Influence of tumor and microenvironment characteristics on diffusion-weighted imaging in oropharyngeal carcinoma: A pilot study

Swartz, Justin E.; Driessen, Juliette P.; Kempen, Pauline M.W. van; Bree, Remco de; Janssen, Luuk M.; Pameijer, Frank A.; Terhaard, Chris H.J.; Philippens, M.E.P.; Willems, Stefan M.

doi:10.1016/j.oraloncology.2017.12.001

Cited by 38 publications

(29 citation statements)

References 40 publications

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“…In addition, HPV-positive OPSCC seems to be more fre-quently associated with higher Ki-67 levels, 30 which have been found to be negatively correlated to ADC in several cancer types. [31][32][33][34][35] The same aforementioned study by Swartz et al 29 also demonstrated a negative correlation between ADC and Ki-67 expression.…”

Section: Discussionmentioning

confidence: 52%

“…Furthermore, cancer cell nests in HPV-driven cancer are often surrounded by zones of lymphoid cells, 28 which could increase tissue cell density, thus leading to lower ADC. This hypothesis is supported by a very recent pilot study published by Swartz et al, 29 who found a strongly significant negative correlation between ADC and CD3-positive cell count in 20 patients with OPSCC.…”

Section: Discussionmentioning

confidence: 53%

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Correlation between Human Papillomavirus Status and Quantitative MR Imaging Parameters including Diffusion-Weighted Imaging and Texture Features in Oropharyngeal Carcinoma

Ravanelli¹,

Grammatica

Tononcelli³

et al. 2018

AJNR Am J Neuroradiol

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Section: Discussionmentioning

confidence: 52%

Section: Discussionmentioning

confidence: 53%

Correlation between Human Papillomavirus Status and Quantitative MR Imaging Parameters including Diffusion-Weighted Imaging and Texture Features in Oropharyngeal Carcinoma

Ravanelli¹,

Grammatica

Tononcelli³

et al. 2018

AJNR Am J Neuroradiol

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“…One article contained correlation coefficients both between ADC versus histopathology and PET versus histopathology ( n =9). Therefore, the present meta-analysis involved 17 publications [7] , [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] . In these articles, correlations between different imaging and histopathological features were analyzed ( Table 1 ).…”

Section: Methodsmentioning

confidence: 99%

Can Imaging Parameters Provide Information Regarding Histopathology in Head and Neck Squamous Cell Carcinoma? A Meta-Analysis

Surov

Wienke

2018

Translational Oncology

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OBJECT: Our purpose was to provide data regarding relationships between different imaging and histopathological parameters in HNSCC. METHODS: MEDLINE library was screened for associations between different imaging parameters and histopathological features in HNSCC up to December 2017. Only papers containing correlation coefficients between different imaging parameters and histopathological findings were acquired for the analysis. RESULTS: Associations between 18F-FDG positron emission tomography (PET) and KI 67 were reported in 8 studies (236 patients). The pooled correlation coefficient was 0.20 (95% CI = [−0.04; 0.44]). Furthermore, in 4 studies (64 patients), associations between 18F-fluorothymidine PET and KI 67 were analyzed. The pooled correlation coefficient between SUVmax and KI 67 was 0.28 (95% CI = [−0.06; 0.94]). In 2 studies (23 patients), relationships between KI 67 and dynamic contrast-enhanced magnetic resonance imaging were reported. The pooled correlation coefficient between Ktrans and KI 67 was −0.68 (95% CI = [−0.91; −0.44]). Two studies (31 patients) investigated correlation between apparent diffusion coefficient (ADC) and KI 67. The pooled correlation coefficient was −0.61 (95% CI = [−0.84; −0.38]). In 2 studies (117 patients), relationships between 18F-FDG PET and p53 were analyzed. The pooled correlation coefficient was 0.0 (95% CI = [−0.87; 0.88]). There were 3 studies (48 patients) that investigated associations between ADC and tumor cell count in HNSCC. The pooled correlation coefficient was −0.53 (95% CI = [−0.74; −0.32]). Associations between 18F-FDG PET and HIF-1α were investigated in 3 studies (72 patients). The pooled correlation coefficient was 0.44 (95% CI = [−0.20; 1.08]). CONCLUSIONS: ADC may predict cell count and proliferation activity, and SUVmax may predict expression of HIF-1α in HNSCC. SUVmax cannot be used as surrogate marker for expression of KI 67 and p53.

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“…As compared with CT, MRI offers a better anatomical definition of the tumor volume, which have been proven for both primary tumor and metastatic lymph nodes [35], and recognized as of prognostic value in the 8th edition of the TNM classification of Malignant Tumors by the AJCC [14]. Another promising aspect of MRI is the ability to convey cost-effective functional information for treatment planning and follow-up [36][37][38], which could be of immense clinical value if incorporated into validated radiomic models.…”

Section: Resultsmentioning

confidence: 99%

Association of quantitative MRI-based radiomic features with prognostic factors and recurrence rate in oropharyngeal squamous cell carcinoma

Giannitto

Marvaso

Botta

et al. 2021

neo

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Radiomics focuses on extracting a large number of quantitative imaging features and testing both their correlation with clinical characteristics and their prognostic and predictive values. We propose a radiomic approach using magnetic resonance imaging (MRI) to decode tumor phenotype and local recurrence in oropharyngeal squamous cell carcinoma (OPSCC). The contrast-enhanced T1weighted sequences from baseline MRI examinations of OPSCC patients treated between 2008 and 2016 were retrospectively selected. Radiomic features were extracted using the IBEX software, and hierarchical clustering was applied to reduce features redundancy. The association of each radiomic feature with tumor grading and stage, HPV status, loco-regional recurrence within 2 years, considered as main endpoints, was assessed by univariate analysis and then corrected for multiple testing. Statistical analysis was performed with SAS/STAT® software. Thirty-two eligible cases were identified. For each patient, 1286 radiomic features were extracted, subsequently grouped into 16 clusters. Higher grading (G3 vs. G1/G2) was associated with lower 2 values of GOH/65Percentile and GOH/85Percentile features (p = 0.04 and 0.01, respectively). Positive HPV status was associated with higher values of GOH/10Percentile (p = 0.03) and lower values of GOH/90Percentile (p = 0.03). Loco-regional recurrence within 2 years was associated with higher values of GLCM3/4-7Correlation (p = 0.04) and lower values of GLCM3/2-1InformationMeasureCorr1 (p = 0.04). Results lost the statistical significance after correction for multiple testing. T stage was significantly correlated with 9 features, 4 of which (GLCM25/180-4InformationMeasureCorr2, Shape/MeanBreadth, GLCM25/90-1InverseDiffMomentNorm and GLCM3/6-1InformationMeasureCorr1) retained statistical significance after False Discovery Rate correction. MRI-based radiomics is a feasible and promising approach for the prediction of tumor phenotype and local recurrence in OPSCC. Some radiomic features seem to be correlated with tumor characteristics and oncologic outcome however, larger collaborative studies are warranted in order to increase the statistical power and to obtain robust and validated results.

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Influence of tumor and microenvironment characteristics on diffusion-weighted imaging in oropharyngeal carcinoma: A pilot study

Cited by 38 publications

References 40 publications

Correlation between Human Papillomavirus Status and Quantitative MR Imaging Parameters including Diffusion-Weighted Imaging and Texture Features in Oropharyngeal Carcinoma

Correlation between Human Papillomavirus Status and Quantitative MR Imaging Parameters including Diffusion-Weighted Imaging and Texture Features in Oropharyngeal Carcinoma

Can Imaging Parameters Provide Information Regarding Histopathology in Head and Neck Squamous Cell Carcinoma? A Meta-Analysis

Association of quantitative MRI-based radiomic features with prognostic factors and recurrence rate in oropharyngeal squamous cell carcinoma

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