Evidence map›Paper›PMID 38500784›Full record

ArticleJOR spine2024

Tracing the disc: The novel qualitative morphometric MRI based disc degeneration classification system.

Zafer Soydan, Emru Bayramoglu, Devrim Ulas Urut, Ahmet Celal Iplikcioglu, Cengiz Sen

Abstract read
In one paragraph

Article in JOR spine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Zafer SoydanBHT Clinic İstanbul Tema Hospital, Department of Orthopedics and Traumatology Nisantası University Istanbul Turkey.ORCID https://orcid.org/0000-0001-6387-8628
Emru BayramogluDepartment of Orthopedics and Traumatology Bursa City Hospital Bursa Turkey.ORCID https://orcid.org/0000-0001-8936-7594
Devrim Ulas UrutBHT Clinic İstanbul Tema Hospital Department of Radiology Istanbul Turkey.ORCID https://orcid.org/0000-0003-4763-8645
Ahmet Celal IplikciogluBHT Clinic İstanbul Tema Hospital Department of Neurochirurgie Istanbul Turkey.ORCID https://orcid.org/0000-0002-5764-5681
Cengiz Senİstanbul University Department of Orthopedics And Traumatology Istanbul Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to develop a classification system for lumbar disc degeneration using routine magnetic resonance images (MRIs) that is easily applicable and unaffected by existing classifications' limitations, and to compare its reliability, reproducibility, and discriminative power to the widely used Pfirrmann classification. Methods: Five features were graded. This new classification system has eight grades, with at least one of these five features altering each grade. The T2-weighted sagittal images were acquired using a rapid spin-echo sequence with a repetition time of 2680 to 4900 milliseconds, an echo time of 100 to 109 milliseconds, and an echo train length of 17. Slice thick was 4 mm and the display field of view was 32 × 32 cm. The new classification system used five features: signal intensity, disc height, disc boundary regularity, and nucleus annulus separation. Increased signal intensity, decreased height, decreased regularity, and decreased nucleus-annulus separation indicated degeneration. Four raters classified 400 discs from 80 patients using the Pfirrmann and Novel systems. Statistical analyses were conducted to investigate reliability and correlation. Results: The overall ICC and kappa values were found to be higher in the novel classification. (0.988 indicating excellent agreement for ICC and 0.76/0.94 indicating good-very good agreement for kappa). The Kendall tau Conclusions: This study demonstrates the intra-rater and inter-rater reliability of an easy-to-use, discriminative novel morphometric MRI based classification system for lumbar disc degeneration. The differentiation of grades based on five distinct criteria may generate novel hypotheses regarding treatment selection and response monitoring, as well as new insights into the study of disc degeneration.

Indexed as

disc degenerationMRInovel morphometric classificationreliability tests

Identifiers

PMID38500784
PMCPMC10945309

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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.