Clinical and ultrasound features correlated with a heavy axillary nodal tumor burden in colon cancer

2021 ◽  
Author(s):  
Wenjuan Qu ◽  
Nianan He ◽  
Xiao Yang ◽  
Changhe Yuan
Keyword(s):  
Colon Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Tumor Size ◽  
Lymphovascular Invasion ◽  
Tumor Burden ◽  
Axillary Lymph ◽  
Node Metastasis ◽  
Pathologic Features ◽  
Nodal Burden

Aim: This study aimed to investigate the correlation between the pathologic and ultrasound (US) characteristics of colon cancer and the heavy axillary nodal burden. Methods: In total, 631 patients diagnosed with invasive colon cancer were recruited with ethical ratification. Results: The unitary pathologic features correlated with heavy axillary lymph nodal burden included the age of patient (p = 0.035), tumor size (p = 0.001), lymph node metastasis (p = 0.001), lymphovascular invasion (p = 0.020) and pathology type (p = 0.012). The independent US characteristics correlated with heavy axillary nodal burden included posterior acoustic enhancement (p = 0.006). Heavy axillary nodal burden was correlated with tumor size, lymph node metastasis, lymphovascular invasion and pathology type. Conclusion: Tumor size, lymph node metastasis and posterior acoustic can be used to predict the axillary lymph node tumor burden.

scholarly journals Axillary Lymph Node Metastasis of Colon Cancer—Case Report and Literature Review

2014 ◽  
Vol 03 (12) ◽  
pp. 669-673
Author(s):  
Helena Devesa ◽  
Luísa Pereira ◽  
Álvaro Gonçalves ◽  
Telma Brito ◽  
Teresa Almeida ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Case Report ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Literature Review ◽  
Axillary Lymph Node ◽  
Axillary Lymph Node Metastasis ◽  
Cancer Case ◽  
Axillary Lymph ◽  
Node Metastasis

Validation of nomograms to predict non-sentinel lymph node metastasis after positive sentinel lymph node in breast cancer: Indian cohort background.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 568-568
Author(s):  
Asha Reddy ◽  
Nita S. Nair ◽  
Smruti Mokal ◽  
Tanuja Shet ◽  
Vani Parmar ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Node Metastasis ◽  
Positive Sentinel Lymph Node ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph ◽  
Node Metastasis ◽  
Completion Axillary Dissection ◽  
Nodal Burden

568 Background: Axillary lymph node metastasis is still the important prognostic factor in the management of breast cancer (BC). Where we have moved towards axillary conservation in clinically node negative (cN0), the debate on what after 1-2 sentinel lymph nodes positive (SLN+ve) still continues. The ideal situation would be wherein we can accurately predict which patient has a risk of additional non SLN+ve. Several nomograms have been developed to predict the risk of NonSLN+ve. But in view of the differences in tumor size and nodal burden between our patients and the western data, we conducted a study to validate some of these nomograms in our cohort of early BC with positive LN on Low axillary sampling (LAS). Methods: Clinico-pathological data was collected for operable BC (OBC) with cN0 who underwent upfront SLNB or AS. This was entered into the various nomograms and the probability of the Non SLN+ve was calculated. Nomograms with AUC of greater than 0.7 were pre-defined as considerable discrimination. Results: From 2013 to 2018, 2350 women with cN0 OBC underwent LAS. Of which, 670 (28.5%) had a positive node on LAS. Median pT size was 3 cm with 327 (48%), LVI +ve 152 (77%) ENI +ve, 525 (78.4%) Hormone receptor +ve and 485 (72.4%) grade 3 tumors. Of 670, 239 (35.7%) had a NonSLN+ve on completion axillary dissection. The AUC values for nomograms included,ie. MSKCC, MDAnderson, Tenon, Cambridge, Shanghai, Mayo clinic and Turkish were 0.769, 0.77, 0.55, 0.74, 0.65, 0.529, 0.563 respectively. Only three nomograms, MDA, MSKCC and Cambridge had an AUC of more than 0.7. However, they were associated with poor sensitivity and specificity and high FNR (Table) making them clinically unreliable for this cohort. Conclusions: All 7 nomograms were not validated in our study. The larger T size and higher nodal burden of our cohort may be responsible for the same. We thus need to develop an Indian nomogram to predict the risk of non SLN+ve for our patients. [Table: see text]

scholarly journals Diagnostic Model Incorporating Clinicopathological Characteristics of Delphian Lymph Node Metastasis Risk Profiles in Papillary Thyroid Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Xingchen Li ◽  
Yuansheng Duan ◽  
Dandan Liu ◽  
Hongwei Liu ◽  
Mengqian Zhou ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Tumor Size ◽  
Lymphovascular Invasion ◽  
Diagnostic Model ◽  
Papillary Thyroid ◽  
Central Lymph Node ◽  
Node Metastasis ◽  
Central Lymph

The Delphian lymph node (DLN), also known as the prelaryngeal node, is one component of the central lymph node. The DLN has been well studied in laryngeal cancer, although its significance in papillary thyroid cancer (PTC) remains unclear. We retrospectively analyzed 936 patients with PTC who underwent thyroidectomy by a single surgeon in Tianjin Cancer Hospital from 2017 to 2019. Moreover, 250 PTC patients who underwent thyroidectomy by another surgeon in Tianjin Cancer Hospital from January 2019 to April 2019 were used as a validation cohort. Among the 936 patients with PTC, 581 patients (62.1%) had DLNs, of which 177 samples with metastasis (177/581, 30.5%) were verified. DLN metastasis was significantly correlated with sex, age, tumor size, bilateral cancer, multifocality, extrathyroidal extension, lymphovascular invasion and central and lateral neck lymph node metastasis. Multivariate analysis revealed that independent risk factors for DLN metastasis included age, gender, tumor size, extrathyroid extension, lymphovascular invasion and central lymph node metastasis, which determined the nomogram. In particular, tumor size was proven to be one of the most predominant single predictors. The diagnostic model had an area under the curve (AUC) of 0.829 (95% confidence interval, 0.804–0.854). The internal and external validations of the nomogram were 0.819 and 0.745, respectively. Our results demonstrate that DLN metastasis appears to be a critical parameter for predicting metastatic disease of the central compartments. Furthermore, this study provides a precise criterion for assessing DLN metastasis and has great clinical significance for treating PTC.

scholarly journals Pelvic Lymphadenectomy in the Treatment of Invasive Bladder Cancer: Literature Review

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Ehab A. Elzayat ◽  
Ali A. Al-Zahrani
Keyword(s):  
Bladder Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Lymphovascular Invasion ◽  
Tumor Burden ◽  
Pelvic Lymphadenectomy ◽  
Invasive Bladder Cancer ◽  
Node Density ◽  
Node Metastasis

The standard surgical treatment of invasive bladder cancer is the radical cystectomy and pelvic lymph node dissection (PLND). Up to one-third of patients with invasive bladder cancer have lymph node metastasis. Thus, PLND has important therapeutic and prognostic benefits. The number of lymph nodes that should be removed and the extent of the PLND are still a controversial issue. Recently, the trend of PLND increased toward more extended PLND. Several prognostic factors related to PLND were reported in the literature. In this paper, we will discuss the different PLND templates, number of lymph nodes that should be resected, lymph node density, lymphovascular invasion, tumor burden, extracapsular extension, and the aggregate lymph node metastasis diameter.

Diagnostic model incorporating clinicopathological characteristics of Delphian lymph node metastasis risk profiles in papillary thyroid cancer

2020 ◽  
Author(s):  
Xingchen Li ◽  
Yuansheng Duan ◽  
Dandan Liu ◽  
Hongwei Liu ◽  
Mengqian Zhou ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Tumor Size ◽  
Lymphovascular Invasion ◽  
External Validation ◽  
Diagnostic Model ◽  
Extrathyroid Extension ◽  
Central Lymph Node ◽  
Node Metastasis ◽  
Central Lymph

Abstract Background Delphian lymph node (DLN), also known as prelaryngeal node, is the component of central lymph node (Level VI). DLN has been well studied in laryngeal cancer while less in papillary thyroid cancer (PTC). However, increasing attention has been payed to its clinical value in PTC lymph node metastasis. The aim of this study was to assess the clinicopathologic risk factors for DLN metastasis and to calibrate an informative diagnosis model for predicting risk stratification in DLN metastasis. Methods Retrospectively analysis 936 PTC patients who underwent thyroidectomy by a single surgeon, in the department of Head and Neck Surgery of Tianjin Cancer Hospital from 2017 to 2019. Moreover, 250 PTC patients underwent thyroidectomy by another surgeon at Tianjin Cancer Hospital between January 2019 and April 2019 were used as a validation cohort. Univariate analysis and multivariable logistic regression were used to identify clinicopathologic risk factors associated with DLN metastasis. A diagnostic model was generated using logistic regression, and internal validation and external validation were also performed. Predictive performance was assessed using area under the receiver operating characteristic curve (AUROC) and calibration plot. A nomogram plot was drawn to predict individual risk based on the diagnosis prediction model. Results In 936 cases, 581 (62.1%) show DLN, and 177 (177/581,30.5%) were verified metastasis. DLN metastasis was significantly associated with gender, age, tumor size, bilateral cancer, multifocality, extrathyroidal extension, lymphovascular invasion and central and lateral neck lymph node metastasis. Multivariate analysis revealed that age, gender, tumor size, extrathyroid extension, lymphovascular invasion and central lymph node metastasis were independent risk factor of DLN metastasis. The nomogram included age, gender, tumor size, extrathyroid extension, lymphovascular invasion and central lymph node metastasis, and all these features had a specificity of 100%. Particularly, tumor size was the best single predictor. The diagnostic model had an area under the curve (AUC) of 0.829 (95% confidence interval, 0.804–0.854). Internal and external validation of nomogram was 0.819 and 0.745, respectively. Conclusions DLN metastasis appears to be an important parameter that predict metastatic disease of the central compartments. To assess DLN metastasis in more precise criterions, has great clinical significance for PTC treatment selection.

Breast Cancer Close to the Nipple: Does This Increase the Risk of Nodal Metastasis at Diagnosis?

2011 ◽  
Vol 62 (3) ◽  
pp. 209-214 ◽  
Author(s):  
Erin I. Lewis ◽  
Al Ozonoff ◽  
Cheri P. Nguyen ◽  
Michael Kim ◽  
Priscilla J. Slanetz
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Axillary Lymph Node ◽  
Lymphovascular Invasion ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph ◽  
Node Metastasis ◽  
Tumour Location

Background Previous studies of patients with invasive breast cancer examined, with mixed results, tumour location as a predictor of axillary lymph node metastasis. This study assessed whether tumour location in relation to the nipple impacts the presence of axillary lymph node metastasis at the time of diagnosis. Methods A retrospective review was undertaken of the medical records and available imaging of 285 patients diagnosed with invasive breast cancer between January 2001 to June 2007 at Boston University Medical Center. The incidence of axillary lymph node metastasis was correlated with tumour location in relation to the posterior nipple line to control for variation in breast size. Bivariate analysis identified significant variables that were applied to a multiple logistic regression model. Results Axillary lymph node metastasis was not significantly associated with tumour proximity to the nipple. In the multivariate logistic regression analysis, known prognostic factors for axillary metastasis, such as surgical size, lymphovascular invasion, and age of diagnosis, were significant, whereas breast density, palpability, and histologic grade were no longer significant. Conclusions Our study found that there was no evidence that correlates intramammary tumour proximity to the nipple with the presence of axillary lymph node metastasis at diagnosis. However, known prognostic factors, such as lymphovascular invasion, surgical size, and younger age at diagnosis, are strong independent predictors for axillary lymph node involvement.

scholarly journals Association of Histopathological Parameters and Axillary Lymphnode Metastasis in Primary Breast Carcinoma

2021 ◽  
Vol 6 (4) ◽  
pp. 379-382
Author(s):  
Manjula K Purushotham ◽  
Pradeep Mitra Venkatesh
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Tumor Size ◽  
Axillary Lymph Node ◽  
Inflammatory Infiltrate ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph ◽  
Node Metastasis ◽  
T Stage ◽  
Common Malignancy

Introduction: The most common malignancy worldwide among females is breast carcinoma and the second most common malignancy in India, next to cervical cancer. A wide range of potential prognostic features have been studied in breast cancer and are mainly divided into two groups i.e. Histopathological and Molecular. The histological features are cost-effective and provide reliable diagnostic and prognostic information in these tumors. Axillary Lymph node status is one of the most important prognostic factors and greatly affects the morbidity and mortality of the patient. Materials and Methods: All breast cancer specimens received in the Department of Pathology over a period of five years. The following histopathological parameters were carefully studied like Tumor size, Histological type, Grade, Presence of necrosis, Inflammatory cell infiltrate, Lymphatic invasion, Blood vessel invasion, Perineural invasion, and other Stromal changes were studied in detail, and association of these histopathological parameters with axillary lymph node metastasis were analyzed. Results: A total of 100 cases were studied, and most of the patients were over the age of 50. The maximum number of cases was in the T2 stage (55%). Infiltrating ductal carcinoma (88%) was the most common type of tumor encountered in the study. The majority of the cases were Grade I tumors. Skin Invasion was seen in 14% and Lymphovascular Invasion was seen in 17% of cases respectively. There was a statistically significant association between the size of the tumor, T stage, Grade of the tumor, necrosis, and inflammatory infiltrate on further analysis. Conclusion: There was a statistically significant correlation between Tumor size, pathological T stage, Grade of the tumor, Necrosis and inflammatory infiltrate with axillary Lymph node metastasis in the present study. Increased tumor size, T stage, higher grade, presence of necrosis and low inflammatory infiltrate are associated with increased axillary Lymph node metastasis.

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