Evidence map›Paper›PMID 39740888›Full record

ArticleIn vivo (Athens, Greece)

Detection of Costal Cartilage Fractures on CT Images With Computer-aided Detection System for Rib Fractures.

Amiko Kayo, Nanae Tsuchiya, Koji Yonemoto, Masato Nakamura, Sadayuki Murayama, Masaki Uechi, Shota Kinjo, Masaki Sato, Hidekazu Moromizato, Shun Toyosato and 4 more

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Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Amiko KayoDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.
Nanae TsuchiyaDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan; ntsuchi@med.u-ryukyu.ac.jp.
Koji YonemotoDivision of Biostatistics, School of Health Sciences, Faculty of Medicine, University of the Ryukyus, Okinawa, Japan.
Masato NakamuraDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.
Sadayuki MurayamaDepartment of Radiology, Urasoe General Hospital, Okinawa, Japan.
Masaki UechiDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.
Shota KinjoDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.
Masaki SatoDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.
Hidekazu MoromizatoDepartment of Radiology, Nakagami Hospital, Okinawa, Japan.
Shun ToyosatoDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.
Fumikiyo GanahaDepartment of Radiology, Okinawa Prefectural Nanbu Medical Center & Children's Medical Center, Okinawa, Japan.
Yuka KawakamiDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.
Takashi MatayoshiDepartment of Radiology, Naha City Hospital, Okinawa, Japan.
Akihiro NishieDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimCostal cartilage fractures are associated with poor prognosis in patients with blunt chest trauma. A Computer-Aided Detection (CAD) system for detecting rib fractures has been used in practice, but it is unclear whether this system recognizes costal cartilage fractures. This study investigated whether the CAD system for rib fracture can detect costal cartilage fractures. PATIENTS AND

methodsA total of 89 patients with costal cartilage fractures from participating hospitals over an 18-year period were included in the study. The presence of a costal cartilage fracture was determined by three radiologists. We reviewed fracture location, cartilage calcification, dislocation, and callus formation. The percentage of agreement between the radiologists and the CAD system (Rib fracture CAD, Fujifilm Medical Co., Ltd) was assessed.

resultsWe detected 246 costal cartilage fractures in 89 patients. The costal cartilage of rib 7 was injured most frequently. Costal cartilage fractures were categorized as either mid-chondral, costochondral, or chondro-sternal. The CAD system detected 33 lesions; 16 were consistent with the costal cartilage fractures determined by the radiologists (costochondral junction 13, mid-chondral 2, chondro-sternal 1).

conclusionThe CAD system for rib fracture can detect costal cartilage fractures at the costochondral junction but is not sufficiently sensitive to detect costal cartilage fractures without calcification. The CAD system for rib fracture needs further development before it can be used to detect rib cartilage fractures.

Indexed as

Costal CartilageRib FracturesTomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overDiagnosis, Computer-AssistedFemaleHumansMaleMiddle AgedYoung Adultartificial intelligencecomputed tomographycomputer-aided detection systemCostal cartilage fracturerib fracture

Identifiers

PMID39740888
PMCPMC11705099

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LicenceCC BY-NC-ND
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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.