Evidence map›Paper›PMID 36148033›Full record

ArticleCurrent opinion in biomedical engineering2022

A review of co-registered transvaginal photoacoustic and ultrasound imaging for ovarian cancer diagnosis.

Quing (Ching) Zhu

Open access · greenAbstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Histological and photoacoustic evaluation of rectal cancer after neoadjuvant therapy using microvascular density.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2024
    Article
  5. Photoacoustic imaging plus X: a review.Journal of biomedical optics · 2024
    Review
  6. Article
  7. 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 at 1 institution in 1 country.

Quing (Ching) ZhuWashington University in St Louis, United States.
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
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 CA237664
6 · The paper itself

Abstract

Ovarian cancer is the deadliest of all gynecological malignancies. When ovarian cancer is detected at an early, localized stage, surgery and chemotherapy can cure 70%-90% of patients, compared with 20% or fewer when it is diagnosed at later stages. Clearly, early detection is critical, yet the lack of early symptoms and effective screening tools means that only 20-25% of ovarian cancers are diagnosed early. Photoacoustic imaging (PAI) is an emerging modality that uses a short-pulsed laser to excite tissue. The resulting photoacoustic waves are used to image tissue optical contrast, which is directly related to tissue microvasculature and thus to cancer growth. When co-registered with transvaginal ultrasound (US), PAI offers great promise in diagnosing earlier stage ovarian cancers and distinguishing benign processes from malignant ovarian masses. In this article, we review the limitations of the current imaging tools for early ovarian cancer diagnosis and present recent advances in co-registered PAI/US.

Indexed as

Ovarian cancerPhotoacoustic imagingTransvaginal ultrasound

Identifiers

PMID36148033
PMCPMC9491380
OpenAlexW4225983222

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.