Evidence map›Paper›PMID 37205359›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5T MR-Linear accelerator hybrid system: A prospective R-IDEAL Stage 2a imaging biomarker characterization/ pre-qualification study.

Dina M El-Habashy, Kareem A Wahid, Renjie He, Brigid McDonald, Jillian Rigert, Samuel J Mulder, Tze Yee Lim, Xin Wang, Jinzhong Yang, Yao Ding and 20 more

Abstract readPreprint
PubMed Full text at PMC Publisher
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Dina M El-HabashyDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Kareem A WahidDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Renjie HeDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Brigid McDonaldDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jillian RigertDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Samuel J MulderDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Tze Yee LimDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Xin WangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jinzhong YangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Yao DingDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Mohamed A NaserDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Sweet Ping NgDepartment of Radiation Oncology, Austin Health Melbourne, Australia.
Houda BahigDepartment of radiology, radiation oncology and nuclear medicine, Université de Montréal, Canada.
Travis C SalzilloDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Kathryn E PrestonDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Moamen AbobakrDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Mohamed A ShehataDepartment of Clinical Oncology and Nuclear Medicine, Menoufia University, Shebin Elkom, Egypt.
Enas A ElkhoulyDepartment of Clinical Oncology and Nuclear Medicine, Menoufia University, Shebin Elkom, Egypt.
Hagar A AlagizyDepartment of Clinical Oncology and Nuclear Medicine, Menoufia University, Shebin Elkom, Egypt.
Amira H HegazyDepartment of Clinical Oncology and Nuclear Medicine, Menoufia University, Shebin Elkom, Egypt.
Mustefa MohammadseidDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Chris TerhaardDepartment of Radiation Therapy, University Medical Center Utrecht, Utrecht, The Netherlands.
Marielle PhilippensDepartment of Radiation Therapy, University Medical Center Utrecht, Utrecht, The Netherlands.
David I RosenthalDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jihong WangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Stephen Y LaiDepartment of Head and Neck Surgery, Division of Surgery,The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Alex DresnerPhilips Healthcare MR Oncology, Cleveland, Ohio, USA.
John C ChristodouleasElekta AB, Stockholm, Sweden.
Abdallah Sherif Radwan MohamedDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Clifton D FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

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
Diffusion-Weighted Imaging-Based Adaptive Replanning for the MR-LinacF31DE029093 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MCDONALD, BRIGID ANNE · 2019 to 2021
$91k
Multiparametric Magnetic Resonance Imaging Artificial Intelligence Pipeline for Oropharyngeal Cancer Radiotherapy Treatment GuidanceF31DE031502 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WAHID, KAREEM · 2021 to 2023
$68k
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA257814NCI NIH HHS T32 CA261856NIBIB NIH HHS R25 EB025787NIDCR NIH HHS F31 DE029093NIDCR NIH HHS F31 DE031502NIDCR NIH HHS R01 DE025248NIDCR NIH HHS R01 DE028290NIDCR NIH HHS R21 DE031082
6 · The paper itself

Abstract

Objectives: We aim to characterize the serial quantitative apparent diffusion coefficient (ADC) changes of the target disease volume using diffusion-weighted imaging (DWI) acquired weekly during radiation therapy (RT) on a 1.5T MR-Linac and correlate these changes with tumor response and oncologic outcomes for head and neck squamous cell carcinoma (HNSCC) patients as part of a programmatic R-IDEAL biomarker characterization effort. Methods: Thirty patients with pathologically confirmed HNSCC who received curative-intent RT at the University of Texas MD Anderson Cancer Center, were included in this prospective study. Baseline and weekly Magnetic resonance imaging (MRI) (weeks 1-6) were obtained, and various ADC parameters (mean, 5 Results: There was an overall significant rise in all ADC parameters during different time points of RT compared to baseline values for both gross primary disease volume (GTV-P) and gross nodal disease volumes (GTV-N). The increased ADC values for GTV-P were statistically significant only for primary tumors achieving complete remission (CR) during RT. RPA identified GTV-P ΔADC 5 Conclusion: Assessment of ADC kinetics at regular intervals throughout RT seems to be correlated with RT response. Further studies with larger cohorts and multi-institutional data are needed for validation of ΔADC as a model for prediction of response to RT.

Identifiers

PMID37205359
PMCPMC10187456

What Socratic 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 Socratic graph.