{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,8]],"date-time":"2026-11-08T01:38:05Z","timestamp":1794101885056,"version":"4.8.0"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T00:00:00Z","timestamp":1781654400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T00:00:00Z","timestamp":1781654400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100005010","name":"Associazione Italiana per la Ricerca sul Cancro","doi-asserted-by":"publisher","award":["#2019-23822"],"award-info":[{"award-number":["#2019-23822"]}],"id":[{"id":"10.13039\/501100005010","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Updates Surg"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1007\/s13304-026-02649-z","type":"journal-article","created":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T14:01:51Z","timestamp":1781704911000},"page":"1889-1900","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["CT-based radiomics improves survival prediction in colorectal liver metastases: beyond clinical scores"],"prefix":"10.1007","volume":"78","author":[{"given":"Angela","family":"Ammirabile","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gilda","family":"Matteucci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Fiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisa","family":"Ragaini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sofia","family":"Moroni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ezio","family":"Lanza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lara","family":"Cavinato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacopo","family":"Galvanin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiara","family":"Masci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guido","family":"Costa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Laghi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guido","family":"Torzilli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Ieva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4108-4832","authenticated-orcid":false,"given":"Luca","family":"Vigan\u00f2","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,17]]},"reference":[{"key":"2649_CR1","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.annonc.2022.10.003","volume":"34","author":"A Cervantes","year":"2023","unstructured":"Cervantes A, Adam R, Rosell\u00f3 S et al (2023) Metastatic colorectal cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. Ann Oncol 34:10\u201332. https:\/\/doi.org\/10.1016\/j.annonc.2022.10.003","journal-title":"Ann Oncol"},{"key":"2649_CR2","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1007\/s11605-021-05123-w","volume":"26","author":"L Vigan\u00f2","year":"2022","unstructured":"Vigan\u00f2 L, Gentile D, Galvanin J et al (2022) Very early recurrence after liver resection for colorectal metastases: incidence, risk factors, and prognostic impact. J Gastrointest Surg 26:570\u2013582. https:\/\/doi.org\/10.1007\/s11605-021-05123-w","journal-title":"J Gastrointest Surg"},{"key":"2649_CR3","doi-asserted-by":"publisher","first-page":"608","DOI":"10.3748\/wjg.v28.i6.608","volume":"28","author":"L Vigan\u00f2","year":"2022","unstructured":"Vigan\u00f2 L, Jayakody Arachchige VS, Fiz F (2022) Is precision medicine for colorectal liver metastases still a utopia? New perspectives by modern biomarkers, radiomics, and artificial intelligence. World J Gastroenterol 28:608\u2013623. https:\/\/doi.org\/10.3748\/wjg.v28.i6.608","journal-title":"World J Gastroenterol"},{"key":"2649_CR4","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1093\/annonc\/mdl386","volume":"18","author":"L Rubbia-Brandt","year":"2007","unstructured":"Rubbia-Brandt L, Giostra E, Brezault C et al (2007) Importance of histological tumor response assessment in predicting the outcome in patients with colorectal liver metastases treated with neo-adjuvant chemotherapy followed by liver surgery. Ann Oncol 18:299\u2013304. https:\/\/doi.org\/10.1093\/annonc\/mdl386","journal-title":"Ann Oncol"},{"key":"2649_CR5","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1002\/bjs.10834","volume":"105","author":"S Yamashita","year":"2018","unstructured":"Yamashita S, Chun YS, Kopetz SE, Vauthey JN (2018) Biomarkers in colorectal liver metastases. Br J Surg 105:618\u2013627. https:\/\/doi.org\/10.1002\/bjs.10834","journal-title":"Br J Surg"},{"key":"2649_CR6","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1097\/sla.0000000000002319","volume":"269","author":"KW Brudvik","year":"2019","unstructured":"Brudvik KW, Jones RP, Giuliante F et al (2019) RAS Mutation clinical risk score to predict survival after resection of colorectal liver metastases. Ann Surg 269:120\u2013126. https:\/\/doi.org\/10.1097\/sla.0000000000002319","journal-title":"Ann Surg"},{"key":"2649_CR7","doi-asserted-by":"publisher","first-page":"2356","DOI":"10.3390\/cancers14102356","volume":"14","author":"K Bolhuis","year":"2022","unstructured":"Bolhuis K, Wensink GE, Elferink MAG et al (2022) External validation of two established clinical risk scores predicting outcome after local treatment of colorectal liver metastases in a nationwide cohort. Cancers (Basel) 14:2356. https:\/\/doi.org\/10.3390\/cancers14102356","journal-title":"Cancers (Basel)"},{"key":"2649_CR8","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.ejca.2022.01.012","volume":"168","author":"FE Buisman","year":"2022","unstructured":"Buisman FE, Giardiello D, Kemeny NE et al (2022) Predicting 10-year survival after resection of colorectal liver metastases; an international study including biomarkers and perioperative treatment. Eur J Cancer 168:25\u201333. https:\/\/doi.org\/10.1016\/j.ejca.2022.01.012","journal-title":"Eur J Cancer"},{"key":"2649_CR9","doi-asserted-by":"publisher","first-page":"1210","DOI":"10.1002\/bjs.10838","volume":"105","author":"GA Margonis","year":"2018","unstructured":"Margonis GA, Sasaki K, Gholami S et al (2018) Genetic and morphological evaluation (game) score for patients with colorectal liver metastases. Br J Surg 105:1210\u20131220. https:\/\/doi.org\/10.1002\/bjs.10838","journal-title":"Br J Surg"},{"key":"2649_CR10","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.suronc.2019.05.014","volume":"29","author":"Y He","year":"2019","unstructured":"He Y, Ong Y, Li X et al (2019) Performance of prediction models on survival outcomes of colorectal cancer with surgical resection: a systematic review and meta-analysis. Surg Oncol 29:196\u2013202. https:\/\/doi.org\/10.1016\/j.suronc.2019.05.014","journal-title":"Surg Oncol"},{"key":"2649_CR11","doi-asserted-by":"publisher","first-page":"625","DOI":"10.3390\/cancers18040625","volume":"18","author":"L Vigan\u00f2","year":"2026","unstructured":"Vigan\u00f2 L, Risi L, Ragaini E, Ieva F, Desiato E (2026) Prognostic scores for liver resection in colorectal metastases: performance, limitations, and methodological pitfalls\u2014a systematic review and meta-analysis. Cancers 18:625. https:\/\/doi.org\/10.3390\/cancers18040625","journal-title":"Cancers"},{"key":"2649_CR12","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1002\/cjp2.178","volume":"7","author":"P Baldin","year":"2021","unstructured":"Baldin P, Van den Eynde M, Mlecnik B et al (2021) Prognostic assessment of resected colorectal liver metastases integrating pathological features, RAS mutation and Immunoscore. J Pathol Clin Res 7:27\u201341. https:\/\/doi.org\/10.1002\/cjp2.178","journal-title":"J Pathol Clin Res"},{"key":"2649_CR13","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1038\/s41416-022-01859-7","volume":"127","author":"E Latacz","year":"2022","unstructured":"Latacz E, H\u00f6ppener D, Bohlok A et al (2022) Histopathological growth patterns of liver metastasis: updated consensus guidelines for pattern scoring, perspectives and recent mechanistic insights. Br J Cancer 127:988\u20131013. https:\/\/doi.org\/10.1038\/s41416-022-01859-7","journal-title":"Br J Cancer"},{"key":"2649_CR14","doi-asserted-by":"publisher","first-page":"2877","DOI":"10.1245\/s10434-020-08284-1","volume":"27","author":"A Brouquet","year":"2020","unstructured":"Brouquet A, Blot C, Allard MA et al (2020) What is the prognostic value of a discordant radiologic and pathologic response in patients undergoing resection of colorectal liver metastases after preoperative chemotherapy? Ann Surg Oncol 27:2877\u20132885. https:\/\/doi.org\/10.1245\/s10434-020-08284-1","journal-title":"Ann Surg Oncol"},{"key":"2649_CR15","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1148\/radiol.2015151169","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies RJ, Kinahan PE, Hricak H (2016) Radiomics: images are more than pictures, they are data. Radiology 278:563\u2013577. https:\/\/doi.org\/10.1148\/radiol.2015151169","journal-title":"Radiology"},{"key":"2649_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2025.112325","author":"A Ammirabile","year":"2025","unstructured":"Ammirabile A, Levi R, Boldrini L et al (2025) MRI-based radiomics predicts the pathologic response of colorectal liver metastases to systemic therapy: a multicenter study. Eur J Radiology:112325. https:\/\/doi.org\/10.1016\/j.ejrad.2025.112325","journal-title":"Eur J Radiology:112325"},{"key":"2649_CR17","doi-asserted-by":"publisher","first-page":"2058","DOI":"10.1007\/s00330-017-5146-8","volume":"28","author":"L Yang","year":"2018","unstructured":"Yang L, Dong D, Fang M et al (2018) Can CT-based radiomics signature predict KRAS\/NRAS\/BRAF mutations in colorectal cancer? Eur Radiol 28:2058\u20132067. https:\/\/doi.org\/10.1007\/s00330-017-5146-8","journal-title":"Eur Radiol"},{"key":"2649_CR18","doi-asserted-by":"publisher","first-page":"2881","DOI":"10.3390\/cancers12102881","volume":"12","author":"F Fiz","year":"2020","unstructured":"Fiz F, Vigan\u00f2 L, Gennaro N et al (2020) Radiomics of liver metastases: a systematic review. Cancers (Basel) 12:2881. https:\/\/doi.org\/10.3390\/cancers12102881","journal-title":"Cancers (Basel)"},{"key":"2649_CR19","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1177\/2050640615601603","volume":"4","author":"SX Rao","year":"2016","unstructured":"Rao SX, Lambregts DM, Schnerr RS et al (2016) CT texture analysis in colorectal liver metastases: a better way than size and volume measurements to assess response to chemotherapy? United Eur Gastroenterol J 4:257\u2013263. https:\/\/doi.org\/10.1177\/2050640615601603","journal-title":"United Eur Gastroenterol J"},{"key":"2649_CR20","doi-asserted-by":"publisher","first-page":"1552","DOI":"10.3390\/diagnostics14141552","volume":"14","author":"F Fiz","year":"2024","unstructured":"Fiz F, Ragaini EM, Sirchia S et al (2024) Radiomic gradient in peritumoural tissue of liver metastases: a biomarker for clinical practice? Analysing density, entropy, and uniformity variations with distance from the tumour. Diagnostics 14:1552. https:\/\/doi.org\/10.3390\/diagnostics14141552","journal-title":"Diagnostics"},{"key":"2649_CR21","doi-asserted-by":"publisher","first-page":"4587","DOI":"10.1245\/s10434-019-07910-x","volume":"26","author":"J Cheng","year":"2019","unstructured":"Cheng J, Wei J, Tong T et al (2019) Prediction of histopathologic growth patterns of colorectal liver metastases with a noninvasive imaging method. Ann Surg Oncol 26:4587\u20134598. https:\/\/doi.org\/10.1245\/s10434-019-07910-x","journal-title":"Ann Surg Oncol"},{"key":"2649_CR22","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/s10585-024-10275-5","volume":"41","author":"S Wei","year":"2024","unstructured":"Wei S, Gou X, Zhang Y et al (2024) Prediction of transformation in the histopathological growth pattern of colorectal liver metastases after chemotherapy using CT-based radiomics. Clin Exp Metastasis 41:143\u2013154. https:\/\/doi.org\/10.1007\/s10585-024-10275-5","journal-title":"Clin Exp Metastasis"},{"key":"2649_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejso.2024.109557","author":"A Ammirabile","year":"2025","unstructured":"Ammirabile A, Cavinato L, Ferro CAP et al (2025) CT-radiomics and pathological tumor response to systemic therapy: a predictive analysis for colorectal liver metastases. Development and internal validation of a clinical-radiomic model. Eur J Surg Oncol. https:\/\/doi.org\/10.1016\/j.ejso.2024.109557","journal-title":"Eur J Surg Oncol"},{"key":"2649_CR24","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1097\/00000658-199909000-00004","volume":"230","author":"Y Fong","year":"1999","unstructured":"Fong Y, Fortner J, Sun RL, Brennan MF, Blumgart LH (1999) Clinical score for predicting recurrence after hepatic resection for metastatic colorectal cancer: analysis of 1001 consecutive cases. Ann Surg 230:309\u2013318 discussion 318\u2013321. https:\/\/doi.org\/10.1097\/00000658-199909000-00004","journal-title":"Ann Surg"},{"key":"2649_CR25","doi-asserted-by":"publisher","first-page":"4786","DOI":"10.1158\/0008-5472.Can-18-0125","volume":"78","author":"C Nioche","year":"2018","unstructured":"Nioche C, Orlhac F, Boughdad S et al (2018) LIFEx: A freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity. Cancer Res 78:4786\u20134789. https:\/\/doi.org\/10.1158\/0008-5472.Can-18-0125","journal-title":"Cancer Res"},{"key":"2649_CR26","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1148\/radiol.2020191145","volume":"295","author":"A Zwanenburg","year":"2020","unstructured":"Zwanenburg A, Valli\u00e8res M, Abdalah MA et al (2020) The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping. Radiology 295:328\u2013338. https:\/\/doi.org\/10.1148\/radiol.2020191145","journal-title":"Radiology"},{"key":"2649_CR27","unstructured":"Jarrett D, Cebere BC, Liu T, Curth A, Schaar Mvd (2022) HyperImpute: generalized iterative imputation with automatic model selection. In: Kamalika C, Stefanie J, Le S, Csaba S, Gang N, Sivan S, (eds) Proceedings of the 39th International conference on machine learning. PMLR, Proceedings of Machine Learning Research, pp 9916\u20139937"},{"key":"2649_CR28","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1097\/sla.0000000000006884","volume":"282","author":"L Vigan\u00f2","year":"2025","unstructured":"Vigan\u00f2 L, Risi L, Dasari BVM et al (2025) Benchmarking oncologic outcomes of liver resection for colorectal metastases: livermetsurvey-based reference values for evaluating alternative treatments. Ann Surg 282:876\u2013887. https:\/\/doi.org\/10.1097\/sla.0000000000006884","journal-title":"Ann Surg"},{"key":"2649_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v036.i11","volume":"36","author":"MB Kursa","year":"2010","unstructured":"Kursa MB, Rudnicki WR (2010) Feature selection with the boruta package. J Stat Softw 36:1\u201313. https:\/\/doi.org\/10.18637\/jss.v036.i11","journal-title":"J Stat Softw"},{"key":"2649_CR30","doi-asserted-by":"publisher","first-page":"19607","DOI":"10.1038\/s41598-022-23752-2","volume":"12","author":"L Cavinato","year":"2022","unstructured":"Cavinato L, Pegoraro M, Ragni A, Sollini M, Erba PA, Ieva F (2022) Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance. Sci Rep 12:19607. https:\/\/doi.org\/10.1038\/s41598-022-23752-2","journal-title":"Sci Rep"},{"key":"2649_CR31","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1137\/0218082","volume":"18","author":"K Zhang","year":"1989","unstructured":"Zhang K, Shasha D (1989) Simple fast algorithms for the editing distance between trees and related problems. SIAM J Comput 18:1245\u20131262. https:\/\/doi.org\/10.1137\/0218082","journal-title":"SIAM J Comput"},{"key":"2649_CR32","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s13304-025-02485-7","volume":"78","author":"S Buonanno","year":"2026","unstructured":"Buonanno S, Corallino D, Pires Marafon D et al (2026) Early unresectable relapse after hepatic resection for colorectal liver metastases: a focus on time to surgical failure. Updates Surg 78:209\u2013217. https:\/\/doi.org\/10.1007\/s13304-025-02485-7","journal-title":"Updates Surg"},{"key":"2649_CR33","doi-asserted-by":"publisher","first-page":"2457","DOI":"10.1007\/s13304-025-02348-1","volume":"77","author":"AM De Rose","year":"2025","unstructured":"De Rose AM, Panettieri E, Campisi A et al (2025) Comprehensive management of synchronous colorectal liver metastases at a high-volume center: a propensity score-matched analysis. Updates Surg 77:2457\u20132466. https:\/\/doi.org\/10.1007\/s13304-025-02348-1","journal-title":"Updates Surg"},{"key":"2649_CR34","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1007\/s13304-023-01735-w","volume":"76","author":"R Tutino","year":"2024","unstructured":"Tutino R, Bonomi A, Zingaretti CC et al (2024) Locally advanced mid\/low rectal cancer with synchronous resectable liver metastases: systematic review of the available strategies and outcome. Updates Surg 76:345\u2013361. https:\/\/doi.org\/10.1007\/s13304-023-01735-w","journal-title":"Updates Surg"},{"key":"2649_CR35","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1007\/s13304-024-01835-1","volume":"76","author":"FA Alvarez","year":"2024","unstructured":"Alvarez FA, Ardiles V, Chara C et al (2024) Adjuvant chemotherapy is associated with better oncological outcomes after ALPPS for colorectal liver metastases. Updates Surg 76:855\u2013868. https:\/\/doi.org\/10.1007\/s13304-024-01835-1","journal-title":"Updates Surg"},{"key":"2649_CR36","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1007\/s13304-024-01827-1","volume":"76","author":"Q Lai","year":"2024","unstructured":"Lai Q, Parisse S, Ginanni Corradini S et al (2024) Evolution of transplant oncology indications: a single-institution experience over 40 years. Updates Surg 76:911\u2013921. https:\/\/doi.org\/10.1007\/s13304-024-01827-1","journal-title":"Updates Surg"},{"key":"2649_CR37","doi-asserted-by":"publisher","first-page":"582","DOI":"10.23736\/s2724-5691.22.09716-7","volume":"77","author":"P Avella","year":"2022","unstructured":"Avella P, Vaschetti R, Cappuccio M et al (2022) The role of liver surgery in simultaneous synchronous colorectal liver metastases and colorectal cancer resections: a literature review of 1730 patients underwent open and minimally invasive surgery. Minerva Surg 77:582\u2013590. https:\/\/doi.org\/10.23736\/s2724-5691.22.09716-7","journal-title":"Minerva Surg"},{"key":"2649_CR38","doi-asserted-by":"publisher","first-page":"1316","DOI":"10.1016\/j.hpb.2022.01.003","volume":"24","author":"GYM Wong","year":"2022","unstructured":"Wong GYM, Bhimani N, Mol B et al (2022) Performance of prognostic models incorporating KRAS mutation status to predict survival after resection of colorectal liver metastases. HPB 24:1316\u20131325. https:\/\/doi.org\/10.1016\/j.hpb.2022.01.003","journal-title":"HPB"},{"key":"2649_CR39","doi-asserted-by":"publisher","first-page":"1101","DOI":"10.1002\/bjs.6735","volume":"96","author":"MD Smith","year":"2009","unstructured":"Smith MD, McCall JL (2009) Systematic review of tumour number and outcome after radical treatment of colorectal liver metastases. Br J Surg 96:1101\u20131113. https:\/\/doi.org\/10.1002\/bjs.6735","journal-title":"Br J Surg"},{"key":"2649_CR40","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1038\/bjc.2017.218","volume":"117","author":"MA Allard","year":"2017","unstructured":"Allard MA, Adam R, Giuliante F et al (2017) Long-term outcomes of patients with 10 or more colorectal liver metastases. Br J Cancer 117:604\u2013611. https:\/\/doi.org\/10.1038\/bjc.2017.218","journal-title":"Br J Cancer"},{"key":"2649_CR41","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.ejrad.2018.02.031","volume":"102","author":"RCJ Beckers","year":"2018","unstructured":"Beckers RCJ, Trebeschi S, Maas M et al (2018) CT texture analysis in colorectal liver metastases and the surrounding liver parenchyma and its potential as an imaging biomarker of disease aggressiveness, response and survival. Eur J Radiol 102:15\u201321. https:\/\/doi.org\/10.1016\/j.ejrad.2018.02.031","journal-title":"Eur J Radiol"},{"key":"2649_CR42","doi-asserted-by":"publisher","first-page":"e0307815","DOI":"10.1371\/journal.pone.0307815","volume":"19","author":"E Montagnon","year":"2024","unstructured":"Montagnon E, Cerny M, Hamilton V et al (2024) Radiomics analysis of baseline computed tomography to predict oncological outcomes in patients treated for resectable colorectal cancer liver metastasis. PLoS ONE 19:e0307815. https:\/\/doi.org\/10.1371\/journal.pone.0307815","journal-title":"PLoS ONE"},{"key":"2649_CR43","doi-asserted-by":"publisher","first-page":"9584","DOI":"10.1245\/s10434-025-18248-y","volume":"32","author":"S Marzi","year":"2025","unstructured":"Marzi S, Vidiri A, Ianiro A et al (2025) CT-based radiomics models with external validation for prediction of recurrence and disease-specific mortality after radical surgery of colorectal liver metastases. Ann Surg Oncol 32:9584\u20139596. https:\/\/doi.org\/10.1245\/s10434-025-18248-y","journal-title":"Ann Surg Oncol"},{"key":"2649_CR44","doi-asserted-by":"publisher","first-page":"1198","DOI":"10.1007\/s12094-024-03645-8","volume":"27","author":"S Fu","year":"2025","unstructured":"Fu S, Chen D, Zhang Y et al (2025) A CT-based radiomics tumor quality and quantity model to predict early recurrence after radical surgery for colorectal liver metastases. Clin Transl Oncol 27:1198\u20131210. https:\/\/doi.org\/10.1007\/s12094-024-03645-8","journal-title":"Clin Transl Oncol"},{"key":"2649_CR45","doi-asserted-by":"publisher","first-page":"111459","DOI":"10.1016\/j.ejrad.2024.111459","volume":"175","author":"Q Wang","year":"2024","unstructured":"Wang Q, Nilsson H, Xu K et al (2024) Exploring tumor heterogeneity in colorectal liver metastases by imaging: unsupervised machine learning of preoperative CT radiomics features for prognostic stratification. Eur J Radiol 175:111459. https:\/\/doi.org\/10.1016\/j.ejrad.2024.111459","journal-title":"Eur J Radiol"},{"key":"2649_CR46","doi-asserted-by":"publisher","first-page":"9196","DOI":"10.1245\/s10434-024-15373-y","volume":"31","author":"G Karagkounis","year":"2024","unstructured":"Karagkounis G, Horvat N, Danilova S et al (2024) Computed tomography-based radiomics with machine learning outperforms radiologist assessment in estimating colorectal liver metastases pathologic response after chemotherapy. Ann Surg Oncol 31:9196\u20139204. https:\/\/doi.org\/10.1245\/s10434-024-15373-y","journal-title":"Ann Surg Oncol"},{"key":"2649_CR47","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s13304-024-01752-3","volume":"76","author":"S Langella","year":"2024","unstructured":"Langella S, Armentano S, Russolillo N et al (2024) Colorectal metastases with intrabiliary growth: incidence, treatment, and outcomes. Updates Surg 76:459\u2013469. https:\/\/doi.org\/10.1007\/s13304-024-01752-3","journal-title":"Updates Surg"},{"key":"2649_CR48","doi-asserted-by":"publisher","DOI":"10.1007\/s13304-025-02501-w","author":"MC De Brunese","year":"2026","unstructured":"Brunese MC, Clemente A, De Chiara M et al (2026) Radiomics of portal-phase ring enhancement: a novel imaging biomarker for bevacizumab response associated with overall survival rates. It might help with surgical decision-making in colorectal liver metastases?. Updates Surg. https:\/\/doi.org\/10.1007\/s13304-025-02501-w","journal-title":"Updates Surg"},{"key":"2649_CR49","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3390\/jcm11010031","volume":"11","author":"A Rocca","year":"2021","unstructured":"Rocca A, Brunese MC, Santone A et al (2021) Early diagnosis of liver metastases from colorectal cancer through ct radiomics and formal methods: a pilot study. J Clin Med 11:31. https:\/\/doi.org\/10.3390\/jcm11010031","journal-title":"J Clin Med"},{"key":"2649_CR50","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1186\/s13244-023-01572-w","volume":"15","author":"B Kocak","year":"2024","unstructured":"Kocak B, Akinci D\u2019Antonoli T, Mercaldo N et al (2024) Methodological radiomICs score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII. Insights into Imaging 15:8. https:\/\/doi.org\/10.1186\/s13244-023-01572-w","journal-title":"Insights into Imaging"},{"key":"2649_CR51","doi-asserted-by":"publisher","first-page":"1676","DOI":"10.1245\/s10434-018-6387-8","volume":"25","author":"L Vigano","year":"2018","unstructured":"Vigano L, Darwish SS, Rimassa L et al (2018) Progression of colorectal liver metastases from the end of chemotherapy to resection: a new contraindication to surgery? Ann Surg Oncol 25:1676\u20131685. https:\/\/doi.org\/10.1245\/s10434-018-6387-8","journal-title":"Ann Surg Oncol"},{"key":"2649_CR52","doi-asserted-by":"publisher","first-page":"5156","DOI":"10.1245\/s10434-022-11683-1","volume":"29","author":"MC Mason","year":"2022","unstructured":"Mason MC, Krasnodebski M, Hester CA et al (2022) Outcomes of mixed pathologic response in patients with multiple colorectal liver metastases treated with neoadjuvant chemotherapy and liver resection. Ann Surg Oncol 29:5156\u20135164. https:\/\/doi.org\/10.1245\/s10434-022-11683-1","journal-title":"Ann Surg Oncol"},{"key":"2649_CR53","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1007\/s10278-023-00799-9","volume":"36","author":"G Costa","year":"2023","unstructured":"Costa G, Cavinato L, Fiz F et al (2023) Mapping tumor heterogeneity via local entropy assessment: making biomarkers visible. J Digit Imaging 36:1038\u20131048. https:\/\/doi.org\/10.1007\/s10278-023-00799-9","journal-title":"J Digit Imaging"},{"key":"2649_CR54","doi-asserted-by":"publisher","first-page":"1096","DOI":"10.1245\/s10434-010-1409-1","volume":"18","author":"M D\u2019Angelica","year":"2011","unstructured":"D\u2019Angelica M, Kornprat P, Gonen M et al (2011) Effect on outcome of recurrence patterns after hepatectomy for colorectal metastases. Ann Surg Oncol 18:1096\u20131103. https:\/\/doi.org\/10.1245\/s10434-010-1409-1","journal-title":"Ann Surg Oncol"},{"key":"2649_CR55","doi-asserted-by":"publisher","first-page":"2651","DOI":"10.1007\/s00268-018-4525-x","volume":"42","author":"L Vigan\u00f2","year":"2018","unstructured":"Vigan\u00f2 L, Pedicini V, Comito T et al (2018) Aggressive and multidisciplinary local approach to iterative recurrences of colorectal liver metastases. World J Surg 42:2651\u20132659. https:\/\/doi.org\/10.1007\/s00268-018-4525-x","journal-title":"World J Surg"},{"key":"2649_CR56","doi-asserted-by":"publisher","first-page":"2795","DOI":"10.1007\/s13304-024-01874-8","volume":"76","author":"C Yoshida","year":"2024","unstructured":"Yoshida C, Chang SS, Okamoto T, Inada R (2024) Recurrence-free survival curve for pulmonary metastasectomy in colorectal cancer plateaus at 3 years. Updates Surg 76:2795\u20132803. https:\/\/doi.org\/10.1007\/s13304-024-01874-8","journal-title":"Updates Surg"},{"key":"2649_CR57","doi-asserted-by":"publisher","first-page":"1387","DOI":"10.1007\/s13304-023-01620-6","volume":"75","author":"L Vigan\u00f2","year":"2023","unstructured":"Vigan\u00f2 L, Ammirabile A, Zwanenburg A (2023) Radiomics in liver surgery: defining the path toward clinical application. Updates Surg 75:1387\u20131390. https:\/\/doi.org\/10.1007\/s13304-023-01620-6","journal-title":"Updates Surg"}],"updated-by":[{"DOI":"10.1007\/s13304-026-02778-5","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T00:00:00Z","timestamp":1784851200000}}],"container-title":["Updates in Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13304-026-02649-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13304-026-02649-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13304-026-02649-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T11:42:04Z","timestamp":1788349324000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13304-026-02649-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,17]]},"references-count":57,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["2649"],"URL":"https:\/\/doi.org\/10.1007\/s13304-026-02649-z","relation":{},"ISSN":["2038-131X","2038-3312"],"issn-type":[{"value":"2038-131X","type":"print"},{"value":"2038-3312","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,17]]},"assertion":[{"value":"18 December 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 March 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 June 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 July 2026","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s13304-026-02778-5","URL":"https:\/\/doi.org\/10.1007\/s13304-026-02778-5","order":8,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors have no competing interests relevant to the content of this article.","order":1,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and\/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The local Institutional Review Board approved the study protocol (83\/20). Because of the retrospective nature of the study, the need for informed consent was waived.","order":2,"name":"Ethics","label":"Ethical approval","group":{"name":"EthicsHeading","label":"Declarations"}}]}}