Journals / The Journal of Breast Health / 2015 / Cilt: 11 - Sayı: 4

Evaluation of the Probability of Non-sentinel Lymph Node Metastasis in Breast Cancer Patients with Sentinel Lymph Node Metastasis using Two Different Methods

Sentinel Lenf Nodu Metastazı Olan Meme Kanserli Hastalarda Sentinel Dışı Lenf Nodu Metastaz Olasılığının İki Farklı Model ile Retrospektif Değerlendirilmesi

Pages
172–179
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Nevertheless, the omission of ALNB in SLNB-positive breast cancer cannot be yet recommended because of the lack of long-term results of current nomograms and scoring systems.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: The aim of this retrospective clinical study was to evaluate the accuracy and feasibility of two different clinical scales, namely the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram and Tenon’s axillary scoring system, which were developed for predicting the non-sentinel lymph node (NSLN) status in our breast cancer patients.
📊
Key Findings & Data:Material and Methods: The medical records of patients who were diagnosed with breast cancer between January 2010 and November 2013 were reviewed.
💡
Conclusion & Impact:Nevertheless, the omission of ALNB in SLNB-positive breast cancer cannot be yet recommended because of the lack of long-term results of current nomograms and scoring systems.
🔬Design:Review & Systematic Survey
📍Scope:2010 Verileri
⚙️Variables:Domain Parameters

Abstract

Objective: The aim of this retrospective clinical study was to evaluate the accuracy and feasibility of two different clinical scales, namely the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram and Tenon’s axillary scoring system, which were developed for predicting the non-sentinel lymph node (NSLN) status in our breast cancer patients. Material and Methods: The medical records of patients who were diagnosed with breast cancer between January 2010 and November 2013 were reviewed. Those who underwent sentinel lymph node biopsy (SLNB) for axillary staging were recruited for the study, and patients who were found to have positive SLNB and thus were subsequently subjected to axillary lymph node dissection (ALND) were also included. Patients who had neoadjuvant therapy, who had clinically positive axilla, and who had stage 4 disease were excluded. Patients were divided into two groups. Group 1 included those who had negative NSLNs, whereas Group 2 included those who had positive NSLNs. The following data were collected: age, tumor size, histopathological characteristics of the tumor, presence of lymphovascular invasion, presence of multifocality, number of negative and positive NSLNs, size of metastases, histopathological method used to define metastases, and receptor status of the tumor. The score of each patient was calculated according to the MSKCC nomogram and Tenon’s axillary scoring system. Statistical analysis was conducted to investigate the correlation between the scores and the involvement of NSLNs. Results: The medical records of patients who were diagnosed with breast cancer and found to have SLNB for axillary staging was reviewed. Finally, 50 patients who had positive SLNB and thus were subsequently subjected to ALND were included in the study. There were 17 and 33 patients in Groups 1 and 2, respectively. Both the MSKCC nomogram and Tenon’s axillary scoring system were demonstrated to be significantly accurate in the prediction of the involvement of NSLNs (p<0.05 for each). Among all the parameters, the only one that was found to be correlated with the risk of NSLN involvement was the presence of lymphovascular invasion. Conclusion: The MSKCC nomogram and Tenon’s axillary scoring system both seem to be reliable tools for the assessment of NSLN status in SLNB-positive breast cancer in our breast cancer population. Nevertheless, the omission of ALNB in SLNB-positive breast cancer cannot be yet recommended because of the lack of long-term results of current nomograms and scoring systems.

Özet

Amaç: Retrospektif klinik çalışmamızda sentinel dışı lenf nodu (SDLN) metastaz riskini hesaplamak için geliştirilen Memorial Sloan-Kettering Cancer Center (MSKCC) nomogramı ve Tenon aksilla skorlama sisteminin meme kanserli hastalarımızda kullanılabilirliklerinin ve doğruluklarının de- ğerlendirilmesi amaçlandı. Yöntem ve Gereçler: Hastanemizde Ocak 2010 - Ekim 2013 tarihleri arasında meme kanseri tanısıyla ameliyat edilen ve sentinel lenf nodu biyopsisi (SLNB) yapılmış hastaların dosyaları retrospektif olarak incelendi. SLNB pozitif olan ve aksiller lenf nod diseksiyonu (ALND) yapılan hastalar çalışmaya dahil edildi. Neoadjuvan tedavi alan, aksillada palpe edilebilen lenf nodu olan ve evre 4 hastalığı olan hastalar çalışmaya dahil edilmedi. Sentinel dışı lenf nodu (SDLN) negatif (Grup 1) ve SDLN pozitif hasta (Grup 2) olmak üzere iki grup tanımlandı. Hastaların yaşı, tümör çapı ve histolojisi, gradei, lenfatik invazyon varlığı, multifokalite varlığı, metastaz olan sentinel lenf nodu (SLN) sayısı ve metastaz olmayan SLN sayısı, SLNdeki metastazın büyüklüğü, SLNdeki metastazın patolojik saptama yöntemi ve reseptör durumu kaydedildi. Her bir hasta için SDLN metastaz riski MSKCC nomogramı ve Tenon aksilla skorlama sistemi ile hesaplandı. Risk skorları ile SDLN tutulumu arasındaki ilişki istatiksel olarak araştırıldı. Bulgular: Meme kanseri tanısı alan ve aksiller evreleme için SLNB yapılan hastaların dosyaları retrospektif olarak incelendi. SLNB pozitif olup ALND yapılan 50 hasta çalışmaya dahil edildi. Grup 1de 17 hasta, Grup 2de 33 hasta mevcuttu. Memorial Sloan-Kettering Cancer Center Nomogramı ve Tenon aksilla skorlama sisteminin SDLN tutulumunun tahmininde istatistiksel olarak anlamlı uygun modeller oldukları görüldü (p<0,05). Lenfovasküler invazyon varlığının tüm parametreler arasında SDLN tutulumunu etkileyen tek parametre olduğu görüldü. Sonuç: MSKCC nomogramı ve Tenon aksilla skorlama sisteminin SLNB pozitif meme kanserli hasta popülasyonumuzda SDLN metastaz riskinin değerlendirilmesinde kullanılabilir modeller oldukları görülmektedir. Bununla birlikte SLNB pozitif meme kanserli hastalarda ALNDnin terk edilmesi, nomogram ve skorlama sistemlerinin uzun dönem sonuçları bilinmediği için henüz önerilmemektedir.

🔖

Cite This Article

BAŞOĞLU, İ., ÇELİK, M. F., DURAL, A. C., ÜNSAL, M. G., AKARSU, C., BAYTEKİN, H. F., KAPAN, S., ALIŞ, H. (2015). Evaluation of the Probability of Non-sentinel Lymph Node Metastasis in Breast Cancer Patients with Sentinel Lymph Node Metastasis using Two Different Methods. The Journal of Breast Health, Cilt: 11 - Sayı: 4, 172–179. https://ajindex.com/articles/362662

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (3)

  1. http://globocan.iarc.fr/Pages/fact_sheets_cancer.aspx 2.
  2. Ünsal MG, Dural AC, Çelik MF, Akarsu C, Başoğlu İ, Dilege ME, Kapan S, Alış H. The adaptation process of a teaching and research hospital to changing trends in modern breast surgery. Ulus Cerrahi Derg 2014; 31:34-38. (PMID: 25931942
  3. Sasada T, Kataoka T, Shigematsu H, Masumoto N, Kadoya T, Okada M Ohdan H. Three models for predicting the risk of non-sentinel lymph node metastasis in Japanese breast cancer patients. Breast Cancer. 2014; 21:571-575. (PMID: 23307473) [CrossRef] 5. Kuo YL, Chen WC, Yao WJ, Cheng L, Hsu HP, Lai HW, Kuo SJ, Chen DR, Chang TW. Validation of Memorial Sloan Kettering Cancer Center nomogram for prediction of non-sentinel lymph node metastasis in sentinel lymph node positive breast cancer patients an international comparison. Int J Surg 2013; 11:538-543. (PMID: 23707626) [CrossRef] 6. Giuliano AE, Kirgan DM, Guenther JM, Morton DL. Lymphatic mapping and sentinel lymphadenectomy for breast cancer. Ann Surg 1994; 220:391-398. (PMID: 8092905) [CrossRef] 7. Barranger E, Coutant C, Flahault A, Delpech Y, Darai E, Uzan S. An axilla scoring system to predict non-sentinel lymph node status in breast cancer patients with sentinel lymph node involvement. Breast Cancer Res Treat 2005; 91:113-119 (PMID: 15868438) [CrossRef ] 8. Van Zee KJ, Manasseh DM, Bevilacqua JL, Boolbol SK, Fey JV, Tan LK, Borgen PI, Cody HS 3rd, Kattan MW. A nomogram for predicting the likelihood of additional nodal metastases in breast cancer patients with a positive sentinel node biopsy. Ann Surg Oncol 2003; 10:1140-1151. (PMID: 14654469) [CrossRef] 9. Weaver DL. Pathological evaluation of sentinel lymph nodes in breast cancer: a practical academic perspective from America. Histopathology 2005; 46:702-706. (PMID: 15910603) [CrossRef] 10. Pal A, Provenzano E, Duffy SW, Pinder SE, Purushotham AD. A model for predicting non-sentinel lymph node metastatic disease when the sentinel lymph node is positive. Br J Surg 2008; 95:302-309. (PMID: 17876750) [CrossRef] 11. Kohrt HE, Olshen RA, Bermas HR, Goodson WH, Wood DJ, Henry S, Rouse RV, Bailey L, Philben VJ, Dirbas FM, Dunn JJ, Johnson DL, Wapnir IL, Carlson RW, Stockdale FE, Hansen NM, Jeffrey SS; Bay Area SLN Study. New models and online calculator for predicting non-sentinel lymph node status in sentinel lymph node positive breast cancer patients. BMC Cancer 2008; 8:66. (PMID: 18315887) [Cr