Evidence map›Paper›PMID 32435931›Full record

Observational studyEuropean radiology2020

The value of the black fiber sign on T1-weighted images for predicting stability of desmoid fibromatosis managed conservatively.

Yasutaka Murahashi, Makoto Emori, Junya Shimizu, Ken Anzai, Takaaki Tanaka, Norifumi Naka, Hiroyuki Tsuchie, Hiroyuki Nagasawa, Naohisa Miyakoshi, Yoichi Shimada and 1 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 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

11 authors at 3 institutions in 1 country.

Yasutaka MurahashiDepartment of Orthopaedic Surgery, Sapporo Medical University School of Medicine, S-1, W-16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan. yayayaya1126@yahoo.co.jp.ORCID http://orcid.org/0000-0003-1835-1928
Makoto EmoriDepartment of Orthopaedic Surgery, Sapporo Medical University School of Medicine, S-1, W-16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Junya ShimizuDepartment of Orthopaedic Surgery, Sapporo Medical University School of Medicine, S-1, W-16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Ken AnzaiDepartment of Orthopaedic Surgery, Sapporo Medical University School of Medicine, S-1, W-16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Takaaki TanakaMusculoskeletal Oncology Service, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, Osaka, 541-8567, Japan.
Norifumi NakaMusculoskeletal Oncology Service, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, Osaka, 541-8567, Japan.
Hiroyuki TsuchieDepartment of Orthopaedic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, Akita, 010-8543, Japan.
Hiroyuki NagasawaDepartment of Orthopaedic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, Akita, 010-8543, Japan.
Naohisa MiyakoshiDepartment of Orthopaedic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, Akita, 010-8543, Japan.
Yoichi ShimadaDepartment of Orthopaedic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, Akita, 010-8543, Japan.
Toshihiko YamashitaDepartment of Orthopaedic Surgery, Sapporo Medical University School of Medicine, S-1, W-16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Sapporo Medical University · JPAkita University · JPOsaka International Cancer Institute · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIt is challenging to know at the first which patients with desmoid fibromatosis (DF) are better suited to conservative or aggressive treatment. To investigate whether the low signal intensity bundles on T1- or T2-weighted images (WI), termed the "black fiber sign (BFS)," can predict non-progressive behavior in the conservative approach.

methodsThis retrospective study included 59 patients with primary DF managed with wait-and-see approach from 2005 to 2018 and serial MR images were analyzed. Three observers blinded to the patient information verified the presence or absence of BFS on baseline T1 or T2WI. The likelihood of progression-free survival (PFS) after ascertaining the presence or absence of the BFS was estimated using the Kaplan-Meier method and analyzed with the log-rank test.

resultsPFS was significantly higher in cases with BFS than without BFS on T1WI (p < 0.01), but there was no significant difference in PFS between cases with and without BFS on T2WI. Multivariable Cox proportional hazards analysis revealed that the absence of BFS on T1WI was a high-risk factor for progression (hazard ratio, 14.9; p < 0.01). Drastic tumor regression was apparent with significantly increased low-signal area in cases with BFS on T1WI. Intra- and interobserver reliabilities of BFS on T1WI were in almost-perfect agreement (κ > 0.8).

conclusionOur retrospective observational data support that presence of BFS in baseline MRI may be a predictor for progression-free survival of DF. BFS on T1WI is easily identifiable and can be utilized clinically in patients with DF. KEY POINTS: • We proposed a new imaging marker for prediction of desmoid fibromatosis progression. • The absence of black fiber sign predicted a high risk of disease progression.

Indexed as

Magnetic Resonance ImagingAdolescentAdultAgedDesmoid TumorsDisease ProgressionFemaleHumansMaleMiddle AgedObserver VariationProgression-Free SurvivalProportional Hazards ModelsRetrospective StudiesRisk FactorsYoung AdultDesmoidMagnetic resonance imagingObservationPrognostic factors

Identifiers

PMID32435931
OpenAlexW3027205680

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.