Evidence map›Paper›PMID 42658297›Full record

ReviewCurrent oncology reports2026

Role of Interventional Oncology in the Management of Neuroendocrine Tumors: 2026 Update.

Daniel M DePietro, Michael C Soulen

Abstract readReview
In one paragraph

Review in Current oncology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Daniel M DePietroDivision of Interventional Radiology, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Silverstein, 3400 Spruce Street, Philadelphia, PA, 19104, USA. daniel.depietro@pennmedicine.upenn.edu.
Michael C SoulenDivision of Interventional Radiology, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Silverstein, 3400 Spruce Street, Philadelphia, PA, 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewSummarize recent advances in interventional oncology for the management of neuroendocrine tumor liver metastases (NETLMs), with a focus on evolving evidence for embolization and ablation, integration with systemic therapies, and emerging approaches. RECENT

findingsRecent studies have strengthened the role of liver-directed therapies within multidisciplinary NET care. Long-term data supports transarterial chemoembolization as an effective and repeatable line of therapy. Improved dosimetry techniques are refining radioembolization's role in NETLM treatment, improving outcomes while limiting long-term toxicities. Synergistic treatment combinations have demonstrated promising efficacy. New evidence for focal therapies, including radiation segmentectomy and histotripsy, may expand options for solitary and oligometastatic disease. Concurrent biopsy and molecular profiling increasingly inform treatment decisions. Interventional radiologists play an increasingly important role in NETLM management by providing tailored and targeted liver-directed therapies, improving patient outcomes, delaying the start of systemic therapies, and integrating with NET treatment plans. Ongoing studies will further define optimal treatment sequencing and patient selection while expanding interventional treatment options.

Indexed as

Liver NeoplasmsNeuroendocrine TumorsChemoembolization, TherapeuticCombined Modality TherapyEmbolization, TherapeuticHumansRadioembolization, TherapeuticChemoembolizationLiver-directed therapyNeuroendocrine tumor liver metastasesRadioembolization

Identifiers

PMID42658297
PMCPMC13522089

What OpenQuestion holds

Textmetadata
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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.