Difference Between HPV-Positive and HPV-Negative Non-Oropharyngeal Head and Neck Cancer

Fujita, Akifumi; Buch, Karen; Li, Baojun; Kawashima, Y; Qureshi, Muhammad M.; Sakai, Osamu

doi:10.1097/rct.0000000000000320

Cited by 80 publications

(51 citation statements)

References 21 publications

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“…CT texture analysis is an emerging technique that quantifies heterogeneity of a region of interest by analyzing the distribution and/or relationship of pixel or voxel gray levels in the image [17]. This technique has been most intensely studied in oncologic applications, and has shown association with pathologic features and clinical outcomes in a variety of tumor types [18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Some non-oncologic applications are being evaluated, with several groups using texture analysis to assess emphysema and fibrosis in the lung [32,33].…”

Section: Introductionmentioning

confidence: 99%

Texture analysis of the liver at MDCT for assessing hepatic fibrosis

et al. 2017

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Abstract:Purpose: To evaluate CT texture analysis (CTTA) for staging of hepatic fibrosis (stages F0-F4)Methods: Quantitative texture analysis (QTA) of the liver was performed on abdominal MDCT scans using commercially-available software (TexRAD), which uses a filtration histogram statistic-based technique. Single-slice ROI measurements of the total liver, Couinaud segments IV-VIII, and segments I-III were obtained. CTTA parameters were correlated against fibrosis stage (F0-F4), with biopsy performed within one year for all cases with intermediate fibrosis (F1-F3). Results:The study cohort consisted of 289 adults (158M/131W; mean age, 51 yrs), including healthy controls (F0, n=77), and patients with increasing stages of fibrosis (F1, n=42; F2 n=37; F3 n=53; F4 n=80). Mean of the pixel histogram increased with fibrosis stage, demonstrating an ROC AUC of 0.78 at medium filtration for F0 vs F1-4, with sensitivity and specificity of 74% and 74% at cut-off 0.18. For significant fibrosis (≥F2), mean showed AUCs ranging from 0.71-0.73 across medium and coarse filtered textures with sensitivity and specificity of 71% and 68% at cutoff of 0.3, with similar performance also observed for advanced fibrosis (≥F3). Entropy showed a similar trend. Conversely, kurtosis and skewness decreased with increasing fibrosis, particularly in cirrhotic patients. For cirrhosis (≥F4), kurtosis and skewness showed AUCs of 0.86 and 0.87 respectively at coarse filtered scale, with skewness showing a sensitivity and specificity of 84% and 75% at cutoff of 1.3. Conclusion:CTTA may be helpful in detecting the presence of hepatic fibrosis and discriminating between stages of fibrosis, particularly at advanced levels.

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Section: Introductionmentioning

confidence: 99%

Texture analysis of the liver at MDCT for assessing hepatic fibrosis

et al. 2017

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“…Convincing evidence has shown that HPV‐positive and HPV‐unrelated (HPV‐negative) OPC have unique demographics profiles, clinical presentations, and prognoses. Several studies have also reported radiologic differences between both entities . However, most studies were limited by relatively small sample sizes and subject to selection bias as well as interrater and intrarater variation in assessing various radiologic features.…”

Section: Introductionmentioning

confidence: 99%

Morphologic and topographic radiologic features of human papillomavirus‐related and –unrelated oropharyngeal carcinoma

Chan

Bartlett

et al. 2017

Head & Neck

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“…The morbidity and mortality of human papilloma virus (HPV)‐positive oropharyngeal squamous cell carcinoma were higher than those of HPV‐negative oropharyngeal squamous cell carcinoma. One study showed that CT imaging features can distinguish between HPV positive and HPV negative oropharyngeal squamous cell carcinoma and can be used to select appropriate treatment strategy 18 . In head and neck cancer, such as oropharyngeal head and neck squamous cell carcinoma and non‐oropharyngeal head and neck squamous cell carcinoma, different cell sublines have different radiosensitivity factors and different resistance to radiation.…”

Section: Application Of Radiomics In Radiotherapymentioning

confidence: 99%

Radiomics in radiotherapy: Applications and future challenges

Qiu

Duan

Yin

2020

Precision Radiation Oncology

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Radiomics has the potential to personalize patient treatment by using medical images that are already being acquired in clinical practice. Recently, with the development of computational and imaging technology, radiotherapy has brought unlimited opportunities driven by radiomics in individual cancer treatment and precision medicine care. This article reviews the advances in the application of radiomics in lung cancer, head and neck cancer, and other cancer sites. Additionally, we comment on the future challenges of radiomic research.

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Difference Between HPV-Positive and HPV-Negative Non-Oropharyngeal Head and Neck Cancer

Abstract: Texture analysis demonstrated significant differences between HPV and HPV non-OPCs on computed tomography images, which may have a potential to prove morphologic feature differences among HPV-related tumors.

Cited by 80 publications

References 21 publications

Texture analysis of the liver at MDCT for assessing hepatic fibrosis

Texture analysis of the liver at MDCT for assessing hepatic fibrosis

Morphologic and topographic radiologic features of human papillomavirus‐related and –unrelated oropharyngeal carcinoma

Radiomics in radiotherapy: Applications and future challenges

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