Evidence map›Paper›PMID 32907773›Full record

ArticleUltrasound in medicine & biology2020

H-scan, Shear Wave and Bioluminescent Assessment of the Progression of Pancreatic Cancer Metastases in the Liver.

Jihye Baek, Rifat Ahmed, Jian Ye, Scott A Gerber, Kevin J Parker, Marvin M Doyley

Open access · greenAbstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Jihye BaekDepartment of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA.
Rifat AhmedDepartment of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA.
Jian YeDepartment of Surgery, University of Rochester Medical Center, Rochester, New York, USA.
Scott A GerberDepartment of Surgery, University of Rochester Medical Center, Rochester, New York, USA.
Kevin J ParkerDepartment of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA. Electronic address: kevin.parker@rochester.edu.
Marvin M DoyleyDepartment of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA.
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

Surrogate imaging biomarkers for tracking anti-stromal therapyR56EB024320 · NIBIB · UNIVERSITY OF ROCHESTER · PI DOYLEY, MARVIN M · 2017 to 2017
$440k
The H-scan approach to classifying ultrasound echoesR21EB025290 · NIBIB · UNIVERSITY OF ROCHESTER · PI PARKER, KEVIN J · 2018 to 2019
$420k
NIBIB NIH HHS R21 EB025290NIBIB NIH HHS R56 EB024320
6 · The paper itself

Abstract

The non-invasive quantification of tumor burden and the response to therapies remain an important objective for imaging modalities. To characterize the performance of two newly optimized ultrasound-based analyses, we applied shear wave and H-scan scattering analyses to repeated trans-abdominal ultrasound scans of a murine model of metastatic pancreatic cancer. In addition, bioluminescence measurements were obtained as an alternative reference. The tumor metastases grow aggressively and result in death at approximately 4 wk if untreated, but longer for those treated with chemotherapy. We found that our three imaging methods (shear wave speed, H-scan, bioluminescence) trended toward increasing output measures with time during tumor growth, and these measures were delayed for the group receiving chemotherapy. The relative sensitivity of H-scan tracked closely with bioluminescence measurements, particularly in the early to mid-stages of tumor growth. The correlation between H-scan and bioluminescence was found to be strong, with a Spearman's rank correlation coefficient greater than 0.7 across the entire series. These preliminary results suggest that non-invasive ultrasound imaging analyses are capable of tracking the response of tumor models to therapeutic agents.

Indexed as

Luminescent MeasurementsAnimalsDisease Models, AnimalDisease ProgressionFemaleLiver NeoplasmsMicePancreatic NeoplasmsUltrasonographyAbdomenAnimal models and imagingLiverMolecular and cellular imagingQuantification and estimationUltrasound

Identifiers

PMID32907773
PMCPMC9066934
OpenAlexW3083511157

What OpenQuestion holds

Textmetadata
LicenceTDM
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.