Development and management of iatrogenic biloma post microwave ablation of solitary metastatic breast cancer lesion in the liver.

Thermal ablation is used to treat liver metastasis including those from breast cancer. The ablation is associated with pain, hemorrhage, and biliary structure damage leading to bilomas. Biloma is a collection of bile that can occur inside or outside the biliary system, which could happen as a rare complication of surgery (from procedures like abdominal surgery or diagnostic procedures), trauma, or spontaneously. We report a case of biloma development after microwave ablation (MWA) of a metastatic lesion in the liver. We present a 66-year-old female diagnosed with stage 4 intraductal carcinoma of the right breast with metastasis to the liver. She developed biloma and infarction of the left lobe of the liver following MWA, which was treated with percutaneous internal/external biliary drain placement. Her symptoms and liver function tests were completely resolved after 3 months, and her left hepatic lobe completely atrophied in the same period. Biloma is a rare but concerning complication of MWA, therefore high suspicion should be maintained in patients presenting with cholestatic symptoms and fever postprocedure. When identified, drainage with antibiotic therapy can effectively treat biloma and resolve the symptoms.

Stone Babies: A Pictorial Essay With Insights From 25 Museal Lithopaedions.

BACKGROUND: Lithopaedion, or "stone baby," represents an exceptionally rare clinical phenomenon with fewer than 350 documented cases existing in the medical literature. This condition arises when an advanced extrauterine pregnancy ceases its developmental trajectory and undergoes a lithification process, potentially resulting in a calcified mass with fetal-like morphology. Typically, lithopaedions remain asymptomatic for decades, but may occasionally elicit acute symptoms necessitating medical intervention. However, predominantly, these entities are incidental findings discovered during radiological examinations or autopsies. RESULTS: In this article, we present a comprehensive overview of 25 lithopaedion cases, including unreported cases from several European medical museums. When feasible, additional radiological imaging was conducted to enhance diagnostic clarity. Furthermore, this article situates lithopaedions within a broader historical perspective and a detailed etiopathogenetic framework, elucidating the physiological and pathological mechanisms contributing to their formation. The phenomenon of lithopaedion is a testimony to the complex and often enigmatic nature of the human body. CONCLUSIONS: By compiling and scrutinizing a substantial number of cases, this review offers valuable insights into the clinical implications of lithopaedions. Furthermore, it highlights the necessity for ongoing research and meticulous documentation of rare medical conditions like this, in order to contribute to a deeper understanding of extraordinary phenomena.

Role of Multidetector Computed Tomography Urography in Evaluating Obstructive Uropathy in a Tertiary Hospital in Rural India.

INTRODUCTION: This study aims to evaluate the role of multidetector computed tomography (MDCT) urography in cases of obstructive uropathy to determine the cause, side, site, and level of obstruction and to differentiate between acute and chronic cases of obstructive uropathy based on imaging features. METHODS: Using Cochran's formula, a sample size of 121 patients was calculated. The patients underwent computed tomography (CT) urography to assess the obstructing agents causing obstructive uropathy. The conducted scan had four phases: the non-contrast phase, corticomedullary phase, nephrographic phase, and excretory phase. We assessed the obstructive agents and the changes they caused in the urinary tract. RESULTS: A total of 74 patients (61.16%) had calculus as their obstructive agent, followed by stricture (14.88%). The obstructive agents were intraluminal in 102 patients (84.3%) and extraluminal in 19 patients (15.7%). The ureter was the most common site of obstruction, accounting for 41.32%. The acute cases were 66 (54.55%), and the chronic cases were 55 (45.45%). A statistically significant (p<0.05) association was found using the chi-square test in the comparison of the enhancement and excretion of the kidneys and the type of case (acute or chronic). A statistically significant (p<0.05) association was found using the chi-square test in the comparison of the distribution of the secondary findings, such as perinephric fat stranding and perinephric fluid collection, and the type of case (acute or chronic). CONCLUSION: MDCT urography is a highly reliable method of imaging the cause of obstructing agents in cases of obstructive uropathy and the damage caused by them. The type of enhancement and excretion and the secondary findings play an important role in determining the acuteness or the chronicity of the obstructive agent.

Radiation Safety Awareness Among Non-radiology Staff at Tabuk Hospitals, Saudi Arabia.

BACKGROUND: Insufficient understanding of radiation safety contributes to heightened exposure vulnerability among patients and medical personnel. OBJECTIVES: This study assessed radiation safety awareness among non-radiology staff at Tabuk hospitals, Saudi Arabia. METHODS: This cross-sectional study included 203 non-radiology staff from the King Salman Armed Forces, King Fahad Specialist, and King Khaled Hospitals in Tabuk City, Saudi Arabia. A self-administered, structured questionnaire was used. Regression analysis was used to detect variables affecting radiation safety awareness. RESULTS: According to Bloom's cut-off categories for knowledge, most non-radiologists at Tabuk hospitals (76%) had low awareness levels. Having a moderate-to-high knowledge level regarding radiation safety was significantly associated with being a physician (p = 0.004), having a longer length of service (p = 0.001), having attended a radiation protection and safety course (p = 0.049), and increased frequency of ordering imaging per day (p < 0.001). Gender had no significant effect on the knowledge level (p = 0.854). Multivariate regression analysis revealed that the daily frequency of ordering images was the only independent significant factor associated with having a moderate-to-high level of knowledge (OR: 6.222, 95% CI: 2.706-14.308, p < 0.001). CONCLUSIONS: Non-radiologists in Tabuk hospitals have low awareness of radiation safety. Strong associations were noticed between awareness level and being a physician, having clinical experience, attending a radiation protection and safety course, and increasing the frequency of ordering imaging daily. Training courses about the hazards of radiation and the safety measures could lower the frequency of daily exposure to radiation.

A Rare Case of Large-Cell Neuroendocrine Carcinoma Metastasizing to the Brain: A Case Report.

Neuroendocrine tumors (NETs) encompass a diverse spectrum of neoplasms that can originate from various sites, including the gastrointestinal tract. Brain metastases from neuroendocrine tumors, while rare, present significant clinical challenges. In this case report, we present the unique instance of a 50-year-old female with a history of gastrointestinal neuroendocrine tumor who manifested left-sided weakness, tremors, and recurrent focal convulsions. Initial imaging scans revealed a lesion in the right parietal lobe, which was surgically excised and diagnosed as a metastatic large-cell neuroendocrine carcinoma. Post-surgery, the patient's condition stabilized, but she was subsequently advised to chemotherapy. This case underscores the infrequency of brain metastases in the context of gastrointestinal neuroendocrine tumors, underscoring the need for comprehensive screening in such scenarios. Given the aggressive nature of neuroendocrine carcinomas and their propensity to disseminate to the brain, early detection and intervention are crucial. Our rare case also underscores the importance of distinguishing high-grade neuroendocrine carcinomas, which necessitate intensive management, from less aggressive NETs and other metastatic neoplasms that have different treatment approaches.

The "Mustache sign:" An ancillary radiological sign for detecting L5/S1 spondylolisthesis.

Introduction and Aims: Grade 1 spondylolisthesis can be challenging to detect on magnetic resonance imaging (MRI), particularly for spinal surgeons and radiologists with limited experience interpreting spinal MRIs. This study aims to describe a unique sign described as a "mustache sign," which may assist in detecting subtle Grade I spondylolisthesis on sagittal sequences on MRI of the spine. Patients and Methods: A retrospective review of 50 lumbar spine MRI scans of patients with Grade I spondylolisthesis of L5/S1 performed over 3 years was conducted at a tertiary orthopedic spinal center in the United Kingdom. The scans were assessed for the presence of the "mustache sign" and findings were independently recorded by one musculoskeletal radiology registrar and one fellowship trained musculoskeletal radiologist with over 10 years of experience. Results: There were 35 females (70%) and 15 males (30%). The patient's mean age was 54.3 years (13-82). The "mustache sign" was present in 13 (26%) of these patients. Twelve of 13 scans (92%) positive for the sign also demonstrated pars interarticularis defects (P < 0.001, Fisher's Exact test), compared to those without the sign. There was excellent interobserver reliability with a kappa of 1. Conclusion: The "mustache sign" on MRI spine correlates well with the presence of Grade I spondylolisthesis. This ancillary sign can complement other previously described radiological findings on sagittal MRI sequences to confirm Grade I spondylolisthesis.

Trends and Public Perception of Artificial Intelligence in Medical Imaging: A Social Media Analysis.

The rapid advancement of artificial intelligence (AI) in medical imaging has generated significant interest and debate among healthcare professionals, researchers, and the general public. This study aims to explore trends and public perception of AI in medical imaging by analyzing social media discussions. Using a retrospective content analysis approach, social media posts from X (formerly known as Twitter) and Reddit were collected, covering discussions from 2019 to 2024. A total of 1,022 posts were analyzed after data cleaning, employing both qualitative and quantitative methods to examine sentiment, themes, and keyword frequencies. The sentiment analysis revealed that 55% of the comments expressed positive sentiments towards AI in medical imaging, emphasizing its potential to enhance diagnostic accuracy and efficiency. Neutral sentiments accounted for 35% of the posts, while 10% expressed negative sentiments, primarily focusing on concerns related to job displacement, ethical issues, and data privacy. Thematic analysis identified four primary themes: ethical and privacy concerns, job displacement, trust and reliability, and workflow efficiency. Keyword frequency analysis highlighted significant discussions around AI, imaging, and radiology. The results underscore both the optimism and concerns associated with AI in medical imaging, emphasizing the need for ongoing dialogue among technology developers, healthcare providers, and the public. Addressing ethical and privacy concerns, and integrating AI responsibly into clinical workflows, is crucial for maximizing its benefits and minimizing potential risks. These findings provide valuable insights into public perceptions and inform strategies for the effective and ethical implementation of AI technologies in healthcare.

My Short-Term Neurointerventional Training in Thailand Supported by a Women's Observership Program of the World Federation of Interventional and Therapeutic Neuroradiology.

This short report describes my personal experience of 1-month neurointerventional training at Ramathibodi Hospital in Thailand, supported by a women's observership grant from the World Federation of Interventional and Therapeutic Neuroradiology, in which many interventional neuroradiology (INR) fellows from various regions of Thailand also participated. The training program allowed me to experience numerous neurointerventional cases and to acquire skills on how to function as a member of the INR team. This experience prompts me to contemplate the significance of team-based medicine and the role of women in the field of neurosurgery and INR.

Current Radiology workforce perspective on the integration of artificial intelligence in clinical practice: A systematic review.

INTRODUCTION: Artificial Intelligence (AI) represents the application of computer systems to tasks traditionally performed by humans. The medical imaging profession has experienced a transformative shift through the integration of AI. While there have been several independent primary studies describing various aspects of AI, the current review employs a systematic approach towards describing the perspectives of radiologists and radiographers about the integration of AI in clinical practice. This review provides a holistic view from a professional standpoint towards understanding how the broad spectrum of AI tools are perceived as a unit in medical imaging practice. METHODS: The study utilised a systematic review approach to collect data from quantitative, qualitative, and mixed-methods studies. Inclusion criteria encompassed articles concentrating on the viewpoints of either radiographers or radiologists regarding the incorporation of AI in medical imaging practice. A stepwise approach was employed in the systematic search across various databases. The included studies underwent quality assessment using the Quality Assessment Tool for Studies with Diverse Designs (QATSSD) checklist. A parallel-result convergent synthesis approach was employed to independently synthesise qualitative and quantitative evidence and to integrate the findings during the discussion phase. RESULTS: Forty-one articles were included, all of which employed a cross-sectional study design. The main findings were themed around considerations and perspectives relating to AI education, impact on image quality and radiation dose, ethical and medico-legal implications for the use of AI, patient considerations and their perceived significance of AI for their care, and factors that influence development, implementation and job security. Despite varying emphasis, these themes collectively provide a global perspective on AI in medical imaging practice. CONCLUSION: While expertise levels are varied and different, both radiographers and radiologists were generally optimistic about incorporation of AI in medical imaging practice. However, low levels of AI education and knowledge remain a critical barrier. Furthermore, equipment errors, cost, data security and operational difficulties, ethical constraints, job displacement concerns and insufficient implementation efforts are integration challenges that should merit the attention of stakeholders.

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-35% of trainee radiologists are female, despite more than 50% of medical students' being female. Similar gender disparities are evident across the medical imaging professions. Generative artificial intelligence text-to-image production could reinforce or amplify gender biases. Methods: In March 2024, DALL-E 3 was utilized via GPT-4 to generate a series of individual and group images of medical imaging professionals: radiologist, nuclear medicine physician, radiographer, nuclear medicine technologist, medical physicist, radiopharmacist, and medical imaging nurse. Multiple iterations of images were generated using a variety of prompts. Collectively, 120 images were produced for evaluation of 524 characters. All images were independently analyzed by 3 expert reviewers from medical imaging professions for apparent gender and skin tone. Results: Collectively (individual and group images), 57.4% (n = 301) of medical imaging professionals were depicted as male, 42.4% (n = 222) as female, and 91.2% (n = 478) as having a light skin tone. The male gender representation was 65% for radiologists, 62% for nuclear medicine physicians, 52% for radiographers, 56% for nuclear medicine technologists, 62% for medical physicists, 53% for radiopharmacists, and 26% for medical imaging nurses. For all professions, this overrepresents men compared with women. There was no representation of persons with a disability. Conclusion: This evaluation reveals a significant overrepresentation of the male gender associated with generative artificial intelligence text-to-image production using DALL-E 3 across the medical imaging professions. Generated images have a disproportionately high representation of white men, which is not representative of the diversity of the medical imaging professions.

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 1: Preliminary Evaluation.

Generative artificial intelligence (AI) text-to-image production could reinforce or amplify gender and ethnicity biases. Several text-to-image generative AI tools are used for producing images that represent the medical imaging professions. White male stereotyping and masculine cultures can dissuade women and ethnically divergent people from being drawn into a profession. Methods: In March 2024, DALL-E 3, Firefly 2, Stable Diffusion 2.1, and Midjourney 5.2 were utilized to generate a series of individual and group images of medical imaging professionals: radiologist, nuclear medicine physician, radiographer, and nuclear medicine technologist. Multiple iterations of images were generated using a variety of prompts. Collectively, 184 images were produced for evaluation of 391 characters. All images were independently analyzed by 3 reviewers for apparent gender and skin tone. Results: Collectively (individual and group characters) (n = 391), 60.6% were male and 87.7% were of a light skin tone. DALL-E 3 (65.6%), Midjourney 5.2 (76.7%), and Stable Diffusion 2.1 (56.2%) had a statistically higher representation of men than Firefly 2 (42.9%) (P < 0.0001). With Firefly 2, 70.3% of characters had light skin tones, which was statistically lower (P < 0.0001) than for Stable Diffusion 2.1 (84.8%), Midjourney 5.2 (100%), and DALL-E 3 (94.8%). Overall, image quality metrics were average or better in 87.2% for DALL-E 3 and 86.2% for Midjourney 5.2, whereas 50.9% were inadequate or poor for Firefly 2 and 86.0% for Stable Diffusion 2.1. Conclusion: Generative AI text-to-image generation using DALL-E 3 via GPT-4 has the best overall quality compared with Firefly 2, Midjourney 5.2, and Stable Diffusion 2.1. Nonetheless, DALL-E 3 includes inherent biases associated with gender and ethnicity that demand more critical evaluation.

Large language models for structured reporting in radiology: past, present, and future.

Structured reporting (SR) has long been a goal in radiology to standardize and improve the quality of radiology reports. Despite evidence that SR reduces errors, enhances comprehensiveness, and increases adherence to guidelines, its widespread adoption has been limited. Recently, large language models (LLMs) have emerged as a promising solution to automate and facilitate SR. Therefore, this narrative review aims to provide an overview of LLMs for SR in radiology and beyond. We found that the current literature on LLMs for SR is limited, comprising ten studies on the generative pre-trained transformer (GPT)-3.5 (n = 5) and/or GPT-4 (n = 8), while two studies additionally examined the performance of Perplexity and Bing Chat or IT5. All studies reported promising results and acknowledged the potential of LLMs for SR, with six out of ten studies demonstrating the feasibility of multilingual applications. Building upon these findings, we discuss limitations, regulatory challenges, and further applications of LLMs in radiology report processing, encompassing four main areas: documentation, translation and summarization, clinical evaluation, and data mining. In conclusion, this review underscores the transformative potential of LLMs to improve efficiency and accuracy in SR and radiology report processing. KEY POINTS: Question How can LLMs help make SR in radiology more ubiquitous? Findings Current literature leveraging LLMs for SR is sparse but shows promising results, including the feasibility of multilingual applications. Clinical relevance LLMs have the potential to transform radiology report processing and enable the widespread adoption of SR. However, their future role in clinical practice depends on overcoming current limitations and regulatory challenges, including opaque algorithms and training data.

Radiographic Tibial Tunnel Assessment After Anterior Cruciate Ligament Reconstruction Using Hamstring Tendon Autografts and Biocomposite Screws: A Prospective Study With 10-Year Follow-up.

Background: Biocomposite screws reportedly provide equivalent graft fixation in anterior cruciate ligament reconstruction (ACLR) to metallic screws while simplifying subsequent imaging and surgery. One purported complication of biocomposite screws is paradoxical tunnel widening. Previous studies on beta-tricalcium phosphate screws have only reported outcomes at short- and midterm follow-up. Purpose: To radiographically assess the tibial tunnel 10 years after ACLR using hamstring tendon autografts and biocomposite interference screws in anatomic single-bundle (SB) and double-bundle (DB) methods. Study Design: Case series; Level of evidence, 4. Methods: Of the 105 initially recruited patients, 61 (58%) completed all follow-up evaluations for inclusion in this long-term study. A total of 26 patients received anatomic SB ACLR and 35 patients received DB ACLR with biocomposite interference screws containing beta-tricalcium phosphate in the tibia. Weightbearing anteroposterior and lateral radiographs of the index knee were taken in the early postoperative period and at 2, 5, and 10 years postoperatively; computed tomography (CT) imaging was performed at 10-year follow-up. Subjective and objective clinical assessments were recorded preoperatively and at 10-year follow-up. Results: The mean follow-up period was 122 months. In 76% of radiographs in the SB group, the width of the tibial tunnel had not increased at 10 years compared with the early postoperative period. The mean tibial tunnel volume on CT in the SB group was 2.04 cm3 (± 0.85 cm3). In the DB group, the posterolateral tunnel width had not increased in 69% of radiographs; the same was found in 63% of radiographs for the anteromedial tunnel at 10-year follow-up. The mean posterolateral tunnel volume on CT was 2.04 cm3 (±1.92 cm3) and the mean anteromedial tunnel volume was 1.38 cm3 (±0.54 cm3). There was no correlation between tunnel widths and KT-1000 arthrometer assessments. There was a moderate but statistically significant correlation between SB tibial tunnel volume on CT imaging and KT-1000 arthrometer anterior 134 N side-to-side difference (r = 0.45; P = .039). Conclusion: Most patients' tibial tunnels had not increased on 1 or both radiographic views at 10-year follow-up compared with the early postoperative period after ACLR using biocomposite interference screws, with no obvious negative effect on outcomes. However, the tunnels were still visible in most patients at 10 years on standard radiographs and CT imaging.

Imaging of persistent bilateral occipital sinus with absent bilateral transverse sinus.

Persistent occipital sinus with absent/ hypoplastic bilateral transverse sinus is an extremely rare finding in adults; less than 10 cases have been reported. We present a case of a 28-year-old male who was brought to the emergency department in a post-ictal state associated with blurring of vision and 1 vomiting episode. Magnetic resonance imaging (MRI) with angiography and venography of the brain was advised, and the brain parenchyma was found to be anatomically normal. Incidental findings of the persistent occipital sinus with absent/ hypoplastic bilateral transverse sinus were made using venography imaging of the brain. This is a type of fetal presentation of venous blood flow. It is paramount to neurosurgeons because a prominent occipital sinus with an absent bilateral transverse sinus might change the surgical approach for the posterior fossa lesions.

Antoine Béclère (1856-1939): His Great Contribution to Radiotherapy.

After Wilhelm Conrad Röntgen discovered X-rays in 1895, French physician Antoine Louis Gustave Béclère pioneered the development of radiology in the late 1800s. Béclère recognized the enormous potential of radiation both diagnostically and therapeutically. His radiotherapy techniques quickly gained international renown. In 1897, he founded the world's first radiology teaching lab, the Hospital Radiology Laboratory at Tenon Hospital in Paris. As a hospital physician and researcher, Béclère also had endocrinology, immunology, and virology expertise and published several important papers on various diseases, including many articles on cancer treatment.

The association between patient age, abscess size, and white blood cell count on duration of catheter stay for percutaneous abscess drainage of abdominal abscesses.

OBJECTIVE: Knowing factors that impact catheter stay duration is important since removing drainage catheters too early or late can have significant consequences. We present a single center retrospective study that analyzes multiple variables, including abscess size, white blood cell count, and patient age, to see if a correlation between them and duration of catheter stay exists. The inclusion criteria were patients that had abdominal abscesses treated with percutaneous abscess drainage using a pigtail catheter, ≥ 18 years of age, and had available medical images and records. 44 patients were included. RESULTS: Among white blood cell count, patient age, and abscess volume, the only significant relationship with duration of catheter stay was abscess size (R = 0.42, p-value = 0.0049).

Minimal invasive treatment of liver and kidney metastasis in mucosal melanoma of the right inferior turbinate.

This case report describes an 80-year-old female patient who initially presented with nasal epistaxis. The patient had a history of atrial fibrillation and arterial hypertension. Computed tomography of the facial sinuses revealed a large mass in the inferior right turbinate with slight expansion into the maxillary sinus. Endoscopic excision of the right nasal cavity was performed, and the histologic workup revealed mucosal melanoma of the nasal cavity (cT3, cN0, cM0). A medial maxillectomy of the right side, including 2 biopsies within 1 month, showed no signs of recurrence. After 1 year, the patient was diagnosed with liver and renal metastases in a follow-up CT, which were treated with stereotactic radiofrequency ablation. After spending 2 weeks in the intensive care unit due to postoperative complications, the patient recovered and was discharged from the hospital in good condition. A promising alternative minimally invasive therapeutic strategy, highlighted by our case, should be considered as a primary goal of tumor reduction.

Exploring emphysematous osteomyelitis as a potential cause of severe unexplained back pain in advanced metastatic cancer patients.

Emphysematous osteomyelitis (EO) a rare and potentially life-threatening condition caused by gas-forming bacteria, can occasionally affect the spine. Timely diagnosis and appropriate intervention are crucial in preventing rapid deterioration. This article aims to provide insights into the clinical presentation and radiographic findings of emphysematous osteomyelitis of the spine in advanced metastatic cancer patients who may present with severe, unexplained back pain. We present 2 cases of emphysematous osteomyelitis in patients with advanced metastatic cancer. The first case was for a 37-year-old female and the second case was for a 66-year-old male. In both instances, the diagnosis was established based on distinctive radiographic findings. In both cases, the infection was caused by an unusual organism. Medical treatment resulted in pain management and an improvement in performance status for both patients. In conclusion, Emphysematous osteomyelitis (EO) is a rare condition that necessitates prompt diagnosis. The preferred imaging modalities for diagnosing EO are Computed Tomography (CT) rather than Magnetic Resonance Imaging (MRI). Therefore, a comprehensive radiological assessment is crucial in suspected cases. Early identification and treatment can significantly reduce morbidity in this vulnerable patient population and may improve prognosis.

Differential diagnosis between low-risk and high-risk thymoma: Comparison of diagnostic performance of radiologists with and without deep learning model.

Background: There are few CT-based deep learning (DL) studies on thymoma according to the World Health Organization classification. Purpose: To develop a CT-based DL model to distinguish between low-risk and high-risk thymoma and to compare the diagnostic performance of radiologists with and without the DL model. Material and Methods: 159 patients with 160 thymomas were included. A fine-tuning VGG16 network model with Adam optimizer was used, followed by k-fold cross validation. The dataset consisted of three axial slices, including the maximum tumor size from the CT volume data. The data were augmented 50 times by rotation, zoom, shear, and horizontal/vertical flip. Three independent networks for the CT dataset were considered, and the result was determined by voting. Three radiologists independently diagnosed thymomas with and without the model. The area under the curve (AUC) of the diagnostic performance was compared using receiver operating characteristic analysis. Results: Accuracy of the DL model was 71.3%. Diagnostic performance of the radiologists was as follows: AUC and accuracy without the DL model, 0.61-0.68 and 61.9%-69.3%; and with the DL model, 0.66-0.69 and 68.1%-70.0%, respectively. AUC of the diagnostic performance showed no significant differences between radiologists with and without the DL model. The DL model tended to increase the diagnostic accuracy, but AUC was not significantly improved. Conclusion: Diagnostic performance of the DL was comparable to that of radiologists. The DL model assistance tended to increase diagnostic accuracy.