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References from Predicting the prognosis of locally advanced rectal cancers after neoadjuvant chemoradiotherapy using quantitative MRI features and machine learning: A retrospective study. Local targets link to admitted publications; unresolved targets remain external evidence.
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
2024 · External reference
Artificial intelligence recognition of pathological T stage and tumor invasion in rectal cancer based on large panoramic pathological sections
10.1016/j.imed.2022.03.004 · 2022 · External reference
Cancer Statistics, 2021
2021 · External reference
Locally advanced rectal cancer: The past, present, and future
10.1053/j.seminoncol.2020.02.001 · 2020 · External reference
Preoperative versus postoperative chemoradiotherapy for rectal cancer
10.1056/nejmoa040694 · 2004 · External reference
A review of neoadjuvant chemoradiotherapy for locally advanced rectal cancer
10.7150/ijbs.15438 · 2016 · External reference
Total mesorectal excision in the operative treatment of carcinoma of the rectum
1995 · External reference
The evolving neoadjuvant treatment paradigm for patients with locoregional mismatch repair proficient rectal cancer
10.1007/s11864-022-00961-5 · 2022 · External reference
10.1097/as9.0000000000000288
10.1097/as9.0000000000000288 · 2023 · External reference
Tailored total neoadjuvant therapy for locally advanced rectal cancer: One size may not fit for all
10.1111/codi.15669 · 2021 · External reference
Outcomes and side effects of preoperative chemoradiotherapy for locally advanced upper rectal cancer
10.21873/anticanres.15988 · 2022 · External reference
Preoperative hyperfractionated chemoradiation for locally recurrent rectal cancer in patients previously irradiated to the pelvis: A multicentric phase II study
10.1016/j.ijrobp.2005.09.017 · 2006 · External reference
pCR and 2-year disease-free survival: A combination of the two endpoints as a new classification for locally advanced rectal cancer patients-An updated pooled analysis of eleven international randomized trials
10.3390/cancers15123209 · 2023 · External reference
A survey on deep learning in medical image reconstruction
10.1016/j.imed.2021.03.003 · 2021 · External reference
MR Imaging of rectal cancer: Radiomics analysis to assess treatment response after neoadjuvant therapy
10.1148/radiol.2018172300 · 2018 · External reference
Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer
10.1200/jco.2015.65.9128 · 2016 · External reference
The applications of radiomics in precision diagnosis and treatment of oncology: Opportunities and challenges
10.7150/thno.30309 · 2019 · External reference
The application of artificial intelligence to chest medical image analysis
10.1016/j.imed.2021.06.004 · 2021 · External reference
NCCN guidelines insights: Rectal Cancer, Version 6. 2020
10.6004/jnccn.2020.0032 · 2020 · External reference
Metastatic colorectal cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up
10.1016/j.annonc.2022.10.003 · 2023 · External reference
Use of preoperative magnetic resonance imaging to select patients with rectal cancer for neoadjuvant chemoradiation–Interim analysis of the German OCUM Trial (NCT01325649)
10.1007/s11605-015-3011-0 · 2016 · External reference
Radiomic features of pretreatment MRI could identify T stage in patients with rectal cancer: Preliminary findings
10.1002/jmri.26309 · 2018 · External reference
Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-T magnetic resonance
10.1097/rli.0000000000000116 · 2015 · External reference
MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features
10.1186/s12880-019-0392-7 · 2019 · External reference
The role of MRI after neochemoradiotherapy in predicting pathological tumor regression grade and clinical outcome in patients with locally advanced rectal adenocarcinoma
10.3389/fonc.2023.1118518 · 2023 · External reference
Long-Term follow-up and survivorship after completing systematic surveillance in stage I–III colorectal cancer: Who is still at risk?
10.1007/s12029-015-9723-2 · 2015 · External reference
MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer
10.1007/s00330-021-08144-w · 2022 · External reference
A nomogram based on MRI radiomics features of mesorectal fat for diagnosing T2- and T3-stage rectal cancer
10.1007/s00261-023-04164-w · 2024 · External reference
Computational radiomics system to decode the radiographic phenotype
10.1158/0008-5472.can-17-0339 · 2017 · External reference
A nomogram to predict distant metastasis after neoadjuvant chemoradiotherapy and radical surgery in patients with locally advanced rectal cancer
10.1002/jso.24522 · 2017 · External reference
Nomograms for predicting local recurrence, distant metastases, and overall survival for patients with locally advanced rectal cancer on the basis of European randomized clinical trials
10.1200/jco.2010.33.1595 · 2011 · External reference
Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI
10.1007/s11604-022-01325-7 · 2023 · External reference
Predicting poor response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer: Model constructed using pre-treatment MRI features of structured report template
10.1016/j.radonc.2020.03.046 · 2020 · External reference
Pathologic response to neoadjuvant treatment in locally advanced rectal cancer and impact on outcome
10.21037/jgo.2016.05.03 · 2016 · External reference
A comprehensive prediction model based on MRI radiomics and clinical factors to predict tumor response after neoadjuvant chemoradiotherapy in rectal cancer
10.1016/j.acra.2023.04.032 · 2023 · External reference
Multiparametric MRI-based radiomic model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer
10.1186/s13244-024-01726-4 · 2024 · External reference
MRI-based radiomics to predict neoadjuvant chemoradiotherapy outcomes in locally advanced rectal cancer: A multicenter study
10.1016/j.ctro.2022.11.009 · 2023 · External reference
The mesorectum: a paradigm shift in rectal cancer surgery
10.1038/s41575-022-00579-w · 2022 · External reference
Prediction of pathological nodal stage of locally advanced rectal cancer by collective features of multiple lymph nodes in magnetic resonance images before and after neoadjuvant chemoradiotherapy
10.21147/j.issn.1000-9604.2019.06.14 · 2019 · External reference
A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer
10.1002/cam4.3490 · 2020 · External reference
MRI-Diagnosed tumor deposits and EMVI status have superior prognostic accuracy to current clinical TNM staging in rectal cancer
10.1097/sla.0000000000004499 · 2022 · External reference
Prognostic implications of MRI-detected EMVI and tumor deposits and their response to neoadjuvant therapy in cT3 and cT4 rectal cancer
10.1016/j.ijrobp.2021.06.013 · 2021 · External reference
Delta radiomic analysis of mesorectum to predict treatment response and prognosis in locally advanced rectal cancer
10.3390/cancers15123082 · 2023 · External reference
Extramural venous invasion and tumor deposit at diffusion-weighted MRI in patients after neoadjuvant treatment for rectal cancer
10.1148/radiol.230079 · 2023 · External reference
Individualized prediction of colon cancer recurrence using a nomogram
10.1200/jco.2007.14.1291 · 2008 · External reference
Can we optimize CEA as a response marker in rectal cancer?
2021 · External reference
Survival for patients with metastatic colon cancer underwent cytoreductive colectomy in the era of rapid development of anticancer drugs: A real-world analysis based on updated population dataset of 2004–2018
10.3389/fphar.2022.983092 · 2022 · External reference
Trajectories of perioperative serum tumor markers and colorectal cancer outcomes: A retrospective, multicenter longitudinal cohort study
10.1016/j.ebiom.2021.103706 · 2021 · External reference
An RNA aptamer that binds carcinoembryonic antigen inhibits hepatic metastasis of colon cancer cells in mice
10.1053/j.gastro.2012.03.039 · 2012 · External reference
