Evidence map›Paper›PMID 41972031›Full record

ArticleQuantitative imaging in medicine and surgery2026

Ali Bassir, Casey Dang, Kenneth Chiu, Sravani Gampala, Taylor Loon, Abhijit Salaskar, Katsuhiro Kobayashi, Andrzej Krol, David J Lubin

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Ali BassirDepartment of Internal Medicine, University Hospital, SUNY Upstate, NY, USA.
Casey DangNorton College of Medicine, Upstate Medical University, SUNY Upstate, NY, USA.
Kenneth ChiuNorton College of Medicine, Upstate Medical University, SUNY Upstate, NY, USA.
Sravani GampalaDepartment of Radiology, University Hospital, SUNY Upstate, NY, USA.
Taylor LoonDepartment of Radiology, University Hospital, SUNY Upstate, NY, USA.
Abhijit SalaskarDepartment of Radiology, Division of Interventional Radiology, University Hospital, SUNY Upstate, NY, USA.
Katsuhiro KobayashiDepartment of Radiology, Division of Interventional Radiology, University Hospital, SUNY Upstate, NY, USA.
Andrzej KrolDepartment of Radiology, University Hospital, SUNY Upstate, NY, USA.
David J LubinDepartment of Radiology, University Hospital, SUNY Upstate, NY, USA.ORCID https://orcid.org/0000-0002-6018-9517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiation induced liver damage can occur in healthy non-tumor liver tissue as a complication of radioembolization. In this study, we investigated the application of personalized dosimetry software with the surrogate radiotracer Methods: In this retrospective study, we obtained clinical follow-up in 43 patients who received radioembolization with Results: Non-tumor liver radiation dose was correlated with REILD, odds ratio (OR) =3.446 (P=0.020). Interestingly, a history of prior hepatic chemotherapy was associated with a decreased risk, OR =0.099 (P=0.046). History of cirrhosis was associated with REILD; however, this was not significant, OR of 3.495 with (P=0.156). Differences, however, between predicted and delivered absorbed radiation doses did not significantly predict the occurrence of REILD, OR =0.198 (P=0.169). Type of microsphere was also not significantly associated with REILD, OR =0.111 (P=0.079). Conclusions: The findings of this study support the use of

Indexed as

90Yttrium (90Y)dosimetrymacroaggregated albumin (MAA)radioembolization induced liver disease (REILD)voxel

Identifiers

PMID41972031
PMCPMC13066890

What OpenQuestion 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 OpenQuestion graph.