Evidence map›Paper›PMID 42429822›Full record

SynthesisEuropean journal of nuclear medicine and molecular imaging2026

From center to edge: Prognostic implications of spatial metabolic heterogeneity, normalized hotspot-to-centroid and perimeter distance, on PET imaging. A systematic review and meta-analysis.

Sajjad Sadeghpour, Ramin Sadeghi, Atena Aghaee, Armin Doostparast, Alessio Rizzo, Giorgio Treglia, Habibollah Dadgar

Abstract readSystematic ReviewMeta-AnalysisReview
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In one paragraph

Synthesis in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sajjad SadeghpourNuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Ramin SadeghiNuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Atena AghaeeNuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Armin DoostparastEye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Alessio RizzoNuclear Medicine, Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy. alessio.rizzo@ircc.it.ORCID http://orcid.org/0009-0007-5438-8230
Giorgio TregliaNuclear Medicine, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
Habibollah DadgarCancer Research Center, Nuclear Medicine and Molecular Imaging Department, Razavi Hospital, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTumor heterogeneity remains a major challenge in oncology, influencing prognosis and treatment response. Novel PET-derived spatial radiomic features, including the normalized hotspot-to-centroid (NHOC) and normalized hotspot-to-perimeter (NHOP) distances, aim to quantify intratumoral metabolic heterogeneity and spatial distribution of metabolic activity. These biomarkers may provide biologically interpretable indicators of tumor aggressiveness and patient outcomes. The aim of this study was to systematically evaluate the prognostic and predictive performance of NHOC and NHOP derived from PET imaging across different tumor types.

methodsA systematic review and meta-analysis were conducted according to PRISMA guidelines. PubMed/MEDLINE and Google Scholar were searched up to March 2026. Studies evaluating NHOC or NHOP extracted from PET imaging in cancer patients were included. Hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS) were pooled using random-effects models.

resultsTen studies involving 1,496 patients were included. Elevated NHOC was statistically significantly associated with worse OS (HR of 2.313, 95% CI [1.418, 3.775], p = 0.001). Subgroup analysis showed a strong association in lung cancers (2.864, 95% CI [2.018, 4.063], p < 0.001), while results in breast cancer and glioma were inconclusive due to limited data. Decrease in NHOP demonstrated a non-significant trend toward poorer PFS (HR = 2.92, 95% CI: 0.71-11.92). Predictive models based on NHOC showed moderate performance (AUC up to 0.77).

conclusionsPET-derived spatial biomarkers, particularly NHOC, show promise as prognostic indicators of tumor aggressiveness and survival outcomes. Larger multicenter studies with standardized imaging protocols are needed to validate their clinical utility.

Indexed as

NeoplasmsPositron-Emission TomographyHumansPrognosisRadiomics[18F]FDG PET scanCancerNormalized hotspot-to-centroid distanceNormalized hotspot-to-perimeter distanceRadiomics

Identifiers

PMID42429822

What Socratic holds

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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 Socratic graph.