Evidence map›Paper›PMID 40011346›Full record

ArticleJournal of imaging informatics in medicine2025

A Proof-of-Concept Solution for Co-locating 2D Histology Images in 3D for Histology-to-CT and MR Image Registration: Closing the Loop for Bone Sarcoma Treatment Planning.

Robert Phillips, Constantine Zakkaroff, Keren Dittmer, Nicholas Robilliard, Kenzie Baer, Anthony Butler

Abstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Robert PhillipsThe University of Otago - Canterbury, Christchurch, New Zealand. Robertphillips8023@gmail.com.ORCID https://orcid.org/0009-0009-2081-3731
Constantine ZakkaroffUniversity of Canterbury, Christchurch, New Zealand.ORCID http://orcid.org/0000-0003-3668-8794
Keren DittmerMassey University, Palmerston North, New Zealand.ORCID https://orcid.org/0000-0002-1813-2197
Nicholas RobilliardTe Whatu Ora (Canterbury Health Labs), Christchurch, New Zealand.
Kenzie BaerThe University of Otago - Canterbury, Christchurch, New Zealand.ORCID http://orcid.org/0000-0003-0468-0958
Anthony ButlerTe Whatu Ora, Christchurch, New Zealand.ORCID http://orcid.org/0000-0002-1929-4112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a proof-of-concept solution designed to facilitate more accurate radiographic feature characterisation in pre-surgical CT/MR volumes. The solution involves 3D co-location of 2D digital histology slides within ex-vivo, tumour tissue CT volumes. Initially, laboratory dissection measurements seed the placement of histology slices in corresponding CT volumes, followed by in-plane point-based registration of bone in histology images to the bone in CT. Validation using six bisected canine humerus ex-vivo CT datasets indicated a plane misalignment of 0.19 ± 1.8 mm. User input sensitivity was assessed at 0.08 ± 0.2 mm for plane translation and 0-1.6° deviation. These results show a similar magnitude of error to related prostate histology co-location work. Although demonstrated with a femoral canine sarcoma tumour, this solution can be generalised to various orthopaedic geometries and sites. It supports high-fidelity histology image co-location to improve understanding of tissue characterisation accuracy in clinical radiology. This solution requires only minimal adjustment to routine workflows. By integrating histology insights earlier in the presentation-diagnosis-planning-surgery-recovery loop, this solution guides data co-location to support the continued evaluation of safe pre-surgical margins.

Indexed as

Bone NeoplasmsImaging, Three-DimensionalMagnetic Resonance ImagingSarcomaTomography, X-Ray ComputedAnimalsDogsMaleProof of Concept StudyHistopathology digitisationOrthopaedic oncologyPatient-specific treatmentRadiopathologyTranslational research

Identifiers

PMID40011346
PMCPMC12701169

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.