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白 培, 宋 雪, 刘 庆, 刘 佳, 成 锦, 修 晓, 任 延, 王 成. [Automatic detection method of intracranial aneurysms on maximum intensity projection images based on SE-CaraNet]. SHENG WU YI XUE GONG CHENG XUE ZA ZHI = JOURNAL OF BIOMEDICAL ENGINEERING = SHENGWU YIXUE GONGCHENGXUE ZAZHI 2024; 41:228-236. [PMID: 38686402 PMCID: PMC11058495 DOI: 10.7507/1001-5515.202301008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/13/2024] [Indexed: 05/02/2024]
Abstract
Conventional maximum intensity projection (MIP) images tend to ignore some morphological features in the detection of intracranial aneurysms, resulting in missed detection and misdetection. To solve this problem, a new method for intracranial aneurysm detection based on omni-directional MIP image is proposed in this paper. Firstly, the three-dimensional magnetic resonance angiography (MRA) images were projected with the maximum density in all directions to obtain the MIP images. Then, the region of intracranial aneurysm was prepositioned by matching filter. Finally, the Squeeze and Excitation (SE) module was used to improve the CaraNet model. Excitation and the improved model were used to detect the predetermined location in the omni-directional MIP image to determine whether there was intracranial aneurysm. In this paper, 245 cases of images were collected to test the proposed method. The results showed that the accuracy and specificity of the proposed method could reach 93.75% and 93.86%, respectively, significantly improved the detection performance of intracranial aneurysms in MIP images.
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Affiliation(s)
- 培瑞 白
- 山东科技大学 电子信息工程学院(山东青岛 266590)School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, P. R. China
| | - 雪峰 宋
- 山东科技大学 电子信息工程学院(山东青岛 266590)School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, P. R. China
| | - 庆一 刘
- 山东科技大学 电子信息工程学院(山东青岛 266590)School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, P. R. China
| | - 佳慧 刘
- 山东科技大学 电子信息工程学院(山东青岛 266590)School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, P. R. China
| | - 锦 成
- 山东科技大学 电子信息工程学院(山东青岛 266590)School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, P. R. China
| | - 晓娜 修
- 山东科技大学 电子信息工程学院(山东青岛 266590)School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, P. R. China
| | - 延德 任
- 山东科技大学 电子信息工程学院(山东青岛 266590)School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, P. R. China
| | - 成健 王
- 山东科技大学 电子信息工程学院(山东青岛 266590)School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, P. R. China
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Cederberg KB, Iyer RS, Chaturvedi A, McCarville MB, McDaniel JD, Sandberg JK, Shammas A, Sharp SE, Nadel HR. Imaging of pediatric bone tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper. Pediatr Blood Cancer 2023; 70 Suppl 4:e30000. [PMID: 36250990 PMCID: PMC10661611 DOI: 10.1002/pbc.30000] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 11/08/2022]
Abstract
Malignant primary bone tumors are uncommon in the pediatric population, accounting for 3%-5% of all pediatric malignancies. Osteosarcoma and Ewing sarcoma comprise 90% of malignant primary bone tumors in children and adolescents. This paper provides consensus-based recommendations for imaging in children with osteosarcoma and Ewing sarcoma at diagnosis, during therapy, and after therapy.
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Affiliation(s)
- Kevin B. Cederberg
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ramesh S. Iyer
- Department of Radiology, Seattle Children’s Hospital, Seattle, WA
| | - Apeksha Chaturvedi
- Division of Pediatric Radiology, Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY
| | - MB McCarville
- Department of Diagnostic Imaging, St Jude Children’s Research Hospital, Memphis, TN
| | - Janice D. McDaniel
- Department of Pediatric Interventional Radiology, Akron Children’s Hospital, Akron, OH and Department of Radiology, Northeast Ohio Medical University, Rootstown, OH
| | - Jesse K. Sandberg
- Department of Pediatric Radiology, Lucile Packard Children’s Hospital, Stanford University, Stanford, CA
| | - Amer Shammas
- Division of Nuclear Medicine, Department of Diagnostic Imaging, The Hospital for Sick Children, University of Toronto, Toronto, OH, Canada
| | - Susan E. Sharp
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Helen R. Nadel
- Department of Pediatric Radiology, Lucile Packard Children’s Hospital, Stanford University, Stanford, CA
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Squires JH, Martinez-Rios C, Davis JC, Dietz KR, Epelman MS, Lai HA, Lim-Dunham JE, McDaniel JD, Mhlanga JC, Pandit-Taskar N, Parisi MT, Trout AT, Weidman EK, Alazraki AL. Imaging of pediatric thyroid tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper. Pediatr Blood Cancer 2023; 70 Suppl 4:e29957. [PMID: 36165682 PMCID: PMC10658740 DOI: 10.1002/pbc.29957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 08/12/2022] [Indexed: 11/09/2022]
Abstract
Pediatric thyroid cancer is rare in children; however, incidence is increasing. Papillary thyroid cancer and follicular thyroid cancer are the most common subtypes, comprising about 90% and 10% of cases, respectively. This paper provides consensus imaging recommendations for evaluation of pediatric patients with thyroid cancer at diagnosis and during follow-up.
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Affiliation(s)
- Judy H Squires
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
- Department of Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Claudia Martinez-Rios
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
- Department of Medical Imaging, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - James C Davis
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kelly R Dietz
- Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Monica S Epelman
- Department of Radiology, Nicklaus Children's Hospital, Miami, Florida, USA
| | - Hollie A Lai
- CHOC-Children's Health Orange County, Orange, California, USA
| | - Jennifer E Lim-Dunham
- Department of Radiology, Loyola University Stritch School of Medicine, Maywood, Illinois, USA
| | - Janice D McDaniel
- Department of Radiology, Akron Children's Hospital, Akron, Ohio, USA
- Department of Radiology, Northeast Ohio Medical University, Rootstown, Ohio, USA
| | - Joyce C Mhlanga
- Division of Nuclear Medicine, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri, USA
| | - Neeta Pandit-Taskar
- Department of Radiology, Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
- Department of Radiology, Weill Cornell Medical College, New York City, New York, USA
| | - Marguerite T Parisi
- Departments of Radiology and Pediatrics, University of Washington School of Medicine and Seattle Children's Hospital, Seattle, Washington, USA
| | - Andrew T Trout
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Elizabeth K Weidman
- Department of Radiology, Weill Cornell Medicine - New York Presbyterian Hospital, New York City, New York, USA
| | - Adina L Alazraki
- Department of Radiology, Division of Pediatric Radiology, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Radiology, Children's Healthcare of Atlanta, Atlanta, Georgia, USA
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da Silveira TLT, Pinto PGL, Lermen TS, Jung CR. Omnidirectional 2.5D representation for COVID-19 diagnosis using chest CTs. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2023; 91:103775. [PMID: 36741546 PMCID: PMC9886432 DOI: 10.1016/j.jvcir.2023.103775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/18/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
The Coronavirus Disease 2019 (COVID-19) has drastically overwhelmed most countries in the last two years, and image-based approaches using computerized tomography (CT) have been used to identify pulmonary infections. Recent methods based on deep learning either require time-consuming per-slice annotations (2D) or are highly data- and hardware-demanding (3D). This work proposes a novel omnidirectional 2.5D representation of volumetric chest CTs that allows exploring efficient 2D deep learning architectures while requiring volume-level annotations only. Our learning approach uses a siamese feature extraction backbone applied to each lung. It combines these features into a classification head that explores a novel combination of Squeeze-and-Excite strategies with Class Activation Maps. We experimented with public and in-house datasets and compared our results with state-of-the-art techniques. Our analyses show that our method provides better or comparable prediction quality and accurately distinguishes COVID-19 infections from other kinds of pneumonia and healthy lungs.
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Affiliation(s)
- Thiago L T da Silveira
- Institute of Informatics - Federal University of Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Paulo G L Pinto
- Institute of Informatics - Federal University of Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Thiago S Lermen
- Institute of Informatics - Federal University of Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Cláudio R Jung
- Institute of Informatics - Federal University of Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
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Clough A, Sanders J, Banfill K, Faivre-Finn C, Price G, Eccles CL, Aznar MC, Van Herk M. A novel use for routine CBCT imaging during radiotherapy to detect COVID-19. Radiography (Lond) 2022; 28:17-23. [PMID: 34332857 PMCID: PMC8299223 DOI: 10.1016/j.radi.2021.07.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 06/21/2021] [Accepted: 07/11/2021] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Thoracic CT is a useful tool in the early diagnosis of patients with COVID-19. Typical appearances include patchy ground glass shadowing. Thoracic radiotherapy uses daily cone beam CT imaging (CBCT) to check for changes in patient positioning and anatomy prior to treatment through a qualitative assessment of lung appearance by radiographers. Observation of changes related to COVID-19 infection during this process may facilitate earlier testing improving patient management and staff protection. METHODS A tool was developed to create overview reports for all CBCTs for each patient throughout their treatment. Reports contain coronal maximum intensity projection (MIP's) of all CBCTs and plots of lung density over time. A single therapeutic radiographer undertook a blinded off-line audit that reviewed 150 patient datasets for tool optimisation in which medical notes were compared to image findings. This cohort included 75 patients treated during the pandemic and 75 patients treated between 2014 and 2017. The process was repeated retrospectively on a subset of the 285 thoracic radiotherapy patients treated between January-June 2020 to assess the efficiency of the tool and process. RESULTS Three patients in the n = 150 optimisation cohort had confirmed COVID-19 infections during their radiotherapy. Two of these were detected by the reported image assessment process. The third case was not detected on CBCT due to minimal density changes in the visible part of the lungs. Within the retrospective cohort four patients had confirmed COVID-19 based on RT-PCR tests, three of which were retrospectively detected by the reported process. CONCLUSION The preliminary results indicate that the presence of COVID-19 can be detected on CBCT by therapeutic radiographers. IMPLICATIONS FOR PRACTICE This process has now been extended to clinical service with daily assessments of all thoracic CBCTs. Changes noted are referred for oncologist review.
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Affiliation(s)
- A Clough
- The Christie NHSFT, Manchester, United Kingdom.
| | - J Sanders
- The Christie NHSFT, Manchester, United Kingdom
| | - K Banfill
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - C Faivre-Finn
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - G Price
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - C L Eccles
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - M C Aznar
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - M Van Herk
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
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European guideline for imaging in paediatric and adolescent rhabdomyosarcoma - joint statement by the European Paediatric Soft Tissue Sarcoma Study Group, the Cooperative Weichteilsarkom Studiengruppe and the Oncology Task Force of the European Society of Paediatric Radiology. Pediatr Radiol 2021; 51:1940-1951. [PMID: 34137936 PMCID: PMC8426307 DOI: 10.1007/s00247-021-05081-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 01/25/2021] [Accepted: 04/14/2021] [Indexed: 02/08/2023]
Abstract
Appropriate imaging is essential in the treatment of children and adolescents with rhabdomyosarcoma. For adequate stratification and optimal individualised local treatment utilising surgery and radiotherapy, high-quality imaging is crucial. The paediatric radiologist, therefore, is an essential member of the multi-disciplinary team providing clinical care and research. This manuscript presents the European rhabdomyosarcoma imaging guideline, based on the recently developed guideline of the European Paediatric Soft Tissue Sarcoma Study Group (EpSSG) Imaging Committee. This guideline was developed in collaboration between the EpSSG Imaging Committee, the Cooperative Weichteilsarkom Studiengruppe (CWS) Imaging Group, and the Oncology Task Force of the European Society of Paediatric Radiology (ESPR). MRI is recommended, at diagnosis and follow-up, for the evaluation of the primary tumour and its relationship to surrounding tissues, including assessment of neurovascular structures and loco-regional lymphadenopathy. Chest CT along with [F-18]2-fluoro-2-deoxyglucose (FDG) positron emission tomography (PET)/CT or PET/MRI are recommended for the detection and evaluation of loco-regional and distant metastatic disease. Guidance on the estimation of treatment response, optimal long-term follow-up, technical imaging settings and standardised reporting are described. This European imaging guideline outlines the recommendations for imaging in children and adolescents with rhabdomyosarcoma, with the aim to harmonise imaging and to advance patient care.
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