Evidence map›Paper›PMID 36325304›Full record

ArticlePhotoacoustics2022

Ultrasound-enhanced Unet model for quantitative photoacoustic tomography of ovarian lesions.

Yun Zou, Eghbal Amidi, Hongbo Luo, Quing Zhu

Open access · goldAbstract read
In one paragraph

Article in Photoacoustics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. The Ultrasonography Characteristics of Borderline Ovarian Tumor Subtypes.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Photoacoustic imaging plus X: a review.Journal of biomedical optics · 2024
    Review
  8. Characterization of adnexal lesions using photoacoustic imaging to improve sonographic O-RADS risk assessment.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2023
    Article
  9. Article
  10. 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

4 authors at 1 institution in 1 country.

Yun ZouDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Eghbal AmidiDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Hongbo LuoDepartment of Electrical and System Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Quing ZhuDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Washington University in St. Louis · US

Funding

Coregistered Photoacoustic and Ultrasound Imaging for Ovarian Cancer Diagnosis and Risk ManagementR01CA237664 · NCI · WASHINGTON UNIVERSITY · PI POWELL, MATTHEW A, SIEGEL, CARY L · 2020 to 2024
$2.6M
Improving diagnostic US for reduction of benign breast biopsies using US-guided Optical TomographyR01CA228047 · NCI · WASHINGTON UNIVERSITY · PI POPLACK, STEVEN, ZHU, QUING · 2019 to 2023
$1.9M
Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian canR01CA151570 · NCI · WASHINGTON UNIVERSITY · PI BREWER, MOLLY A., ZHU, QUING · 2011 to 2015
$1.6M
NCI NIH HHS R01 CA151570NCI NIH HHS R01 CA228047NCI NIH HHS R01 CA237664
6 · The paper itself

Abstract

Quantitative photoacoustic tomography (QPAT) is a valuable tool in characterizing ovarian lesions for accurate diagnosis. However, accurately reconstructing a lesion's optical absorption distributions from photoacoustic signals measured with multiple wavelengths is challenging because it involves an ill-posed inverse problem with three unknowns: the Grüneisen parameter

Indexed as

Blood oxygenation saturationOvarian cancerQuantitative photoacoustic tomographyUnet

Identifiers

PMID36325304
PMCPMC9619170
OpenAlexW4307238903

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.