Research map: Prediction of Pathological Complete Response after Chemoradiation for Locally Advanced Rectal Cancer Using Machine Learning with Clinical Features, the INTERCEPTOR Study Preliminary Model

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  1. Pathologic assessment of tumor regression after preoperative chemoradiotherapy of esophageal carcinoma. Clinicopathologic correlations · A.M. Mandard · 1994 · 2069 citations · Cited by this paper
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  15. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform · Yuanfang Ren · 2022 · 141 citations · Cited by this paper
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  17. Clinical Prediction of Pathological Complete Response After Preoperative Chemoradiotherapy for Rectal Cancer · Jung Wook Huh · 2013 · 117 citations · Cited by this paper
  18. Effectiveness of Blood Perfusion Assessment by Indocyanine Green Fluorescence Angiography in the Prevention of Anastomotic Leakage after Rectal Cancer Surgery in Japan: A Retrospective Study Using the Diagnosis Procedure Combination Database · 2026 · Related
  19. American College of Surgeons NSQIP Risk Calculator Accuracy Using a Machine Learning Algorithm Compared with Regression · Yaoming Liu · 2023 · 80 citations · Cited by this paper
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  21. Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients · Jieqiu Zhang · 2023 · 62 citations · Cited by this paper
  22. Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer · Sangjoon Choi · 2023 · 60 citations · Cited by this paper
  23. Machine learning for predicting pathological complete response in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy · Chun‐Ming Huang · 2020 · 41 citations · Cited by this paper
  24. Clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer · Jung Kyong Shin · 2022 · 41 citations · Cited by this paper
  25. Harm and benefits of short-term pre-operative radiotherapy in patients with resectable rectal carcinomas · Roel Bakx · 2006 · 33 citations · Cited by this paper
  26. Comparison of MRI and CT ‐Based Radiomics and Their Combination for Early Identification of Pathological Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer · Jing Li · 2022 · 31 citations · Cited by this paper
  27. Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer · Shangqing Liu · 2023 · 25 citations · Cited by this paper
  28. Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning · Jiaxuan Peng · 2023 · 19 citations · Cited by this paper
  29. Deep Learning Model for Predicting the Pathological Complete Response to Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer · Xiaoying Lou · 2022 · 18 citations · Cited by this paper
  30. Clinical predictors of response to chemoradiotherapy for rectal cancer as an aid to organ preservation · Jesse Fischer · 2021 · 12 citations · Cited by this paper
  31. Predictors of pathological complete response following neoadjuvant chemoradiotherapy for rectal cancer · Asif Mehraj · 2022 · 12 citations · Cited by this paper
  32. Pathomics-based machine learning models for predicting pathological complete response and prognosis in locally advanced rectal cancer patients post-neoadjuvant chemoradiotherapy: insights from two independent institutional studies · Yiyi Zhang · 2024 · 11 citations · Cited by this paper
  33. Clinical and biochemical predictors of tumor response after neoadjuvant therapy in rectal cancer · Sergei Bedrikovetski · 2022 · 9 citations · Cited by this paper
  34. A multi-class classification algorithm based on hematoxylin-eosin staining for neoadjuvant therapy in rectal cancer: a retrospective study · Yihan Wu · 2023 · 4 citations · Cited by this paper
  35. Nationwide analysis on the role of neoadjuvant radiotherapy and watch and wait in rectal cancer · David M Mens · 2025 · 3 citations · Cited by this paper
  36. Clinical nodal staging to assess the risk of local recurrence after rectal cancer resection: A nationwide cross‐sectional study · Mirthe Ubink · 2025 · 2 citations · Cited by this paper
  37. Can we use a simple blood test to reduce unnecessary adverse effects from radiotherapy by timely identification of radiotherapy-resistant rectal cancers? MeD-Seq rectal study protocol · David M Mens · 2023 · 1 citation · Cited by this paper
  38. Challenging the Dynamite Approach of Total Neoadjuvant Treatment for Locally Advanced Rectal Cancer · Mirthe Ubink · 2026 · 1 citation · Cited by this paper

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