Evidence map›Paper›PMID 31746155›Full record

ArticleJournal of biomedical optics2019

Co-registered photoacoustic and ultrasound imaging of human colorectal cancer.

Guang Yang, Eghbal Amidi, William Chapman, Sreyankar Nandy, Atahar Mostafa, Heba Abdelal, Zahra Alipour, Deyali Chatterjee, Matthew Mutch, Quing Zhu

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  15. Repurposing Molecular Imaging and Sensing for Cancer Image-Guided Surgery.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020
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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

10 authors at 1 institution in 1 country.

Guang YangWashington Univ. in St. Louis, United States.
Eghbal AmidiWashington Univ. in St. Louis, United States.
William ChapmanWashington Univ. School of Medicine in St. Louis, United States.
Sreyankar NandyWashington Univ. in St. Louis, United States.
Atahar MostafaWashington Univ. in St. Louis, United States.
Heba AbdelalWashington Univ. School of Medicine in St. Louis, United States.
Zahra AlipourWashington Univ. School of Medicine in St. Louis, United States.
Deyali ChatterjeeWashington Univ. School of Medicine in St. Louis, United States.
Matthew MutchWashington Univ. School of Medicine in St. Louis, United States.
Quing ZhuWashington Univ. in St. Louis, United States.
Washington University in St. Louis · US

Funding

SURGICAL ONCOLOGY TRAINING GRANTT32CA009621 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN, William E. Gillanders · 1988 to 2026
$12.9M
Near Infrared Diffused Light Imaging with Ultrasound Guidance: Predicting Neoadjuvant Chemotherapy ResponseR01EB002136 · NIBIB · WASHINGTON UNIVERSITY · PI ZHU, QUING · 2003 to 2016
$3.4M
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 T32 CA009621NIBIB NIH HHS R01 EB002136
6 · The paper itself

Abstract

<p>Colorectal cancer is the second most common malignancy diagnosed globally. Critical gaps exist in diagnostic and surveillance imaging modalities for colorectal neoplasia. Although prior studies have demonstrated the capability of photoacoustic imaging techniques to differentiate normal from neoplastic tissue in the gastrointestinal tract, evaluation of deep tissue with a fast speed and a large field of view remains limited. To investigate the ability of photoacoustic technology to image deeper tissue, we conducted a pilot study using a real-time co-registered photoacoustic tomography (PAT) and ultrasound (US) system. A total of 23 <italic>ex vivo</italic> human colorectal tissue samples were imaged immediately after surgical resection. Co-registered photoacoustic images of malignancies showed significantly increased PAT signal compared to normal regions of the same sample. The quantitative relative total hemoglobin (rHbT) concentration computed from four optical wavelengths, the spectral features, such as the mean spectral slope, and 0.5-MHz intercept extracted from PAT and US spectral data, and image features, such as the first- and second-order statistics along with the standard deviation of the mean radon transform of PAT images, have shown statistical significance between untreated colorectal tumors and the normal tissue. Using either a logistic regression model or a support vector machine, the best set of parameters of rHbT and PAT intercept has achieved area-under-the-curve (AUC) values of 0.97 and 0.95 for both training and testing data sets, respectively, for prediction of histologically confirmed invasive carcinoma.</p>.

Indexed as

Photoacoustic TechniquesUltrasonographyAdenocarcinomaArea Under CurveColonic PolypsColorectal NeoplasmsGastrointestinal TractHemoglobinsHumansModels, StatisticalMultimodal ImagingPilot ProjectsRegression AnalysisROC CurveSupport Vector MachineHemoglobinshuman colorectal cancerphotoacoustic imagingprediction models

Identifiers

PMID31746155
PMCPMC6861706
OpenAlexW2989597598

What OpenQuestion holds

Textmetadata
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.