Cancer Research and Treatment

Soo Kyung Ahn

2 Articles

Can We Skip Intraoperative Evaluation of Sentinel Lymph Nodes? Nomogram Predicting Involvement of Three or More Axillary Lymph Nodes before Breast Cancer Surgery: Soo Kyung Ahn, Min Kyoon Kim, Jongjin Kim, Eunshin Lee, Tae-Kyung Yoo, Han-Byoel Lee, Young Joon Kang, Jisun Kim, Hyeong-Gon Moon, Jung Min Chang, Nariya Cho, Woo Kyung Moon, In Ae Park, Dong-Young Noh, Wonshik Han; Cancer Res Treat. 2017;49(4):1088-1096. Published online January 25, 2017; DOI: https://doi.org/10.4143/crt.2016.473

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Purpose
The American College of Surgeons Oncology Group Z0011 trial reported that complete dissection of axillary lymph nodes (ALNs) may not be warranted in women with clinical T1-T2 tumors and one or two involved ALNs who were undergoing lumpectomy plus radiation followed by systemic therapy. The present study was conducted to identify preoperative imaging predictors of ≥ 3 ALNs.
Materials and Methods
The training set consisted of 1,917 patients with clinical T1-T2 and node negative invasive breast cancer. Factors associated with ≥ 3 involved ALNs were evaluated by logistic regression analysis. The validation set consisted of 378 independent patients. The nomogram was applied prospectively to 512 patients who met the Z0011 criteria.
Results
Of the 1,917 patients, 204 (10.6%) had ≥ 3 positive nodes. Multivariate analysis showed that involvement of ≥ 3 nodes was significantly associated with ultrasonographic and chest computed tomography findings of suspicious ALNs (p < 0.001 each). These two imaging criteria, plus patient age, were used to develop a nomogram calculating the probability of involvement of ≥ 3 ALNs. The areas under the receiver operating characteristic curve of the nomogram were 0.852 (95% confidence interval [CI], 0.820 to 0.883) for the training set and 0.896 (95% CI, 0.836 to 0.957) for the validation set. Prospective application of the nomogram showed that 60 of 512 patients (11.7%) had scores above the cut-off. Application of the nomogram reduced operation time and cost, with a very low re-operation rate (1.6%).
Conclusion
Patients likely to have ≥ 3 positive ALNs could be identified by preoperative imaging. The nomogram was helpful in selective intraoperative examination of sentinel lymph nodes.

Citations

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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
Insights into Imaging.2024;[Epub] CrossRef
Individualized prediction of non-sentinel lymph node metastasis in Chinese breast cancer patients with ≥ 3 positive sentinel lymph nodes based on machine-learning algorithms
Xiangli Xie, Yutong Fang, Lifang He, Zexiao Chen, Chunfa Chen, Huancheng Zeng, Bingfeng Chen, Guangsheng Huang, Cuiping Guo, Qunchen Zhang, Jundong Wu
BMC Cancer.2024;[Epub] CrossRef
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
Thoracic Cancer.2023; 14(35): 3465. CrossRef
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
Future Oncology.2022; 18(15): 1849. CrossRef
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
Scientific Reports.2022;[Epub] CrossRef
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
Applied Sciences.2022; 12(14): 7227. CrossRef
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
BMC Cancer.2022;[Epub] CrossRef
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
Cancers.2021; 13(2): 352. CrossRef
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,
Applied Sciences.2021; 11(21): 10372. CrossRef
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
Eunjung Kong, Jungeun Choi
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
Acta Oncologica.2020; 59(6): 689. CrossRef
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
Radiology.2020; 295(3): 500. CrossRef
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
Journal of Oncology.2019; 2019: 1. CrossRef
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
Sofia E Triantafillidou
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

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Nomogram for Predicting Breast Conservation after Neoadjuvant Chemotherapy: Min Kyoon Kim, Wonshik Han, Hyeong-Gon Moon, Soo Kyung Ahn, Jisun Kim, Jun Woo Lee, Ju-Yeon Kim, Taeryung Kim, Kyung-Hun Lee, Tae-Yong Kim, Sae-Won Han, Seock-Ah Im, Tae-You Kim, In Ae Park, Dong-Young Noh; Cancer Res Treat. 2015;47(2):197-207. Published online September 4, 2014; DOI: https://doi.org/10.4143/crt.2013.247

Abstract PDF PubReader ePub

Purpose
The ability to accurately predict the likelihood of achieving breast conservation surgery (BCS) after neoadjuvant chemotherapy (NCT) is important in deciding whether NCT or surgery should be the first-line treatment in patients with operable breast cancers. Materials and Methods We reviewed the data of 513 women, who had stage II or III breast cancer and received NCT and surgery from a single institution. The ability of various clinicopathologic factors to predict the achievement of BCS and tumor size reduction to ≤ 3 cm was assessed. Nomograms were built and validated in an independent cohort. Results BCS was performed in 50.1% of patients, with 42.2% of tumors reduced to ≤ 3 cm after NCT. A multivariate logistic regression analysis showed that smaller initial tumor size, longer distance between the lesion and the nipple, absence of suspicious calcifications on mammography, and a single tumor were associated with BCS rather than mastectomy (p < 0.05). Negative estrogen receptor, smaller initial tumor size, higher Ki-67 level, and absence of in situ component were associated with residual tumor size ≤ 3 cm (p < 0.05). Two nomograms were developed using these factors. The areas under the receiver operating characteristic curves for nomograms predicting BCS and residual tumor ≤ 3 cm were 0.800 and 0.777, respectively. The calibration plots showed good agreement between the predicted and actual probabilities. Conclusion We have established a model with novel factors that predicts BCS and residual tumor size after NCT. This model can help in making treatment decisions for patients who are candidates for NCT.

Citations

Citations to this article as recorded by

Risk scoring system for predicting breast conservation after neoadjuvant chemotherapy
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Score for the Survival Probability in Metastasis Breast Cancer: A Nomogram-Based Risk Assessment Model
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Development of Nomogram to Predict the Best Military Category Using Physical Fitness Variables: A Model Development in Navy Trainees
Milad Nazarzadeh, Ali Reza Khoshdel, Abolfazl Goodarzi, Alireza Mosavi Jarrahi
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Predicting Successful Conservative Surgery after Neoadjuvant Chemotherapy in Hormone Receptor-Positive, HER2-Negative Breast Cancer
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Journal of Breast Disease.2018; 6(2): 52. CrossRef
External validation of a published nomogram for prediction of brain metastasis in patients with extra-cerebral metastatic breast cancer and risk regression analysis
Ludivine Genre, Henri Roché, Léonel Varela, Dorra Kanoun, Monia Ouali, Thomas Filleron, Florence Dalenc
European Journal of Cancer.2017; 72: 200. CrossRef
Facteurs prédictifs de traitement conservateur après chimiothérapie néo-adjuvante dans le cancer du sein
J. Pilloy, C. Fleurier, M. Chas, L. Bédouet, M.L. Jourdan, F. Arbion, G. Body, L. Ouldamer
Gynécologie Obstétrique Fertilité & Sénologie .2017; 45(9): 466. CrossRef
Actual Conversion Rate from Total Mastectomy to Breast Conservation after Neoadjuvant Chemotherapy for Stages II–III Breast Cancer Patients
Hyejin Mo, Yumi Kim, Jiyoung Rhu, Kyung-Hun Lee, Tae-Yong Kim, Seock-Ah Im, Eun-Shin Lee, Han-Byoel Lee, Hyeong-Gon Moon, Dong-Young Noh, Wonshik Han
Journal of Breast Disease.2017; 5(2): 51. CrossRef

14,521 View
101 Download
5 Web of Science
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