Invasive Lobular Breast Cancer: Data to Support Surgical Decision Making

Cocco, Daniela; ElSherif, Ayat; Wright, Matthew; Dempster, Marcus S.; Kruse, Megan; Li, Hong; Valente, Stephanie A.

doi:10.1245/s10434-021-10455-7

Cited by 12 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Taking the various tumor histology types into consideration, lobular histotype has been already characterized as one of the pitfalls of various methods of detecting involved LNs like FNA, FS, and touch preparation (TP) due to the dyshesive nature of the tumor cells. Hence, clinicians should be mindful of the increased likelihood of hidden LN involvement with ILC, potentially leading to early metastasis 47,[51][52][53][54] . Within our cohort study, we assessed seven excised lymph nodes from the singular patient with invasive lobular carcinoma (ILC) and LN involvement using ELS.…”

Section: Discussionmentioning

confidence: 99%

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

Abbasvandi,

Mahdavi,

Bayat

et al. 2024

Sci Rep

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

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

Abbasvandi,

Mahdavi,

Bayat

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Breast cancer is a highly heterogeneous tumor, and the main cause of death in breast cancer patients is generally not the primary tumor, but distant metastasis [ 15 ]. Over the past few decades, the incidence of distant metastasis and death in breast cancer patients has decreased significantly due to advances in surgical methods and systematic neoadjuvant chemotherapy [ 16 ]. However, distant metastasis occurs in about 19%–29% of patients regardless of the treatment regimen.…”

Section: Discussionmentioning

confidence: 99%

Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning

Tian

Zhang

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

This research aimed to explore the effect of using magnetic resonance imaging (MRI) radiomic features to establish a model for predicting distant metastasis under dynamic contrast-enhanced MRI imaging with deep learning algorithms. The deep learning algorithm was used to segment the images. A total of 96 cases with 100 lesions were included in the metastatic group, including 2 cases of bifocal breast cancer and 2 cases of multifocal breast cancer. There were 192 cases in the nonmetastatic group, with 197 lesions, including 5 cases of multifocal breast cancer. After dynamic contrast-enhancement, the morphological features and grayscale statistical features were extracted from the lesions to establish a prediction model through sum-sum check and feature dimension reduction. The accuracy, sensitivity, specificity, and area under receiver operator characteristic curve (AUC) of prediction models based only on imaging features were compared with those created by combining radiomic features with clinical and pathological features. The created predictive model based on radiomic features for distant metastases in breast cancer showed a sensitivity of 66.7%, a specificity of 84.2%, an accuracy of 78.3%, and an AUC of 0.744. The sensitivity of the prediction model for distant metastasis of breast cancer was 67.7%, the specificity was 86.8%, the accuracy was 80.5%, and the AUC was 0.763. Bone, lung, and liver were the most common distant metastatic sites of breast cancer. Under the dynamic contrast-enhanced MRI of deep learning, the prediction model combining radiomic features with clinical and pathological features showed better predictive performance.

show abstract

“…Korean National Health Insurance Service (NHIS) system recommends all Korean women to receive screening mammography every two years from their 40s if they are registered to get the NHIS. These screening mammography contributed to early detection of breast cancer and also affected the incidence of breast cancer [2,3]. It is well known that mortality rate from breast cancer reduced in asymptomatic women aged 40 to 69 years who underwent screening mammography every two years, whereas mortality from breast cancer did not decrease in women over 70 years of age [4].…”

Section: Introductionmentioning

confidence: 99%

Clinicopatholgic Characteristics to the Relapse on Ductal Carcinoma <i>In Situ</i>: Ki-67 Index as the Most Influential Prognostic Factor

Park¹,

Gwak²,

Kim³

et al. 2022

J Breast Dis

View full text Add to dashboard Cite

Purpose: The biggest concern related to ductal carcinoma in situ (DCIS) is local recurrence and recurrence patterns. The purpose of this study was to investigate the relationship between clinicopathological factors and relapse in patients treated with DCIS.Methods: We reviewed medical records of 104 patients who were diagnosed as DCIS between January 1999 and December 2015 at a single institute. We compared and analyzed clinicopathological factors such as age at diagnosis, preoperative lesions on ultrasonography, preoperative tumor markers, operation methods in the breast, histological grade, nuclear grade, resection margin, comedonecrosis, estrogen receptor/ progesterone receptor expression, human epidermal factor receptor 2/neu expression, Ki-67, postoperative implementation of adjuvant hormonal therapy, and radiotherapy by dividing them into recurrent and non-recurrent groups.Results: Seventeen patients (16.3%) of 104 patients relapsed in the ipsilateral or contralateral breast. The median follow-up period of non-relapsed group was 4.9 years (range, 0.5–19.15) and the median follow-up period of relapsed group was 3.5 years (range, 1.4–14.13). Clinicopathological factors that were significantly related to relapse were nuclear grade (p=0.022) and Ki-67 (p=0.025) based on the results of chi-square or Fisher’s exact analysis. In multivariate analysis using logistic regression, Ki-67 (p=0.021) was significantly associated with DCIS relapse.Conclusion: This study suggested that the higher Ki-67 over 14% was strongly associated with DCIS relapse.

show abstract

Invasive Lobular Breast Cancer: Data to Support Surgical Decision Making

Cited by 12 publications

References 22 publications

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

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

Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning

Clinicopatholgic Characteristics to the Relapse on Ductal Carcinoma <i>In Situ</i>: Ki-67 Index as the Most Influential Prognostic Factor

Contact Info

Product

Resources

About

Invasive Lobular Breast Cancer: Data to Support Surgical Decision Making

Cited by 12 publications

References 22 publications

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

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

Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning

Clinicopatholgic Characteristics to the Relapse on Ductal Carcinoma &lt;i&gt;In Situ&lt;/i&gt;: Ki-67 Index as the Most Influential Prognostic Factor

Contact Info

Product

Resources

About

Clinicopatholgic Characteristics to the Relapse on Ductal Carcinoma <i>In Situ</i>: Ki-67 Index as the Most Influential Prognostic Factor