New technologies in breast cancer sentinel lymph node biopsy; from the current gold standard to artificial intelligence

Cykowska, Anna; Marano, Luigi; D’Ignazio, Alessia; Marrelli, Daniele; Świerblewski, Maciej; Jaśkiewicz, Janusz; Roviello, Franco; Połom, Karol

doi:10.1016/j.suronc.2020.06.005

Cited by 31 publications

(31 citation statements)

References 106 publications

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“…31 The At present, the gold standard of SLN identification in breast surgery is isotope tracer and the methylene blue staining method. 32 Compared with the two methods, contrast-enhanced ultrasound has the advantages of less trauma, safety and convenience. It can track the flow direction of contrast agent in real time and display lymphatic vessels and metastatic lesions in lymph nodes.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic efficacy of sentinel lymph node in breast cancer under percutaneous contrast‐enhanced ultrasound: An updated meta‐analysis

et al. 2021

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Background: To investigate the diagnostic efficacy of sentinel lymph nodes (SLN) in breast cancer by percutaneous contrast-enhanced ultrasound (CEUS) through pooled analysis of relevant studies published before June 2021. Methods: We conducted a systematic review and meta-analysis of relevant studies by searching the electronic databases of PubMed, Embase, Cochrane Library, Chinese National Knowledge Infrastructure, Wanfang and VIP and the studies were screened according to their inclusion and exclusion criteria. Sensitivity (SEN), specificity (SPE), positive likelihood ratio (+LR), negative likelihood ratio (ÀLR) and diagnostic odds ratio (DOR) were calculated by Meta-disc 1.4 software and the summary receiver operating characteristic (SROC) curve and area under the curve of ROC (AUC) were constructed.Results: Twenty-two publications evaluating the diagnostic efficacy of SLN in breast cancer under percutaneous CEUS were included in the meta-analysis. The diagnostic sensitivity, specificity were 0.86 (95% CI: 0.83-0.88) and 0.89 (95% CI: 0.87-0.91) for SLN in breast cancer detected by percutaneous CEUS respectively using a random effect model. The +LR and -LR were combined in a random effect model due to significant statistical heterogeneity (p < 0.05). The pooled +LR, ÀLR were 7.06 (95% CI: 4.34-11.50), and 0.17 (95% CI: 0.12-0.24), respectively. The combined DOR was 53.32 (95% CI: 29.74-95.61) for SLN diagnosis in breast cancer by percutaneous CEUS under a random effect model. The AUC was 0.94 which indicated that CEUS had high diagnostic efficacy of SLN in patients with breast cancer. Conclusions: CEUS is a noninvasive method for the detection SLN in patients of breast cancer with relative high prediction efficacy.

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Section: Discussionmentioning

confidence: 99%

Diagnostic efficacy of sentinel lymph node in breast cancer under percutaneous contrast‐enhanced ultrasound: An updated meta‐analysis

et al. 2021

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“…SLNs were identi ed under combined techniques, using patent blue and radioisotope or superparamagnetic iron oxide, as previously described. (35,36) After identi cation by the surgeon, SLNs were removed and directly sent to Pathology Department.…”

Section: Sln Biopsy and Osna Assaymentioning

confidence: 99%

Exploring the lymph node’s microenvironment for personalized management of luminal A breast cancer

Gante

Ribeiro²,

Gomes³

et al. 2022

European Journal of Cancer

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“…Furthermore, although the benefit-risk ratio of computed tomography (CT) is helpful for clinical application [ 5 ], the contrast agent could possibly cause damage to the patients’ renal function [ 6 ]. Lymph node biopsy (LNB) is the gold standard for diagnosing breast cancer LNMs [ 7 ]. Some radiotracers or fluorescence dye is used for detecting LNMs during LNB [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Sensitive and specific detection of breast cancer lymph node metastasis through dual-modality magnetic particle imaging and fluorescence molecular imaging: a preclinical evaluation

Wang

Shi

et al. 2022

Eur J Nucl Med Mol Imaging

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Purpose A sensitive and specific imaging method to detect metastatic cancer cells in lymph nodes to detect the early-stage breast cancer is still a challenge. The purpose of this study was to investigate a novel breast cancer–targeting and tumour microenvironment ATP-responsive superparamagnetic iron oxide nanoparticles (SPIOs) imaging probe (abbreviated as SPIOs@A-T) that was developed to detect lymph node metastasis through fluorescence molecular imaging (FMI) and magnetic particle imaging (MPI). Methods The conjugation of the targeted peptide CREKA and SPIOs was via linker sulfo-SMCC, while the dsDNA-Cy5.5 was modified on SPIOs through the conjugation between maleimide group in sulfo-SMCC and sulfydryl group in dsDNA-Cy5.5. SPIOs@A-T was characterised for its imaging properties, targeting ability and toxicity in vitro. Mice with metastatic lymph node (MLN) of breast cancer were established to evaluate the FMI and MPI imaging strategy in vivo. Healthy mice with normal lymph node (NLN) were used as control group. Histological examination and biosafety evaluation were performed for further assessment. Results After injection with SPIOs@A-T, the obvious high fluorescent intensity and MPI signal were observed in MLN group than those in NLN group. FMI can specifically light up MLN using an ATP-responsive fluorescence design. On the other hand, MPI could complement the limitation of imaging depth from FMI and could detect MLN more sensitively. Besides, the biosafety evaluation results showed SPIOs@A-T had no detectable biological toxicity. Conclusion SPIOs@A-T imaging probe in combination with FMI and MPI can provide a promising novel method for the precise detection of MLN in vivo.

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New technologies in breast cancer sentinel lymph node biopsy; from the current gold standard to artificial intelligence

Cited by 31 publications

References 106 publications

Diagnostic efficacy of sentinel lymph node in breast cancer under percutaneous contrast‐enhanced ultrasound: An updated meta‐analysis

Diagnostic efficacy of sentinel lymph node in breast cancer under percutaneous contrast‐enhanced ultrasound: An updated meta‐analysis

Exploring the lymph node’s microenvironment for personalized management of luminal A breast cancer

Sensitive and specific detection of breast cancer lymph node metastasis through dual-modality magnetic particle imaging and fluorescence molecular imaging: a preclinical evaluation

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