Evidence map›Paper›PMID 34315971›Full record

ArticleScientific reports2021

Radiomics of diffusion-weighted MRI compared to conventional measurement of apparent diffusion-coefficient for differentiation between benign and malignant soft tissue tumors.

Seung Eun Lee, Joon-Yong Jung, Yoonho Nam, So-Yeon Lee, Hyerim Park, Seung-Han Shin, Yang-Guk Chung, Chan-Kwon Jung

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Immune checkpoint inhibition: a future guided by radiology.The British journal of radiology · 2023
    Review
  5. Article
  6. Article
  7. Review
  8. [Preoperative diagnostics and typing of abdominal soft tissue sarcomas].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2022
    Review
  9. 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

8 authors.

Seung Eun LeeDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
Joon-Yong JungDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea. jjdragon112@gmail.com.
Yoonho NamDivision of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do, Republic of Korea.
So-Yeon LeeDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
Hyerim ParkDepartment of Radiology, Soonchunhyang University Cheonan Hospital, Dongnam-gu, Cheonan, Chungcheongnam-do, Republic of Korea.
Seung-Han ShinDepartment of Orthopedic Surgery, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Yang-Guk ChungDepartment of Orthopedic Surgery, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Chan-Kwon JungDepartment of Pathology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion-weighted imaging (DWI) is proven useful to differentiate benign and malignant soft tissue tumors (STTs). Radiomics utilizing a vast array of extracted imaging features has a potential to uncover disease characteristics. We aim to assess radiomics using DWI can outperform the conventional DWI for STT differentiation. In 151 patients with 80 benign and 71 malignant tumors, ADC

Indexed as

AdultAgedDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedRetrospective StudiesSoft Tissue Neoplasms

Identifiers

PMID34315971
PMCPMC8316538

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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.