Cancer cytopathology · 2022
Biliary cytology: A diagnostic tree for adenocarcinoma based on a cohort of 135 patients with endoscopic retrograde cholangiopancreatography for stenosis of the extrahepatic bile duct.
СтатьяНазвание и аннотация: Перевод в очереди
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.
Giovannini Diane, Bailly Adeline, Seigneurin Arnaud, Fior-Gozlan Michèle, Eyraud Pierre-Yves, Roth Gael, Laverrière Marie-Hélène, McLeer Anne, Sturm Nathalie
Аннотация
BACKGROUND: The diagnosis of well-differentiated adenocarcinoma on bile aspiration is a well-known challenge. This study was aimed at improving the diagnostic performance and providing a biliary cytology learning atlas.
METHODS: This single-center, retrospective study included 135 cases of informative biliary samples collected between 2009 and 2018 that were classified as benign, atypical, or malignant. A double assessment was performed by a novice and a cytopathologist experienced in biliary cytology to establish the specificities, sensitivities, and inter- and intraobserver κ index agreements of 24 cytological criteria, which were illustrated in a learning atlas.
RESULTS: A multivariate logistic regression was used to assess whether the most specific and reproducible criteria were associated with malignancy. A scoring system was statistically determined: 6 points were attributed in the presence of a 3-dimensional (3D) cluster, anisonucleosis, and a nuclear to cytoplasmic (N:C) ratio > 0.5, whereas 4 points were given in the presence of an enhanced nuclear membrane. A score higher than 10 points resulted in a malignancy diagnosis with 96% sensitivity and 97% specificity.
CONCLUSIONS: A diagnostic tree of malignancy based on 4 criteria, together with a multidisciplinary approach, allows the diagnosis of adenocarcinoma with a specificity of 100% and a sensitivity of 88% or 72% depending on the presence of a single malignant cell or the presence of 3 combined criteria (a 3D cluster, anisonucleosis, and an N:C ratio > 0.5). It comes with a learning atlas useful for cytopathologist training and accuracy in this uncommon cytology.
METHODS: This single-center, retrospective study included 135 cases of informative biliary samples collected between 2009 and 2018 that were classified as benign, atypical, or malignant. A double assessment was performed by a novice and a cytopathologist experienced in biliary cytology to establish the specificities, sensitivities, and inter- and intraobserver κ index agreements of 24 cytological criteria, which were illustrated in a learning atlas.
RESULTS: A multivariate logistic regression was used to assess whether the most specific and reproducible criteria were associated with malignancy. A scoring system was statistically determined: 6 points were attributed in the presence of a 3-dimensional (3D) cluster, anisonucleosis, and a nuclear to cytoplasmic (N:C) ratio > 0.5, whereas 4 points were given in the presence of an enhanced nuclear membrane. A score higher than 10 points resulted in a malignancy diagnosis with 96% sensitivity and 97% specificity.
CONCLUSIONS: A diagnostic tree of malignancy based on 4 criteria, together with a multidisciplinary approach, allows the diagnosis of adenocarcinoma with a specificity of 100% and a sensitivity of 88% or 72% depending on the presence of a single malignant cell or the presence of 3 combined criteria (a 3D cluster, anisonucleosis, and an N:C ratio > 0.5). It comes with a learning atlas useful for cytopathologist training and accuracy in this uncommon cytology.