Electrical lymph node scanning (ELS) system for real-time intra-operative detection of involved axillary lymph nodes in adjuvant breast cancer patients

Lymph node (LN) status is an essential prognostic factor in breast cancer (BC) patients, with an important role in the surgical and therapeutic plan. Recently, we have been developed a novel system for real-time intra-operative electrical LN scanning in BC patients. The ELS scores were calibrated by pathological evaluation of the LNs. Herein, we evaluated the efficacy of ELS in a prospective study for non-chemo-treated breast cancer patients. This is a prospective study in which ELS scores are blind for pathologists who declare the clearance or involvement of LNs based on permanent pathology as the gold standard. ELS and frozen-section (FS) pathology results were achieved intra-operatively, and samples were sent for the permanent pathology. The score of ELS did not affect the surgeons' decision, and the treatment approach was carried out based on FS pathology and pre-surgical data, such as imaging and probable biopsies. Patients were recruited from October 2021 through November 2022, and 381 lymph nodes of 97 patients were included in the study. In this study we recruited 38 patients (39.2%) with sentinel lymph node biopsy (SLNB) and 59 patients (60.8%) with ALND. Of the 381 LNs scored by ELS, 329 sentinel LNs underwent routine pathology, while others (n = 52) underwent both FS and permanent pathology. ELS showed a sensitivity of 91.4% for node-positive patients, decreasing to 84.8% when considering all LNs. Using ROC analysis, ELS diagnosis showed a significant AUC of 0.878 in relation to the permanent pathology gold standard. Comparison of ELS diagnosis for different tumor types and LN sizes demonstrated no significant differences, while increasing LN size correlated with enhanced ELS sensitivity. This study confirmed ELS's efficacy in real-time lymph node detection among non-chemo-treated breast cancer patients. The use of ELS's pathological scoring for intra-operative LN diagnosis, especially in the absence of FS pathology or for non-sentinel LN involvement, could improve prognosis and reduce complications by minimizing unnecessary dissection.

Prediction of axillary lymph node metastasis in early breast cancer patients with ultrasonic videos based deep learning

Objective

To develop a deep learning (DL) model for predicting axillary lymph node (ALN) metastasis using dynamic ultrasound (US) videos in breast cancer patients.

Methods

A total of 271 US videos from 271 early breast cancer patients collected from Xiang'an Hospital of Xiamen University andShantou Central Hospitabetween September 2019 and June 2021 were used as the training, validation, and internal testing set (testing set A). Additionally, an independent dataset of 49 US videos from 49 patients with breast cancer, collected from Shanghai 10th Hospital of Tongji University from July 2021 to May 2022, was used as an external testing set (testing set B). All ALN metastases were confirmed using pathological examination. Three different convolutional neural networks (CNNs) with R2 + 1D, TIN, and ResNet-3D architectures were used to build the models. The performance of the US video DL models was compared with that of US static image DL models and axillary US examination performed by ultra-sonographers. The performances of the DL models and ultra-sonographers were evaluated based on accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). Additionally, gradient class activation mapping (Grad-CAM) technology was also used to enhance the interpretability of the models.

Results

Among the three US video DL models, TIN showed the best performance, achieving an AUC of 0.914 (95% CI: 0.843-0.985) in predicting ALN metastasis in testing set A. The model achieved an accuracy of 85.25% (52/61), with a sensitivity of 76.19% (16/21) and a specificity of 90.00% (36/40). The AUC of the US video DL model was superior to that of the US static image DL model (0.856, 95% CI: 0.753-0.959, P<0.05). The Grad-CAM technology confirmed the heatmap of the model, which highlighted important subregions of the keyframe for ultra-sonographers' review.

Conclusion

A feasible and improved DL model to predict ALN metastasis from breast cancer US video images was developed. The DL model in this study with reliable interpretability would provide an early diagnostic strategy for the appropriate management of axillary in the early breast cancer patients.

Prognostic Role of the Intrahepatic Lymphatic System in Liver Cancer

Although several prognosticators, such as lymph node metastasis (LNM), were reported for hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), the prognostic impact of intrahepatic lymphatic vessel invasion (LVI) in liver cancer has rarely been reported. We sought to clarify the prognostic impact of intrahepatic lymphatic system involvement in liver cancer. We systematically reviewed retrospective studies that described LVI and clinical outcomes of liver cancer and also included studies that investigated tumor-associated lymphangiogenesis. We conducted a meta-analysis using RevMan software (version 5.4.1; Cochrane Collaboration, Oxford, UK). The prognostic impact of intrahepatic LVI in HCC was not reported previously. However, tumor-associated lymphangiogenesis reportedly correlates with prognosis after HCC resection. The prognostic impact of intrahepatic LVI was reported severally for ICC and a meta-analysis showed that overall survival was poorer in patients with positive LVI than with negative LVI after resection of ICC. Lymphangiogenesis was also reported to predict unfavorable prognosis in ICC. Regarding colorectal liver metastases, LVI was identified as a poor prognosticator in a meta-analysis. A few reports showed correlations between LVI/lymphangiogenesis and LNM in liver cancer. LVI and lymphangiogenesis showed worse prognostic impacts for liver cancer than their absence, but further study is needed.

Intraoperative Lymph Node Assessment (Touch Preparation Only) for Metastatic Breast Carcinoma in Neoadjuvant and Non-neoadjuvant Settings

CONTEXT.—

Touch preparation (TP) alone is discouraged for intraoperative lymph node (LN) assessment in the neoadjuvant setting (NAS) owing to overall low sensitivity in detecting metastatic breast cancer.

OBJECTIVE.—

To compare the sensitivity, specificity, and negative predictive value of intraoperative LN assessment via TP and examine potential causes of discrepancies along with the clinical, radiologic, and pathologic parameters in the NAS and non-neoadjuvant setting (NNAS).

DESIGN.—

A total of 99 LNs from 47 neoadjuvant patients and 108 LNs from 56 non-neoadjuvant patients were identified. Discordant cases were reviewed retrospectively to reveal the discrepancy reasons. Clinical, radiologic, and pathologic data were obtained from chart review and the pathology CoPath database.

RESULTS.—

The sensitivity, specificity, and negative predictive value of TP in NAS and NNAS were 34.2% versus 37.5%, 100% versus 100%, and 70.9% versus 90.2%, respectively. In NAS, discrepancy reasons were interpretation challenge due to lobular histotype, poor TP quality secondary to therapy-induced histomorphologic changes, and undersampling due to small tumor deposits (≤2 mm); the latter was the major reason in NNAS. More cases with macrometastasis were missed in NAS compared to NNAS (14 of 25 versus 1 of 10). The parameters associated with discrepancy were lobular histotype, histologic grade 2, estrogen receptor positivity, HER2 human epidermal growth factor receptor 2 negativity, multifocality, and pathologic tumor size greater than 10 mm in NAS; and lymphovascular space involvement and pathologic tumor size greater than 20 mm in NNAS.

CONCLUSIONS.—

In NAS, intraoperative TP alone should be used very cautiously owing to a high false-negative rate of macrometastasis, especially for patients with invasive lobular carcinoma and known axillary LN metastasis before neoadjuvant therapy.

Predictors of sentinel lymph node metastasis in Chinese women with clinical T1-T2 N0 breast cancer and a normal axillary ultrasound

BACKGROUND

The clinicopathological predictors of sentinel lymph node (SLN) metastasis in clinical T1-T2 N0 (cT1-T2 N0) patients with a normal axillary ultrasound (AUS) are unclear.

PURPOSE

To assess the association between clinicopathological characteristics of a primary tumor and SLN metastasis in cT1-T2 N0 patients with a normal AUS.

MATERIAL AND METHODS

Patients who were diagnosed with cT1-T2 N0 invasive breast cancer and who obtained normal AUS results between October 2016 and September 2018 in a single hospital were included. Clinicopathological data were collected to explore the predictors of SLN metastasis using a multivariate logistic regression model.

RESULTS

SLN metastasis occurred in 26 patients (18.4%) among 141 AUS-normal patients, of which 24 cases (17.0%) had one or two nodal involvements. In the univariate analysis, tumor location, estrogen receptor (ER) status, progesterone receptor (PR) status, and lymphovascular invasion (LVI) were significantly associated with SLN metastasis (P < 0.05). The multivariate analysis showed that tumor location in the upper outer quadrant (odds ratio [OR] = 4.49, 95% confidence interval [CI] = 1.63-12.37; P = 0.004), positive PR status (OR = 13.35, 95% CI = 1.60-111.39; P = 0.017), and positive LVI (OR = 8.66, 95% CI = 2.20-34.18; P = 0.002) were independent high-risk factors for SLN metastasis. The area under the receiver operating characteristic curve of the regression model was 0.787 (95% CI = 0.694-0.881; P < 0.001).

CONCLUSION

Tumor location in the upper outer quadrant, positive PR, and LVI status were found to be significantly high-risk factors for SLN metastasis among cT1-T2 N0 breast cancer patients with a normal AUS result.

Prognostic Significance of Lymphatic, Venous and Perineural Invasion After Neoadjuvant Chemotherapy in Patients with Gastric Adenocarcinoma

Background

The significance of perineural (PNI), lymphatic (LI) and venous invasion (VI) in gastric cancer patients who have received neoadjuvant chemotherapy is unclear. The aim of this study is to determine the incidence and prognostic significance of LI, VI and PNI in these patients.

Patients and Methods

Consecutive patients treated with neoadjuvant chemotherapy followed by gastrectomy with D2 lymphadenectomy were reviewed. Presence of LI, VI and PNI was recorded and correlated with clinical outcomes.

Results

A total of 243 patients underwent gastrectomy after neoadjuvant therapy for gastric adenocarcinoma. LI was identified in 129 (53%), VI in 107 (44%) and PNI in 116 (48%) of patients. Presence of LI (HR, 2.95, CI 1.91–4.56), VI (HR, 2.66, CI 1.78–3.98) and PNI (HR, 3.85, CI 2.49–5.95) was associated with poorer survival (all p < 0.001). Multivariable analysis revealed that ypT stage (HR, 1.35, CI 1.05–1.74), ypN stage (HR, 1.53, CI 1.28–1.83) and PNI (HR, 2.11, CI 1.31–3.42) were independent predictors of survival.

Conclusions

LI, VI and PNI are associated with poorer survival, with PNI having prognostic significance independent of lymph node status. These factors may be useful for further prognostication, in particular when multiple factors are present, and appear especially useful for prognostic stratification in patients with no nodal involvement.

Prognostic factors predicting survival rate over 10 years of patients with intrahepatic cholangiocarcinoma after hepatic resection

Purpose

Hepatic resection is considered as the optimal treatment for intrahepatic cholangiocarcinoma (IHCC); however, the survival rate after resection is low and the analysis of long-term (≥10 years) survivors is rare. This study aims to analyze the clinicopathological factors affecting the long-term survival of patients with IHCC.

Methods

Between January 2003 and December 2012, a single-institution cohort of 429 patients who underwent hepatic resection for IHCC were reviewed retrospectively. Surgical results, recurrence, and survival rates were investigated, and multivariate analyses were performed to identify prognostic factors.

Results

The overall 1- , 3- , 5- and 10-year survival rates of patients were 76.5%, 44.1%, 33.3%, and 25.1%, respectively. Multivariate analysis showed that the serum CA 19-9 level (≥38 U/mL) (P < 0.001), lymph node (LN) metastasis (P = 0.001), and lymphovascular invasion (LVI) (P = 0.012) were independent factors associated with overall survival. In particular, CA 19-9 level and histologic type were determined to be independent factors affecting survival for more than 10 years.

Conclusion

CA 19-9 (≥38 U/mL), LN metastasis, and LVI were identified as independent risk factors for survival after resection of IHCC. CA 19-9 (<38 U/mL) and histologic type were independent factors predicting survival for more than 10 years.

Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning

Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve increased accuracy in diagnosis with higher efficiency. Purpose To determine the feasibility of using a DL approach to predict clinically negative axillary lymph node metastasis from US images in patients with primary breast cancer. Materials and Methods A data set of US images in patients with primary breast cancer with clinically negative axillary lymph nodes from Tongji Hospital (974 imaging studies from 2016 to 2018, 756 patients) and an independent test set from Hubei Cancer Hospital (81 imaging studies from 2018 to 2019, 78 patients) were collected. Axillary lymph node status was confirmed with pathologic examination. Three different convolutional neural networks (CNNs) of Inception V3, Inception-ResNet V2, and ResNet-101 architectures were trained on 90% of the Tongji Hospital data set and tested on the remaining 10%, as well as on the independent test set. The performance of the models was compared with that of five radiologists. The models' performance was analyzed in terms of accuracy, sensitivity, specificity, receiver operating characteristic curves, areas under the receiver operating characteristic curve (AUCs), and heat maps. Results The best-performing CNN model, Inception V3, achieved an AUC of 0.89 (95% confidence interval [CI]: 0.83, 0.95) in the prediction of the final clinical diagnosis of axillary lymph node metastasis in the independent test set. The model achieved 85% sensitivity (35 of 41 images; 95% CI: 70%, 94%) and 73% specificity (29 of 40 images; 95% CI: 56%, 85%), and the radiologists achieved 73% sensitivity (30 of 41 images; 95% CI: 57%, 85%; P = .17) and 63% specificity (25 of 40 images; 95% CI: 46%, 77%; P = .34). Conclusion Using US images from patients with primary breast cancer, deep learning models can effectively predict clinically negative axillary lymph node metastasis. Artificial intelligence may provide an early diagnostic strategy for lymph node metastasis in patients with breast cancer with clinically negative lymph nodes. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Bae in this issue.

Pattern of recurrence and prognostic factors in patients with pT1-3 N0 esophageal squamous cell carcinoma after surgery: analysis of a single center experience

Background

The aims of this study were to determine the recurrence rate and the prognostic factors for recurrence-free survival (RFS) in esophageal squamous cell carcinoma (ESCC) patients without lymph node metastasis (LNM).

Methods

Between January 2011 and June 2017, 101 patients with ESCC were treated and pathologically confirmed to be lymph node negative. The clinicopathological parameters were evaluated to identify the prognostic factors for RFS using Cox proportional hazards models.

Results

Nineteen out of 101 patients (18.8%) developed recurrence, and the median RFS was 41 months. The most common pattern of relapse was local recurrence (n = 11; 57.9%), followed by distant recurrence (n = 7; 36.8%); one patient developed local and distant recurrence simultaneously. The results of multivariate analysis showed that the independent prognostic factors for decreased RFS in node-negative patients were a tumor located in the upper chest (odds ratio [OR], 0.767; 95% confidence intervals (CI), 1.523–14.916, P = 0.007), the presence of lymphovascular invasion (OR, 3.534; 95% CI, 1.077–11.596, P = 0.037), and a preoperative serum carcinoembryonic antigen level ≥ 5 μg/ml (OR = 5.466; 95% CI, 1.590–18.787, P = 0.007).

Conclusions

The aforementioned parameters were the prognostic factors in node-negative ESCC patients, and they associated with a higher probability of recurrence after surgery. These patients should be followed closely, and adjuvant therapy should be considered.

A Machine Learning Approach for the Association of ki-67 Scoring with Prognostic Factors

ki-67 score is a solid tumor proliferation marker being associated with the prognosis of breast carcinoma and its response to neoadjuvant chemotherapy. In the present study, we aimed to investigate the way of clustering of prognostic factors by ki-67 score using a machine learning approach and multiple correspondence analysis. In this study, 223 patients with breast carcinoma were analyzed using the random forest method for classification of prognostic factors according to ki-67 groups (<14% and >14%). Also the relationship between subgroups of prognostic factors and ki-67 scores was examined by multiple correspondence analysis. There was a clustering of molecular classification LA, 0-3 metastatic lymph node, age <50, absence of LVI, T1 tumor size with ki-67 <14% and grade III, 10 or more metastatic lymph nodes, and presence of LVI and molecular classification LB, age >50, and T3-T4 tumor size categories with ki-67 >14%. The fact that the low scores of ki-67 correlate with early stage diseases and high scores with advanced disease suggests that 14% threshold value is crucial for ki-67 score.

Regional Lymph Node Metastases in Groin Sarcomas: A Diagnostic and Therapeutic Challenge

INTRODUCTION

The evaluation of lymph nodes and the role of groin dissection for groin sarcomas has been controversial where there have not been previous studies or guidelines published. In this study, we aim to first formulate a clinical approach in the evaluation of regional lymph nodal metastases. Second, we aim to also evaluate the role of regional lymphadenectomy in the setting of pathologically involved regional lymph nodes for groin sarcomas.

MATERIALS AND METHODS

In total, 43 consecutive patients with groin sarcomas underwent treatment at the National Cancer Centre Singapore between 2002 and 2015. Univariate comparisons were performed using the log-rank test. A Cox multivariate analysis was performed for disease-specific survival to identify independent prognostic factors.

RESULTS

The median disease-free survival was 18 months (range, 1 to 180 mo). The median overall survival (OS) was 28 months (range, 3 to 180 mo). In total, 28 patients underwent a groin dissection. Of the 28 patients who underwent groin dissections, 15 had negative lymph node involvement, 7 had positive lymph node involvement and 6 had lymphovascular invasion.On univariate analysis, grade (P=0.047) and clinical and/or radiological involvement (P=0.039) were significant for regional lymph nodal metastases.The 5-year OS for patients with positive lymph nodes was 31%.

CONCLUSIONS

Our study suggests that the evaluation of lymph nodes via groin dissections in groin sarcomas in the Asian population should be based primarily on clinical and radiologic evidence. Regional lymph node dissection seems to confer OS benefit in patients with these high-risk tumors and can improve local control of disease.

Association between US features of primary tumor and axillary lymph node metastasis in patients with clinical T1-T2N0 breast cancer

Background Most patients with early-stage breast cancer have clinically negative lymph nodes (LNs). However, 15-20% of patients have axillary nodal metastasis based on the sentinel LN biopsy. Purpose To assess whether ultrasound (US) features of a primary tumor are associated with axillary LN metastasis in patients with clinical T1-T2N0 breast cancer. Material and Methods This retrospective study included 138 consecutive patients (median age = 51 years; age range = 27-78 years) who underwent breast surgery with axillary LN evaluation for clinically node-negative T1-T2 breast cancer. Three radiologists blinded to the axillary surgery results independently reviewed the US images. Tumor distance from the skin and distance from the nipple were determined based on the US report. Association between US features of a breast tumor and axillary LN metastasis was assessed using a multivariate logistic regression model after controlling for clinicopathologic variables. Results Of the 138 patients, 28 (20.3%) had nodal metastasis. At univariate analysis, tumor distance from the skin ( P = 0.019), tumor size on US ( P = 0.023), calcifications ( P = 0.036), architectural distortion ( P = 0.001), and lymphovascular invasion ( P = 0.049) were associated with axillary LN metastasis. At multivariate analysis, shorter skin-to-tumor distance (odds ratio [OR] = 4.15; 95% confidence interval [CI] = 1.01-16.19; P = 0.040) and masses with associated architectural distortion (OR = 3.80; 95% CI = 1.57-9.19; P = 0.003) were independent predictors of axillary LN metastasis. Conclusion US features of breast cancer can be promising factors associated with axillary LN metastasis in patients with clinically node-negative early-stage breast cancer.

The presence of lymphovascular and perineural infiltration after neoadjuvant therapy and oesophagectomy identifies patients at high risk for recurrence

Background:

In patients treated for oesophageal cancer the importance of lymphovascular and perineural invasion (PNI) after neoadjuvant therapy has yet to be established. The aim of this study was to assess the incidence and prognostic significance of these factors in a consecutive series of patients with cancer of the oesophagus or gastro-oesophageal junction (GOJ) who underwent neoadjuvant therapy followed by oesophagectomy.

Methods:

Clinical and pathology results from patients with potentially curable adenocarcinoma, or squamous cell carcinoma of the oesophagus or GOJ were reviewed. Patients were treated with neoadjuvant chemotherapy or chemoradiation followed by transthoracic oesophagectomy and two-field lymphadenectomy. The presence of venous invasion (VI), lymph vessel invasion (LI) and perineural invasion (PNI) were correlated with clinical outcomes.

Results:

A total of 396 patients underwent oesophagectomy after neoadjuvant therapy for oesophageal cancer. Venous invasion was identified in 150 (38%) of patients, LI in 203 (51%) patients and PNI in 204 (52%) patients. In all, 123 (31%) patients had no evidence of either VI, LI or PNI. A total of 96 (24%) had a combination of two factors and 94 (24%) had all three factors. The presence of VI, LI and PNI was significantly related to tumour stage (P=0.001). Median overall survival was 170.8 months when all three factors were absent, 44.0 months when one factor was present, 27.1 months when two factors were present and 16.0 months when all were present. Multivariate analyses revealed VI, LI and PNI or a combination of these factors were independent predictors of prognosis.

Conclusions:

In oesophageal cancer patients treated with neoadjuvant therapy followed by oesophagectomy the presence of VI, LI and PNI has an important prognostic impact and may identify patients at high risk of recurrence who would benefit from adjuvant therapies.

Impact of Vascular Invasion of a Primary Tumor as a Strong Risk Factor for Disease Recurrence in Patients with Node-Positive Breast Cancer

The presence of lymph node metastasis is considered to be the most significant indicator of prognosis. However, in some cases with node-positive breast cancer, cancer cell dissemination is localized to the lymphatic systems. It is, therefore, important to develop selection criteria for strong adjuvant therapy in patients with node-positive breast cancer. This study was undertaken to evaluate the presence of vascular invasion that may reflect systemic disease as a predictor of disease recurrence in node-positive breast cancer. We retrospectively evaluated the cases of 134 consecutive female patients with breast cancer with lymph node metastasis who underwent radical breast operations. We examined the relationship between recurrence and clinicopathological factors, particularly vascular invasion. The presence of vascular invasion was found to be significant in a univariate analysis. The presence of vascular invasion was the independent risk factor in a multivariate analysis. Among the 66 patients without vascular invasion, four (6.1%) had disease recurrence. On the other hand, among the 68 patients with vascular invasion, 15 (22.1%) had a recurrence. It is interesting to note that despite the presence of lymph node metastasis, the group without vascular invasion had few patients with distant metastases. Our results suggest that the presence of vascular invasion could be an indicator of high biological aggressiveness and may be a strong prognostic factor for node-positive breast cancer.

Lymphovascular and perineural invasion as selection criteria for adjuvant therapy in intrahepatic cholangiocarcinoma: a multi-institution analysis

OBJECTIVES

Criteria for the selection of patients for adjuvant chemotherapy in intrahepatic cholangiocarcinoma (IHCC) are lacking. Some authors advocate treating patients with lymph node (LN) involvement; however, nodal assessment is often inadequate or not performed. This study aimed to identify surrogate criteria based on characteristics of the primary tumour.

METHODS

A total of 58 patients who underwent resection for IHCC between January 2000 and January 2010 at any of three institutions were identified. Primary outcome was overall survival (OS).

RESULTS

Median OS was 23.0 months. Median tumour size was 6.5 cm and the median number of lesions was one. Overall, 16% of patients had positive margins, 38% had perineural invasion (PNI), 40% had lymphovascular invasion (LVI) and 22% had LN involvement. A median of two LNs were removed and a median of zero were positive. Lymph nodes were not sampled in 34% of patients. Lymphovascular and perineural invasion were associated with reduced OS [9.6 months vs. 32.7 months (P= 0.020) and 10.7 months vs. 32.7 months (P= 0.008), respectively]. Lymph node involvement indicated a trend towards reduced OS (10.7 months vs. 30.0 months; P= 0.063). The presence of either LVI or PNI in node-negative patients was associated with a reduction in OS similar to that in node-positive patients (12.1 months vs. 10.7 months; P= 0.541). After accounting for adverse tumour factors, only LVI and PNI remained associated with decreased OS on multivariate analysis (hazard ratio 4.07, 95% confidence interval 1.60-10.40; P= 0.003).

CONCLUSIONS

Lymphovascular and perineural invasion are separately associated with a reduction in OS similar to that in patients with LN-positive disease. As nodal dissection is often not performed and the number of nodes retrieved is frequently inadequate, these tumour-specific factors should be considered as criteria for selection for adjuvant chemotherapy.