جستجوی مقالات مرتبط با کلیدواژه « lymphatic metastasis » در نشریات گروه « پزشکی »

Detection of axillary metastases in breast cancer is critical for treatment options and prognosis. The aim of this study is to investigate the value of radiomic features obtained from short tau inversion recovery (STIR) sequences in magnetic resonance imaging (MRI) of primary tumor in breast cancer in predicting axillary lymph node metastasis (ALNM).

Lesions of 165 patients with a mean age of 51.12 ±11 (range 28-82) with newly diagnosed invasive breast cancer who underwent breast MRI before treatment were manually segmented from STIR sequences in the 3D Slicer program in all sections. Machine learning (ML) analysis was performed using the extracted 851 features Python 3.11, Pycaret library program. Datasets were randomly divided into train (123, 80%) and independent test (63, 20%) datasets. The performances of ML algorithms were compared with area under curve (AUC), accuracy, recall, presicion and F1 scores.

Accuracy and AUC in the training set were in the range of 57 %-86 % and 0.50-0.95, respectively. The best model in the training set was the catBoost classifier with an AUC of 0.95 and 84% accuracy. The AUC, accuracy, recall, precision values and F1 score of the CatBoost classifier on the test set were 0.92, 84 %, 89 %, 85 %, 86 %, respectively.

Radiomic features obtained from primary tumors on STIR sequences have the potential to predict ALNM in invasive breast cancer.

In this study, we aimed to identify the predicting pathological factors affecting sentinel lymph node biopsy (SLNB) in patients with clinically node-negative breast cancer.

Our single institution retrospective study was conducted at the Cancer Research Center of Shahid Beheshti University of Medical Sciences from 2018 to 2021. Data were imported into and analyzed using SPSS Version 28 for Windows (IBM Corp., Armonk, NY, USA).

  Of the 76 patients who underwent SLNB, 43 (56.6%) had negative SLNB and 33 (43.4%) had positive SLNB which led to axillary lymph node dissection (ALND). The relationship between hormone receptor status (ER/PR/Her2), pathology type (IDC, ILC, DCIS, LCIS), tumor size, and Ki67 expression was assessed. According to the results, axillary lymph node involvement can be predicted based on the scores and results of the three variables: IDC tumor type, lympho vascular invasion (LVI), and Ki67 expression. The positive relationship between IDC tumor type and LVI with SLNB indicates that with positive IDC tumor type and LVI, there is a higher probability of positive axillary lymph nodes (3.88 times higher probability for IDC tumor type and 6.75 times higher probability for the LVI factor). However, when the Ki67 expression is lower, the probability of positive axillary lymph nodes is higher (3.58 times higher probability).

IDC tumor type, LVI, and lower Ki67 expression are independent predictive factors of positive SLNB.

Recently, the predictive value of lymph node ratio (LNR, the ratio of metastatic lymph nodes to total examined lymph nodes) has been evaluated in patients with gastrointestinal malignancies, including pancreatic cancer. However, there is not enough evidence about the prognostic value of this factor.

We aimed at determining the value of LNR in predicting the survival of patients who have undergone the Whipple procedure.

This cohort study was performed on 96 patients with pancreatic cancer undergoing the Whipple procedure during 2014 - 2019. Demographic, clinical, and pathological data of the patients were extracted from their records and patients’ survival status was determined through follow-up. LNR and its effect on survival was calculated using the Cox model.

Of the 96 eligible patients, 51 (53.13%) were men. The mean age of the patients was 57.1 ± 14.1 (range: 19 - 82) years. The median total lymph nodes examined was 7 (range: 1 - 27), and no metastatic lymph nodes were found in 57 (59.37%) patients. The median involved lymph nodes and LNR were 2 and 0.17, respectively. Patients with LNR > 0.20 had the lowest 1 and 3-year survival rates. Age (P = 0.04), surgical radial margin (P = 0.001), lymph node status (N0, N1) (P = 0.01), and LNR (P = 0.01) were the most important prognostic factors for survival.

LNR is a valuable indicator that can be used in patients with lymph node involvement as a prognostic factor for poor survival after the Whipple procedure. The lowest 1, 3, and 5-year survival rates were seen in patients with LNR > 0.20.

Although schwannoma may occur in any organ, it very seldom appears as an interpectoral lesion and rarely arises in the brachial plexus. We here report the case of a breast cancer patient with a schwannoma located in the interpectoral space that mimicked a metastatic lymph node with various imaging modalities, including ultrasonography, magnetic resonance imaging, and positronemission tomography/computed tomography. Awareness of its location and imaging features on various modalities is helpful for identifying schwannoma mimicking a metastatic interpectoral lymph node in breast cancer patients without axillary level I lymph node metastasis.

Branchial cleft cyst carcinoma (BCCC) is an extremely rare malignancy originating from cells within the branchial cleft cyst wall. A 73-year-old man presented with a cystic mass with cellulitis mimicking abscess initially and recurred 3 years later as complex cystic lesion in right neck level II with multiple necrotic ipsilateral lymphadenopathy. The pathological diagnosis of cystic lesion was squamous cell carcinoma, suggesting possibility of originating from branchial cleft cyst. There was no identifiable primary cancer elsewhere by a thorough evaluation; eventually final diagnosis was branchial cleft cyst carcinoma to meet the modified criteria of Khafif et al. Up to the present time, there has been no evidence of recurrence. Although the BCCC is very rare, accurate diagnosis is important to plan proper treatment for patient. This report should help increase awareness of BCCC, which should be included in the differential diagnosis of a cystic neck mass.

Squamous cell carcinoma of the oral cavity is one of the most important and common types of head and neck malignancy, with an estimated rate of 4% among all human malignancies. The aim of this study was to determine the association between expression of matrix metalloproteinase 2 and 9 and the clinicopathological features of oral squamous cell carcinoma (OSCC). One hundred existing samples of formalin-fixed paraffin embedded specimens of OSCC were evaluated by immunohistochemistry staining for matrix metalloproteinase 2 and 9 antibodies. Samples were divided into four groups: negative, <10%, 10–50%, and >50%. Patient records were assessed for demographic characteristics such as age and gender, smoking and family history of OSCC as well as tumor features including location, differentiation, stage and lymph node involvement. In this study, 58 patients (58%) were male and 42 (42%) female. The mean age of patients was 60.38±14.07 years. The average number of lymph nodes involved was 8.9±3.8. Tumoral grade, tumoral stage, lymphatic metastasis and history of smoking were significantly related to MMP2 and MMP9 expression. Our study demonstrated that MMP2 and MMP9 expression are important in the development of OSCC.