Volumetric bone marrow cellularity (VBMC) assessment from routinely processed trephines using three-dimensional x-ray histology and Gaussian peak modelling

OBJECTIVE: Bone marrow cellularity is routinely estimated from a small number of 2D histology sections, making assessment sensitive to section representativeness, processing artefacts and observer interpretation. Three-dimensional X-ray histology (XRH), using computed microtomography (µCT), enables non-destructive whole-block imaging of trephine biopsies. This study evaluated whether XRH combined with Gaussian-peak modelling could provide a pragmatic whole-block volumetric bone marrow cellularity (VBMC) estimate from formalin-fixed paraffin-embedded (FFPE) trephine biopsy blocks. APPROACH: Six routinely processed FFPE bone marrow trephine blocks were imaged using µCT-based XRH at ~15 µm resolution. VBMC was defined as the red-marrow (RM) fraction of the marrow soft-tissue compartment, RM/(RM+intra-biopsy wax), with wax serving as the volumetric proxy for adipocyte/yellow marrow space. Whole-volume greyscale histograms were modelled using a three-peak Gaussian approach representing intra-biopsy wax, red marrow and demineralised trabecular matrix. Peak-height and area-under-the-curve metrics were compared with whole-volume 3D segmentation and clinical 2D cellularity estimates. MAIN RESULTS: Gaussian peak modelling successfully approximated the segmented tissue-phase distributions. The peak-height-derived VBMC metric showed the closest agreement with whole-volume 3D segmentation, with an average absolute percentage difference of 9.3%, compared with 18.6% for clinical expert 2D cellularity estimates. The area-under-the-curve metric followed similar trends but consistently overestimated VBMC. Clinical 2D cellularity broadly followed whole-biopsy trends but showed one discordant case not explained by slice-position sampling alone. XRH also enabled unrestricted virtual reslicing and visualisation of sectioning-associated artefacts prior to further microtomy. SIGNIFICANCE: Pre-sectioning XRH combined with Gaussian peak modelling provides a rapid, segmentation-free route to volumetric cellularity estimation from intact clinical FFPE trephine blocks. The approach supports objective whole-biopsy assessment while remaining compatible with routine histopathology workflows, reflecting the expected limitations of section-based visual estimation despite its role as the current clinical standard. In the near term, it could provide a non-disruptive adjunct to conventional 2D cellularity reporting, pending larger validation studies.

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Publication Details

Journal
Physics in Medicine and Biology
Published
2026-08-20
DOI
https://doi.org/10.1088/1361-6560/ae9c84
Primary Topic
Hematological disorders and diagnostics
Type
article
Field-Weighted Citation Impact
0.00

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article

Volumetric bone marrow cellularity (VBMC) assessment from routinely processed trephines using three-dimensional x-ray histology and Gaussian peak modelling

Alex Dickinson, Philipp Schneider, Kim Orchard, Orestis L. Katsamenis et al.
Physics in Medicine and Biology
Hematological disorders and diagnostics
article

Volumetric bone marrow cellularity (VBMC) assessment from routinely processed trephines using three-dimensional x-ray histology and Gaussian peak modelling

Alex Dickinson, Philipp Schneider, Kim Orchard, Orestis L. Katsamenis, Elizabeth Morris, Stephanie Robinson, Sofia Michopoulou, Richard Boardman
article en

Abstract

OBJECTIVE: Bone marrow cellularity is routinely estimated from a small number of 2D histology sections, making assessment sensitive to section representativeness, processing artefacts and observer interpretation. Three-dimensional X-ray histology (XRH), using computed microtomography (µCT), enables non-destructive whole-block imaging of trephine biopsies. This study evaluated whether XRH combined with Gaussian-peak modelling could provide a pragmatic whole-block volumetric bone marrow cellularity (VBMC) estimate from formalin-fixed paraffin-embedded (FFPE) trephine biopsy blocks. APPROACH: Six routinely processed FFPE bone marrow trephine blocks were imaged using µCT-based XRH at ~15 µm resolution. VBMC was defined as the red-marrow (RM) fraction of the marrow soft-tissue compartment, RM/(RM+intra-biopsy wax), with wax serving as the volumetric proxy for adipocyte/yellow marrow space. Whole-volume greyscale histograms were modelled using a three-peak Gaussian approach representing intra-biopsy wax, red marrow and demineralised trabecular matrix. Peak-height and area-under-the-curve metrics were compared with whole-volume 3D segmentation and clinical 2D cellularity estimates. MAIN RESULTS: Gaussian peak modelling successfully approximated the segmented tissue-phase distributions. The peak-height-derived VBMC metric showed the closest agreement with whole-volume 3D segmentation, with an average absolute percentage difference of 9.3%, compared with 18.6% for clinical expert 2D cellularity estimates. The area-under-the-curve metric followed similar trends but consistently overestimated VBMC. Clinical 2D cellularity broadly followed whole-biopsy trends but showed one discordant case not explained by slice-position sampling alone. XRH also enabled unrestricted virtual reslicing and visualisation of sectioning-associated artefacts prior to further microtomy. SIGNIFICANCE: Pre-sectioning XRH combined with Gaussian peak modelling provides a rapid, segmentation-free route to volumetric cellularity estimation from intact clinical FFPE trephine blocks. The approach supports objective whole-biopsy assessment while remaining compatible with routine histopathology workflows, reflecting the expected limitations of section-based visual estimation despite its role as the current clinical standard. In the near term, it could provide a non-disruptive adjunct to conventional 2D cellularity reporting, pending larger validation studies.

Physics in Medicine and Biology
University Hospital Southampton NHS Foundation Trust (GB), University of Southampton (GB)
Nvidia, National Institute for Health and Care Research, Department of Health and Social Care, University of Southampton, National Institute for Health and Care Research Applied Research Collaboration Oxford and Thames Valley
Openalex Percentile: Top 7%
Hematological disorders and diagnostics
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