{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T07:13:42Z","timestamp":1781766822700,"version":"3.54.5"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T00:00:00Z","timestamp":1753920000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T00:00:00Z","timestamp":1753920000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"DOI":"10.1186\/s12880-025-01847-2","type":"journal-article","created":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T18:23:46Z","timestamp":1753986226000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The use of diffusion-weighted magnetic resonance imaging and parametric response mapping for disease outcome prediction in nasopharyngeal carcinoma"],"prefix":"10.1186","volume":"25","author":[{"given":"Akarapong","family":"Teeraakaravipas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Napat","family":"Ritlumlert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yothin","family":"Rakvongthai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tunchanok","family":"Paprad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chawalit","family":"Lertbutsayanukul","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0861-2162","authenticated-orcid":false,"given":"Nutchawan","family":"Jittapiromsak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,31]]},"reference":[{"key":"1847_CR1","first-page":"209","volume":"71","author":"H Sung","year":"2021","unstructured":"Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209\u201349.","journal-title":"CA Cancer J Clin"},{"key":"1847_CR2","first-page":"394","volume":"68","author":"F Bray","year":"2018","unstructured":"Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394\u2013424.","journal-title":"CA Cancer J Clin"},{"key":"1847_CR3","doi-asserted-by":"publisher","first-page":"873","DOI":"10.6004\/jnccn.2020.0031","volume":"18","author":"DG Pfister","year":"2020","unstructured":"Pfister DG, Spencer S, Adelstein D, et al. Head and neck cancers. Version 2.2020, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 2020;18:873\u201398.","journal-title":"J Natl Compr Canc Netw"},{"key":"1847_CR4","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1002\/hed.20189","volume":"27","author":"TW Leung","year":"2005","unstructured":"Leung TW, Tung SY, Sze WK, Wong FCS, Yuen KK, Lui CMM, et al. Treatment results of 1070 patients with nasopharyngeal carcinoma: an analysis of survival and failure patterns. Head Neck. 2005;27:555\u201365.","journal-title":"Head Neck"},{"key":"1847_CR5","doi-asserted-by":"publisher","first-page":"11","DOI":"10.2214\/AJR.11.6954","volume":"198","author":"AKA Razek","year":"2012","unstructured":"Razek AKA, King AKA. MRI and CT of nasopharyngeal carcinoma. AJR Am J Roentgenol. 2012;198:11\u20138.","journal-title":"AJR Am J Roentgenol"},{"key":"1847_CR6","doi-asserted-by":"publisher","first-page":"6701","DOI":"10.1118\/1.4758068","volume":"39","author":"S Devic","year":"2012","unstructured":"Devic S. MRI simulation for radiotherapy treatment planning. Med Phys. 2012;39:6701\u201311.","journal-title":"Med Phys"},{"key":"1847_CR7","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1102\/1470-7330.2006.0021","volume":"6","author":"EM Charles-Edwards","year":"2006","unstructured":"Charles-Edwards EM, deSouza NM. Diffusion-weighted magnetic resonance imaging and its application to cancer. Cancer Imaging. 2006;6:135\u201343.","journal-title":"Cancer Imaging"},{"key":"1847_CR8","first-page":"307943","volume":"2015","author":"GY Zhang","year":"2015","unstructured":"Zhang GY, Wang YJ, Liu JP, Zhou XH, Xu ZF, Chen XP, et al. Pretreatment diffusion-weighted mri can predict the response to neoadjuvant chemotherapy in patients with nasopharyngeal carcinoma. BioMed Res Int. 2015;2015:307943.","journal-title":"BioMed Res Int"},{"key":"1847_CR9","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1177\/19714009211055191","volume":"35","author":"T Tangyoosuk","year":"2022","unstructured":"Tangyoosuk T, Lertbutsayanukul C, Jittapiromsak N. Utility of diffusion-weighted magnetic resonance imaging in predicting the treatment response of nasopharyngeal carcinoma. Neuroradiol J. 2022;35:477\u201385.","journal-title":"Neuroradiol J"},{"key":"1847_CR10","doi-asserted-by":"publisher","first-page":"649","DOI":"10.3348\/kjr.2018.0446","volume":"20","author":"SR Chung","year":"2019","unstructured":"Chung SR, Choi YJ, Suh CH, Lee JH, Baek JH. Diffusion-weighted magnetic resonance imaging for predicting response to chemoradiation therapy for head and neck squamous cell carcinoma: A systematic review. Korean J Radiol. 2019;20:649\u201361.","journal-title":"Korean J Radiol"},{"key":"1847_CR11","doi-asserted-by":"publisher","first-page":"18986","DOI":"10.1038\/s41598-021-98508-5","volume":"11","author":"MK Lee","year":"2021","unstructured":"Lee MK, Choi Y, Jung S-L. Diffusion-weighted MRI for predicting treatment response in patients with nasopharyngeal carcinoma: a systematic review and meta-analysis. Sci Rep. 2021;11:18986.","journal-title":"Sci Rep"},{"key":"1847_CR12","doi-asserted-by":"publisher","first-page":"111550","DOI":"10.1016\/j.ejrad.2024.111550","volume":"177","author":"M Parsaei","year":"2024","unstructured":"Parsaei M, Moghaddam H-S, Mazaheri P. The clinical utility of diffusion-weighted imaging in diagnosing and predicting treatment response of laryngeal and hypopharyngeal carcinoma: A systematic review and meta-analysis. Eur J Radiol. 2024;177:111550.","journal-title":"Eur J Radiol"},{"issue":"1","key":"1847_CR13","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1186\/s40644-025-00854-4","volume":"25","author":"QYH Ai","year":"2025","unstructured":"Ai QYH, Leung HS, Mo FK, Mao K, Wong LM, Liang YY, et al. Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma. Cancer Imaging. 2025;25(1):32.","journal-title":"Cancer Imaging"},{"key":"1847_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12885-021-09063-1","volume":"21","author":"L-T Liu","year":"2021","unstructured":"Liu L-T, Guo S-S, Li H, Lin C, Sun R, Chen Q-Y, et al. Percent change in apparent diffusion coefficient and plasma EBV DNA after induction chemotherapy identifies distinct prognostic response phenotypes in advanced nasopharyngeal carcinoma. BMC Cancer. 2021;21:1\u20139.","journal-title":"BMC Cancer"},{"key":"1847_CR15","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1593\/tlo.09175","volume":"2","author":"CJ Galb\u00e1n","year":"2009","unstructured":"Galb\u00e1n CJ, Mukherji SK, Chenevert TL, Meyer CR, Hamstra DA, Bland PH, et al. A feasibility study of parametric response map analysis of diffusion-weighted magnetic resonance imaging scans of head and neck cancer patients for providing early detection of therapeutic efficacy. Transl Oncol. 2009;2:184\u201390.","journal-title":"Transl Oncol"},{"key":"1847_CR16","doi-asserted-by":"publisher","first-page":"757","DOI":"10.3174\/ajnr.A4296","volume":"36","author":"AH Baer","year":"2015","unstructured":"Baer AH, Hoff BA, Srinivasan A, Galb\u00e1n CJ, Mukherji SK. Feasibility analysis of the parametric response map as an early predictor of treatment efficacy in head and neck cancer. AJNR Am J Neuroradiol. 2015;36:757\u201362.","journal-title":"AJNR Am J Neuroradiol"},{"key":"1847_CR17","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1038\/nm.1919","volume":"15","author":"CJ Galb\u00e1n","year":"2009","unstructured":"Galb\u00e1n CJ, Chenevert TL, Meyer CR, Tsien C, Lawrence TS, Hamstra DA, et al. The parametric response map is an imaging biomarker for early cancer treatment outcome. Nat Med. 2009;15:572\u201376.","journal-title":"Nat Med"},{"key":"1847_CR18","doi-asserted-by":"publisher","first-page":"012032","DOI":"10.1088\/1742-6596\/1505\/1\/012032","volume":"1505","author":"T Jirawatwanith","year":"2020","unstructured":"Jirawatwanith T, Tangyoosuk T, Lertbutsayanukul C, Jittapiromsak N, Rakvongthai Y. A potential biomarker from diffusion weighted imaging and parametric response map analysis for treatment response prediction in nasopharyngeal cancer. J Phys Conf S. 2020;1505:012032.","journal-title":"J Phys Conf S"},{"key":"1847_CR19","first-page":"93","volume":"67","author":"MB Amin","year":"2017","unstructured":"Amin MB, Greene FL, Edge SB, Compton CC, Gershenwald JE, Brookland RK, et al. The eighth edition AJCC cancer staging manual: continuing to build a Bridge from a population-based to a more personalized approach to cancer staging. CA Cancer J Clin. 2017;67:93\u20139. 8th ed.","journal-title":"CA Cancer J Clin"},{"key":"1847_CR20","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1186\/s13104-017-2990-1","volume":"10","author":"AH Siti-Azrin","year":"2017","unstructured":"Siti-Azrin AH, Norsa\u2019adah B, Naing NN. Prognostic factors of nasopharyngeal carcinoma patients in a tertiary referral hospital: a retrospective cohort study. BMC Res Notes. 2017;10:705.","journal-title":"BMC Res Notes"},{"key":"1847_CR21","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/j.ijrobp.2010.05.051","volume":"81","author":"M Hatakenaka","year":"2011","unstructured":"Hatakenaka M, Nakamura K, Yabuuchi H, Shioyama Y, Matsuo Y, Ohnishi K, et al. Pretreatment apparent diffusion coefficient of the primary lesion correlates with local failure in head-and-neck cancer treated with chemoradiotherapy or radiotherapy. Int J Radiat Oncol Biol Phys. 2011;81:339\u201345.","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"1847_CR22","doi-asserted-by":"publisher","first-page":"1703","DOI":"10.1007\/s00330-010-1734-6","volume":"20","author":"V Vandecaveye","year":"2010","unstructured":"Vandecaveye V, Dirix P, De Keyzer F, de Beeck KO, Vander Poorten V, Roebben I, et al. Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma. Eur Radiol. 2010;20:1703\u201314.","journal-title":"Eur Radiol"},{"key":"1847_CR23","doi-asserted-by":"publisher","first-page":"12242","DOI":"10.1038\/srep12242","volume":"5","author":"Y Zhang","year":"2015","unstructured":"Zhang Y, Liu X, Zhang Y, Li WF, Chen L, Mao YP, et al. Prognostic value of the primary lesion apparent diffusion coefficient (ADC) in nasopharyngeal carcinoma: a retrospective study of 541 cases. Sci Rep. 2015;5:12242.","journal-title":"Sci Rep"},{"key":"1847_CR24","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1186\/s12885-019-5684-3","volume":"19","author":"TX Huang","year":"2019","unstructured":"Huang TX, Lu N, Lian SS, Li H, Yin SH, Geng ZJ, et al. The primary lesion apparent diffusion coefficient is a prognostic factor for locoregionally advanced nasopharyngeal carcinoma: a retrospective study. BMC Cancer. 2019;19:470.","journal-title":"BMC Cancer"},{"key":"1847_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s43055-020-00323-x","volume":"51","author":"HM Khattab","year":"2020","unstructured":"Khattab HM, Montasser MM, Eid M, Kandil A, Desouky SED. Diffusion-weighted magnetic resonance imaging (DWMRI) of head and neck squamous cell carcinoma: could it be an imaging biomarker for prediction of response to chemoradiation therapy. Egypt J Radiol Nucl Med. 2020;51:1\u201314.","journal-title":"Egypt J Radiol Nucl Med"},{"key":"1847_CR26","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1007\/s11547-017-0733-y","volume":"122","author":"M Lombardi","year":"2017","unstructured":"Lombardi M, Cascone T, Guenzi E, Stecco A, Buemi F, Krengli M, et al. Predictive value of pre-treatment apparent diffusion coefficient (ADC) in radio-chemiotherapy treated head and neck squamous cell carcinoma. Radiol Med. 2017;122:345\u201352.","journal-title":"Radiol Med"},{"key":"1847_CR27","doi-asserted-by":"publisher","first-page":"678","DOI":"10.1186\/s12885-017-3658-x","volume":"17","author":"DF Yan","year":"2017","unstructured":"Yan DF, Zhang WB, Ke SB, Zhao F, Yan SX, Wang QD, et al. The prognostic value of pretreatment tumor apparent diffusion coefficient values in nasopharyngeal carcinoma. BMC Cancer. 2017;17:678.","journal-title":"BMC Cancer"},{"key":"1847_CR28","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.3390\/cancers12051234","volume":"12","author":"E Brenet","year":"2020","unstructured":"Brenet E, Barbe C, Hoeffel C, Dubernard X, Merol JC, Fath L, et al. Predictive value of early post-treatment diffusion-weighted MRI for recurrence or tumor progression of head and neck squamous cell carcinoma treated with chemo-radiotherapy. Cancers. 2020;12:1234.","journal-title":"Cancers"},{"key":"1847_CR29","doi-asserted-by":"publisher","first-page":"39","DOI":"10.2478\/raon-2019-0010","volume":"53","author":"M Garbajs","year":"2019","unstructured":"Garbajs M, Strojan P, Surlan-Popovic K. Prognostic role of diffusion weighted and dynamic contrast-enhanced MRI in loco-regionally advanced head and neck cancer treated with concomitant chemoradiotherapy. Radiol Oncol. 2019;53:39\u201348.","journal-title":"Radiol Oncol"},{"key":"1847_CR30","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1177\/0194599813496537","volume":"149","author":"J Hong","year":"2013","unstructured":"Hong J, Yao Y, Zhang Y, Tang T, Zhang H, Bao D, et al. Value of magnetic resonance diffusion-weighted imaging for the prediction of radiosensitivity in nasopharyngeal carcinoma. Otolaryngol Head Neck Surg. 2013;149:707\u201313.","journal-title":"Otolaryngol Head Neck Surg"},{"key":"1847_CR31","doi-asserted-by":"publisher","first-page":"1711","DOI":"10.1016\/j.acra.2020.08.015","volume":"28","author":"BA Hoff","year":"2021","unstructured":"Hoff BA, Lemasson B, Chenevert TL, Luker GD, Tsien CI, Amouzandeh G, et al. Parametric response mapping of FLAIR MRI provides an early indication of progression risk in glioblastoma. Acad Radiol. 2021;28:1711\u201320.","journal-title":"Acad Radiol"},{"key":"1847_CR32","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1593\/tlo.14121","volume":"7","author":"JL Boes","year":"2014","unstructured":"Boes JL, Hoff BA, Hylton N, Pickles MD, Turnbull LW, Schott AF, et al. Image registration for quantitative parametric response mapping of cancer treatment response. Transl Oncol. 2014;7:101\u201310.","journal-title":"Transl Oncol"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-025-01847-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-025-01847-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-025-01847-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T10:13:12Z","timestamp":1757326392000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-025-01847-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,31]]},"references-count":32,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["1847"],"URL":"https:\/\/doi.org\/10.1186\/s12880-025-01847-2","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,31]]},"assertion":[{"value":"6 June 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 July 2025","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 study have been performed in accordance with the Declaration of Helsinki. The institutional review boards of the Chulalongkorn University approved the study (IRB number 932\/63), and written informed consent was obtained from all included patients.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"308"}}