Evidence map›Paper›PMID 41464242›Full record

ArticleDiagnostics (Basel, Switzerland)2025

A Pre-Trained Model Customization Framework for Accelerated PET/MR Segmentation of Abdominal Fat in Obstructive Sleep Apnea.

Valentin Fauveau, Heli Patel, Jennifer Prevot, Bolong Xu, Oren Cohen, Samira Khan, Philip M Robson, Zahi A Fayad, Christoph Lippert, Hayit Greenspan and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. 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

12 authors.

Valentin FauveauBiomedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-5942-0013
Heli PatelBiomedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-5405-2672
Jennifer PrevotDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Bolong XuDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Oren CohenDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Samira KhanDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0003-4480-9162
Philip M RobsonBiomedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Zahi A FayadBiomedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Christoph LippertDigital Health & Machine Learning, Hasso Plattner Institute, University of Potsdam, 14469 Potsdam, Germany.
Hayit GreenspanBiomedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Neomi ShahDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Vaishnavi KundelDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-2923-9539

Funding

Imaging the Atherosclerosis Cascade in Sleep ApneaR01HL143221 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SHAH, NEOMI A · 2018 to 2022
$4.2M
Application of Machine Learning to Identify Obstructive Sleep Apnea Subgroups at Risk for Atherosclerosis Progression and Cardiovascular Disease Events (OSA-GRANDE)R01HL168897 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Girish Nitin Nadkarni, Mayte Suarez-Farinas · 2024 to 2026
$2.3M
Multidisciplinary Research Training in Sleep ScienceT32HL160511 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI INDU A AYAPPA, ANDREW W VARGA · 2023 to 2026
$1.5M
Use of Novel Multi-modality Imaging to Evaluate the Relationship Between Sleep Duration, Vascular Inflammation, and Visceral AdiposityK23HL161324 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Vaishnavi Kundel · 2022 to 2026
$956k
National Heart Lung and Blood Institute R01HL143221 and K23HL161324NHLBI NIH HHS K23 HL161324NHLBI NIH HHS R01 HL143221NHLBI NIH HHS R01 HL168897NHLBI NIH HHS T32 HL160511
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligence (AI)biomarkercardiovascular disease (CVD)deep learning (DL)magnetic resonance imaging (MRI)obstructive sleep apnea (OSA)positron emission tomography (PET)RadImageNet (RIN)subcutaneous adipose tissue (SAT)transfer learningvisceral adipose tissue (VAT)

Identifiers

PMID41464242
PMCPMC12731918

What OpenQuestion 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 OpenQuestion graph.