State-of-the-Art Review: Diagnosis and Management of Spinal Implant Infections.

Spinal implant infections are a serious complications of instrumented spinal fusion surgeries, carrying high morbidity and complex management challenges. Early postoperative infections may manifest with wound-healing issues, back pain, and fevers. Magnetic resonance imaging (MRI) is the preferred imaging modality, but can be limited by metal artifacts.

Safety assessment of microwave ablation in sheep vertebral bodies.

Background: Spine is the most common location for bone metastases. Microwave ablation (MWA) is a technique for minimally invasive tumor treatment. The aim of the current study was to determine whether MWA is a safe option for treatment in vertebral bodies and to gain data on the amount of cortical insulation in the spine.

Increased individual workload for nuclear medicine physicians over the past years: 2008-2023 data from The Netherlands.

Objecive: To investigate temporal trends in the individual workload of nuclear medicine physicians at a large tertiary care academic center between 2008 and 2023.

Methods: This study analyzed the reporting workload of nuclear medicine physicians in a large tertiary care academic center in The Netherlands on 36 unique (randomly sampled) calendar days, for each year between 2008 and 2023. The average daily departmental workload (measured with relative value units) was calculated for each year between 2008 and 2023.

Reading Times of Common Musculoskeletal MRI Examinations: A Survey Study.

Background: The workload of musculoskeletal radiologists has come under pressure. Our objective was to estimate the reading times of common musculoskeletal MRI examinations.

Methods: A total of 144 radiologists were asked to estimate reading times (including interpretation and reporting) for MRI of the shoulder, elbow, wrist, hip, knee, and ankle.

Retrospective Radiology Research: Do We Need Informed Patient Consent?

While knowledge of the population's view on the need for informed consent for retrospective radiology research may provide valuable insight into how an optimal balance can be achieved between patient rights versus an expedited advancement of radiology science, this is a topic that has been ignored in the literature so far. To investigate the view of the general population, survey data were collected from 2407 people representative of the Dutch population. The results indicate that for non-commercial institutions, especially hospitals (97.

What makes a good scientific presentation on artificial intelligence in medical imaging?

Purpose: Adequate communication of scientific findings is crucial to enhance knowledge transfer. This study aimed to determine the key features of a good scientific oral presentation on artificial intelligence (AI) in medical imaging.

Methods: A total of 26 oral presentations dealing with original research on AI studies in medical imaging at the 2023 RSNA annual meeting were included and systematically assessed by three observers.

Imaging overuse in the emergency department: The view of radiologists and emergency physicians.

Purpose: To identify the perceived factors contributing to imaging overuse in the emergency department, according to radiologists and emergency physicians.

Method: A survey study on imaging overuse in the emergency department was conducted among 66 radiologists and 425 emergency physicians. Five-point Likert scales (not a problem at all/strongly disagree [score 1] to very serious problem/strongly agree [score 5]) were used to score the various aspects of overimaging.

Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metrics.

Objective: Deep learning (DL) MRI reconstruction enables fast scan acquisition with good visual quality, but the diagnostic impact is often not assessed because of large reader study requirements. This study used existing diagnostic DL to assess the diagnostic quality of reconstructed images.

Materials And Methods: A retrospective multisite study of 1535 patients assessed biparametric prostate MRI between 2016 and 2020.

Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences.

Purpose: To explore diagnostic deep learning for optimizing the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences.

Method: This retrospective study included 840 patients with a biparametric prostate MRI scan. The MRI protocol included a T2-weighted image, three DWI sequences (b50, b400, and b800 s/mm), a calculated ADC map, and a calculated b1400 sequence.

What is the added value of specialist radiology review of multidisciplinary team meeting cases in a tertiary care center?

Purpose: Multidisciplinary team meetings (MDTMs) are an important component of the workload of radiologists. This study investigated how often subspecialized radiologists change patient management in MDTMs at a tertiary care institution.

Materials And Methods: Over 2 years, six subspecialty radiologists documented their contributions to MDTMs at a tertiary care center.

Assessing Authorship Rates over Time in Original Radiologic Research Publications.

Background Previous studies have shown an increase in the number of authors on radiologic articles between 1950 and 2013, but the cause is unclear. Purpose To determine whether authorship rate in radiologic and general medical literature has continued to increase and to assess study variables associated with increased author numbers. Materials and Methods PubMed/Medline was searched for articles published between January 1998 and October 2022 in general radiology and general medical journals with the top five highest current impact factors.

Does FDG-PET/CT for incidentally found pulmonary lesions lead to a cascade of more incidental findings?

Objective: To determine the frequency, nature, and downstream healthcare costs of new incidental findings that are found on whole-body FDG-PET/CT in patients with a non-FDG-avid pulmonary lesion ≥10 mm that was incidentally found on previous imaging.

Materials And Methods: This retrospective study included a consecutive series of patients who underwent whole-body FDG-PET/CT because of an incidentally found pulmonary lesion ≥10 mm.

Results: Seventy patients were included, of whom 23 (32.

Publication pressure in medical imaging.

Purpose: To investigate the degree of perceived publication pressure in medical imaging.

Method: Corresponding authors who published an article in one of the top 12 general radiology journals were invited to complete a survey about publication pressure. The revised Publication Pressure Questionnaire (PPQr) was used.

Reading room assistants to reduce workload and interruptions of radiology residents during on-call hours: Initial evaluation.

Purpose: To determine how much timesaving and reduction of interruptions reading room assistants can provide by taking over non-image interpretation tasks (NITs) from radiology residents during on-call hours.

Methods: Reading room assistants are medical students who were trained to take over NITs from radiology residents (e.g.

Promotional language in radiology publications: increasing use of "excellent", "favorable", "promising", "robust", and "unique".

Purpose: To investigate if radiology researchers are increasingly promoting their scientific findings by more frequently using positive words in their publications.

Materials And Methods: This study included all articles that were published in 14 general radiology journals between 2003 and 2022. The title and abstract of each article were assessed for the presence of positive, negative, neutral, and random words, according to predefined sets of words for each category.

Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT.

Objectives: Detecting ablation site recurrence (ASR) after thermal ablation remains a challenge for radiologists due to the similarity between tumor recurrence and post-ablative changes. Radiomic analysis and machine learning methods may show additional value in addressing this challenge. The present study primarily sought to determine the efficacy of radiomic analysis in detecting ASR on follow-up computed tomography (CT) scans.

A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist.

Objectives: To present a framework to develop and implement a fast-track artificial intelligence (AI) curriculum into an existing radiology residency program, with the potential to prepare a new generation of AI conscious radiologists.

Methods: The AI-curriculum framework comprises five sequential steps: (1) forming a team of AI experts, (2) assessing the residents' knowledge level and needs, (3) defining learning objectives, (4) matching these objectives with effective teaching strategies, and finally (5) implementing and evaluating the pilot. Following these steps, a multidisciplinary team of AI engineers, radiologists, and radiology residents designed a 3-day program, including didactic lectures, hands-on laboratory sessions, and group discussions with experts to enhance AI understanding.

Integrity of Clinical Neuroradiological Research.

Purpose: It is unclear if undesired practices such as scientific fraud, publication bias, and honorary authorship are present in neuroradiology. Therefore, the objective was to explore the integrity of clinical neuroradiological research using a survey method.

Methods: Corresponding authors who published in one of four top clinical neuroradiology journals were invited to complete a survey about integrity in clinical neuroradiology research.