Evidence map›Paper›PMID 41496890›Full record

ArticleComputational and structural biotechnology journal2025

A DICOM-based standard for quantitative physical rehabilitation.

Alessandro Di Matteo, Daniele Lozzi, Filippo Mignosi, Matteo Polsinelli, Giuseppe Placidi

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. CKATool: A clinical kinematic analysis toolbox for upper limb rehabilitation.Computational and structural biotechnology journal · 2025
    Article
  4. A DICOM-based standard for quantitative physical rehabilitation.Computational and structural biotechnology journal · 2025
    Article
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

5 authors.

Alessandro Di MatteoAVI-Lab, DISIM, University of L'Aquila, L'Aquila, 67100, Italy.
Daniele LozziAVI-Lab, DISIM, University of L'Aquila, L'Aquila, 67100, Italy.
Filippo MignosiAVI-Lab, DISIM, University of L'Aquila, L'Aquila, 67100, Italy.
Matteo PolsinelliDISA-MIS, University of Salerno, Fisciano, 84084, Italy.
Giuseppe PlacidiAVI-Lab, MESVA, University of L'Aquila, L'Aquila, 67100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical rehabilitation (PR) is a critical medical discipline traditionally reliant on qualitative data for procedure evaluation. Recent scientific and technological advances have provided innovative instruments and methods for measuring and evaluating PR objectively through Quantitative PR (QPR). However, the lack of a standard data format creates several challenges. These include limited interoperability between devices, difficulties in maintaining patient histories, inability to perform temporal evaluations or inter-patient comparisons, barriers to data sharing, challenges in creating common evaluation scales for therapists, and limitations in statistical analysis. This article proposes a DICOM Information Object Definition (IOD) for QPR, referred to as PR-IOD, and describes its architecture. DICOM is an established standard initially created for medical imaging, but it has recently been extended to other areas of medicine. Its primary goals are to facilitate data sharing among various devices, manage associated processes, and ensure interoperability among systems and specialists by generating structured data. The implemented PR-IOD architecture has been applied to manage data by a multiple-source hand-tracking device, the Virtual Glove (VG), used for hand rehabilitation. The corresponding DICOM files have been generated, loaded, and visualized alongside a viewer dashboard specifically tailored for PR-IOD. The source code is available at [1].

Indexed as

DICOMInformation object definitionInteroperabilityPhysical rehabilitationPR-IODVirtual glove

Identifiers

PMID41496890
PMCPMC12765952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.