Evidence map›Paper›PMID 38188292›Full record

ArticleFrontiers in oncology2023

Diffusion MRI correlation with p16 status and prediction for tumor progression in locally advanced head and neck cancer.

Yue Cao, M Aryal, P Li, C Lee, M Schipper, D You, E Jaworski, L Gharzai, J Shah, A Eisbruch and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

11 authors at 1 institution in 1 country.

Yue CaoDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
M AryalDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
P LiDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, United States.
C LeeDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
M SchipperDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
D YouDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
E JaworskiDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
L GharzaiDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
J ShahDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
A EisbruchDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
Michelle MierzwaDepartments of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
University of Michigan–Ann Arbor · US

Funding

Functional imaging-directed adaptive therapy of head and neck cancerR01CA184153 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAO, YUE · 2015 to 2019
$2.4M
Quantitative MRI models of HN Cancers for Physiological Adaption of RTU01CA183848 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAO, YUE · 2014 to 2019
$2.0M
NCI NIH HHS R01 CA184153NCI NIH HHS U01 CA183848
6 · The paper itself

Abstract

Purpose: To investigate p16 effects on diffusion image metrics and associations with tumor progression in patients with locally advanced head and neck cancers. Methods: Diffusion images pretreatment and after 20 Gy (2wk) of RT were analyzed in patients with cT4/N3 p16+ oropharynx cancer (OPSCC) (N=51) and locoregionally advanced head and neck squamous cell carcinoma (LAHNSCC) (N=28), enrolled onto a prospective adaptive RT trial. Mean ADC values, subvolumes with ADC <1.2 um Results: With a mean follow up of 36 months, 18 of LAHNSCC patients and 16 of p16+ OPSCC patients had progression. After adjusting for p16, small µ Conclusion: ADC metrics were associated with different progression patterns in the LAHNSCC and p16+ OPSCC, possibly explained by differences in cancer biology and morphology. A deep understanding of ADC metrics is warranted to establish imaging biomarkers for adaptive RT in HNSCC.

Indexed as

diffusionHNSCCimaging biomarkermagnetic resonance imagingp16+

Identifiers

PMID38188292
PMCPMC10771284
OpenAlexW4390056112

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.