Evidence map›Paper›PMID 29475772›Full record

ArticlePhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)2018

Investigating multi-radiomic models for enhancing prediction power of cervical cancer treatment outcomes.

Baderaldeen A Altazi, Daniel C Fernandez, Geoffrey G Zhang, Samuel Hawkins, Syeda M Naqvi, Youngchul Kim, Dylan Hunt, Kujtim Latifi, Matthew Biagioli, Puja Venkat and 1 more

Abstract read
In one paragraph

Article in Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. [Diagnostics (Basel, Switzerland) · 2024
    Review
  6. Article
  7. Article
  8. A common [18F]-FDG PET radiomic signature to predict survival in patients with HPV-induced cancers.European journal of nuclear medicine and molecular imaging · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. [European journal of nuclear medicine and molecular imaging · 2021
    Article
  17. Article
  18. Article
  19. A deep survival interpretable radiomics model of hepatocellular carcinoma patients.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2021
    Article
  20. 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

11 authors.

Baderaldeen A AltaziH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA; King Fahad Specialist Hospital at Dammam, Saudi Arabia. Electronic address: Deen.Altazi@moffitt.org.
Daniel C FernandezH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA. Electronic address: Daniel.Fernandez@moffitt.org.
Geoffrey G ZhangH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA. Electronic address: Geoffrey.Zhang@moffitt.org.
Samuel HawkinsH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA. Electronic address: Samuel.Hawkins@moffitt.org.
Syeda M NaqviH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA. Electronic address: Syedamahrukh@health.usf.edu.
Youngchul KimH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA. Electronic address: Youngchul.Kim@moffitt.org.
Dylan HuntH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA. Electronic address: Dylan.Hunt@moffitt.org.
Kujtim LatifiH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA. Electronic address: Kujtim.Latifi@moffitt.org.
Matthew BiagioliFlorida Hospital, 2501 N Orange Avenue, Orlando, FL 32804, USA. Electronic address: Matthew.Biagioli@flhosp.org.
Puja VenkatH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA. Electronic address: Puja.Venkat@moffitt.org.
Eduardo G MorosH. L. Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA. Electronic address: Eduardo.Moros@moffitt.org.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI John L. Cleveland · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

Quantitative image features, also known as radiomic features, have shown potential for predicting treatment outcomes in several body sites. We quantitatively analyzed

Indexed as

Models, StatisticalAdultAgedAged, 80 and overFemaleHumansLogistic ModelsMiddle AgedPositron Emission Tomography Computed TomographyTreatment OutcomeTumor BurdenUterine Cervical NeoplasmsCervical cancerPositron emission tomographyRadiomicsTumor uptake

Identifiers

PMID29475772
PMCPMC7771366

What OpenQuestion holds

Textmetadata
LicenceTDM
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.