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.
ObjectiveTo explore the value of fluorescence tracer technique in sentinel lymph node (SLN) orientation of cN0 papillary thyroid cancer. MethodsThe total clinical data of 40 cT1-3N0M0 thyroid cancer patients admitted from January 2015 to January 2016 in our hospital were collected, and the SLN with indocyanine green (ICG) as fluorescent trace agent were observed and detected, and the effect of ICG detecting SLN and the guide role of SLNB on the dissection of the central area of neck lymph nodes by intraoperative frozen biopsy pathology and postoperative paraffin pathology were analyzed. ResultsA total of 40 thyroid cancer patients were treated by SLNB and then conducted by the dissection of the central area of neck lymph nodes, and 37 cases detected SLN, so the detection rate was 92.5% (37/40). And a total of 98 SLNs were detected, 1-5 for each case, average of 2.65/case. Intraoperative frozen pathological detected 28 cases of patients with metastases in SLN, and 9 patients without metastasis, including 1 case with postoperative pathology detecting micrometastasis in SLN and other 8 cases without metastasis in the central area of neck lymph nodes. Three cases who were not detected the SLN showed no metastases in final postoperative paraffin pathology. The SLNB of ICG fluorescent tracer was with a sensitivity of 96.6% (28/29), false-negative rate of 3.45% (1/29). ConclusionThe fluorescent tracer technique can guide the dissection of the central of neck lymph node of cN0 thyroid cancer patients accurately with a high detection rate and advantages of high sensitivity in detecting the SLN of thyroid cancer.
ObjectiveTo explore the risk factors affecting sentinel lymph node (SLN) metastasis in patients with early-stage (N0) breast cancer and establish a predictive model for SLN metastasis, so as to assist in decision-making of axillary surgery in clinical practice. MethodsThe unilateral early-stage breast cancer patients who underwent surgical treatment and SLN biopsy at the Affiliated Hospital of Southwest Medical University from September 2020 to December 2023 were selected as the study subjects. The univariate and multivariable logistic regression analyses were adopted to analyze the relevant risk factors of SLN metastasis, then a predictive model evaluating the risk of SLN metastasis was constructed. The area under receiver operating characteristic curve (AUC) was used to assess the distinguishing ability of risk factors for SLN metastasis. ResultsA total of 351 patients with early-stage breast cancer patients who met the inclusion criteria were enrolled, 136 of whom with SLN metastasis, the SLN metastasis rate was 38.7%. The results of the multivariate logistic regression analysis showed that the maximum tumor diameter >2.5 cm, estrogen receptor (ER) positive, Ki-67 >20%, and vascular invasion were the risk factors affecting SLN metastasis [maximum tumor diameter: OR(95%CI)=1.897(1.186, 3.034), P=0.008; ER positive: OR(95%CI)=2.721(1.491, 4.967), P=0.001; Ki-67 >20%: OR(95%CI)=1.825(1.125, 2.960), P=0.015; vascular invasion: OR(95%CI)=2.858(1.641, 4.976), P<0.001]. The AUC for the SLN metastasis by these four factors was 0.693(0.637, 0.749), with a sensitivity and specificity of 70.59% and 57.21%, respectively. ConclusionsThe results from this study suggest that SLN biopsy is recommended to guide postoperative adjuvant treatment strategies for cN0 early-stage breast cancer patients with a maximum tumor diameter >2.5 cm, ER positivity, Ki-67>20%, and vascular invasion. However, the predictive model constructed based on these four factors in this study has a general ability to distinguish the occurrence of SLN metastasis, then the reasons can be further analyzed in the future.
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.