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Ultrasound features of primary non-Hodgkin’s lymphoma of the palatine tonsil:A case report

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World Journal of Clinical Cases 2021年第28期9卷 8470-8475页

作者： Ru Jiang Hong-Mei Zhang Lin-Ying Wang Lin-Ping Pian xin-wu cui The Third Clinical Medical College of Henan University of Chinese Medicine Henan University of Chinese MedicineZhengzhou 450000Henan ProvinceChina Department of Ultrasound The First Affiliated Hospital of Henan University of Chinese MedicineZhengzhou 450000Henan ProvinceChina Department of Medical Ultrasound Tongji HospitalTongji Medical College of Huazhong University of Science and TechnologyWuhan 430030Hubei ProvinceChina

BACKGROUND Lymphomas are the second most common malignancy of the head and *** this region,the vast majority of extranodal lymphomas are located in the palatine tonsil,accounting for about 51%.Tonsillar lymphomas are aggressive tumors with intermediate-or high-grade *** here report a case of primary non-Hodgkin’s lymphoma of the palatine tonsil and analyze its ultrasound *** SUMMARY A 40-year-old man presented with right palatine tonsil swelling for 2 mo after a cold,accompanied by dysphagia,snoring,and *** had no sore throat,fever,or history of upper respiratory tract infection or *** patient was generally in good health and denied other *** was diagnosed with acute tonsillitis initially and treated with antibiotics for 7 ***,there was no improvement with the *** biopsy and ultrasound-guided biopsy of the biggest lymph node of the right neck showed the typical pathology of non-Hodgkin *** Primary lymphoma of the tonsils is rare,and its diagnosis is ***-trasound is a useful modality in diagnosing oropharyngeal diseases,and can clearly show the features of this tumor,but the final diagnosis should be estab-lished by histology.

关键词： Ultrasound Primary non-Hodgkin’s lymphoma Palatine tonsil Case report

Endoscopic ultrasound elastography: current status and future perspectives

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World Journal of Gastroenterology 2015年第47期21卷 13212-13224页

作者： xin-wu cui Jian-Min Chang Quan-Cheng Kan Liliana Chiorean Andre Ignee Christoph F Dietrich Sino-German Research Center of Ultrasound in Medicine The First Affiliated Hospital of Zhengzhou University Medical Department 2 Caritas-Krankenhaus Bad Mergentheim Academic Teaching Hospital of the University of Würzburg Institute of Clinical Medicine The First Affiliated Hospital of Zhengzhou University Département d’imagerie médicale Clinique des Cévennes

Elastography is a new ultrasound modality that provides images and measurements related to tissue stiffness. Endoscopic ultrasound(EUS) has played an important role in the diagnosis and management of numerous abdominal and mediastinal diseases. Elastography by means of EUS examination can assess the elasticity of tumors in the proximity of the digestive tract that are hard to reach with conventional transcutaneous ultrasound probes, such as pancreatic masses and mediastinal or abdominal lymph nodes, thus improving the diagnostic yield of the procedure. Results from previous studies have promised benefits for EUS elastography in the differential diagnosis of lymph nodes, as well as for assessing masses with pancreatic or gastrointestinal(GI) tract locations. It is important to mention that EUS elastography is not considered a modality that can replace biopsy. However, it may be a useful adjunct, improving the accuracy of EUSfine needle aspiration biopsy(EUS-FNAB) by selecting the most suspicious area to be targeted. Even more, it may be useful for guiding further clinical management when EUS-FNAB is negative or inconclusive. In the present paper we will discuss the current knowledge of EUS elastography, including the technical aspects, along with its applications in the differential diagnosis between benign and malignant solid pancreatic masses and lymph nodes, as well as its aid in the differentiation between normal pancreatic tissues and chronic pancreatitis. Moreover, the emergent indication and future perspectives are summarized, such as the benefit of EUS elastography in EUS-guided fine needle aspiration biopsy, and its uses for characterization of lesions in liver, biliary tract, adrenal glands and GI tract.

关键词： Elastography Endoscopic ultrasound Characterization Pancreas Lymph nodes

Liver elastography, comments on EFSUMB elastography guidelines 2013

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World Journal of Gastroenterology 2013年第38期19卷 6329-6347页

作者： xin-wu cui Mireen Friedrich-Rust Chiara De Molo Andre Ignee Dagmar Schreiber-Dietrich Christoph F Dietrich Department of Internal Medicine Caritas-Krankenhaus Bad Mergentheim97980 Bad MergentheimGermany Department of Internal Medicine 1 J.W.Goethe University Hospital60590 FrankfurtGermany Department of Pediatrics Asklepiosklinik St. AugustinAbt. Neonatologie und P diatrische Intensivmedizin52757 St. AugustinGermany

Recently the European Federation of Societies for Ultrasound in Medicine and Biology Guidelines and Recommendations have been published assessing the clinical use of ultrasound *** document is intended to form a reference and to guide clinical users in a practical *** give practical advice for the use and *** disease forms the largest section,reflecting published experience to date including evidence from meta-analyses with shear wave and strain *** this review comments and illustrations on the guidelines are given.

关键词： Liver Ultrasound Elastography Guidelines Fibrosis

Ultrasonographic imaging of inflammatory bowel disease in pediatric patients

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World Journal of Gastroenterology 2015年第17期21卷 5231-5241页

作者： Liliana Chiorean Dagmar Schreiber-Dietrich Barbara Braden xin-wu cui Reiner Buchhorn Jian-Min Chang Christoph F Dietrich Sino-German Research Center of Ultrasound in Medicine the First Affiliated Hospital of Zhengzhou University Department of Ultrasonography "Octavian Fodor" Institute of Gastroenterology and Hepatology400162 Cluj-NapocaRomania Medical Department 2 Caritas-KrankenhausD-97980 Bad MergentheimGermany Translational Gastroenterology Unit Oxford University HospitalsOX3 9DU OxfordUnited Kingdom Department of Pediatrics Caritas-KrankenhausD-97980 Bad MergentheimGermany

Inflammatory bowel disease(IBD) is one of the most common chronic gastrointestinal diseases in pediatric *** the optimal imaging modality for the assessment of gastrointestinal disease in pediatric patients can be *** invasiveness and patient acceptance,the radiation exposure and the quality performance of the diagnostic test need to be *** reviewing the literature regarding imaging in inflammatory bowel disease the value of ultrasound in the clinical management of pediatric patients is *** ultrasound is a useful,noninvasive method for the initial diagnosis of IBD in children;it also provides guidance for therapeutic decisions and helps to characterize and predict the course of the disease in individual *** techniques including color Doppler imaging and contrast-enhanced ultrasound are promising imaging tools to determine disease activity and *** studies between different imaging methods are needed.

关键词： Ultrasonography Guidelines Complication Intestine Pediatrics

Artificial intelligence in medical imaging of the liver

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World Journal of Gastroenterology 2019年第6期25卷 672-682页

作者： Li-Qiang Zhou Jia-Yu Wang Song-Yuan Yu Ge-Ge wu Qi Wei You-Bin Deng xing-Long wu xin-wu cui Christoph F Dietrich Sino-German Tongji-Caritas Research Center of Ultrasound in Medicine Department of Medical Ultrasound Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Department of Ultrasound Tianyou Hospital Affiliated to Wuhan University of Technology School of Mathematics and Computer Science Wuhan Textitle University Medical Clinic 2 Caritas-Krankenhaus Bad Mergentheim Academic Teaching Hospital of the University of Würzburg

Artificial intelligence(AI), particularly deep learning algorithms, is gaining extensive attention for its excellent performance in image-recognition tasks. They can automatically make a quantitative assessment of complex medical image characteristics and achieve an increased accuracy for diagnosis with higher efficiency. AI is widely used and getting increasingly popular in the medical imaging of the liver, including radiology, ultrasound, and nuclear medicine. AI can assist physicians to make more accurate and reproductive imaging diagnosis and also reduce the physicians' workload. This article illustrates basic technical knowledge about AI, including traditional machine learning and deep learning algorithms, especially convolutional neural networks, and their clinical application in the medical imaging of liver diseases, such as detecting and evaluating focal liver lesions, facilitating treatment, and predicting liver treatment response. We conclude that machine-assisted medical services will be a promising solution for future liver medical care. Lastly, we discuss the challenges and future directions of clinical application of deep learning techniques.

关键词： Liver Imaging Ultrasound Artificial intelligence Machine learning Deep learning

Nomogram for predicting transmural bowel infarction in patients with acute superior mesenteric venous thrombosis

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World Journal of Gastroenterology 2020年第26期26卷 3800-3813页

作者： Meng Jiang Chang-Li Li Chun-Qiu Pan Wen-Zhi Lv Yu-Fei Ren xin-wu cui Christoph F Dietrich Sino-German Tongji-Caritas Research Center of Ultrasound in Medicine Department of Medical UltrasoundTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030Hubei ProvinceChina Department of Geratology Hubei Provincial Hospital of Integrated Chinese and Western MedicineWuhan 430015Hubei ProvinceChina Department of Emergency Medicine Nanfang HospitalSouthern Medical UniversityGuangzhou 510515Guangdong ProvinceChina Department of Artificial Intelligence Julei Technology CompanyWuhan 430030Hubei ProvinceChina Department of Computer Center Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030Hubei ProvinceChina Department of Internal Medicine Hirslanden ClinicBerne 27804Switzerland

BACKGROUND The prognosis of acute mesenteric ischemia(AMI)caused by superior mesenteric venous thrombosis(SMVT)remains undetermined and early detection of transmural bowel infarction(TBI)is *** predisposition to develop TBI is of clinical concern,which can lead to fatal sepsis with hemodynamic instability and multi-organ *** resection of necrotic bowel could improve the prognosis of AMI,however,accurate prediction of TBI remains a challenge for *** determining the eligibility for explorative laparotomy,the underlying risk factors for bowel infarction should be fully *** To develop and externally validate a nomogram for prediction of TBI in patients with acute *** Consecutive data from 207 acute SMVT patients at the wuhan Tongji Hospital and 89 patients at the Guangzhou Nanfang Hospital between July 2005 and December 2018 were included in this *** were grouped as training and external validation *** 207 cases(training cohort)from Tongji Hospital were divided into TBI and reversible intestinal ischemia groups based on the final therapeutic *** and multivariate logistic regression analyses were conducted to identify independent risk factors for TBI using the training data,and a nomogram was subsequently *** performance of the nomogram was evaluated with respect to discrimination,calibration,and clinical usefulness in the training and external validation *** Univariate and multivariate logistic regression analyses identified the following independent prognostic factors associated with TBI in the training cohort:The decreased bowel wall enhancement(OR=6.37,P2 mmol/L(OR=3.14,P=0.009)and previous history of deep venous thrombosis(OR=6.37,P<0.001).Incorporating these four factors,the nomogram achieved good calibration in the training set[area under the receiver operator characteristic curve(AUC)0.860;95%CI:0.771

关键词： Superior mesenteric venous thrombosis Acute mesenteric ischemia Transmural bowel infarction Reversible intestinal ischemia Predictors Nomogram

Artificial intelligence for hepatitis evaluation

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World Journal of Gastroenterology 2021年第34期27卷 5715-5726页

作者： Wei Liu Xue Liu Mei Peng Gong-Quan Chen Peng-Hua Liu xin-wu cui Fan Jiang Christoph F Dietrich Department of Medical Ultrasound The Second Hospital of Anhui Medical UniversityHefei 230601Anhui ProvinceChina Department of Medical Ultrasound Minda Hospital of Hubei Minzu UniversityEnshi 445000Hubei ProvinceChina Department of Medical Ultrasound The First Affiliated Hospital of Shaoyang UniversityShaoyang 422000Hunan ProvinceChina Sino-German Tongji-Caritas Research Center of Ultrasound in Medicine Department of Medical UltrasoundTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030Hubei ProvinceChina Department Allgemeine Innere Medizin Kliniken Hirslanden Beau SiteSalem und PermanenceBern 3626Switzerland

Recently,increasing attention has been paid to the application of artificial intelligence(AI)to the diagnosis of diverse hepatic diseases,which comprises traditional machine learning and deep *** studies have shown the possible value of AI based data mining in predicting the incidence of hepatitis,classifying the different stages of hepatitis,diagnosing or screening for hepatitis,forecasting the progression of hepatitis,and predicting response to antiviral drugs in chronic hepatitis C *** importantly,AI based on radiology has been proven to be useful in predicting hepatitis and liver fibrosis as well as grading hepatocellular carcinoma(HCC)and differentiating it from benign liver *** can predict the risk of vascular invasion of HCC,the risk of hepatic encephalopathy secondary to hepatitis B related cirrhosis,and the risk of liver failure after hepatectomy in HCC *** this review,we summarize the application of AI in hepatitis,and identify the challenges and future perspectives.

关键词： Machine learning Deep learning Radiomics Hepatitis Fibrosis Hepatocellular carcinoma

Ultrasound-based artificial intelligence in gastroenterology and hepatology

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World Journal of Gastroenterology 2022年第38期28卷 5530-5546页

作者： Ji-Qiao Liu Jia-Yu Ren Xiao-Lan Xu Li-Yan Xiong Yue-Xiang Peng Xiao-Fang Pan Christoph F Dietrich xin-wu cui Department of Medical Ultrasound Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030Hubei ProvinceChina Department of Ultrasound Wuhan Third HospitalTongren Hospital of Wuhan UniversityWuhan 430030Hubei ProvinceChina Health Medical Department Dalian Municipal Central HospitalDalian 116000Liaoning ProvinceChina Department Allgemeine Innere Medizin Kliniken Hirslanden Beau SiteSalem und PermanenceBern 3003Switzerland

Artificial intelligence (AI), especially deep learning, is gaining extensive attentionfor its excellent performance in medical image analysis. It can automatically makea quantitative assessment of complex medical images and help doctors to makemore accurate diagnoses. In recent years, AI based on ultrasound has been shownto be very helpful in diffuse liver diseases and focal liver lesions, such asanalyzing the severity of nonalcoholic fatty liver and the stage of liver fibrosis,identifying benign and malignant liver lesions, predicting the microvascularinvasion of hepatocellular carcinoma, curative transarterial chemoembolizationeffect, and prognoses after thermal ablation. Moreover, AI based on endoscopicultrasonography has been applied in some gastrointestinal diseases, such asdistinguishing gastric mesenchymal tumors, detection of pancreatic cancer andintraductal papillary mucinous neoplasms, and predicting the preoperative tumordeposits in rectal cancer. This review focused on the basic technical knowledgeabout AI and the clinical application of AI in ultrasound of liver and gastroenterologydiseases. Lastly, we discuss the challenges and future perspectives of AI.

关键词： Artificial intelligence Ultrasound Liver Gastroenterology Deep learning

Artificial intelligence in liver ultrasound

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World Journal of Gastroenterology 2022年第27期28卷 3398-3409页

作者： Liu-Liu Cao Mei Peng Xiang Xie Gong-Quan Chen Shu-Yan Huang Jia-Yu Wang Fan Jiang xin-wu cui Christoph F Dietrich Department of Medical Ultrasound The Second Hospital of Anhui Medical UniversityHefei 230601Anhui ProvinceChina Department of Medical Ultrasound Minda Hospital of Hubei Minzu UniversityEnshi 445000Hubei ProvinceChina Department of Medical Ultrasound The First People's Hospital of HuaihuaHuaihua 418000Hunan ProvinceChina Department of Medical Ultrasound Tongji Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030Hubei ProvinceChina Department Allgemeine Innere Medizin Kliniken Hirslanden Beau SiteSalem und PermanenceBern 3626Switzerland

Artificial intelligence(AI)is playing an increasingly important role in medicine,especially in the field of medical *** can be used to diagnose diseases and predict certain statuses and possible events that may ***,more and more studies have confirmed the value of AI based on ultrasound in the evaluation of diffuse liver diseases and focal liver *** can assess the severity of liver fibrosis and nonalcoholic fatty liver,differentially diagnose benign and malignant liver lesions,distinguish primary from secondary liver cancers,predict the curative effect of liver cancer treatment and recurrence after treatment,and predict microvascular invasion in hepatocellular *** findings from these studies have great clinical application potential in the near *** purpose of this review is to comprehensively introduce the current status and future perspectives of AI in liver ultrasound.

关键词： Machine learning Deep learning Radiomics Diffuse liver diseases Focal liver diseases Ultrasound