Current Problems in Diagnostic Radiology最新文献

Background

Structured reporting (SR) replaced narrative (free text) reporting and utilizes templated headings and subheadings with findings typically based on the anatomy included in the examination. Its use has been widely advocated by radiology and non-radiology organizations as the new reporting standard. There are, however, shortcomings to SR, such as templated text not addressing a specific clinical indication. Contextual reporting (CR) fills this gap. CR is a type of SR which is tailored to a narrow clinical indication by including pertinent positive and negative findings for that specific clinical entity.

Objective

This study assesses provider preferences for CR as compared to SR in the pediatric practice environment using a survey methodology.

Methods & materials

Surveys with examples of SR and CR reports were sent electronically to two groups. One group was focused on neurological diseases and included pediatric specialists in neurosurgery, neurology, ENT, ED, and ophthalmology (190 people), referred to as the pediatric neuroimaging group. The pediatric neuroimaging group survey contained examples of CR and SR reports of an orbital CT for orbital cellulitis and a head CT for stroke. The other group was focused on gastrointestinal diseases, and included pediatric specialists in gastroenterology, general surgery, and the ED (159 people), referred to as the pediatric gastrointestinal (GI) imaging group. The pediatric GI imaging group survey contained example reports of an abdominal CT for appendicitis and an MRI enterography for Crohn's disease. Surveys utilizing a 5-point Likert scale were analyzed via Fischer's exact test with a p-value deemed statistically significant at less than 0.05.

Results

349 individuals were contacted to participate in the survey. There were 81 (23 %, 81/349) survey respondents; 41 (22 %, 41/190) from the neuro group, and 40 (25 %, 40/159) from the GI group. 56 % (45/81) of all respondents preferred CR reports over traditional SR reports, while 29 % (23/81) did not. Most respondents (59 %, 48/81) indicated that CR reports are easier to interpret than traditional SR reports. Respondents from the pediatric neuroimaging group favored CR reports to a lesser degree (44 %, 36/81) compared to respondents from the pediatric GI imaging group (68 %, 55/81).

Conclusions

We learned from this survey that it would be beneficial to be very intentional about selecting clinical indications where CR would be most valued rather than trying to develop CR for any specific clinical indication. The study results indicate it is reasonable to continue further efforts at exploring the utility of contextualized reports.

Since its reinstatement in 1997, the effectiveness of the clinical year prior to radiology residency has been a contentious topic concerning its role in cultivating skilled radiologists. This review evaluates the limitations of the one-year internship and explores alternative approaches. Utilizing databases such as PubMed, Google Scholar, and Scopus, this study identified pertinent articles that aligned with the inclusion criteria for post-graduate year 1 (PGY-1) training before radiology residency. Through a qualitative analysis of the literature, the review identifies prevalent themes concerning the drawbacks of the preliminary clinical year and potential alternative strategies.

Many current trainees express skepticism about the value of the clinical year, noting a disconnect between its generalist nature and the specialized demands of subsequent radiology training. Interns felt uncertain about radiology exam indications and found radiology departments to be unapproachable, reflecting the need for alternative educational strategies to improve the preparedness and confidence of radiology interns as they transition from academic environments to clinical practice.

The preparatory clinical year prior to entering radiology residency presents a mix of utility, along with alternative approaches to structuring this year. These alternatives include incorporating it into the undergraduate medical curriculum, restructuring or designing radiology-focused clinical years, and reevaluating the overall effectiveness of the clinical year in training.

Rationale and objectives

Although PBL is widely used in several countries, especially in medicine courses, its application in teaching other higher education courses, which involve fundamentals applied to radiology, is still little explored. Therefore, we aim to evaluate the implementation of Problem-Based Learning (PBL) in a higher education institution's radiology and biomedicine technologist course, focusing on specific radiology-related disciplines.

Materials and methods

An interventional study was developed with 78 students. An active methodology model was created and implemented for one of the groups of participants. At the beginning of each semester, students of both groups were evaluated with pre-tests. At the end of the semesters, the students performed a post-test and a validated evaluation of the discipline methodology. Repeated measures generalized linear regressive models with robust error estimators were used to evaluate test outcomes.

Results

A significant interaction among the methodologies was found (p=0.020), with better results from students exposed to the active methodology (initial and final grades were 7.18 and 7.57 in the active methodology, respectively, and 7.45 and 6.89 in the traditional methodology, respectively). In addition, students' evaluation regarding the quality of the methodology was favorable to the active methodology with statistical significance (p<0.05) in 16 of the 22 items evaluated.

Conclusions

The students' positive response and performance were attributed to the interaction and innovation of the methodology compared to conventional methods, highlighting the effectiveness of PBL in higher education in radiology and its potential for more participatory and contextualized learning.

Rational and objective

Diversity, equity, inclusion, and representation in various sectors have garnered increasing attention in the past two decades, including healthcare. In this report we investigate representation of females and underrepresented minorities (URM) in the field of radiology and asses for significant growth trends in representation in residency training programs in the United States.

Materials and methods

De-identified trainee demographic information for active radiology trainees from 2016 to 2021 was queried using the Accreditation Council for Graduate Medical Education (ACGME), and new radiology trainees using the National Resident Matching Program (NRMP)’s Main Residency Match Data and Reports databooks.

Results

In 2021 females represented 26.7% of DR residency trainees and 22% of IR integrated trainees. In the same year URM trainees represented 11.3% of trainees and 8.7% of IR integrated trainees. From 2017 to 2021, diagnostic radiology had a compound average growth rate (CAGR) 1% (p <0.01) of female representation and 1.12% (p<0.01) of URM representation.

Conclusion

This study quantifies female and underrepresented minority representation among radiology trainees for diagnostic radiology and radiology subspecialities, identifying modest uptrends in representation within both demographics.

Medical students are often regarded purely as learners, but many can also perform well as educators. When more senior students are on service with underclassmen, especially when attendings and residents are busy, they can play an important role in helping to advance a radiology department's teaching mission.

Medical imaging is essential for the proper diagnosis and treatment of many diseases. The literature has found that medical imaging generally accounts for a significant percentage of total healthcare spending. We analyzed a national database between 2013 and 2021, with more than 19 million patients on average, to review which health conditions account for the highest spending on medical imaging in the Colombian health system. We segmented the analysis by type of medical imaging, life cycles, health condition and sex. Our findings indicate that cardiac and mental illnesses account for the highest per capita spending on medical imaging, especially for the elderly. As a proportion of total expenditure, hypertension and tuberculosis are added, with special emphasis on the infancy-childhood life cycle.

Seminal vesicles play a crucial role in the male reproductive system, as they are responsible for secreting a fluid that forms most of the ejaculate. Seminal vesicles' pathology can present with non-specific symptoms, making imaging diagnosis essential for proper patient management. Various imaging modalities can be used to evaluate these glands, with MRI beneficial in illustrating the spectrum of seminal vesicle disease. Typical seminal vesicles appear as elongated fluid-containing structures, but congenital anomalies, inflammatory conditions, and neoplastic disorders can alter their appearance. Furthermore, differentiating mimics from actual pathology can be challenging but crucial for proper management.

This article aims to provide an overview of the typical imaging appearance of the seminal vesicles and illustrate the principal imaging characteristics of conditions involving these structures. It will review the imaging characteristics of common and uncommon lesions involving the seminal vesicles by exploring congenital, infectious, and neoplastic in detail. As the seminal vesicles are often evaluated incidentally during prostate imaging, radiologists should be aware of the variability of normal findings and recognize the principal pathologies affecting these structures to ensure proper patient management.

Purpose

We developed machine learning (ML) models to assess demographic and socioeconomic status (SES) variables’ value in predicting continued participation in a low-dose CT lung cancer screening (LCS) program.

Materials and Methods

480 LCS subjects were retrospectively examined for the following outcomes: (#1) no follow-up (single LCS scan) vs. multiple follow-ups (220 and 260 subjects respectively) and (#2) absent or delayed (>1 month past the due date) follow-up vs timely follow-up (356 and 124 subjects respectively). We quantified the contributions of 14 socioeconomic, demographic, and clinical predictors to LCS adherence, and validated and compared prediction performances of multivariate logistic regression (MLR), support vector machine (SVM) and shallow neural network (NN) models.

Results

For outcome #1, age, sex, race, insurance status, personal cancer history, and median household income were found to be associated with returning for follow-ups. For outcome #2, age, sex, race, and insurance status were significant predictor of absent/delayed LCS follow-up. Across 5-fold cross-validation, the MLR model achieved an average AUC of 0.732 (95% CI, 0.661-0.803) for outcome #1 and 0.633 (95% CI, 0.602-0.664) for outcome #2 and is the model with best predictive performance overall, whereas NN and SVM tended to overfit training data and fell short on testing data performance for either outcome.

Conclusions

We identified significant predictors of LCS adherence, and our ML models can predict which subjects are at higher risk of receiving no or delayed LCS follow-ups. Our results could inform data-driven interventions to engage vulnerable populations and extend the benefits of LCS.

Objective

This study aimed to assess the feasibility of GPT-4 for answering questions related to contrast media with and without the context of the European Society of Urogenital Radiology (ESUR) guideline on contrast agents. The overarching goal was to determine whether contextual enrichment by providing guideline information improves answers of GPT-4 for clinical decision-making in radiology.

Methods

A set of 64 questions, based on the ESUR guideline on contrast agents mirroring pertinent sections, was developed and posed to GPT-4 both directly and after providing the guideline using a plugin. Responses were graded by experienced radiologists for quality of information and accuracy in pinpointing information from the guideline as well as by radiology residents for utility, using Likert-scales.

Results

GPT-4′s performance improved significantly with the guideline. Without the guideline, average quality rating was 3.98, which increased to 4.33 with the guideline (p = 0036). In terms of accuracy, 82.3% of answers matched the information from the guideline. Utility scores also reflected a significant improvement with the guideline, with average scores of 4.1 (without) and 4.4 (with) (p = 0.008) with a Fleiss´ Kappa of 0.44.

Conclusion

GPT-4, when contextually enriched with a guideline, demonstrates enhanced capability in providing guideline-backed recommendations. This approach holds promise for real-time clinical decision-support, making guidelines more actionable. However, further refinements are necessary to maximize the potential of large language models (LLMs). Inherent limitations need to be addressed.

Objective

To assess the hepatic disease-free survival (HDFS) and overall survival (OS) of patients who underwent resection of colorectal cancer liver metastases (CRCLM) in our population, and evaluate what factors are associated with these outcomes.

Methods

Patients with resected non-mucinous CRCLM between January 2013-February 2020 were retrospectively identified. Dates of diagnosis, surgery, and, if applicable, death were recorded. HDFS and OS were calculated using a census date of 24 September 2022. Separate Cox multivariate regression analyses were performed to evaluate for association between HDFS and OS and the following factors: pre-operative imaging interval (<4 weeks vs. ≥4 weeks); pre-operative imaging modality (CT only vs. MRI+CT); extrahepatic disease at time of hepatectomy (yes vs. no); tumor burden score (TBS, where TBS² = (largest axial dimension of CRCLM)² + (number of CRCLM)²); pT and pN; and neoadjuvant chemotherapy.

Results

137 subjects (mean age, 61 ± 11 years, 86 males) were included. Associations with recurrent hepatic disease were found with chemotherapy (HR 2.11[95 % CI = 1.13–3.92]), TBS (HR 1.30[95 % CI = 1.17–1.45]), MRI+CT (HR 2.12[95 % CI = 1.29–3.48]), and extrahepatic disease at hepatectomy (HR 2.16[95 % CI = 1.08–4.35]). For mortality, associations were found with TBS (HR 1.22[95 % CI = 1.09–1.37]), pT (HR 1.45[95 % CI = 1.05–2.00]), and extrahepatic disease at hepatectomy (HR 2.10[95 % CI = 1.31–3.36]).

Conclusion

In our population, non-imaging related factors TBS, neoadjuvant chemotherapy, pT and presence of extrahepatic disease at time of hepatectomy were associated with HDFS and/or OS. The preoperative imaging interval and use of preoperative MRI were not associated with improved patient outcomes.