Cancer by Sfakianakis Alexandros

Impact of illness perception, mental adjustment, and sociodemographic characteristics on return to work in patients with head and neck cancer.

Related Articles Impact of illness perception, mental adjustment, and sociodemographic characteristics on return to work in patients with head and neck cancer. Support Care Cancer. 2020 Jul 28;: Authors: Chen YJ, Lai YH, Lee YH, Tsai KY, Chen MK, Hsieh MY Abstract PURPOSE: To examine the effects of emotional distress, illness perception, and mental adjustment on return to work (RTW) among patients with head and neck cancer (HNC) and identify...

Technologies in Treatment of Head & Neck

Wed Jul 29, 2020 14:19

Implementation of meta-analysis approach, comparing conventional radiotherapy, and proton beam therapy treating head and neck cancer.

Related Articles Implementation of meta-analysis approach, comparing conventional radiotherapy, and proton beam therapy treating head and neck cancer. J Cancer Res Ther. 2020 Apr-Jun;16(3):594-599 Authors: Shaikh F, Sodhi SK, Kale LM, Talib YA, Saleem HM Abstract Introduction: Radiation therapy is commonly used in the treatment of head and neck cancer in both the definitive and postoperative settings. Proton therapy, due to its intrinsic physical...

Technologies in Treatment of Head & Neck

Wed Jul 29, 2020 14:19

Effect of Arg399Gln single-nucleotide polymorphism in XRCC1 gene on survival rate of Indian squamous cell head-and-neck cancer patients.

Related Articles Effect of Arg399Gln single-nucleotide polymorphism in XRCC1 gene on survival rate of Indian squamous cell head-and-neck cancer patients. J Cancer Res Ther. 2020 Apr-Jun;16(3):551-558 Authors: Dutta D, Abarna R, Shubham M, Subbiah K, Duraisamy S, Chinnusamy R, Anbalagan M Abstract Background: Head-and-neck squamous cell carcinoma (HNSCC) is one of the most common cancers that contribute to 20%-40% of all cancer incidences in...

Technologies in Treatment of Head & Neck

Wed Jul 29, 2020 14:19

Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

Related Articles Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. Int J Med Inform. 2020 04;136:104068 Authors: Alabi RO, Elmusrati M, Sawazaki-Calone I, Kowalski LP, Haglund C, Coletta RD, Mäkitie AA, Salo T, Almangush A, Leivo I Abstract BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC)...

Technologies in Treatment of Head & Neck

Wed Jul 29, 2020 14:19

Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction.

Related Articles Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction. Tomography. 2019 09;5(3):292-299 Authors: Bielak L, Wiedenmann N, Nicolay NH, Lottner T, Fischer J, Bunea H, Grosu AL, Bock M Abstract Precise tumor segmentation is a crucial task in radiation therapy planning. Convolutional neural networks (CNNs) are among the highest scoring automatic approaches for...

Technologies in Treatment of Head & Neck

Wed Jul 29, 2020 14:19