Evidence map›Paper›PMID 29856718›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2018

A Method for Stereological Determination of the Structure Function From Histological Sections of Isotropic Scattering Media.

Aiguo Han

Abstract read
In one paragraph

Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Sticky Hard-Sphere Model for Characterizing Tumor Microstructure via Quantitative Ultrasound.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  4. Extracting Quantitative Ultrasonic Parameters from the Backscatter Coefficient.Advances in experimental medicine and biology · 2023
    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

1 author.

Aiguo Han

Funding

Ultrasound-induced tissue damage assessmentR37EB002641 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI O'BRIEN, WILLIAM D. · 2006 to 2015
$6.1M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
Tumor Detection and Classification using QUS Technology's Structure FunctionR01CA226528 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI O'BRIEN, WILLIAM D. · 2019 to 2024
$2.3M
NCI NIH HHS R01 CA226528NIBIB NIH HHS R37 EB002641NIDDK NIH HHS R01 DK106419
6 · The paper itself

Abstract

The frequency-dependent ultrasonic backscatter coefficient (BSC) from tissues, a fundamental parameter estimated by quantitative ultrasound (QUS) techniques, contains microstructure information useful for tissue characterization. To extract the microstructure information from the BSC, the tissue under investigation is often modeled as a collection of discrete scatterers embedded in a homogeneous background. From a discrete scatterer point of view, the BSC is dependent on not only the properties of individual scatterers relative to the background but also the scatterer spatial arrangement [described by the structure function (SF)]. Recently, the 2-D SF was computed from histological tissue sections, and was shown to be related to the volumetric SF extracted from QUS measurements. In this paper, a stereological method is proposed to extract the volumetric (3-D) SF from 2-D histological tissue sections. Simulations and experimental cell pellet biophantom studies were conducted to evaluate the proposed method. Simulation results verified the proposed method. Experimental results showed that the volumetric SF extracted using the proposed method had a significantly better agreement with the QUS-extracted SF than did the 2-D SF extracted in the previous study. The proposed stereological approach provides a useful tool for predicting the SF from histology.

Indexed as

AlgorithmsHistological TechniquesImage Processing, Computer-AssistedModels, BiologicalPhantoms, ImagingScattering, RadiationSignal Processing, Computer-AssistedUltrasonography

Identifiers

PMID29856718
PMCPMC5997396

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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.