Evidence map›Paper›PMID 28835993›Full record

ArticleEuropean radiology2018

Metastatic and non-metastatic lymph nodes: quantification and different distribution of iodine uptake assessed by dual-energy CT.

Stefania Rizzo, Davide Radice, Marco Femia, Paolo De Marco, Daniela Origgi, Lorenzo Preda, Massimo Barberis, Raffaella Vigorito, Giovanni Mauri, Alberto Mauro and 1 more

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Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
2.9field-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

51 citing papers in PubMed, 78 citations in OpenAlex.

  1. Review
  2. Quantitative parameters of dual-layer spectral CT for differentiating metastatic and non-metastatic lymph nodes in colorectal cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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  16. Article
  17. Dual-Energy CT in Oncologic Imaging.Tomography (Ann Arbor, Mich.) · 2024
    Review
  18. Article
  19. Article
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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 3 institutions in 1 country.

Stefania RizzoDepartment of Radiology, European Institute of Oncology, via Ripamonti 435, 20141, Milan, Italy. stefania.rizzo@ieo.it.ORCID http://orcid.org/0000-0002-5151-0866
Davide RadiceDepartment of Epidemiology and Biostatistics, via Ramusio,1, 20141, Milan, Italy.
Marco FemiaDepartment of Health Sciences, Università di Milano, via Festa del Perdono 7, 20142, Milan, Italy.
Paolo De MarcoMedical Physics, European Institute of Oncology, via Ripamonti 435, 20141, Milan, Italy.
Daniela OriggiMedical Physics, European Institute of Oncology, via Ripamonti 435, 20141, Milan, Italy.
Lorenzo PredaDivision of Radiology, National Centre of Oncological Hadrontherapy (CNAO Foundation), Str. Campeggi 53, 27100, Pavia, Italy.
Massimo BarberisDepartment of Pathology, European Institute of Oncology, via Ripamonti 435, 20141, Milan, Italy.
Raffaella VigoritoDepartment of Health Sciences, Università di Milano, via Festa del Perdono 7, 20142, Milan, Italy.
Giovanni MauriDivision of Interventional Radiology, European Institute of Oncology, via Ripamonti 435, 20141, Milan, Italy.
Alberto MauroGE Medical Systems Italia SpA, via Galeno 36, 20126, Milan, Italy.
Massimo BellomiDepartment of Radiology, European Institute of Oncology, via Ripamonti 435, 20141, Milan, Italy.
Ripamonti · ITUniversity of Milan · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate quantification of iodine uptake in metastatic and non-metastatic lymph nodes (LNs) by dual-energy CT (DECT) and to assess if the distribution of iodine within LNs at DECT correlates with the pathological structure.

methodsNinety LNs from 37 patients (23 with lung and 14 with gynaecological malignancies) were retrospectively selected. Information of LNs sent for statistical analysis included Hounsfield units (HU) at different energy levels; decomposition material densities fat-iodine, iodine-fat, iodine-water, water-iodine. Statistical analysis included evaluation of interobserver variability, material decomposition densities and spatial HU distribution within LNs.

resultsInterobserver agreement was excellent. There was a significant difference in iodine-fat and iodine-water decompositions comparing metastatic and non-metastatic LNs (p < 0.001); fat-iodine and water-iodine did not show significant differences. HU distribution showed a significant gradient from centre to periphery within non-metastatic LNs that was significant up to 20-30% from the centre, whereas metastatic LNs showed a more homogeneous distribution of HU, with no significant gradient.

conclusionsDECT demonstrated a lower iodine uptake in metastatic compared to non-metastatic LNs. Moreover, the internal iodine distribution showed an evident gradient of iodine distribution from centre to periphery in non-metastatic LNs, and a more homogeneous distribution within metastatic LNs, which corresponded to the pathological structure. KEY POINTS: • This study demonstrated a lower iodine uptake in metastatic than non-metastatic LNs. • Internal distribution of HU was different between metastatic and non-metastatic lymph nodes. • The intranodal iodine distribution disclosed a remarkable correlation with the histological LN structure.

Indexed as

AdultAgedAged, 80 and overContrast MediaDiagnosis, DifferentialFemaleHumansIodineIohexolLymphatic MetastasisLymph NodesMaleMiddle AgedObserver VariationRetrospective StudiesTomography, X-Ray ComputedContrast MediaIodineIohexoliopromideComputed tomographyIodineLymphatic metastasisLymph nodesTissue distribution

Identifiers

PMID28835993
OpenAlexW2748100801

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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.