Evidence map›Paper›PMID 34797688›Full record

ReviewThe British journal of radiology2022

Overview of radiomics in prostate imaging and future directions.

Hwan-Ho Cho, Chan Kyo Kim, Hyunjin Park

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Imaging in translational cancer research.Cancer biology & medicine · 2022
    Review
  11. Innovations in prostate cancer: introductory editorial.The British journal of radiology · 2022
    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

3 authors.

Hwan-Ho ChoDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea.
Chan Kyo KimDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hyunjin ParkCenter for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea.ORCID 0000-0001-5681-8918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in imaging technology and analysis methods have led to an analytic framework known as radiomics. This framework extracts comprehensive high-dimensional features from imaging data and performs data mining to build analytical models for improved decision-support. Its features include many categories spanning texture and shape; thus, it can provide abundant information for precision medicine. Many studies of prostate radiomics have shown promising results in the assessment of pathological features, prediction of treatment response, and stratification of risk groups. Herein, we aimed to provide a general overview of radiomics procedures, discuss technical issues, explain various clinical applications, and suggest future research directions, especially for prostate imaging.

Indexed as

Diagnostic ImagingForecastingHumansImage Interpretation, Computer-AssistedMalePatient SelectionPrecision MedicineProstatic NeoplasmsQuality ImprovementRisk Assessment

Identifiers

PMID34797688
PMCPMC8978251

What OpenQuestion holds

Textmetadata
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.