m+Medelevator.RU
← Поиск публикаций
Asian journal of surgery · 2004

Sentinel lymph node biopsy assessment using intraoperative imprint cytology in breast cancer patients: results of a validation study.

СтатьяВалидационное исследованиеНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

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.

Deo Suryanarayana, Samaiya Atul, Jain Paresh, Asthana Sonal, Anand Mona, Shukla Nootan K, Kumar Rajive

Аннотация

OBJECTIVE: Sentinel lymph node biopsy (SLNB) in breast cancer patients is emerging as a promising minimally-invasive tool. There has been an exponential increase in the literature related to sentinel lymph nodes (SLN) in breast cancer patients, mainly from Western centres. This study was carried out to address issues relevant to breast cancer patients in developing countries, including the method of SLN detection, the role of imprint cytology in the assessment of SLN, and the role of SLNB in locally advanced breast cancer (LABC).

METHODS: This study included 76 women with breast cancer. The blue-dye method was used to identify the sentinel node. Touch imprint smears were prepared from the sectioned node, stained using the Jenner-Geimsa technique, and examined for tumour deposits.

RESULTS: Sentinel nodes were identified in 69 of 76 patients. The sensitivity, specificity and accuracy of SLNB in predicting axillary node status were 84.2%, 100% and 91.3%, respectively. The sensitivity, specificity and accuracy of intraoperative imprint cytology were 96.9%, 100% and 98.6%, respectively.

CONCLUSIONS: These results prove that high levels of SLN detection can be achieved using the blue-dye method alone. Its role in LABC patients needs further evaluation. In view of promising results, imprint cytology should be used more frequently as an alternative to frozen section for the assessment of sentinel nodes.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты