Preoperative Nodal US Features for Predicting Recurrence in N1b Papillary Thyroid Carcinoma.

Cancers (Basel)

Department of Radiology, Gangnam Severance Hospital, College of Medicine, Yonsei University, Seoul 06273, Korea.

Published: December 2021

This study aimed to investigate whether preoperative ultrasonographic (US) features of metastatic lymph nodes (LNs) are associated with tumor recurrence in patients with N1b papillary thyroid carcinoma (PTC). We enrolled 692 patients (mean age, 41.9 years; range, 6-80 years) who underwent total thyroidectomy and lateral compartment LN dissection between January 2009 and December 2015 and were followed-up for 12 months or longer. Clinicopathologic findings and US features of the index tumor and metastatic LNs in the lateral neck were reviewed. A Kaplan-Meier analysis and Cox proportion hazard model were used to analyze the recurrence-free survival rates and features associated with postoperative recurrence. Thirty-seven (5.3%) patients had developed recurrence at a median follow-up of 66.5 months. On multivariate Cox proportional hazard analysis, male sex (hazard ratio [HR], 2.277; 95% confidence interval [CI]: 1.131, 4.586; = 0.021), age ≥55 years (HR, 3.216; 95% CI: 1.529, 6.766; = 0.002), LN size (HR, 1.054; 95% CI: 1.024, 1.085; < 0.001), and hyperechogenicity of LN (HR, 8.223; 95% CI: 1.689, 40.046; = 0.009) on US were independently associated with recurrence. Preoperative US features of LNs, including size and hyperechogenicity, may be valuable for predicting recurrence in patients with N1b PTC.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750311PMC
http://dx.doi.org/10.3390/cancers14010174DOI Listing

Publication Analysis

Top Keywords

predicting recurrence
8
n1b papillary
8
papillary thyroid
8
thyroid carcinoma
8
recurrence patients
8
patients n1b
8
recurrence
6
features
5
preoperative nodal
4
nodal features
4

Similar Publications

Background: BERIL-1 was a randomized phase 2 study that studied paclitaxel with either buparlisib, a pan-class I PIK3 inhibitor, or placebo in patients with recurrent or metastatic (R/M) head and neck squamous cell cancer (HNSCC). Considering the therapeutic paradigm shift with immune checkpoint inhibitors (ICIs) now approved in the first-line setting, we present an updated immunogenomic analysis of patients enrolled in BERIL-1, including patients with immune-infiltrated tumors.

Objective: The objective of this study was to identify biomarkers predictive of treatment efficacy in the context of the post-ICI therapeutic landscape.

View Article and Find Full Text PDF

Pancreatic ductal adenocarcinoma (PDAC) is projected to be the second leading cause of cancer-related death by 2030. Early identification is rare, with a 5-year overall survival (OS) of less than 10%. Advances in the understanding of PDAC tumor biology are needed to improve these outcomes.

View Article and Find Full Text PDF

Although sialoblastoma (SBL) is defined as a low-grade malignant salivary gland anlage neoplasm in the 2022 World Health Organization (WHO) Classification of Head and Neck Tumors, its histology, genetics, and behavior remain controversial due to the rarity of the tumor. Here, we performed the first comprehensive clinical, histologic, and molecular analyses of 8 SBLs to better understand their pathogenesis and prognosis. This cohort consisted of 5 boys and 3 girls, with ages ranging from birth to 9 years at diagnosis.

View Article and Find Full Text PDF

Introduction: A positive surgical margin (R1 resection) is a relevant risk factor for local recurrence in patients with pancreatic ductal adenocarcinoma of the pancreas (PDAC). An intraoperative liquid biopsy (ILB) based on tumor cell mobilization could help to detect R1 resection intraoperatively.

Objective: To evaluate the potential role of the intraoperative circulating tumor cells (CTCs) and cluster mobilization on the R0/R1 detection.

View Article and Find Full Text PDF

Background: Extrapancreatic perineural invasion (EPNI) increases the risk of postoperative recurrence in pancreatic ductal adenocarcinoma (PDAC). This study aimed to develop and validate a computed tomography (CT)-based, fully automated preoperative artificial intelligence (AI) model to predict EPNI in patients with PDAC.

Methods: The authors retrospectively enrolled 1065 patients from two Shanghai hospitals between June 2014 and April 2023.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!