Evidence map›Paper›PMID 34826772›Full record

ReviewClinical imaging2022

Rectal MRI radiomics for predicting pathological complete response: Where we are.

Joao Miranda, Gary Xia Vern Tan, Maria Clara Fernandes, Onur Yildirim, John A Sims, Jose de Arimateia Batista Araujo-Filho, Felipe Augusto de M Machado, Antonildes N Assuncao-Jr, Cesar Higa Nomura, Natally Horvat

Abstract readReview
In one paragraph

Review in Clinical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Nonoperative management of rectal cancer.Frontiers in oncology · 2024
    Review
  14. Review
  15. Review
  16. The Role of Radiomics in Rectal Cancer.Journal of gastrointestinal cancer · 2023
    Review
  17. Article
  18. Review
  19. New Frontiers in Oncological Imaging.Tomography (Ann Arbor, Mich.) · 2023
    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

10 authors.

Joao MirandaDepartment of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil; Department of Radiology, Diagnosticos da America SA (DASA), Sao Paulo, SP, Brazil.
Gary Xia Vern TanDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Maria Clara FernandesDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: fernanm3@mskcc.org.
Onur YildirimDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: yildirio@mskcc.org.
John A SimsDepartment of Biomedical Engineering, Universidade Federal do ABC, Santo Andre, SP, Brazil.
Jose de Arimateia Batista Araujo-FilhoDepartment of Radiology, Hospital Sirio-Libanes, Sao Paulo, Brazil.
Felipe Augusto de M MachadoPolytechnic School, University of São Paulo, São Paulo, Brazil. Electronic address: felipe.augusto.machado@usp.br.
Antonildes N Assuncao-JrResearch and Education Institute, Hospital Sirio-Libanes, Sao Paulo, Brazil.
Cesar Higa NomuraDepartment of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil; Department of Radiology, Hospital Sirio-Libanes, Sao Paulo, Brazil.
Natally HorvatDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: horvatn@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Radiomics using rectal MRI radiomics has emerged as a promising approach in predicting pathological complete response. In this study, we present a typical pipeline of a radiomics analysis and review recent studies, exploring applications, development of radiomics methodologies and model construction in pCR prediction. Finally, we will offer our opinion about the future and discuss the next steps of rectal MRI radiomics for predicting pCR.

Indexed as

Rectal NeoplasmsChemoradiotherapyHumansMagnetic Resonance ImagingNeoadjuvant TherapyRetrospective StudiesMachine learningMagnetic resonance imagingNeoadjuvant therapyRadiomicsRectal neoplasms

Identifiers

PMID34826772
PMCPMC9119743

What OpenQuestion holds

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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.