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Cited by in CrossRef
For: Hattori Y, Gabata T, Matsui O, Mochizuki K, Kitagawa H, Kayahara M, Ohta T, Nakanuma Y. Enhancement patterns of pancreatic adenocarcinoma on conventional dynamic multi-detector row CT: Correlation with angiogenesis and fibrosis. World J Gastroenterol 2009; 15(25): 3114-3121 [PMID: 19575490 DOI: 10.3748/wjg.15.3114]
URL: https://www.wjgnet.com/1007-9327/full/v15/i25/3114.htm
Number Citing Articles
1
Shingo Iwano, Wataru Koike, Keiji Matsuo, Tohru Okada, Yoshie Shimoyama, Shinji Naganawa. Correlation between dual-phase dynamic multi-detector CT findings and fibrosis within lung adenocarcinoma tumorsEuropean Journal of Radiology 2011; 80(3): e470 doi: 10.1016/j.ejrad.2010.09.007
2
E. Frampas, O. Morla, N. Regenet, T. Eugène, B. Dupas, G. Meurette. Masse solide du pancréas : tumeur ou inflammation ?Journal de Radiologie Diagnostique et Interventionnelle 2013; 94(7-8): 751 doi: 10.1016/j.jradio.2013.02.011
3
Lan Wang, Guojuan Wang, Peihua Wang, Fang Nie. Pancreatic ductal adenocarcinoma: CEUS characteristics are correlated with pathological findings and help predict early recurrence after resectionJournal of Clinical Ultrasound 2024; 52(3): 230 doi: 10.1002/jcu.23622
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Atsushi Kohga, Yusuke Yamamoto, Teiichi Sugiura, Yukiyasu Okamura, Takaaki Ito, Ryo Ashida, Takeshi Aramaki, Keiko Sasaki, Katsuhiko Uesaka. Bile duct angulation and tumor vascularity are useful radiographic features for differentiating pancreatic head cancer and intrapancreatic bile duct cancerSurgery Today 2018; 48(7): 673 doi: 10.1007/s00595-018-1642-y
5
Sherif A. Mohamed, Alina Barlemann, Verena Steinle, Tobias Nonnenmacher, Michelle Güttlein, Thilo Hackert, Martin Loos, Matthias M. Gaida, Hans-Ulrich Kauczor, Miriam Klauss, Philipp Mayer. Performance of different CT enhancement quantification methods as predictors of pancreatic cancer recurrence after upfront surgeryScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-70441-3
6
John Chang, Donald Schomer, Tomislav Dragovich. Anatomical, Physiological, and Molecular Imaging for Pancreatic Cancer: Current Clinical Use and Future ImplicationsBioMed Research International 2015; 2015: 1 doi: 10.1155/2015/269641
7
Kazuyoshi Ohki, Takao Igarashi, Hirokazu Ashida, Megumi Shiraishi, Yosuke Nozawa, Hiroya Ojiri. Differentiation between non-hypervascular pancreatic neuroendocrine tumour and pancreatic ductal adenocarcinoma on dynamic computed tomography and non-enhanced magnetic resonance imagingPolish Journal of Radiology 2019; 84: 153 doi: 10.5114/pjr.2019.84193
8
Shin Il Kim, Jun Young Shin, Jin-Seok Park, Seok Jeong, Yong Sun Jeon, Moon Han Choi, Hyun Jong Choi, Jong Ho Moon, Jae Chul Hwang, Min Jae Yang, Byoung Moo Yoo, Jin Hong Kim, Hyun Woo Lee, Chang-Il Kwon, Don Haeng Lee. Vascular enhancement pattern of mass in computed tomography may predict chemo-responsiveness in advanced pancreatic cancerPancreatology 2017; 17(1): 103 doi: 10.1016/j.pan.2016.10.008
9
Soon Ho Yoon, Chang Min Park, Sang Joon Park, Jeong-Hwa Yoon, Seokyung Hahn, Jin Mo Goo. Tumor Heterogeneity in Lung Cancer: Assessment with Dynamic Contrast-enhanced MR ImagingRadiology 2016; 280(3): 940 doi: 10.1148/radiol.2016151367
10
Shota Tatsumoto, Yoshihisa Kodama, Yasuo Sakurai, Toshiya Shinohara, Akio Katanuma, Hiroyuki Maguchi. Pancreatic neuroendocrine neoplasm: correlation between computed tomography enhancement patterns and prognostic factors of surgical and endoscopic ultrasound-guided fine-needle aspiration biopsy specimensAbdominal Imaging 2013; 38(2): 358 doi: 10.1007/s00261-012-9953-8
11
Xuefang Hu, Siya Shi, Yangdi Wang, Jiaxin Yuan, Mingjie Chen, Luyong Wei, Weiwei Deng, Shi-Ting Feng, Zhenpeng Peng, Yanji Luo. Dual-energy CT improves differentiation of non-hypervascular pancreatic neuroendocrine neoplasms from CA 19-9-negative pancreatic ductal adenocarcinomasLa radiologia medica 2023; 129(1): 1 doi: 10.1007/s11547-023-01733-3
12
Junki Maehara, Yohei Masugi, Tokiya Abe, Hanako Tsujikawa, Yutaka Kurebayashi, Akihisa Ueno, Hidenori Ojima, Shigeo Okuda, Masahiro Jinzaki, Masahiro Shinoda, Yuko Kitagawa, Yoshinao Oda, Hiroshi Honda, Michiie Sakamoto. Quantification of intratumoral collagen and elastin fibers within hepatocellular carcinoma tissues finds correlations with clinico‐patho‐radiological featuresHepatology Research 2020; 50(5): 607 doi: 10.1111/hepr.13484
13
Fumihito Toshima, Dai Inoue, Kotaro Yoshida, Norihide Yoneda, Tetsuya Minami, Satoshi Kobayashi, Hiroko Ikdeda, Osamu Matsui, Toshifumi Gabata. Adenosquamous carcinoma of pancreas: CT and MR imaging features in eight patients, with pathologic correlations and comparison with adenocarcinoma of pancreasAbdominal Radiology 2016; 41(3): 508 doi: 10.1007/s00261-015-0616-4
14
Gakuji Osawa, Kazuhiko Yoshimatsu, Hajime Yokomizo, Sachiyo Okayama, Masano Sagawa, Yoshihiko Naritaka. Correlation between response to chemotherapy with concomitant bevacizumab for hepatic metastasis of colorectal cancer and degree of enhancement using contrast-enhanced computed tomographyCancer Chemotherapy and Pharmacology 2013; 72(1): 209 doi: 10.1007/s00280-013-2186-x
15
Ping Xie, Kefu Liu, Weijun Peng, Zhengrong Zhou. The Correlation Between Diffusion-Weighted Imaging at 3.0-T Magnetic Resonance Imaging and Histopathology for Pancreatic Ductal AdenocarcinomaJournal of Computer Assisted Tomography 2015; 39(5): 697 doi: 10.1097/RCT.0000000000000274
16
Xiaoli Cai, Feng Gao, Yafei Qi, Gongyu Lan, Xianyi Zhang, Ruoyun Ji, Youli Xu, Chang Liu, Yu Shi. Pancreatic adenocarcinoma: quantitative CT features are correlated with fibrous stromal fraction and help predict outcome after resectionEuropean Radiology 2020; 30(9): 5158 doi: 10.1007/s00330-020-06853-2
17
Takuya Seko, Hiroki Kato, Tomohiro Ando, Kazuhiro Kobayashi, Hirofumi Shibata, Takenori Ogawa, Masaya Kawaguchi, Yoshifumi Noda, Fuminori Hyodo, Masayuki Matsuo. Thyroid hemiatrophy associated with papillary thyroid carcinomaNeuroradiology 2024; 66(10): 1795 doi: 10.1007/s00234-024-03442-8
18
Yizhang Zhou, Song Gao, Bodong Zhou, Shuai Yuan, He Ren, Yifei Wang, Xiaofan Guo, Jin Ren, Zhiqiang Chen, Jihui Hao. Delta HU is a potential marker to predict chemotherapy response for unresectable pancreatic ductal adenocarcinomaPancreatology 2021; 21(4): 763 doi: 10.1016/j.pan.2021.02.016
19
Haoda Chen, Ningzhen Fu, Jingyu Zhong, Chao Wang, Zhiwei Xu, Weishen Wang, Dongfeng Cheng, Yuanchi Weng, Xiaxing Deng, Baiyong Shen. Enhancement pattern of the pancreatic parenchyma predicts postpancreatectomy acute pancreatitis after pancreaticoduodenectomyEuropean Radiology 2023; 34(1): 6 doi: 10.1007/s00330-023-09927-z
20
Hamid Chalian, Sandra M. Tochetto, Hüseyin G. Töre, Pedram Rezai, Vahid Yaghmai. Hepatic Tumors: Region-of-Interest versus Volumetric Analysis for Quantification of Attenuation at CTRadiology 2012; 262(3): 853 doi: 10.1148/radiol.11110106
21
Bas Boekestijn, Shirin Feshtali, Hans Vasen, Monique E. van Leerdam, Bert A. Bonsing, J. Sven D. Mieog, Martin N. Wasser. Screening for pancreatic cancer in high-risk individuals using MRI: optimization of scan techniques to detect small lesionsFamilial Cancer 2024; 23(3): 295 doi: 10.1007/s10689-024-00394-z
22
A. Luna, T. Martín Noguerol, L. Alcalá Mata. Bases de la imagen funcional I: técnicas en uso clínico actualmenteRadiología 2018; 60: 2 doi: 10.1016/j.rx.2018.02.007
23
Elif Gündoğdu, Abdullah Küçükhüseyin. Qualitative and quantitative imaging features of solid pancreas tumours in portal venous phase CT: are they useful in determining tumour type and grade?Polish Journal of Radiology 2024; 89: 140 doi: 10.5114/pjr.2024.136423
24
Dong Woo Shin, Jaewon Park, Jong-Chan Lee, Jaihwan Kim, Young Hoon Kim, Jin-Hyeok Hwang. Multi-Phase, Contrast-Enhanced Computed Tomography-Based Radiomic Prognostic Marker of Non-Metastatic Pancreatic Ductal AdenocarcinomaCancers 2022; 14(10): 2476 doi: 10.3390/cancers14102476
25
Liang Zhu, Xiaohua Shi, Huadan Xue, Huanwen Wu, Ge Chen, Hao Sun, Yonglan He, Zhengyu Jin, Zhiyong Liang, Zhuoli Zhang. CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer SurgeryMedicine 2016; 95(5): e2664 doi: 10.1097/MD.0000000000002664
26
Yan-Jie Shi, Shuo Yan, Xin Yang, Zhen Guan, Xiao-Ting Li, Lin-Lin Wang, Liang Dai, Ying-Shi Sun. Early Contrast-Enhanced MR for Diagnosing Complete Tumor Response of Locally Advanced Esophageal Squamous Cell Carcinoma After Neoadjuvant Therapy: A Retrospective Comparative StudyAnnals of Surgical Oncology 2024; 31(7): 4271 doi: 10.1245/s10434-024-15123-0
27
Tiansong Xie, Xuebin Xie, Wei Liu, Lei Chen, Kefu Liu, Zhengrong Zhou. Prediction of postoperative recurrence in resectable pancreatic body/tail adenocarcinoma: a novel risk stratification approach using a CT-based nomogramEuropean Radiology 2023; 33(11): 7782 doi: 10.1007/s00330-023-10047-x
28
Daniel V.T. Catenacci, Melissa R. Junttila, Theodore Karrison, Nathan Bahary, Margit N. Horiba, Sreenivasa R. Nattam, Robert Marsh, James Wallace, Mark Kozloff, Lakshmi Rajdev, Deirdre Cohen, James Wade, Bethany Sleckman, Heinz-Josef Lenz, Patrick Stiff, Pankaj Kumar, Peng Xu, Les Henderson, Naoko Takebe, Ravi Salgia, Xi Wang, Walter M. Stadler, Frederic J. de Sauvage, Hedy L. Kindler. Randomized Phase Ib/II Study of Gemcitabine Plus Placebo or Vismodegib, a Hedgehog Pathway Inhibitor, in Patients With Metastatic Pancreatic CancerJournal of Clinical Oncology 2015; 33(36): 4284 doi: 10.1200/JCO.2015.62.8719
29
Xiaohua Chen, Ke Ren, Pan Liang, Jiayin Li, Kuisheng Chen, Jianbo Gao. Association between spectral computed tomography images and clinicopathological features in advanced gastric adenocarcinomaOncology Letters 2017;  doi: 10.3892/ol.2017.7064
30
Woorim Seo, Young Chul Kim, Seon Jeong Min, Sang Min Lee. Enhancement parameters of contrast-enhanced computed tomography for pancreatic ductal adenocarcinoma: Correlation with pathologic gradingWorld Journal of Gastroenterology 2020; 26(28): 4151-4158 doi: 10.3748/wjg.v26.i28.4151
31
Soon Ho Yoon, Jeong Min Lee, Jae Yoon Cho, Kyung Bun Lee, Ji Eun Kim, Seung Kyoung Moon, Soo Jin Kim, Jee Hyun Baek, Seung Ho Kim, Se Hyung Kim, Jae Young Lee, Joon Koo Han, Byung Ihn Choi. Small (≤20 mm) Pancreatic Adenocarcinomas: Analysis of Enhancement Patterns and Secondary Signs with Multiphasic Multidetector CTRadiology 2011; 259(2): 442 doi: 10.1148/radiol.11101133
32
Noritaka Kamei, Yasunari Yamada, Naoki Hijiya, Ryo Takaji, Maki Kiyonaga, Norio Hongo, Masayuki Ohta, Teijiro Hirashita, Masafumi Inomata, Shunro Matsumoto. Invasive intraductal papillary mucinous neoplasms of the pancreas: relationships between mural nodules detected on thin-section contrast-enhanced MDCT and invasive componentsAbdominal Radiology 2019; 44(9): 3139 doi: 10.1007/s00261-019-02084-2
33
John C. Chang, Madappa Kundranda. Novel Diagnostic and Predictive Biomarkers in Pancreatic AdenocarcinomaInternational Journal of Molecular Sciences 2017; 18(3): 667 doi: 10.3390/ijms18030667
34
Gabin Yun, Young Hoon Kim, Yoon Jin Lee, Bohyoung Kim, Jin-Hyeok Hwang, Dong Joon Choi. Tumor heterogeneity of pancreas head cancer assessed by CT texture analysis: association with survival outcomes after curative resectionScientific Reports 2018; 8(1) doi: 10.1038/s41598-018-25627-x
35
E. Frampas, O. Morla, N. Regenet, T. Eugène, B. Dupas, G. Meurette. A solid pancreatic mass: Tumour or inflammation?Diagnostic and Interventional Imaging 2013; 94(7-8): 741 doi: 10.1016/j.diii.2013.03.013
36
Olwen Westerland, Vicky Goh. Functional Imaging in Oncology2014; : 325 doi: 10.1007/978-3-642-40412-2_15
37
Jingzhi Huang, Jie Chen, Ming Xu, Yanling Zheng, Manxia Lin, Guangliang Huang, Xiaoyan Xie, Xiaohua Xie. Contrast-Enhanced Ultrasonography Findings Correlate with Pathologic Grades of Pancreatic Neuroendocrine TumorsUltrasound in Medicine & Biology 2021; 47(8): 2097 doi: 10.1016/j.ultrasmedbio.2021.02.013
38
Jong Keon Jang, Jae Ho Byun, Ji Hun Kang, Jung Hee Son, Jin Hee Kim, Seung Soo Lee, Hyoung Jung Kim, Changhoon Yoo, Kyu-pyo Kim, Seung-Mo Hong, Dong-Wan Seo, Song Cheol Kim, Moon-Gyu Lee. CT-determined resectability of borderline resectable and unresectable pancreatic adenocarcinoma following FOLFIRINOX therapyEuropean Radiology 2021; 31(2): 813 doi: 10.1007/s00330-020-07188-8
39
E. Belousova, G. Karmazanovsky, A. Kriger, D. Kalinin, L. Mannelli, A. Glotov, N. Karelskaya, O. Paklina, A. Kaldarov. Contrast-enhanced MDCT in patients with pancreatic neuroendocrine tumours: correlation with histological findings and diagnostic performance in differentiation between tumour gradesClinical Radiology 2017; 72(2): 150 doi: 10.1016/j.crad.2016.10.021
40
Fangqing Wang, Hang Guo, Shunjia Li, Jianwei Xu, Dexin Yu. The value of enhanced CT features and texture-signatures in assessing the inflammatory infiltration of pancreatic ductal adenocarcinomaFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1078861
41
Jianyi Li, Yang Zhang, Wenhai Zhang, Yang Gao, Shi Jia, Jiao Guo. Contrast enhanced computed tomography is indicative for angiogenesis pattern and display prognostic significance in breast cancerBMC Cancer 2014; 14(1) doi: 10.1186/1471-2407-14-672