Evidence map›Paper›PMID 36769527›Full record

ArticleJournal of clinical medicine2023

The Role of Dual-Energy CT for the Assessment of Liver Metastasis Response to Treatment: Above the RECIST 1.1 Criteria.

Alfonso Reginelli, Mariateresa Del Canto, Alfredo Clemente, Eduardo Gragnano, Fabrizio Cioce, Fabrizio Urraro, Erika Martinelli, Salvatore Cappabianca

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Medical Radiology: Current Progress.Diagnostics (Basel, Switzerland) · 2023
    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

8 authors.

Alfonso ReginelliRadiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania "L. Vanvitelli", Piazza Miraglia 2, 80138 Naples, Italy.
Mariateresa Del CantoRadiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania "L. Vanvitelli", Piazza Miraglia 2, 80138 Naples, Italy.
Alfredo ClementeRadiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania "L. Vanvitelli", Piazza Miraglia 2, 80138 Naples, Italy.
Eduardo GragnanoRadiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania "L. Vanvitelli", Piazza Miraglia 2, 80138 Naples, Italy.
Fabrizio CioceRadiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania "L. Vanvitelli", Piazza Miraglia 2, 80138 Naples, Italy.
Fabrizio UrraroRadiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania "L. Vanvitelli", Piazza Miraglia 2, 80138 Naples, Italy.ORCID 0000-0003-2284-0855
Erika MartinelliMedical Oncology, Department of Precision Medicine, University of Campania "L. Vanvitelli", Piazza Miraglia 2, 80138 Naples, Italy.
Salvatore CappabiancaRadiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania "L. Vanvitelli", Piazza Miraglia 2, 80138 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging assessment of liver lesions is fundamental to predict therapeutic response and improve patient survival rates. Dual-Energy Computed Tomography (DECT) is an increasingly used technique in the oncologic field with many emerging applications. The assessment of iodine concentration within a liver lesion reflects the biological properties of the tumor and provides additional information to radiologists that is normally invisible to the human eye. The possibility to predict tumor aggressiveness and therapeutic response based on quantitative and reproducible parameters obtainable from DECT images could improve clinical decisions and drive oncologists to choose the best therapy according to metastasis biological features. Moreover, in comparison with standard dimensional criteria, DECT provides further data on the cancer microenvironment, especially for patients treated with antiangiogenic-based drugs, in which tumor shrinkage is a late parameter of response. We investigated the predictive role of DECT in the early assessment of liver metastasis response to treatment in comparison with standard dimensional criteria during antiangiogenetic-based therapy.

Indexed as

computed tomographydual-energyliver metastasisRECIST criteriatargeted therapy

Identifiers

PMID36769527
PMCPMC9917684

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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.