Predicting Non-Sentinel Lymph Node Status After Positive Sentinel Biopsy in Breast Cancer: What Model Performs the Best in a Czech Population?

Coufal, Oldřich; Pavlík, Tomáš; Fabián, Pavel; Bori, Rita; Boross, Gábor; Sejben, István; Maráz, Róbert; Koča, Jaroslav; Krejčí, Eva; Horáková, Iva; Foltinová, Vendula; Vrtělová, Pavlína; Chrenko, Vojtěch; Tekle, Wolde Eliza; Rajtár, Mária; Svébis, Mihály; Fait, Vuk; Cserni, Gábor

doi:10.1007/s12253-009-9177-6

Cited by 56 publications

(47 citation statements)

References 28 publications

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“…However, the variables with no proven statistical significance contribute to the predictive power of the model. The same conclusion has been drawn when constructing MSKCC [17] and MOU [19] models.…”

Section: Discussionsupporting

confidence: 71%

“…However, other papers suggest the risk estimation given by the model helps (better than expert opinion) to decide the relevance of completion of axillary dissection [18]. The characteristics of this and other models are summarized in table 1 [16][17][18][19][20].…”

Section: Discussionmentioning

confidence: 99%

“…Based on this knowledge, various mathematical models have been constructed. They calculate either the risk of any axillary lymph node involvement in early breast cancer [16], or try to predict the occurrence of metastasis in additional node(s) in the case of the sentinel lymph node being affected [17][18][19][20]; the overview of the characteristics of these models is given in table 1.…”

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confidence: 99%

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Predicting axillary sentinel node status in patients with primary breast cancer.

Kolařík

Pecha²,

Skovajsová³

et al. 2013

neo

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The aim of this study is to determine the combination of characteristics in early breast cancer that could estimate the risk of occurrence of metastatic cells in axillary sentinel lymph node(s). If we were able to reliably predict the presence or absence of axillary sentinel involvement, we could spare a considerable proportion of patients from axillary surgery without compromising therapeutic outcomes of their disease. The study is based on retrospective analysis of medical records of 170 patients diagnosed with primary breast cancer. These women underwent primary surgery of the breast and axilla in which at least one sentinel lymph node was obtained. Logistic regression has been employed to construct a model predicting axillary sentinel lymph node involvement using preoperative and postoperative tumor characteristics. Postoperative model uses tumor features obtained from definitive histology samples. Its predictive capability expressed by receiver operating characteristic curve is good, area under curve (AUC) equals to 0.78. The comparison between preoperative and postoperative results showed the only significant differences in values of histopathological grading; we have considered grading not reliably stated before surgery. In preoperative model only the characteristics available and reliably stated at the time of diagnoses were used. The predictive capability of this model is only fair when using the data available at the time of diagnosis (AUC = 0.66). We conclude, that predictive models based on postoperative values enable to reliably estimate the likelihood of occurrence of axillary sentinel node(s) metastases. This can be used in clinical practice in case surgical procedure is divided into two steps, breast surgery first and axillary surgery thereafter. Even if preoperative values were not significantly different from postoperative ones (except for grading), the preoperative model predictive capability is lower compared to postoperative values. The reason for this worse prediction was identified in imperfect preoperative diagnostic.

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Section: Discussionsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Predicting axillary sentinel node status in patients with primary breast cancer.

Kolařík

Pecha²,

Skovajsová³

et al. 2013

neo

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“…To avoid performing ALND for non-SLN-negative patients with SLN-positive axilla, nomograms and scoring systems for predicting the status of the axillary non-SLNs have been developed in many centers (Van Zee et al, 2003;Degnim et al, 2005;Smidt et al, 2005;Chapgar et al, 2006;Pal et al, 2008;Alran et al, 2007;Kohrt et al, 2008;Cho et al, 2008;Coufal et al, 2009;Gur et al, 2010;Perhavec et al, 2010;Lombardi, et al, 2011;Mittendorf et al, 2012;Meretoja et al, 2012;Derici et al, 2012). Many studies have tested these models and have obtained varying results (Van Zee et al, 2003;Kocsis et al, 2004;Degnim et al, 2005;Soni et al, 3 2005; Lambert et al, 2006;Ponzone et al, 2007;Pal et al, 2008;Kohrt et al, 2008;Cho et al, 2008;Klar et al, 2008;Poirier et al, 2008;Coufal et al, 2009;Coutant et el., 2009;Scow et al, 2009;Gur et al, 2010;Moghaddam et al, 2010;Hessman et al, 2011;Hidar et al, 2011;Lombardi et al, 2011;Tan et al, 2011;Derici et al, 2012;Chen et al, 2012;Zhu et al, 2012;Sasada et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

A Breast Cancer Nomogram for Prediction of Non-Sentinel Node Metastasis - Validation of Fourteen Existing Models

Koca

Kuru²,

Özen³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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“…Bols ter et al and Co u fal et al sta ted that the in ciden ce of n-SLN me tas ta ses was re la ted to the si ze of the SLN me tas ta ses. 18,19 The re sults of a number of stu di es in the li te ra tu re indicate a di rect relationship bet we en SLN me tas ta sis and age, pri mary tumor di a me ter, lympha tic in va si on and ve no us/vascu lar in va si on. 20,21 Tur ner et al sta ted that pri mary tu mor di a me ter indicated a high risk for SLN me tasta sis.…”

Section: Discussionmentioning

confidence: 99%

Histopathologic Characteristics of Sentinel Lymph Node Biopsy in Breast Carcinoma: Uludağ University Faculty of Medicine Experience

Elezoğlu¹,

Tolunay²,

Taşdelen³

et al. 2011

Turkiye Klinikleri J Med Sci

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A AB BS S T TR RA AC CT T O Ob b j je ec c t ti i v ve e: : No wa days, sen ti nel lymph no de (SLN) bi opsy is a stan dard ap pro ach giving information abo ut sta tus of the axil lary lymph no des. Se ve ral fac tors af fect me tas ta sis to SLN. In our ca se, we aimed to in dica te his to pat ho lo gi cal pa ra me ters that af fect SLN and non-sen ti nel lymph no de (n-SLN) me tas ta sis, the im portan ce of fro zen sec ti on to de ter mi ne me tas ta sis and im mu no his toc he mistry met hod for his to pat ho lo gi cal exa mi na ti ons. M Ma a t te e r ri i a al l a an nd d M Me et t h ho od ds s: : In Ulu dag Uni ver sity Fa culty of Me di ci ne, 265 ca ses who had SLN bi op sies we re ret ros pec ti vely exa mi ned. Fro zen sec ti ons, per ma nent sec ti ons and sec ti ons with im mu no his toc he mistry we re fo und out from the arc hi e ve. Then, pre pa ra ti ons we re re-exa mi ned by ex pert pat ho lo gists on bre ast pat hology. R Re e s su ul lt ts s: : The me an age of the ca ses was 53 ye ars. The most frequently ob ser ved tu mor type was in va si ve ductal car ci no ma. Most of the ca ses ha d nuc le ar gra de 2. One hundred ca ses are di ag no sed as ma lig nant. As a re sult of imp le men ta ti on of se ri al sec ti ons and im mu no his toc he mistry to 12 ca ses wit ho ut me tas ta sis, mac ro-me tas tasis in four ca ses, mic ro-me tas ta sis in six ca ses and fi nally iso la ted tu mo ur cells in two ca ses we re de ter mi ned. In pri mary bre ast tu mor, the pre sen ce of ve no us/vas cu lar in va si on (p= 0.021), lympha tic in va si on (p< 0.001), in crea sed pri mary tu mor di a me ter (p= 0.001) and in cre a sed age (p= 0.026) increased SLN me tas ta sis. In pri mary breast tu mor, the pre sen ce of pe ri ne u ral in va si on (p= 0.033) and lympha tic in va si on (p= 0.045), in cre a sed tu mor di a me ter (p= 0.001), and in cre a sed num ber of po si ti ve SLNs (p= 0.015) ca u sed an in cre a se in n-SLN me tas ta sis. C Co on nc c l lu u s si i o on n: : SLN bi opsy is a simp le and re li ab le met hod. In our study, we fo und sta tis ti cally significant re sults bet we en SLN me tas ta sis and age, pri mary tu mor di a me ter, lympha tic in va si on and ve no us/vas cu lar in va si on. Be sides, sta tis ti cally sig ni fi cant re la ti ons hips were fo und bet we en n-SLN me tas ta sis and pri mary tu mor di a me ter, pe ri ne u ral in va si on and lympha tic in va si on as well. In tra o pe ra ti ve analy sis of SLN is very important for sta ging of bre ast car ci no ma and prog no sis. Mo re o ver, ac cu racy of di ag no sis in cre a ses with the app li ca ti ons of se ri al secti on and im mu no his toc he mi cal met hod. K Ke ey y W Wo or rd ds s: : Sen ti nel lymph no de bi opsy; bre ast ne op lasms; pat ho logy Ö ÖZ ZE ET T A Am ma aç ç: : Gü nü müz de sen ti nel lenf no du (SLN) bi yop si si ak sil ler lenf nod la rı nın du ru mu hak kın da bil gi ve ren stan dart bir yak la şım dır. SLN me tas ta zı nı çe şit li fak tör ler et ki ler. Ya zı mız da, SLN ve non sentinel lenf n...

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Predicting Non-Sentinel Lymph Node Status After Positive Sentinel Biopsy in Breast Cancer: What Model Performs the Best in a Czech Population?

Cited by 56 publications

References 28 publications

Predicting axillary sentinel node status in patients with primary breast cancer.

Predicting axillary sentinel node status in patients with primary breast cancer.

A Breast Cancer Nomogram for Prediction of Non-Sentinel Node Metastasis - Validation of Fourteen Existing Models

Histopathologic Characteristics of Sentinel Lymph Node Biopsy in Breast Carcinoma: Uludağ University Faculty of Medicine Experience

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