datos que le conciernen. Por lo tanto, usted puede pedir que se corrija, complementado, clarificado, actualizado o suprimido información sobre usted que son inexactos, incompletos, engañosos, obsoletos o cuya recogida o de conservación o uso está prohibido.
La información personal sobre los visitantes de nuestro sitio, incluyendo su identidad, son confidenciales.
El jefe del sitio en el honor se compromete a respetar la confidencialidad de los requisitos legales aplicables en Francia y no de revelar dicha información a terceros.


Todo el contenido en este sitio: Copyright © 2026 Elsevier, sus licenciantes y colaboradores. Se reservan todos los derechos, incluidos los de minería de texto y datos, entrenamiento de IA y tecnologías similares. Para todo el contenido de acceso abierto, se aplican los términos de licencia de Creative Commons.