Evidence map›Paper›PMID 40184606›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2025

Rating the Efficacy of Diagnostic Imaging Studies Conducted for the Workup of Musculoskeletal Tumors.

William T Li, Sumail Bhogal, Matthew F Gong, Alexander P Hoffman, Trudy Zou, Margaret Gajda, Rana Naous, Karen Schoedel, Carol Andrews, Andrew Cordle and 3 more

Abstract read
In one paragraph

Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2025. 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

13 authors.

William T LiFrom the Department of Orthopedic Surgery, University of Pittsburgh Medical Center (Dr. Li, Dr. Bhogal, Dr. Gong, and Dr. Hoffman); the Bone and Soft Tissue Pathology Fellowship Program, University of Pittsburgh Medical Center (Dr. Naous); the Division of Anatomic Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA (Dr. Schoedel); the Department of Radiology, Musculoskeletal Imaging Division (Dr. Andrews and Dr. Cordle); the Division of musculoskeletal oncology, University of Pittsburgh Medical Center (Dr. Lee, Dr. Weiss, and Dr. McGough); and University of Pittsburgh School of Medicine, Pittsburgh, PA (Ms. Zou and Ms. Gajda).
Sumail Bhogal
Matthew F Gong
Alexander P Hoffman
Trudy Zou
Margaret Gajda
Rana Naous
Karen Schoedel
Carol Andrews
Andrew Cordle
Stella Lee
Richard L McGough

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConcerns for missed diagnoses have led to increased ordering of diagnostic imaging. Patients with suspected musculoskeletal tumors may undergo nondiagnostic and unnecessary imaging studies before referral to a musculoskeletal oncologist. This can result in patients receiving excessive radiation exposures, accruing unnecessary costs, delays in treatment, and an unnecessary burden on healthcare systems. PURPOSE: The purposes of this study were to (1) internally rate the usefulness of imaging tests completed for musculoskeletal oncology patients undergoing evaluation using a novel scoring system, (2) determine the inter-rater reliability of providers who rated imaging tests, and (3) assess the costs incurred for imaging studies based on Medicare reimbursement rates.

methodsA single-center, retrospective study was conducted on 112 patients who presented to our musculoskeletal oncology clinic for workup of a suspected mass from February 2021 to May 2021. After obtaining institutional review board approval, information regarding all radiographic images pertinent to the patient's workup was collected through a manual chart review. Patient information and images were sent to six fellowship-trained physicians for review. Providers then graded the appropriateness of each study using a five-point rating system. Final diagnoses were divided into three categories: bone lesions, soft-tissue lesions, and metastatic skeletal lesions. Inter-rater reliability was assessed using interclass correlation coefficient tests. The cost of wasteful tests was calculated using Medicare reimbursement rates.

resultsThree hundred twenty-two imaging studies conducted on 112 patients were included in the study. For primary bone lesions, plain radiographs and MRI scans with and without contrast were the highest rated diagnostic studies. For soft-tissue lesions, MRI and CT scans without contrast were the highest rated diagnostic studies. For metastatic bone lesions, positron emission tomography/CT and MRI scans with and without contrast were highly rated diagnostic studies. For all tumor types, core needle biopsy was the highest rated invasive study. The overall interclass correlation coefficient between all providers was 0.33. 1.2% of studies ordered by our department were considered wasteful, accounting for around $1,775 (2.3%) of costs.

conclusionOur study was conducted to internally rate the usefulness of imaging tests ordered for patients who presented to a musculoskeletal oncology clinic. For all tumor types, MRI, CT, and plain radiographs were frequently rated as helpful studies. Core needle biopsy was the highest rated invasive study. Bone scans were considered of limited utility for most bone lesions. The quantity of wasteful studies was low overall. Our study demonstrates the complexity in obtaining appropriate diagnostic imaging for the evaluation of musculoskeletal tumors.

Indexed as

Bone NeoplasmsDiagnostic ImagingMuscle NeoplasmsSoft Tissue NeoplasmsAdultAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleMedicareMiddle AgedReproducibility of ResultsRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID40184606
PMCPMC11936625

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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.