Clinical Study of Double Contrast-Enhanced Ultrasound Combined with Dye Method and Marker Placement to Identify and Locate Sentinel Lymph Nodes in Patients with Breast Cancer

Objective: To explore the value of percutaneous ultrasonography combined with transvenous ultrasonography for accurate localization of sentinel lymph nodes and diagnosis of metastatic lymph nodes in patients with breast cancer. Methods: 18 cases of patients with breast cancer attending the Hainan General Hospital from May 2022 to June 2024 who were proposed to undergo axillary lymph node dissection were selected, and the ultrasonographic agent was injected subcutaneously through the areola on the 1st day before the operation, and the marker localization of the manifestation of the Sentinel lymph nodes and draw the lymphatic vessel alignment for drainage on the body surface, and record the manifestation of SLN by conventional ultrasound and dual ultrasonography. At the time of surgery, intraoperative melphalan localization was used to identify the SLN, the difference between the number of ultrasound and melphalan localization was observed, and resection was performed for pathological examination to determine whether they were metastatic or not. Results: There were 8 metastatic lymph nodes and 18 non-metastatic lymph nodes among 31 SLN. A total of 62 SLN were localized by intraoperative melphalan, of which 31 were consistent with ultrasound localization and 31 were not identified by ultrasound. The diagnostic sensitivity of SLN metastasis diagnosed by transcutaneous ultrasonography was 62.50%, specificity was 91.30%, positive predictive value was 71.43%, negative predictive value 87.50%, accuracy was 83.87%, and the AUC was 0.769;the diagnostic sensitivityof transvenous ultrasonography diagnosed was 75.00%, specificity was 75.00%, and the accuracy was 83.87%, 75.00%, specificity 91.30%, positive predictive value 75.00%, negative predictive value 91.30%, accuracy 87.10%, AUC 0.832;dual ultrasonography diagnostic sensitivity 87.50%, specificity 91.30%, positive predictive value 77.78%, negative predictive value 95.45%, accuracy 90.32%. The AUC was 0.894. Conclusion: Transcutaneous ultrasonography combined with transvenous ultrasonography can accurately localize sentinel lymph nodes and improve the sensitivity and accuracy of the diagnosis of metastatic SLN.

Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer

BACKGROUND Lymph node(LN)staging in rectal cancer(RC)affects treatment decisions and patient prognosis.For radiologists,the traditional preoperative assessment of LN metastasis(LNM)using magnetic resonance imaging(MRI)poses a challenge.AIM To explore the value of a nomogram model that combines Conventional MRI and radiomics features from the LNs of RC in assessing the preoperative metastasis of evaluable LNs.METHODS In this retrospective study,270 LNs(158 nonmetastatic,112 metastatic)were randomly split into training(n=189)and validation sets(n=81).LNs were classified based on pathology-MRI matching.Conventional MRI features[size,shape,margin,T2-weighted imaging(T2WI)appearance,and CE-T1-weighted imaging(T1WI)enhancement]were evaluated.Three radiomics models used 3D features from T1WI and T2WI images.Additionally,a nomogram model combining conventional MRI and radiomics features was developed.The model used univariate analysis and multivariable logistic regression.Evaluation employed the receiver operating characteristic curve,with DeLong test for comparing diagnostic performance.Nomogram performance was assessed using calibration and decision curve analysis.RESULTS The nomogram model outperformed conventional MRI and single radiomics models in evaluating LNM.In the training set,the nomogram model achieved an area under the curve(AUC)of 0.92,which was significantly higher than the AUCs of 0.82(P<0.001)and 0.89(P<0.001)of the conventional MRI and radiomics models,respectively.In the validation set,the nomogram model achieved an AUC of 0.91,significantly surpassing 0.80(P<0.001)and 0.86(P<0.001),respectively.CONCLUSION The nomogram model showed the best performance in predicting metastasis of evaluable LNs.

Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center study

BACKGROUND Gastric cancer is one of the most common malignant tumors in the digestive system,ranking sixth in incidence and fourth in mortality worldwide.Since 42.5%of metastatic lymph nodes in gastric cancer belong to nodule type and peripheral type,the application of imaging diagnosis is restricted.AIM To establish models for predicting the risk of lymph node metastasis in gastric cancer patients using machine learning(ML)algorithms and to evaluate their pre-dictive performance in clinical practice.METHODS Data of a total of 369 patients who underwent radical gastrectomy at the Depart-ment of General Surgery of Affiliated Hospital of Xuzhou Medical University(Xuzhou,China)from March 2016 to November 2019 were collected and retro-spectively analyzed as the training group.In addition,data of 123 patients who underwent radical gastrectomy at the Department of General Surgery of Jining First People’s Hospital(Jining,China)were collected and analyzed as the verifi-cation group.Seven ML models,including decision tree,random forest,support vector machine(SVM),gradient boosting machine,naive Bayes,neural network,and logistic regression,were developed to evaluate the occurrence of lymph node metastasis in patients with gastric cancer.The ML models were established fo-llowing ten cross-validation iterations using the training dataset,and subsequently,each model was assessed using the test dataset.The models’performance was evaluated by comparing the area under the receiver operating characteristic curve of each model.RESULTS Among the seven ML models,except for SVM,the other ones exhibited higher accuracy and reliability,and the influences of various risk factors on the models are intuitive.CONCLUSION The ML models developed exhibit strong predictive capabilities for lymph node metastasis in gastric cancer,which can aid in personalized clinical diagnosis and treatment.

ScRNA-seq reveals the correlation between M2 phenotype of tumorassociated macrophages and lymph node metastasis of breast cancer

The process of lymphatic metastasis was proved to be associated with podoplanin-expressing macrophages in breast cancer(BC).This study aimed to investigate the role of the M2 phenotype of tumor-associated macrophages and mine the key M2 macrophages-related genes for lymph node metastasis in BC.We downloaded the GSE158399 dataset from the Gene Expression Omnibus(GEO)database,which includes transcriptomic profiles of individual cells from primary tumors,negative lymph nodes(NLNs),and positive lymph nodes(PLNs)of breast cancer patients.The cell subsets were identified by clustering analysis after quality control of the scRNA-seq using Seurat.The activation and migration capability of M2 macrophages were evaluated with R package“GSVA”.The key M2 macrophages-related genes were screened from the differential expressed genes(DEGs)and M2 macrophages activation and migration gene sets collected from MSigDB database.Our analysis identified three main cell types in primary tumors,NLNs,and PLNs:basal cells,luminal cells,and immune cell subsets.The further cell type classification of immune cell subsets indicated M2 macrophages accumulation in NLs and PLs.The GSVA enrichment scores for activation and migration capability were increased significantly in M2 macrophages from primary tumors than NLNs and PLNs(pvalue<0.001).Seven M2 macrophages activation-related and 15 M2 macrophages migration-related genes were significantly up-regulated in primary tumors than NLNs and PLNs.The proportion and GSVA enrichment scores for activation and migration of M2 macrophages may be potential markers for lymph node metastasis in breast cancer.Our study demonstrated that twenty-two up-regulated mRNA may be possible therapeutic targets for lymph node metastasis in breast cancer.

Tumor deposits in axillary adipose tissue in patients with breast cancer:Do they matter?

Tumor deposits(TDs)are defined as discrete,irregular clusters of tumor cells lying in the soft tissue adjacent to but separate from the primary tumor,and are usually found in the lymphatic drainage area of the primary tumor.By definition,no residual lymph node structure should be identified in these tumor masses.At present,TDs are mainly reported in colorectal cancer,with a few reports in gastric cancer.There are very few reports on breast cancer(BC).For TDs,current dominant theories suggest that these are the result of lymph node metastasis of the tumor with complete destruction of the lymph nodes by the tumor tissue.Even some pathologists classify a TD as two lymph node metastases for calculation.Some pathologists also believe that TDs belong to the category of disseminated metastasis.Therefore,regardless of the origin,TDs are an indicator of poor prognosis.Moreover,for BC,sentinel lymph node biopsy is generally used at present.Whether radical axillary lymph node dissection should be adopted for BC with TDs in axillary lymph nodes is still inconclusive.The present commentary of this clinical issue has certain guiding significance.It is aimed to increase the awareness of the scientific community towards this under-recognized problem in BC pathology.

Nomogram based on multimodal magnetic resonance combined with B7-H3mRNA for preoperative lymph node prediction in esophagus cancer

Accurate preoperative prediction of lymph node metastasis(LNM)in esophageal cancer(EC)patients is of crucial clinical significance for treatment planning and prognosis.AIM To develop a clinical radiomics nomogram that can predict the preoperative lymph node(LN)status in EC patients.METHODS A total of 32 EC patients confirmed by clinical pathology(who underwent surgical treatment)were included.Real-time fluorescent quantitative reverse transcription-polymerase chain reaction was used to detect the expression of B7-H3 mRNA in EC tissue obtained during preoperative gastroscopy,and its correlation with LNM was analyzed.Radiomics features were extracted from multi-modal magnetic resonance imaging of EC using Pyradiomics in Python.Feature extraction,data dimensionality reduction,and feature selection were performed using XGBoost model and leave-one-out cross-validation.Multivariable logistic regression analysis was used to establish the prediction model,which included radiomics features,LN status from computed tomography(CT)reports,and B7-H3 mRNA expression,represented by a radiomics nomogram.Receiver operating characteristic area under the curve(AUC)and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical application value of the model.RESULTS The relative expression of B7-H3 mRNA in EC patients with LNM was higher than in those without metastasis,and the difference was statistically significant(P<0.05).The AUC value in the receiver operating characteristic(ROC)curve was 0.718(95%CI:0.528-0.907),with a sensitivity of 0.733 and specificity of 0.706,indicating good diagnostic performance.The individualized clinical prediction nomogram included radiomics features,LN status from CT reports,and B7-H3 mRNA expression.The ROC curve demonstrated good diagnostic value,with an AUC value of 0.765(95%CI:0.598-0.931),sensitivity of 0.800,and specificity of 0.706.DCA indicated the practical value of the radiomics nomogram in clinical practice.CONCLUSION This study developed a radiomics nomogram that includes radiomics features,LN status from CT reports,and B7-H3 mRNA expression,enabling convenient preoperative individualized prediction of LNM in EC patients.

Early Results of Omitting Completion Axillary Lymph Node Dissection in Sentinel Lymph Node Metastasis-Positive Breast Cancer Patients

Background: We investigated the early results of omitting completion axillary lymph node dissection (ALND) for axillary node metastasis-negative (N0), sentinel node (SN) metastasis-positive breast cancer patients. Patients and Methods: 489 patients had invasive N0 breast cancer treated without completion ALND, regardless of their SN metastasis status. Analyses included the associations between the SN metastasis status, clinicopathological findings and recurrence, between recurrence and clinicopathological findings, and recurrence-free survival. Results: 430 patients were SN biopsy (SNB)-negative, and 59 were SNB-positive. The SNB-positive patients received significantly more potent adjuvant therapy than the SNB-negative patients. Median follow-up was 3.7 years, and the axillary node recurrence was seen in 6 patients (1.2%) and recurrence in 21 patients. The SN status showed no associations with the clinicopathological findings or recurrence. Univariate analysis showed recurrence was associated with absence of hormonal therapy, ER-negative, PgR-negative, HER2-positive or triple-negative (TNBC) disease, a tumor ≥2.1 cm and higher nuclear grade. Multivariate analysis showed recurrence was associated with absence of hormonal therapy and a tumor ≥2.1 cm. Cox proportional hazards model showed recurrence was extremely early in ER-negative and TNBC patients. Conclusion: Completion ALND can be skipped in N0 breast cancer patients even if they are SNB-positive, but adjuvant therapy is essential.

Nomogram established using risk factors of early gastric cancer for predicting the lymph node metastasis

BACKGROUND For the prognosis of patients with early gastric cancer(EGC),lymph node metastasis(LNM)plays a crucial role.A thorough and precise evaluation of the patient for LNM is now required.AIM To determine the factors influencing LNM and to construct a prediction model of LNM for EGC patients.METHODS Clinical information and pathology data of 2217 EGC patients downloaded from the Surveillance,Epidemiology,and End Results database were collected and analyzed.Based on a 7:3 ratio,1550 people were categorized into training sets and 667 people were assigned to testing sets,randomly.Based on the factors influencing LNM determined by the training sets,the nomogram was drawn and verified.RESULTS Based on multivariate analysis,age at diagnosis,histology type,grade,T-stage,and size were risk factors of LNM for EGC.Besides,nomogram was drawn to predict the risk of LNM for EGC patients.Among the categorical variables,the effect of grade(well,moderate,and poor)was the most significant prognosis factor.For training sets and testing sets,respectively,area under the receiver-operating characteristic curve of nomograms were 0.751[95%confidence interval(CI):0.721-0.782]and 0.786(95%CI:0.742-0.830).In addition,the calibration curves showed that the prediction model of LNM had good consistency.CONCLUSION Age at diagnosis,histology type,grade,T-stage,and tumor size were independent variables for LNM in EGC.Based on the above risk factors,prediction model may offer some guiding implications for the choice of subsequent therapeutic approaches for EGC.

No Axillary Lymph Node Dissection in Breast Cancer Patients with Sentinel Lymph Node Micrometastasis

Follow-up data of a series of 75 breast cancer patients with sentinel node (SN) micrometastases only (between 0.2 and 2 mm) and favorable histopathological features of the primary tumor (well-differentiated, T1 tumors without lymphovascular invasion) who refused completion axillary lymph node dissection (ALND) or who were unsuitable for surgery were assessed in order to detect the rate of axillary recurrence after an adjuvant chemoand/or hormonal adjuvant treatment was given. The great majority of patients (81.3%) did not undergo ALND due to the existence of favorable histopathologic factors while the rest were equally distributed among over 75-year-old women (10.6%) and patients at a high surgical risk due to comorbid conditions (9.3%). Sixty-six patients (88%) underwent conservative treatment (lumpectomy followed by adjuvant breast radiotherapy) while the remaining nine patients (12%) had total mastectomy;72 out of 75 patients (96%) received some forms of adjuvant chemoand/or hormone-therapy. After a median follow-up of 38 months (range 12 - 84 months), nine out of 75 patients (12%) had a disease relapse, only one of them (1.3%) being affected by an axillary recurrence in the untreated axilla three years after primary surgery. On these grounds, completion ALND could be safely omitted in patients with SN micrometastasis and favorable histopathological characteristics of the primary neoplasm due to the very low rate of axillary recurrence with no detrimental effect on survival.

Predicting lymph node metastasis in colorectal cancer:An analysis of influencing factors to develop a risk model

BACKGROUND Colorectal cancer(CRC)is a significant global health issue,and lymph node metastasis(LNM)is a crucial prognostic factor.Accurate prediction of LNM is essential for developing individualized treatment strategies for patients with CRC.However,the prediction of LNM is challenging and depends on various factors such as tumor histology,clinicopathological features,and molecular characteristics.The most reliable method to detect LNM is the histopathological examination of surgically resected specimens;however,this method is invasive,time-consuming,and subject to sampling errors and interobserver variability.AIM To analyze influencing factors and develop and validate a risk prediction model for LNM in CRC based on a large patient queue.METHODS This study retrospectively analyzed 300 patients who underwent CRC surgery at two Peking University Shenzhen hospitals between January and December 2021.A deep learning approach was used to extract features potentially associated with LNM from primary tumor histological images while a logistic regression model was employed to predict LNM in CRC using machine-learning-derived features and clinicopathological variables as predictors.RESULTS The prediction model constructed for LNM in CRC was based on a logistic regression framework that incorporated machine learning-extracted features and clinicopathological variables.The model achieved high accuracy(0.86),sensitivity(0.81),specificity(0.87),positive predictive value(0.66),negative predictive value(0.94),area under the curve for the receiver operating characteristic(0.91),and a low Brier score(0.10).The model showed good agreement between the observed and predicted probabilities of LNM across a range of risk thresholds,indicating good calibration and clinical utility.CONCLUSION The present study successfully developed and validated a potent and effective risk-prediction model for LNM in patients with CRC.This model utilizes machine-learning-derived features extracted from primary tumor histology and clinicopathological variables,demonstrating superior performance and clinical applicability compared to existing models.The study provides new insights into the potential of deep learning to extract valuable information from tumor histology,in turn,improving the prediction of LNM in CRC and facilitate risk stratification and decision-making in clinical practice.

Prediction of lymph node metastasis in early esophageal cancer

BACKGROUND Given the poor prognosis of patients with lymph node metastasis,estimating the lymph node status in patients with early esophageal cancer is crucial.Indicators that could be used to predict lymph node metastasis in early esophageal cancer have been reported in many recent studies,but no recent studies have included a review of this subject.AIM To review indicators predicting lymph node metastasis in early esophageal squamous cell carcinoma(ESCC)and early esophageal adenocarcinoma(EAC).METHODS We searched PubMed with“[early esophageal cancer(Title/Abstract)]and[lymph node(Title/Abstract)]”or“[early esophageal carcinoma(Title/Abstract)]and[lymph node(Title/Abstract)]”or“[superficial esophageal cancer(Title/Abstract)]and[lymph node(Title/Abstract)].”A total of 29 studies were eligible for analysis.RESULTS Preoperative imaging(size),serum markers(microRNA-218),postoperative pathology and immunohistochemical analysis(depth of invasion,tumor size,differentiation grade,lymphovascular invasion,neural invasion,expression of PIM-1<30%)were predictive factors for lymph node metastasis in both early ESCC and EAC.Serum markers(thymidine kinase 1≥3.38 pmol/L;cytokeratin 19 fragment antigen 21-1>3.30 ng/mL;stathmin-1)and postoperative pathology and immunohistochemical analysis(overexpression of cortactin,mixed-lineage leukaemia 2,and stanniocalcin-1)were predictive for lymph node metastasis in early ESCC.Transcription of CD69,myeloid differentiation protein 88 and toll-like receptor 4 and low expression of olfactomedin 4 were predictive of lymph node metastasis in early EAC.A total of 6 comprehensive models for early ESCC,including logistic regression model,nomogram,and artificial neural network(ANN),were reviewed.The areas under the receiver operating characteristic curve of these models reached 0.789-0.938,and the ANN performed best.As all these models relied on postoperative pathology,further models focusing on serum markers,imaging and immunohistochemical indicators are still needed.CONCLUSION Various factors were predictive of lymph node metastasis in early esophageal cancer,and present comprehensive models predicting lymph node metastasis in early ESCC mainly relied on postoperative pathology.Further studies focusing on serum markers,imaging and immunohistochemical indicators are still in need.

The Risk Factors of Lymphedema in Breast Cancer Patients Post Axillary Clearance

Introduction: Breast cancer is the number one malignancy affecting females in Saudi Arabia with a prevalence of 22.4%. Breast cancer incidence increases annually due to the aid of established screening programs, leading to the discovery of breast cancer in its early stages. Surgical treatment is an integral part of early breast cancer management to achieve local control. Axillary surgical interventions such sentinel lymph node biopsy (SLNB) and axillary lymph node clearance (ALND) aim to stage the axilla as an adjunct to the management of the primary breast tumor. In this paper, we reviewed female breast cancer patients aged 30 - 60 who underwent surgical treatment of SLNB and/or ALND with reporting the prevalence of lymphedema and other associated complications and risk factors. Methodology: A cross-sectional non-interventional study, with a sample size of 250 including breast cancer cases from 2016 to 2019 at National Guard Hospital (NGH) in Jeddah, Saudi Arabia. Results: A total of 253 breast cancer cases were included in this study, with a mean age of 53 years, 52.7% were postmenopausal and positive family history was present among 21% of cases. Further, 90.9% of the cases had unilateral disease. Staging was as follows: stage I 14.5%, stage II 45.2%, stage III 37.1%, and stage IV 3.2%. Mastectomy was done in 73.4% cases and lumpectomy was performed in 34.1% of cases. In addition, 93.3% of patients had SLNB and 49% of them were positive. Axillary dissection was performed in 69.6% of our patients. Radiotherapy and chemotherapy were given to 71.8% and 80.4% of cases respectively. Among the chemotherapy (chemo) recipients, 40.2% received adjuvant chemo, 54.5% received neoadjuvant chemo, and the remaining 5.3% received both. Further, the most prevalent complication was pain accounting for 42.1% of total complications, and the least prevalent was cellulitis 4%. Also, seroma developed in 18.3% cases, paresthesia noted in 5.6% of cases, winged scapula was reported as 2%, weakness and necrosis were seen in 6% and 13.1% of cases respectively. Axillary vein thrombosis and lymphangiosarcoma were reported in none of the patients (0%). Lymphoedema accounted for 16.1% of overall complications, 85% of the patients who developed lymphedema had undergone ALND, and 12.9% and 14.4% received radiotherapy and chemotherapy respectively. Lymphedema was observed in breast cancer stages as follows: stage I 1.2%, stage II 7.2%, and stage III 5.2%. Patients with body mass index (BMI) of 30 - 39 kg/m2 had 7.2% prevalence of lymphedema compared to other BMI groups. Overall mortality was 8.3%. Conclusion: The findings of our study suggest that the prevalence of lymphedema was higher in ALND patients with locally advanced tumors, and higher BMI, compared to patients with stage I breast cancer and low BMI. Further, the prevalence of lymphedema in patients who underwent ALND was significantly lower than those who were treated by lumpectomy 10.3% (p-value = 0.034) in comparison to mastectomy 19.3%.

Establishment of Risk Prediction Model and Nomogram for Lymph Node Metastasis of Cervical Cancer: Based on SEER Database

Objective: To predict the risk factors of lymph node metastasis in cervical cancer by using large sample clinical data, and to construct and verify the nomogram for predicting lymph node metastasis. Methods: A total of 5940 patients with cervical cancer from 2004 to 2015 in the National Cancer Institute Surveillance Epidemiology and End Results database were retrospectively screened and randomly assigned to training group (n = 4172) and validation group (n = 1768). Multivariate Logistic regression analysis was used, and the optimal model was selected according to AIC or BIC and likelihood ratio test, and a nomogram was drawn. The accuracy and robustness of the prediction model were evaluated in three aspects: discrimination, calibration and clinical net benefit. Results: The prediction model based on race, tumor tissue differentiation degree, tumor histopathological type, distant metastasis of tumor, tumor diameter and other risk factors was successfully established and a nomogram was constructed. The AUCs of training group and validation group were: 0.736 and 0.714, respectively. And the p-values of the Hosmer-Lemeshow test were 0.28 and 0.11, respectively. The calibration curve was in good agreement with the ideal curve. It had high accuracy and applicability after internal verification. Conclusion: A prediction model is constructed based on the risk factors of lymph node metastasis of cervical cancer. The nomogram has a good effective prediction and can provide a theoretical basis for clinicians to assess the disease quickly before surgery.

Interest of SPECT/CT in Detection of Sentinel Lymph Node in Breast Cancer

Aim: Assess the role of hybrid modality SPECT/CT versus planar scintigraphy in sentinel lymph node (SLN) identification in patients with breast cancer. Methods: Planar scintigraphy and hybrid modality SPECT/CT were performed in 23 women with breast cancer (mean age 59.5 years with range 25 - 82 years) with invasive breast cancer (T0, T1 and T2), without clinical evidence of axillary lymph node metastases (N0) and no remote metastases (M0), radiocolloid was injected in four subareolar sites. Planar and SPECT/CT images were separately interpreted. Results: SLNs were detected on lymphoscintigraphy in all patients (100%), taking into consideration both techniques (planar and SPECT-CT images). Planar images identified 45 SLNs in 23 women, with a mean of 1.95 per patient, whereas 56 SLNs were detected on SPECT/CT, increasing this mean to 2.43 per patient. Drainage to internal mammary lymph nodes was seen in 4 patients (17.39%). However, two foci of uptake were identified on planar image as hot SLN in two patients (8.69%);while they have been found as a false positive non-nodal site of uptake on SPECT/CT. Conclusion: SPECT/CT is more focused than planar scintigraphy in the detection of SLN in patients with breast cancer. It detects some lymph nodes not visible on planar images, excludes false positive uptake and exactly locates axillary and non-axillary SLNs.

Assessing the Clinical Efficacy and Effectiveness of Sentinel Lymph Node Biopsy Combined with Breast-Conserving Surgery for Early-Stage Breast Cancer

Objective:To analyze the impact of sentinel lymph node biopsy(SLNB)combined with breast-conserving surgery in the clinical treatment of early-stage breast cancer.Methods:80 patients with early-stage breast cancer admitted to the Second Department of Breast Surgery at Dezhou Second People’s Hospital from September 2020 to September 2022 were selected and randomly divided into a control group and an observation group using the random number table method,with 40 cases in each group.The control group underwent a modified radical mastectomy,while the observation group underwent SLNB combined with breast-conserving surgery.The surgical efficacy and prognosis between the two groups were compared.Results:The observation group exhibited shorter operation,hospitalization,and extubation times,as well as less intraoperative blood loss and drainage volume,all of which were significantly better than those in the control group(P<0.05).Additionally,the observation group demonstrated a higher rate of excellent breast cosmetology and quality of life,with lower complication incidence,significantly outperforming the control group(P<0.05).There was no statistical difference in the metastasis rate and recurrence rate between the two groups(P>0.05).Conclusion:The combination of SLNB and breast-conserving surgery proves highly effective for patients with early-stage breast cancer,presenting fewer complications and enhancing both breast cosmetic outcomes and quality of life.

Analysis of factors related to non-sentinel lymph node metastasis in 296 sentinel lymph node-positive Chinese breast cancer patients

Objective: Axillary lymph node dissection(ALND) may be unnecessary in 20%–60% of breast cancer patients with sentinel lymph node(NSLN) metastasis. The aim of the present study was to review the medical records of Chinese patients with early-stage breast cancer and positive NSLN metastasis to identify clinicopathological characteristics as risk factors for non-NSLN metastasis.Methods: The medical records of 2008 early-stage breast cancer patients who received intraoperative sentinel lymph node biopsy(SLNB) between 2006 and 2016 were retrospectively reviewed. These patients were clinically and radiologically lymph nodenegative and had no prior history of receiving neoadjuvant chemotherapy or endocrinotherapy. The clinicopathological characteristics of patients with positive NSLN metastasis who underwent ALND were investigated.Results: In the present study, 296 patients with positive NSLN metastases underwent ALND. Positive non-NSLN metastases were confirmed in 95 patients(32.1%). On univariate analysis, ≥ 3 positive NSLN metastases(P <0.01), NSLN macrometastases(P =0.023), and lymphovascular invasion(P = 0.04) were associated with non-NSLN metastasis(P <0.05). In multivariate analysis, the number of positive SLNs was the most significant predictor of non-SLN metastasis. For patients with 0, 1, 2, or 3 associated risk factors, the non-SLN metastatic rates were 11.5%, 22.5%, 35.2%, and 73.1%, respectively.Conclusions: The number of positive NSLNs, NSLN macrometastases, and lymphovascular invasion were correlated with nonSLN metastasis. The number of positive SLNs was an independent predictor for non-NSLN metastasis. When 2 or 3 risk factors were present in one patient, the probability of non-NSLN was higher than that in the American College of Surgeons Oncology Group Z0011 trial(27.3%); thus, avoiding ALND should be considered carefully.

Axillary lymph node management in breast cancer with positive sentinel lymph node biopsy

The surgical treatment of localized breast cancer has become progressively less aggressive over the years.The management of the axillary lymph nodes has been modified by the introduction of sentinel lymph node biopsy. Axillary dissection can be avoided in patients with sentinel lymph node negative biopsies. Based on randomized trials data, it has been proposed that no lymph node dissection should be carried out even in certain patients with sentinel lymph node positive biopsies. This commentary discusses the basis of such recommendations and cautions against a general omission of lymph node dissection in breast cancer patients with positive sentinel lymph node biopsies. Instead, an individualized approach based on axillary tumor burden and biology of the cancer should be considered.

Sentinel lymph node metastasis after neoadjuvant treatment in breast cancer:Any size matters?

One of the advantages of neoadjuvant chemotherapy(NAC) treatments is its ability to convert patients who need a mastectomy in breast conservative surgery. NAC has also increased the conversion of node positive patients into node negative in around 40% allowing the use of sentinel node biopsy(SLN) in this setting. Timing of SLN biopsy after NAC has been a subject of debate. In patients with clinically node negative before NAC,rates of success and false negative rates of SLN after NAC are similar to those in the adjuvant setting,so SLN after NAC in previous negative axilla has been incorporated in the staging of the axilla. More controversial is its use in patients with positive axillary nodes before NAC who convert to node negative after NAC. Several randomized studies have reported the identification rates and the false negative rates of the SLN after NAC,concordant in the importance of surgical technique. As there is an agreement in the abandon of the immunohistochemistry(IHC) for SLN in the adjuvant setting as SLN IHC detected metastasis appear to have no impact on overall survival,in patients with SLN after NAC the inclusion of isolated tumor cell(ITC) as positive nodes lowers the false negative rates of the technique,suggesting the importance of assessing the SLN by IHC after NAC and considering it as residual disease. Longer follow up is needed to determine the prognostic implications of ITC in the SLN after NAC.

Usefulness of Breast MRI for Safe Omission of Axillary Lymph Nodes Dissection in Sentinel Node-Positive Breast Cancer Patients

Background: Preoperative identification of patients with extensive lymph node metastasis (LNM) is important for safe omission of axillary lymph node dissection (ALND) in sentinel node (SN)-positive (SN+) breast cancer patients. Methods: We evaluated retrospectively the collected data of 758 breast cancer patients who underwent axillary surgery between 2008 and 2017, excluding those who received neoadjuvant chemotherapy. Results: Of the 758 patients, 607 were not suspicious to have LNM by axillary ultrasound (AUS-), but 38 suspicious cases were found by breast magnetic resonance imaging (MRI). Of 15 patients undergoing axillary fine needle biopsy (AFNA) due to second-look axillary ultrasound (AUS), 9 underwent ALND because of a positive AFNA (AFNA+). Among 81 (10.9%) patients undergoing ALND due to SN+ findings, 6 (7.4%) had extensive LNM (LNM ≥ 4). If MRI was not performed, among the 90 of 673 patients undergoing ALND who had SN+ findings, 12 (13.3%) had LNM ≥ 4. Conclusions: The proportion of cases with LNM ≥ 4 was reduced from 13.3% to 7.4% among patients undergoing SN biopsies combined with breast MRI. ALND might be omitted safely in SN+ cases according to detailed preoperative evaluations using additional breast MRI to ultrasound.