Evidence map›Paper›PMID 39399877›Full record

ArticlePhysics and imaging in radiation oncology2024

Reduced-distortion diffusion weighted imaging for head and neck radiotherapy.

Eric Aliotta, Ramesh Paudyal, Alex Dresner, Amita Shukla-Dave, Nancy Lee, Laura Cerviño, Ricardo Otazo, Victoria Y Yu

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Development of a Dedicated Prostate Phantom for Technical Evaluation of Diffusion-weighted MR Imaging Sequences.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
  2. Article
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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

8 authors.

Eric AliottaDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Ramesh PaudyalDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Alex DresnerPhilips Healthcare, the Netherlands.
Amita Shukla-DaveDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Nancy LeeDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Laura CerviñoDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Ricardo OtazoDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Victoria Y YuDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.

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

Background and purpose: Quantitative Diffusion Weighted Imaging (DWI) has potential value in guiding head and neck (HN) cancer radiotherapy. However, clinical translation has been hindered by severe distortions in standard single-shot Echo-Planar-Imaging (ssEPI) and prolonged scan time and low SNR in Turbo-Spin-Echo (ssTSE) sequences. In this study, we evaluate "multi-shot" (ms) msEPI and msTSE acquisitions in the context of HN radiotherapy. Materials and methods: ssEPI, ssTSE, msEPI with 2 and 3 shots (2sEPI, 3sEPI), and msTSE DWI were acquired in a phantom, healthy volunteers (N=10), and patients with HN cancer (N=5) on a 3-Tesla wide-bore MRI in radiotherapy simulation RF coil setup, with matched spatial resolution (2x2x5mm) and b = 0, 200, 800 s/mm Results: All techniques significantly (P<1x10 Conclusions: msEPI and TSE acquisitions exhibited improved geometric distortion at the cost of SNR

Identifiers

PMID39399877
PMCPMC11466654

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Registered trials

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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.