Evidence map›Paper›PMID 41873412›Full record

ArticleRadiology advances2026

When is patient-specific lung shunt fraction necessary in

Matthew Allan Thomas, Ryan C Lee, Tharun Alamuri, Dan Giardina, John Karageorgiou, Naganathan Mani, Daniel A Braga, Christopher D Malone

Abstract read
In one paragraph

Article in Radiology advances, 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. Article
  2. Article
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

8 authors.

Matthew Allan ThomasMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States.ORCID https://orcid.org/0000-0002-3533-740X
Ryan C LeeRenaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, United States.ORCID https://orcid.org/0000-0002-3448-0730
Tharun AlamuriRenaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, United States.ORCID https://orcid.org/0000-0002-8765-3498
Dan GiardinaMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States.
John KarageorgiouMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States.
Naganathan ManiMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States.
Daniel A BragaMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States.
Christopher D MaloneMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung shunt fraction (LSF) derived from macroaggregated albumin (MAA)-based nuclear medicine imaging is a standard component of yttrium-90 selective internal radiation therapy ( Purpose: To propose and evaluate a pretreatment identification method for patient-specific LSF that may influence treatment planning in Methods: MAA SPECT/CT-based LSF (LSF Results: A total of 354 cases were analyzed from 297 patients (92 females and 205 males). Median (interquartile range) age at MAA-SPECT/CT was 69 (63-74). LSF Conclusion: Patient-specific, MAA-based LSF determination may be obviated in most

Indexed as

90Ylung doselung shunt fraction (LSF)macroaggregated albumin (MAA) single photon emission computed tomography (SPECT)/CTradiation segmentectomyradioembolizationselective internal radiation therapy (SIRT)streamlined “no-MAA” 90Y

Identifiers

PMID41873412
PMCPMC13005926

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.