Evidence map›Paper›PMID 36747228›Full record

ArticleRadiation oncology (London, England)2023

Clinical utility of combined assessments of 4D volumetric perfusion CT, diffusion-weighted MRI and

Hirokazu Tsuchiya, Munetaka Matoba, Yuka Nishino, Kiyotaka Ota, Mariko Doai, Hiroji Nagata, Hiroyuki Tuji

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

Article in Radiation oncology (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Hirokazu TsuchiyaDepartment of Radiology, Kanazawa Medical University, Daigaku 1-1, Uchinada, Kahoku, Ishikawa, 920-0293, Japan.
Munetaka MatobaDepartment of Radiology, Kanazawa Medical University, Daigaku 1-1, Uchinada, Kahoku, Ishikawa, 920-0293, Japan. m-matoba@kanazawa-med.ac.jp.
Yuka NishinoDepartment of Radiology, Kanazawa Medical University, Daigaku 1-1, Uchinada, Kahoku, Ishikawa, 920-0293, Japan.
Kiyotaka OtaDepartment of Radiology, Kanazawa Medical University, Daigaku 1-1, Uchinada, Kahoku, Ishikawa, 920-0293, Japan.
Mariko DoaiDepartment of Radiology, Kanazawa Medical University, Daigaku 1-1, Uchinada, Kahoku, Ishikawa, 920-0293, Japan.
Hiroji NagataSection of Radiological Technology, Department of Medical Technology, Kanazawa Medical University, Daigaku 1-1, Uchinada, Kahoku, Ishikawa, 920-0293, Japan.
Hiroyuki TujiDepartment of Head and Neck Surgery, Kanazawa Medical University, Daigaku 1-1, Uchinada, Kahoku, Ishikawa, 920-0293, Japan.
Kanazawa Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiparametric imaging has been seen as a route to improved prediction of chemoradiotherapy treatment outcomes. Four-dimensional volumetric perfusion CT (4D PCT) is useful for whole-organ perfusion measurement, as it reflects the heterogeneity of the tumor and its perfusion parameters. However, there has been no study using multiparametric imaging including 4D PCT for the prognostic prediction of chemoradiotherapy. The purpose of this study was to determine whether combining assessments of 4D PCT with diffusion-weighted MRI (DWI) and

methodsWe examined 53 patients with HNSCC who underwent 4D PCT, DWI and PET-CT before chemoradiotherapy. The imaging and clinical parameters were assessed the relations to locoregional control (LRC) and progression-free survival (PFS) by logistic regression analyses. A receiver operating characteristic (ROC) analysis was performed to assess the accuracy of the significant parameters identified by the multivariate analysis for the prediction of LRC and PFS. We additionally assessed using the scoring system whether these independent parameters could have a complementary role for the prognostic prediction.

resultsThe median follow-up was 30 months. In multivariate analysis, blood flow (BF; p = 0.02) and blood volume (BV; p = 0.04) were significant prognostic factors for LRC, and BF (p = 0.03) and skewness of the ADC histogram (p = 0.02) were significant prognostic factors for PFS. A significant positive correlation was found between BF and BV (ρ = 0.6, p < 0.001) and between BF and skewness (ρ = 0.46, p < 0.01). The ROC analysis showed that prognostic accuracy for LRC of BF, BV, and combination of BF and BV were 77.8%, 70%, and 92.9%, and that for PFS of BF, skewness, and combination of BF and skewness were 55.6%, 63.2%, and 77.5%, respectively. The scoring system demonstrated that the combination of higher BF and higher BV was significantly associated with better LRC (p = 0.04), and the combination of lower BF and lower skewness was significantly associated with worse PFS (p = 0.004).

conclusionA combination of parameters derived from 4DPCT and ADC histograms may enhance prognostic accuracy in HNSCC patients treated with chemoradiotherapy.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsChemoradiotherapyDiffusion Magnetic Resonance ImagingFluorodeoxyglucose F18Four-Dimensional Computed TomographyHumansPerfusionPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsSquamous Cell Carcinoma of Head and NeckFluorodeoxyglucose F18RadiopharmaceuticalsChemoradiotherapyHead and neck cancerMultiparametric imagingPerfusion CTPrognostic prediction

Identifiers

PMID36747228
PMCPMC9901150
OpenAlexW4319318968

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.