AIMS: To establish the utility of flow cytometry (FCM) for screening and diagnosis of B cell non-Hodgkin lymphoma (B-NHL) from lymphoid tissue samples obtained by fine-needle aspiration (FNA). METHODS AND RESULTS: We compared prospectively FCM versus cytology/histology analysis of FNA samples for the diagnostic screening and further World Health Organization (WHO) subclassification of B-NHL. FCM and cytology showed a high degree of agreement (93%); however, diagnosis of reactive processes (RP), B-NHL and T-NHL by FCM showed higher sensitivity than cytology (92-100% versus 64-94%, respectively), without false positive NHL cases. The antibody combination used did not allow a positive diagnosis of Hodgkin lymphoma as distinct from a RP. A high concordance rate was found between FCM and histopathology (74%) in subtyping B-NHL. In this regard, mantle-cell lymphoma and chronic lymphocytic leukaemia/small lymphocytic lymphoma showed the highest degree of agreement (100% concordant rates). In turn, FCM showed higher sensitivity/specificity in classifying follicular lymphoma (FL) and large B cell lymphomas, while the opposite occurred for marginal-zone and lymphoplasmacytic lymphomas. CONCLUSIONS: FCM enhances the diagnostic ability of FNA cytology, playing a crucial role in a rapid and accurate differential diagnosis between RP, B-NHL and T-NHL. In addition, immunophenotyping of FNA samples contributes to a more precise subclassification of B-NHL when combined with histopathology and genetic/molecular data.
AIMS: To establish the utility of flow cytometry (FCM) for screening and diagnosis of B cell non-Hodgkin lymphoma (B-NHL) from lymphoid tissue samples obtained by fine-needle aspiration (FNA). METHODS AND RESULTS: We compared prospectively FCM versus cytology/histology analysis of FNA samples for the diagnostic screening and further World Health Organization (WHO) subclassification of B-NHL. FCM and cytology showed a high degree of agreement (93%); however, diagnosis of reactive processes (RP), B-NHL and T-NHL by FCM showed higher sensitivity than cytology (92-100% versus 64-94%, respectively), without false positive NHL cases. The antibody combination used did not allow a positive diagnosis of Hodgkin lymphoma as distinct from a RP. A high concordance rate was found between FCM and histopathology (74%) in subtyping B-NHL. In this regard, mantle-cell lymphoma and chronic lymphocytic leukaemia/small lymphocytic lymphoma showed the highest degree of agreement (100% concordant rates). In turn, FCM showed higher sensitivity/specificity in classifying follicular lymphoma (FL) and large B cell lymphomas, while the opposite occurred for marginal-zone and lymphoplasmacytic lymphomas. CONCLUSIONS: FCM enhances the diagnostic ability of FNA cytology, playing a crucial role in a rapid and accurate differential diagnosis between RP, B-NHL and T-NHL. In addition, immunophenotyping of FNA samples contributes to a more precise subclassification of B-NHL when combined with histopathology and genetic/molecular data.
Authors: J J M van Dongen; L Lhermitte; S Böttcher; J Almeida; V H J van der Velden; J Flores-Montero; A Rawstron; V Asnafi; Q Lécrevisse; P Lucio; E Mejstrikova; T Szczepański; T Kalina; R de Tute; M Brüggemann; L Sedek; M Cullen; A W Langerak; A Mendonça; E Macintyre; M Martin-Ayuso; O Hrusak; M B Vidriales; A Orfao Journal: Leukemia Date: 2012-05-03 Impact factor: 11.528
Authors: Jorge Labrador; Maria Auxiliadora Aparicio; A Santos-Briz; T Flores; Ramon García-Sanz Journal: Rheumatol Int Date: 2012-11-17 Impact factor: 3.580
Authors: Cristiane S Ferreira-Facio; Cristiane Milito; Vitor Botafogo; Marcela Fontana; Leandro S Thiago; Elen Oliveira; Ariovaldo S da Rocha-Filho; Fernando Werneck; Danielle N Forny; Samuel Dekermacher; Ana Paula de Azambuja; Sima Esther Ferman; Paulo Antônio Silvestre de Faria; Marcelo G P Land; Alberto Orfao; Elaine S Costa Journal: PLoS One Date: 2013-03-05 Impact factor: 3.240
Authors: A Barreca; C Martinengo; L Annaratone; L Righi; A Chiappella; M Ladetto; A Demurtas; L Chiusa; A Stacchini; N Crosetto; A van Oudenaarden; R Chiarle Journal: Blood Cancer J Date: 2014-10-10 Impact factor: 11.037