Literature DB >> 22271092

Tumour burden predicts treatment resistance in patients with early unfavourable or advanced stage Hodgkin lymphoma treated with ABVD and radiotherapy.

Paolo G Gobbi1, Emilio Bassi, Manuela Bergonzi, Francesco Merli, Chiara Coriani, Emilio Iannitto, Stefano Luminari, Giuseppe Polimeno, Massimo Federico.   

Abstract

The purpose of the work was to investigate the factors predicting early resistance to treatment in Hodgkin lymphoma. Many staging parameters, including relative tumour burden (rTB), were analysed in 246 patients with Hodgkin lymphoma in relation to early failure, that is, less than complete remission (i.e. partial response, null response or progression) or occurrence of early relapse, as clinical expressions of resistance to treatment. Patients with early unfavourable disease were 129 and were treated with four to six cycles of ABVD + involved field radiotherapy; 117 patients with advanced stage disease received six cycles of ABVD + optional irradiation to no more than two sites. The rTB was volumetrically measured through the evaluation of staging computed tomography for all the lesions except bone marrow involvement, which was quantified by calculation. The relationship with early resistance was analysed with logistic regressions. The rTB demonstrated to be the best predictor of early failure in both patient subsets, being superior to the multiparameter International Prognostic Score. The rTB showed a significant exponential relationship with the relative risk of early failure, and with inclusion of the extranodal involvement into the model, a single equation became adequate to predict resistance in both early unfavourable and advanced stage patients. The conclusions are that the rTB is the best pretreatment factor related to the risk of resistance to combined ABVD + radiotherapy and that this relationship can be mathematically expressed in an easy way. A simplified assessment of rTB is highly desirable.
Copyright © 2012 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22271092     DOI: 10.1002/hon.1024

Source DB:  PubMed          Journal:  Hematol Oncol        ISSN: 0278-0232            Impact factor:   5.271


  6 in total

Review 1.  FDG PET/CT imaging as a biomarker in lymphoma.

Authors:  Michel Meignan; Emmanuel Itti; Andrea Gallamini; Anas Younes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-09       Impact factor: 9.236

2.  Baseline metabolic tumour volume in Hodgkin lymphoma: the prognostic value of accessory cells.

Authors:  Michel Meignan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-09       Impact factor: 9.236

3.  Pretherapy metabolic tumour volume is an independent predictor of outcome in patients with diffuse large B-cell lymphoma.

Authors:  Myriam Sasanelli; Michel Meignan; Corinne Haioun; Alina Berriolo-Riedinger; René-Olivier Casasnovas; Alberto Biggi; Andrea Gallamini; Barry A Siegel; Amanda F Cashen; Pierre Véra; Hervé Tilly; Annibale Versari; Emmanuel Itti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-06-06       Impact factor: 9.236

4.  Baseline metabolic tumour volume is an independent prognostic factor in Hodgkin lymphoma.

Authors:  Salim Kanoun; Cédric Rossi; Alina Berriolo-Riedinger; Inna Dygai-Cochet; Alexandre Cochet; Olivier Humbert; Michel Toubeau; Emmanuelle Ferrant; François Brunotte; René-Olivier Casasnovas
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-05-09       Impact factor: 9.236

5.  Metabolic tumour volumes measured at staging in lymphoma: methodological evaluation on phantom experiments and patients.

Authors:  Michel Meignan; Myriam Sasanelli; René Olivier Casasnovas; Stefano Luminari; Federica Fioroni; Chiara Coriani; Helene Masset; Emmanuel Itti; Paolo G Gobbi; Francesco Merli; Annibale Versari
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-26       Impact factor: 9.236

Review 6.  Prognostic factors in hodgkin lymphoma.

Authors:  Annarosa Cuccaro; Francesca Bartolomei; Elisa Cupelli; Eugenio Galli; Manuela Giachelia; Stefan Hohaus
Journal:  Mediterr J Hematol Infect Dis       Date:  2014-07-05       Impact factor: 2.576

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.