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Hishiki T, Honda S, Takama Y, Inomata Y, Okajima H, Hoshino K, Suzuki T, Souzaki R, Wada M, Kasahara M, Mizuta K, Oue T, Yokoi A, Kazama T, Komatsu S, Saeki I, Miyazaki O, Takimoto T, Ida K, Watanabe K, Hiyama E. Feasibility of Real-Time Central Surgical Review for Patients with Advanced-Stage Hepatoblastoma in the JPLT3 Trial. CHILDREN (BASEL, SWITZERLAND) 2022; 9:children9020234. [PMID: 35204954 PMCID: PMC8870682 DOI: 10.3390/children9020234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/01/2022] [Accepted: 02/05/2022] [Indexed: 12/16/2022]
Abstract
In the JPLT3 study, a real-time central surgical reviewing (CSR) system was employed aimed at facilitating early referral of candidates for liver transplantation (LTx) to centers with pediatric LTx services. The expected consequence was surgery, including LTx, conducted at the appropriate time in all cases. This study aimed to review the effect of CSR on institutional surgical decisions in cases enrolled in the JPLT3 study. Real-time CSR was performed in cases in which complex surgeries were expected, using images obtained after two courses of preoperative chemotherapy. Using the cloud-based remote image viewing system, an expert panel consisting of pediatric and transplant surgeons reviewed the images and commented on the expected surgical strategy or the necessity of transferring the patient to a transplant unit. The results were summarized and reported to the treating institutions. A total of 41 reviews were conducted for 35 patients, and 16 cases were evaluated as possible candidates for LTx, with the treating institutions being advised to consult a transplant center. Most of the reviewed cases promptly underwent definitive liver surgeries, including LTx per protocol.
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Affiliation(s)
- Tomoro Hishiki
- Department of Pediatric Surgery, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Chiba, Japan;
- Correspondence:
| | - Shohei Honda
- Department of Gastroenterological Surgery I, Hokkaido University Hospital, Sapporo 060-8648, Hokkaido, Japan;
| | - Yuichi Takama
- Department of Pediatric Surgery, Osaka City General Hospital, Osaka 534-0021, Osaka, Japan;
| | | | - Hideaki Okajima
- Department of Pediatric Surgery, Kanazawa Medical University, Kanazawa 920-0293, Ishikawa, Japan;
| | - Ken Hoshino
- Department of Pediatric Surgery, Keio School of Medicine, Keio University, Tokyo 108-8345, Tokyo, Japan;
| | - Tatsuya Suzuki
- Department of Pediatric Surgery, Fujita Health University Hospital, Toyoake 470-1192, Aichi, Japan;
| | - Ryota Souzaki
- Department of Pediatric Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Fukuoka, Japan;
| | - Motoshi Wada
- Department of Pediatric Surgery, Tohoku University School of Medicine, Sendai 980-8574, Miyagi, Japan; (M.W.); (T.K.)
| | - Mureo Kasahara
- Organ Transplantation Center, National Center for Child Health and Development, Tokyo 157-8535, Tokyo, Japan;
| | - Koichi Mizuta
- Transplant Center, Saitama Children’s Medical Center, Saitama 330-8777, Saitama, Japan;
| | - Takaharu Oue
- Department of Pediatric Surgery, Hyogo College of Medicine, Nishinomiya 663-8501, Hyogo, Japan;
| | - Akiko Yokoi
- Department of Pediatric Surgery, Kobe Children’s Hospital, Kobe 650-0047, Hyogo, Japan;
| | - Takuro Kazama
- Department of Pediatric Surgery, Tohoku University School of Medicine, Sendai 980-8574, Miyagi, Japan; (M.W.); (T.K.)
| | - Shugo Komatsu
- Department of Pediatric Surgery, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Chiba, Japan;
| | - Isamu Saeki
- Department of Pediatric Surgery, Hiroshima University Hospital, Hiroshima 734-8551, Hiroshima, Japan; (I.S.); (E.H.)
| | - Osamu Miyazaki
- Department of Diagnostic Radiology, National Center for Child Health and Development, Tokyo 157-8535, Tokyo, Japan;
| | - Tetsuya Takimoto
- Department of Childhood Cancer Data Management, National Center for Child Health and Development, Tokyo 157-8535, Tokyo, Japan;
| | - Kohmei Ida
- Department of Pediatrics, Teikyo University Mizonokuchi Hospital, Kawasaki 213-8507, Kanagawa, Japan;
| | - Kenichiro Watanabe
- Department of Hematology and Oncology, Shizuoka Children’s Hospital, Shizuoka 420-8660, Shizuoka, Japan;
| | - Eiso Hiyama
- Department of Pediatric Surgery, Hiroshima University Hospital, Hiroshima 734-8551, Hiroshima, Japan; (I.S.); (E.H.)
- Natural Science Center for Basic Research and Development, Hiroshima University, Hiroshima 734-8551, Hiroshima, Japan
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Liu L, Wang L, Huang Q, Zhou L, Fu X, Liu L. An efficient architecture for medical high-resolution images transmission in mobile telemedicine systems. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2020; 187:105088. [PMID: 31784039 DOI: 10.1016/j.cmpb.2019.105088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Revised: 09/17/2019] [Accepted: 09/21/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND AND OBJECTIVE The medical high-resolution image is very important in image processing and computer vision applications, which plays a critical role in image-guided diagnosis, clinical trials, consultation, and case discussion. How to efficiently access medical high-resolution images in mobile telemedicine systems is becoming a big challenge. Therefore, this work proposes an efficient pyramid architecture for optimizing medical high-resolution images transmission and rendering. METHODS The proposed architecture consists of three core schemes: (1) unbalance pyramid scheme based on geometric relationship, (2) indexing scheme based on hash table and lattice partitioning and (3) query scheme based on similar matching. Then, we design the responsive service components: generating service, indexing service, and query service. Finally, these services are combined into a prototype system that enables efficient transmission and rendering of medical high-resolution images. RESULTS The result shows that the unbalance pyramid scheme can quickly generate the pyramid structure and the corresponding image files. The indexing scheme can create the index structure and the index file in real-time. The query scheme can not only match the best layer to which the image block belongs in real-time, but also can accurately capture the query image block. CONCLUSIONS The prototype system based on proposed architecture is fully compliant with the DICOM standard, which can be seamlessly integrated with other existing medical systems or mobile applications, and used in various scenarios such as diagnosis, research, and education.
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Affiliation(s)
- Lijun Liu
- Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, China; Computer Technology Application Key Laboratory of Yunnan Province (Faculty of Information Engineering and Automation, Kunming University of Science and Technology), Kunming, 650500, China; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
| | - Lizhen Wang
- Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, China.
| | - Qingsong Huang
- Computer Technology Application Key Laboratory of Yunnan Province (Faculty of Information Engineering and Automation, Kunming University of Science and Technology), Kunming, 650500, China; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
| | - Lihua Zhou
- Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, China
| | - Xiaodong Fu
- Computer Technology Application Key Laboratory of Yunnan Province (Faculty of Information Engineering and Automation, Kunming University of Science and Technology), Kunming, 650500, China; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
| | - Li Liu
- Computer Technology Application Key Laboratory of Yunnan Province (Faculty of Information Engineering and Automation, Kunming University of Science and Technology), Kunming, 650500, China; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
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A cloud-based framework for large-scale traditional Chinese medical record retrieval. J Biomed Inform 2017; 77:21-33. [PMID: 29175431 DOI: 10.1016/j.jbi.2017.11.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Revised: 11/02/2017] [Accepted: 11/20/2017] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Electronic medical records are increasingly common in medical practice. The secondary use of medical records has become increasingly important. It relies on the ability to retrieve the complete information about desired patient populations. How to effectively and accurately retrieve relevant medical records from large- scale medical big data is becoming a big challenge. Therefore, we propose an efficient and robust framework based on cloud for large-scale Traditional Chinese Medical Records (TCMRs) retrieval. METHODS We propose a parallel index building method and build a distributed search cluster, the former is used to improve the performance of index building, and the latter is used to provide high concurrent online TCMRs retrieval. Then, a real-time multi-indexing model is proposed to ensure the latest relevant TCMRs are indexed and retrieved in real-time, and a semantics-based query expansion method and a multi- factor ranking model are proposed to improve retrieval quality. Third, we implement a template-based visualization method for displaying medical reports. RESULTS The proposed parallel indexing method and distributed search cluster can improve the performance of index building and provide high concurrent online TCMRs retrieval. The multi-indexing model can ensure the latest relevant TCMRs are indexed and retrieved in real-time. The semantics expansion method and the multi-factor ranking model can enhance retrieval quality. The template-based visualization method can enhance the availability and universality, where the medical reports are displayed via friendly web interface. CONCLUSIONS In conclusion, compared with the current medical record retrieval systems, our system provides some advantages that are useful in improving the secondary use of large-scale traditional Chinese medical records in cloud environment. The proposed system is more easily integrated with existing clinical systems and be used in various scenarios.
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