Evidence map›Paper›PMID 33426314›Full record

ArticleClinical and translational radiation oncology2020

Magnetic resonance imaging-derived radiomic signature predicts locoregional failure after organ preservation therapy in patients with hypopharyngeal squamous cell carcinoma.

Che-Yu Hsu, Shih-Min Lin, Ngan Ming Tsang, Yu-Hsiang Juan, Chun-Wei Wang, Wei-Chung Wang, Sung-Hsin Kuo

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  3. Review
  4. Article
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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 3 institutions in 1 country.

Che-Yu HsuDivision of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Shih-Min LinDepartment of Radiation Oncology, Chang Gung Memorial Hospital at LinKou, Taiwan.
Ngan Ming TsangDepartment of Radiation Oncology, Chang Gung Memorial Hospital at LinKou, Taiwan.
Yu-Hsiang JuanDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Taoyuan, Taiwan.
Chun-Wei WangDivision of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Wei-Chung WangDepartment of Mathematics, National Taiwan University, Taipei, Taiwan.
Sung-Hsin KuoDivision of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Chang Gung Memorial Hospital · TWNational Taiwan University · TWNational Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeTo develop and validate a magnetic resonance imaging (MRI)-derived radiomic signature (RS) for the prediction of 1-year locoregional failure (LRF) in patients with hypopharyngeal squamous cell carcinoma (HPSCC) who received organ preservation therapy (OPT). MATERIAL AND

methodsA total of 800 MRI-based features of pretreatment tumors were obtained from 116 patients with HPSCC who received OPT from two independent cohorts. The least absolute shrinkage and selection operator regression model were used to select the features used to develop the RS. Harrell's C-index and corrected C-index were used to evaluate the discriminative ability of RS. The Youden index was used to select the optimal cut-point for risk category.

resultsThe RS yielded 1000 times bootstrapping corrected C-index of 0.8036 and 0.78235 in the experimental (n = 82) and validation cohorts (n = 34), respectively. With respect to the subgroup of patients with stage III/IV and cT4 disease, the RS also showed good predictive performance with corrected C-indices of 0.760 and 0.754, respectively. The dichotomized risk category using an RS of 0.0326 as the cut-off value yielded a 1-year LRF predictive accuracy of 79.27%, 79.41%, 76.74%, and 71.15% in the experimental, validation, stage III/IV, and cT4a cohorts, respectively. The low-risk group was associated with a significantly better progression-free laryngectomy-free and overall survival outcome in two independent institutions, stage III/IV, and cT4a cohorts.

conclusionThe RS-based model provides a novel and convenient approach for the prediction of the 1-year LRF and survival outcome in patients with HPSCC who received OPT.

Indexed as

Hypopharyngeal squamous cell carcinomaLoco-regional failureOrgan preservation treatmentRadiomicsSurvival

Identifiers

PMID33426314
PMCPMC7780126
OpenAlexW3082427997

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LicenceCC BY-NC-ND
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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.