Evidence map›Paper›PMID 36899281›Full record

ReviewAbdominal radiology (New York)2023

The optimized rectal cancer MRI protocol: choosing the right sequences, sequence parameters, and preparatory strategies.

Tyler J Fraum, Jingfei Ma, Kartik Jhaveri, Pankaj Nepal, Chandana Lall, James Costello, Mukesh Harisinghani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. MRI for Rectal Cancer: Updates and Controversies-AJR. American journal of roentgenology · 2025
    Review
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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

7 authors at 6 institutions in 2 countries.

Tyler J FraumDepartment of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, Campus, Box 8131, St. Louis, MO, 63110, USA. fraumt@wustl.edu.ORCID 0000-0001-6573-5081
Jingfei MaDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kartik JhaveriDepartment of Medical Imaging, University of Toronto, Toronto, Canada.
Pankaj NepalDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Chandana LallDepartment of Radiology, College of Medicine, University of Florida, Jacksonville, FL, USA.
James CostelloDepartment of Radiology, Moffitt Cancer Center, Tampa, FL, USA.
Mukesh HarisinghaniDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Harvard University · USMoffitt Cancer Center · USThe University of Texas MD Anderson Cancer Center · USUniversity of Florida · USUniversity of Toronto · CAWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pelvic MRI plays a critical role in rectal cancer staging and treatment response assessment. Despite a consensus regarding the essential protocol components of a rectal cancer MRI, substantial differences in image quality persist across institutions and vendor software/hardware platforms. In this review, we present image optimization strategies for rectal cancer MRI examinations, including but not limited to preparation strategies, high-resolution T2-weighted imaging, and diffusion-weighted imaging. Our specific recommendations are supported by case studies from multiple institutions. Finally, we describe an ongoing initiative by the Society of Abdominal Radiology's Disease-Focused Panel (DFP) on Rectal and Anal Cancer to create standardized rectal cancer MRI protocols across scanner platforms.

Indexed as

Magnetic Resonance ImagingRectal NeoplasmsDiffusion Magnetic Resonance ImagingHumansNeoplasm StagingRectumDiffusion-weighted imagingHigh-resolution T2-weighted imagingMagnetic resonance imagingProtocol optimizationRectal cancer

Identifiers

PMID36899281
OpenAlexW4323832225

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.