Artificial intelligence (AI) is seen as a major disrupting force in the future healthcare system. However, the assessment of the value of AI technologies is still unclear. Therefore, a multidisciplinary group of experts and patients developed a Model for ASsessing the value of AI (MAS-AI) in medical imaging. Medical imaging is chosen due to the maturity of AI in this area, ensuring a robust evidence-based model.

MAS-AI was developed in three phases. First, a literature review of existing guides, evaluations, and assessments of the value of AI in the field of medical imaging. Next, we interviewed leading researchers in AI in Denmark. The third phase consisted of two workshops where decision makers, patient organizations, and researchers discussed crucial topics for evaluating AI. The multidisciplinary team revised the model between workshops according to comments.

The MAS-AI guideline consists of two steps covering nine domains and five process factors supporting the assessment. Step 1 contains a description of patients, how the AI model was developed, and initial ethical and legal considerations. In step 2, a multidisciplinary assessment of outcomes of the AI application is done for the five remaining domains: safety, clinical aspects, economics, organizational aspects, and patient aspects.

We have developed an health technology assessment-based framework to support the introduction of AI technologies into healthcare in medical imaging. It is essential to ensure informed and valid decisions regarding the adoption of AI with a structured process and tool. MAS-AI can help support decision making and provide greater transparency for all parties.

Desmoid tumours (aggressive fibromatosis) are rare, locally invasive, benign tumours. The following case represented a diagnostic challenge, because of the uncommon nature of the lesion.

A 26-year-old woman, who had previously undergone middle-ear surgery for cholesteatoma, presented with a painful swelling involving the post-auricular area and the conchal bowl. Initially, it was believed to be an infective process related to the surgery or an unusual cholesteatoma recurrence. Following investigations, which involved imaging and histology, the swelling was diagnosed as a desmoid tumour, and the patient received chemotherapy.

Two incidences of paediatric desmoid tumours affecting the ear have been described in the literature, but there is no previous report of a desmoid tumour related to ear surgery. Desmoid tumours have, however, been reported following trauma, including surgery.

Head and neck paragangliomas are rare. They are usually slow-growing, benign, non-catecholamine secreting tumours, traditionally treated with surgical excision. Complications of surgical excision include lower cranial nerve palsies, stroke and death.

A retrospective case note analysis was conducted of patients with head and neck paragangliomas treated with a watch-and-scan policy from March 2003 to September 2015, and the relevant literature was reviewed.

Fifteen head and neck paragangliomas were identified. None of the patients developed a new lower cranial nerve palsy or progression of their presenting hearing loss during the follow-up period. Five patients displayed an increase in maximum linear dimension of 4 mm over an average of 57.4 months. A review of the literature showed that a watch-and-surveillance scan policy is evolving as a treatment option for head and neck paragangliomas without malignant risk factors.

Readily available surveillance scanning in head and neck paragangliomas enables the monitoring of head and neck paragangliomas, which may allow for avoidance of major surgery.

To systematically evaluate the accuracy of text descriptions and labeling of radiologic images published in the Canadian Journal of Emergency Medicine (CJEM). Error detection by radiologists and emergency physicians and the clinical significance and educational value of these errors were assessed. Errors were also correlated with radiologist involvement in publication and imaging modality.

Thirty-three issues of CJEM were examined from January 2003 to May 2008. Electronic copies of all radiologic images published were obtained with their caption and description from the text. Identifying information was removed to present images in an anonymous fashion. Images were presented to two radiologists who, working in consensus, critically appraised each image and accompanying text. Images were then presented to two emergency department physicians who, working in consensus, critically appraised each image and accompanying text. All images with errors detected by either radiology or emergency physicians were then discussed to determine if errors would have affected clinical management or educational value. The emergency physicians also identified “underlabeled” images where it was felt that further labeling would enhance their educational value.

Forty-five articles with 82 images were obtained. At least one error was observed in 18 (40%) articles and 20 (24%) images. Two errors were present in three images, resulting in 23 errors. Of the 23 errors, 17 were image description errors and 6 were labeling errors. Five errors were detected by both radiology and emergency physicians, whereas 15 were detected only by radiologists and 3 were detected only by emergency physicians. Of these errors, 12 (52%) were rated as potentially affecting both clinical management and educational value, 5 (22%) as only affecting educational value, and 6 (26%) as nonsignificant. Radiologists were involved in six articles, including 12 images that contained no errors. There was no official radiologist involvement in 39 articles, including 70 images, 18 (26%) of which contained errors. In addition, 26 images were identified by emergency physicians as potentially benefiting from enhanced labeling to improve educational value.

Radiologic images published in the CJEM are generally of high quality; however, 23 errors were found in 82 images, 18 (78%) of which were rated as potentially affecting clinical management, educational value, or both. Radiologist involvement in the publication process may be of assistance as no errors were seen in articles that included radiologists as authors.

We report a novel, computed tomography guided treatment for autophony associated with a patulous eustachian tube.

Case report and literature review of the management of patulous eustachian tube.

A 36-year-old woman presented with disabling autophony. Otoscopic examination revealed a poorly mobile right tympanic membrane. High resolution temporal bone computed tomography excluded superior semicircular canal dehiscence. The patient was diagnosed with patulous eustachian tube but failed to achieve therapeutic benefit from conventional endoscopic placement of a silicone elastomer suspension implant adjacent to the eustachian tube. Subsequently, she underwent further silicone elastomer suspension implant placement via a trans-cutaneous, computed tomography guided approach. The patient achieved prompt symptomatic relief and remained symptom-free at six-month follow up.

This is the first published description of treatment of patulous eustachian tube using a computed tomography guided, trans-cutaneous approach. It serves to highlight to otolaryngologists the fact that computed tomography guided treatment of patulous eustachian tube may control disabling symptoms in patients who have failed to respond to convention endoscopic management.