MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1002/dc.2000

Медицинская библиотека · Diagnostic cytopathology · 2001

Radiologically guided percutaneous fine-needle aspiration biopsy of pelvic and retroperitoneal masses: a retrospective study of 68 cases.

Guo Z, Kurtycz D F, De Las Casas L E, Hoerl H D

СтатьяПеревод пока не подготовлен

Аннотация

Fine-needle aspiration (FNA) of the pelvis and retroperitoneum (excluding the pancreas, kidney, and adrenal masses) has not achieved its full potential as a diagnostic modality. We reviewed 68 percutaneous, radiologically guided FNAs from these locations to assess the clinical utility and complication rate of this procedure. Satisfactory material was obtained in 66 cases (97.1%), of which 37 were deemed positive (55%), 3 suspicious (4%), 4 atypical (6%), and 22 negative (32%) for malignancy; two cases (3%) were unsatisfactory. Compared to biopsy (36 patients) and clinical information, the sensitivity and specificity of FNA for malignancy were 90.2% and 100%, respectively, yielding a positive predictive value of 100% and a negative predictive value of 86.6%. The four false-negative cases (5.9%) were due to sampling error. One patient had a minor complication (hematoma) from the procedure. We conclude that FNA is the procedure of choice for detecting most malignancies in these two locations.

Для цитирования: Guo Z, Kurtycz D F, De Las Casas L E, Hoerl H D. Radiologically guided percutaneous fine-needle aspiration biopsy of pelvic and retroperitoneal masses: a retrospective study of 68 cases.. Diagnostic cytopathology. 2001. DOI: 10.1002/dc.2000.

Предметные рубрики MeSH

Подготовка и перевод публикации
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.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.