Evidence map›Paper›PMID 33247166›Full record

ArticleScientific reports2020

Assessment of metastatic lymph nodes in head and neck squamous cell carcinomas using simultaneous

Jenny Chen, Mari Hagiwara, Babak Givi, Brian Schmidt, Cheng Liu, Qi Chen, Jean Logan, Artem Mikheev, Henry Rusinek, Sungheon Gene Kim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.0field-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.

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Comparable Accuracy of Quantitative and Visual Analyses of [Diagnostics (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Promise of hypoxia-targeted tracers in metastatic lymph node imaging.European journal of nuclear medicine and molecular imaging · 2022
    Article
  12. Synergistic motion compensation strategies for positron emission tomography when acquired simultaneously with magnetic resonance imaging.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Review
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

10 authors at 3 institutions in 1 country.

Jenny ChenDepartment of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Mari HagiwaraDepartment of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Babak GiviDepartment of Otolaryngology-Head and Neck Surgery, New York University School of Medicine, New York, NY, USA.
Brian SchmidtDepartment of Oral and Maxillofacial Surgery, Bluestone Center for Clinical Research, New York University College of Dentistry, New York, NY, USA.
Cheng LiuDepartment of Pathology, New York University School of Medicine, New York, NY, USA.
Qi ChenDepartment of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Jean LoganDepartment of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Artem MikheevDepartment of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Henry RusinekDepartment of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Sungheon Gene KimDepartment of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA. sgk4001@med.cornell.edu.
New York University · USAdvanced Imaging Research (United States) · USCornell University · US

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
DCE MRI Study for Breast Cancer.R01CA160620 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2012 to 2023
$5.4M
Diffusion MRI of Treatment Response for De-escalation of Radiation TherapyUH3CA228699 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2021 to 2023
$1.2M
Advanced Software for MRI, PET, SPECT and CT Image AnalysisU24EB028980 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RUSINEK, HENRY · 2019 to 2021
$1.2M
Diffusion MRI of Treatment Response for De-escalation of Radiation TherapyUG3CA228699 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2019 to 2020
$807k
PET/MR study of Metastatic Lymph Nodes in Head and Neck CancerR21CA188217 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIM, SUNGHEON GENE · 2014 to 2015
$703k
NCI NIH HHS R01 CA160620NCI NIH HHS R21 CA188217NCI NIH HHS UG3 CA228699NCI NIH HHS UH3 CA228699NIA NIH HHS P30 AG066512NIBIB NIH HHS P41 EB017183NIBIB NIH HHS U24 EB028980NIH HHS R21CA188217
6 · The paper itself

Abstract

In this study, we investigate the feasibility of using dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), diffusion weighted imaging (DWI), and dynamic positron emission tomography (PET) for detection of metastatic lymph nodes in head and neck squamous cell carcinoma (HNSCC) cases. Twenty HNSCC patients scheduled for lymph node dissection underwent DCE-MRI, dynamic PET, and DWI using a PET-MR scanner within one week prior to their planned surgery. During surgery, resected nodes were labeled to identify their nodal levels and sent for routine clinical pathology evaluation. Quantitative parameters of metastatic and normal nodes were calculated from DCE-MRI (v

Indexed as

AdultAgedAged, 80 and overFemaleFluorodeoxyglucose F18Follow-Up StudiesHead and Neck NeoplasmsHumansLymphatic MetastasisLymph NodesMagnetic Resonance ImagingMaleMiddle AgedPositron-Emission TomographyPrognosisRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID33247166
PMCPMC7695736
OpenAlexW3109359120

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.