Kapiteijn E, Marijnen CA, Nagtegaal ID, et al. Preoperative radiotherapy combined with total mesorectal excision for resectable rectal cancer. N Engl J Med. 2001;345:638–46.
Article CAS PubMed Google Scholar
MacFarlane JK, Ryall RD, Heald RJ. Mesorectal excision for rectal cancer. Lancet. 1993;341:457–60.
Article CAS PubMed Google Scholar
Gérard J-P, André T, Bibeau F, et al. Rectal cancer: French Intergroup clinical practice guidelines for diagnosis, treatments and follow-up (SNFGE, FFCD, GERCOR, UNICANCER, SFCD, SFED, SFRO). Dig Liver Dis. 2017;49:359–67.
Sauer R, Liersch T, Merkel S, et al. Preoperative versus postoperative chemoradiotherapy for locally advanced rectal cancer: results of the German CAO/ARO/AIO-94 randomized phase III trial after a median follow-up of 11 years. J Clin Oncol. 2012;30:1926–33.
Article CAS PubMed Google Scholar
Bosset JF, Calais G, Daban A, et al. Preoperative chemoradiotherapy versus preoperative radiotherapy in rectal cancer patients: assessment of acute toxicity and treatment compliance. Eur J Cancer. 2004;40:219–24.
Article CAS PubMed Google Scholar
Bahadoer RR, Dijkstra EA, van Etten B, et al. Short-course radiotherapy followed by chemotherapy before total mesorectal excision (TME) versus preoperative chemoradiotherapy, TME, and optional adjuvant chemotherapy in locally advanced rectal cancer (RAPIDO): a randomised, open-label, phase 3 trial. Lancet Oncol. 2021;22:29–42.
Article CAS PubMed Google Scholar
Conroy T, Bosset J-F, Etienne P-L, et al. Neoadjuvant chemotherapy with FOLFIRINOX and preoperative chemoradiotherapy for patients with locally advanced rectal cancer (UNICANCER-PRODIGE 23): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol. 2021;22:702–15.
Article CAS PubMed Google Scholar
Paun BC, Cassie S, MacLean AR, et al. Postoperative complications following surgery for rectal cancer. Ann Surg. 2010;251:807–18.
Peeters KCMJ. Late side effects of short-course preoperative radiotherapy combined with total mesorectal excision for rectal cancer: increased bowel dysfunction in irradiated patients–a Dutch colorectal cancer group study. J Clin Oncol. 2005;23:6199–206.
Article CAS PubMed Google Scholar
Habr-Gama A, Perez RO, Nadalin W, et al. Operative versus nonoperative treatment for stage 0 distal rectal cancer following chemoradiation therapy. Trans Meeting Am Surg Assocs. 2004;CXXII:309–16.
Rullier E, Perez RO. Surgery or a watch-and-wait approach for rectal cancer? Lancet Oncol. 2019;20:189–90.
Gani C, Bonomo P, Zwirner K, et al. Organ preservation in rectal cancer – challenges and future strategies. Clin Transl Radiat Oncol. 2017;3:9–15.
CAS PubMed PubMed Central Google Scholar
Glynne-Jones R, Hughes R. Critical appraisal of the ‘wait and see’ approach in rectal cancer for clinical complete responders after chemoradiation. Br J Surg. 2012;99:897–909.
Article CAS PubMed Google Scholar
Arezzo A, Lo Secco G, Passera R, et al. Individual participant data pooled-analysis of risk factors for recurrence after neoadjuvant radiotherapy and transanal local excision of rectal cancer: the PARTTLE study. Tech Coloproctol. 2019;23:831–42.
Article CAS PubMed Google Scholar
Habr-Gama A, Gama-Rodrigues J, São Julião GP, et al. Local recurrence after complete clinical response and watch and wait in rectal cancer after neoadjuvant chemoradiation: impact of salvage therapy on local disease control. Int J Radiat Oncol Biol Phys. 2014;88:822–8.
Fernandez LM, São Julião GP, Renehan AG, et al. The Risk of distant metastases in patients with clinical complete response managed by watch and wait after neoadjuvant therapy for rectal cancer: the influence of local regrowth in the International Watch and Wait Database. Dis Colon Rectum. 2023;66:41–9.
Rullier E, Rouanet P, Tuech J-J, et al. Organ preservation for rectal cancer (GRECCAR 2): a prospective, randomised, open-label, multicentre, phase 3 trial. Lancet. 2017;390:469–79.
•• Rullier E, Vendrely V, Asselineau J, et al. Organ preservation with chemoradiotherapy plus local excision for rectal cancer: 5-year results of the GRECCAR 2 randomised trial. Lancet Gastroenterol Hepatol. 2020;5(5):465–474. https://doi.org/10.1016/S2468-1253(19)30410-8. The only prospective randomized trial comparing TME and rectal preservation in good responders after chemoradiation for T2/3 rectal cancers.
Larue RTHM, Defraene G, De Ruysscher D, et al. Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures. BJR. 2017;90:20160665.
Article PubMed PubMed Central Google Scholar
Kourou K, Exarchos TP, Exarchos KP, et al. Machine learning applications in cancer prognosis and prediction. Comput Struct Biotechnol J. 2015;13:8–17.
Article CAS PubMed Google Scholar
Montagnon E, Cerny M, Cadrin-Chênevert A, et al. Deep learning workflow in radiology: a primer. Insights Imaging. 2020;11:22.
Article PubMed PubMed Central Google Scholar
Horvat N, Bates DDB, Petkovska I. Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review Abdom Radiol. 2019;44:3764–74.
Cui Y, Liu H, Ren J, et al. Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer. Eur Radiol. 2020;30(4):1948-1958. https://doi.org/10.1007/s00330-019-06572-3.
Qin Y, Zhu L-H, Zhao W, et al. Review of radiomics- and dosiomics-based predicting models for rectal cancer. Front Oncol. 2022;12:913683.
Article CAS PubMed PubMed Central Google Scholar
Chen L-D, Li W, Xian M-F, et al. Preoperative prediction of tumour deposits in rectal cancer by an artificial neural network–based US radiomics model. Eur Radiol 2019
Cui Y, Yang X, Shi Z, et al. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Eur Radiol. 2019;29:1211–20.
Bibault JE, Giraud P, Housset M, et al. Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer. Sci Rep. 2018;8(1):12611. https://doi.org/10.1038/s41598-018-30657-6
Jeon SH, Song C, Chie EK, et al. Delta-radiomics signature predicts treatment outcomes after preoperative chemoradiotherapy and surgery in rectal cancer. Radiat Oncol. 2019;14:43.
Article PubMed PubMed Central Google Scholar
De Cecco CN, Ganeshan B, Ciolina M, et al. Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-T magnetic resonance. Investig Radiol. 2015;50:239–45.
Boldrini L, Cusumano D, Chiloiro G, et al. Delta radiomics for rectal cancer response prediction with hybrid 035 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach. Radiol med. 2019;124:145–53.
Lovinfosse P, Polus M, Van Daele D, et al. FDG PET/CT radiomics for predicting the outcome of locally advanced rectal cancer. Eur J Nucl Med Mol Imaging. 2018;45:365–75.
Liu Z, Zhang X-Y, Shi Y-J, et al. Radiomics Analysis for evaluation of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Clin Cancer Res. 2017;23:7253–62. First large-scale study assessing the interest of radiomics analysis for neoadjuvant radiochemotherapy treatment response evaluation in rectal cancer.
Gourtsoyianni S, Doumou G, Prezzi D, et al. Primary Rectal cancer: repeatability of global and local-regional MR imaging texture features. Radiology. 2017;284:552–61.
Hu P, Wang J, Zhong H, et al. Reproducibility with repeat CT in radiomics study for rectal cancer. Oncotarget 2016 ; 7
Traverso A, Kazmierski M, Shi Z, et al. Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing. Physica Med. 2019;61:44–51.
Chartrand G, Cheng PM, Vorontsov E, et al. Deep learning: a primer for radiologists. Radiographics. 2017;37:2113–31.
Lohmann P, Bousabarah K, Hoevels M, et al. Radiomics in radiation oncology-basics, methods, and limitations. Strahlenther Onkol. 2020;196:848–55.
Article PubMed PubMed Central Google Scholar
Bibault J-E, Xing L, Giraud P, et al. Radiomics: a primer for the radiation oncologist. Cancer Radiother. 2020;24:403–10.
Lambin P, Leijenaar RTH, Deist TM, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14:749–62.
Stojanovic-Rundic S, Jankovic R, Micev M, et al. p21 does, but p53 does not predict pathological response to preoperative chemoradiotherapy in locally advanced rectal cancer. J Buon. 2017;22:1463–70.
Saw RPM, Morgan M, Koorey D, et al. p53, deleted in colorectal cancer gene, and thymidylate synthase as predictors of histopathologic response and survival in low, locally advanced rectal cancer treated with preoperative adjuvant therapy. Dis Colon Rectum. 2003;46:192–202.
Chen M-B, Wu X-Y, Yu R, et al. P53 status as a predictive biomarker for patients receiving neoadjuvant radiation-based treatment: a meta-analysis in rectal cancer. PLoS One 2012; 7.
Sclafani F, Wilson SH, Cunningham D, et al. Analysis of KRAS, NRAS, BRAF, PIK3CA and TP53 mutations in a large prospective series of locally advanced rectal cancer patients. Int J Cancer. 2020;146:94–102.
Article CAS PubMed Google Scholar
Chow OS, Kuk D, Keskin M, et al. KRAS and combined KRAS/TP53 mutations in locally advanced rectal cancer are independently associated with decreased response to neoadjuvant therapy. Ann Surg Oncol. 2016;23:2548–55.
Comments (0)