Evidence map›Paper›PMID 38981950›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2024

The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized

Zahra Mansouri, Yazdan Salimi, Ghasem Hajianfar, Nicola Bianchetto Wolf, Luisa Knappe, Genti Xhepa, Adrien Gleyzolle, Alexis Ricoeur, Valentina Garibotto, Ismini Mainta and 1 more

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Evaluation of end-to-end 3D absorbed dose distribution inEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  5. Article
  6. CT-free attenuation and Monte-Carlo based scatter correction-guided quantitativeEuropean journal of nuclear medicine and molecular imaging · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. 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

11 authors.

Zahra MansouriDivision of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Yazdan SalimiDivision of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Ghasem HajianfarDivision of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Nicola Bianchetto WolfDivision of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Luisa KnappeDivision of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Genti XhepaService of Radiology, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Adrien GleyzolleService of Radiology, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Alexis RicoeurService of Radiology, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Valentina GaribottoDivision of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Ismini MaintaDivision of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Habib ZaidiDivision of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospital, CH-1211, Geneva, Switzerland. habib.zaidi@hcuge.ch.ORCID 0000-0001-7559-5297

Funding

H2020 Euratom Sinfonia project under grant agreement No 945196
6 · The paper itself

Abstract

backgroundOverall Survival (OS) and Progression-Free Survival (PFS) analyses are crucial metrics for evaluating the efficacy and impact of treatment. This study evaluated the role of clinical biomarkers and dosimetry parameters on survival outcomes of patients undergoing MATERIALS/

methodsThis preliminary and retrospective analysis included 17 patients with hepatocellular carcinoma (HCC) treated with

resultsThe median OS was 11 months [95% CI: 8.5, 13.09], whereas the PFS was seven months [95% CI: 5.6, 10.98]. Univariate analysis demonstrated the presence of Ascites (HR: 9.2[1.8,47]) and the aim of SIRT (segmentectomy, lobectomy, palliative) (HR: 0.066 [0.0057, 0.78]), Aspartate aminotransferase (AST) level (HR:0.1 [0.012-0.86]), and MAA-Dose-V

conclusionThis preliminary study confirmed the role played by baseline clinical biomarkers and dosimetry parameters in predicting the treatment outcome, paving the way for the establishment of a dose-effect relationship. In addition, the feasibility of using ML along with these features was demonstrated as a helpful tool in the clinical management of patients, both prior to and following

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMachine LearningMicrospheresPrecision MedicineRadiometryYttrium RadioisotopesAgedBiomarkers, TumorFemaleGlassHumansMaleMiddle AgedProgression-Free SurvivalRetrospective StudiesBiomarkers, TumorYttrium-90Yttrium Radioisotopes90Y RadioembolizationBiomarkersMachine learningOverall survivalProgression free survivalSIRT

Identifiers

PMID38981950
PMCPMC11639191

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.