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Whole Tumor Histogram Analysis Using DW MRI in Primary Central Nervous System Lymphoma Correlates with Tumor Biomarkers and Outcome.

Publication ,  Journal Article
Chong, I; Ostrom, Q; Khan, B; Dandachi, D; Garg, N; Kotrotsou, A; Colen, R; Morón, F
Published in: Cancers (Basel)
October 8, 2019

The ability to non-invasively predict outcomes and monitor treatment response in primary central nervous system lymphoma (PCNSL) is important as treatment regimens are constantly being trialed. The aim of this study was to assess the validity of using apparent diffusion coefficient (ADC) histogram values to predict Ki-67 expression, a tumor proliferation marker, and patient outcomes in PCNSL in both immunocompetent patients and patients living with HIV (PLWH). Qualitative PCNSL magnetic resonance imaging (MRI) characteristics from 93 patients (23 PLWH and 70 immunocompetent) were analyzed, and whole tumor segmentation was performed on the ADC maps. Quantitative histogram analyses of the segmentations were calculated. These measures were compared to PCNSL Ki-67 expression. Progression-free survival (PFS) and overall survival (OS) were analyzed via comparison to the International Primary Central Nervous System Lymphoma Collaboration Group Response Criteria. Associations between ADC measures and clinical outcomes were assessed using univariate and multivariate Cox proportional hazards models. Normalized ADC (nADC)Min, nADCMean, nADC1, nADC5, and nADC15 values were significantly associated with a poorer OS. nADCMax, nADCMean, nADC5, nADC15, nADC75, nADC95, nADC99 inversely correlated with Ki-67 expression. OS was also significantly associated with lesion hemorrhage. PFS was not significantly associated with ADC values but with lesion hemorrhage. ADC histogram values and related parameters can predict the degree of tumor proliferation and patient outcomes for primary central nervous system lymphoma patients and in both immunocompetent patients and patients living with HIV.

Duke Scholars

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Published In

Cancers (Basel)

DOI

ISSN

2072-6694

Publication Date

October 8, 2019

Volume

11

Issue

10

Location

Switzerland

Related Subject Headings

  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
 

Citation

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ICMJE
MLA
NLM
Chong, I., Ostrom, Q., Khan, B., Dandachi, D., Garg, N., Kotrotsou, A., … Morón, F. (2019). Whole Tumor Histogram Analysis Using DW MRI in Primary Central Nervous System Lymphoma Correlates with Tumor Biomarkers and Outcome. Cancers (Basel), 11(10). https://doi.org/10.3390/cancers11101506
Chong, Insun, Quinn Ostrom, Bilal Khan, Dima Dandachi, Naveen Garg, Aikaterini Kotrotsou, Rivka Colen, and Fanny Morón. “Whole Tumor Histogram Analysis Using DW MRI in Primary Central Nervous System Lymphoma Correlates with Tumor Biomarkers and Outcome.Cancers (Basel) 11, no. 10 (October 8, 2019). https://doi.org/10.3390/cancers11101506.
Chong I, Ostrom Q, Khan B, Dandachi D, Garg N, Kotrotsou A, et al. Whole Tumor Histogram Analysis Using DW MRI in Primary Central Nervous System Lymphoma Correlates with Tumor Biomarkers and Outcome. Cancers (Basel). 2019 Oct 8;11(10).
Chong, Insun, et al. “Whole Tumor Histogram Analysis Using DW MRI in Primary Central Nervous System Lymphoma Correlates with Tumor Biomarkers and Outcome.Cancers (Basel), vol. 11, no. 10, Oct. 2019. Pubmed, doi:10.3390/cancers11101506.
Chong I, Ostrom Q, Khan B, Dandachi D, Garg N, Kotrotsou A, Colen R, Morón F. Whole Tumor Histogram Analysis Using DW MRI in Primary Central Nervous System Lymphoma Correlates with Tumor Biomarkers and Outcome. Cancers (Basel). 2019 Oct 8;11(10).

Published In

Cancers (Basel)

DOI

ISSN

2072-6694

Publication Date

October 8, 2019

Volume

11

Issue

10

Location

Switzerland

Related Subject Headings

  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis