{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T13:52:10Z","timestamp":1785246730623,"version":"3.55.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100004434","name":"Universit\u00e0 degli Studi di Firenze","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004434","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Radiol med"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Objective<\/jats:title>\n                <jats:p>Identifying MRI texture parameters able to distinguish inflammation, fibrosis, and residual cancer in patients with naso-oropharynx carcinoma after radiochemotherapy (RT-CHT).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Material and methods<\/jats:title>\n                <jats:p>In this single-centre, observational, retrospective study, texture analysis was performed on ADC maps and post-gadolinium T1 images of patients with histological diagnosis of naso-oropharyngeal carcinoma treated with RT-CHT. An initial cohort of 99 patients was selected; 57 of them were later excluded. The final cohort of 42 patients was divided into 3 groups (inflammation, fibrosis, and residual cancer) according to MRI, 18F-FDG-PET\/CT performed 3\u20134\u00a0months after RT-CHT, and biopsy. Pre-RT-CHT lesions and the corresponding anatomic area post-RT-CHT were segmented with 3D slicer software from which 107 textural features were derived. T-Student and Wilcoxon signed-rank tests were performed, and features with <jats:italic>p<\/jats:italic>-value\u2009&lt;\u20090.01 were considered statistically significant. Cut-off values\u2014obtained by ROC curves\u2014to discriminate post-RT-CHT non-tumoural changes from residual cancer were calculated for the parameters statistically associated to the diseased status at follow-up.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Two features\u2014Energy and Grey Level Non-Uniformity\u2014were statistically significant on T1 images in the comparison between \u2018positive\u2019 (residual cancer) and \u2018negative\u2019 patients (inflammation and fibrosis). Energy was also found to be statistically significant in both patients with fibrosis and residual cancer. Grey Level Non-Uniformity was significant in the differentiation between residual cancer and inflammation. Five features were statistically significant on ADC maps in the differentiation between \u2018positive\u2019 and \u2018negative\u2019 patients. The reduction in values of such features between pre- and post-RT-CHT was correlated with a good response to therapy.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Texture analysis on post-gadolinium T1 images and ADC maps can differentiate residual cancer from fibrosis and inflammation in early follow-up of naso-oropharyngeal carcinoma treated with RT-CHT.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11547-023-01653-2","type":"journal-article","created":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T19:02:01Z","timestamp":1687201321000},"page":"839-852","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Magnetic resonance imaging in naso-oropharyngeal carcinoma: role of texture analysis in the assessment of response to radiochemotherapy, a preliminary study"],"prefix":"10.1007","volume":"128","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1231-6200","authenticated-orcid":false,"given":"Eleonora","family":"Bicci","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5489-7824","authenticated-orcid":false,"given":"Cosimo","family":"Nardi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7681-7012","authenticated-orcid":false,"given":"Leonardo","family":"Calamandrei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8924-1377","authenticated-orcid":false,"given":"Eleonora","family":"Barcali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4589-7109","authenticated-orcid":false,"given":"Michele","family":"Pietragalla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3589-4820","authenticated-orcid":false,"given":"Linda","family":"Calistri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9880-8387","authenticated-orcid":false,"given":"Isacco","family":"Desideri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5212-2136","authenticated-orcid":false,"given":"Francesco","family":"Mungai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7707-3887","authenticated-orcid":false,"given":"Luigi","family":"Bonasera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7848-1567","authenticated-orcid":false,"given":"Vittorio","family":"Miele","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,6,19]]},"reference":[{"issue":"3","key":"1653_CR1","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.soc.2015.03.001","volume":"24","author":"EM Rettig","year":"2015","unstructured":"Rettig EM, D\u2019Souza G (2015) Epidemiology of head and neck cancer. Surg Oncol Clin N Am 24(3):379\u2013396. https:\/\/doi.org\/10.1016\/j.soc.2015.03.001","journal-title":"Surg Oncol Clin N Am"},{"issue":"4","key":"1653_CR2","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1016\/j.annonc.2020.12.007","volume":"32","author":"P Bossi","year":"2021","unstructured":"Bossi P et al (2021) Nasopharyngeal carcinoma: ESMO-EURACAN clinical practice guidelines for diagnosis, treatment and follow-up (dagger). Ann Oncol 32(4):452\u2013465. https:\/\/doi.org\/10.1016\/j.annonc.2020.12.007","journal-title":"Ann Oncol"},{"issue":"10","key":"1653_CR3","doi-asserted-by":"publisher","first-page":"2445","DOI":"10.3390\/cancers14102445","volume":"14","author":"E Bicci","year":"2022","unstructured":"Bicci E et al (2022) Role of texture analysis in oropharyngeal carcinoma: a systematic review of the literature. Cancers (Basel) 14(10):2445. https:\/\/doi.org\/10.3390\/cancers14102445","journal-title":"Cancers (Basel)"},{"key":"1653_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s11764-022-01168-1","author":"R Kelly","year":"2022","unstructured":"Kelly R et al (2022) Availability and use of web-based interventions for patients with head and neck cancer: a scoping review. J Cancer Surviv. https:\/\/doi.org\/10.1007\/s11764-022-01168-1","journal-title":"J Cancer Surviv"},{"key":"1653_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/s00405-022-07259-0","author":"P Wang","year":"2022","unstructured":"Wang P et al (2022) Impact of HPV status on metastatic patterns and survival in non-oropharyngeal head and neck cancer with distant metastasis. Eur Arch Otorhinolaryngol. https:\/\/doi.org\/10.1007\/s00405-022-07259-0","journal-title":"Eur Arch Otorhinolaryngol"},{"issue":"4","key":"1653_CR6","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1016\/j.semradonc.2021.05.001","volume":"31","author":"TC Salzillo","year":"2021","unstructured":"Salzillo TC et al (2021) Advances in imaging for HPV-related oropharyngeal cancer: applications to radiation oncology. Semin Radiat Oncol 31(4):371\u2013388. https:\/\/doi.org\/10.1016\/j.semradonc.2021.05.001","journal-title":"Semin Radiat Oncol"},{"issue":"17","key":"1653_CR7","doi-asserted-by":"publisher","first-page":"3568","DOI":"10.3390\/jcm10173865","volume":"10","author":"F Piludu","year":"2021","unstructured":"Piludu F et al (2021) Multiparametric MRI evaluation of oropharyngeal squamous cell carcinoma. A mono-institutional study. J Clin Med 10(17):3568. https:\/\/doi.org\/10.3390\/jcm10173865","journal-title":"J Clin Med"},{"issue":"11","key":"1653_CR8","doi-asserted-by":"publisher","first-page":"6311","DOI":"10.1007\/s00330-020-06962-y","volume":"30","author":"SW Mes","year":"2020","unstructured":"Mes SW et al (2020) Outcome prediction of head and neck squamous cell carcinoma by MRI radiomic signatures. Eur Radiol 30(11):6311\u20136321. https:\/\/doi.org\/10.1007\/s00330-020-06962-y","journal-title":"Eur Radiol"},{"issue":"3","key":"1653_CR9","doi-asserted-by":"publisher","first-page":"1473","DOI":"10.3390\/app12031473","volume":"12","author":"D Maraghelli","year":"2022","unstructured":"Maraghelli D et al (2022) Techniques, tricks, and stratagems of oral cavity computed tomography and magnetic resonance imaging. Appl Sci 12(3):1473","journal-title":"Appl Sci"},{"issue":"1","key":"1653_CR10","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.wjorl.2019.06.001","volume":"6","author":"MG Kato","year":"2020","unstructured":"Kato MG et al (2020) Update on oral and oropharyngeal cancer staging\u2014international perspectives. World J Otorhinolaryngol Head Neck Surg 6(1):66\u201375. https:\/\/doi.org\/10.1016\/j.wjorl.2019.06.001","journal-title":"World J Otorhinolaryngol Head Neck Surg"},{"issue":"12","key":"1653_CR11","doi-asserted-by":"publisher","first-page":"1364","DOI":"10.1007\/s11547-022-01565-7","volume":"127","author":"A Lo Casto","year":"2022","unstructured":"Lo Casto A et al (2022) Diagnostic and prognostic value of magnetic resonance imaging in the detection of tumor depth of invasion and bone invasion in patients with oral cavity cancer. Radiol Med 127(12):1364\u20131372. https:\/\/doi.org\/10.1007\/s11547-022-01565-7","journal-title":"Radiol Med"},{"issue":"1138","key":"1653_CR12","doi-asserted-by":"publisher","first-page":"20220149","DOI":"10.1259\/bjr.20220149","volume":"95","author":"P Touska","year":"2022","unstructured":"Touska P, Connor S (2022) Imaging of human papilloma virus associated oropharyngeal squamous cell carcinoma and its impact on diagnosis, prognostication, and response assessment. Br J Radiol 95(1138):20220149. https:\/\/doi.org\/10.1259\/bjr.20220149","journal-title":"Br J Radiol"},{"issue":"12","key":"1653_CR13","doi-asserted-by":"publisher","first-page":"2334","DOI":"10.3174\/ajnr.A5407","volume":"38","author":"H Kuno","year":"2017","unstructured":"Kuno H et al (2017) CT texture analysis potentially predicts local failure in head and neck squamous cell carcinoma treated with chemoradiotherapy. AJNR Am J Neuroradiol 38(12):2334\u20132340. https:\/\/doi.org\/10.3174\/ajnr.A5407","journal-title":"AJNR Am J Neuroradiol"},{"issue":"4","key":"1653_CR14","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1016\/j.ijrobp.2017.06.002","volume":"99","author":"M Bogowicz","year":"2017","unstructured":"Bogowicz M et al (2017) Computed tomography radiomics predicts hpv status and local tumor control after definitive radiochemotherapy in head and neck squamous cell carcinoma. Int J Radiat Oncol Biol Phys 99(4):921\u2013928. https:\/\/doi.org\/10.1016\/j.ijrobp.2017.06.002","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"1653_CR15","doi-asserted-by":"publisher","first-page":"9173729","DOI":"10.1155\/2019\/9173729","volume":"2019","author":"F De Felice","year":"2019","unstructured":"De Felice F et al (2019) Advances in the management of HPV-related oropharyngeal cancer. J Oncol 2019:9173729. https:\/\/doi.org\/10.1155\/2019\/9173729","journal-title":"J Oncol"},{"key":"1653_CR16","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.phro.2022.10.004","volume":"24","author":"T Berger","year":"2022","unstructured":"Berger T et al (2022) Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features. Phys Imaging Radiat Oncol 24:95\u2013101. https:\/\/doi.org\/10.1016\/j.phro.2022.10.004","journal-title":"Phys Imaging Radiat Oncol"},{"key":"1653_CR17","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.phro.2021.11.001","volume":"20","author":"KA Wahid","year":"2021","unstructured":"Wahid KA et al (2021) Intensity standardization methods in magnetic resonance imaging of head and neck cancer. Phys Imaging Radiat Oncol 20:88\u201393. https:\/\/doi.org\/10.1016\/j.phro.2021.11.001","journal-title":"Phys Imaging Radiat Oncol"},{"issue":"47","key":"1653_CR18","doi-asserted-by":"publisher","first-page":"e2141","DOI":"10.1097\/MD.0000000000002141","volume":"94","author":"M Han","year":"2015","unstructured":"Han M et al (2015) The correlations between MRI perfusion, diffusion parameters, and 18F-FDG PET metabolic parameters in primary head-and-neck cancer: a cross-sectional analysis in single institute. Medicine (Baltimore) 94(47):e2141. https:\/\/doi.org\/10.1097\/MD.0000000000002141","journal-title":"Medicine (Baltimore)"},{"issue":"1","key":"1653_CR19","doi-asserted-by":"publisher","first-page":"35","DOI":"10.2214\/AJR.12.9432","volume":"200","author":"S Chawla","year":"2013","unstructured":"Chawla S et al (2013) Pretreatment diffusion-weighted and dynamic contrast-enhanced MRI for prediction of local treatment response in squamous cell carcinomas of the head and neck. AJR Am J Roentgenol 200(1):35\u201343. https:\/\/doi.org\/10.2214\/AJR.12.9432","journal-title":"AJR Am J Roentgenol"},{"issue":"1","key":"1653_CR20","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.crad.2017.05.020","volume":"73","author":"YL Dai","year":"2018","unstructured":"Dai YL, King AD (2018) State of the art MRI in head and neck cancer. Clin Radiol 73(1):45\u201359. https:\/\/doi.org\/10.1016\/j.crad.2017.05.020","journal-title":"Clin Radiol"},{"issue":"11","key":"1653_CR21","doi-asserted-by":"publisher","first-page":"1602","DOI":"10.1109\/83.725367","volume":"7","author":"X Tang","year":"1998","unstructured":"Tang X (1998) Texture information in run-length matrices. IEEE Trans Image Process 7(11):1602\u20131609. https:\/\/doi.org\/10.1109\/83.725367","journal-title":"IEEE Trans Image Process"},{"key":"1653_CR22","doi-asserted-by":"publisher","first-page":"109529","DOI":"10.1016\/j.ejrad.2021.109529","volume":"136","author":"C Nardi","year":"2021","unstructured":"Nardi C et al (2021) Texture analysis in the characterization of parotid salivary gland lesions: a study on MR diffusion weighted imaging. Eur J Radiol 136:109529. https:\/\/doi.org\/10.1016\/j.ejrad.2021.109529","journal-title":"Eur J Radiol"},{"issue":"2","key":"1653_CR23","doi-asserted-by":"publisher","first-page":"126","DOI":"10.26574\/maedica.2019.14.2.126","volume":"14","author":"CC Mirestean","year":"2019","unstructured":"Mirestean CC et al (2019) Radiomic machine learning and texture analysis\u2014new horizons for head and neck oncology. Maedica (Bucur) 14(2):126\u2013130. https:\/\/doi.org\/10.26574\/maedica.2019.14.2.126","journal-title":"Maedica (Bucur)"},{"issue":"1","key":"1653_CR24","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/s40644-019-0193-9","volume":"19","author":"N Fujima","year":"2019","unstructured":"Fujima N et al (2019) The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies. Cancer Imaging 19(1):5. https:\/\/doi.org\/10.1186\/s40644-019-0193-9","journal-title":"Cancer Imaging"},{"key":"1653_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s11547-022-01477-6","author":"V Granata","year":"2022","unstructured":"Granata V et al (2022) Radiomics textural features by MR imaging to assess clinical outcomes following liver resection in colorectal liver metastases. Radiol Med. https:\/\/doi.org\/10.1007\/s11547-022-01477-6","journal-title":"Radiol Med"},{"issue":"2","key":"1653_CR26","doi-asserted-by":"publisher","first-page":"810","DOI":"10.3390\/app13020810","volume":"13","author":"L Calamandrei","year":"2023","unstructured":"Calamandrei L et al (2023) Morphological, functional and texture analysis magnetic resonance imaging features in the assessment of radiotherapy-induced xerostomia in oropharyngeal cancer. Appl Sci 13(2):810","journal-title":"Appl Sci"},{"issue":"9","key":"1653_CR27","doi-asserted-by":"publisher","first-page":"804","DOI":"10.1007\/s11547-019-01028-6","volume":"124","author":"F Mungai","year":"2019","unstructured":"Mungai F et al (2019) CT assessment of tumor heterogeneity and the potential for the prediction of human papillomavirus status in oropharyngeal squamous cell carcinoma. Radiol Med 124(9):804\u2013811. https:\/\/doi.org\/10.1007\/s11547-019-01028-6","journal-title":"Radiol Med"},{"issue":"4","key":"1653_CR28","doi-asserted-by":"publisher","first-page":"748","DOI":"10.3174\/ajnr.A5548","volume":"39","author":"A Ailianou","year":"2018","unstructured":"Ailianou A et al (2018) MRI with DWI for the detection of posttreatment head and neck squamous cell carcinoma: why morphologic MRI criteria matter. AJNR Am J Neuroradiol 39(4):748\u2013755. https:\/\/doi.org\/10.3174\/ajnr.A5548","journal-title":"AJNR Am J Neuroradiol"},{"issue":"9","key":"1653_CR29","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1007\/s00066-019-01483-0","volume":"195","author":"L Cozzi","year":"2019","unstructured":"Cozzi L et al (2019) Predicting survival and local control after radiochemotherapy in locally advanced head and neck cancer by means of computed tomography based radiomics. Strahlenther Onkol 195(9):805\u2013818. https:\/\/doi.org\/10.1007\/s00066-019-01483-0","journal-title":"Strahlenther Onkol"},{"issue":"1","key":"1653_CR30","doi-asserted-by":"publisher","first-page":"132","DOI":"10.2214\/AJR.21.26413","volume":"218","author":"E Sartoretti","year":"2022","unstructured":"Sartoretti E et al (2022) Contrast-enhanced T1-weighted head and neck MRI: prospective intraindividual image quality comparison of spiral GRE, Cartesian GRE, and Cartesian TSE sequences. AJR Am J Roentgenol 218(1):132\u2013139. https:\/\/doi.org\/10.2214\/AJR.21.26413","journal-title":"AJR Am J Roentgenol"},{"issue":"11","key":"1653_CR31","doi-asserted-by":"publisher","first-page":"1767","DOI":"10.3390\/jcm8111767","volume":"8","author":"JH Park","year":"2019","unstructured":"Park JH et al (2019) Texture analysis of multi-shot echo-planar diffusion-weighted imaging in head and neck squamous cell carcinoma: the diagnostic value for nodal metastasis. J Clin Med 8(11):1767. https:\/\/doi.org\/10.3390\/jcm8111767","journal-title":"J Clin Med"},{"issue":"10","key":"1653_CR32","doi-asserted-by":"publisher","first-page":"7440","DOI":"10.1007\/s00330-021-07758-4","volume":"31","author":"H Tomita","year":"2021","unstructured":"Tomita H et al (2021) Nodal-based radiomics analysis for identifying cervical lymph node metastasis at levels I and II in patients with oral squamous cell carcinoma using contrast-enhanced computed tomography. Eur Radiol 31(10):7440\u20137449. https:\/\/doi.org\/10.1007\/s00330-021-07758-4","journal-title":"Eur Radiol"},{"issue":"1","key":"1653_CR33","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.mric.2010.10.002","volume":"19","author":"J Schafer","year":"2011","unstructured":"Schafer J, Srinivasan A, Mukherji S (2011) Diffusion magnetic resonance imaging in the head and neck. Magn Reson Imaging Clin N Am 19(1):55\u201367. https:\/\/doi.org\/10.1016\/j.mric.2010.10.002","journal-title":"Magn Reson Imaging Clin N Am"},{"issue":"6","key":"1653_CR34","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1007\/s13244-012-0196-6","volume":"3","author":"F Davnall","year":"2012","unstructured":"Davnall F et al (2012) Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 3(6):573\u2013589. https:\/\/doi.org\/10.1007\/s13244-012-0196-6","journal-title":"Insights Imaging"},{"issue":"9","key":"1653_CR35","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1007\/s11547-020-01182-2","volume":"125","author":"M Pietragalla","year":"2020","unstructured":"Pietragalla M et al (2020) The role of diffusion-weighted and dynamic contrast enhancement perfusion-weighted imaging in the evaluation of salivary glands neoplasms. Radiol Med 125(9):851\u2013863. https:\/\/doi.org\/10.1007\/s11547-020-01182-2","journal-title":"Radiol Med"},{"issue":"1","key":"1653_CR36","doi-asserted-by":"publisher","first-page":"e000728","DOI":"10.1136\/rmdopen-2018-000728","volume":"4","author":"JL Bloem","year":"2018","unstructured":"Bloem JL et al (2018) MR signal intensity: staying on the bright side in MR image interpretation. RMD Open 4(1):e000728. https:\/\/doi.org\/10.1136\/rmdopen-2018-000728","journal-title":"RMD Open"},{"issue":"11","key":"1653_CR37","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1097\/RLI.0000000000000180","volume":"50","author":"D Mackin","year":"2015","unstructured":"Mackin D et al (2015) Measuring computed tomography scanner variability of radiomics features. Invest Radiol 50(11):757\u2013765. https:\/\/doi.org\/10.1097\/RLI.0000000000000180","journal-title":"Invest Radiol"},{"issue":"1086","key":"1653_CR38","doi-asserted-by":"publisher","first-page":"20170498","DOI":"10.1259\/bjr.20170498","volume":"91","author":"RT Leijenaar","year":"2018","unstructured":"Leijenaar RT et al (2018) Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study. Br J Radiol 91(1086):20170498. https:\/\/doi.org\/10.1259\/bjr.20170498","journal-title":"Br J Radiol"},{"issue":"3","key":"1653_CR39","doi-asserted-by":"publisher","first-page":"399","DOI":"10.21037\/qims.2019.03.08","volume":"9","author":"TA Miller","year":"2019","unstructured":"Miller TA et al (2019) Prognostic value of pre-treatment CT texture analysis in combination with change in size of the primary tumor in response to induction chemotherapy for HPV-positive oropharyngeal squamous cell carcinoma. Quant Imaging Med Surg 9(3):399\u2013408. https:\/\/doi.org\/10.21037\/qims.2019.03.08","journal-title":"Quant Imaging Med Surg"},{"issue":"10","key":"1653_CR40","doi-asserted-by":"publisher","first-page":"1897","DOI":"10.3174\/ajnr.A6756","volume":"41","author":"Y Choi","year":"2020","unstructured":"Choi Y et al (2020) Prediction of human papillomavirus status and overall survival in patients with untreated oropharyngeal squamous cell carcinoma: development and validation of CT-based radiomics. AJNR Am J Neuroradiol 41(10):1897\u20131904. https:\/\/doi.org\/10.3174\/ajnr.A6756","journal-title":"AJNR Am J Neuroradiol"}],"container-title":["La radiologia medica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11547-023-01653-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11547-023-01653-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11547-023-01653-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T10:18:56Z","timestamp":1688379536000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11547-023-01653-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,19]]},"references-count":40,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["1653"],"URL":"https:\/\/doi.org\/10.1007\/s11547-023-01653-2","relation":{},"ISSN":["1826-6983"],"issn-type":[{"value":"1826-6983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,19]]},"assertion":[{"value":"3 January 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 June 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have not disclosed any competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Ethical standards this article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical standards"}}]}}