Evidence map›Paper›PMID 42073521›Full record

ArticleCancers2026

Multimodal Deep Learning for Prediction of Progression-Free Survival in Patients with Neuroendocrine Tumors Undergoing

Simon Baur, Tristan Ruhwedel, Ekin Böke, Zuzanna Kobus, Gergana Lishkova, Christoph Wetz, Holger Amthauer, Christoph Roderburg, Frank Tacke, Julian M Rogasch and 4 more

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Future of radiotheranostics.BMJ oncology · 2026
    Review
  2. 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

14 authors.

Simon BaurDepartment of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany.ORCID 0009-0009-4307-3078
Tristan RuhwedelDepartment of Nuclear Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0002-4693-5704
Ekin BökeDepartment of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany.
Zuzanna KobusDepartment of Hepatology and Gastroenterology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0009-0002-5641-7844
Gergana LishkovaDepartment of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Christoph WetzDepartment of Nuclear Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Holger AmthauerDepartment of Nuclear Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0003-4414-0657
Christoph RoderburgClinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Medical Faculty of Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.
Frank TackeDepartment of Hepatology and Gastroenterology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0001-6206-0226
Julian M RogaschDepartment of Nuclear Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0002-0817-6532
Wojciech SamekDepartment of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany.ORCID 0000-0002-6283-3265
Henning JannDepartment of Hepatology and Gastroenterology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Jackie MaDepartment of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany.ORCID 0000-0002-2268-1690
Johannes EschrichDepartment of Hepatology and Gastroenterology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0002-7390-6431

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

[177Lu]Lu-DOTATOCmultimodal deep learningneuroendocrine tumorspeptide receptor radionuclide therapypredictive modelingprogression-free survivalradiomicssomatostatin receptor PET/CTtreatment outcome

Identifiers

PMID42073521
PMCPMC13115172

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.