Evidence map›Paper›PMID 42046182›Full record

ArticleJournal of clinical ultrasound : JCU2026

Femoral Skeletal Growth in Early Infancy Assessed by Radiofrequency Echographic Multi-Spectrometry.

Serafina Perrone, Virginia Beretta, Laura Cannavò, Domenico Corica, Tommaso Aversa, Giorgia Pepe, Letteria Morabito, Maria Elisabeth Street, Malgorzata Wasniewska, Tullio Ghi and 1 more

Abstract read
In one paragraph

Article in Journal of clinical ultrasound : JCU, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Serafina PerroneDepartment of Medicine and Surgery, Neonatology Unit, Pietro Barilla Children's Hospital, University of Parma, Parma, Italy.ORCID https://orcid.org/0000-0001-5478-5657
Virginia BerettaDepartment of Medicine and Surgery, Neonatology Unit, Pietro Barilla Children's Hospital, University of Parma, Parma, Italy.
Laura CannavòPediatric Intensive Care Unit, University Hospital of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-4464-9421
Domenico CoricaDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Tommaso AversaDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Giorgia PepeDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Letteria MorabitoDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Maria Elisabeth StreetDepartment of Medicine and Surgery, Paediatric Clinic, Pietro Barilla Children's Hospital, University of Parma, Parma, Italy.
Malgorzata WasniewskaDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Tullio GhiDepartment of Medicine and Surgery, Obstetrics and Gynecology Unit, University of Parma, Parma, Italy.
Andrea Dall'AstaDepartment of Medicine and Surgery, Obstetrics and Gynecology Unit, University of Parma, Parma, Italy.ORCID https://orcid.org/0000-0001-7201-0206

Funding

Italian Ministry of Health PNNR-MAD-2022-12376819
6 · The paper itself

Abstract

backgroundEarly skeletal growth represents a critical window for lifelong bone health and is influenced by genetic, nutritional, and environmental factors. However, the assessment of bone status during infancy remains challenging due to the limited feasibility of reference densitometric techniques for longitudinal use. Radiofrequency echographic multi-spectrometry (REMS) is an ultrasound-based technology validated for bone mineral density (BMD) assessment in adults, but its applicability to early infancy has not yet been established. This study aimed to explore a REMS-based approach for investigating femoral skeletal growth during early life.

methodsEighty-two healthy term infants underwent femoral REMS examinations at 3 and 6 months of age. Unfiltered radiofrequency ultrasound signals were analyzed using a multivariate framework combining fast Fourier transform (FFT) spectral analysis with partial least squares (PLS) regression. Body weight was used as an indirect surrogate marker of skeletal growth, with spectral features serving as predictors.

resultsAverage power spectra stratified according to PLS-inferred body weight demonstrated distinct spectral patterns between lower- and higher-weight infants. The PLS-based spectral model showed longitudinal consistency, preserving relative skeletal status across time points. These findings indicate that REMS-derived spectral features vary systematically with growth-related physiological changes during infancy.

conclusionsREMS-derived spectral characteristics appear to be sensitive to early skeletal growth processes in infancy. Although further studies incorporating direct bone outcomes are required to disentangle the relative contributions of body size and mineralization, this work provides foundational evidence supporting the feasibility of extending REMS technology to early life. REMS may represent a promising non-invasive and radiation-free approach for longitudinal investigation of skeletal development in pediatric populations.

Indexed as

Bone DevelopmentFemurSpectrum AnalysisBone DensityFemaleHumansInfantInfant, NewbornMaleUltrasonographybone mineral density (BMD)neonatal bone assessmentosteoporosis preventionpartial least squares (PLS)radiofrequency echographic multi‐spectrometry (REMS)skeletal growth

Identifiers

PMID42046182
PMCPMC13540521

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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.