Evidence map›Paper›PMID 32905456›Full record

ReviewAmerican journal of cancer research2020

Applications of radiomics in genitourinary tumors.

Longfei Liu, Xiaoping Yi, Can Lu, Lin Qi, Youming Zhang, Minghao Li, Qiao Xiao, Cikui Wang, Liang Zhang, Yingxian Pang and 2 more

Open access · greenAbstract readReview
In one paragraph

Review in American journal of cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. 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

12 authors at 1 institution in 2 countries.

Longfei LiuDepartment of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Xiaoping YiNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Can LuDepartment of Nephrology, The Second Xiangya Hospital of Central South University Changsha 410000, Hunan, P. R. China.
Lin QiDepartment of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Youming ZhangDepartment of Radiology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Minghao LiDepartment of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Qiao XiaoDepartment of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Cikui WangDepartment of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Liang ZhangDepartment of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Yingxian PangDepartment of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Yong WangDepartment of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Xiao GuanDepartment of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genitourinary tumors are heterogeneous groups of tumors with high morbidity and mortality rates. Confronted with existing problems in the management of genitourinary tumors, a personalized imaging method called radiomics shows great potential in areas including detection, grading, and treatment response assessment. Radiomics is characterized by extraction of quantitative imaging features which are not visible to the naked eye from conventional imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography-computed tomography (PET-CT), followed by data analysis and model building. It outperforms other invasive methods in terms of non-invasiveness, low cost and high efficiency. Recently, a number of studies have evaluated the application of radiomics in patients with genitourinary tumors with promising data. The combination of radiomics and clinical/laboratory factors provides added value in many studies. Despite this, there are limitations and challenges to be overcome before a more extensive clinical application in the future. In this article, we will introduce the concept, significance and workflow of radiomics, review their current applications in patients with genitourinary tumors and discuss limitations and future directions of radiomics. It would help multidisciplinary team involved in the treatment of patients with genitourinary tumors to achieve a better understanding of the results of radiomics study toward a personalized medicine.

Indexed as

genitourinary tumorsradiogenomicsRadiomicstreatment responsetumor differentiationtumor grading

Identifiers

PMID32905456
PMCPMC7471369
OpenAlexW3085357535

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.