Evidence map›Paper›PMID 35198451›Full record

ArticleFrontiers in oncology2022

Prognostic Value of Radiomic Features of

Yeye Zhou, Jihui Li, Xiaoyi Zhang, Tongtong Jia, Bin Zhang, Na Dai, Shibiao Sang, Shengming Deng

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The prognostic utility ofFrontiers in immunology · 2024
    Pooled it
  2. Pooled it
  3. Trial
  4. European journal of nuclear medicine and molecular imaging · 2025
    Article
  5. Predictive Power of Baseline [Diagnostics (Basel, Switzerland) · 2025
    Article
  6. Review
  7. Association of [Diagnostics (Basel, Switzerland) · 2025
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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

8 authors.

Yeye ZhouDepartment of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China.
Jihui LiDepartment of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China.
Xiaoyi ZhangDepartment of Nuclear Medicine, Changshu No. 2 People's Hospital, Changshu, China.
Tongtong JiaDepartment of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China.
Bin ZhangDepartment of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China.
Na DaiDepartment of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China.
Shibiao SangDepartment of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China.
Shengming DengDepartment of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn the present study, we aimed to evaluate the prognostic value of PET/CT-derived radiomic features for patients with B-cell lymphoma (BCL), who were treated with CD19/CD22 dual-targeted chimeric antigen receptor (CAR) T cells. Moreover, we explored the relationship between baseline radiomic features and the occurrence probability of cytokine release syndrome (CRS).

methodsA total of 24 BCL patients who received

resultsContrast extracted from neighbourhood grey-level different matrix (NGLDM) was an independent predictor of PFS (HR = 15.16, p = 0.023). MYC and BCL2 double-expressor (DE) was of prognostic significance for PFS (HR = 7.02, p = 0.047) and OS (HR = 10.37, p = 0.041). The combination of NGLDM_Contrast

conclusionsIn conclusion, radiomic features extracted from baseline

Indexed as

B-cell lymphomaCAR-TPET/CTprognosisradiomics

Identifiers

PMID35198451
PMCPMC8858981

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.