Evidence map›Paper›PMID 39590940›Full record

ReviewTomography (Ann Arbor, Mich.)2024

Head and Neck Squamous Cell Carcinoma: Insights from Dual-Energy Computed Tomography (DECT).

Eleonora Bicci, Antonio Di Finizio, Leonardo Calamandrei, Francesca Treballi, Francesco Mungai, Stefania Tamburrini, Giacomo Sica, Cosimo Nardi, Luigi Bonasera, Vittorio Miele

Abstract readReview
In one paragraph

Review in Tomography (Ann Arbor, Mich.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Eleonora BicciDepartment of Radiology, Careggi University Hospital, 50134 Florence, Italy.ORCID 0000-0002-1231-6200
Antonio Di FinizioDepartment of Radiology, Careggi University Hospital, University of Florence, 50134 Florence, Italy.ORCID 0009-0000-6515-9125
Leonardo CalamandreiDepartment of Radiology, Careggi University Hospital, University of Florence, 50134 Florence, Italy.ORCID 0000-0002-7681-7012
Francesca TreballiDepartment of Radiology, Careggi University Hospital, University of Florence, 50134 Florence, Italy.
Francesco MungaiDepartment of Radiology, Careggi University Hospital, 50134 Florence, Italy.
Stefania TamburriniDepartment of Radiology, Ospedale del Mare, ASL NA1 Centro, 80147 Naples, Italy.ORCID 0000-0003-0455-0256
Giacomo SicaDepartment of Radiology, Monaldi Hospital, 80131 Naples, Italy.ORCID 0000-0002-9518-9744
Cosimo NardiDepartment of Radiology, Careggi University Hospital, 50134 Florence, Italy.ORCID 0000-0002-5489-7824
Luigi BonaseraDepartment of Radiology, Careggi University Hospital, 50134 Florence, Italy.
Vittorio MieleDepartment of Radiology, Careggi University Hospital, 50134 Florence, Italy.ORCID 0000-0002-7848-1567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck cancer represents the seventh most common neoplasm worldwide, with squamous cell carcinoma being the most represented histologic variant. The rising incidence of the neoplastic pathology of this district, coupled with the drastic changes in its epidemiology over the past decades, have posed significant challenges to physicians worldwide in terms of diagnosis, prognosis, and treatment. In order to meet these challenges, a considerable amount of effort has been spent by the authors of the recent literature to explore new technologies and their possible employment for the better diagnostic and prognostic definition of head and neck squamous cell carcinoma (HNSCC). Among these technologies, a growing interest has been gathering around the possible applications of dual-energy computed tomography (DECT) in head and neck pathology. Dual-energy computed tomography (DECT) utilizes two distinct X-ray energy spectra to obtain two datasets in a single scan, allowing for material differentiation based on unique attenuation profiles. DECT offers key benefits such as enhanced contrast resolution, reduced beam-hardening artifacts, and precise iodine quantification through monochromatic reconstructions. It also creates material decomposition images, like iodine maps, aiding in tumor characterization and therapy assessment. This paper aims to summarize recent findings on the use of DECT in HNSCC, providing a comprehensive overview to aid further research and exploration in the field.

Indexed as

Head and Neck NeoplasmsRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedCarcinoma, Squamous CellHumansSquamous Cell Carcinoma of Head and Neckcomputed tomographyDECTdual-energy CThead and neckoncology

Identifiers

PMID39590940
PMCPMC11598236

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.