{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T19:17:02Z","timestamp":1792783022881,"version":"4.5.0"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Guangzhou Basic and Applied Basic Research Foundation","award":["2023A03J0245"],"award-info":[{"award-number":["2023A03J0245"]}]},{"name":"the National Nature Science of Foundation of China","award":["82202259"],"award-info":[{"award-number":["82202259"]}]},{"name":"the Youth Talent Project of The Second Affiliated Hospital of Guangzhou University of Chinese Medicine","award":["ZY2022YL05"],"award-info":[{"award-number":["ZY2022YL05"]}],"id":[{"id":"https:\/\/ror.org\/01gb3y148","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-024-11220-6","type":"journal-article","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T14:08:13Z","timestamp":1733148493000},"page":"3158-3168","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Volumetric histogram analysis of amide proton transfer-weighted imaging for predicting complete tumor response to neoadjuvant chemoradiotherapy in locally advanced rectal adenocarcinoma"],"prefix":"10.1007","volume":"35","author":[{"given":"Wenjing","family":"Yuan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xia","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaxin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziqi","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qianling","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanliang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhao","family":"Dai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jieping","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weicui","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1662-477X","authenticated-orcid":false,"given":"Xian","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"key":"11220_CR1","doi-asserted-by":"crossref","first-page":"233","DOI":"10.3322\/caac.21772","volume":"73","author":"RL Siegel","year":"2023","unstructured":"Siegel RL, Wagle NS, Cercek A, Smith RA, Jemal A (2023) Colorectal cancer statistics, 2023. CA Cancer J Clin 73:233\u2013254","journal-title":"CA Cancer J Clin"},{"key":"11220_CR2","doi-asserted-by":"crossref","first-page":"5644","DOI":"10.1200\/JCO.2005.08.144","volume":"23","author":"J Folkesson","year":"2005","unstructured":"Folkesson J, Birgisson H, Pahlman L, Cedermark B, Glimelius B, Gunnarsson U (2005) Swedish rectal cancer trial: long lasting benefits from radiotherapy on survival and local recurrence rate. J Clin Oncol 23:5644\u20135650","journal-title":"J Clin Oncol"},{"key":"11220_CR3","doi-asserted-by":"crossref","first-page":"359","DOI":"10.6004\/jnccn.2018.0021","volume":"16","author":"AB Benson","year":"2018","unstructured":"Benson AB, Venook AP, Al-Hawary MM et al (2018) NCCN guidelines insights: colon cancer, version 2.2018. J Natl Compr Canc Netw 16:359\u2013369","journal-title":"J Natl Compr Canc Netw"},{"key":"11220_CR4","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.6004\/jnccn.2022.0051","volume":"20","author":"AB Benson","year":"2022","unstructured":"Benson AB, Venook AP, Al-Hawary MM et al (2022) Rectal cancer, version 2.2022, NCCN clinical practice guidelines in oncology. J Natl Compr Cancer Netw 20:1139\u20131167","journal-title":"J Natl Compr Cancer Netw"},{"key":"11220_CR5","doi-asserted-by":"crossref","DOI":"10.1016\/j.suronc.2022.101774","volume":"43","author":"C Cerd\u00e1n-Santacruz","year":"2022","unstructured":"Cerd\u00e1n-Santacruz C, Vailati BB, S\u00e3o Juli\u00e3o GP, Habr-Gama A, Perez RO (2022) Watch and wait: why, to whom and how. Surg Oncol 43:101774","journal-title":"Surg Oncol"},{"key":"11220_CR6","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1148\/radiol.13122697","volume":"269","author":"RA Gatenby","year":"2013","unstructured":"Gatenby RA, Grove O, Gillies RJ (2013) Quantitative imaging in cancer evolution and ecology. Radiology 269:8\u201315","journal-title":"Radiology"},{"key":"11220_CR7","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1111\/codi.13207","volume":"18","author":"JE Ryan","year":"2016","unstructured":"Ryan JE, Warrier SK, Lynch AC, Ramsay RG, Phillips WA, Heriot AG (2016) Predicting pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a systematic review. Colorectal Dis 18:234\u2013246","journal-title":"Colorectal Dis"},{"key":"11220_CR8","doi-asserted-by":"crossref","first-page":"1507","DOI":"10.1007\/s11864-023-01125-9","volume":"24","author":"S Amintas","year":"2023","unstructured":"Amintas S, Giraud N, Fernandez B et al (2023) The crying need for a better response assessment in rectal cancer. Curr Treat Options Oncol 24:1507\u20131523","journal-title":"Curr Treat Options Oncol"},{"key":"11220_CR9","doi-asserted-by":"crossref","first-page":"5761","DOI":"10.1007\/s00330-023-09480-9","volume":"33","author":"JB Yuval","year":"2023","unstructured":"Yuval JB, Patil S, Gangai N et al (2023) MRI assessment of rectal cancer response to neoadjuvant therapy: a multireader study. Eur Radiol 33:5761\u20135768","journal-title":"Eur Radiol"},{"key":"11220_CR10","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1038\/nrgastro.2014.41","volume":"11","author":"RG Beets-Tan","year":"2014","unstructured":"Beets-Tan RG, Beets GL (2014) MRI for assessing and predicting response to neoadjuvant treatment in rectal cancer. Nat Rev Gastroenterol Hepatol 11:480\u2013488","journal-title":"Nat Rev Gastroenterol Hepatol"},{"key":"11220_CR11","doi-asserted-by":"crossref","first-page":"W486","DOI":"10.2214\/AJR.11.8210","volume":"199","author":"UB Patel","year":"2012","unstructured":"Patel UB, Blomqvist LK, Taylor F et al (2012) MRI after treatment of locally advanced rectal cancer: how to report tumor response\u2014the MERCURY experience. AJR Am J Roentgenol 199:W486\u2013W495","journal-title":"AJR Am J Roentgenol"},{"key":"11220_CR12","volume":"18","author":"H Huang","year":"2023","unstructured":"Huang H, Han L, Guo J et al (2023) Multiphase and multiparameter MRI-based radiomics for prediction of tumor response to neoadjuvant therapy in locally advanced rectal cancer. Radiat Oncol 18:179","journal-title":"Radiat Oncol"},{"key":"11220_CR13","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.radonc.2021.06.019","volume":"161","author":"BS Jang","year":"2021","unstructured":"Jang BS, Lim YJ, Song C et al (2021) Image-based deep learning model for predicting pathological response in rectal cancer using post-chemoradiotherapy magnetic resonance imaging. Radiother Oncol 161:183\u2013190","journal-title":"Radiother Oncol"},{"key":"11220_CR14","doi-asserted-by":"crossref","first-page":"8889","DOI":"10.1007\/s00330-023-09920-6","volume":"33","author":"NW Schurink","year":"2023","unstructured":"Schurink NW, van Kranen SR, van Griethuysen JJM et al (2023) Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer. Eur Radiol 33:8889\u20138898","journal-title":"Eur Radiol"},{"key":"11220_CR15","doi-asserted-by":"crossref","first-page":"1120","DOI":"10.1002\/mrm.10651","volume":"50","author":"J Zhou","year":"2003","unstructured":"Zhou J, Lal B, Wilson DA, Laterra J, van Zijl PCM (2003) Amide proton transfer (APT) contrast for imaging of brain tumors. Magn Reson Med 50:1120\u20131126","journal-title":"Magn Reson Med"},{"key":"11220_CR16","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1002\/jmri.26645","volume":"50","author":"J Zhou","year":"2019","unstructured":"Zhou J, Heo HY, Knutsson L, van Zijl PCM, Jiang S (2019) APT-weighted MRI: techniques, current neuro applications, and challenging issues. J Magn Reson Imaging 50:347\u2013364","journal-title":"J Magn Reson Imaging"},{"key":"11220_CR17","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1002\/mrm.29241","volume":"88","author":"J Zhou","year":"2022","unstructured":"Zhou J, Zaiss M, Knutsson L et al (2022) Review and consensus recommendations on clinical APT-weighted imaging approaches at 3T: application to brain tumors. Magn Reson Med 88:546\u2013574","journal-title":"Magn Reson Med"},{"key":"11220_CR18","doi-asserted-by":"crossref","first-page":"901","DOI":"10.3389\/fneur.2018.00901","volume":"9","author":"G Lin","year":"2018","unstructured":"Lin G, Zhuang C, Shen Z et al (2018) APT weighted MRI as an effective imaging protocol to predict clinical outcome after acute ischemic stroke. Front Neurol 9:901","journal-title":"Front Neurol"},{"key":"11220_CR19","doi-asserted-by":"crossref","first-page":"6339","DOI":"10.1007\/s00330-020-06985-5","volume":"30","author":"S Qamar","year":"2020","unstructured":"Qamar S, King AD, Ai QH et al (2020) Pre-treatment amide proton transfer imaging predicts treatment outcome in nasopharyngeal carcinoma. Eur Radiol 30:6339\u20136347","journal-title":"Eur Radiol"},{"key":"11220_CR20","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1002\/jmri.28335","volume":"57","author":"Z Liu","year":"2023","unstructured":"Liu Z, Wen J, Wang M et al (2023) Breast amide proton transfer imaging at 3\u2009T: diagnostic performance and association with pathologic characteristics. J Magn Reson Imaging 57:824\u2013833","journal-title":"J Magn Reson Imaging"},{"key":"11220_CR21","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1002\/jmri.28691","volume":"58","author":"Y Ohno","year":"2023","unstructured":"Ohno Y, Yui M, Yamamoto K et al (2023) Chemical exchange saturation transfer MRI: capability for predicting therapeutic effect of chemoradiotherapy on non-small cell lung cancer patients. J Magn Reson Imaging 58:174\u2013186","journal-title":"J Magn Reson Imaging"},{"key":"11220_CR22","doi-asserted-by":"crossref","first-page":"3286","DOI":"10.1007\/s00330-020-07397-1","volume":"31","author":"W Chen","year":"2021","unstructured":"Chen W, Li L, Yan Z et al (2021) Three-dimension amide proton transfer MRI of rectal adenocarcinoma: correlation with pathologic prognostic factors and comparison with diffusion kurtosis imaging. Eur Radiol 31:3286\u20133296","journal-title":"Eur Radiol"},{"key":"11220_CR23","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1002\/jmri.27212","volume":"52","author":"L Li","year":"2020","unstructured":"Li L, Chen W, Yan Z et al (2020) Comparative analysis of amide proton transfer MRI and diffusion\u2010weighted imaging in assessing p53 and Ki-67 expression of rectal adenocarcinoma. J Magn Reson Imaging 52:1487\u20131496","journal-title":"J Magn Reson Imaging"},{"key":"11220_CR24","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1111\/jgh.14315","volume":"34","author":"A Nishie","year":"2019","unstructured":"Nishie A, Asayama Y, Ishigami K et al (2019) Amide proton transfer imaging to predict tumor response to neoadjuvant chemotherapy in locally advanced rectal cancer. J Gastroenterol Hepatol 34:140\u2013146","journal-title":"J Gastroenterol Hepatol"},{"key":"11220_CR25","volume":"11","author":"W Chen","year":"2021","unstructured":"Chen W, Mao L, Li L et al (2021) Predicting treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer using amide proton transfer MRI combined with diffusion-weighted imaging. Front Oncol 11:698427","journal-title":"Front Oncol"},{"key":"11220_CR26","doi-asserted-by":"crossref","first-page":"e4034","DOI":"10.1097\/MD.0000000000004034","volume":"95","author":"YQ Huang","year":"2016","unstructured":"Huang YQ, Liang HY, Yang ZX, Ding Y, Zeng MS, Rao SX (2016) Value of MR histogram analyses for prediction of microvascular invasion of hepatocellular carcinoma. Medicine (Baltimore) 95:e4034","journal-title":"Medicine (Baltimore)"},{"key":"11220_CR27","doi-asserted-by":"crossref","unstructured":"Liu P, Chen L, Wang Q-x et al (2020) Histogram analysis of T2 mapping for detecting early involvement of extraocular muscles in patients with thyroid-associated ophthalmopathy. Sci Rep 10:19445","DOI":"10.1038\/s41598-020-76341-6"},{"key":"11220_CR28","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1016\/j.ijrobp.2018.04.065","volume":"102","author":"N Dinapoli","year":"2018","unstructured":"Dinapoli N, Barbaro B, Gatta R et al (2018) Magnetic resonance, vendor-independent, intensity histogram analysis predicting pathologic complete response after radiochemotherapy of rectal cancer. Int J Radiat Oncol Biol Phys 102:765\u2013774","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"11220_CR29","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1007\/s00234-020-02547-0","volume":"63","author":"C Su","year":"2021","unstructured":"Su C, Jiang J, Liu C et al (2021) Comparison of amide proton transfer imaging and magnetization transfer imaging in revealing glioma grades and proliferative activities: a histogram analysis. Neuroradiology 63:685\u2013693","journal-title":"Neuroradiology"},{"key":"11220_CR30","doi-asserted-by":"crossref","first-page":"4133","DOI":"10.1007\/s00330-018-5832-1","volume":"29","author":"K Kamimura","year":"2019","unstructured":"Kamimura K, Nakajo M, Yoneyama T et al (2019) Histogram analysis of amide proton transfer-weighted imaging: comparison of glioblastoma and solitary brain metastasis in enhancing tumors and peritumoral regions. Eur Radiol 29:4133\u20134140","journal-title":"Eur Radiol"},{"key":"11220_CR31","doi-asserted-by":"crossref","first-page":"1465","DOI":"10.1007\/s00330-017-5026-2","volume":"28","author":"RGH Beets-Tan","year":"2018","unstructured":"Beets-Tan RGH, Lambregts DMJ, Maas M et al (2018) Magnetic resonance imaging for clinical management of rectal cancer: updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting. Eur Radiol 28:1465\u20131475","journal-title":"Eur Radiol"},{"key":"11220_CR32","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.phro.2021.03.003","volume":"18","author":"TT Pham","year":"2021","unstructured":"Pham TT, Liney G, Wong K et al (2021) Multi-parametric magnetic resonance imaging assessment of whole tumour heterogeneity for chemoradiotherapy response prediction in rectal cancer. Phys Imaging Radiat Oncol 18:26\u201333","journal-title":"Phys Imaging Radiat Oncol"},{"key":"11220_CR33","doi-asserted-by":"crossref","unstructured":"Ouyang G, Yang X, Deng X et al (2021) Predicting response to total neoadjuvant treatment (TNT) in locally advanced rectal cancer based on multiparametric magnetic resonance imaging: a retrospective study. Cancer Manag Res 13:5657\u20135669","DOI":"10.2147\/CMAR.S311501"},{"key":"11220_CR34","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.radonc.2014.11.026","volume":"113","author":"I Joye","year":"2014","unstructured":"Joye I, Deroose CM, Vandecaveye V, Haustermans K (2014) The role of diffusion-weighted MRI and 18F-FDG PET\/CT in the prediction of pathologic complete response after radiochemotherapy for rectal cancer: a systematic review. Radiother Oncol 113:158\u2013165","journal-title":"Radiother Oncol"},{"key":"11220_CR35","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1148\/radiol.2018171804","volume":"288","author":"N-E Enkhbaatar","year":"2018","unstructured":"Enkhbaatar N-E, Inoue S, Yamamuro H et al (2018) MR imaging with apparent diffusion coefficient histogram analysis: evaluation of locally advanced rectal cancer after chemotherapy and radiation therapy. Radiology 288:129\u2013137","journal-title":"Radiology"},{"key":"11220_CR36","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1002\/jmri.25117","volume":"44","author":"MH Choi","year":"2016","unstructured":"Choi MH, Oh SN, Rha SE et al (2016) Diffusion-weighted imaging: apparent diffusion coefficient histogram analysis for detecting pathologic complete response to chemoradiotherapy in locally advanced rectal cancer. J Magn Reson Imaging 44:212\u2013220","journal-title":"J Magn Reson Imaging"},{"key":"11220_CR37","doi-asserted-by":"crossref","first-page":"854","DOI":"10.1007\/s00330-022-09086-7","volume":"33","author":"F Iafrate","year":"2023","unstructured":"Iafrate F, Ciccarelli F, Masci GM et al (2023) Predictive role of diffusion-weighted MRI in the assessment of response to total neoadjuvant therapy in locally advanced rectal cancer. Eur Radiol 33:854\u2013862","journal-title":"Eur Radiol"},{"key":"11220_CR38","doi-asserted-by":"crossref","first-page":"W205","DOI":"10.2214\/AJR.17.19135","volume":"211","author":"S Amodeo","year":"2018","unstructured":"Amodeo S, Rosman AS, Desiato V et al (2018) MRI-based apparent diffusion coefficient for predicting pathologic response of rectal cancer after neoadjuvant therapy: systematic review and meta-analysis. AJR Am J Roentgenol 211:W205\u2013W216","journal-title":"AJR Am J Roentgenol"},{"key":"11220_CR39","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20180655","volume":"92","author":"NW Schurink","year":"2019","unstructured":"Schurink NW, Lambregts DMJ, Beets-Tan RGH (2019) Diffusion-weighted imaging in rectal cancer: current applications and future perspectives. Br J Radiol 92:20180655","journal-title":"Br J Radiol"},{"key":"11220_CR40","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1002\/jmri.25117","volume":"44","author":"MH Choi","year":"2015","unstructured":"Choi MH, Oh SN, Rha SE et al (2015) Diffusion-weighted imaging: apparent diffusion coefficient histogram analysis for detecting pathologic complete response to chemoradiotherapy in locally advanced rectal cancer. J Magn Reson Imaging 44:212\u2013220","journal-title":"J Magn Reson Imaging"},{"key":"11220_CR41","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1038\/nm907","volume":"9","author":"J Zhou","year":"2003","unstructured":"Zhou J, Payen JF, Wilson DA, Traystman RJ, van Zijl PC (2003) Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI. Nat Med 9:1085\u20131090","journal-title":"Nat Med"},{"key":"11220_CR42","doi-asserted-by":"crossref","first-page":"1268","DOI":"10.1002\/jmri.26702","volume":"50","author":"JE Meissner","year":"2019","unstructured":"Meissner JE, Korzowski A, Regnery S et al (2019) Early response assessment of glioma patients to definitive chemoradiotherapy using chemical exchange saturation transfer imaging at 7\u2009T. J Magn Reson Imaging 50:1268\u20131277","journal-title":"J Magn Reson Imaging"},{"key":"11220_CR43","doi-asserted-by":"crossref","first-page":"e200155","DOI":"10.1148\/rycan.2021200155","volume":"3","author":"S Zhang","year":"2021","unstructured":"Zhang S, Rauch GM, Adrada BE et al (2021) Assessment of early response to neoadjuvant systemic therapy in triple-negative breast cancer using amide proton transfer-weighted chemical exchange saturation transfer MRI: a pilot study. Radiol Imaging Cancer 3:e200155","journal-title":"Radiol Imaging Cancer"},{"key":"11220_CR44","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1002\/mrm.24450","volume":"70","author":"AN Dula","year":"2012","unstructured":"Dula AN, Arlinghaus LR, Dortch RD et al (2012) Amide proton transfer imaging of the breast at 3\u2009T: establishing reproducibility and possible feasibility assessing chemotherapy response. Magn Reson Med 70:216\u2013224","journal-title":"Magn Reson Med"},{"key":"11220_CR45","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1093\/neuonc\/not158","volume":"16","author":"O Togao","year":"2013","unstructured":"Togao O, Yoshiura T, Keupp J et al (2013) Amide proton transfer imaging of adult diffuse gliomas: correlation with histopathological grades. Neuro Oncol 16:441\u2013448","journal-title":"Neuro Oncol"},{"key":"11220_CR46","doi-asserted-by":"crossref","first-page":"5298","DOI":"10.1007\/s00330-019-06115-w","volume":"29","author":"H Yu","year":"2019","unstructured":"Yu H, Wen X, Wu P et al (2019) Can amide proton transfer-weighted imaging differentiate tumor grade and predict Ki-67 proliferation status of meningioma? Eur Radiol 29:5298\u20135306","journal-title":"Eur Radiol"},{"key":"11220_CR47","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1007\/s10434-001-0418-5","volume":"8","author":"NK Kim","year":"2001","unstructured":"Kim NK, Park JK, Lee KY et al (2001) p53, BCL-2, and Ki-67 expression according to tumor response after concurrent chemoradiotherapy for advanced rectal cancer. Ann Surg Oncol 8:418\u2013424","journal-title":"Ann Surg Oncol"},{"key":"11220_CR48","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1136\/jclinpath-2015-202985","volume":"69","author":"N Melling","year":"2016","unstructured":"Melling N, Kowitz CM, Simon R et al (2016) High Ki67 expression is an independent good prognostic marker in colorectal cancer. J Clin Pathol 69:209\u2013214","journal-title":"J Clin Pathol"},{"key":"11220_CR49","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1007\/s13244-012-0196-6","volume":"3","author":"F Davnall","year":"2012","unstructured":"Davnall F, Yip CSP, Ljungqvist G et al (2012) Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 3:573\u2013589","journal-title":"Insights Imaging"},{"key":"11220_CR50","doi-asserted-by":"crossref","first-page":"3809","DOI":"10.1007\/s00261-020-02509-3","volume":"45","author":"R De Robertis","year":"2020","unstructured":"De Robertis R, Bele\u00f9 A, Cardobi N et al (2020) Correlation of MR features and histogram-derived parameters with aggressiveness and outcomes after resection in pancreatic ductal adenocarcinoma. Abdom Radiol (NY) 45:3809\u20133818","journal-title":"Abdom Radiol (NY)"},{"key":"11220_CR51","doi-asserted-by":"crossref","first-page":"56454","DOI":"10.1021\/acsami.2c14628","volume":"14","author":"L Qian","year":"2022","unstructured":"Qian L, Li Q, Ding Z et al (2022) Prodrug nanosensitizer overcomes the radiation resistance of hypoxic tumor. ACS Appl Mater Interfaces 14:56454\u201356470","journal-title":"ACS Appl Mater Interfaces"},{"key":"11220_CR52","doi-asserted-by":"crossref","first-page":"2009","DOI":"10.1007\/s00330-015-4043-2","volume":"26","author":"H-Y Liang","year":"2016","unstructured":"Liang H-Y, Huang Y-Q, Yang Z-X, Zeng M-S, Rao S-X (2016) Potential of MR histogram analyses for prediction of response to chemotherapy in patients with colorectal hepatic metastases. Eur Radiol 26:2009\u20132018","journal-title":"Eur Radiol"},{"key":"11220_CR53","doi-asserted-by":"crossref","first-page":"6050","DOI":"10.3390\/cancers14246050","volume":"14","author":"R De Robertis","year":"2022","unstructured":"De Robertis R, Tomaiuolo L, Pasquazzo F et al (2022) Correlation between ADC histogram-derived metrics and the time to metastases in resectable pancreatic adenocarcinoma. Cancers (Basel) 14:6050","journal-title":"Cancers (Basel)"},{"key":"11220_CR54","first-page":"1343","volume":"79","author":"KJ Ray","year":"2019","unstructured":"Ray KJ, Simard MA, Larkin JR et al (2019) Tumor pH and protein concentration contribute to the signal of amide proton transfer magnetic resonance imaging. Cancer Res 79:1343\u20131352","journal-title":"Cancer Res"},{"key":"11220_CR55","doi-asserted-by":"crossref","first-page":"2687","DOI":"10.7150\/jca.25493","volume":"9","author":"H Peng","year":"2018","unstructured":"Peng H, Wang C, Xiao W et al (2018) Analysis of clinical characteristics to predict pathologic complete response for patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy. J Cancer 9:2687\u20132692","journal-title":"J Cancer"},{"key":"11220_CR56","doi-asserted-by":"crossref","first-page":"2068","DOI":"10.1111\/codi.15355","volume":"22","author":"Z Zheng","year":"2020","unstructured":"Zheng Z, Wang X, Huang Y, Lu X, Chi P (2020) Predictive value of changes in the level of carbohydrate antigen 19-9 in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy. Colorectal Dis 22:2068\u20132077","journal-title":"Colorectal Dis"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-024-11220-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-024-11220-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-024-11220-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T07:08:40Z","timestamp":1747292920000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-024-11220-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"references-count":56,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,6]]}},"alternative-id":["11220"],"URL":"https:\/\/doi.org\/10.1007\/s00330-024-11220-6","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,2]]},"assertion":[{"value":"29 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 October 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 December 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The scientific guarantor of this publication is Xian Liu.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"No complex statistical methods were necessary for this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was obtained from all subjects (patients) in this study.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Institutional Review Board approval was obtained.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"No study subjects have been previously reported.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}