Evidence map›Paper›PMID 31420498›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2020

Tumor Subregion Evolution-Based Imaging Features to Assess Early Response and Predict Prognosis in Oropharyngeal Cancer.

Jia Wu, Michael F Gensheimer, Nasha Zhang, Meiying Guo, Rachel Liang, Carrie Zhang, Nancy Fischbein, Erqi L Pollom, Beth Beadle, Quynh-Thu Le and 1 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06854107 (Intratumoral and Peritumoral Habitat Radiomics of MRI Predict Pathologic Complete Response to Neoadjuvant Chemoimmunotherapy in Oral Squamous Cell Carcinoma), which is not on this map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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.

NCT06854107 completednot on this mapstarted 2023, after this paper: background citation

Intratumoral and Peritumoral Habitat Radiomics of MRI Predict Pathologic Complete Response to Neoadjuvant Chemoimmunotherapy in Oral Squamous Cell Carcinoma

TypeobservationalSponsorZilong YuanRan2023 to 2023Enrolled225ConditionsPathologic Complete Response
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Intratumor habitat aware deep learning framework for preoperative lymph node metastasis prediction in laryngeal carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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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

11 authors at 2 institutions in 1 country.

Jia WuDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and.
Michael F GensheimerDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and.
Nasha ZhangDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and.
Meiying GuoDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and.
Rachel LiangDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and.
Carrie ZhangDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and.
Nancy FischbeinDepartment of Radiology, Stanford University School of Medicine, Stanford, California.
Erqi L PollomDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and.
Beth BeadleDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and.
Quynh-Thu LeDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and.
Ruijiang LiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California; and rli2@stanford.edu.
Stanford University · USStanford Medicine · US

Funding

Multiregional imaging phenotypes and molecular correlates of aggressive versus indolent breast cancerR01CA222512 · NCI · STANFORD UNIVERSITY · PI LI, RUIJIANG · 2018 to 2023
$2.4M
MRI-Based Radiation Therapy Treatment PlanningR01CA193730 · NCI · STANFORD UNIVERSITY · PI LI, RUIJIANG · 2016 to 2020
$1.8M
QUANTITATIVE IMAGING BIOMARKERS OF TREATMENT RESPONSE AND PROGNOSIS IN BREAST CANCERR00CA218667 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WU, JIA · 2020 to 2022
$747k
Quantitative Imaging Biomarkers of Treatment Response and Prognosis in Breast CancerK99CA218667 · NCI · STANFORD UNIVERSITY · PI WU, JIA · 2018 to 2019
$322k
NCI NIH HHS K99 CA218667NCI NIH HHS R00 CA218667NCI NIH HHS R01 CA193730NCI NIH HHS R01 CA222512
6 · The paper itself

Abstract

The incidence of oropharyngeal squamous cell carcinoma (OPSCC) has been rapidly increasing. Disease stage and smoking history are often used in current clinical trials to select patients for deintensification therapy, but these features lack sufficient accuracy for predicting disease relapse. Our purpose was to develop an imaging signature to assess early response and predict outcomes of OPSCC.

Indexed as

Positron Emission Tomography Computed TomographyCarcinoma, Squamous CellDisease-Free SurvivalDisease ProgressionFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedOropharyngeal NeoplasmsRetrospective StudiesFluorodeoxyglucose F18early responsehabitat evolutionintratumoral subregionperitumoral interactionprognostic biomarker

Identifiers

PMID31420498
PMCPMC7067523
OpenAlexW2968769168

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.