European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology · 2001
Sentinel lymph-node biopsy-based prediction of further breast cancer metastases in the axilla.
Сравнительное исследованиеСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Cserni G
Аннотация
BACKGROUND: Histopathological factors may help identifying a subgroup of breast cancer patients with metastases confined to the sentinel lymph nodes (SLNs).
METHODS: A retrospective analysis was carried out on 111 tumours successfully mapped with Patent blue, 69 of which had SLN metastases.
RESULTS: Multivariate analysis revealed that SLN metastases situated in the sinuses and a small tumour size are the two most important predictors of involvement of only one SLN. The metastasis size and a small tumour size were found important in the model discriminating between tumours with metastases to SLNs only and those with non-SLN involvement. Classification of tumours with only one SLN metastasis and those with a multinodal involvement resulted in a smaller error rate, falsely classified as lesser nodal involvement. Patients with tumours <1.8 cm and metastatic to the sinuses of a single SLN had a low probability of non-SLN metastasis, and might be candidates for axillary sparing after a positive SLN biopsy.
CONCLUSIONS: Further investigations are required to assess the validity of such predictive models for the identification of patients with no metastases beyond the SLN. Axillary treatment must remain the rule until predictive models of non-SLN involvement are fully validated.
METHODS: A retrospective analysis was carried out on 111 tumours successfully mapped with Patent blue, 69 of which had SLN metastases.
RESULTS: Multivariate analysis revealed that SLN metastases situated in the sinuses and a small tumour size are the two most important predictors of involvement of only one SLN. The metastasis size and a small tumour size were found important in the model discriminating between tumours with metastases to SLNs only and those with non-SLN involvement. Classification of tumours with only one SLN metastasis and those with a multinodal involvement resulted in a smaller error rate, falsely classified as lesser nodal involvement. Patients with tumours <1.8 cm and metastatic to the sinuses of a single SLN had a low probability of non-SLN metastasis, and might be candidates for axillary sparing after a positive SLN biopsy.
CONCLUSIONS: Further investigations are required to assess the validity of such predictive models for the identification of patients with no metastases beyond the SLN. Axillary treatment must remain the rule until predictive models of non-SLN involvement are fully validated.