Evidence map›Paper›PMID 36446688›Full record

ArticleUltrasound in medicine & biology2023

Sentinel Lymph Node Identification in Patients With Breast Cancer Using Lymphosonography.

Priscilla Machado, Ji-Bin Liu, Laurence Needleman, Melissa Lazar, Alliric I Willis, Kristin Brill, Susanna Nazarian, Adam Berger, Flemming Forsberg

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2023. 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
–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

7 citing papers in PubMed.

  1. Trial
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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

9 authors.

Priscilla MachadoDepartment of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Ji-Bin LiuDepartment of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Laurence NeedlemanDepartment of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Melissa LazarDepartment of Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Alliric I WillisDepartment of Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Kristin BrillDepartment of Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Susanna NazarianDepartment of Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Adam BergerDepartment of Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Flemming ForsbergDepartment of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA. Electronic address: flemming.forsberg@jefferson.edu.

Funding

Contrast Ultrasound Detection of Sentinel Lymph Nodes in Breast Cancer PatientsR01CA172336 · NCI · THOMAS JEFFERSON UNIVERSITY · PI FORSBERG, FLEMMING · 2015 to 2019
$1.2M
NCI NIH HHS R01 CA172336
6 · The paper itself

Abstract

The objective of the work described here was to evaluate the efficacy of lymphosonography in identifying sentinel lymph nodes (SLNs) in patients with breast cancer undergoing surgical excision. Of the 86 individuals enrolled, 79 completed this institutional review board-approved study. Participants received subcutaneous 1.0-mL injections of ultrasound contrast agent (UCA) around the tumor. An ultrasound scanner with contrast-enhanced ultrasound (CEUS) capabilities was used to identify SLNs. Participants were administered with blue dye and radioactive tracer to guide SLN excision as standard-of-care. Excised SLNs were classified as positive or negative for the presence of blue dye, radioactive tracer and UCA, and sent for pathology. Two hundred fifty-two SLNs were excised; 158 were positive for blue dye, 222 were positive for radioactive tracer and 223 were positive for UCA. Comparison with blue dye revealed accuracies of 96.2% for radioactive tracer and 99.4% for lymphosonography (p > 0.15). Relative to radioactive tracer, blue dye had an accuracy of 68.5%, and lymphosonography achieved 86.5% (p < 0.0001). Of 252 SLNs excised, 34 were determined to be malignant by pathology; 18 were positive for blue dye (detection rate = 53%), 23 for radioactive tracer (detection rate = 68%) and 34 for UCA (detection rate = 100%) (p < 0.0001). Lymphosonography was similar in accuracy to radioactive tracer and higher in accuracy than blue dye in identifying SLNs. All 34 malignant SLNs were identified by lymphosonography.

Indexed as

Breast NeoplasmsLymphadenopathySentinel Lymph NodeContrast MediaFemaleHumansLymph NodesRadioactive TracersSentinel Lymph Node BiopsyContrast MediaRadioactive TracersBreast cancerContrast-enhanced ultrasoundLymphatic mappingLymphatic tracerLymphosonographySentinel lymph nodeUltrasoundUltrasound contrast agent

Identifiers

PMID36446688
PMCPMC9943072

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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.