| For: | Ito H, Uragami N, Miyazaki T, Yang W, Issha K, Matsuo K, Kimura S, Arai Y, Tokunaga H, Okada S, Kawamura M, Yokoyama N, Kushima M, Inoue H, Fukagai T, Kamijo Y. Highly accurate colorectal cancer prediction model based on Raman spectroscopy using patient serum. World J Gastrointest Oncol 2020; 12(11): 1311-1324 [PMID: 33250963 DOI: 10.4251/wjgo.v12.i11.1311] |
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| URL: | https://www.wjgnet.com/1948-5204/full/v12/i11/1311.htm |
| Number | Citing Articles |
| 1 |
Mengze Xu, Zhiyi Chen, Junxiao Zheng, Qi Zhao, Zhen Yuan. Artificial intelligence-aided optical imaging for cancer theranostics. Seminars in Cancer Biology 2023; 94 doi: 10.1016/j.semcancer.2023.06.003
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| 2 |
Hemanth Noothalapati, Keita Iwasaki, Tatsuyuki Yamamoto. Non-invasive diagnosis of colorectal cancer by Raman spectroscopy: Recent developments in liquid biopsy and endoscopy approaches. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2021; 258 doi: 10.1016/j.saa.2021.119818
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| 3 |
Aaron Morelos-Gomez, Kohjiro Tokutake, Ken-ichi Hoshi, Akira Matsushima, Armando David Martinez-Iniesta, Michio Katouda, Syogo Tejima, Morinobu Endo. Development of binary-based prediction models for colorectal polyps. Intelligence-Based Medicine 2025; 11 doi: 10.1016/j.ibmed.2025.100236
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| 4 |
Ruichan Lv, Zhan Wang, Yaqun Ma, Wenjing Li, Jie Tian. Machine Learning Enhanced Optical Spectroscopy for Disease Detection. The Journal of Physical Chemistry Letters 2022; 13(39) doi: 10.1021/acs.jpclett.2c02193
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| 5 |
Hiroaki Ito, Naoyuki Uragami, Tomokazu Miyazaki, William Yang, Kenji Issha, Toshimitsu Yamaoka, Yuri Ito, Satoshi Kimura, Machiko Kawamura, Tetsuo Noguchi, Takashi Fukagai, Junji Tsurutani. A quartz glass fiber sheet substrate for enhancing Raman signal. Vibrational Spectroscopy 2026; 145 doi: 10.1016/j.vibspec.2026.103933
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| 6 |
Xingen Gao, Yang Yang, Hongyi Zhang, Fuqiang Wang, Xianqiong Gong, Qiaona Gao, Juqiang Lin. Kan-AAE-driven synthetic SERS spectra generation method for Precise cancer identification. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2025; 330 doi: 10.1016/j.saa.2025.125696
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| 7 |
Yumei Wang, Liuru Fang, Yuhua Wang, Zuzhao Xiong. Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges. Advanced Science 2024; 11(7) doi: 10.1002/advs.202300668
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| 8 |
Carlo Morasso, Elena Daveri, Arianna Bonizzi, Marta Truffi, Francesco Colombo, Piergiorgio Danelli, Sara Albasini, Licia Rivoltini, Serena Mazzucchelli, Luca Sorrentino, Fabio Corsi. Raman spectroscopy on dried blood plasma allows diagnosis and monitoring of colorectal cancer. MedComm 2024; 5(11) doi: 10.1002/mco2.774
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| 9 |
Qiwen Wang, Sen Wang, Shengdong Cui, Deyuan Yang, Zheng Huang, Shusen Xie. Multivariate analysis of serum surface-enhanced Raman spectroscopy of liver cancer patients. Journal of Innovative Optical Health Sciences 2022; 15(05) doi: 10.1142/S1793545822500328
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| 10 |
Loredana Bellantuono, Raffaele Tommasi, Ester Pantaleo, Martina Verri, Nicola Amoroso, Pierfilippo Crucitti, Michael Di Gioacchino, Filippo Longo, Alfonso Monaco, Anda Mihaela Naciu, Andrea Palermo, Chiara Taffon, Sabina Tangaro, Anna Crescenzi, Armida Sodo, Roberto Bellotti. An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis. Scientific Reports 2023; 13(1) doi: 10.1038/s41598-023-43856-7
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| 11 |
Joanna Depciuch, Paweł Jakubczyk, Wiesław Paja, Krzysztof Pancerz, Agnieszka Wosiak, Monika Kula-Maximenko, İlhan Yaylım, Güldal İnal Gültekin, Nevzat Tarhan, Mehmet Tolgahan Hakan, Dilara Sönmez, Devrim Sarıbal, Soykan Arıkan, Zozan Guleken. Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for colon cancer. Nanomedicine: Nanotechnology, Biology and Medicine 2023; 48 doi: 10.1016/j.nano.2023.102657
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| 12 |
Athanasios G. Pantelis, Panagiota A. Panagopoulou, Dimitris P. Lapatsanis. Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping Review. Diagnostics 2022; 12(4) doi: 10.3390/diagnostics12040874
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| 13 |
Hiroaki Ito, Takuya Fujima, Tadanobu Hiratsuka, Naoyuki Uragami, Yuri Ito, Shinsuke Kazama, Machiko Kawamura, Junji Tsurutani. Hierarchical Nanoporous Glass Enables Serum Raman Liquid Biopsy for Colorectal Cancer Detection and Monitoring. ACS Applied Optical Materials 2026; 4(6) doi: 10.1021/acsaom.6c00251
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| 14 |
Yuto Shimamura, Haruo Ikeda, Yohei Nishikawa, Manabu Onimaru, Kai Matsuo, Masayuki Isozaki, William Yang, Kenji Issha, Satoshi Kimura, Machiko Kawamura, Noboru Yokoyama, Miki Kushima, Haruhiro Inoue, Tomokazu Miyazaki, Naoyuki Uragami, Hiroaki Ito. Determination of esophageal squamous cell carcinoma and gastric adenocarcinoma on raw tissue using Raman spectroscopy. World Journal of Gastroenterology 2023; 29(20): 3145-3156 doi: 10.3748/wjg.v29.i20.3145
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| 15 |
Dangli Hu, Jianmei Wang, Tianfan Cheng, Huijun Li, Feng Zhang, Dan Zhao, Xiaoyi Xu, Rong Yu, Ping Wen, Yunfei Cheng, Jian Xu, Lijian Jin, Jilong Yao. Comparative analysis of serum and saliva samples using Raman spectroscopy: a high-throughput investigation in patients with polycystic ovary syndrome and periodontitis. BMC Women's Health 2023; 23(1) doi: 10.1186/s12905-023-02663-y
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| 16 |
Yafeng Qi, Yuhong Liu, Jianbin Luo. Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion. PhotoniX 2023; 4(1) doi: 10.1186/s43074-023-00098-0
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| 17 |
Shruthi Nagainallur Ravichandran, Diptimayee Das, Erica Katriel Dayananda, Amit Dey, Antara Banerjee, Alexander Sun-Zhang, Hong Zhang, Xiao-Feng Sun, Surajit Pathak. A Review on Emerging Techniques for Diagnosis of Colorectal Cancer. Cancer Investigation 2024; 42(2) doi: 10.1080/07357907.2024.2315443
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| 18 |
Aishwarya Shirke, Aditi Sahu, Piyush Kumar. Raman Spectroscopy-Based, Non-Destructive Biomedical Diagnosis. NDT 2026; 4(3) doi: 10.3390/ndt4030018
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| 19 |
Nathan Blake, Riana Gaifulina, Lewis D. Griffin, Ian M. Bell, Geraint M. H. Thomas. Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature. Diagnostics 2022; 12(6) doi: 10.3390/diagnostics12061491
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| 20 |
Shimul Biswas, Krishna Kishore Mahato. Biophysical approaches to cancer diagnostics: Collagen biomarkers in colorectal cancer. Physics of Life Reviews 2026; 56 doi: 10.1016/j.plrev.2026.01.009
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| 21 |
Yue Zhao, Bo Zhang, Haiyan Yang, Xinying Li, Jiewen Liu, Zhimin Huang, Hang Ding, Xiaozhen Zhong, Haijun Li, Dan Xiong. Metabolic Map of Colorectal Cancer and Artificial Intelligence‐Aided Identification Based on Single‐Cell Raman Spectroscopy and Metabolomics. Journal of Raman Spectroscopy 2026; doi: 10.1002/jrs.70187
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