Evidence map›Paper›PMID 42258472›Full record

ArticlePloS one2026

Sub-millimeter quantification of alveolar bone loss using automated 40 MHz high-frequency ultrasound: A proof-of-concept ex vivo validation study.

Tamer Abdelrehim, Baiyan Qi, Bryant Tran, Mirali Pandya, Jesse V Jokerst, Casey Chen

Abstract readValidation Study
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

6 authors.

Tamer AbdelrehimAiiso Yufeng Li Family Department of Chemical and Nanoengineering, University of California San Diego, La Jolla, California, United States of America.
Baiyan QiAiiso Yufeng Li Family Department of Chemical and Nanoengineering, University of California San Diego, La Jolla, California, United States of America.
Bryant TranHerman Ostrow School of Dentistry, University of Southern California, Los Angeles, California, United States of America.ORCID https://orcid.org/0009-0006-7649-4360
Mirali PandyaHerman Ostrow School of Dentistry, University of Southern California, Los Angeles, California, United States of America.
Jesse V JokerstAiiso Yufeng Li Family Department of Chemical and Nanoengineering, University of California San Diego, La Jolla, California, United States of America.ORCID https://orcid.org/0000-0003-2829-6408
Casey ChenHerman Ostrow School of Dentistry, University of Southern California, Los Angeles, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This proof-of-concept study evaluated the performance of high-frequency ultrasound (HFUS, 40 MHz) for monitoring changes in alveolar bone loss and determining its detection capability and measurement precision. The study aimed to quantify system error, minimum detectable change, and agreement with a photographic ground truth measurement. An ex vivo model was used in which controlled bone loss increments were created and measured using both manual and automated HFUS methods. Measurements were compared to calibrated photographic measurements as the reference standard. System error was calculated using repeated baseline measurements, and detection capability was assessed using sensitivity analysis across incremental bone loss values. Agreement between methods was evaluated using Bland-Altman analysis and intraclass correlation coefficients (ICC). The system error ranged from 77 µm for automated image-registration measurements to 113 µm for manual measurements. The minimum detectable bone loss increment was experimentally determined to be approximately 138 µm. Detection sensitivity ranged from 79% to 100%, depending on the measurement method and increment size. Automated ultrasound measurements showed strong agreement for longitudinal change tracking, with a best-case bias of -18 µm, corresponds to less than 10% error relative to a typical 200 µm bone change increment and excellent reliability (ICC = 0.89-0.99). No significant systematic bias was observed compared with photographic measurements (P > 0.05), indicating good agreement between methods. High-frequency ultrasound demonstrated the ability to detect small longitudinal changes in alveolar bone loss and to track bone loss progression over time with high measurement precision. The main contribution of this study is demonstrating that HFUS can be used as a radiation-free method for monitoring longitudinal changes in alveolar bone loss rather than relying solely on absolute measurement accuracy.

Indexed as

Alveolar Bone LossAnimalsHumansProof of Concept StudyReproducibility of ResultsUltrasonography

Identifiers

PMID42258472
PMCPMC13245748

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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.