Evidence map›Paper›PMID 37645931›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment.

Dina M El-Habashy, Kareem A Wahid, He Renjie, Brigid McDonald, Samuel J Mulder, Yao Ding, Travis Salzillo, Lai Stephen, John Christodouleas, Alex Dresner and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 3 countries.

Dina M El-HabashyDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kareem A WahidDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
He RenjieDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Brigid McDonaldDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Samuel J MulderDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yao DingDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Travis SalzilloDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Lai StephenDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
John ChristodouleasElekta AB, Stockholm, Sweden.
Alex DresnerPhilips Healthcare MR Oncology, Cleveland, Ohio, USA.
Jihong WangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mohamed A NaserDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Clifton D FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Abdallah Sherif Radwan MohamedDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · USElekta (Sweden) · SEPhilips (United States) · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Development of functional magnetic resonance imaging-guided adaptive radiotherapy for head and neck cancer patients using novel MR-Linac deviceR01DE028290 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHRISTODOULEAS, JOHN PAUL, FULLER, CLIFTON DAVID · 2019 to 2023
$4.3M
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular OsteoradionecrosisR01DE025248 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LAI, STEPHEN Y · 2016 to 2020
$2.9M
SCH: Personalized Rescheduling of Adaptive Radiation Therapy for Head & Neck CancerR01CA257814 · NCI · RICE UNIVERSITY · PI FULLER, CLIFTON DAVID, SCHAEFER, ANDREW J · 2021 to 2024
$1.8M
Image Guided Cancer Therapy Training ProgramT32CA261856 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kristy Brock, Clifton David Fuller · 2022 to 2026
$1.2M
Fellow and Resident Radiation Oncology iNtensive Training in Imaging and Informatics to Empower Research Careers (FRONTI2ER)R25EB025787 · NIBIB · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DAS, PRAJNAN, FULLER, CLIFTON DAVID · 2018 to 2022
$535k
Radiation-specific Automated Dental Dose Distributions via Machine-learning based Mapping for Accurate Predictions of (Peri)odontal Problems (RADMAP)R21DE031082 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORENO, AMY CATHERINE · 2021 to 2022
$452k
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA257814NCI NIH HHS T32 CA261856NIBIB NIH HHS R25 EB025787NIDCR NIH HHS R01 DE025248NIDCR NIH HHS R01 DE028290NIDCR NIH HHS R21 DE031082
6 · The paper itself

Abstract

Radiation therapy (RT) is a crucial treatment for head and neck squamous cell carcinoma (HNSCC), however it can have adverse effects on patients' long-term function and quality of life. Biomarkers that can predict tumor response to RT are being explored to personalize treatment and improve outcomes. While tissue and blood biomarkers have limitations, imaging biomarkers derived from magnetic resonance imaging (MRI) offer detailed information. The integration of MRI and a linear accelerator in the MR-Linac system allows for MR-guided radiation therapy (MRgRT), offering precise visualization and treatment delivery. This data descriptor offers a valuable repository for weekly intra-treatment diffusion-weighted imaging (DWI) data obtained from head and neck cancer patients. By analyzing the sequential DWI changes and their correlation with treatment response, as well as oncological and survival outcomes, the study provides valuable insights into the clinical implications of DWI in HNSCC. [Table: see text].

Identifiers

PMID37645931
PMCPMC10462225
OpenAlexW4386030366

What OpenQuestion holds

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LicenceCC BY
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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.