MétaCan
Menu
Back to cohort
Record W3038900267 · doi:10.25259/ijmsr_10_2020

Magnetic Resonance Imaging: Marrow Edema Patterns in Chronic Foot Pain

2020· article· en· W3038900267 on OpenAlexaff
Zameer Hirji, Jatin Kaicker, Timothy Ariyanayagam, Joanne Howey, Hema Choudur

Bibliographic record

VenueIndian Journal of Musculoskeletal Radiology · 2020
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsMcMaster UniversityHamilton General Hospital
Fundersnot available
KeywordsMedicineEdemaMagnetic resonance imagingBone marrowAnkleFoot (prosody)Weight-bearingSurgeryPathologyRadiology

Abstract

fetched live from OpenAlex

Objectives: The objective of the study was to determine whether there are specific magnetic resonance (MR) marrow edema patterns in patients with chronic foot pain and whether the individual small bones contribute significantly to pain. Material and Methods: A total of 153 symptomatic consecutive MR studies of patients with chronic foot pain and altered bone marrow signals of the foot and ankle were included in the study. Patients were placed into subgroups based on medial, central, or lateral marrow edema patterns. All cases with a clinical history or MR features of trauma, infection, inflammatory diseases, and tumors were excluded from the study. Statistical analysis was conducted to determine whether the marrow edema in each small bone of the subgroup was significant for the contribution of pain. Results: There were 84, 41, and 28 cases (153 patients) for the medial, central, and lateral marrow edema subgroups, respectively. The medial talus and medial and lateral sesamoid bones achieved statistical significance for an association between pain and marrow edema on MR images. Of the central group, sinus tarsi was statistically significant as a contributor of pain. None of the lateral bones were statistically significant as contributors of pain. Conclusion: Abnormal bone marrow edema patterns of the foot including the ankle on MRI fall into specific patterns of the medial, central, and lateral foot. This could be attributed to altered mechanical weight-bearing axis. The normal mechanical weight-bearing axis for the purpose of this study was along the long axis of the 2nd metatarsal, akin to the underlying seen in March fractures. The medial bone marrow edema was deemed to be a result of medial deviation of the normal mechanical weight-bearing axis, resulting in the marrow edema from the abnormal stress forces. The bone marrow edema pattern along the 2nd metatarsal was considered on the basis of excessive mechanical stress forces. The marrow edema pattern along the lateral foot, 4th and 5th metatarsals, and the lateral talus, calcaneus, and cuboid, was considered as a lateral deviation of the normal axis resulting in the abnormal stress and marrow edema pattern within these bones. By defining bone marrow edema patterns, we can assist orthopedic surgeons, physiatrists, and physiotherapists to provide appropriate corrective treatment including orthotics and physiotherapy. These MR features can also provide a baseline to monitor interval improvement after the application of the corrective measures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.254
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueIndian Journal of Musculoskeletal RadiologySame topicFoot and Ankle SurgeryFrench-language works237,207