Eva Haeussner1, Beate Aschauer1, Graham J Burton2, Berthold Huppertz3, Franz Edler von Koch4, Jens Müller-Starck1, Carolyn Salafia5, Christoph Schmitz1, Hans-Georg Frank6. 1. Ludwig-Maximilians-University, Department of Anatomy II, Munich, Germany. 2. University of Cambridge, Department of Physiology, Development and Neuroscience, Cambridge, UK. 3. Medical University of Graz, Institute of Cell Biology, Histology and Embryology, Graz, Austria. 4. Clinic for Obstetrics and Gynecology, Dritter Orden, Munich, Germany. 5. Placental Analytics LLC, Larchmont, USA; New York Methodist Hospital, Department of Obstetrics and Gynecology and Pediatrics, NY, USA. 6. Ludwig-Maximilians-University, Department of Anatomy II, Munich, Germany. Electronic address: hans-georg.frank@med.uni-muenchen.de.
Abstract
INTRODUCTION: The villous tree of human placentas is a complex three-dimensional (3D) structure which enables fetomaternal exchange. Current concepts of microscopic analyses are based on the analysis of two-dimensional (2D) histologic sections. For this approach, the assessment of the stromal core of sectioned villi is of key importance. The classification of stromal properties of sectioned villi allows allocation of villous sections to villous types which are named by their expected position in villous trees (terminal, intermediate, and stem villi). METHOD: The present study takes these current concepts of placental histology as hypothesis and validates them against predetermined 3D positions of branches of villous trees. The 3D positions were determined prior to histologic sectioning using a recently introduced 3D-microscopic approach. Individual histologic sections of villi were classified by their stromal structures and inter rater variability of these histologic assessments were determined. RESULTS/DISSCUSSION: Inter rater variability was high and indicates substantial observer influence on the outcome of histologic assessments. Cross-match of villous types with the predetermined positions of villous branches of villous trees revealed substantial mismatch between the outcome of stromal classification and 3D-position of the sectioned villi in the placental villous trees.
INTRODUCTION: The villous tree of human placentas is a complex three-dimensional (3D) structure which enables fetomaternal exchange. Current concepts of microscopic analyses are based on the analysis of two-dimensional (2D) histologic sections. For this approach, the assessment of the stromal core of sectioned villi is of key importance. The classification of stromal properties of sectioned villi allows allocation of villous sections to villous types which are named by their expected position in villous trees (terminal, intermediate, and stem villi). METHOD: The present study takes these current concepts of placental histology as hypothesis and validates them against predetermined 3D positions of branches of villous trees. The 3D positions were determined prior to histologic sectioning using a recently introduced 3D-microscopic approach. Individual histologic sections of villi were classified by their stromal structures and inter rater variability of these histologic assessments were determined. RESULTS/DISSCUSSION: Inter rater variability was high and indicates substantial observer influence on the outcome of histologic assessments. Cross-match of villous types with the predetermined positions of villous branches of villous trees revealed substantial mismatch between the outcome of stromal classification and 3D-position of the sectioned villi in the placental villous trees.
Authors: Philippe Vangrieken; Sizzle F Vanterpool; Frederik J van Schooten; Salwan Al-Nasiry; Peter Andriessen; Ellen Degreef; Joachim Alfer; Boris W Kramer; Ulrike von Rango Journal: Histol Histopathol Date: 2020-01-27 Impact factor: 2.303
Authors: Nirav Barapatre; Eva Haeussner; David Grynspan; Christoph Schmitz; Franz Edler von Koch; Hans-Georg Frank Journal: Sci Rep Date: 2019-02-20 Impact factor: 4.379
Authors: Marius Lahti-Pulkkinen; Melissa Jane Cudmore; Eva Haeussner; Christoph Schmitz; Anu-Katriina Pesonen; Esa Hämäläinen; Pia M Villa; Susanna Mehtälä; Eero Kajantie; Hannele Laivuori; Rebecca M Reynolds; Hans-Georg Frank; Katri Räikkönen Journal: Sci Rep Date: 2018-01-15 Impact factor: 4.379