Evidence map›Paper›PMID 30589454›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2019

Performance of Molecular Lymphosonography for Detection and Quantification of Metastatic Involvement in Sentinel Lymph Nodes.

Kibo Nam, Robert Stapp, Ji-Bin Liu, Maria Stanczak, Flemming Forsberg, Patrick L O'Kane, Zhou Lin, Ziyin Zhu, Jingzhi Li, Charalambos C Solomides and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 3 institutions in 2 countries.

Kibo NamDepartments of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-8180-7284
Robert StappDepartments of Pathology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Ji-Bin LiuDepartments of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Maria StanczakDepartments of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Flemming ForsbergDepartments of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-2215-1371
Patrick L O'KaneDepartments of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Zhou LinDepartment of Ultrasound, Shenzhen Children's Hospital, Shenzhen, China.
Ziyin ZhuDepartment of Ultrasound, Beijing Friendship Hospital, Beijing, China.
Jingzhi LiDepartments of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Charalambos C SolomidesDepartments of Pathology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
John R EisenbreyDepartments of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Andrej LyshchikDepartments of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Thomas Jefferson University · USChina-Japan Friendship Hospital · CNShenzhen Children's Hospital · CN

Funding

CONTRAST-ENHANCED ULTRASOUND EVALUATION OF FOCAL LIVER LESIONS IN PATIENTS WITH CIRRHOSIS OR OTHER RISK FACTORS FOR DEVELOPING HCCR01CA215520 · NCI · THOMAS JEFFERSON UNIVERSITY · PI LYSHCHIK, ANDREJ · 2017 to 2020
$2.4M
Molecular Lymphosonography for Sentinel Lymph Node CharacterizationR21CA185121 · NCI · THOMAS JEFFERSON UNIVERSITY · PI LYSHCHIK, ANDREJ · 2014 to 2015
$371k
NCI NIH HHS R01 CA215520NCI NIH HHS R21 CA185121
6 · The paper itself

Abstract

objectivesTo assess the performance of molecular lymphosonography with dual-targeted microbubbles in detecting and quantifying the metastatic involvement in sentinel lymph nodes (SLNs) using a swine melanoma model.

methodsTargeted microbubbles were labeled with P-selectin and α

resultsThirty-five SLNs and 34 non-SLNs from 13 Sinclair swine were included in this study. Twenty-one SLNs (62%) were malignant, whereas 100% of non-SLNs were benign. The sensitivity of B-mode imaging for metastatic LN diagnosis for both readers was relatively high (90% and 71%), but the specificity was very poor (50% and 58%). The sensitivity and specificity of molecular lymphosonography for metastatic LN detection were 91% and 67%, respectively. The mean intensities from dual-targeted microbubbles correlated well with the degree of metastatic LN involvement (r = 0.6; P < 0.001).

conclusionsMolecular lymphosonography can increase the specificity of metastatic LN detection and provide a measure to quantify the degree of metastatic involvement.

Indexed as

AnimalsContrast MediaDisease Models, AnimalFerric CompoundsImage EnhancementIronLymphatic MetastasisMelanomaMicrobubblesOxidesReproducibility of ResultsSensitivity and SpecificitySentinel Lymph NodeSwineUltrasonographyContrast MediaFerric CompoundsIronOxidesSonazoidcontrast-enhanced ultrasoundlymph node metastasismolecular lymphosonographysentinel lymph nodetargeted microbubbles

Identifiers

PMID30589454
PMCPMC6597332
OpenAlexW2907213293

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.