ADC-histogram analysis in head and neck squamous cell carcinoma. Associations with different histopathological features including expression of EGFR, VEGF, HIF-1α, Her 2 and p53. A preliminary study

Meyer, Hans Jonas; Leifels, Leonard; Hamerla, Gordian; Höhn, Anne Kathrin

doi:10.1016/j.mri.2018.07.013

Cited by 52 publications

(63 citation statements)

References 33 publications

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“…This is in line with some previous studies [28,[33][34][35], in which higher ADC histogram parameters in HPV-negative patients were found. This was confirmed by Meyer et al [36], who found a negative correlation of high ADC max and ADC SD with low P53 expression in HPVnegative tumors, which lead to minimal cell cycle arrest, senescence or apoptosis [37]. This was attributed to a more keratinizing morphology with variable cellularity, cell shape, keratin pearls, large intratumoral necrosis, hemorrhage and stromal cells found in HPV-negative tumors [28,31,33].…”

Section: Tablementioning

confidence: 60%

“…This was attributed to a more keratinizing morphology with variable cellularity, cell shape, keratin pearls, large intratumoral necrosis, hemorrhage and stromal cells found in HPV-negative tumors [28,31,33]. However, 2 studies did not find any differences of ADC histogram parameters between p16 status [36] or between the more accurate HPV status [15]. This suggested independent prognostic value of ADC and HPV status.…”

Section: Tablementioning

confidence: 96%

“…Ki 67), production of lactate and hypoxic microenvironment [9,14]. In contrast, HPV-positive cells effectively utilize mitochondrial respiration as evidenced by increased oxygen consumption [40][41][42] and low expression of HIF-1α [36].We confirmed this hypothesis by finding significant higher 18 F-FDG-PET parameters (MATV -PT , SUV max-PT , SUV peak-PT , SUV mean-PT and TLG-PT in univariate analysis) in HPV-negative than HPV-positive patients. This underlines the necessity for correction for HPV status in multivariate prognostic analysis.…”

Section: Tablementioning

confidence: 99%

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Predictive value of quantitative diffusion-weighted imaging and 18-F-FDG-PET in head and neck squamous cell carcinoma treated by (chemo)radiotherapy

Martens

Noij

Zwezerijnen

et al. 2019

European Journal of Radiology

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Background and purpose: In head and neck squamous cell carcinoma (HNSCC) (chemo)radiotherapy is increasingly used to preserve organ functionality. The purpose of this study was to identify predictive pretreatment DWI-and 18 F-FDG-PET/CT-parameters for treatment failure (TF), locoregional recurrence (LR) and death in HNSCC patients treated by (chemo)radiotherapy. Materials and methods: We retrospectively included 134 histologically proven HNSCC patients treated with (chemo)radiotherapy between 2012-2017. In 58 patients pre-treatment DWI and 18 F-FDG-PET/CT were performed, in 31 patients DWI only and in 45 patients 18 F-FDG-PET/CT only. Primary tumor (PT) and largest lymph node (LN) metastasis were quantitatively assessed for TF, LR and death. Multivariate analysis was performed for 18 F-FDG-PET/CT and DWI separately and thereafter combined. In patients with both imaging modalities, positive and negative predictive value in TF and differences in LR and death, were assessed. Results: Mean follow-up was 25.6 months (interquartile-range; 14.0-37.1 months). Predictors of treatment failure, corrected for TNM-stage and HPV-status, were SUV max-PT , ADC max-PT , total lesion glycolysis (TLG-LN), ADCp20-LN (P = 0.049, P = 0.024, P = 0.031, P = 0.047, respectively). TLG-PT was predictive for LR (P = 0.003). Metabolic active tumor volume (MATV-PT) (P = 0.003), ADC GTV-PT (P < 0.001), ADCSD (P = 0.048) were significant predictors for death. In patients with both imaging modalities SUV max-PT remained predictive for treatment failure (P = 0.049), TLG-LN for LR (P = 0.003) and ADC GTV-PT for death (P < 0.001). Higher predictive value for treatment failure was found for the combination of SUV max-PT and ADC max-PT , compared to either one separately. Conclusion: Both DWI-and 18 F-FDG-PET/CT-parameters appear to have predictive value for treatment failure, locoregional recurrence and death. Combining SUV max-PT and ADC max-PT resulted in better prediction of treatment failure compared to single parameter assessment.

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Section: Tablementioning

confidence: 60%

Section: Tablementioning

confidence: 96%

Section: Tablementioning

confidence: 99%

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Predictive value of quantitative diffusion-weighted imaging and 18-F-FDG-PET in head and neck squamous cell carcinoma treated by (chemo)radiotherapy

Martens

Noij

Zwezerijnen

et al. 2019

European Journal of Radiology

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“…Previously, it was shown that ADC values are associated with cellularity and tumor microstructure [6]. Beyond sole cellularity, ADC values are associated with important histopathology parameters, re ecting proliferation potential (Ki 67) and tumor suppressor genes p53 [49,50]. However, some immunohistochemical features of angiogenesis were not associated with ADC values [51].…”

Section: Discussionmentioning

confidence: 98%

Diffusion Weighted Imaging of Different Breast Cancer Molecular Subtypes. A Systematic Review and Meta Analysis.

Meyer

Wienke

Surov

2020

Preprint

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Background: Magnetic resonance imaging can be used to diagnose breast cancer (BC)s. Diffusion weighted imaging and the apparent diffusion coefficient (ADC) can be used to reflect tumor microstructure. The present analysis sought to compare ADC values between molecular subtypes of BC based upon a large patient sample.Methods: MEDLINE library and SCOPUS databases were screened for the associations between ADC and molecular suptype of BC to April 2020. Primary endpoint of the systematic review was the ADC value in different BC. Overall, 28 studies were suitable for the analysis and included into the present study.Results: The included studies comprised a total of 2990 tumors. Luminal A type was diagnosed in 865 cases (28.9%), Luminal B in 899 cases (30.1%), Her-2 enriched in 597 cases (20.0%) and triple negative in 629 cases (21.0%). The mean ADC value of the Luminal A type was 0.99 × 10− 3 mm2/s [95% CI 0.94-1.04], of the Luminal B type was 0.99 × 10− 3 mm2/s [95% CI 0.89-1.05], of Her 2-enriched type was 1.02 × 10− 3 mm2/s [95% CI 0.95-1.08] and of the triple negative type was 0.99 × 10− 3 mm2/s [95% CI 0.91-1.07].Conclusions: ADC values cannot be used to discriminate between molecular subtypes of BC.

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“…After thorough review 14 articles were suitable for the present meta-analysis [17][18][19][20][21][22][23][24][25][26][27][28][29][30]. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was used for the research [31].…”

Section: Data Acquisitionmentioning

confidence: 99%

Association Between VEGF Expression and Diffusion Weighted Imaging in Several Tumors—A Systematic Review and Meta-Analysis

Meyer¹,

Wienke

2019

Diagnostics

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To date, only a few studies have investigated relationships between Diffusion-weighted imaging (DWI) and Vascular endothelial growth factor (VEGF) expression in tumors. The reported results are contradictory. The aim of the present analysis was to review the published results and to perform a meta-analysis regarding associations between apparent diffusion coefficients (ADC) derived from DWI and VEGF expression. MEDLINE library was screened for relationships between ADC and VEGF expression up to January 2019. Overall, 14 studies with 578 patients were identified. In 10 studies (71.4%) 3 T scanners were used and in four studies (28.6%) 1.5 T scanners. Furthermore, seven studies (50%) had a prospective design and seven studies (50%) had a retrospective design. Most frequently, prostate cancer, followed by rectal cancer, cervical cancer and esophageal cancer were identified. The pooled correlation coefficient of all tumors was r = −0.02 [95% CI −0.26–0.21]. ADC values derived from routinely acquired DWI do not correlate with VEGF expression in various tumors. Therefore, DWI is not sensitive enough to reflect angiogenesis-related microstructure of tumors.

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ADC-histogram analysis in head and neck squamous cell carcinoma. Associations with different histopathological features including expression of EGFR, VEGF, HIF-1α, Her 2 and p53. A preliminary study

Cited by 52 publications

References 33 publications

Predictive value of quantitative diffusion-weighted imaging and 18-F-FDG-PET in head and neck squamous cell carcinoma treated by (chemo)radiotherapy

Predictive value of quantitative diffusion-weighted imaging and 18-F-FDG-PET in head and neck squamous cell carcinoma treated by (chemo)radiotherapy

Diffusion Weighted Imaging of Different Breast Cancer Molecular Subtypes. A Systematic Review and Meta Analysis.

Association Between VEGF Expression and Diffusion Weighted Imaging in Several Tumors—A Systematic Review and Meta-Analysis

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