Article
Radiology, Nuclear Medicine & Medical Imaging
Yoshiharu Ohno, Yuji Kishida, Shinichiro Seki, Hisanobu Koyama, Masao Yui, Kota Aoyagi, Takeshi Yoshikawa
Summary: This study compared the interobserver agreements and diagnostic accuracies for different imaging examinations in the staging of thymic epithelial tumors. The results showed that co-registered FDG-PET/MRI, MRI, and PET/CT had better interobserver agreements and diagnostic accuracies for the new IASLC/ITMIG thymic epithelial tumor staging.
ACADEMIC RADIOLOGY
(2022)
Article
Oncology
Wenzhang He, Chunchao Xia, Xiaoyi Chen, Jianqun Yu, Jing Liu, Huaxia Pu, Xue Li, Shengmei Liu, Xinyue Chen, Liqing Peng
Summary: This study investigated the differential diagnostic performance of CT-based radiomics in distinguishing thymic epithelial tumors (TETs) and lymphomas in the anterior mediastinum. The results showed that radiomics signature model and combined model exhibited outstanding and comparable diagnostic performances between TETs and lymphomas. This indicates that CT-based radiomics analysis may serve as an effective tool for accurately differentiating TETs from lymphomas before treatment.
FRONTIERS IN ONCOLOGY
(2022)
Article
Multidisciplinary Sciences
Steven Korevaar, Ruwan Tennakoon, Mark Page, Peter Brotchie, John Thangarajah, Cosmin Florescu, Tom Sutherland, Ning Mao Kam, Alireza Bab-Hadiashar
Summary: Prostate cancer is difficult to diagnose in its early stages due to lack of symptoms; a new deep convolutional neural network framework has been proposed for incidental detection of clinically significant prostate cancer in patients who had CT scans of the abdomen/pelvis for other reasons. The deep neural network pipeline achieved a significantly higher level of csPCa detection on CT compared to radiologists, showing promise for incidental detection.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Jorge Diaz-Alvarez, Patricia Roiz, Luis Gorospe, Ana Ayala, Sergio Perez-Pinto, Javier Martinez-Sanz, Matilde Sanchez-Conde, Jose L. Casado, Maria J. Perez-Elias, Ana Moreno, Raquel Ron, Maria J. Vivancos, Pilar Vizcarra, Santiago Moreno, Sergio Serrano-Villar
Summary: In this pilot program, the prevalence of lung cancer among people with HIV screened using LDCT was 3.6%, and the number needed to screen to detect one case of lung cancer was 28. While data from additional cohorts with longitudinal measurements are needed, people with HIV are a target population for lung cancer screening with LDCT.
Article
Medicine, General & Internal
Michael G. Milligan, Inga T. Lennes, Saif Hawari, Melin J. Khandekar, Yolonda Colson, Jo-Anne O. Shepard, Angela Frank, Lecia Sequist, Henning Willers, Florence K. Keane
Summary: This study conducted in a lung nodule and lung cancer screening clinic aimed to evaluate the role of stereotactic body radiation therapy among patients enrolled in a lung cancer screening program. The findings revealed that one in four patients with screen-detected pulmonary nodules requiring intervention were treated with stereotactic body radiation therapy, highlighting the importance of radiation oncologists in the multidisciplinary management of pulmonary nodules.
Article
Radiology, Nuclear Medicine & Medical Imaging
Edis Colak, Behzat Ozkan
Summary: Through re-evaluation of CT scans from 464 children, the study determined the morphologic features and measurements of the normal thymus in different age groups. The thymus in children typically has a triangular shape with straight lateral contours. Thymic dimensions decrease with age, and girls show slightly higher thymic attenuation values than boys.
JOURNAL OF THE BELGIAN SOCIETY OF RADIOLOGY
(2022)
Article
Oncology
P. Bradley, B. M. Bola, H. Balata, A. Sharman, R. Bootan, P. A. J. Crosbie
Summary: This study reports the prevalence of incidental findings in a lung cancer screening program. It found a significant number of extra-pulmonary malignancies, leading to further clinical management and interventions.
Review
Oncology
Jan P. Van Meerbeeck, Emma O'Dowd, Brian Ward, Paul Van Schil, Annemiek Snoeckx
Summary: This paper reviews the current status and challenges of lung cancer screening in Europe, emphasizing the importance of multidisciplinary cooperation. The implementation of Europe's Beating Cancer Plan is expected to promote the general implementation of lung cancer screening. Low-dose CT screening has shown significant reduction in lung cancer-specific mortality in high-risk populations. The implementation of population-based lung cancer screening in Europe is variable and fragmented, mainly due to the cost and capacity of CT scanners and radiologists.
Review
Pathology
Katrina Collins, Thomas M. Ulbright, Jessica L. Davis
Summary: This article reports a rare case of adult thymic neuroblastoma. The histological and immunohistochemical findings of the tumor resemble olfactory neuroblastoma rather than pediatric-type neuroblastoma. Due to the rarity of adult thymic neuroblastoma, other types of tumors should be excluded.
DIAGNOSTIC PATHOLOGY
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Kailash Chaurasiya, Elena Kireeva, Tatyana Shamanskaya, Denis Kachanov, Yury Likar
Summary: Primary neuroblastoma is the most common extracranial solid tumor in children, usually found in the abdominal/retroperitoneal region or thorax. This case report presents an extremely rare occurrence of primary neuroblastoma in the thymus of a pediatric patient.
CLINICAL NUCLEAR MEDICINE
(2023)
Article
Medicine, General & Internal
Caryn E. S. Oshiro, Timothy B. Frankland, Joanne Mor, Carmen P. Wong, Yannica Theda Martinez, Cheryl K. K. Aruga, Stacey Honda
Summary: The study examined racial and ethnic differences in lung cancer screening completion and follow-up rates in a multiethnic population in Hawaii. Disparities were found in completion rates among different racial and ethnic groups, with Asian individuals and their subgroups having higher completion rates.
Article
Cardiac & Cardiovascular Systems
Alexander T. Sandhu, Fatima Rodriguez, Summer Ngo, Bhavik N. Patel, Domenico Mastrodicasa, David Eng, Nishith Khandwala, Sujana Balla, Doug Sousa, David J. Maron
Summary: This study evaluated the impact of notifying clinicians and patients about incidental coronary artery calcium (CAC) on statin initiation. The results showed that notifying patients and clinicians about incidental CAC significantly increased the prescription rate of statin medication.
Article
Orthopedics
Chenliang Wu, Beibei Liu, Caiqi Xu, Song Zhao, Yuehua Li, Junjie Xu, Jinzhong Zhao
Summary: This study investigated the relationship between native glenoid depth and the morphology of Hill-Sachs lesions (HSLs). It found that deeper native glenoids were independently and positively associated with greater HSL depth, width, volume, and medialization. Patients with deeper native glenoids were also more likely to have off-track HSLs.
AMERICAN JOURNAL OF SPORTS MEDICINE
(2023)
Article
Veterinary Sciences
Alessia Cordella, Jimmy H. Saunders, Emmelie Stock
Summary: The thymus undergoes changes with age, becoming smaller and replacing active tissue with fat. Computed tomography is commonly used to visualize and describe the thymus in humans, but little is known about the appearance in dogs. This study compared the appearance of the thymus in adult dogs with neoplasia and juvenile dogs, and found significant differences.
VETERINARY SCIENCES
(2023)
Article
Multidisciplinary Sciences
Rachael Dodd, Ashleigh Sharman, Henry Marshall, Mei Ling M. Yap, Emily Stone, Joel Rhee, A. O. M. Sue McCullough, Nicole Rankin
Summary: Lung cancer is the leading cause of cancer death worldwide. The use of low dose computed tomography (LDCT) for targeted screening has been shown to reduce lung cancer mortality, but implementing screening in the high-risk population presents complex health system challenges that need to be understood to support policy change.
Article
Radiology, Nuclear Medicine & Medical Imaging
Soon Ho Yoon, Jong Hyuk Lee, Baek-Nam Kim
Summary: This study compared the chest CT findings of SARS-CoV-2 between Delta and Omicron variants. The results showed that compared to the Delta variant, the Omicron variant exhibited non-typical peribronchovascular pneumonia and less pulmonary vascular involvement on CT.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hyungjin Kim, Kwang Nam Jin, Seung-Jin Yoo, Chang Hoon Lee, Sang-Min Lee, Hyunsook Hong, Joseph Nathanael Witanto, Soon Ho Yoon
Summary: A deep learning-based multidimensional model was developed to estimate total lung capacity from chest radiographs and demographic variables, and its technical performance and clinical utility were validated using multicenter retrospective data sets.
Review
Radiology, Nuclear Medicine & Medical Imaging
Jong Hyuk Lee, Jaemoon Koh, Yoon Kyung Jeon, Jin Mo Goo, Soon Ho Yoon
Summary: This article reviews the radiologic and pathologic findings of epithelial and endothelial injuries in COVID-19 pneumonia, exploring their corresponding pathologic features and vascular abnormalities, as well as the role of CT in diagnosis and prognosis assessment.
Article
Radiology, Nuclear Medicine & Medical Imaging
Ieun Yoon, Jung Hee Hong, Joseph Nathanael Witanto, Jae-Joon Yim, Nakwon Kwak, Jin Mo Goo, Soon Ho Yoon
Summary: This study investigates the clinical significance of CT cavity volume in tuberculosis (TB) and non-tuberculous mycobacterial pulmonary disease (NTM-PD), and develops a 3D nnU-Net model to automatically detect and quantify cavity volume on CT images. The results show that CT cavity volume is associated with sputum positivity in TB and necessity of treatment in NTM-PD. The nnU-Net model accurately detects and quantifies mycobacterial cavities on chest CT, aiding in the assessment of TB infectivity and initiation of NTM-TB treatment.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Health Care Sciences & Services
Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Summary: This study aimed to develop and validate a prediction model using chest radiography (CXR) and clinical variables to predict clinical outcomes in COVID-19 patients. The combined model using an AI model and clinical information showed good performance in predicting ARDS and need for oxygen supplementation in COVID-19 patients.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Soon Ho Yoon, Jin Mo Goo
Article
Geriatrics & Gerontology
Jong Hyuk Lee, Seung Ho Choi, Keum Ji Jung, Jin Mo Goo, Soon Ho Yoon
Summary: This study investigated the prognostic role of increased visceral fat attenuation (VFA) in long-term mortality and low-grade inflammation. It found that VFA was associated with overall survival, cancer-specific survival, and non-cancer-specific survival. Additionally, VFA could further classify sarcopenic obesity (SO) defined by body mass index (BMI) or visceral fat volume index (VFI) and identify individuals at higher risk of long-term mortality.
JOURNAL OF CACHEXIA SARCOPENIA AND MUSCLE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jung Hee Hong, Hyunsook Hong, Ye Ra Choi, Dong Hyun Kim, Jin Young Kim, Jeong-Hwa Yoon, Soon Ho Yoon
Summary: This study aimed to evaluate the correlation between single- and multi-slice cross-sectional thoracolumbar and whole-body compositions. Retrospective analysis of patients who underwent whole-body PET-CT scans was conducted. The results showed that single-slice L2-3 (abdominal CT range) and L1 (chest CT range) analysis had the best correlation of around 0.90 with whole-body composition. Multi-slice waist averaging provided a slightly higher correlation of 0.92.
INSIGHTS INTO IMAGING
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Bo Da Nam, Hyunsook Hong, Soon Ho Yoon
Summary: This study meta-analyzed diagnostic performance measures of standardized typical CT findings for COVID-19 and found that they provided moderate sensitivity and high specificity globally, regardless of region and national income. The findings were also highly reproducible between radiologists.
INSIGHTS INTO IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Seung-Jin Yoo, Hyungjin Kim, Joseph Nathanael Witanto, Shohei Inui, Jeong-Hwa Yoon, Ki-Deok Lee, Yo Won Choi, Jin Mo Goo, Soon Ho Yoon
Summary: A generative adversarial network (GAN) was developed to automatically quantify COVID-19 pneumonia on chest radiographs. The GAN was trained using 50,000 non-COVID-19 chest CT scans and generated virtual radiographs of the chest, lungs, and pneumonia. The study demonstrated the effectiveness of the GAN in assessing COVID-19 pneumonia and predicting unfavorable outcomes through correlation analysis and prediction modeling.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Correction
Health Care Sciences & Services
Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Correction
Medicine, General & Internal
Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Ji Eun Jo, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong
JOURNAL OF KOREAN MEDICAL SCIENCE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Seul Bi Lee, Youngtaek Hong, Yeon Jin Cho, Dawun Jeong, Jina Lee, Soon Ho Yoon, Seunghyun Lee, Young Hun Choi, Jung-Eun Cheon
Summary: This study aimed to improve the performance of deep learning-based automated hepatic segmentation by using image standardization through deep learning-based computed tomography (CT) image conversion. The results showed that after image standardization, the Dice similarity coefficient (DSC) and difference ratio of liver volume significantly increased, indicating that deep learning-based CT image standardization can enhance the performance of automated hepatic segmentation.
KOREAN JOURNAL OF RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ju Gang Nam, Yunhee Choi, Sang-Min Lee, Soon Ho Yoon, Jin Mo Goo, Hyungjin Kim
Summary: The prognostic value of DL-driven CT fibrosis quantification in IPF was investigated. CT-Norm% and CT-Fib% showed significant correlations with FVC and D-LCO. Both CT-Norm% and CT-Fib% were independent prognostic factors for overall survival in IPF when adjusted for various variables. Substituting CT-Norm% for D-LCO showed comparable discrimination to the original GAP index.
EUROPEAN RADIOLOGY
(2023)
Article
Cardiac & Cardiovascular Systems
Mi Kyoung Song, Sang Yoon Lee, Soon Ho Yoon, Jeong-Wook Seo
Summary: This study investigated the clinical value of patient-specific 3D models in multidisciplinary discussions for patients with complex congenital heart defects (CHDs). The results showed that the use of 3D-printed models improved the understanding of the disease, facilitated multidisciplinary discussions, and enhanced surgical decision-making.
JOURNAL OF CARDIAC SURGERY
(2023)