Table 4 Studies using fractal analysis to evaluate implants and implant stability.

From: Decoding dental images: a comprehensive review of fractal analysis

Author(s)

Year

Aim/Objective

Key Findings

Wilding et al. [37]

1995

Monitor alveolar bone regeneration post-implant

FD increased near implant neck over time

Grizon et al. [39]

2002

Study implant surface texture

FD useful to measure surface roughness

Jung et al. [75]

2005

Study bone structure change after implants

FD changed post-implantation

Veltri et al. [76]

2007

Relate FD to damping factor

No correlation found

Yi et al. [77]

2007

Analyze anisotropy in bone

Directional FD indicated anisotropy and bone mechanical properties

Lee et al. [78]

2010

Correlating FD with Implant Stability Quotient (ISQ)

Positive correlation with ISQ

Traini et al. [38]

2010

Evaluate vascularization via FA

3 mm inter-implant distance better for vascular density

Zeytinoglu et al. [79]

2015

Monitor peri-implant bone over time

FD decreased 6 months post-loading

Mundim et al. [41]

2016

Use texture analysis for implant planning

FD useful for non-invasive implant planning

Jodha et al. [80]

2020

Study FD on failed zirconia implants

FD consistent across fracture sites; useful for fracture toughness

Lang et al. [42]

2020

Compare FD in healthy vs diseased implants

FD not valid to distinguish peri-implant health

Kis et al. [43]

2020

Assess FD in short implant survival

FD predicted implant survival

Mishra et al. [44]

2022

Review FD in implant stability

Most studies used IOPAR, CBCT, which yielded different results