Shinji S, Yamada T, Matsuda A, Sonoda H, Ohta R, Iwai T, et al (2022) Recent advances in the treatment of colorectal cancer: a review. J Nippon Med Sch 89:246–254. DOI: https://doi.org/10.1272/jnms.JNMS.2022_89-310.

Article  CAS  PubMed  Google Scholar 

Nojadeh JN, Sharif SB, Sakhinia E (2018) Microsatellite instability in colorectal cancer. EXCLI J 17:159–168. DOI: https://doi.org/10.17179/excli2017-948.

Article  PubMed  PubMed Central  Google Scholar 

Hinoi T (2021) Cancer genomic profiling in colorectal cancer: current challenges in subtyping colorectal cancers based on somatic and germline variants. J Anus Rectum Colon 5:213–228. DOI: https://doi.org/10.23922/jarc.2021-009.

Article  PubMed  PubMed Central  Google Scholar 

Ribic CM, Sargent DJ, Moore MJ, Thibodeau SN, French AJ, Goldberg RM, et al (2003) Tumor microsatellite-instability status as a predictor of benefit from fluorouracil-based adjuvant chemotherapy for colon cancer. N Engl J Med 349:247–257. DOI: https://doi.org/10.1056/NEJMoa022289.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Demes M, Scheil-Bertram S, Bartsch H, Fisseler-Eckhoff A (2013) Signature of microsatellite instability, KRAS and BRAF gene mutations in German patients with locally advanced rectal adenocarcinoma before and after neoadjuvant 5-FU radiochemotherapy. J Gastrointest Oncol 4:182–192. DOI: https://doi.org/10.3978/j.issn.2078-6891.2013.012.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sargent DJ, Marsoni S, Monges G, Thibodeau SN, Labianca R, Hamilton SR, et al (2010) Defective mismatch repair as a predictive marker for lack of efficacy of fluorouracil-based adjuvant therapy in colon cancer. J Clin Oncol 28:3219–3226. DOI: https://doi.org/10.1200/JCO.2009.27.1825.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Popat S, Hubner R, Houlston RS (2005) Systematic review of microsatellite instability and colorectal cancer prognosis. J Clin Oncol 23:609–618. DOI: https://doi.org/10.1200/JCO.2005.01.086.

Article  CAS  PubMed  Google Scholar 

Gryfe R, Kim H, Hsieh ET, Aronson MD, Holowaty EJ, Bull SB, et al (2000) Tumor microsatellite instability and clinical outcome in young patients with colorectal cancer. N Engl J Med 342:69–77. DOI: https://doi.org/10.1056/NEJM200001133420201.

Article  CAS  PubMed  Google Scholar 

Wright CM, Dent OF, Barker M, Newland RC, Chapuis PH, Bokey EL, et al (2000) Prognostic significance of extensive microsatellite instability in sporadic clinicopathological stage C colorectal cancer. Br J Surg 87:1197–1202. DOI: https://doi.org/10.1046/j.1365-2168.2000.01508.x.

Article  CAS  PubMed  Google Scholar 

Luchini C, Bibeau F, Ligtenberg MJL, Singh N, Nottegar A, Bosse T, et al (2019) ESMO recommendations on microsatellite instability testing for immunotherapy in cancer, and its relationship with PD-1/PD-L1 expression and tumour mutational burden: a systematic review-based approach. Ann Oncol 30:1232–1243. DOI: https://doi.org/10.1093/annonc/mdz116.

Article  CAS  PubMed  Google Scholar 

Benson AB, Venook AP, Al-Hawary MM, et al (2018) Rectal Cancer, Version 2.2018, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 16:874–901. DOI: https://doi.org/10.6004/jnccn.2018.0061.

Article  PubMed  PubMed Central  Google Scholar 

Gilson P, Merlin J-L, Harlé A (2021) Detection of microsatellite instability: state of the art and future applications in circulating tumour DNA (ctDNA). Cancers (Basel) 13:1491. DOI: https://doi.org/10.3390/cancers13071491.

Article  CAS  PubMed  Google Scholar 

Gado A, Ebeid B, Abdelmohsen A, Axon A (2011) Improving the yield of histological sampling in patients with suspected colorectal cancer during colonoscopy by introducing a colonoscopy quality assurance program. Gastroenterol Res 4:157–161. DOI: https://doi.org/10.4021/gr334w.

Article  Google Scholar 

Burrell RA, McGranahan N, Bartek J, Swanton C (2013) The causes and consequences of genetic heterogeneity in cancer evolution. Nature 501:338–345. DOI: https://doi.org/10.1038/nature12625.

Article  CAS  PubMed  Google Scholar 

Xing X, Li D, Peng J, Shu Z, Zhang Y, Song Q (2024) A combinatorial MRI sequence-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer. Sci Rep 14:11760. DOI: https://doi.org/10.1038/s41598-024-62584-0.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mayerhoefer ME, Materka A, Langs G, Häggström I, Szczypiński P, Gibbs P, et al (2020) Introduction to radiomics. J Nucl Med 61:488–495. DOI: https://doi.org/10.2967/jnumed.118.222893.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ma Y, Lin Y, Lu J, He Y, Shi Q, Liu H, et al (2023) A meta-analysis of radiomics for predicting lymph node metastasis in patients with biliary tract cancers. Front Surg 9:1045295. DOI: https://doi.org/10.3389/fsurg.2022.1045295.

Article  PubMed  PubMed Central  Google Scholar 

Wen J, Liu W, Zhang Y, Shen X (2024) MRI-based radiomics for prediction of extraprostatic extension of prostate cancer: a systematic review and meta-analysis. Radiol Med 129:702–711. DOI: https://doi.org/10.1007/s11547-024-01810-1.

Article  PubMed  Google Scholar 

Felfli M, Liu Y, Zerka F, Voyton C, Thinnes A, Jacques S, et al (2023) Systematic review, meta-analysis and radiomics quality score assessment of CT radiomics-based models predicting tumor EGFR mutation status in patients with non-small-cell lung cancer. Int J Mol Sci 24:11433. DOI: https://doi.org/10.3390/ijms241411433.

Article  CAS  PubMed  PubMed Central  Google Scholar 

He J, Liu Y, Li J, Liu S (2024) Accuracy of radiomics in the diagnosis and preoperative high-risk assessment of endometrial cancer: a systematic review and meta-analysis. Front Oncol 14:1334546. DOI: https://doi.org/10.3389/fonc.2024.1334546.

Article  PubMed  PubMed Central  Google Scholar 

Kao YS, Hsu Y (2021) A meta-analysis for using radiomics to predict complete pathological response in esophageal cancer patients receiving neoadjuvant chemoradiation. In Vivo 35:1857–1863. DOI: https://doi.org/10.21873/invivo.12448.

Article  PubMed  PubMed Central  Google Scholar 

Feng Y, Gong J, Hu T, Liu Z, Sun Y, Tong T (2023) Radiomics for predicting survival in patients with locally advanced rectal cancer: a systematic review and meta-analysis. Quant Imaging Med Surg 13:8395–8412. DOI: https://doi.org/10.21037/qims-23-692.

Article  PubMed  PubMed Central  Google Scholar 

Cai Z, Xu Z, Chen Y, Zhang R, Guo B, Chen H, et al (2024) Multiparametric MRI subregion radiomics for preoperative assessment of high-risk subregions in microsatellite instability of rectal cancer patients: a multicenter study. Int J Surg 110:4310–4319. DOI: https://doi.org/10.1187/JS9.0000000000001335.

Article  PubMed  PubMed Central  Google Scholar 

Jing G, Chen Y, Ma X, Li Z, Lu H, Xia Y, et al (2022) Predicting mismatch-repair status in rectal cancer using multiparametric MRI-based radiomics models: a preliminary study. Biomed Res Int 2022:6623574. DOI: https://doi.org/10.1155/2022/6623574.

Article  PubMed  PubMed Central  Google Scholar 

Li Z, Zhang J, Zhong Q, Feng Z, Shi Y, Xu L, et al (2023) Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study. Eur Radiol 33:1835–1843. DOI: https://doi.org/10.1007/s00330-022-09160-0.

Article  CAS  PubMed  Google Scholar 

Zhang W, Huang Z, Zhao J, He D, Li M, Yin H, et al (2021) Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer. Ann Transl Med 9:134. DOI: https://doi.org/10.21037/atm-20-7673.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang Y, Liu J, Wu C, Peng J, Wei Y, Cui S (2023) Preoperative prediction of microsatellite instability in rectal cancer using five machine learning algorithms based on multiparametric MRI radiomics. Diagnostics 13:269. DOI: