American College Of Radiology Research Articles

The diagnostic value of ultrasound on different-sized thyroid nodules based on ACR TI-RADS.

The thyroid nodule is one of the most common endocrine system diseases. Risk classification models based on ultrasonic features have been created by multiple professional societies, including the American College of Radiology (ACR), which published the Thyroid Imaging Reporting and Data System (TI-RADS) in 2017. The effect of the size in the diagnostic value of ultrasound remains not well defined. The purposes of our study aims to explore diagnostic value of the ACR TI-RADS on different-sized thyroid nodules. A total of 1183 thyroid nodules were selected from 952 patients with thyroid nodules confirmed by surgical pathology from January 2021 to October 2022. Based on the maximum diameters of the nodules, they were stratified into groups A ( ≤ 10 mm), B ( > 10 mm, < 20 mm) and C ( ≥ 20 mm). The ultrasonic features of the thyroid nodules in each group were evaluated and scored based on ACR TI-RADS, and the receiver operating characteristic curve (ROC) was plotted to determine the optimal cut-off value for the ACR TI-RADS scores and categories in each group. Finally, the diagnostic efficacy of ACR TI-RADS on different-sized thyroid nodules was analyzed. Among the 1183 thyroid nodules, 340 were benign, 10 were low-risk and 833 were malignant. For the convenience of statistical analysis, low-risk thyroid nodules were classified as malignant in this study. The ACR TI-RADS scores and categorical levels of malignant thyroid nodules in each group were higher than those of benign ones (p < 0.05). The areas under the ROCs (AUCs) plotted based on scores were 0.741, 0.907, and 0.904 respectively in the three groups, and the corresponding optimal cut-off values were > 6 points, > 5 points and > 4 points respectively. While the AUCs of the ACR TI-RADS categories were 0.668, 0.855, and 0.887 respectively in each group, with the optimal cut-off values were all > TR4. Besides, for thyroid nodules of larger sizes, ACR TI-RADS exhibited weaker sensitivity with lower positive prediction value (PPV), but the specificity and negative prediction value (NPV) were both higher, presenting with statistically significant differences (p < 0.05). For thyroid nodules of different sizes, the diagnostic efficacy of ACR TI-RADS varies as well. The system shows better diagnostic efficacy on thyroid nodules of > 10 mm than on those ≤ 10 mm. Considering the favorable prognosis of thyroid microcarcinoma and the low diagnostic efficacy of ACR TI-RADS on it, the scoring and classification of thyroid micro-nodules can be left out in appropriate cases, so as to avoid the over-diagnosis and over-treatment of thyroid microcarcinoma to a certain extent.

Ultrason Rehberliğinde Yapılan Meme Biopsi Hakkında Youtube Videoları Yararlı ve Güvenilir Mi?

Background: The aim of this study is to evaluate the usefulness and quality of YouTube videos on ultrasound-guided breast biopsy (UGBB) for patients. Materials and Methods: A video search was undertaken on YouTube on Aug 14, 2020 using the keywords, ‘breast biopsy’, ‘ultrasound-guided core biopsy’, ‘breast ultrasound’, and ‘breast biopsy ultrasound’. Top 100 videos were selected using each keyword (total 400 videos). After applying the exclusion criteria, 51 videos were evaluated by two researchers based on the patient information form of the American Cancer Society and American College of Radiology. According to these criteria, the videos were divided into four categories as very useful, useful, slightly useful, and not useful. Video parameters were compared between the groups by the Kruskal–Wallis test. Results: Of the 51 videos analyzed, 13.7% (n=7) were very useful, and 41.2% (n=21) were useful. Of the very useful videos, 85.7% (n=6) had been uploaded by physicians/hospitals. The DISCERN reliability score was significantly higher in very useful videos (median: 4, range: 2-5, p &amp;lt; 0.001). The length and number of likes and comments were significantly higher for the videos uploaded by civilian individuals (p=0.005, p=0.046, and p=0.013, respectively). Not useful and very useful videos were significantly longer (p = 0.01) Conclusion: Although the primary sources of high-quality and very useful YouTube videos about UGBB were physicians/hospital, a significant portion of low-quality videos had also been uploaded by this group. Thus, medical professionals should take care to upload well-informed videos.

CT MRI LI-RADS in Routine Practice

AbstractPrimary liver cancer is the third most common cause of cancer-related deaths worldwide with hepatocellular carcinoma (HCC) comprising the vast majority of the cases. HCC unlike most solid cancers can be diagnosed based on imaging findings alone using multiphasic contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI) without the need for histopathological confirmation in the majority of the cases. Liver Imaging Reporting and Data System (LI-RADS) was first introduced by the American College of Radiology in 2011 with the help of a multidisciplinary team of liver disease experts to improve the accuracy, consistency, and clarity of communication of imaging findings between radiologists and treating physicians. To date, LI-RADS has undergone four major updates in 2013, 2014, 2017, and 2018. This article reviews the technical aspects, categorization, and major and ancillary imaging features for the application of LI-RADS version 2018 using CT and MRI in routine clinical practice.

Evaluating Diagnostic Efficiency of Thyroid Imaging Reporting and Data Systems proposed by the American College of Radiology in Surgically Resected Thyroid Nodules.

Thyroid nodules are one of the most common clinical findings, with a prevalence of 68% in adults. Thyroid cancer is the fifth most common cancer in women. The purpose of this study is to evaluate the diagnostic efficacy of Thyroid Imaging Reporting and Data Systems proposed by the American College of Radiology (ACR-TIRADS) for the diagnosis of malignancy in surgically resected thyroid nodules. In this retrospective study, patients who underwent thyroid nodules resected surgically from 2018-2020 were included. Before resection, an ultrasound was performed for TIRADS scores, and after resection histopathology, thyroid mass was obtained. The outcomes of the two systems were statistically compared. The mean age of the 146 included patients was 47.6 ± 14.08 years, of which 109 (74.7%) were female. Based on TIRADS, 47 patients (32.2%) were in TI-RADS TR3, 36 patients (24.7%) were in TIRADS TR2, 34 (23.3%) in TIRADS 4, 24 (16.4%) in TIRADS TR5 and 5 patients (3.4%) were in TIRADS TR1. The overall sensitivity was 79.9% when ACR-TIRADS TR4 was set as a diagnostic cutoff value. Considering the total of TIRADS TR4 and TIRADS TR5 as predictors of thyroid malignancy, the sensitivity was 74.5% and the specificity was 76.8%. The positive and negative predictive value was 60.3% and 76.8%. ACR-TIRADS 4 and 5 can be considered good predictors of malignancy in thyroid nodules. More studies, including larger samples, are required to obtain a better conclusion.

Standardized Medical Terminology for Cardiac Computed Tomography 2023 Update: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), American Association of Physicists in Medicine (AAPM), American College of Radiology (ACR), North American Society for Cardiovascular Imaging (NASCI), and Radiological Society of North America (RSNA) with endorsement by the Asian Society of Cardiovascular Imaging (ASCI), the European Association

Since the emergence of cardiac computed tomography (Cardiac CT) at the turn of the 21st century, there has been an exponential growth in research and clinical development of the technique, with contributions from investigators and clinicians from varied backgrounds: physics and engineering, informatics, cardiology, and radiology. However, terminology for the field is not unified. As a consequence, there are multiple abbreviations for some terms, multiple terms for some concepts, and some concepts that lack clear definitions and/or usage. In an effort to aid the work of all those who seek to contribute to the literature, clinical practice, and investigation of the field, the Society of Cardiovascular Computed Tomography updates a standard set of medical terms commonly used in clinical and research activities related to cardiac CT. Keywords: Cardiac, CT, Medical Terminology Supplemental material is available for this article. This article is published synchronously in Radiology: Cardiothoracic Imaging and Journal of Cardiovascular Computed Tomography. ©2023 Society of Cardiovascular Computed Tomography. Published by RSNA with permission.

Impact of Noise Level on the Accuracy of Automated Measurement of CT Number Linearity on ACR CT and Computational Phantoms.

Methods for segmentation, i.e., Full-segmentation (FS) and Segmentation-rotation (SR), are proposed for maintaining Computed Tomography (CT) number linearity. However, their effectiveness has not yet been tested against noise. This study aimed to evaluate the influence of noise on the accuracy of CT number linearity of the FS and SR methods on American College of Radiology (ACR) CT and computational phantoms. This experimental study utilized two phantoms, ACR CT and computational phantoms. An ACR CT phantom was scanned by a 128-slice CT scanner with various tube currents from 80 to 200 mA to acquire various noises, with other constant parameters. The computational phantom was added by different Gaussian noises between 20 and 120 Hounsfield Units (HU). The CT number linearity was measured by the FS and SR methods, and the accuracy of CT number linearity was computed on two phantoms. The two methods successfully segmented both phantoms at low noise, i.e., less than 60 HU. However, segmentation and measurement of CT number linearity are not accurate on a computational phantom using the FS method for more than 60-HU noise. The SR method is still accurate up to 120 HU of noise. The SR method outperformed the FS method to measure the CT number linearity due to its endurance in extreme noise.

Establishing quality control action limits for CT number accuracy in spectral images using an American College of Radiology phantom.

Computed tomography (CT) number accuracy is important for quality assurance in CT imaging. However, in dual-energy CT imaging, there are no widely used action limits for CT number accuracy in spectral images, information that is urgently needed. To establish action limits for spectral CT images using longitudinal spectral data and an American College of Radiology (ACR) phantom. An ACR accreditation phantom was scanned routinely as part of a quality control program in our institution. We selected and analyzed 57 continuous weekly scans. The CT numbers or the density values of conventional and spectral images, including virtual monoenergetic images (40, 50, 70, 120, and 200keV), iodine maps, calcium suppressed, and virtual non-contrast images, were measured in the four inserts (solid water, bone, polyethylene, and acrylic) of the phantom. Longitudinal data were analyzed for correlation using Pearson's correlation coefficient (r) and standard deviation (SD). The SD ratios between spectral images and conventional images were calculated and the action limits for spectral images were established based on the action limits from the ACR. Strong to very strong correlations (r>0.70 or r<-0.70) were found among most spectral image types except the 200keV images using solid water, polyethylene, and acrylic inserts (r=[-0.45, 0.64]). The SD ratio was highest for the 40keV images, ranging from 2.8 to 6.5. The action limits of the bone insert were baseline±5.3mg/mL for the iodine map and ranged from baseline±23.0 HU to baseline±391.9 HU for the other image types. The action limits for solid water ranged from baseline±4.1 HU to baseline±25.3 HU. The results for the polyethylene and the acrylic insert were close to those for solid water. Baselines can be established using the average of the initial 5∼10 measurements. Using longitudinal data, we estimated the action limits for CT number accuracy in the spectral images. This paves the way for establishing a comprehensive quality control program for spectral CT imaging.

COVID-Necessitated Online Radiology Elective Improves Student Imaging Appropriateness in Clinical Case Vignettes

The use of imaging in medicine has increased considerably over the previous decades, contributing to significant inefficiency of use. Radiology education varies amongst institutions without standardized learning objectives. Consequently, many physicians and student doctors are unprepared to make appropriate choices regarding imaging. In response to COVID-19-engendered restrictions, we created a fully online, image-intensive radiology curriculum to introduce students to clinical radiology and appropriate imaging usage. A 2-week radiology elective curriculum was created that adopted accessible, free, online-based learning to foster student education and patient safety while upholding academic standards. Each unit included an emphasis on imaging appropriateness. Students assembled an elective portfolio including self-assessments and prepared a clinical radiology conference to present as a radiologist in training. Two final assessments were required. One consisted of clinical vignettes based on American College of Radiology (ACR) Appropriateness Criteria (AC). The second was an MRI safety quiz. Third and fourth year students at five institutions (N=97) completed the elective. Examination scores on an assessment adapted from the ACR AC were significantly improved compared to previously published scores of medical students who took ACR AC-based assessments without taking a radiology course. The course was published and shared with medical schools worldwide. The elective successfully educated students in radiology through a virtual platform and introduced them to the concept of appropriateness in medical imaging. These goals were accomplished using a free, online, easily accessible curriculum. Incorporation of additional topics within the discipline of radiology should be included in the curriculum in the future.

A Context-based Chatbot Surpasses Trained Radiologists and Generic ChatGPT in Following the ACR Appropriateness Guidelines.

Background Radiological imaging guidelines are crucial for accurate diagnosis and optimal patient care as they result in standardized decisions and thus reduce inappropriate imaging studies. Purpose In the present study, we investigated the potential to support clinical decision-making using an interactive chatbot designed to provide personalized imaging recommendations from American College of Radiology (ACR) appropriateness criteria documents using semantic similarity processing. Methods We utilized 209 ACR appropriateness criteria documents as specialized knowledge base and employed LlamaIndex, a framework that allows to connect large language models with external data, and the ChatGPT 3.5-Turbo to create an appropriateness criteria contexted chatbot (accGPT). Fifty clinical case files were used to compare the accGPT's performance against general radiologists at varying experience levels and to generic ChatGPT 3.5 and 4.0. Results All chatbots reached at least human performance level. For the 50 case files, the accGPT performed best in providing correct recommendations that were "usually appropriate" according to the ACR criteria and also did provide the highest proportion of consistently correct answers in comparison with generic chatbots and radiologists. Further, the chatbots provided substantial time and cost savings, with an average decision time of 5 minutes and a cost of 0.19 € for all cases, compared to 50 minutes and 29.99 € for radiologists (both p < 0.01). Conclusion ChatGPT-based algorithms have the potential to substantially improve the decision-making for clinical imaging studies in accordance with ACR guidelines. Specifically, a context-based algorithm performed superior to its generic counterpart, demonstrating the value of tailoring AI solutions to specific healthcare applications.

Comparison of the C-TIRADS, ACR-TIRADS, and ATA guidelines in malignancy risk stratification of thyroid nodules.

To compare the diagnostic performance in determining the malignancy of thyroid nodules and the fine needle aspiration (FNA) recommendations of the guidelines set forth by the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association in 2020 [2020 Chinese Thyroid Imaging Reporting and Data System (C-TIRADS)], the American College of Radiology in 2017 (2017 ACR-TIRADS) and the American Thyroid Association in 2015 (2015 ATA guidelines). From January 2021 to December 2021, 1,228 thyroid nodules with definitive postoperative histopathology and ultrasound (US) examination within 3 months before surgery in Shantou Central Hospital were enrolled in this study. We collected the data in 2022. The participants formed a consecutive series. The clinical and US features of the nodules were retrospectively reviewed and categorized according to the 2020 C-TIRADS, the 2017 ACR-TIRADS and the 2015 ATA guidelines. The diagnostic performance and unnecessary FNA rates of the three guidelines were calculated. The 2017 ACR-TIRADS had the highest diagnostic performance [area under the receiver operating characteristic curve (AUROC) 0.938], followed by the 2020 C-TIRADS (AUROC 0.933) and the 2015 ATA guidelines (AUROC 0.928). The ATA guidelines had the highest specificity (93.38%), accuracy (92.10%) and positive predictive value (PPV) (80.56%) among the three guidelines. There were no significant differences in the sensitivity and negative predictive value (NPV) among the three guidelines. The sensitivity, specificity, PPV, NPV and accuracy of the FNA recommendations based on the C-TIRADS were 84.25%, 58.76%, 38.92%, 92.28% and 64.82%, respectively, which were higher than those of the ACR-TIRADS (57.53%, 42.94%, 23.93%, 76.43% and 46.42%, respectively) and the ATA guidelines (62.67%, 13.25%, 18.39%, 53.22% and 25.00%, respectively). Compared with the ACR-TIRADS (76.07%) and the ATA guidelines (81.61%), the C-TIRADS showed advantages in the unnecessary FNA rate (61.08%), especially in nodules larger than 20 mm. The 2020 C-TIRADS, the 2017 ACR-TIRADS and the 2015 ATA guidelines can effectively predict the malignancy risk of thyroid nodules. Compared with the 2017 ACR-TIRADS and the 2015 ATA guidelines, the 2020 C-TIRADS may offer a meaningful reduction in FNA recommendations with the highest efficacy in distinguishing thyroid carcinoma.

Translating new breast ultrasound techniques into clinical practice: evaluating their intended uses and describing other unexpected uses for them.

Several new ultrasound tools have been developed to further evaluate breast lesions detected on B-mode ultrasound. Strain elastography (SRE) was developed to assess the likelihood of malignancy of lesions based on their stiffness. This has been incorporated into the latest edition of the American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) lexicon and atlas. However, no agreed cut-off stiffness values have been established to distinguish benign from malignant lesions making the translation into routine clinical practice difficult. Superb microvascular imaging (SMI) was developed to better evaluate the vascularity within sonographic lesions and assess their likelihood of malignancy. However, there is also no agreed cut-off value for vascular index (VI) to distinguish between benign and malignant lesions. MicroPure was developed to better visualize and evaluate calcifications seen on ultrasound. Its effective use in breast screening and evaluating the calcifications detected for likelihood of malignancy have not been established. This article describes the original intended uses of these applications and reviews the studies evaluating them, showing the varying success of the translation of these tools into routine clinical practice. Also described are some other uses of these tools for which they were not originally intended. This illustrates the importance of being perceptive to alternative uses of imaging tools in their translation from bench to bedside.

Value of Contrast-Enhanced Ultrasound Parameters in the Evaluation of Adnexal Masses with Ovarian-Adnexal Reporting and Data System Ultrasound.

The aim of this study was to determine whether incorporating qualitative parameters of contrast-enhanced ultrasound (CEUS) can increase the accuracy of adnexal lesion assessments with Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound category 4 or 5. Retrospective analysis of patients with adnexal masses who underwent conventional ultrasound (US) and contrast-enhanced ultrasound (CEUS) examinations between January and August of 2020. The study investigators reviewed and analyzed the morphological features of each mass before categorizing the US images independently according to the O-RADS system published by the American College of Radiology. In the CEUS analysis, the initial time and intensity of enhancement involving the wall and/or septation of the mass were compared with the uterine myometrium. Internal components of each mass were observed for signs of enhancement. The sensitivity, specificity, and Youden's index were calculated as the contrast variables and O-RADS. Receiver operating characteristic curve analysis revealed that the best cutoff value was higher than O-RADS 4. When information on the extent of enhancement was applied to selectively upgrade O-RADS category 4 and selectively downgrade O-RADS category 5, the overall sensitivity increased to 90.2%, while the level of specificity (91.3%) remained the same. Incorporating additional information from CEUS with respect to the extent of enhancement helped to improve the sensitivity of O-RADS category 4 and 5 masses without loss of specificity.

A methodology for incorporating a photon-counting CT system into routine clinical use.

Photon-counting computed tomography (PCCT) systems are increasingly available in the U.S. following Food and Drug Administration (FDA) approval of the first clinical PCCT system in Fall 2021. Consequently, there will be a need to incorporate PCCTs into existing fleets of traditional CT systems. The commissioning process of a PCCT was devised by evaluating the degree of agreement between the performance of the PCCT and that of established clinical CT systems. A PCCT system (Siemens NAEOTOM Alpha) was evaluated using the American College of Radiology(ACR) CT phantom (Gammex 464). The phantom was scanned on the system and on a 3rd Generation EID CT system (Siemens Force) at three clinical dose levels. Images were reconstructed across the range of available reconstruction kernels and Iterative Reconstruction (IR) strengths. Two image quality metrics-spatial resolution and noise texture-were calculated using AAPM TG233 software (imQuest), as well as a dose metric to achieve target image noise magnitude of 10HU. For each pair of EID-PCCT kernel/IR strengths, the difference in metrics were calculated, weighted, and multiplied over all metrics to determine the concordance between systems. IR performance was characterized by comparing relative noise texture and reference dose as a function of IR strength for each system. In general, as kernel "sharpness" increased for each system, spatial resolution, noise spatial frequency, and reference dose increased. For a given kernel, EID reconstruction showed higher spatial resolution compared to PCCT in standard resolution mode. PCCT implementation of IR better preserved noise texture across all strengths compared to the EID, demonstrated by respective 20 and 7% shifts in noise texture from IR "Off" to IR "Max." Overall, the closest match for a given EID reconstruction kernel/IR strength was identified as a PCCT kernel with "sharpness" increased by 1 step and IR strength increased by 1-2 steps. Substantial dose reduction potential of up to 70% was found when targeting a constant noise magnitude.

BI-RADS CLASSIFICATION FOR BREAST ULTRASOUND : A REVIEW

Breast cancer is the most common form of cancer in women worldwide. According to statistics from GLOBOCAN 2020, 1.2 million women are diagnosed with breast cancer each year, and 410,000 (35%) will die from this disease. Breast cancer is the most prevalent type of cancer among women in Indonesia, accounting for 30.8% of all female cancer cases in 2020 and causing 20.4% of female cancer-related deaths in the same year. Breast cancer screening plays a vital role in reducing deaths caused by breast cancer. Various breast cancer imaging techniques have been introduced for diagnosing breast cancer, such as Magnetic Resonance (MR) mammography, Ultrasound, Elastography, Mammography, and Automated Breast Ultrasound (ABUS). Ultrasound (US) and mammography are the two most important modalities for breast imaging. In younger women under the age of 35, ultrasound is the primary tool used to investigate breast problems. Even in the older age group, ultrasound plays a crucial role in breast imaging, particularly for the assessment of mass lesions. Breast ultrasound can be used for both screening and diagnostic purposes. Ultrasound evaluates breast tissue without the use of ionizing radiation or the injection of contrast material and is affordable, readily available, and well-tolerated by patients. The American College of Radiology (ACR) proposed the Breast Imaging Reporting and Data System (BI-RADS) to standardize the characterization of sonographic breast lesions according to five criteria categories: mass shape, orientation, margin, echo pattern, and posterior features.

Assessment of thyroid nodule malignancy risk in medical radiation workers using ACR TI-RADS

BackgroundLow-dose radiation exposure brings medical radiation professionals at risk for thyroid parenchymal disease and nodules. ObjectiveTo classify thyroid nodules in medical radiation workers according to their risk, and to look into parenchymal disease and thyroid dysfunction. Design, setting and participantsRetrospective observational study in a tertiary health facility with 148 healthcare workers working in radiation-containing areas. Main outcome and measuresParticipants were divided into groups based on their sociodemographic characteristics, the department they worked in, and the number of years they had been in the profession. The levels of TSH, parenchymal heterogeneity, and thyroid nodule presence were compared between the groups. American College of Radiology (ACR) Thyroid Imaging – Reporting and Data System (TI-RADS) classification was used to evaluate thyroid nodules. ResultsThe presence of nodules was significantly more prevalent in patients over the age of 33 (p = 0.02). The majority of individuals (98%) had nodules that below the American College of Radiology (ACR) Thyroid Imaging – Reporting and Data System (TI-RADS) category 4. Age and professional experience both elevated TSH results (p = 0.015, p = 0.033). With age, parenchymal heterogeneity became more prominent (p = 0.04). For the parameters, there were no appreciable differences between the occupation and department. The results applied to both genders equally. ConclusionWith increasing long-term low-dose exposure, medical radiation workers are at risk for nodules and parenchymal disease. However, the majority of the nodules in our study were sonographically in the low risk group, therefore routine follow-up is advised.

Standardized Follow-Up Recommendations Improve Reporting of Incidental Renal Lesions in a Community Setting.

Introduction The objective of this quality improvement study was to assess radiology report follow-up recommendation trends upon detection of incidental renal lesions before and after instituting standardized follow-up macros. Materials and methods A retrospective review was performed in 2019 of multiphase imaging workups on renal lesions (n = 396), including the following imaging modalities: ultrasound, CT with and without contrast, and spine MRI. Utilizing the same collection methods, a similar retrospective set of cases was collected in 2021, 12 months following the creation of the renal follow-up macros (n = 501). After exclusions, the second set was left with 98 cases of newly characterized incidental renal lesions.For both sets, we assessed the reports of the exams that initially detected the incidental renal lesion. We evaluated the incident reports for the presence of a follow-up recommendation, recommendation completeness, and alignment with the American College of Radiology (ACR) white paper suggestions for renal lesion follow-up. Results Before the implementation of the standardized renal follow-up macros, initial follow-up recommendations were in concordance with the ACR white paper recommendations in 33 of 98 cases (33.7%), incomplete or discordant in 49 of 98 (50.0%), and absent in 16 of 98 cases (16.3%). Following the institution of our macros, there was an improvement in concordant follow-up recommendations (51/98; 52.0%) (p = 0.009), a decrease in the number of incomplete or discordant recommendations (37/98; 37.8%), and a decrease in the number of reports lacking a follow-up recommendation (10/98; 10.2%). Conclusion Utilization of standard language renal lesion follow-up macros improves the rate of appropriate follow-up recommendations in radiology reports when encountering a previously unknown incidental renal lesion.

Establishing a quality assurance program for photon counting detector (PCD) CT: Tips and caveats.

To determine the suitability of a quality assurance (QA) program based on the American College of Radiology's (ACR) CT quality control (QC) manual to fully evaluate the unique capabilities of a clinical photon-counting-detector (PCD) CT system. A daily QA program was established to evaluate CT number accuracy and artifacts for both standard and ultra-high-resolution (UHR) scan modes. A complete system performance evaluation was conducted in accordance with the ACR CT QC manual by scanning the CT Accreditation Phantom with routine clinical protocols and reconstructing low-energy-threshold (T3D) and virtual monoenergetic images (VMIs) between 40 and 120keV. Spatial resolution was evaluated by computing the modulation transfer function (MTF) for the UHR mode, and multi-energy performance was evaluated by scanning a body phantom containing four iodine inserts with concentrations between 2 and 15mg I/cc. The daily QA program identified instances when the detector needed recalibration or replacement. CT number accuracy was impacted by image type: CT numbers at 70keV VMI were within the acceptable range (defined for 120kV). Other keV VMIs and the T3D reconstruction had at least one insert with CT number outside the acceptable range. The limiting resolution was nearly 40 lp/cm based on MTF measurements, which far exceeds the 12 lp/cm maximum capability of the ACR phantom. The CT numbers in the iodine inserts were accurate on all VMIs (3.8% average percentage error), while the iodine concentrations had an average root mean squared error of 0.3mg I/cc. Protocols and parameters must be properly selected on PCD-CT to meet current accreditation requirements with the ACR CT phantom. Use of the 70keV VMI allowed passing all tests prescribed in the ACR CT manual. Additional evaluations such an MTF measurement and multi-energy phantom scans are also recommended to comprehensively evaluate PCD-CT scanner performance.

Diagnostic performance of the EU TI-RADS and ACR TI-RADS scoring systems in predicting thyroid malignancy.

Several ultrasound scoring systems have been developed to stratify the risk of malignancy of thyroid nodules, including ACR (American College of Radiology) and EU (European) TI-RADS. This study aimed to assess the diagnostic performance of these two classifications using histology as a reference standard. It was a single-centre, retrospective study including 156 patients who underwent thyroidectomy. Ultrasound data of 198 nodules (99 malignant nodules and 99 benign nodules) were analysed. Both classifications were applied for all nodules. Ultrasound criteria associated with malignancy were solid composition (OR=7.81; p < 10-3 ), hypoechoic character (OR=16.42; p < 10-3 ), irregular contours (OR=7.47; p < 10-3 ), taller-than-wide shape (OR=3.58; p = 0.02), microcalcifications (OR=3.02; p = .006) and the presence of cervical adenopathy (OR=3.89; p = .006). The prevalence of malignancy was 15.5%, 69% and 76.9% for EU TI-RADS categories 3, 4 and 5, respectively. It was 33.3%, 57% and 91.1% for ACR TI-RADS categories 3, 4 and 5, respectively. For category 5, EU TI-RADS and ACR TI-RADS had sensitivities of 60% and 41%, specificities of 82% and 96%, respectively. For categories 4 and 5 combined, the diagnostic performance of these two classification systems became comparable with a sensitivity of 89% and 86% for EU-TIRADS and ACR-TIRADS, respectively. The area under the ROC curve was 0.81 for the EU TI-RADS classification and 0.82 for the ACR TI-RADS classification. EU TI-RADS and ACR TI-RADS scoring systems seem to be comparable in predicting malignancy in thyroid nodules.

Analysis of Thyroid Imaging Reporting and Data System Criteria and Its Correlation With the Pathological Results.

Introduction Thyroid nodules are frequently encounteredand may be discovered roughly in around 4-8% of individuals by clinical palpation. Aim The present study aims to analyze the Thyroid Imaging Reporting and Data Systems (TIRADS) classification and assess the validity of each criterion in predicting malignancy. Methods A prospective observational study was conducted at Sri Ramachandra Institute of Higher Education and Research from June 2020 to October 2021. Fifty patients who presented to the outpatient clinic with thyroid swelling got an ultrasound (USG) neck performed followed by either fine-needle aspiration cytology (FNAC) or thyroidectomy. They were included in the study and informed consent was obtained from all patients. Results Among50 patients considered for the study, 36 were females. The mean age for malignant patients is 46 years with a standard deviation (SD) of 15, and for benign lesions is 47 years with an SD of 1. Most of the patients were TIRADS 4, which has a 56.2% risk of malignancy. The pathological results show a significant difference in ACR (American College of Radiology) TIRADS and echogenic foci between FNAC. The present study's solid composition showed a sensitivity of 25% and specificity of 75%, with an odds ratio of 0.90 in picking up malignant nodules. The shape of a nodule taller than wider, a malignant feature, showed a specificity of 92.3%. Punctate echogenic foci showed a sensitivity of 50% and specificity of 76.9% with a statistical significance of p-value 0.048. Conclusion TIRADS scoring avoids unessential invasive techniques for lower TIRADS scores. Certain criteria are more specific in recognizing malignant nodules. Proportional priority shall be given to certain criteria over others, and not all criteria should be considered.

The Size of a Thyroid Nodule with ACR TI-RADS Does Not Provide a Better Prediction of the Nature of the Nodule: A Single-Center Retrospective Real-Life Observational Study.

We investigated if thyroid nodule size has a predictive value of malignancy on a par with composition, echogenicity, shape, margin, and echogenic foci, and what would be the consequence of observing the rule of the American College of Radiology (ACR) to perform a fine-needle aspiration biopsy (FNAB). We conducted a retrospective real-life observational study on 86 patients who underwent surgery after a standardized diagnostic protocol. We divided the TR3, TR4, and TR5 classes into sub-classes according to the size threshold indicating FNAB (a: up to the threshold for no FNAB; b: over the threshold for FNAB suggested). We computed sensitivity, specificity, and positive (PPV) and negative predictive value (NPV) for the different sub-classes and Youden's index (Y) for the different possible cutoffs. Each sub-class showed the following PPV (0.67, 0.68, 0.70, 0.78, 0.72), NPV (0.56, 0.54, 0.51, 0.52, 0.59), and Y (0.20, 0.20, 0.22, 0.31, 0.30). In this real-life series, we did not find a significant difference in prediction of malignancy between the sub-categories according to the size threshold. All nodules have a pre-evaluation likelihood of being malignant, and the impact and utility of size thresholds may be less clear than suggested by the ACR TIRADS guidelines in patients undergoing standardized thyroid work up.