Cancer Research and Treatment

Predicting three or more metastatic nodes using contrast-enhanced lymphatic US findings in early breast cancer

Zihan Niu, Yunxia Hao, Yuanjing Gao, Jing Zhang, Mengsu Xiao, Feng Mao, Yidong Zhou, Ligang Cui, Yuxin Jiang, Qingli Zhu

Gail model and fifth edition of ultrasound BI‐RADS help predict axillary lymph node metastasis in breast cancer—A multicenter prospective study

Lu‐Ying Gao, Hai‐Tao Ran, You‐Bin Deng, Bao‐Ming Luo, Ping Zhou, Wu Chen, Yu‐Hong Zhang, Jian‐Chu Li, Hong‐Yan Wang, Yu‐Xin Jiang

Asia-Pacific Journal of Clinical Oncology.2023;[Epub] CrossRef

Nomogram based on multiparametric analysis of early‐stage breast cancer: Prediction of high burden metastatic axillary lymph nodes

Ling Li, Jing Zhao, Yu Zhang, Zhanyu Pan, Jin Zhang

Stratification of axillary lymph node metastasis risk with breast MRI in breast cancer

Jieying Chen, Xiaolian Su, Tingting Xu, Qifeng Luo, Lin Zhang, Guangyu Tang

ACR Appropriateness Criteria® Imaging of the Axilla

Huong T. Le-Petross, Priscilla J. Slanetz, Alana A. Lewin, Jean Bao, Elizabeth H. Dibble, Mehra Golshan, Jessica H. Hayward, Charlotte D. Kubicky, A. Marilyn Leitch, Mary S. Newell, Christine Prifti, Matthew F. Sanford, John R. Scheel, Richard E. Sharpe,

Journal of the American College of Radiology.2022; 19(5): S87. CrossRef

Avoiding unnecessary intraoperative sentinel lymph node frozen section biopsy of patients with early breast cancer

Jongwon Kang, Tae-Kyung Yoo, Ahwon Lee, Jun Kang, Chang Ik Yoon, Bong Joo Kang, Sung Hun Kim, Woo Chan Park

Annals of Surgical Treatment and Research.2022; 102(5): 241. CrossRef

A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery

Young-Joon Kang, Jung Hyun Park, Young Wook Ju, Kyoung-Eun Kim, Yumi Kim, Eunshin Lee, Han-Byoel Lee, Dong-Young Noh, Wonshik Han

Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer

Angela Lombardi, Nicola Amoroso, Loredana Bellantuono, Samantha Bove, Maria Colomba Comes, Annarita Fanizzi, Daniele La Forgia, Vito Lorusso, Alfonso Monaco, Sabina Tangaro, Francesco Alfredo Zito, Roberto Bellotti, Raffaella Massafra

Is Routine Intraoperative Frozen Section Analysis of Sentinel Lymph Nodes Necessary in Every Early-Stage Breast Cancer?

Bhoowit Lerttiendamrong, Nattanan Treeratanapun, Voranaddha Vacharathit, Kasaya Tantiphlachiva, Phuphat Vongwattanakit, Sopark Manasnayakorn, Mawin Vongsaisuwon

Breast Cancer: Targets and Therapy.2022; Volume 14: 281. CrossRef

Predictive nomogram based on serum tumor markers and clinicopathological features for stratifying lymph node metastasis in breast cancer

Sheng-Kai Geng, Shao-Mei Fu, Hong-Wei Zhang, Yi-Peng Fu

Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI

Su Min Ha, Jung Min Chang, Soo-Yeon Kim, Su Hyun Lee, Eun Sil Kim, Yeon Soo Kim, Nariya Cho, Woo Kyung Moon

Breast Cancer Research and Treatment.2021; 186(2): 463. CrossRef

Predicting of Sentinel Lymph Node Status in Breast Cancer Patients with Clinically Negative Nodes: A Validation Study

Annarita Fanizzi, Domenico Pomarico, Angelo Paradiso, Samantha Bove, Sergio Diotaiuti, Vittorio Didonna, Francesco Giotta, Daniele La Forgia, Agnese Latorre, Maria Irene Pastena, Pasquale Tamborra, Alfredo Zito, Vito Lorusso, Raffaella Massafra

Sentinel Lymph Node Metastasis on Clinically Negative Patients: Preliminary Results of a Machine Learning Model Based on Histopathological Features

Annarita Fanizzi, Vito Lorusso, Albino Biafora, Samantha Bove, Maria Colomba Comes, Cristian Cristofaro, Maria Digennaro, Vittorio Didonna, Daniele La Forgia, Annalisa Nardone, Domenico Pomarico, Pasquale Tamborra, Alfredo Zito, Angelo Virgilio Paradiso,

The new perspective of PET/CT for axillary nodal staging in early breast cancer patients according to ACOSOG Z0011 trial PET/CT axillary staging according to Z0011

Nuclear Medicine Communications.2021; 42(12): 1369. CrossRef

Clinical Value of Axillary Ultrasonography in Breast Cancer with Lymph Node Metastases

Jung Ho Park, Hyun Ryung Kim, Sanghwa Kim, Young Ah Lim, Kyoonsoon Jung, Lee Su Kim

Journal of Surgical Ultrasound.2021; 8(2): 41. CrossRef

Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?

V. Madekivi, P. Boström, A. Karlsson, R. Aaltonen, E. Salminen

External validation of a prognostic model based on total tumor load of sentinel lymph node for early breast cancer patients

Antonio Piñero-Madrona, Francisco Ripoll-Orts, José Ignacio Sánchez-Méndez, Asunción Chaves-Benito, Maximiliano Rodrigo Gómez-de la Bárcena, Ana Calatrava-Fons, Salomón Menjón-Beltrán, Vicente Peg-Cámara

Breast Cancer Research and Treatment.2020; 181(2): 339. CrossRef

Axillary Nodal Evaluation in Breast Cancer: State of the Art

Jung Min Chang, Jessica W. T. Leung, Linda Moy, Su Min Ha, Woo Kyung Moon

Can We Identify or Exclude Extensive Axillary Nodal Involvement in Breast Cancer Patients Preoperatively?

Martijn Leenders, Gaëlle Kramer, Kamar Belghazi, Katya Duvivier, Petrousjka van den Tol, Hermien Schreurs

Computer-aided prediction model for axillary lymph node metastasis in breast cancer using tumor morphological and textural features on ultrasound

Woo Kyung Moon, I-Ling Chen, Ann Yi, Min Sun Bae, Sung Ui Shin, Ruey-Feng Chang

Computer Methods and Programs in Biomedicine.2018; 162: 129. CrossRef

The Evolution of the Current Indications for Sentinel Lymph Node Biopsy in Breast Cancer

Hellenic Journal of Surgery.2018; 90(4): 186. CrossRef

Axillary Lymph Node to Primary Breast Tumor Standardized Uptake Value Ratio from FDG-PET/CT Imaging for Predicting the Necessity for Nodal Dissection in Primary Breast Tumors

Han-kyul Shin, Min Kyoon Kim, Sung Jun Park, Ju Won Seok, Hee-Chul Shin

Journal of Breast Disease.2017; 5(2): 76. CrossRef