Evaluation of apparent diffusion coefficient associated with pathological grade of lung carcinoma, before therapy

Liu, Haidong; Liu, Ying; Yu, Tao; Ye, Ning; Wang, Qing

doi:10.1002/jmri.24823

Cited by 16 publications

(24 citation statements)

References 33 publications

(88 reference statements)

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“…Low ADC represents restricted diffusion and is found in highly cellular regions such as tumours and normal lymph nodes. Reports correlating ADC with NSCLC pathology specimens have confirmed a decrease in tumour ADC with increasing cellularity (as previously reported for other body parts), and an ADC cut-off can be set such that DW-MRI differentiates grade III cell density from lower grades with a sensitivity of 88.2% and a specificity of 62.5% [59,60].…”

Section: Tumour Microenvironmentmentioning

confidence: 59%

Mechanism and non-mechanism based imaging biomarkers for assessing biological response to treatment in non-small cell lung cancer

Weller

O’Brien

Ahmed

et al. 2016

European Journal of Cancer

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Section: Tumour Microenvironmentmentioning

confidence: 59%

Mechanism and non-mechanism based imaging biomarkers for assessing biological response to treatment in non-small cell lung cancer

Weller

O’Brien

Ahmed

et al. 2016

European Journal of Cancer

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“…Since radiotherapy is highly capable of reducing proliferation and activating cell death mechanisms such as apoptosis, with subsequent disintegration of membrane structures, ADC and D are both potent candidates for radiotherapy response assessment [2] , [36] . Several studies have shown that ADC is related to both cellular density and tumor aggressiveness [10] , [8] , [37] , [45] , [39] , [40] , [41] , [42] . Rijswijk et al [43] compared diffusion estimated by D with ADC in soft tissue tumors in patients with tumors of different type and location.…”

Section: Discussionmentioning

confidence: 99%

Identification of Potential MR-Derived Biomarkers for Tumor Tissue Response to 177Lu-Octreotate Therapy in an Animal Model of Small Intestine Neuroendocrine Tumor

Montelius

Spetz

Jalnefjord

et al. 2018

Translational Oncology

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Magnetic resonance (MR) methods enable noninvasive, regional tumor therapy response assessment, but associations between MR parameters, underlying biology, and therapeutic effects must be investigated. The aim of this study was to investigate response assessment efficacy and biological associations of MR parameters in a neuroendocrine tumor (NET) model subjected to radionuclide treatment. Twenty-one mice with NETs received 177Lu-octreotate at day 0. MR experiments (day −1, 1, 3, 8, and 13) included T2-weighted, dynamic contrast-enhanced (DCE) and diffusion-weighted imaging (DWI) and relaxation measurements (T1/T2*). Tumor tissue was analyzed using proteomics. MR-derived parameters were evaluated for each examination day and for different radial distances from the tumor center. Response assessment efficacy and biological associations were evaluated using feature selection and protein expression correlations, respectively. Reduced tumor growth rate or shrinkage was observed until day 8, followed by reestablished growth in most tumors. The most important MR parameter for response prediction was DCE-MRI–derived pretreatment signal enhancement ratio (SER) at 40% to 60% radial distance, where it correlated significantly also with centrally sampled protein CCD89 (association: DNA damage and repair, proliferation, cell cycle arrest). The second most important was changed diffusion (D) between day −1 and day 3, at 60% to 80% radial distance, where it correlated significantly also with peripherally sampled protein CATA (association: oxidative stress, proliferation, cell cycle arrest, apoptotic cell death). Important information regarding tumor biology in response to radionuclide therapy is reflected in several MR parameters, SER and D in particular. The spatial and temporal information provided by MR methods increases the sensitivity for tumor therapy response.

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“…Imaging-histopathological comparison study is helpful to identify the cause of overlapping ADC values between malignant and benign SPLs. Several histopathological parameters, such as cell density, nuclear-to-cytoplasm ratio (NCR), necrotic fraction and grade of differentiation, have been previously quantified and some were shown to be significantly correlated with ADC value in malignant SPLs 18 – 22 . However, to the best of our knowledge, the overall effects of these histopathological parameters on ADC value have not been elucidated.…”

Section: Introductionmentioning

confidence: 99%

Diffusion-weighted MRI in solitary pulmonary lesions: associations between apparent diffusion coefficient and multiple histopathological parameters

Feng

Zhou

Tang

et al. 2018

Sci Rep

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Apparent diffusion coefficient (ADC) from diffusion-weighted imaging (DWI) has gained wide attention as potential tool for differentiating between malignant and benign solitary pulmonary lesions (SPLs). The overall effects of multiple histopathological parameters on ADC have not been elucidated, which may help to explain the overlapping of ADC between malignant and benign SPLs. The study sought to explore associations between ADC and histopathological parameters in SPLs, and to compare diagnostic capability of ADC among different types of SPLs. Multiple histopathological parameters (cell density, nuclear-to-cytoplasm ratio, necrotic fraction, presence of mucus and grade of differentiation) were quantified in 52 malignant and 13 benign SPLs with surgical pathology available. Cell density (β = −0.40) and presence of mucus (β = 0.77) were independently correlated with ADC in malignant SPLs. The accurate diagnosis rate of squamous carcinomas, adenocarcinomas without mucus and malignant tumors with mucus was 100%, 82% and 0%, respectively. Our study suggested that cell density and presence of mucus are independently correlated with ADC in malignant SPLs. Squamous carcinoma maybe more accurately diagnosed as malignancy by ADC value. Malignant SPLs with mucus and adenocarcinomas with low cell density should be kept in mind in differentiating SPLs using ADC because of insufficient diagnostic capability.

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Evaluation of apparent diffusion coefficient associated with pathological grade of lung carcinoma, before therapy

Abstract: ADC measurement of lung cancer was a helpful method to evaluate the pathological grade and tumor cellular density. The quantitative analysis of ADC in conjunction with conventional MR findings could provide more valuable information for the assessment of pulmonary tumor. J

Cited by 16 publications

References 33 publications

Mechanism and non-mechanism based imaging biomarkers for assessing biological response to treatment in non-small cell lung cancer

Mechanism and non-mechanism based imaging biomarkers for assessing biological response to treatment in non-small cell lung cancer

Identification of Potential MR-Derived Biomarkers for Tumor Tissue Response to 177Lu-Octreotate Therapy in an Animal Model of Small Intestine Neuroendocrine Tumor

Diffusion-weighted MRI in solitary pulmonary lesions: associations between apparent diffusion coefficient and multiple histopathological parameters

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