Evidence map›Paper›PMID 27255401›Full record

ArticleEuropean radiology2017

Prediction of the treatment outcome using intravoxel incoherent motion and diffusional kurtosis imaging in nasal or sinonasal squamous cell carcinoma patients.

Noriyuki Fujima, Daisuke Yoshida, Tomohiro Sakashita, Akihiro Homma, Akiko Tsukahara, Yukie Shimizu, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato

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In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Predicting Early Response to Chemoradiotherapy for Uterine Cervical Cancer Using Intravoxel Incoherent Motion MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2019
    Article
  13. AJNR. American journal of neuroradiology · 2019
    Article
  14. Non-mono-exponential diffusion models for assessing early response of liver metastases to chemotherapy in colorectal Cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2019
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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

9 authors.

Noriyuki FujimaDepartment of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N15, W7, Kita-Ku, Sapporo, 060-8638, Hokkaido, Japan. Noriyuki.Fujima@mb9.seikyou.ne.jp.
Daisuke YoshidaDepartment of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N15, W7, Kita-Ku, Sapporo, 060-8638, Hokkaido, Japan.
Tomohiro SakashitaDepartment of Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Akihiro HommaDepartment of Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Akiko TsukaharaDepartment of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N15, W7, Kita-Ku, Sapporo, 060-8638, Hokkaido, Japan.
Yukie ShimizuDepartment of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N15, W7, Kita-Ku, Sapporo, 060-8638, Hokkaido, Japan.
Khin Khin ThaDepartment of Radiation Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Kohsuke KudoDepartment of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N15, W7, Kita-Ku, Sapporo, 060-8638, Hokkaido, Japan.
Hiroki ShiratoDepartment of Radiation Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic value of intravoxel incoherent motion (IVIM) and diffusional kurtosis imaging (DKI) parameters in nasal or sinonasal squamous cell carcinoma (SCC) patients to determine local control/failure.

methodsTwenty-eight patients were evaluated. MR acquisition used single-shot spin-echo EPI with 12 b-values. Quantitative parameters (mean value, 25th, 50th and 75th percentiles) of IVIM (perfusion fraction f, pseudo-diffusion coefficient D*, and true-diffusion coefficient D), DKI (kurtosis value K, kurtosis corrected diffusion coefficient D

resultsMultivariate logistic regression analysis: the percentage changes of D (mean, 25th, 50th, 75th), K (mean, 50th, 75th), Dk (mean, 25th, 50th), and ADC (mean, 25th, 50th) were predictors of local control. ROC curve analysis: the parameter with the highest accuracy = the percentage change of D value with the histogram 25th percentile (0.93 diagnostic accuracy). Multivariate Cox regression analyses: the percentage changes of D (mean, 25th, 50th), K (mean, 50th, 75th), Dk (mean, 25th, 50th) and ADC (mean, 25th, 50th) are predictors.

conclusionsIVIM and DKI parameters, especially the D-value's histogram 25th percentile, are useful for predicting local control. KEY POINTS: • Noninvasive assessment of treatment outcome in SCC patients was achieved using IVIM/DKI. • Several IVIM and DKI parameters can predict the local control. • Especially, the D-value's histogram 25th percentile has high diagnostic accuracy.

Indexed as

AdultAgedCarcinoma, Squamous CellDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedMotionNasal CavityNose NeoplasmsReproducibility of ResultsROC CurveTreatment OutcomeDiffusion magnetic resonance imagingMagnetic resonance imagingPrognosisSquamous cell carcinoma of the head and neckTreatment outcome

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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.