Differentiation of Diffuse Large B-cell Lymphoma From Follicular Lymphoma Using Texture Analysis on Conventional MR Images at 3.0 Tesla

Wu, Xingchen; Sikiö, Minna; Pertovaara, Hannu; Järvenpää, Ritva; Eskola, Hannu; Dastidar, Prasun; Kellokumpu‐Lehtinen, Pirkko‐Liisa

doi:10.1016/j.acra.2016.01.012

Cited by 22 publications

(18 citation statements)

References 34 publications

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“…To date, only very few prospective studies have been conducted evaluating MRI‐texture features as surrogate markers for oncologic imaging with prognostic value (as in a study of ovarian and peritoneal cancer by Kyriazi et al). Instead, texture features are usually applied retrospectively to available imaging data . Due to possible changes in protocols over time at a single institution, and variable protocols across multiple institutions, different b ‐values have to be taken into account as a potential confounder when retrospectively analyzing texture features from such heterogeneous DW‐MRI data.…”

Section: Discussionmentioning

confidence: 99%

Diffusion‐weighted imaging of the abdomen: Impact of b‐values on texture analysis features

et al. 2016

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The purpose of this work was to systematically assess the impact of the b-value on texture analysis in MR diffusion-weighted imaging (DWI) of the abdomen. In eight healthy male volunteers, echo-planar DWI sequences at 16 b-values ranging between 0 and 1000 s/mm were acquired at 3 T. Three different apparent diffusion coefficient (ADC) maps were computed (0, 750/100, 390, 750 s/mm /all b-values). Texture analysis of rectangular regions of interest in the liver, kidney, spleen, pancreas, paraspinal muscle and subcutaneous fat was performed on DW images and the ADC maps, applying 19 features computed from the histogram, grey-level co-occurrence matrix (GLCM) and grey-level run-length matrix (GLRLM). Correlations between b-values and texture features were tested with a linear and an exponential model; the best fit was determined by the smallest sum of squared residuals. Differences between the ADC maps were assessed with an analysis of variance. A Bonferroni-corrected p-value less than 0.008 (=0.05/6) was considered statistically significant. Most GLCM and GLRLM-derived texture features (12-18 per organ) showed significant correlations with the b-value. Four texture features correlated significantly with changing b-values in all organs (p < 0.008). Correlation coefficients varied between 0.7 and 1.0. The best fit varied across different structures, with fat exhibiting mostly exponential (17 features), muscle mostly linear (12 features) and the parenchymatous organs mixed feature alterations. Two GLCM features showed significant variability in the different ADC maps. Several texture features vary systematically in healthy tissues at different b-values, which needs to be taken into account if DWI data with different b-values are analyzed. Histogram and GLRLM-derived texture features are stable on ADC maps computed from different b-values.

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Section: Discussionmentioning

confidence: 99%

Diffusion‐weighted imaging of the abdomen: Impact of b‐values on texture analysis features

et al. 2016

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“…These findings identified by WB-MRI may then be validated by additional 18 F-FDG-PET/CT, the capability of which in identifying the histological transformation of FL is well established [22]. Moreover, Wu et al have recently found that FL and diffuse large B-cell lymphoma could be differentiated by means of texture analysis on post-contrast T1-weighted images [41]. It might potentially help in early identification of a transformed lymphoma during imaging follow-up of FL patients, but this needs to be confirmed by larger studies.…”

Section: Imaging Monitoring and Wwmentioning

confidence: 92%

Whole body magnetic resonance in indolent lymphomas under watchful waiting: The time is now

et al. 2017

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The indolent non-Hodgkin lymphomas (i-NHLs) are characterised by 'indolent' clinical behaviour with slow growth and prolonged natural history. The watchful waiting (WW) strategy is a frequently employed treatment option in these patients. This implies a strict monitoring by imaging examinations, including 18F-fluorodeoxyglucose-positron emission tomography/computed tomography (18F-FDG-PET/CT) and CT. A major concern is radiation exposure due to regularly monitoring by conventional imaging procedures. Several studies have demonstrated the reliability of whole-body magnetic resonance imaging (WB-MRI) for lymphoma staging. WB-MRI could be useful for active surveillance in iNHLs providing the suspect of disease progression that can be then confirmed by additional diagnostic procedures, including 18F-FDG-PET/CT. The directive 2013/59 by the European Union claims that if a radiation-free imaging technique allows obtaining the same diagnostic results, it should be invariably used.In this setting, WB-MRI may be considered a reasonable option in i-NHLs under WW, replacing imaging modalities that cause exposure to ionising radiations. This will help to reduce the cancer risk in i-NHL patients for whom chemo-/radiotherapy remain the usual treatment options following the usually long WW phase. The scientific community should raise the awareness of the risk of ionising radiations in i-NHLs and the emphasise the need for establishing the proper place of WB-MRI in lymphoma imaging. Key Points• Watchful waiting is a reasonable option in patients with indolent non-Hodgkin lymphomas.• Imaging is crucial to monitor patients with indolent nonHodgkin lymphomas.• CT and 18 F-FDG-PET/CT are commonly used, implying a substantial radiation exposure.• WB-MRI is highly reliable in lymphoma staging.• WB-MRI may be considered to monitor indolent nonHodgkin lymphomas under watchful waiting.

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“…In a recent study on 28 patients with NHL, De Paepe et al have demonstrated that first‐order ADC texture analysis on WB‐DWI‐MRI at 3T can increase the accuracy of lymph node characterization in comparison with ADC mean. Wu et al have explored the applicability of texture analysis on postcontrast T1‐weighted MRI images to differentiate FL and DLBCL reporting high diagnostic accuracy to distinguish these subtypes . Thus, this tool could be potentially helpful to early identify a transformed lymphoma during imaging follow‐up of FL.…”

Section: Future Perspectivesmentioning

confidence: 99%

Whole‐body magnetic resonance imaging (WB‐MRI) in lymphoma: State of the art

Albano

Bruno

Patti

et al. 2019

Hematological Oncology

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The improvements in magnetic resonance imaging (MRI) technology and the concern related to the increased cancer risk in patients with lymphoma, also due to radiation exposure associated with imaging examinations, have led to the introduction of whole‐body MRI (WB‐MRI) as a radiation‐free alternative to standard imaging procedures. WB‐MRI seems a less histology‐dependent functional imaging test than 18F‐fluorodeoxyglucose‐positron emission tomography/CT (18F‐FDG‐PET/CT). In patients with FDG‐avid lymphomas, such as diffuse large B‐cell lymphoma (DLBCL) and Hodgkin lymphoma (HL), 18F‐FDG‐PET/CT remains the imaging reference standard for staging, with WB‐MRI potentially being a complementary modality that could replace CT, especially in young patients. On the other hand, WB‐MRI is a valuable imaging procedure for lymphoma surveillance and in lymphomas with variable/low FDG avidity and nonfollicular indolent lymphomas. The aim of this paper is to discuss the current state of the art of WB‐MRI in lymphoma by evaluating its diagnostic performance in different lymphoma subtypes: Hodgkin, aggressive, and indolent lymphomas.

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Differentiation of Diffuse Large B-cell Lymphoma From Follicular Lymphoma Using Texture Analysis on Conventional MR Images at 3.0 Tesla

Cited by 22 publications

References 34 publications

Diffusion‐weighted imaging of the abdomen: Impact of b‐values on texture analysis features

Diffusion‐weighted imaging of the abdomen: Impact of b‐values on texture analysis features

Whole body magnetic resonance in indolent lymphomas under watchful waiting: The time is now

Whole‐body magnetic resonance imaging (WB‐MRI) in lymphoma: State of the art

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