Malignant melanoma is a kind of highly malignant tumor, which mainly occurs in the skin, mucous membrane, and rarely in the breast. Here we reported a case of malignant melanoma in the chest wall skin with mammary metastasis. A sizable pigment spot on the skin of the thoracic region was found at the patient’s birth, existing for 50 years with quite atypical clinical manifestation. A nodule at 12 o’clock of the left breast was found by ultrasound four months ago, who was mistaken for a fibroadenoma. As a result, the patient received a minimally invasive excision of the breast lesion, after which the pathological report suggested malignant melanoma. By sharing this case, we aimed to discuss the diagnosis and treatment of this kind of atypical malignant melanoma in detail and provide some clinical experience.
ObjectiveTo systematically review the diagnostic value of ultrasound for breast cancer with axillary sentinel lymph nodes, so as to provide evidence for clinical decision-making.
MethodsWe searched the databases including PubMed, EMbase, The Cochrane Library (Issue 12, 2013), CBM, CNKI, WanFang Data and VIP for studies about ultrasound in the diagnosis of breast cancer with axillary sentinel lymph nodes till December 31st, 2013. According to the inclusion and exclusion criteria, literature was screened, data were extracted, and methodological quality of the included studies was evaluated. Meta-analysis was then conducted using Meta-Disc 1.4 software.
ResultsA total of 12 studies involving 2 188 cases were included. The pooled results of meta-analysis showed that sensitivity and specificity were 0.75 (95%CI 0.72 to 0.77) and 0.91 (95%CI 0.89 to 0.92), respectively; positive likelihood ratio and negative likelihood ratio were 6.54 (95%CI 4.68 to 8.89) and 0.22 (95%CI 0.15 to 0.33), respectively; diagnostic odds ratio was 33.59 (95%CI 17.87 to 63.12); and the AUC was 0.934 3.
ConclusionUltrasound is has relatively high value in diagnosis of breast cancer with axillary sentinel lymph nodes. However, due to the influence caused by the limited quality and various potential heterogeneity, more high quality RCTs with large sample size are needed to further verify the above conclusion.
Objective
To investigate the value of sentinel lymph node biopsy (SLNB) in predicting the metastasis of central cervical lymph nodes (CCLN) in differentiated thyroid carcinoma, and to explore reasonable program for CCLN dissection.
Methods
This retrospective analysis was performed basing on the clinical data of 407 patients with differentiated thyroid carcinoma who were admitted to the Department of General Surgery of Xuanwu Hospital from June 2013 to December 2016, including 237 patients with microcarcinoma.
Results
① The results of the lymph nodes detection. All patients had detected 7 766 lymph nodes (1 238 metastatic lymph nodes were detected from 219 patients), and 2 085 sentinel lymph nodes were detected (448 metastatic sentinel lymph nodes were detected from 189 patients). In the patients with microcarcinoma, there were 3 614 lymph nodes were detected (390 metastatic lymph nodes were detected from 97 patients), and 1 202 sentinel lymph nodes were detected (149 metastatic sentinel lymph nodes were detected from 82 patients). ② The value of SLNB to predict CCLN metastasis. The sensitivity, specificity, false positive rate, false negative rate, positive predictive value, and negative predictive value of SLNB to predict CCLN metastasis for all patients was 86.30% (189/219), 100% (188/188), 0 (0/189), 13.70% (30/219), 100% (189/189), and 86.24% (188/218) respectively; for patients with microcarcinoma was 84.54% (82/97), 100% (140/140), 0 (0/82), 15.46% (15/97), 100% (82/82), and 90.32% (140/155), respectively. ③ The value of SLNB to predict the presence of additional positive lymph nodes (APLN). The sensitivity, specificity, false positive rate, false negative rate, positive predictive value, and negative predictive value of SLNB to predict the APLN for all patients was 81.48% (132/162), 76.73% (188/245), 23.27% (57/245), 18.52% (30/162), 69.84% (132/189) and 86.24% (188/218), respectively; for patients with microcarcinoma was 73.68% (42/57), 77.78% (140/180), 22.22% (40/180), 26.32% (15/57), 51.22% (42/82) and 90.32% (140/155) respectively. ④ The value of positive sentinel lymph node ratio (PSLNR) to predict the presence of the APLN. The sensitivity, specificity, false positive rate, false negative rate, positive predictive value, and negative predictive value of PSLNR to predict the APLN for all patients was 71.97%, 78.95%, 21.05%, 28.03%, 88.79%, and 54.88% respectively, and the cutoff for PSLNR was 0.345 2. For patients with microcarcinoma, the sensitivity, specificity, false positive rate, false negative rate, positive predictive value, and negative predictive value of PSLNR to predict the APLN was 83.33%, 67.50%, 32.50%, 16.67%, 72.92%, and 79.41% respectively, and the cutoff for PSLNR was 0.291 7.
Conclusion
There is an important predicted value of SLNB for CCLN dissection in the patients suffered from differentiated thyroid carcinoma, and the PSLNR is a reliable basis for CCLN dissection.
ObjectiveTo explore the influence of sentinel lymph node (SLN) status on the prognosis of elderly breast cancer patients ≥70 years old, and to screen patients who may be exempted from sentinel lymph node biopsy (SLNB), so as to guide clinical individualized treatment for such patients. MethodsA retrospective analysis was made on 270 breast cancer patients aged ≥70 years old who underwent SLNB in the Affiliated Hospital of Southwest Medical University from 2012 to 2021. The clinicopathological characteristics of the total cases were compared according to the status of SLN. Kaplan-Meier method was used to draw the survival curve, and the influence of SLN status on the overall survival (OS) time, local recurrence (LR) and distant metastasis (DM) of patients were analyzed, and used log-rank to compare between groups. At the same time, the patients with hormone receptor (HR) positive were analyzed by subgroup. The differences between groups were compared by single factor χ2 test, and multivariate Cox regression model was used to analyze and determine the factors affecting OS, LR and DM of patients. ResultsThe age of 270 patients ranged from 70 to 95 years, with a median age of 74 years. One hundred and sixty-nine (62.6%) patients’ tumor were T2 stage. Invasive ductal carcinoma accounted for 83.0%, histological gradeⅡ accounted for 74.4%, estrogen receptor positive accounted for 78.1%, progesterone receptor positive accounted for 71.9%, and human epidermal growth factor receptor 2 negative accounted for 83.3%. The number of SLNs obtained by SLNB were 1-9, and the median was 3. SLN was negative in 202 cases (74.8%) and positive in 68 cases (25.2%). Thirty-five patients (13.0%) received axillary lymph node dissection. There was no significant difference in LR between the SLN positive group and the SLN negative group (P>0.05), but the SLN negative group had fewer occurrences of DM (P=0.001) and longer OS time (P=0.009) compared to the SLN positive group. The results of univariate and multivariate analysis suggest that the older the patient, the shorter the OS time and the greater the risk of DM. Analysis of HR positive subgroups showed that SLN status did not affect patient survival and prognosis, but age was still associated with poor OS time and DM. ConclusionsFor patients with invasive ductal carcinoma of breast in T1-T2 stage, HR positive, clinical axillary lymph nodes negative, and age ≥70 years old, SLNB may be exempted. According to the patient’s performance or tumor biological characteristics, patients who need systemic adjuvant chemotherapy may still consider SLNB.
ObjectiveTo explore the factors associated with non-sentinel lymph node (NSLN) metastasis in early breast cancer patients with 1-2 positive sentinel lymph nodes (SLN), seeking the basis for exempting some SLN-positive patients from axillary lymph node dissection. MethodsA total of 299 early breast cancer patients who were diagnosed with positive sentinel lymph node (SLN) biopsy and underwent axillary lymph node dissection at the Affiliated Hospital of Southwest Medical University from January 2019 to April 2023 were selected. Univariate analysis was performed on the clinical and pathological data of patients, and multivariate logistic regression analysis was conducted to identify factors related to axillary non-sentinel lymph node (NSLN) metastasis of patients with SLN positive in early breast cancer. GraphPad Prim 9.0 was used to draw receiver operating characteristic (ROC) curve, and the area under curve (AUC) of ROC was calculated to quantify the predictive value of risk factors. ResultsAmong the 299 breast cancer patients with 1-2 SLN positive, 101 cases (33.78%) were NSLN positive and 198 cases (66.22%) were NSLN negative. Univariate analysis showed that the number of positive SLN, clinical T staging and lymphovascular invasion were related to the metastasis of NSLN (P<0.001). Multivariate logistic regression analysis indicated that having 2 positive SLN [OR=3.601, 95%CI (2.005, 6.470), P<0.001], clinical T2 staging [OR=4.681, 95%CI (2.633, 8.323), P<0.001], and presence lymphovascular invasion [OR=3.781, 95%CI (2.124, 6.730), P<0.001] were risk factors affecting axillary NSLN metastasis. The AUCs of the three risk factors were 0.623 3, 0.702 7 and 0.682 5, respectively, and the AUCs all were greater than 0.6, suggesting that the three risk factors had good predictive ability for NSLN metastasis. ConclusionThe number of positive SLN, clinical T staging, and lymphovascular invasion are related factors affecting NSLN metastasis in early breast cancer patients with positive SLN, and these factors have guiding significance for whether to exempt axillary lymph node dissection.
Objective
To evaluate the feasibility of sentinel lymph node (SLN) mapping after 99Tcm sulfur colloid (99Tcm-sc) and carbon nanoparticles injection in patients with colon cancer.
Methods
Forty patients with colon cancer underwent complete mesocolic excision between August 2015 and July 2016 at Qingdao Central Hospital were considered for prospective inclusion. Before resection, SLN mapping was performed with injection of 99Tcm-sc and carbon nanopar-ticles, then all dissected lymph nodes were detected by pathological examination.
Results
A total of 660 cases of lymph nodes were found in the 40 patients (average of 16.5 cases per patient). Of them, 88 nodes (average of 2.2 cases per patient) were identified as SLN in 36 of 40 patients, with a successful detection rate of 90.0% (36/40). The diagnostic accuracy, sensitivity, and false-negative rate were 87.5% (35/40), 96.2% (25/26), and 3.8% (1/26) respectively.
Conclusion
99Tcm-sc and carbon nanoparticles suspension injection for mapping SLN is a feasiblely diagnostic method for predicting local lymph node metastasis in the patient with colon cancer.
ObjectiveTo explore the feasibility and clinical efficacy of laparoscopic sentinel lymph node biopsy combined with endoscopic submucosal dissection(ESD) for patients with early gastric cancer(EGC).
MethodsThe clinical data of 26 cases who received ESD combined with laparoscopic sentinel lymph node biopsy for EGC between March 2009 to August 2013 in Affiliated Hospital of Jiangnan University were analyzed retrospectively. These patients first underwent laparoscopic sentinel lymph node(SLN) biopsy. If frozen sectioning examination suggested there was lymph node metastasis, laparoscopic D2 radical gastrectomy would be operated. However, the ESD would be operated if the frozen sectioning examination was negative.
ResultsThe total numbers of SLN were 95, and mean numbers of SLN were 3.7±1.4(range from 1 to 6). Two patients with positive SLN underwent laparoscopic-assisted distal gastrectomy and 24 patients with negative SLN underwent ESD. The disease free survival(DFS) and local recurrence rate after ESD for EGC was 91.7%(22/24) and 4.2%(1/24), respectively. And the total DFS for all patients was 96.2% (25/26).
ConclusionESD for EGC is a safe and feasible procedure, combined with laparoscopic sentinel lymph node biopsy conforms more to the concept of principle of radical operation.
Objective To analyze the correlation among the clinicopathologic features, ultrasound imaging features, and axillary lymph node metastasis in breast cancer patients with negative clinical evaluation of axillary lymph nodes (cN0), and to establish a logistic regression model to predict axillary lymph node metastasis, so as to provide a reference for more accurate evaluation of axillary lymph node status in cN0 breast cancer patients. Methods The data of 501 female patients with cN0 breast cancer who were hospitalized and operated in the Affiliated Hospital of Wuhan University of Science and Technology (Xiaogan Central Hospital) from December 2013 to October 2020 were collected. Among them, 376 patients from December 2013 to December 2019 were selected to establish a prediction model for axillary lymph node metastasis of cN0 breast cancer. In the modeling group, the basic information, clinical pathological characteristics, and ultrasound imaging features of patients were analyzed by single factor analysis. The factors with statistical significance were included in the multivariate logistic regression analysis, and the logistic regression prediction model was established. The model was evaluated by the correction curve and Hosmer-Lemeshow test goodness of fit. The model was validated in the validation group (125 patients from January to October 2020), and the receiver operation characteristic (ROC) curve was drawn. Results The probability of positive axillary lymph nodes in 501 patients with cN0 breast cancer was 28.14% (141/501). The univariate analysis results of the modeling group showed that the histological grade, vascular invasion, progesterone receptor (PR), Ki-67, age, molecular typing, ultrasound breast imaging-reporting and data system (BI-RADS) grade were associated with axillary lymph node metastasis. Multivariate logistic regression analysis showed that the vascular infiltration, positive estrogen receptor (ER) , ultrasound BI-RADS grade 4C and Ki-67≥14% increased the probability of axillary lymph node metastasis (P<0.05). Using the above prediction factors to establish the prediction nomogram, the area under the ROC curve (AUC) of the modeling group was 0.72 [95%CI (0.66, 0.78)], the cut-off value was 0.30, the sensitivity was 61.00%, and the specificity was 71.20%. The newly established axillary lymph node transfer logistic regression model was applied to the validation group (n=125), and the AUC was 0.72 [95%CI (0.53, 0.76)]. The truncation value was 0.40, and the total coincidence rate was 69.60% (87/125), positive predictive value was 47.37% (18/38), and negative predictive value was 91.95% (80/87). Conclusions Vascular invasion, positive ER , ultrasound BI-RADS grade 4C, and Ki-67≥14% are risk predictors of axillary lymph node metastasis in cN0 breast cancer patients. The negative predictive value of the model is 91.95%, which has a higher value in predicting axillary lymph node metastasis in early breast cancer patients, and can provide a reference for screening exempt sentinel lymph node biopsy population.
ObjectiveTo investigate the value of a predictive model for sentinel lymph node (SLN) metastasis after neoadjuvant therapy (NAT) based on the radiomic features from multi-modality magnetic resonance imaging (MRI) in combination with clinicopathologic data. MethodsThe clinical data and MRI images of breast cancer patients (initially diagnosed with cN0, all underwent NAT and surgical treatment) from two hospitals (Affiliated Hospital of Southwest Medical University and Suining Central Hospital) from January 2018 to September 2024, were retrospectively collected. The radiomic features from the multi-modality images, including T2-weighted short tau inversion recovery (T2STIR), diffusion-weighted imaging (DWI), dynamic contrast-enhanced (DCE), were extracted and selected. The predictive models for SLN metastasis after NAT were constructed using four algorithms: LightGBM, XGBoost, support vector machine (SVM), and logistic regression (LR), in combination with clinicopathologic data. The models were evaluated for performance and interpretability using receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis, and Shapley additive explanation (SHAP) analysis. ResultsA total of 236 breast cancer patients were enrolled in this study. Among them, 216 patients from the Southwest Medical University were subdivided in an 8∶2 ratio into a training set (n=173) and internal validation set (n=43), while 20 patients from the Suining Central Hospital served as the external validation set. The multivariate logistic regression analysis showed that the lymphovascular invasion [OR (95%CI)=21.215 (4.404, 102.202), P ＜0.001] and perineural invasion [OR (95%CI)=25.867 (1.870, 357.790), P=0.002] were the risk factors, while high Ki-67 expression [OR (95%CI)=0.119 (0.035, 0.404), P＜0.001] was the protective factor of SLN metastasis after NAT. The predictive models utilizing multi-modality MRI and clinicopathologic data yielded area under the ROC curve values of the internal and external validation sets of 0.750 [95%CI=(0.395, 1.000)] / 0.625 [95%CI=(0.321, 0.926)] for LightGBM, 0.878 [95%CI=(0.707, 1.000)] / 0.778 [95%CI=(0.525, 0.986)] for XGBoost, 0.641 [95%CI=(0.488, 0.795)] / 0.681 [95%CI=(0.345, 1.000)] for SVM, and 0.667 [95%CI=(0.357, 0.945)] / 0.583 [95%CI=(0.196, 0.969)] for LR. The XGBoost demonstrated the best predictive performance. Further SHAP analysis revealed that the lymphovascular invasion, T2STAR-MRI_FIRSTORDER_Minimum, and platelet were the key features influencing the predictions of the models. ConclusionThe findings of this study suggest that XGBoost prediction model based on radiomic features derived from multi-modality MRI (T2STIR, DWI, and DCE) in combination with clinicopathologic data is able to predict SLN metastasis after NAT in patients with breast cancer.
ObjectiveTo explore influence of molecular classification of breast cancer on surgical treatment of axillary lymph nodes.
MethodThe related literatures which discussed the relation between molecular classification and axillary lymph node metastasis were reviewed and analyzed.
ResultsThe triple negative breast cancer had a lower rate of sentinel lymph node or non-sentinel lymph node metastasis. The axillary lymph node metastasis rate was higher in the luminal B or HER-2 overexpression subtypes. Especially, luminal B subtype had a higher risk of sentinel lymph node or non-sentinel lymph node metastasis as compared with the other subtypes. Elderly patients with breast conserving operation could be free for axillary lymph node dissection when only 1-2 sentinel lymph node metastases. There was still a positive possibility of non-sentinel lymph node for younger patients with a larger tumor size, even if the sentinel lymph node negative, the lymph node dissection may benefit these patients.
ConclusionBreast cancer molecular classification should be considered for the surgery selection of axillary lymph node dissection.
