Tumor border pattern and size help predict lymph node status in papillary microcarcinoma: A clinicopathologic study-Reference-Cited by-同舟云学术

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Tumor border pattern and size help predict lymph node status in papillary microcarcinoma: A clinicopathologic study

Published:2020-10 Issue: Volume:48 Page:151592
ISSN:1092-9134
Container-title:Annals of Diagnostic Pathology
language:en
Short-container-title:Annals of Diagnostic Pathology

Author:

Taşkın Orhun Çığ,Armutlu Ayşe,Ağcaoğlu Orhan,Peker Önder,Terzioğlu Tarık,Demirkol Mehmet Onur,Tezelman Serdar,Kapran Yersu

Publisher

Elsevier BV

Subject

General Medicine,Pathology and Forensic Medicine

Reference43 articles.

1. Systematic review of trends in the incidence rates of thyroid cancer;Wiltshire;Thyroid,2016

2. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012;Ferlay;Int J Cancer,2015

3. WHO classification of tumours of the endocrine organs;Lloyd,2017

4. Controversies in papillary microcarcinoma of the thyroid;Piersanti;Endocr Pathol,2003

5. Increasing incidence of thyroid cancer in the United States, 1973–2002;Davies;JAMA,2006

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1. Application of convolutional neural network for differentiating ovarian thecoma-fibroma and solid ovarian cancer based on MRI;Acta Radiologica;2024-05-15

2. A nomogram based on clinicopathological and ultrasound characteristics to predict central neck lymph node metastases in papillary thyroid cancer;Frontiers in Endocrinology;2024-02-12

3. Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images;Modern Pathology;2023-12

4. Ultrasonic Feature Prediction of Large-Number Central Lymph Node Metastasis in Clinically Node-Negative Solitary Papillary Thyroid Carcinoma;Endocrine Research;2023-08-22

5. Discriminating Between Benign and Malignant Solid Ovarian Tumors Based on Clinical and Radiomic Features of MRI;Academic Radiology;2023-05

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