Evidence map›Paper›PMID 28194701›Full record

ArticleAnnals of nuclear medicine2017

An automated voxel-based method for calculating the reference value for a brain tumour metabolic index using

Miwako Takahashi, Tsutomu Soma, Akitake Mukasa, Keitaro Koyama, Takuya Arai, Toshimitsu Momose

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of nuclear medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Highlights from 2017: impactful topics published in the Annals of Nuclear Medicine.European journal of nuclear medicine and molecular imaging · 2019
    Review
  2. A Non-invasive Radiomic Method UsingFrontiers in oncology · 2019
    Article
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.

Miwako TakahashiDivision of Nuclear medicine, Department of Radiology, Graduate School of Medicine, The University of Tokyo, 3-1 Hongo 7-Chome, Bunkyo-ku, Tokyo, 113-8655, Japan. tmiwako-tky@umin.ac.jp.
Tsutomu SomaDivision of Nuclear medicine, Department of Radiology, Graduate School of Medicine, The University of Tokyo, 3-1 Hongo 7-Chome, Bunkyo-ku, Tokyo, 113-8655, Japan.
Akitake MukasaDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, 3-1 Hongo 7-Chome, Bunkyo-ku, Tokyo, 113-8655, Japan.
Keitaro KoyamaDivision of Nuclear medicine, Department of Radiology, Graduate School of Medicine, The University of Tokyo, 3-1 Hongo 7-Chome, Bunkyo-ku, Tokyo, 113-8655, Japan.
Takuya AraiDivision of Nuclear medicine, Department of Radiology, Graduate School of Medicine, The University of Tokyo, 3-1 Hongo 7-Chome, Bunkyo-ku, Tokyo, 113-8655, Japan.
Toshimitsu MomoseDivision of Nuclear medicine, Department of Radiology, Graduate School of Medicine, The University of Tokyo, 3-1 Hongo 7-Chome, Bunkyo-ku, Tokyo, 113-8655, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe tumour-to-normal ratio (T/N) is a representative index reflecting brain tumour activity by

methodsData sets were obtained from 32 patients with newly diagnosed glioma and 13 patients with recurrent brain tumour. Our methods were as follows: (1) FDG-PET and MET-PET images were co-registered. (2) The areas where the FDG uptake was higher than a set threshold were selected. (3) For the corresponding areas of MET-PET images, mode and mean voxel values were calculated as tentative MET N-values. (4) Applying the same coordinates to FDG-PET, the voxel values were averaged and used as tentative FDG N-values. (5) The threshold of FDG-PET and whether to use the mode or the mean voxel values were computationally optimized using learning data sets. (6) Applying the optimal threshold and either the mode or mean, N-values of FDG and MET were finally determined.

resultsN-values determined by our automated method showed excellent agreement with those determined by a manual ROI method (ICC(2,1) > 0.78). These values were significantly correlated with mean manual N-values (p < 0.001).

conclusionsOur new method shows sufficiently good agreement with the standard method and can provide a more objective metabolic index.

Indexed as

Positron-Emission TomographyAdultAlgorithmsBrain NeoplasmsCarbon RadioisotopesFemaleFluorodeoxyglucose F18GliomaHumansImage Processing, Computer-AssistedMaleMethionineMiddle AgedPattern Recognition, AutomatedRadiopharmaceuticalsReference Valuescarbon-11 methionineCarbon RadioisotopesFluorodeoxyglucose F18MethionineRadiopharmaceuticalsBrain tumourFDG-PETMET-PETTumour-to-normal ratioVoxel-based analysis

Identifiers

PMID28194701
PMCPMC5352759

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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.