ISQ at placement: useful stability indicator, but not a predictor of long-term survival

Source study: Resonance Frequency Analysis and Clinical Outcomes in Implant Dentistry: A Systematic Review and Meta-Analysis.Clinical implant dentistry and related research

In brief

  • ISQ shows a moderate, statistically significant correlation with insertion torque (pooled r = 0.44) across 20 pooled studies, but shared variance is below 20%.
  • Current evidence does not support baseline ISQ as an independent predictor of marginal bone loss or implant survival.
  • High heterogeneity across studies — from implant systems to RFA device calibration — limits cross-study interpretation and individual-case predictive power.
  • RFA adds value as a complementary stability check at placement; it should not be used in isolation to decide loading protocols or predict osseointegration outcomes.

Resonance frequency analysis (RFA) has become a standard tool in implant dentistry for assessing implant stability, yet its actual prognostic value remains contested. This systematic review and meta-analysis set out to define, with quantitative precision, the relationship between the Implant Stability Quotient (ISQ) — the numerical output of RFA — and three clinically relevant parameters: insertion torque (IT), marginal bone loss (MBL), and implant survival or success rates.

Following PRISMA guidelines, the authors searched MEDLINE, Scopus, and Web of Science, framing the inquiry around a PIO question focused on systemically healthy patients undergoing implant placement. Forty-eight studies met inclusion criteria, of which 20 provided sufficient data for meta-analytic pooling of the ISQ–IT correlation. Risk of bias was evaluated using design-appropriate methodological tools.

The central quantitative finding is a moderate, statistically significant correlation between ISQ and IT (pooled r = 0.44; 95% CI: 0.32–0.55; p < 0.001). This means that higher insertion torque — reflecting greater bone density and cortical engagement at placement — does tend to correspond with higher ISQ values, confirming that both metrics capture overlapping but not identical aspects of primary stability. However, the association explains less than 20% of the shared variance, which limits its predictive power in individual cases. Heterogeneity across studies was substantial, reflecting differences in implant systems, bone quality classification, surgical protocols, and RFA device calibration.

Regarding MBL and implant survival, the evidence was insufficient to support baseline ISQ as an independent predictor of either outcome. Studies examining these relationships were too heterogeneous in design and follow-up duration to yield reliable pooled estimates, and the overall certainty of evidence remains low.

For the practicing implantologist, the clinical take-home is nuanced. ISQ is a legitimate and useful indicator of primary stability at the time of placement — it adds information, particularly when correlated with IT, and may help guide loading protocols. But it should not be used in isolation to predict long-term bone maintenance or survival. A high ISQ at baseline does not guarantee osseointegration success, nor does a lower-than-expected value necessarily indicate future failure. The measurement is one data point among several, not a standalone prognostic test.

The review also highlights a methodological gap in the literature: the absence of standardized ISQ threshold values and inconsistent reporting practices make cross-study comparison unreliable. Future research should prioritize prospective designs with harmonized protocols, clearly defined success criteria, and longer follow-up periods to properly establish whether RFA carries independent predictive value beyond the surgical moment.

Why it matters in practice

Clinicians who rely on ISQ readings to clear implants for immediate or early loading, or to reassure themselves about long-term prognosis, should know that this meta-analysis finds no independent predictive value for bone maintenance or survival — ISQ is one data point, not a standalone test, and its interpretation remains device- and protocol-dependent.

This summary is automatically generated from the original abstract and curated by Dr. Ernesto Bruschi. Always refer to the original publication for clinical decisions.