Evidence map›Paper›PMID 28914416›Full record

ArticleLa Radiologia medica2018

Heterogeneity analysis of diffusion-weighted MRI for prediction and assessment of microstructural changes early after one cycle of induction chemotherapy in nasopharyngeal cancer patients.

Manijeh Beigi, Anahita Fathi Kazerooni, Mojtaba Safari, Marzieh Alamolhoda, Mohsen Shojaee Moghdam, Shiva Moghadam, Hamidreza SalighehRad, Ahmad Ameri

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Article in La Radiologia medica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Prostate Cancer Classification Using Quantum Machine Learning on Multi-parametric MRI.Proceedings of SPIE--the International Society for Optical Engineering · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Manijeh BeigiQuantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Institute for Advanced Medical Imaging, Tehran University of Medical Sciences, Tehran, Iran.
Anahita Fathi KazerooniQuantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Institute for Advanced Medical Imaging, Tehran University of Medical Sciences, Tehran, Iran.
Mojtaba SafariQuantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Institute for Advanced Medical Imaging, Tehran University of Medical Sciences, Tehran, Iran.
Marzieh AlamolhodaDepartment of Biostatistics, Shiraz University of Medical Science, Shiraz, Iran.
Mohsen Shojaee MoghdamPayambaran Imaging Center, Tehran, Iran.
Shiva MoghadamDepartment of Clinical Oncology, ShahidBeheshti University of Medical Science, Tehran, Iran.
Hamidreza SalighehRadDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
Ahmad AmeriDepartment of Clinical Oncology, ShahidBeheshti University of Medical Science, Tehran, Iran. a_ameri@sbmu.ac.ir.
Tehran University of Medical Sciences · IRShahid Beheshti University · IRBasir Eye Health Research Center · IRShiraz University · IR

Funding

Shahid Beheshti University of Medical Sciences 5232
6 · The paper itself

Abstract

purposeTo evaluate whether the pretreatment apparent diffusion coefficient (ADC) heterogeneity parameters and their alterations, after one cycle of induction chemotherapy, can be used as reliable markers of treatment response to induction chemotherapy in patients with nasopharyngeal cancer. MATERIALS AND

methodsTen patients were recruited and received induction chemotherapy (IC). Diffusion-weighted imaging was performed prior to, during, and after IC. The first-order ADC histogram parameters at the intra-treatment time-point were compared to the baseline time-point in the metastatic lymph nodes (LNs). Some ADC pretreatment parameters were combined with each other, employing discriminant analysis to achieve a feasible model to separate the complete response (CR) from the partial response (PR) groups.

resultsFor ten patients, significant rise in Mean and Txt

conclusionsOur results suggest that heterogeneity metrics extracted from ADC-maps in metastatic lymph nodes, before and after IC, can be used as supplementary IC response indicators.

Indexed as

Diffusion Magnetic Resonance ImagingInduction ChemotherapyAdultCarcinomaFemaleHumansLymphatic MetastasisMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsPredictive Value of TestsTreatment OutcomeDiffusion-weighted MRIInduction chemotherapyLymph nodeNasopharyngeal cancer

Identifiers

PMID28914416
OpenAlexW2756268395

What OpenQuestion holds

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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.