Evidence map›Paper›PMID 31293338›Full record

ReviewWorld journal of gastroenterology2019

Imaging biomarkers for the treatment of esophageal cancer.

Koichi Hayano, Gaku Ohira, Atsushi Hirata, Tomoyoshi Aoyagi, Shunsuke Imanishi, Toru Tochigi, Toshiharu Hanaoka, Kiyohiko Shuto, Hisahiro Matsubara

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Development of imaging biomarker for esophageal cancer using intravoxel incoherent motion MRI.Esophagus : official journal of the Japan Esophageal Society · 2021
    Article
  14. Review
  15. Review
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.

Koichi HayanoDepartment of Frontier Surgery, Chiba University Graduate School of Medicine, Chiba 260-8677, Japan. hayatin1973@yahoo.co.jp.
Gaku OhiraDepartment of Frontier Surgery, Chiba University Graduate School of Medicine, Chiba 260-8677, Japan.
Atsushi HirataDepartment of Frontier Surgery, Chiba University Graduate School of Medicine, Chiba 260-8677, Japan.
Tomoyoshi AoyagiDepartment of Frontier Surgery, Chiba University Graduate School of Medicine, Chiba 260-8677, Japan.
Shunsuke ImanishiDepartment of Frontier Surgery, Chiba University Graduate School of Medicine, Chiba 260-8677, Japan.
Toru TochigiDepartment of Frontier Surgery, Chiba University Graduate School of Medicine, Chiba 260-8677, Japan.
Toshiharu HanaokaDepartment of Frontier Surgery, Chiba University Graduate School of Medicine, Chiba 260-8677, Japan.
Kiyohiko ShutoDepartment of Surgery, Teikyo University Medical Center, Chiba 299-0111, Japan.
Hisahiro MatsubaraDepartment of Frontier Surgery, Chiba University Graduate School of Medicine, Chiba 260-8677, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer is known as one of the malignant cancers with poor prognosis. To improve the outcome, combined multimodality treatment is attempted. On the other hand, advances in genomics and other "omic" technologies are paving way to the patient-oriented treatment called "personalized" or "precision" medicine. Recent advancements of imaging techniques such as functional imaging make it possible to use imaging features as biomarker for diagnosis, treatment response, and prognosis in cancer treatment. In this review, we will discuss how we can use imaging derived tumor features as biomarker for the treatment of esophageal cancer.

Indexed as

Chemoradiotherapy, AdjuvantEsophagectomyDiffusion Magnetic Resonance ImagingEsophageal NeoplasmsEsophagusHumansPerfusion ImagingPositron-Emission TomographyPrecision MedicinePrognosisTomography, X-Ray ComputedTreatment OutcomeComputed tomography perfusionDiffusion-weighted imagingDynamic-contrast-enhanced magnetic resonance imagingEsophageal cancerPositron emission tomographyTexture analysis

Identifiers

PMID31293338
PMCPMC6603816

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.