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Breast cancer-related lymphedema after axillary lymph node dissection: does early postoperative prediction model work?

Identifieur interne : 000A32 ( PubMed/Checkpoint ); précédent : 000A31; suivant : 000A33

Breast cancer-related lymphedema after axillary lymph node dissection: does early postoperative prediction model work?

Auteurs : Atilla Soran [États-Unis] ; Ebru Menekse [États-Unis] ; Mark Girgis [États-Unis] ; Lori Degore [États-Unis] ; Ronald Johnson [États-Unis]

Source :

RBID : pubmed:26349574

Descripteurs français

English descriptors

Abstract

Early detection and timely intervention demonstrate the greatest promise of reducing the incidence of late-stage lymphedema in breast cancer patients undergoing axillary lymph node dissection (ALND). A nomogram was developed for predicting the risk of lymphedema (LE) in patients with ALND. This study's aim was to test the early postoperative prediction model for the diagnosis of clinical and subclinical LE after ALND.

DOI: 10.1007/s00520-015-2933-0
PubMed: 26349574


Affiliations:


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pubmed:26349574

Le document en format XML

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<term>Axilla (pathology)</term>
<term>Breast Neoplasms (complications)</term>
<term>Breast Neoplasms (pathology)</term>
<term>Female</term>
<term>Humans</term>
<term>Lymph Node Excision (adverse effects)</term>
<term>Lymphedema (etiology)</term>
<term>Middle Aged</term>
<term>Postoperative Period</term>
<term>Sentinel Lymph Node Biopsy (adverse effects)</term>
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<term>Adulte d'âge moyen</term>
<term>Aisselle (anatomopathologie)</term>
<term>Biopsie de noeud lymphatique sentinelle (effets indésirables)</term>
<term>Femelle</term>
<term>Humains</term>
<term>Lymphadénectomie (effets indésirables)</term>
<term>Lymphoedème (étiologie)</term>
<term>Période postopératoire</term>
<term>Tumeurs du sein ()</term>
<term>Tumeurs du sein (anatomopathologie)</term>
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<term>Axilla</term>
<term>Breast Neoplasms</term>
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<front>
<div type="abstract" xml:lang="en">Early detection and timely intervention demonstrate the greatest promise of reducing the incidence of late-stage lymphedema in breast cancer patients undergoing axillary lymph node dissection (ALND). A nomogram was developed for predicting the risk of lymphedema (LE) in patients with ALND. This study's aim was to test the early postoperative prediction model for the diagnosis of clinical and subclinical LE after ALND.</div>
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<Month>09</Month>
<Day>21</Day>
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<Day>28</Day>
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<Month>Mar</Month>
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<Title>Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer</Title>
<ISOAbbreviation>Support Care Cancer</ISOAbbreviation>
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<ArticleTitle>Breast cancer-related lymphedema after axillary lymph node dissection: does early postoperative prediction model work?</ArticleTitle>
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<AbstractText Label="PURPOSE" NlmCategory="OBJECTIVE">Early detection and timely intervention demonstrate the greatest promise of reducing the incidence of late-stage lymphedema in breast cancer patients undergoing axillary lymph node dissection (ALND). A nomogram was developed for predicting the risk of lymphedema (LE) in patients with ALND. This study's aim was to test the early postoperative prediction model for the diagnosis of clinical and subclinical LE after ALND.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Patients requiring ALND were identified preoperatively through our LE program database. Measurements using metered tape with bioimpedance spectroscopy (L-Dex U400) were obtained preoperatively (n = 180) and at 3-6-month intervals postoperatively. The 5-year probability of LE after ALND was calculated using the Cleveland Clinic Risk Calculator. The discrimination of the nomogram was assessed by calculating the area under (AUC) the receiver operating characteristic curve.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">LE was present in 36.1% (n = 65) of 180 patients with ALND. Of these 65 patients, 22 (12.2%) had clinical LE and 43 (23.9%) had subclinical LE. Statistical analyses showed significant differences in BMI and receipt of radiotherapy between patients with and without LE (p = 0.03 and p = 0.01, respectively). AUC was 0.601, 0.614, and 0.600 for the nomogram using any LE, clinical LE, and subclinical LE patients, respectively.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The recently created prediction model for the diagnosis of LE in ALND is not accurate in predicting who will develop clinical or subclinical LE. Periodic monitoring of women with ALND is the most effective method to aid in reducing clinical LE incidence through early detection and timely intervention of LE.</AbstractText>
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<Keyword MajorTopicYN="N">Nomogram</Keyword>
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<Year>2015</Year>
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