Literature DB >> 24139209

Characteristic tumor growth patterns as novel histomorphologic predictors for lymph node metastasis in papillary thyroid carcinoma.

Yoon Yang Jung1, Chung Hun Lee, So Yeon Park, Hyo Jin Park, Hye Sook Min, Jae Kyung Won, Byung Seup Kim, Han Suk Ryu.   

Abstract

The aim of this study was to investigate the efficaciousness of histological tumor growth patterns in the prediction of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC). All combinations of infiltrative tumor border, lateral tubular growth, and intraglandular dissemination were assessed for their ability to predict LNM in 229 patients. In addition, we analyzed their predictive value within subgroups based on the tumor size and number of tumor nodules. Each tumor growth pattern was significantly associated with LNM, as 11 of the 12 combinations of these 3 patterns were found to be independently predictive of LNM (P < .05). Similar results were observed in both univariate and multivariate logistic regression analyses of PTCs, grouped according to the tumor size and number of tumor nodules. This study has shown that histological features suggestive of invasive tumor growth, including infiltrative tumor border and lateral tubular growth, may be used as independent predictive factors of LNM in PTC, and can improve treatment and follow-up strategies for PTC.
© 2013.

Entities:  

Keywords:  Intraglandular dissemination; Lateral tubular growth; Lymph node metastasis; Papillary thyroid carcinoma

Mesh:

Substances:

Year:  2013        PMID: 24139209     DOI: 10.1016/j.humpath.2013.07.025

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  7 in total

1.  Prediction of cervical lymph node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound, strain elastography, and acoustic radiation force impulse (ARFI) elastography.

Authors:  Jun-Mei Xu; Xiao-Hong Xu; Hui-Xiong Xu; Yi-Feng Zhang; Le-Hang Guo; Lin-Na Liu; Chang Liu; Xiao-Wan Bo; Shen Qu; Mingzhao Xing; Xiao-Long Li
Journal:  Eur Radiol       Date:  2015-11-11       Impact factor: 5.315

2.  Histopathological Evidence of Lymph Node Metastasis in Papillary Thyroid Carcinoma.

Authors:  Nuray Can; Ebru Tastekin; Filiz Ozyilmaz; Yavuz Atakan Sezer; Sibel Guldiken; Necdet Sut; Nurtac Sarikas; Fulya Oz Puyan; Beril Guler; Semra Ayturk; Mehmet Celik
Journal:  Endocr Pathol       Date:  2015-09       Impact factor: 3.943

3.  Ultrasound Echogenicity of Papillary Thyroid Cancer Is Affected by Tumor Growth Patterns and Tumor Fibrosis.

Authors:  Yun-Sung Lim; Yoon Se Lee; Jin-Choon Lee; Seok-Man Son; Dong-Hoon Shin; Sang Soo Kim; In-Ju Kim; Byung-Joo Lee
Journal:  In Vivo       Date:  2021 May-Jun       Impact factor: 2.406

4.  Tumor sprouting in papillary thyroid carcinoma is correlated with lymph node metastasis and recurrence.

Authors:  Eunjung Lee; Wonkyung Jung; Jeong-Soo Woo; Jae Bok Lee; Bong Kyung Shin; Han Kyeom Kim; Aeree Kim; Baek-Hui Kim
Journal:  Korean J Pathol       Date:  2014-04-28

5.  Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.

Authors:  Yoon Yang Jung; Chang Lim Hyun; Min-Sun Jin; In Ae Park; Yul Ri Chung; Bobae Shim; Kyu Ho Lee; Han Suk Ryu
Journal:  J Breast Cancer       Date:  2016-09-23       Impact factor: 3.588

6.  Association Between Preoperative US, Elastography Features and Prognostic Factors of Papillary Thyroid Cancer With BRAFV600E Mutation.

Authors:  Jun-Mei Xu; Yong-Jun Chen; Yuan-Yuan Dang; Man Chen
Journal:  Front Endocrinol (Lausanne)       Date:  2020-01-22       Impact factor: 5.555

7.  A Risk Model for Predicting Central Lymph Node Metastasis of Papillary Thyroid Microcarcinoma Including Conventional Ultrasound and Acoustic Radiation Force Impulse Elastography.

Authors:  Jun-Mei Xu; Hui-Xiong Xu; Xiao-Long Li; Xiao-Wan Bo; Xiao-Hong Xu; Yi-Feng Zhang; Le-Hang Guo; Lin-Na Liu; Shen Qu
Journal:  Medicine (Baltimore)       Date:  2016-01       Impact factor: 1.817

  7 in total

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