Prognostic nomogram for diffuse large B-cell lymphoma incorporating the International Prognostic Index with interim-positron emission tomography findings

被引:23
作者
Chow, A. [1 ,2 ,9 ]
Phillips, M. [1 ,2 ,3 ]
Siew, T. [4 ,5 ,6 ,7 ,8 ]
Cull, G. [1 ]
Augustson, B. [1 ]
Ward, M. [1 ]
Joske, D. [1 ,2 ]
机构
[1] Sir Charles Gairdner Hosp, Dept Haematol, Perth, WA, Australia
[2] Univ Western Australia, Perth, WA 6009, Australia
[3] Western Australian Inst Med Res, Perth, WA, Australia
[4] Sir Charles Gairdner Hosp, Dept Nucl Med, Perth, WA, Australia
[5] Sir Charles Gairdner Hosp, WA PET Serv, Perth, WA, Australia
[6] Royal Perth Hosp, Dept Diagnost Imaging & Intervent Radiol, Perth, WA, Australia
[7] Royal Perth Hosp, Dept Nucl Med, Perth, WA, Australia
[8] Notre Dame Univ, Perth, WA, Australia
[9] Alfred Hosp, Melbourne, Vic, Australia
关键词
diffuse large B-cell lymphoma; PET scan; International Prognostic Index; prognosis; nomogram; lymphoma; FDG-PET; RESPONSE ASSESSMENT;
D O I
10.1111/imj.12194
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background/Aims: Results from interim-positron emission tomography (PET) studies in diffuse large B-cell lymphoma (DLBCL) patients are varied. We evaluated the prognostic value of interim-PET in our centre. To improve concordance, interim-PET was combined with the International Prognostic Index (IPI). Methods: We retrospectively reviewed 100 new consecutive DLBCL patients treated with immunochemotherapy from 2005 to 2010. Twenty-four patients did not receive interim-PET and were excluded. Interim-PET images were re-examined using a qualitative assessment technique. Progression-free survival (PFS) and overall survival (OS) were analysed by the Cox proportional hazards model and prognostic accuracy was assessed using Harrell's C statistics (C). Results: Eleven patients were positive, and 65 were negative at interim-PET. The 2-year OS and PFS were 70.8% and 60.0%, respectively, in the PET-negative group, 36.4% and 36.4% for the PET-positive group (log-rank P-value 0.0008 for PFS, 0.0001 for OS). The IPI and interim-PET were minimally correlated. On Cox regression analysis, both were significant indicators of PFS (P < 0.001 and P = 0.002 respectively). The prognostic accuracy for PFS of a negative PET result was limited (C = 0.63), as it was for IPI (C = 0.75), but with the two indicators combined, the predictive accuracy was improved (C = 0.81). A nomogram, predictive for relapse-free survival at 2 years, was constructed. Conclusion: In DLBCL patients treated with immunochemotherapy, the IPI and interim-PET provide independent prognostic information. In combination, a more powerful predictive model may be created as a nomogram. This can be refined in prospective trials and may help clinical decision making.
引用
收藏
页码:932 / 939
页数:8
相关论文
共 21 条
  • [1] [Anonymous], 2012, STAT STAT SOFTW REL
  • [2] [Anonymous], 2012, R LANG ENV STAT COMP
  • [3] Australian New Zealand Clinical Trials Registry, MULT PHAS 2 TRIAL EA
  • [4] Concordance between four European centres of PET reporting criteria designed for use in multicentre trials in Hodgkin lymphoma
    Barrington, Sally F.
    Qian, Wendi
    Somer, Edward J.
    Franceschetto, Antonella
    Bagni, Bruno
    Brun, Eva
    Almquist, Helen
    Loft, Annika
    Hojgaard, Liselotte
    Federico, Massimo
    Gallamini, Andrea
    Smith, Paul
    Johnson, Peter
    Radford, John
    O'Doherty, Michael J.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2010, 37 (10) : 1824 - 1833
  • [5] 18F-FDG PET/CT for Early Response Assessment in Diffuse Large B-Cell Lymphoma: Poor Predictive Value of International Harmonization Project Interpretation
    Cashen, Amanda F.
    Dehdashti, Farrokh
    Luo, Jingqin
    Homb, Andrew
    Siegel, Barry A.
    Bartlett, Nancy L.
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2011, 52 (03) : 386 - 392
  • [6] Role of Functional Imaging in the Management of Lymphoma
    Cheson, Bruce D.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2011, 29 (14) : 1844 - 1854
  • [7] Utility of FDG-PET scanning in lymphoma by WHO classification
    Elstrom, R
    Guan, L
    Baker, G
    Nakhoda, K
    Vergilio, JA
    Zhuang, H
    Pitsilos, S
    Bagg, A
    Downs, L
    Mehrotra, A
    Kim, S
    Alavi, A
    Schuster, SJ
    [J]. BLOOD, 2003, 101 (10) : 3875 - 3876
  • [8] Gonzalez-Barca E, 2010, BLOOD, V116
  • [9] GRAMBSCH PM, 1994, BIOMETRIKA, V81, P515
  • [10] Harrell F.E. J., 2012, rms: Regression Modeling Strategies