Evidence map›Paper›PMID 41704225›Full record

ArticleClinical and experimental dental research2026

CBCT Image Superimposition for Longitudinal Monitoring of Mandibular Cyst Healing: A Technical Note.

Francesco Fanelli, Angela Tisci, Khrystyna Zhurakivska, Giuseppe Troiano

Abstract read
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Article in Clinical and experimental dental research, 2026. 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Francesco FanelliDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.ORCID 0009-0009-3756-3580
Angela TisciDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.ORCID 0009-0004-0198-6753
Khrystyna ZhurakivskaDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.ORCID 0000-0002-2153-0778
Giuseppe TroianoDepartment of Medicine and Surgery, LUM University, Casamassima, Italy.ORCID 0000-0001-5647-4414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the effectiveness of spatial superimposition of cone-beam computed tomography (CBCT) scans acquired at baseline and 6-month follow-up for monitoring bone healing in mandibular cystic lesions, aiming to reduce variability in conventional volumetric comparisons and enhance accuracy, reproducibility, and spatial fidelity of radiographic assessments. MATERIALS AND

methodsTwo CBCT scans of a single patient (baseline, T0; follow-up, T1) were imported into 3D Slicer v5.8.0. The mandible was isolated by manually cropping a region of interest, and the cystic lesion was segmented semi-automatically using the Grow from Seeds tool. A rigid six-degree-of-freedom registration aligned T1 to T0; the resulting transformation matrix was applied to the T1 segmentation to enable direct voxel-wise comparison. Lesion volumes were measured, and spatial subtraction analysis quantified the resorbed area.

resultsLesion volume decreased from 1841.64 mm

conclusionsPotential limitations related to CBCT artifacts and the need for operator-dependent manual steps should be considered when interpreting the results. Overall, CBCT superimposition with semi-automatic segmentation provides an objective, consistent, and anatomically precise approach for monitoring mandibular cyst regression and may represent a useful tool to support conservative management strategies.

Indexed as

Cone-Beam Computed TomographyJaw CystsMandibular DiseasesArtifactsFollow-Up StudiesHumansImage Processing, Computer-AssistedImaging, Three-DimensionalLongitudinal StudiesMandibleRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSubtraction TechniqueWound Healingcone‐beam computed tomographyfollow‐up studiesimage registration techniquesjaw cysts

Identifiers

PMID41704225
PMCPMC12914340

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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.