Evidence map›Paper›PMID 29633024›Full record

ArticleMedical oncology (Northwood, London, England)2018

FDG-PET/CT and diffusion-weighted imaging for resected lung cancer: correlation of maximum standardized uptake value and apparent diffusion coefficient value with prognostic factors.

Katsuo Usuda, Aika Funasaki, Atsushi Sekimura, Nozomu Motono, Munetaka Matoba, Mariko Doai, Sohsuke Yamada, Yoshimichi Ueda, Hidetaka Uramoto

Open access · hybridAbstract read
In one paragraph

Article in Medical oncology (Northwood, London, England), 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
1.1field-weighted citation impact, top 22% 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. MRI for Lung Cancer Management: Any Closer to Clinical Application?Journal of magnetic resonance imaging : JMRI · 2026
    Review
  2. Correlation of 3T Diffusion-weighted MRI andMolecular imaging and radionuclide therapy · 2025
    Article
  3. Article
  4. Article
  5. The role ofThe British journal of radiology · 2022
    Article
  6. Clinical and translational radiation oncology · 2021
    Article
  7. Magnetic particle targeting for diagnosis and therapy of lung cancers.Journal of controlled release : official journal of the Controlled Release Society · 2020
    Review
  8. European journal of hybrid imaging · 2020
    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

9 authors at 1 institution in 1 country.

Katsuo UsudaDepartment of Thoracic Surgery, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Ishikawa, 920-0293, Japan. usuda@kanazawa-med.ac.jp.ORCID http://orcid.org/0000-0001-6803-9356
Aika FunasakiDepartment of Thoracic Surgery, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Ishikawa, 920-0293, Japan.
Atsushi SekimuraDepartment of Thoracic Surgery, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Ishikawa, 920-0293, Japan.
Nozomu MotonoDepartment of Thoracic Surgery, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Ishikawa, 920-0293, Japan.
Munetaka MatobaDepartment of Radiology, Kanazawa Medical University, Uchinada, Japan.
Mariko DoaiDepartment of Radiology, Kanazawa Medical University, Uchinada, Japan.
Sohsuke YamadaDepartment of Pathology and Laboratory Medicine, Kanazawa Medical University, Uchinada, Japan.
Yoshimichi UedaDepartment of Pathophysiological and Experimental Pathology, Kanazawa Medical University, Uchinada, Japan.
Hidetaka UramotoDepartment of Thoracic Surgery, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Ishikawa, 920-0293, Japan.
Kanazawa Medical University · JP

Funding

a Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology, Japan 16K10694the Magnetic Health Science Foundation, Japan 2017 Grant-in-Aid
6 · The paper itself

Abstract

Diffusion-weighted magnetic resonance imaging (DWI) is useful for detecting malignant tumors and the assessment of lymph nodes, as FDG-PET/CT is. But it is not clear how DWI influences the prognosis of lung cancer patients. The focus of this study is to evaluate the correlations between maximum standardized uptake value (SUVmax) of FDG-PET/CT and apparent diffusion coefficient (ADC) value of DWI with known prognostic factors in resected lung cancer. A total of 227 patients with resected lung cancers were enrolled in this study. FEG-PET/CT and DWI were performed in each patient before surgery. There were 168 patients with adenocarcinoma, 44 patients with squamous cell carcinoma, and 15 patients with other cell types. SUVmax was a factor that was correlated to T factor, N factor, or cell differentiation. ADC of lung cancer was a factor that was not correlated to T factor, or N factor. There was a significantly weak inverse relationship between SUVmax and ADC (Correlation coefficient r = - 0.227). In analysis of survival, there were significant differences between the categories of sex, age, pT factor, pN factor, cell differentiation, cell type, and SUVmax. Univariate analysis revealed that SUVmax, pN factor, age, cell differentiation, cell type, sex, and pT factor were significant factors. Multivariate analysis revealed that SUVmax and pN factor were independent significant prognostic factors. SUVmax was a significant prognostic factor that is correlated to T factor, N factor, or cell differentiation, but ADC was not. SUVmax may be more useful for predicting the prognosis of lung cancer than ADC values.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAdultAgedAged, 80 and overDiffusion Magnetic Resonance ImagingFemaleFluorodeoxyglucose F18HumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPositron Emission Tomography Computed TomographyPrognosisRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsDiagnosisDiffusion-weighted magnetic resonance imaging (DWI)Lung cancerMagnetic resonance imaging (MRI)Positron emission tomography (PET)Prognostic factor

Identifiers

PMID29633024
PMCPMC5891543
OpenAlexW2796508126

What OpenQuestion holds

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LicenceCC BY
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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.