Evidence map›Paper›PMID 39598194›Full record

ArticleLife (Basel, Switzerland)2024

Volumetric CT Assessment of In Situ Induced Hepatic Lesions in a Transgenic Swine Model.

Derek Smetanick, Danielle Stolley, David Fuentes, Natalie W Fowlkes, Faith Shakoor, Maria Sophia Stenkamp, Samantha Hicks, Steve Parrish, Erik Cressman

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2024. 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

9 authors.

Derek SmetanickUniversity of Arizona College of Medicine Tucson, Tucson, AZ 85724, USA.
Danielle StolleyDepartment of Interventional Radiology, MD Anderson Cancer Center, The University of Texas, 1515 Holcombe Blvd., Houston, TX 77030, USA.
David FuentesDepartment of Imaging Physics, MD Anderson Cancer Center, The University of Texas, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Natalie W FowlkesDepartment of Veterinary Medicine and Surgery, MD Anderson Cancer Center, The University of Texas, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Faith ShakoorDepartment of Interventional Radiology, MD Anderson Cancer Center, The University of Texas, 1515 Holcombe Blvd., Houston, TX 77030, USA.ORCID 0000-0001-8466-2172
Maria Sophia StenkampDepartment of Veterinary Medicine and Surgery, MD Anderson Cancer Center, The University of Texas, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Samantha HicksDepartment of Veterinary Medicine and Surgery, MD Anderson Cancer Center, The University of Texas, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Steve ParrishDepartment of Interventional Radiology, MD Anderson Cancer Center, The University of Texas, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Erik CressmanDepartment of Interventional Radiology, MD Anderson Cancer Center, The University of Texas, 1515 Holcombe Blvd., Houston, TX 77030, USA.ORCID 0000-0002-8671-9862

Funding

UPWARDS Training Program (Underrepresented Minorities Working Towards Research Diversity in Science)R25CA240137 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KEYOMARSI, KHANDAN, WATOWICH, STEPHANIE S · 2020 to 2024
$2.1M
Characterization of endovascular ablative therapies with computational modelingR21CA260016 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FUENTES, DAVID · 2022 to 2023
$413k
NCI NIH HHS R21 CA260016NCI NIH HHS R25 CA240137This research was funded by the institutional research grant through MD Anderson Cancer Center N/A
6 · The paper itself

Abstract

The growth rate of in situ-induced hepatic lesions in an Oncopig large animal model is quantitatively assessed. Oncopigs (n = 9) received baseline triple-phase CT scans prior to lesion induction. Lesions were subsequently induced by delivering the Ad-Cre vector to four locations in the liver. Triple-phase CT scans were obtained weekly to track the growth of the lesions. Animals were sacrificed at 14, 21, or 28 days (n = 3 in each group). The overall success rate of lesion generation was ~78%. Histopathology sections consistently revealed lesions that were highly inflammatory and consisted of a large leukocyte population without clear evidence of carcinomas. Lesions presented within imaging as hypovascular, low attenuating masses with slight contrast enhancement around the margins but little to no enhancement within the lesions themselves. The observed lesions were manually segmented on the venous phase image. Segmentation volumes were fitted to a logistic growth and decay model. Several lesions observed at earlier time points in the 28-day group had fully regressed by the time of the necropsy. The overall trend of rapid growth for the first 21 days, with spontaneous regression of the lesions being observed from day 21 to 28, suggests that the optimal window for experimental studies may be from days 14 to 21. The data and mathematical models generated from this study may be used for future computational models; however, the current model presented has moderate clinical relevance because many induced tumors resolved spontaneously within a few weeks. Awareness and careful consideration of the modest relevance and limitations of the model are advisable for each specific use case.

Indexed as

hepatocellular carcinomaimage segmentationlarge animal modelmathematical modeling

Identifiers

PMID39598194
PMCPMC11595248

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.