Prostate Cancer Screening With MRI: Lessons Learned From Repeat Rounds of the GÖTEBORG-2 and STHLM3-MRI Trials
Survey of Experts' Opinions on the Diagnosis and Management of Pancreatic Cystic Neoplasms
To survey experts' opinions in abdominal radiology (radiologists) and pancreas-specialized gastroenterology (pancreatologists) in South Korea regarding diagnosing and managing pancreatic cystic neoplasms (PCNs).
Endovascular Treatment With Targeted Embolization of Cavernous Sinus Dural Arteriovenous Fistulas: A Single-Center Study
To assess the feasibility, efficacy, and safety of targeted embolization for cavernous sinus dural arteriovenous fistulas (CSDAVF).
Growth and Clinical Impact of Subsolid Lung Nodules ≥6 mm During Long-Term Follow-Up After Five Years of Stability
To investigate the incidence and timing of late growth of subsolid nodules (SSNs) ≥6 mm after initial 5-year stability, its clinical implications, and the appropriate follow-up strategy.
Comparing Oncologic Outcomes of Heat-Based Thermal Ablation and Cryoablation in Patients With T1a Renal Cell Carcinoma: A Population-Based Cohort Study From the SEER Database
There is controversy among different guidelines regarding the use of thermal ablation to treat clinical T1a renal cell carcinomas with tumor sizes ranging from 3.1-4 cm. Therefore, we compared oncological outcomes between heat-based thermal ablation (hTA) and cryoablation (CA) in patients with solid T1a renal cell carcinomas, including those with a tumor size ≤3 cm and a tumor size of 3.1-4 cm.
LI-RADS: Current Status and Future Directions
The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system that uses standardized terminology, technique, interpretation, and reporting of imaging studies for hepatocellular carcinoma surveillance, diagnosis, and locoregional treatment response assessment. Since its initial release in 2011, LI-RADS has evolved and expanded in scope. In this article, we discuss recent updates intended to address clinical needs and mitigate current challenges.
Response to "The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted"
The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted
Determining Disease Activity and Glucocorticoid Response in Thyroid-Associated Ophthalmopathy: Preliminary Study Using Dynamic Contrast-Enhanced MRI
To assess the role of dynamic contrast-enhanced (DCE)-MRI of the extraocular muscles (EOMs) for determining the activity of thyroid-associated ophthalmopathy (TAO) and treatment response to glucocorticoids (GCs).
Erratum: Standardized Ultrasound Evaluation for Active Surveillance of Low-Risk Thyroid Microcarcinoma in Adults: 2024 Korean Society of Thyroid Radiology Consensus Statement
This corrects the article on p. 942 in vol. 25, PMID: 39473087.
Standardized Ultrasound Evaluation for Active Surveillance of Low-Risk Thyroid Microcarcinoma in Adults: 2024 Korean Society of Thyroid Radiology Consensus Statement
Active surveillance (AS) has been widely adopted as an alternative to immediate surgery owing to the indolent nature and favorable outcomes of papillary thyroid microcarcinoma (PTMC). AS is generally recommended for tumors measuring ≤1 cm without aggressive cytological subtypes, risk of gross extrathyroidal extension (ETE), lymph node metastasis (LNM), or distant metastasis. AS requires careful patient selection based on various patient and tumor characteristics, and ultrasound (US) findings. Moreover, during AS, regular US is performed to monitor any signs of tumor progression, including tumor growth, new US features of potential gross ETE, and LNM. Therefore, appropriate imaging-based assessment plays a crucial role in determining whether AS or surgery should be pursued. However, detailed recommendations concerning US evaluation are currently insufficient, necessitating the formulation of this guideline. The Korean Society of Thyroid Radiology has developed a consensus statement for low-risk PTMC, covering US assessment methods when considering AS as a management option and conducting follow-up imaging tests during AS. This guideline aims to provide optimal scientific evidence and expert opinion consensus regarding a standardized US-based assessment protocol for low-risk PTMC.
Duration of Response as Clinical Endpoint: A Quick Guide for Clinical Researchers
Ultrasound Findings After Breast Cancer Radiation Therapy: Cutaneous, Pleural, Pulmonary, and Cardiac Changes
External beam radiation therapy (RT) can induce toxicity in patients surgically treated for breast cancer. Modern irradiation techniques have lowered the incidence and severity of radiation-induced injuries; however, their side effects on normal tissues remain challenging. This review illustrates early and late changes observed using ultrasound (US) imaging, including echocardiography, at the skin, muscle, pleura, lungs, and heart levels. The US findings and the potential role of this technique in detecting and grading early and late complications of RT are highlighted in this article. US has proven useful in the differential diagnosis of post-RT complications, including but not limited to cancer recurrence and toxicity from other sources, such as anticancer drugs. Additionally, considering the progressive nature of RT-induced injury, early detection of toxicity may be helpful in the individual stratification of damage risk and serve as a tool for patient screening and management. In these cases, US can be used as a radiation-free biomarker of RT side effects at the subclinical stage.
Image-Based Generative Artificial Intelligence in Radiology: Comprehensive Updates
Generative artificial intelligence (AI) has been applied to images for image quality enhancement, domain transfer, and augmentation of training data for AI modeling in various medical fields. Image-generative AI can produce large amounts of unannotated imaging data, which facilitates multiple downstream deep-learning tasks. However, their evaluation methods and clinical utility have not been thoroughly reviewed. This article summarizes commonly used generative adversarial networks and diffusion models. In addition, it summarizes their utility in clinical tasks in the field of radiology, such as direct image utilization, lesion detection, segmentation, and diagnosis. This article aims to guide readers regarding radiology practice and research using image-generative AI by 1) reviewing basic theories of image-generative AI, 2) discussing the methods used to evaluate the generated images, 3) outlining the clinical and research utility of generated images, and 4) discussing the issue of hallucinations.
Imaging Surveillance After Breast-Conserving Surgery for Cancer With Acellular Dermal Matrix Reconstruction
The aim of this study was to investigate postoperative imaging findings of patients who underwent breast-conserving surgery for cancer and reconstruction with MegaDerm (sheet-type and pellet-type), analyzing false positives and recurrences, using multi-modality images.
Effect of Microwave Ablation Power and Antenna Approach on Tumor Seeding: An Ex Vivo Subcapsular Tumor Model Study
To evaluate the effects of microwave (MW) power and antenna approach methods on extrahepatic tumor seeding and ablation zone size using an ex vivo subcapsular tumor-mimic model.
Angiographic Anatomy of the Prostatic Artery in the Korean Population: A Bicentric Retrospective Study
The aim of this study was to analyze the origins of prostatic arteries (PAs) in the Korean population and compare them with those reported in the literature.
Description of FDG and Prostate-Specific Membrane Antigen PET/CT Findings in Korean Patients With Advanced Metastatic Castration-Resistant Prostate Cancer
We aimed to describe the [F]fluorodeoxyglucose (FDG) and prostate-specific membrane antigen (PSMA) PET/CT findings in Korean men with advanced metastatic castration-resistant prostate cancer (mCRPC).
Insufficient Transparency in Stochasticity Reporting in Large Language Model Studies for Medical Applications in Leading Medical Journals
Letter to the Editor "Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes"