Evidence map›Paper›PMID 33157932›Full record

ArticleMedicine2020

MR imaging features and a redefinition of the classification system for nodular fasciitis.

Shi-Yong Wu, Jin Zhao, Hai-Yan Chen, Miao-Miao Hu, Yin-Yuan Zheng, Ji-Kang Min, Ri-Sheng Yu

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Shi-Yong WuDepartment of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou.
Jin ZhaoDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou.
Hai-Yan ChenDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou.
Miao-Miao HuDepartment of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou.
Yin-Yuan ZhengDepartment of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou.
Ji-Kang MinDepartment of Orthopedics, The First Affiliated Hospital of Huzhou University, Huzhou, China.
Ri-Sheng YuDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou.ORCID 0000-0003-0554-9484
Huzhou University · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To analyze magnetic resonance imaging features of nodular fasciitis and redefine the system for classifying this class of lesions.Twenty-seven patients with nodular fasciitis and 71 patients with other soft tissue lesions who underwent surgery or biopsy were retrospectively analysed. Demographic information, medical history, and magnetic resonance imaging features were collected. Classification of nodular fasciitis was performed based on a redefined system. Comparison between 2 groups was performed with Chi-square or Fisher exact test.For nodular fasciitis, the longest average lesion diameter was 1.87 cm (range, 0.52-5.46 cm), and 40.7% of lesions were located in the upper extremities, while 29.6% were located in the head and neck. Compared with skeletal muscle, most lesions exhibited isointensity on T1-weighted imaging and hyperintensity on T2-weighted imaging, and 45.5% of the lesions exhibited rim enhancement, 40.9% showed obvious homogenous enhancement, while 13.6% showed no enhancement or slight enhancement. The subcutaneous type accounted for 25.9% of cases, the fascial type 25.9%, the intramuscular type 29.6%, and the unclassified type 18.5%. The "fascia tail sign" was more frequently observed in nodular fasciitis than in other soft tissue lesions (P < .001). Nodular fasciitis was slightly more likely to present with the "inverted target sign" and "solar halo sign" than other soft tissue lesions (P > .05). The "cloud sign" only appeared in nodular fasciitis (P < .05).The "fascia tail sign" and "cloud sign" could help differentiate nodular fasciitis from other soft tissue lesions. A new classification may improve understanding about nodular fasciitis.

Indexed as

Magnetic Resonance ImagingAdolescentAdultAgedChildContrast MediaFasciitisFemaleHumansMaleMiddle AgedRetrospective StudiesYoung AdultContrast Media

Identifiers

PMID33157932
PMCPMC7647516
OpenAlexW3096844611

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.