Prospective study found that peripheral lymph node sampling reduced the false-negative rate of sentinel lymph node biopsy for breast cancer

Background:Although sentinel lymph node biopsy(SLNB) can accurately predict the status of axillary lymph node(ALN) metastasis,the high false?negative rate(FNR) of SLNB is still the main obstacle for the treatment of patients who receive SLNB instead of ALN dissection(ALND).The purpose of this study was to evaluate the clinical significance of SLNB combined with peripheral lymph node(PLN) sampling for reducing the FNR for breast cancer and to discuss the effect of "skip metastasis" on the FNR of SLNB.Methods:At Shandong Cancer Hospital Affiliated to Shandong University between March 1,2012 and June 30,2015,the sentinel lymph nodes(SLNs) of 596 patients with breast cancer were examined using radiocolloids with blue dye tracer.First,the SLNs were removed;then,the area surrounding the original SLNs was selected,and the visible lymph nodes in a field of 3–5 cm in diameter around the center(i.e.,PLNs) were removed,avoiding damage to the structure of the breast.Finally,ALND was performed.The SLNs,PLNs,and remaining ALNs underwent pathologic examination,and the relationship between them was analyzed.Results:The identification rate of SLNs in the 596 patients was 95.1%(567/596);the metastasis rate of ALNs was 33.7%(191/567);the FNR of pure SLNB was 9.9%(19/191);and after the SLNs and PLNs were eliminated,the FNR was 4.2%(8/191),which was significantly decreased compared with the FNR before removal of PLNs(P Aected number(N) of SLNs,the patients were divided into four groups of N = 0.028).ccording to the det= 1,2,3,and ≥4;the FNR in these groups was 19.6,9.8,7.3,and 2.3%,respectively.For the patients with removal of PLNs was significantly decreased compared with that before remo≤2 or val of P≤3 detected SLNs,the FNR afterLNs(N 3:12.2% vs.4.7%,P ≤ 2:14.0% vs.4.7%,P = 0.019;N ≤ nt(P = 0.021),whereas for patients with ≥4 detected SLNs,the decrease in FNR was not statistically significa= 1.000).In the entire cohorts,the "skip metastasis" rate was 2.5%(15/596);the FNR caused by "skip metastasis" was 2.1%(4/191).Conclusions:The FNR of SLNB was associated with the number of SLNs.For patients with mpling can reduce the FNR of SLNB to an acceptable level of less than 5%.Because of the≤3 detected SLNs,PLN sa existence of the "skip metastasis" and distinct metastasis patterns,the FNR of SLNB cannot be completely eliminated.

A mini-review on factors and countermeasures associated with false-negative sentinel lymph node biopsies in breast cancer

Sentinel lymph node biopsy （SLNB） is a new surgical technique for local axillary lymph nodes （ALNs） of breast cancer. Large-scale clinical trials have confirmed that undergoing SLNB and ALN dissection （ALND） showed no significant difference for sentinel lymph node （SLN）-negative patients in terms of disease-free survival, overall survival and recurrence-free survival. However, false-negative results are still the main concern of physicians as well as patients who undergo SLNB instead of ALND. The American Society of Breast Surgeons established a task force to suggest acceptable standards for SLNB. In 2000, the task force recommended that the identification rate for SLNB be 85% or higher and the false-negative rate be 5% or lower. This review focuses on clinical factors （tumor volume, multifocal/multi-center cancers, neoadjuvant chemotherapy and skip metastasis）, tracer techniques and pathological factors affecting SLNB and explores methods for reducing the false-negative rate.

Diagnostic utility of small-caliber and conventional endoscopes for gastric cancer and analysis of endoscopic false-negative gastric cancers

AIM: To analyze the diagnostic utility of a small-caliber endoscope(SC-E) and clinicopathological features of false-negative gastric cancers(FN-GCs). METHODS: A total of 21638 esophagogastroduodenoscopy(EGD) gastric cancer(GC) screening examinations were analyzed. Secondary endoscopic examinations(n = 3352) were excluded because most secondary examinations tended to be included in the conventional endoscopy(C-E) group. Detection rates of GCs and FN-GCs were compared between SC-E and C-E groups. FN-GC was defined as GC performed with EGD within the past 3 years without GC detection. Macroscopic types, histopathological characteristics and locations of FN-GCs were compared with firstly foundgastric cancers(FF-GCs) in detail. RESULTS: SC-E cases(n = 6657) and C-E cases(n = 11644), a total of 18301 cases, were analyzed. GCs were detected in 16(0.24%) SC-E cases and 40 C-E(0.34%) cases(P = 0.23) and there were 4 FN-GCs(0.06%) in SC-E and 13(0.11%) in C-E(P = 0.27), with no significant difference. FN-GCs/GCs ratio between SC-E and C-E groups was not significantly different(P = 0.75). The comparison of endoscopic macroscopic types of FN-GCs tended to be a less advanced type(P = 0.02). Histopathologically, 70.6% of FN-GCs were differentiated and 29.4% undifferentiated type. On the other hand, 43.0% of FF-GCs were differentiated and 53.8% undifferentiated type, so FN-GCs tended to be more differentiated type(P = 0.048). CONCLUSION: The diagnostic utility of SC-E for the detection of GCs and FN-GCs was not inferior to that of C-E. Careful observation for superficially depressed type lesions in the upper lesser curvature region is needed to decrease FN-GCs.

Secondary analysis of malaria rapid diagnostic tests from rounds 5–8 of WHO product testing with a focus on false-negative results

Despite the widespread use of malaria rapid diagnostic test(RDT)in clinical practice,there are a lot of challenges.We conducted a secondary analysis of 129 malaria RDT data from rounds 5–8 of the World Health Organization(WHO)product testing summary and discuss the causes of false-negative(FN)results with a focus on low parasite density,improper RDT storage,operation and interpretation,and Plasmodium falciparum with a pfhrp2/3 gene deletion.The results demonstrated that the malaria RDTs currently commercially available might cause FN results in practice.

Detachment-Independent Cationic-Dipeptide Beacons:Reduced False-Negative Signal and Accelerated Fluorescent Lighting in Cell Imaging

Nanocarriers have been developed to deliver DNA probes into cells for imaging analysis and improving their nuclease resist-ance.However,we found obvious lowered sensitivity and even false-negative results in the traditional DNA detachment-dependent fluorescent lighting mechanism.Here,we developed a detachment-independent fluorescent lighting mechanism integrated with cationic dipeptide nanoparticles(CDNs).CDNs displayed little quenching effect on fluorophores labeled on probes and improved the nuclease resistance of probes.In contrast to the traditional beacon,the fluorescence lighting was significantly accelerated without the need of desorption of the recognition products from the nanosurface,avoiding false-negative results from non-specific conformational adsorption.This work will open up new thoughts to improve the sensing performance of DNA probes in cell imaging,such as speed and sensitivity.

Hybrid Semantic Service Matchmaking Method Based on a Random Forest

Semantic Service Matchmaking(SSM)can be leveraged for mining the most suitable service to accommodate a diversity of user demands.However,existing research on SSM mostly involves logical or non-logical matching,leading to unavoidable false-positive and false-negative problems.Combining different types of SSM methods is an effective way to improve this situation,but the adaptive combination of different service matching methods is still a difficult issue.To conquer this difficulty,a hybrid SSM method,which is based on a random forest and combines the advantages of existing SSM methods,is proposed in this paper.The result of each SSM method is treated as a multi-dimensional feature vector input for the random forest,converting the service matching into a two classification problem.Therefore,our method avoids the flaws found in manual threshold setting.Experimental results show that the proposed method achieves an outstanding performance.

Statistical considerations for high throughput screening data

High throughput screening(HTS)is a widely used effective approach in genome-wide association and large scale protein expression studies,drug discovery,and biomedical imaging research.How to accurately identify candidate‘targets’or biologically meaningful features with a high degree of confidence has led to extensive statistical research in an effort to minimize both false-positive and false-negative rates.A large body of literature on this topic with in-depth statistical contents is available.We examine currently available statistical methods on HTS and aim to summarize some selected methods into a concise,easy-tofollow introduction for experimental biologists.