AI Article Synopsis

Article Abstract

Unlabelled: In melanoma, the presence or absence of metastasis in the first lymph node (sentinel node, SN) has a predictive value for the entire lymph node basin. This study explores the efficacy of lymphoscintigraphy with 99mTc-nanocolloid and a gamma-ray detection probe in tracing SNs.

Methods: Sixty patients with clinically localized melanoma were studied. Lymphoscintigraphy was performed after intradermal injection of 60 MBq 99mTc-nanocolloid at the primary tumor site. Scintigraphy included early dynamic images and a body scan 2 hr postinjection. The following day, a gamma detection probe (Neoprobe 1000) was used intraoperatively to trace the still radioactive SNs. The number of counts of the nodes and the surrounding tissues was measured before, during and after excision. Excised nodes and normal tissue samples were measured in a gamma well counter. The uptake of 99mTc-nanocolloid was calculated.

Results: Lymphoscintigraphy showed 122 SNs distributed over 73 drainage basins. Use of the probe led to retrieval of all nodes that were searched for. The SN-to-background ratios were high: a median of 36 in vivo (range: 2-722) and a median of 274 ex vivo (range: 6-2,985). Counts in vivo correlated well with counts ex vivo. The mean percentage of the injected dose per SN was 0.69 (range: 0.0013-6.82), versus 0.23 (range 0.0004-2.59) in 23 measured second-echelon nodes (non-SNs). Mean percentage of uptake per gram tissue in SNs was 2.1 (range: 0.003-17.4), in skin 0.01 (range: 0.00-0.22) and in subcutaneous fat 0.0035 (range: 0.00-0.081).

Conclusion: Average uptake of 99mTc-nanocolloid in SNs is substantially higher than uptake in non-SNs, skin and subcutaneous fat. The resulting high SN-to-background ratios facilitate the intraoperative detection of these nodes using a gamma detection probe.

Download full-text PDF

Source

Publication Analysis

Top Keywords

detection probe
12
sentinel node
8
lymph node
8
gamma detection
8
uptake 99mtc-nanocolloid
8
sn-to-background ratios
8
vivo range
8
counts vivo
8
subcutaneous fat
8
range
7

Similar Publications

1,4-Dihydroxyanthraquinone (1,4-DHAQ, a fluorophore) doped carbon nanotubes@cellulose (1,4-DHAQ-doped CNTs@CL) nanofibrous membranes have been prepared electrospinning and subsequent deacetylation in this work. They have been successfully applied for highly sensitive detection of Cu in aqueous solution. The surface area per unit mass (S/M) ratio of the nanofibrous membranes was enhanced by incorporating the CNTs into cellulose.

View Article and Find Full Text PDF

A SPR aptamer sensor for mercury based on AuNPs@NaYF:Yb,Tm,Gd upconversion luminescent nanoparticles.

Anal Methods

November 2017

Anhui Key Laboratory of Chemo-Biosensing, Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241000, PR China.

A new aptamer-based surface plasmon resonance (SPR) system has been designed to detect Hg that utilizes near-infrared (NIR)-to-NIR gold nanoparticle coated NaYF:Yb,Tm,Gd up-conversion nanoparticles (AuNPs@NaYF:Yb,Tm,Gd UCNPs) as probes. The AuNPs@NaYF:Yb,Tm,Gd UCNPs were prepared and excited by near-infrared light (980 nm) which emitted at a near-infrared wavelength (808 nm) using an inexpensive infrared continuous wave laser diode. The AuNPs@NaYF:Yb,Tm,Gd UCNPs were conjugated with Hg aptamers.

View Article and Find Full Text PDF

Background: Early and accurate diagnosis of drug resistance, including resistance to second-line anti-tuberculosis (TB) drugs, is crucial for the effective control and management of pre-extensively drug-resistant TB (pre-XDR-TB) and extensively drug-resistant TB (XDR-TB). The Xpert MTB/XDR assay is the WHO recommended method for detecting resistance to isoniazid and second-line anti-TB drugs when rifampicin resistance is detected. Currently, the Xpert MTB/XDR assay is not yet implemented in Ethiopia, thus the MTBDRsl assay continues to be used.

View Article and Find Full Text PDF

Biological age estimation from DNA methylation and determination of relevant biomarkers is an active research problem which has predominantly been tackled with black-box penalized regression. Machine learning is used to select a small subset of features from hundreds of thousands of CpG probes and to increase generalizability typically lacking with ordinary least-squares regression. Here, we show that such feature selection lacks biological interpretability and relevance in the clocks of the first and next generations and clarify the logic by which these clocks systematically exclude biomarkers of aging and age-related disease.

View Article and Find Full Text PDF

A sensitive fluorescence biosensor was developed for microcystin-LR (MC-LR) detection using H1, H2, and H3 DNA probes as sensing elements. The aptamer in H1 can recognize the target. H2 was labeled with FAM and BHQ.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!