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Data · dataset · 2025

Data from: Is fractal analysis a reliable indicator for predicting early implant loss? A retrospective study.

Listed in Teesside University Research Data Repository

This dataset supports the retrospective case-control study titled "Is fractal analysis a reliable indicator for predicting early implant loss?

Description

A retrospective study.". It contains anonymized patient-level and group-level data, including fractal dimension and lacunarity values derived from panoramic radiographs and cone-beam computed tomography (CBCT) images.

Fractal analysis was performed using ImageJ, BoneJ and the FracLac plugin, applying both White & Rudolph's and Kato et al.'s methods. Statistical analyses were conducted in SPSS. The dataset includes raw individual values, descriptive summaries, and group-wise comparative statistics.

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All data are fully anonymized and formatted for reuse.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Computed tomography 75% · Image 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/yd3t56z4y2.110 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:3203mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Dentistry']
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:ctenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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