Evidence map›Paper›PMID 42771654›Full record

ArticlePloS one2026

Virtuality VS Reality: Testing a virtual approach for the exploratory analysis of Bronze Age urns from Northern Italy.

Lucia Martina Scalise, Maria Pia Morigi, Claudio Cavazzuti, Rosa Brancaccio, Enrico R Crema, Marco Seracini, Stefano Benazzi, Emma Pomeroy

Abstract readHistorical Article
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Lucia Martina ScaliseDepartment of Archaeology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-3263-2523
Maria Pia MorigiDepartment of Physics and Astronomy "Augusto Righi", University of Bologna, Bologna, Italy.
Claudio CavazzutiDepartment of History and Cultures, University of Bologna, Bologna, Italy.
Rosa BrancaccioNational Institute of Nuclear Physics (INFN), Ferrara Division, Ferrara, Italy.ORCID https://orcid.org/0000-0002-6240-5586
Enrico R CremaDepartment of Archaeology, University of Cambridge, Cambridge, United Kingdom.
Marco SeraciniDepartment of Physics and Astronomy "Augusto Righi", University of Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0001-6599-3232
Stefano BenazziDepartment of Cultural Heritage, University of Bologna, Ravenna, Italy.
Emma PomeroyDepartment of Archaeology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-6251-2165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cremation is among the most destructive funerary practices. Over the past 30 years, radiographic imaging has increasingly been used to non-destructively extract information from cremation burials. Advances in scanners and imaging software have enhanced the quality of data retrievable through this method. However, scanning cremated remains, particularly when urned, presents challenges due to their fragility, size, material density overlaps, and the high cost of imaging equipment. These factors often result in low-quality images where distinguishing different materials becomes difficult and time-consuming. This exploratory research aims to provide and assess qualitative and quantitative information from tomographic images on burials' taphonomy, biological profiles (sex and age at death), Minimum Number of Individuals (MNI) and thermal alterations to the bones and to evaluate a relatively simple segmentation strategy to analyse the spatial distribution of the remains in the vessels. For this purpose, 10 non-micro-excavated urns from the Middle-Late Bronze Age necropolis of Vicofertile (Parma, Italy) were scanned using Computerised Tomography (CT), subsequently micro-excavated, and the remains analysed to compare the information obtained from the two approaches. When extracted, data about the age classes, burial taphonomy, and heat-induced changes to the bones (e.g., fractures) were confirmed by the physical analysis, while the MNI, hypothesised to be 10 from the scans, was increased by one. Sex estimation was not possible from the scans. The vertical and horizontal distribution of the remains was estimated for cranial, long, spongy bones, upper, lower limbs, and trunk elements, with the vertical cranial distribution being the most accurately predicted category. Overall, the physical analysis proved essential to refine the results of virtual analysis and deal with the drawbacks of low-quality images. Despite the limitations discussed here, this research presents the largest systematic comparison of tomographic imaging and physical analysis of urned cremations to date, highlighting both the potential and the current limitations of CT-based investigation.

Indexed as

CremationVirtual RealityBone and BonesBurialFemaleHistory, AncientHumansItalyMaleTomography, X-Ray Computed

Identifiers

PMID42771654
PMCPMC13596811

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.