Evidence map›Paper›PMID 36530194›Full record

ReviewExploration of targeted anti-tumor therapy2022

Diffusion-weighted imaging and apparent diffusion coefficient mapping of head and neck lymph node metastasis: a systematic review.

Maria Paola Belfiore, Valerio Nardone, Ida D'Onofrio, Antonio Alessandro Helliot Salvia, Emma D'Ippolito, Luigi Gallo, Valentina Caliendo, Gianluca Gatta, Morena Fasano, Roberta Grassi and 4 more

Open access · diamondAbstract readReview
In one paragraph

Review in Exploration of targeted anti-tumor therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 1 institution in 1 country.

Maria Paola BelfioreDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0001-8219-1493
Valerio NardoneDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0002-7347-0965
Ida D'OnofrioUnit of Radiation Oncology, Ospedale del Mare, 80138 Naples, Italy.ORCID https://orcid.org/0000-0002-4396-9466
Antonio Alessandro Helliot SalviaDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Emma D'IppolitoDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0003-2899-6447
Luigi GalloDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0002-5212-9207
Valentina CaliendoDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0002-4115-2532
Gianluca GattaDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0003-0874-8294
Morena FasanoDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0003-0782-8778
Roberta GrassiDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0002-4322-8115
Antonio AngrisaniDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0003-4470-7561
Cesare GuidaUnit of Radiation Oncology, Ospedale del Mare, 80138 Naples, Italy.ORCID https://orcid.org/0000-0003-3687-2006
Alfonso ReginelliDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0003-4809-6235
Salvatore CappabiancaDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID https://orcid.org/0000-0002-5417-2268
University of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Head and neck squamous cell cancer (HNSCC) is the ninth most common tumor worldwide. Neck lymph node (LN) status is the major indicator of prognosis in all head and neck cancers, and the early detection of LN involvement is crucial in terms of therapy and prognosis. Diffusion-weighted imaging (DWI) is a non- invasive imaging technique used in magnetic resonance imaging (MRI) to characterize tissues based on the displacement motion of water molecules. This review aims to provide an overview of the current literature concerning quantitative diffusion imaging for LN staging in patients with HNSCC. Methods: This systematic review performed a literature search on the PubMed database (https://pubmed.ncbi.nlm.nih.gov/) for all relevant, peer-reviewed literature on the subject following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) criteria, using the keywords: DWI, MRI, head and neck, staging, lymph node. Results: After excluding reviews, meta-analyses, case reports, and bibliometric studies, 18 relevant papers out of the 567 retrieved were selected for analysis. Conclusions: DWI improves the diagnosis, treatment planning, treatment response evaluation, and overall management of patients affected by HNSCC. More robust data to clarify the role of apparent diffusion coefficient (ADC) and DWI parameters are needed to develop models for prognosis and prediction in HNSCC cancer using MRI.

Indexed as

Diffusion-weighted imaginghead and neck cancerhead and neck squamous cell cancerlymph nodemagnetic resonance imaging

Identifiers

PMID36530194
PMCPMC9750825
OpenAlexW4312067301

What OpenQuestion 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 OpenQuestion graph.