{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T22:53:37Z","timestamp":1791586417240,"version":"4.3.4"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T00:00:00Z","timestamp":1638144000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T00:00:00Z","timestamp":1638144000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Radiol med"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1007\/s11547-021-01428-7","type":"journal-article","created":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T08:02:47Z","timestamp":1638172967000},"page":"1584-1600","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Intrahepatic cholangiocarcinoma and its differential diagnosis at MRI: how radiologist should assess MR features"],"prefix":"10.1007","volume":"126","author":[{"given":"Vincenza","family":"Granata","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberta","family":"Grassi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberta","family":"Fusco","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergio Venanzio","family":"Setola","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Belli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Ottaiano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guglielmo","family":"Nasti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelearcangelo","family":"La Porta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ginevra","family":"Danti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salvatore","family":"Cappabianca","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carmen","family":"Cutolo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonella","family":"Petrillo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Izzo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,11,29]]},"reference":[{"issue":"11","key":"1428_CR1","doi-asserted-by":"publisher","first-page":"1282","DOI":"10.1016\/j.dld.2020.06.045","volume":"52","author":"Cholangiocarcinoma Working Group","year":"2020","unstructured":"Cholangiocarcinoma Working Group (2020) Italian clinical practice guidelines on cholangiocarcinoma\u2014part I: classification, diagnosis and staging. Dig Liver Dis 52(11):1282\u20131293. https:\/\/doi.org\/10.1016\/j.dld.2020.06.045","journal-title":"Dig Liver Dis"},{"issue":"12","key":"1428_CR2","doi-asserted-by":"publisher","first-page":"1430","DOI":"10.1016\/j.dld.2020.08.030","volume":"52","author":"Cholangiocarcinoma Working Group","year":"2020","unstructured":"Cholangiocarcinoma Working Group (2020) Italian clinical practice guidelines on cholangiocarcinoma\u2014part II: treatment. Dig Liver Dis 52(12):1430\u20131442. https:\/\/doi.org\/10.1016\/j.dld.2020.08.030","journal-title":"Dig Liver Dis"},{"key":"1428_CR3","doi-asserted-by":"publisher","first-page":"419","DOI":"10.4254\/wjh.v2.i12.419","volume":"2","author":"Y Nakanuma","year":"2010","unstructured":"Nakanuma Y, Sato Y, Harada K, Sasaki M, Xu J, Ikeda H (2010) Pathological classification of intrahepatic cholangiocarcinoma based on a new concept. World J Hepatol 2:419\u2013427","journal-title":"World J Hepatol"},{"key":"1428_CR4","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1002\/jhbp.154","volume":"22","author":"S Aishima","year":"2015","unstructured":"Aishima S, Oda Y (2015) Pathogenesis and classification of intrahepatic cholangiocarcinoma: different characters of perihilar large duct type versus peripheral small duct type. J Hepatobiliary Pancreat Sci 22:94\u2013100","journal-title":"J Hepatobiliary Pancreat Sci"},{"key":"1428_CR5","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/j.bpg.2015.02.006","volume":"29","author":"Y Nakanuma","year":"2015","unstructured":"Nakanuma Y, Kakuda Y (2015) Pathologic classification of cholangiocarcinoma: new concepts. Best Pract Res Clin Gastroenterol 29:277\u2013293","journal-title":"Best Pract Res Clin Gastroenterol"},{"issue":"2","key":"1428_CR6","doi-asserted-by":"publisher","first-page":"W64","DOI":"10.2214\/AJR.16.16923","volume":"209","author":"N Seo","year":"2017","unstructured":"Seo N, Kim DY, Choi JY (2017) Cross-sectional imaging of intrahepatic cholangiocarcinoma: development, growth, spread, and prognosis. AJR Am J Roentgenol 209(2):W64\u2013W75. https:\/\/doi.org\/10.2214\/AJR.16.16923","journal-title":"AJR Am J Roentgenol"},{"issue":"6","key":"1428_CR7","doi-asserted-by":"publisher","first-page":"300060519850398","DOI":"10.1177\/0300060519850398","volume":"48","author":"V Granata","year":"2020","unstructured":"Granata V, Fusco R, Setola SV, Avallone A, Palaia R, Grassi R, Izzo F, Petrillo A (2020) Radiological assessment of secondary biliary tree lesions: an update. J Int Med Res 48(6):300060519850398. https:\/\/doi.org\/10.1177\/0300060519850398","journal-title":"J Int Med Res"},{"issue":"6","key":"1428_CR8","doi-asserted-by":"publisher","first-page":"e0179951","DOI":"10.1371\/journal.pone.0179951","volume":"12","author":"V Granata","year":"2017","unstructured":"Granata V, Fusco R, Catalano O, Avallone A, Palaia R, Botti G, Tatangelo F, Granata F, Cascella M, Izzo F, Petrillo A (2017) Diagnostic accuracy of magnetic resonance, computed tomography and contrast enhanced ultrasound in radiological multimodality assessment of peribiliary liver metastases. PLoS ONE 12(6):e0179951. https:\/\/doi.org\/10.1371\/journal.pone.0179951","journal-title":"PLoS ONE"},{"issue":"7","key":"1428_CR9","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1007\/s12032-017-0981-7","volume":"34","author":"V Granata","year":"2017","unstructured":"Granata V, Fusco R, Catalano O, Avallone A, Leongito M, Izzo F, Petrillo A (2017) Peribiliary liver metastases MR findings. Med Oncol 34(7):124. https:\/\/doi.org\/10.1007\/s12032-017-0981-7","journal-title":"Med Oncol"},{"key":"1428_CR10","unstructured":"American College of Radiology (2018) CT\/MRI LI-RADS version 2018. https:\/\/www.acr.org\/Clinical-Resources\/Reporting-and-Data-Systems\/LI-RADS\/CT-MRI-LI-RADS-v2018. Accessed 1 Nov 2019"},{"key":"1428_CR11","volume-title":"WHO classification of tumours of the digestive system","author":"FT Bosman","year":"2010","unstructured":"Bosman FT, Carneiro F, Hruban RH, Theise ND (2010) WHO classification of tumours of the digestive system. World Health Organization, Geneva"},{"issue":"29","key":"1428_CR12","doi-asserted-by":"publisher","first-page":"4261","DOI":"10.3748\/wjg.v26.i29.4261","volume":"26","author":"R Inchingolo","year":"2020","unstructured":"Inchingolo R, Maino C, Gatti M, Tricarico E, Nardella M, Grazioli L, Sironi S, Ippolito D, Faletti R (2020) Gadoxetic acid magnetic-enhanced resonance imaging in the diagnosis of cholangiocarcinoma. World J Gastroenterol 26(29):4261\u20134271. https:\/\/doi.org\/10.3748\/wjg.v26.i29.4261","journal-title":"World J Gastroenterol"},{"key":"1428_CR13","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.2214\/ajr.176.6.1761499","volume":"176","author":"Y Maetani","year":"2001","unstructured":"Maetani Y, Itoh K, Watanabe C et al (2001) MR imaging of intrahepatic cholangiocarcinoma with pathologic correlation. AJR 176:1499\u20131507","journal-title":"AJR"},{"issue":"12","key":"1428_CR14","doi-asserted-by":"publisher","first-page":"1225","DOI":"10.1007\/s11547-020-01221-y","volume":"125","author":"N Shin","year":"2020","unstructured":"Shin N, Choi JA, Choi JM, Cho ES, Kim JH, Chung JJ, Yu JS (2020) Sclerotic changes of cavernous hemangioma in the cirrhotic liver: long-term follow-up using dynamic contrast-enhanced computed tomography. Radiol Med 125(12):1225\u20131232. https:\/\/doi.org\/10.1007\/s11547-020-01221-y (Epub 2020 May 15 PMID: 32415477)","journal-title":"Radiol Med"},{"key":"1428_CR15","doi-asserted-by":"publisher","first-page":"W603","DOI":"10.2214\/AJR.12.10262","volume":"201","author":"HT Jeong","year":"2013","unstructured":"Jeong HT, Kim MJ, Chung YE, Choi JY, Park YN, Kim KW (2013) Gadoxetate disodium-enhanced MRI of mass-forming intrahepatic cholangiocarcinomas: imaging-histologic correlation. AJR 201:W603\u2013W611","journal-title":"AJR"},{"issue":"22","key":"1428_CR16","doi-asserted-by":"publisher","first-page":"9697","DOI":"10.26355\/eurrev_201911_19531","volume":"23","author":"V Granata","year":"2019","unstructured":"Granata V, Fusco R, Venanzio Setola S, Mattace Raso M, Avallone A, De Stefano A, Nasti G, Palaia R, Delrio P, Petrillo A, Izzo F (2019) Liver radiologic findings of chemotherapy-induced toxicity in liver colorectal metastases patients. Eur Rev Med Pharmacol Sci 23(22):9697\u20139706. https:\/\/doi.org\/10.26355\/eurrev_201911_19531","journal-title":"Eur Rev Med Pharmacol Sci"},{"issue":"12","key":"1428_CR17","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1186\/s13027-017-0132-y","volume":"28","author":"V Granata","year":"2017","unstructured":"Granata V, Fusco R, Avallone A, Catalano O, Filice F, Leongito M, Palaia R, Izzo F, Petrillo A (2017) Major and ancillary magnetic resonance features of LI-RADS to assess HCC: an overview and update. Infect Agent Cancer 28(12):23. https:\/\/doi.org\/10.1186\/s13027-017-0132-y","journal-title":"Infect Agent Cancer"},{"key":"1428_CR18","doi-asserted-by":"publisher","first-page":"3918292","DOI":"10.1155\/2016\/3918292","volume":"2016","author":"V Granata","year":"2016","unstructured":"Granata V, Cascella M, Fusco R, dell\u2019Aprovitola N, Catalano O, Filice S, Schiavone V, Izzo F, Cuomo A, Petrillo A (2016) Immediate adverse reactions to gadolinium-based MR contrast media: a retrospective analysis on 10,608 examinations. Biomed Res Int 2016:3918292. https:\/\/doi.org\/10.1155\/2016\/3918292","journal-title":"Biomed Res Int"},{"key":"1428_CR19","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1148\/radiol.12112308","volume":"264","author":"Y Kang","year":"2012","unstructured":"Kang Y, Lee JM, Kim SH, Han JK, Choi BI (2012) Intrahepatic mass-forming cholangiocarcinoma: enhancement patterns on gadoxetic acid-enhanced MR images. Radiology 264:751\u2013760","journal-title":"Radiology"},{"key":"1428_CR20","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/s11547-019-01092-y","volume":"125","author":"A Esposito","year":"2020","unstructured":"Esposito A, Buscarino V, Raciti D, Casiraghi E, Manini M, Biondetti P, Forzenigo L (2020) Characterization of liver nodules in patients with chronic liver disease by MRI: performance of the Liver Imaging Reporting and Data System (LI-RADS vol 2018) scale and its comparison with the Likert scale. Radiol Med 125:15\u201323","journal-title":"Radiol Med"},{"issue":"7","key":"1428_CR21","doi-asserted-by":"publisher","first-page":"2364","DOI":"10.1007\/s00261-015-0488-7","volume":"40","author":"V Granata","year":"2015","unstructured":"Granata V, Catalano O, Fusco R, Tatangelo F, Rega D, Nasti G, Avallone A, Piccirillo M, Izzo F, Petrillo A (2015) The target sign in colorectal liver metastases: an atypical Gd-EOB-DTPA \u201cuptake\u201d on the hepatobiliary phase of MR imaging. Abdom Imaging 40(7):2364\u20132371. https:\/\/doi.org\/10.1007\/s00261-015-0488-7","journal-title":"Abdom Imaging"},{"issue":"8","key":"1428_CR22","doi-asserted-by":"publisher","first-page":"2788","DOI":"10.1007\/s00261-019-02056-6","volume":"44","author":"V Granata","year":"2019","unstructured":"Granata V, Fusco R, Setola SV, Picone C, Vallone P, Belli A, Incollingo P, Albino V, Tatangelo F, Izzo F, Petrillo A (2019) Microvascular invasion and grading in hepatocellular carcinoma: correlation with major and ancillary features according to LIRADS. Abdom Radiol (N Y) 44(8):2788\u20132800. https:\/\/doi.org\/10.1007\/s00261-019-02056-6","journal-title":"Abdom Radiol (N Y)"},{"issue":"31","key":"1428_CR23","doi-asserted-by":"publisher","first-page":"51224","DOI":"10.18632\/oncotarget.17227","volume":"8","author":"V Granata","year":"2017","unstructured":"Granata V, Fusco R, Avallone A, Filice F, Tatangelo F, Piccirillo M, Grassi R, Izzo F, Petrillo A (2017) Critical analysis of the major and ancillary imaging features of LI-RADS on 127 proven HCCs evaluated with functional and morphological MRI: Lights and shadows. Oncotarget 8(31):51224\u201351237. https:\/\/doi.org\/10.18632\/oncotarget.17227","journal-title":"Oncotarget"},{"issue":"14","key":"1428_CR24","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1186\/s13027-019-0264-3","volume":"27","author":"V Granata","year":"2019","unstructured":"Granata V, Fusco R, Maio F, Avallone A, Nasti G, Palaia R, Albino V, Grassi R, Izzo F, Petrillo A (2019) Qualitative assessment of EOB-GD-DTPA and Gd-BT-DO3A MR contrast studies in HCC patients and colorectal liver metastases. Infect Agent Cancer 27(14):40. https:\/\/doi.org\/10.1186\/s13027-019-0264-3","journal-title":"Infect Agent Cancer"},{"issue":"2","key":"1428_CR25","doi-asserted-by":"publisher","first-page":"149","DOI":"10.2478\/raon-2020-0029","volume":"54","author":"V Granata","year":"2020","unstructured":"Granata V, Fusco R, Venanzio Setola S, Sandomenico F, Luisa Barretta M, Belli A, Palaia R, Tatangelo F, Grassi R, Izzo F, Petrillo A (2020) Major and ancillary features according to LI-RADS in the assessment of combined hepatocellular-cholangiocarcinoma. Radiol Oncol 54(2):149\u2013158. https:\/\/doi.org\/10.2478\/raon-2020-0029","journal-title":"Radiol Oncol"},{"key":"1428_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-018-5893-1","author":"HS Lee","year":"2018","unstructured":"Lee HS, Kim MJ, An C (2018) How to utilize LR-M features of the LI-RADS to improve the diagnosis of combined hepatocellular-cholangiocarcinoma on gadoxetate-enhanced MRI? Eur Radiol. https:\/\/doi.org\/10.1007\/s00330-018-5893-1","journal-title":"Eur Radiol"},{"key":"1428_CR27","doi-asserted-by":"publisher","first-page":"25","DOI":"10.2214\/AJR.15.14997","volume":"207","author":"TA Potretzke","year":"2016","unstructured":"Potretzke TA, Tan BR, Doyle MB, Brunt EM, Heiken JP, Fowler KJ (2016) Imaging features of biphenotypic primary liver carcinoma (hepatocholangiocarcinoma) and the potential to mimic hepato- cellular carcinoma: LI-RADS analysis of CT and MRI features in 61 cases. AJR Am J Roentgenol 207:25\u201331","journal-title":"AJR Am J Roentgenol"},{"key":"1428_CR28","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1007\/s00261-012-9943-x","volume":"38","author":"HJ Park","year":"2013","unstructured":"Park HJ, Kim YK, Park MJ, Lee WJ (2013) Small intra- hepatic mass-forming cholangiocarcinoma: target sign on diffusion-weighted imaging for differentiation from hepatocellular carcinoma. Abdom Imaging 38:793\u2013801","journal-title":"Abdom Imaging"},{"key":"1428_CR29","doi-asserted-by":"publisher","first-page":"872","DOI":"10.1097\/RCT.0b013e31829d44c1","volume":"37","author":"MJ Park","year":"2013","unstructured":"Park MJ, Kim YK, Park HJ, Hwang J, Lee WJ (2013) Scirrhous hepatocellular carcinoma on gadoxetic acid-enhanced magnetic resonance imaging and diffusion-weighted imaging: emphasis on the differentiation of intrahepatic cholangiocarcinoma. J Comput Assist Tomogr 37:872\u2013881","journal-title":"J Comput Assist Tomogr"},{"issue":"9","key":"1428_CR30","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1007\/s11547-020-01185-z","volume":"125","author":"RP Mathew","year":"2020","unstructured":"Mathew RP, Sam M, Raubenheimer M, Patel V, Low G (2020) Hepatic hemangiomas: the various imaging avatars and its mimickers. Radiol Med 125(9):801\u2013815. https:\/\/doi.org\/10.1007\/s11547-020-01185-z","journal-title":"Radiol Med"},{"issue":"6","key":"1428_CR31","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/s11547-020-01142-w","volume":"125","author":"M Gabelloni","year":"2020","unstructured":"Gabelloni M, Di Nasso M, Morganti R, Faggioni L, Masi G, Falcone A, Neri E (2020) Application of the ESR iGuide clinical decision support system to the imaging pathway of patients with hepatocellular carcinoma and cholangiocarcinoma: preliminary findings. Radiol Med 125(6):531\u2013537. https:\/\/doi.org\/10.1007\/s11547-020-01142-w","journal-title":"Radiol Med"},{"key":"1428_CR32","doi-asserted-by":"publisher","DOI":"10.1007\/s11547-020-01240-9","author":"M Bozkurt","year":"2020","unstructured":"Bozkurt M, Eldem G, Bozbulut UB, Bozkurt MF, K\u0131l\u0131\u00e7kap S, Peynircio\u011flu B, \u00c7il B, Lay Erg\u00fcn E, Volkan-Salanci B (2020) Factors affecting the response to Y-90 microsphere therapy in the cholangiocarcinoma patients. Radiol Med. https:\/\/doi.org\/10.1007\/s11547-020-01240-9","journal-title":"Radiol Med"},{"key":"1428_CR33","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1007\/s11547-019-01127-4","volume":"125","author":"M Gatti","year":"2020","unstructured":"Gatti M, Calandri M, Bergamasco L, Darvizeh F, Grazioli L, Inchingolo R, Ippolito D, Rousset S, Veltri A, Fonio P et al (2020) Characterization of the arterial enhancement pattern of focal liver lesions by multiple arterial phase magnetic resonance imaging: Comparison between hepatocellular carcinoma and focal nodular hyperplasia. Radiol Med 125:348\u2013355","journal-title":"Radiol Med"},{"key":"1428_CR34","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/s11547-019-01093-x","volume":"125","author":"A Orlacchio","year":"2020","unstructured":"Orlacchio A, Chegai F, Roma S, Merolla S, Bosa A, Francioso S (2020) Degradable starch microspheres transarterial chemoembolization (DSMs-TACE) in patients with unresectable hepatocellular carcinoma (HCC): long-term results from a single-center 137-patient cohort prospective study. Radiol Med 125:98\u2013106","journal-title":"Radiol Med"},{"issue":"1","key":"1428_CR35","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s11547-020-01225-8","volume":"126","author":"M Barabino","year":"2021","unstructured":"Barabino M, Gurgitano M, Fochesato C, Angileri SA, Franceschelli G, Santambrogio R, Mariani NM, Opocher E, Carrafiello G (2021) LI-RADS to categorize liver nodules in patients at risk of HCC: tool or a gadget in daily practice? Radiol Med 126(1):5\u201313. https:\/\/doi.org\/10.1007\/s11547-020-01225-8 (Epub 2020 May 26 PMID: 32458272)","journal-title":"Radiol Med"},{"issue":"11","key":"1428_CR36","doi-asserted-by":"publisher","first-page":"1024","DOI":"10.1007\/s11547-020-01280-1","volume":"125","author":"N Schicchi","year":"2020","unstructured":"Schicchi N, Fogante M, Palumbo P, Agliata G, Esposto Pirani P, Di Cesare E, Giovagnoni A (2020) The sub-millisievert era in CTCA: the technical basis of the new radiation dose approach. Radiol Med 125(11):1024\u20131039. https:\/\/doi.org\/10.1007\/s11547-020-01280-1 (Epub 2020 Sep 15 PMID: 32930945)","journal-title":"Radiol Med"},{"key":"1428_CR37","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1007\/s11547-019-01089-7","volume":"125","author":"A Bottari","year":"2020","unstructured":"Bottari A, Silipigni S, Carerj ML, Cattafi A, Maimone S, Marino MA, Mazziotti S, Pitrone A, Squadrito G, Ascenti G (2020) Dual-source dual-energy CT in the evaluation of hepatic fractional extracellular space in cirrhosis. Radiol Med 125:7\u201314. https:\/\/doi.org\/10.1007\/s11547-019-01089-7","journal-title":"Radiol Med"},{"key":"1428_CR38","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1007\/s11547-020-01215-w","volume":"125","author":"F Crimi","year":"2020","unstructured":"Crimi F, Capelli G, Spolverato G, Bao QR, Florio A, Milite Rossi S, Cecchin D, Albertoni L, Campi C, Pucciarelli S et al (2020) MRI T2-weighted sequences-based texture analysis (TA) as a predictor of response to neoadjuvant chemo-radiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC). Radiol Med 125:1216\u20131224. https:\/\/doi.org\/10.1007\/s11547-020-01215-w","journal-title":"Radiol Med"},{"key":"1428_CR39","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1007\/s11547-020-01172-4","volume":"125","author":"G Danti","year":"2020","unstructured":"Danti G, Berti V, Abenavoli E, Briganti V, Linguanti F, Mungai F, Pradella S, Miele V (2020) Diagnostic imaging of typical lung carcinoids: relationship between MDCT, (111)In-Octreoscan and (18)F-FDG-PET imaging features with Ki-67 index. Radiol Med 125:715\u2013729. https:\/\/doi.org\/10.1007\/s11547-020-01172-4","journal-title":"Radiol Med"},{"issue":"4","key":"1428_CR40","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1007\/s11547-019-01131-8","volume":"125","author":"A Koc","year":"2020","unstructured":"Koc A, Sezgin OS, Kayipmaz S (2020) Comparing different planimetric methods on volumetric estimations by using cone beam computed tomography. Radiol Med 125(4):398\u2013405. https:\/\/doi.org\/10.1007\/s11547-019-01131-8","journal-title":"Radiol Med"},{"key":"1428_CR41","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/s11547-020-01197-9","volume":"125","author":"E Neri","year":"2020","unstructured":"Neri E, Miele V, Coppola F, Grassi R (2020) Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology. Radiol Med 125:505\u2013508","journal-title":"Radiol Med"},{"key":"1428_CR42","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1007\/s11547-020-01157-3","volume":"125","author":"A Farchione","year":"2020","unstructured":"Farchione A, Larici AR, Masciocchi C, Cicchetti G, Congedo MT, Franchi P, Gatta R, Lo Cicero S, Valentini V, Bonomo L et al (2020) Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data. Radiol Med 125:625\u2013635. https:\/\/doi.org\/10.1007\/s11547-020-01157-3","journal-title":"Radiol Med"},{"key":"1428_CR43","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1007\/s11547-020-01137-7","volume":"125","author":"R Fornell-Perez","year":"2020","unstructured":"Fornell-Perez R, Vivas-Escalona V, Aranda-Sanchez J, Gonzalez-Dominguez MC, Rubio-Garcia J, Aleman-Flores P, Lozano-Rodriguez A, Porcel-de-Peralta G, Loro-Ferrer JF (2020) Primary and post-chemoradiotherapy MRI detection of extramural venous invasion in rectal cancer: the role of diffusion-weighted imaging. Radiol Med 125:522\u2013530. https:\/\/doi.org\/10.1007\/s11547-020-01137-7","journal-title":"Radiol Med"},{"issue":"2","key":"1428_CR44","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s11547-020-01291-y","volume":"126","author":"D Caruso","year":"2021","unstructured":"Caruso D, Polici M, Zerunian M, Pucciarelli F, Polidori T, Guido G, Rucci C, Bracci B, Muscogiuri E, De Dominicis C, Laghi A (2021) Quantitative Chest CT analysis in discriminating COVID-19 from non-COVID-19 patients. Radiol Med 126(2):243\u2013249","journal-title":"Radiol Med"},{"issue":"4","key":"1428_CR45","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1007\/s11547-020-01305-9","volume":"126","author":"R Grassi","year":"2021","unstructured":"Grassi R, Belfiore MP, Montanelli A, Patelli G, Urraro F, Giacobbe G, Fusco R, Granata V, Petrillo A, Sacco P, Mazzei MA, Feragalli B, Reginelli A, Cappabianca S (2021) COVID-19 pneumonia: computer-aided quantification of healthy lung parenchyma, emphysema, ground glass and consolidation on chest computed tomography (CT). Radiol Med 126(4):553\u2013560","journal-title":"Radiol Med"},{"issue":"11","key":"1428_CR46","doi-asserted-by":"publisher","first-page":"1186","DOI":"10.1007\/s11547-020-01277-w","volume":"125","author":"M van Assen","year":"2020","unstructured":"van Assen M, Muscogiuri G, Caruso D, Lee SJ, Laghi A, De Cecco CN (2020) Artificial intelligence in cardiac radiology. Radiol Med 125(11):1186\u20131199. https:\/\/doi.org\/10.1007\/s11547-020-01277-w","journal-title":"Radiol Med"},{"issue":"5","key":"1428_CR47","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1007\/s11547-020-01138-6","volume":"125","author":"L Zhang","year":"2020","unstructured":"Zhang L, Kang L, Li G, Zhang X, Ren J, Shi Z, Li J, Yu S (2020) Computed tomography-based radiomics model for discriminating the risk stratification of gastrointestinal stromal tumors. Radiol Med 125(5):465\u2013473. https:\/\/doi.org\/10.1007\/s11547-020-01138-6","journal-title":"Radiol Med"},{"issue":"8","key":"1428_CR48","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1007\/s11547-020-01174-2","volume":"125","author":"HT Hu","year":"2020","unstructured":"Hu HT, Shan QY, Chen SL, Li B, Feng ST, Xu EJ, Li X, Long JY, Xie XY, Lu MD, Kuang M, Shen JX, Wang W (2020) CT-based radiomics for preoperative prediction of early recurrent hepatocellular carcinoma: technical reproducibility of acquisition and scanners. Radiol Med 125(8):697\u2013705. https:\/\/doi.org\/10.1007\/s11547-020-01174-2","journal-title":"Radiol Med"},{"issue":"4","key":"1428_CR49","doi-asserted-by":"publisher","first-page":"285","DOI":"10.3390\/jpm11040285.PMID:33917902;PMCID:PMC8068274","volume":"11","author":"V D'Agostino","year":"2021","unstructured":"D\u2019Agostino V, Caranci F, Negro A, Piscitelli V, Tuccillo B, Fasano F, Sirabella G, Marano I, Granata V, Grassi R, Pupo D, Grassi R (2021) A rare case of cerebral venous thrombosis and disseminated intravascular coagulation temporally associated to the COVID-19 vaccine administration. j pers med 11(4):285. https:\/\/doi.org\/10.3390\/jpm11040285.PMID:33917902;PMCID:PMC8068274","journal-title":"j pers med"},{"issue":"2","key":"1428_CR50","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/s11547-006-0016-5","volume":"111","author":"F La Seta","year":"2006","unstructured":"La Seta F, Buccellato A, Tes\u00e8 L, Biscaldi E, Rollandi GA, Barbiera F, Cappabianca S, Di Mizio R, Grassi R (2006) Multidetector-row CT enteroclysis: indications and clinical applications. Radiol Med 111(2):141\u2013158. https:\/\/doi.org\/10.1007\/s11547-006-0016-5 (English. Italian PMID: 16671373)","journal-title":"Radiol Med"},{"issue":"3","key":"1428_CR51","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s40477-021-00603-w","volume":"24","author":"V Cantisani","year":"2021","unstructured":"Cantisani V, Iannetti G, Miele V, Grassi R, Karaboue M, Cesarano E, Vimercati F, Calliada F (2021) Addendum to the sonographic medical act. J Ultrasoun 24(3):229\u2013230. https:\/\/doi.org\/10.1007\/s40477-021-00603-w (Epub 2021 Jul 9. PMID: 34241829; PMCID: PMC8363678)","journal-title":"J Ultrasoun"},{"issue":"16","key":"1428_CR52","doi-asserted-by":"publisher","first-page":"3992","DOI":"10.3390\/cancers13163992.PMID:34439148;PMCID:PMC8393664","volume":"13","author":"V Granata","year":"2021","unstructured":"Granata V, Fusco R, Costa M, Picone C, Cozzi D, Moroni C, La Casella GV, Montanino A, Monti R, Mazzoni F, Grassi R, Malagnino VG, Cappabianca S, Grassi R, Miele V, Petrillo A (2021) Preliminary report on computed tomography radiomics features as biomarkers to immunotherapy selection in lung adenocarcinoma patients. Cancers (Basel) 13(16):3992. https:\/\/doi.org\/10.3390\/cancers13163992.PMID:34439148;PMCID:PMC8393664","journal-title":"Cancers (Basel)"},{"issue":"14","key":"1428_CR53","doi-asserted-by":"publisher","first-page":"3590","DOI":"10.3390\/cancers13143590.PMID:34298803;PMCID:PMC8303203","volume":"13","author":"V Nardone","year":"2021","unstructured":"Nardone V, Boldrini L, Grassi R, Franceschini D, Morelli I, Becherini C, Loi M, Greto D, Desideri I (2021) Radiomics in the setting of neoadjuvant radiotherapy: a new approach for tailored treatment. Cancers (Basel) 13(14):3590. https:\/\/doi.org\/10.3390\/cancers13143590.PMID:34298803;PMCID:PMC8303203","journal-title":"Cancers (Basel)"},{"issue":"1","key":"1428_CR54","first-page":"1","volume":"36","author":"F Fiorini","year":"2019","unstructured":"Fiorini F, Granata A, Battaglia Y, Karaboue MAA (2019) Talking about medicine through mass media. G Ital Nefrol 36(1):1 (Italian, PMID: 30758148)","journal-title":"G Ital Nefrol"},{"key":"1428_CR55","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1007\/s11547-020-01183-1","volume":"125","author":"E Gundogdu","year":"2020","unstructured":"Gundogdu E, Emekli E, Kebapci M (2020) Evaluation of relationships between the final Gleason score, PI-RADS v2 score, ADC value, PSA level, and tumor diameter in patients that underwent radical prostatectomy due to prostate cancer. Radiol Med 125:827\u2013837. https:\/\/doi.org\/10.1007\/s11547-020-01183-1","journal-title":"Radiol Med"},{"key":"1428_CR56","doi-asserted-by":"publisher","first-page":"1209","DOI":"10.1007\/s11547-020-01210-1","volume":"125","author":"JH Han","year":"2020","unstructured":"Han JH, Ahn JH, Kim JS (2020) Magnetic resonance elastography for evaluation of renal parenchyma in chronic kidney disease: a pilot study. Radiol Med 125:1209\u20131215. https:\/\/doi.org\/10.1007\/s11547-020-01210-1","journal-title":"Radiol Med"},{"key":"1428_CR57","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11547-019-01087-9","volume":"125","author":"M Higashi","year":"2020","unstructured":"Higashi M, Tanabe M, Okada M, Furukawa M, Iida E, Ito K (2020) Influence of fat deposition on T1 mapping of the pancreas: evaluation by dual-flip-angle MR imaging with and without fat suppression. Radiol Med 125:1\u20136. https:\/\/doi.org\/10.1007\/s11547-019-01087-9","journal-title":"Radiol Med"},{"key":"1428_CR58","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1007\/s11547-020-01174-2","volume":"125","author":"HT Hu","year":"2020","unstructured":"Hu HT, Shan QY, Chen SL, Li B, Feng ST, Xu EJ, Li X, Long JY, Xie XY, Lu MD et al (2020) CT-based radiomics for preoperative prediction of early recurrent hepatocellular carcinoma: technical reproducibility of acquisition and scanners. Radiol Med 125:697\u2013705. https:\/\/doi.org\/10.1007\/s11547-020-01174-2","journal-title":"Radiol Med"},{"key":"1428_CR59","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1007\/s11547-020-01188-w","volume":"125","author":"M Kirienko","year":"2020","unstructured":"Kirienko M, Ninatti G, Cozzi L, Voulaz E, Gennaro N, Barajon I, Ricci F, Carlo-Stella C, Zucali P, Sollini M et al (2020) Computed tomography (CT)-derived radiomic features differentiate prevascular mediastinum masses as thymic neoplasms versus lymphomas. Radiol Med 125:951\u2013960. https:\/\/doi.org\/10.1007\/s11547-020-01188-w","journal-title":"Radiol Med"},{"key":"1428_CR60","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1007\/s11547-020-01152-8","volume":"125","author":"S Lian","year":"2020","unstructured":"Lian S, Zhang C, Chi J, Huang Y, Shi F, Xie C (2020) Differentiation between nasopharyngeal carcinoma and lymphoma at the primary site using whole-tumor histogram analysis of apparent diffusion coefficient maps. Radiol Med 125:647\u2013653. https:\/\/doi.org\/10.1007\/s11547-020-01152-8","journal-title":"Radiol Med"},{"key":"1428_CR61","doi-asserted-by":"publisher","first-page":"1124","DOI":"10.1007\/s11547-020-01279-8","volume":"125","author":"C Liguori","year":"2020","unstructured":"Liguori C, Farina D, Vaccher F, Ferrandino G, Bellini D, Carbone I (2020) Myocarditis: imaging up to date. Radiol Med 125:1124\u20131134. https:\/\/doi.org\/10.1007\/s11547-020-01279-8","journal-title":"Radiol Med"},{"key":"1428_CR62","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1007\/s11547-019-01105-w","volume":"125","author":"M Maddalo","year":"2020","unstructured":"Maddalo M, Buglione M, Pasinetti N, Triggiani L, Costa L, Magrini SM, Murphy BA (2020) The linguistic validation process of the Vanderbilt Head and Neck Symptom Survey\u2014Italian Version (VHNSS-IT). Radiol Med 125:228\u2013235. https:\/\/doi.org\/10.1007\/s11547-019-01105-w","journal-title":"Radiol Med"},{"key":"1428_CR63","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1007\/s11547-019-01125-6","volume":"125","author":"M Maddalo","year":"2020","unstructured":"Maddalo M, Buglione M, Pasinetti N, Triggiani L, Pegurri L, Magli A, Magrini SM, Murphy BA (2020) A pilot study on the Vanderbilt head and neck symptom survey Italian version (VHNSS-IT) to test its feasibility and utility in routine clinical practice. Radiol Med 125:423\u2013431. https:\/\/doi.org\/10.1007\/s11547-019-01125-6","journal-title":"Radiol Med"},{"key":"1428_CR64","doi-asserted-by":"publisher","first-page":"754","DOI":"10.1007\/s11547-020-01169-z","volume":"125","author":"M Nazari","year":"2020","unstructured":"Nazari M, Shiri I, Hajianfar G, Oveisi N, Abdollahi H, Deevband MR, Oveisi M, Zaidi H (2020) Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning. Radiol Med 125:754\u2013762. https:\/\/doi.org\/10.1007\/s11547-020-01169-z","journal-title":"Radiol Med"}],"container-title":["La radiologia medica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11547-021-01428-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11547-021-01428-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11547-021-01428-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T10:41:29Z","timestamp":1640256089000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11547-021-01428-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,29]]},"references-count":64,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["1428"],"URL":"https:\/\/doi.org\/10.1007\/s11547-021-01428-7","relation":{},"ISSN":["0033-8362","1826-6983"],"issn-type":[{"value":"0033-8362","type":"print"},{"value":"1826-6983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,29]]},"assertion":[{"value":"26 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 November 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2021","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 no conflict of interest to be disclosed. The authors confirm that the article is not under consideration for publication elsewhere. Each author has participated sufficiently to take public responsibility for the manuscript content.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Institutional review board approval was obtained for this retrospective study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Research involving human participants and\/or animals"}},{"value":"Informed consent was waived for the retrospective nature of the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}