Evidence map›Paper›PMID 33854962›Full record

ArticleFrontiers in oncology2021

MRI T1 Contrast-Enhanced Signal Intensity Is a Prognostic Indicator of Imatinib Therapy in Desmoid-Type Fibromatosis.

Hui Ci Zhu, Shi Xing Xu, Xiao Ting Li, Zhen Guan, Shu Li, Ying-Shi Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. 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
0.3field-weighted citation impact, top 41% 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.

  1. Article
  2. Review
  3. Review
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

6 authors at 3 institutions in 1 country.

Hui Ci ZhuDepartment Radiology, Peking University Cancer Hospital, Beijing, China.
Shi Xing XuDepartment Plastic Surgery No.6, Plastic Surgery Hospital, Beijing, China.
Xiao Ting LiDepartment Radiology, Peking University Cancer Hospital, Beijing, China.
Zhen GuanDepartment Radiology, Peking University Cancer Hospital, Beijing, China.
Shu LiDepartment Bone and Soft Tissue Tumors, Peking University Cancer Hospital, Beijing, China.
Ying-Shi SunDepartment Radiology, Peking University Cancer Hospital, Beijing, China.
Peking University Cancer Hospital · CNPeking University · CNPlastic Surgery Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the efficiency of pre-therapy magnetic resonance imaging (MRI) features in predicting the prognosis of desmoid-type fibromatosis patients treated with imatinib. MATERIALS AND

methodsA total of 38 desmoid-type fibromatosis patients treated with imatinib were collected in this retrospective study. The high signal intensity on pre-therapy MRI was evaluated on axial T2 and T1 contrast-enhanced sequences with fat suppression. Cox regression and Kaplan-Meier analyses explored the correlation between clinical or radiographic characteristics and progression-free survival (PFS).

resultsHyperintense T1 contrast enhancement (CE) proportion (≥ 75%) was identified as an independent predictor for PFS. Patients with hyperintense T1 CE proportion <75% demonstrated no progression, while patients with hyperintense T1 CE proportion ≥75% demonstrated a progression rate of 78.4%.

conclusionHyperintense T1 CE proportion in the tumor is a potential predictor of disease progression in patients with desmoid-type fibromatosis treated with imatinib. Hyperintense T1 CE proportion <75% indicates progression-free during treatment.

Indexed as

aggressive fibromatosisimatinibmagnetic resonance imagingresponse evaluation criterion in solid tumors (RECIST)systemic therapy

Identifiers

PMID33854962
PMCPMC8040797
OpenAlexW3138763462

What OpenQuestion holds

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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.