Israel Medical Association Journal

Background: Advancements in artificial intelligence (AI) and natural language processing (NLP) have led to the development of language models such as ChatGPT. These models have the potential to transform healthcare and medical research. However, understanding their applications and limitations is essential.

Objectives: To present a view of ChatGPT research and to critically assess ChatGPT's role in medical writing and clinical environments.

Methods: We performed a literature review via the PubMed search engine from 20 November 2022, to 23 April 2023. The search terms included ChatGPT, OpenAI, and large language models. We included studies that focused on ChatGPT, explored its use or implications in medicine, and were original research articles. The selected studies were analyzed considering study design, NLP tasks, main findings, and limitations.

Results: Our study included 27 articles that examined ChatGPT's performance in various tasks and medical fields. These studies covered knowledge assessment, writing, and analysis tasks. While ChatGPT was found to be useful in tasks such as generating research ideas, aiding clinical reasoning, and streamlining workflows, limitations were also identified. These limitations included inaccuracies, inconsistencies, fictitious information, and limited knowledge, highlighting the need for further improvements.

Conclusions: The review underscores ChatGPT's potential in various medical applications. Yet, it also points to limitations that require careful human oversight and responsible use to improve patient care, education, and decision-making.

Large language models have revolutionized natural language processing. The emergence phenomenon is observed in these models and has the potential to revolutionize data processing and management. In this review, we discuss the concept of emergence in artificial intelligence, give detailed examples, and elaborate on the risks and limitations of large language models. The review exposes physicians to large language models, their advantages, and the inherent opportunities. We also describe the limitations and dangers, as these models are expected to impact medicine soon.

In this study, we analyzed computed tomography (CT) radiological findings from trauma treated at a single hospital in the aftermath of the terror attack in Israel on 7 October 2023. The study includes images from 34 consecutive patients, consisting of 33 males and 1 female, ranging in age from 19 to 68 years. The majority of these patients underwent both chest-abdominal-pelvic (76%) and head and neck CT scans (64.7%). Key findings highlight a high incidence of head and neck injuries (55.9%), chest trauma (44.1%), and various injuries such as soft tissue lacerations (100%), fractures particularly skull fractures at 32.4%, and brain hemorrhages (23.5%). The limitations of this study include its single-center scope and the focus on stable patients, which may bias the representation of injury types. This case series provides critical insights into the radiological impacts of large-scale terror events, emphasizing the importance of comprehensive preparedness and research in the field of mass-casualty incident response.

Background: Computed tomography (CT) is the main diagnostic modality for detecting pancreatic adenocarcinoma.

Objectives: To assess the frequency of missed pancreatic adenocarcinoma on CT scans according to different CT protocols.

Methods: The medical records of consecutive pancreatic adenocarcinoma patients were retrospectively collected (12/2011–12/2015). Patients with abdominal CT scans performed up to a year prior to cancer diagnosis were included. Two radiologists registered the presence of radiological signs of missed cancers. The frequency of missed cancers was compared between portal and pancreatic/triphasic CT protocols.

Results: Overall, 180 CT scans of pancreatic adenocarcinoma patients performed prior to cancer diagnosis were retrieved; 126/180 (70.0%) were conducted using pancreatic/triphasic protocols and 54/180 (30.0%) used portal protocols. The overall frequency of missed cancers was 6/180 (3.3%) in our study population. The frequency of missed cancers was higher with the portal CT protocols compared to the pancreatic/triphasic protocols: 5/54 (9.3%) vs. 1/126 (0.8%), P = 0.01. CT signs of missed cancers included small hypodense lesions, peri-pancreatic fat stranding, and dilated pancreatic duct with a cut-off sign.

Conclusions: The frequency of missed pancreatic adenocarcinoma is higher on portal CT protocols. Physicians should consider the cancer miss rate on different CT protocols.

Background: Jejunal disease is associated with worse prognosis in Crohn's disease. The added value of diffusion weighted imaging for evaluating jejunal inflammation related to Crohn's Disease is scarce.

Objectives: To compare diffusion weighted imaging, video capsule endoscopy, and inflammatory biomarkers in the assessment of Crohn's disease involving the jejunum.

Methods: Crohn's disease patients in clinical remission were prospectively recruited and underwent magnetic resonance (MR)-enterography and video capsule endoscopy. C-reactive protein and fecal-calprotectin levels were obtained. MR-enterography images were evaluated for restricted diffusion, and apparent diffusion coefficient values were measured. The video capsule endoscopy-based Lewis score was calculated. Associations between diffusion weighted imaging, apparent diffusion coefficient, Lewis score, and inflammatory biomarkers were evaluated.

Results: The study included 51 patients, and 27/51 (52.9%) with video capsule endoscopies showed jejunal mucosal inflammation. Sensitivity and specificity of restricted diffusion for video capsule endoscopy mucosal inflammation were 59.3% and 37.5% for the first reader, and 66.7% and 37.5% for the second reader, respectively. Diffusion weighted imaging was not statistically associated with jejunal video capsule endoscopy inflammation (P = 0.813).

Conclusions: Diffusion weighted imaging was not an effective test for evaluation of jejunal inflammation as seen by video capsule endoscopy in patients with quiescent Crohn's disease.

Background: Perivascular cuffing as the sole imaging manifestation of pancreatic ductal adenocarcinoma (PDAC) is an under-recognized entity.

Objectives: To present this rare finding and differentiate it from retroperitoneal fibrosis and vasculitis.

Methods: Patients with abdominal vasculature cuffing were retrospectively collected (January 2011 to September 2017). We evaluated vessels involved, wall thickness, length of involvement and extra-vascular manifestations.

Results: Fourteen patients with perivascular cuffing were retrieved: three with celiac and superior mesenteric artery (SMA) perivascular cuffing as the only manifestation of surgically proven PDAC, seven with abdominal vasculitis, and four with retroperitoneal fibrosis. PDAC patients exhibited perivascular cuffing of either or both celiac and SMA (3/3). Vasculitis patients showed aortitis with or without iliac or SMA cuffing (3/7) or cuffing of either or both celiac and SMA (4/7). Retroperitoneal fibrosis involved the aorta (4/4), common iliac (4/4), and renal arteries (2/4). Hydronephrosis was present in 3/4 of retroperitoneal fibrosis patients. PDAC and vasculitis demonstrated reduced wall thickness in comparison to retroperitoneal fibrosis (PDAC: 1.0 ± 0.2 cm, vasculitis: 1.2 ± 0.5 cm, retroperitoneal fibrosis: 2.4 ± 0.4 cm; P = 0.002). There was no significant difference in length of vascular involvement (PDAC: 6.3 ± 2.1 cm, vasculitis: 7.1 ± 2.6 cm, retroperitoneal fibrosis: 8.7 ± 0.5 cm).

Conclusions: Celiac and SMA perivascular cuffing can be the sole finding in PDAC and may be indistinguishable from vasculitis. This entity may differ from retroperitoneal fibrosis as it spares the aorta, iliac, and renal arteries and demonstrates thinner walls and no hydronephrosis.

Gallbladder metastasis is an extremely rare entity [1]. It is mainly secondary to melanoma but has also been reported as originating from breast cancer, renal cell carcinoma, and gastric cancer. Its diagnosis is often late in the advanced stage of the disease with the involvement of other organ systems [2].

We present a case of a patient who developed gastric cancer gallbladder metastasis. These findings are usually incidental on pathology of cholecystectomy specimens [1]. In our case, the metastatic lesion was demonstrated on magnetic resonance imaging (MRI) prior to surgery. Of note, the lesion had a similar enhancement pattern to the primary tumor.

Background: Acute mesenteric ischemia (AMI) is a medical condition with high levels of morbidity and mortality. However, most patients suspected of AMI will eventually have a different diagnosis. Nevertheless, these patients have a high risk for co-morbidities.

Objectives: To analyze patients with suspected AMI with an alternative final diagnosis, and to evaluate a machine learning algorithm for prognosis prediction in this population.

Methods: In a retrospective search, we retrieved patient charts of those who underwent computed tomography angiography (CTA) for suspected AMI between January 2012 and December 2015. Non-AMI patients were defined as patients with negative CTA and a final clinical diagnosis other than AMI. Correlation of past medical history, laboratory values, and mortality rates were evaluated. We evaluated gradient boosting (XGBoost) model for mortality prediction.

Results: The non-AMI group comprised 325 patients. The two most common groups of diseases included gastrointestinal (33%) and biliary-pancreatic diseases (27%). Mortality rate was 24.6% for the entire cohort. Medical history of chronic kidney disease (CKD) had higher risk for mortality (odds ratio 2.2). Laboratory studies revealed that lactate dehydrogenase (LDH) had the highest diagnostic ability for predicting mortality in the entire cohort (AUC 0.70). The gradient boosting model showed an area under the curve of 0.82 for predicting mortality.

Conclusions: Patients with suspected AMI with an alternative final diagnosis showed a 25% mortality rate. A past medical history of CKD and elevated LDH were associated with increased mortality. Non-linear machine learning algorithms can augment single variable inputs for predicting mortality.

Background: The coronavirus disease-2019 (COVID-19) outbreak had an effect on healthcare.

Objectives: To evaluate the presentation and management of patients with acute appendicitis.

Methods: A retrospective study was conducted of all patients presenting with acute appendicitis to the emergency department of a large tertiary center during March and April 2020. Clinical features, diagnostic workup, and management were compared.

Results: Seventy-four patients presented with acute appendicitis during the pandemic compared to 60 patients during the same time the year before. There were no significant differences in patient demographics: age (P = 0.65), gender (P = 0.73), smoking status (P = 0.48). During COVID-19 patients were more likely to complain of right lower quadrant pain (100% vs. 78.3%, P < 0.01). Rates of surgical treatment was similar (83.8% vs. 81.7%, P = 1); mean operative time was longer during COVID-19 (63 ± 23 vs. 52 ± 26 minutes, P = 0.03). There were no significant differences in intra-operative findings including the presence of appendiceal perforation (16.3% vs. 14.5%, P = 0.8), abscess (6.1% vs. 9.7%, P = 0.73), or involvement of cecum or terminal ileum (14.28% vs. 19.63%, P = 1). Postoperative treatment with antibiotics was more prevalent during COVID-19 (37.1% vs. 18%, P = 0.04). Length of stay (1.82 ± 2.04 vs. 2.74 ± 4.68, P = 0.2) and readmission rates (6% vs. 11.3%, P =0.51) were similar.

Conclusion: The COVID-19 pandemic did not significantly affect the presentation, clinical course, management, and outcomes of patients presenting with acute appendicitis.

Background: The novel coronavirus disease (COVID-19) pandemic changed medical environments worldwide.

Objectives: To evaluate the impact of the COVID-19 pandemic on trauma-related visits to the emergency department (ED).

Methods: A single tertiary center retrospective study was conducted that compared ED attendance of patients with injury-related morbidity between March 2020 (COVID-19 outbreak) and pre-COVID-19 periods: February 2020 and the same 2 months in 2018 and 2019.

Results: Overall, 6513 patients were included in the study. During the COVID-19 outbreak, the daily number of patients visiting the ED for acute trauma declined by 40% compared to the average in previous months (P < 0.01). A strong negative correlation was found between the number of trauma-related ED visits and the log number of confirmed cases of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in Israel (Pearson's r = -0.63, P < 0.01). In the COVID-19 period there was a significant change in the proportion of elderly patients (7% increase, P = 0.002), admissions ratio (12% increase, P < 0.001), and patients brought by emergency medical services (10% increase, P < 0.001). The number of motor vehicle accident related injury declined by 45% (P < 0.01).

Conclusions: A significant reduction in the number of trauma patients presenting to the ED occurred during the COVID-19 pandemic, yet trauma-related admissions were on the rise

Background: Silicone breast augmentation is a common cosmetic surgery. Previous case reports demonstrated lymphadenopathy in the presence of implant ruptures.

Objectives: To investigate the association between enlarged axillary lymph nodes and silicone implant ruptures as seen on breast magnetic resonance imaging (MRI).

Methods: Two groups were derived retrospectively from breast MRI reports in our institution for the period December 2011–May 2014. A search of our hospital records for "silicone" and "lymph node" was performed (group A), and the relationship between the presence of enlarged nodes and ruptures was evaluated. The prevalence of ruptures in the presence of nodes was calculated and the association between MRI imaging features and ruptures evaluated. A search for "silicone" and "implant rupture" was performed (group B) and, as for group A, the relationship between the presence of ruptures and nodes was evaluated and the prevalence of enlarged nodes in the presence of ruptures calculated.

Results: Group A comprised 45 women with enlarged nodes. Intracapsular ruptures were associated with nodes (P = 0.005), while extracapsular ruptures showed a trend of association with nodes (P = 0.08). The prevalence of ruptures in the presence of nodes was 31.4%. Nodes associated with ruptures showed a strong silicone signal (P = 0.008) and absent enhancement (P = 0.005). Group B comprised 73 women with ruptures. Enlarged nodes were associated with both intra- and extracapsular ruptures (P < 0.001 and P = 0.002 respectively). The prevalence of nodes in the presence of ruptures was 22.2%.

Conclusions: Enlarged axillary nodes were associated with ruptures in two groups of patients. This finding can guide clinical decisions when either enlarged nodes or ruptures are encountered in patients with silicone implants. The association between silicone lymphadenopathy and implant rupture raises concerns regarding the role of rupture in silicone-induced systemic disease.

 

Background: Pregnant women with acute abdominal pain pose a diagnostic challenge. Delay in diagnosis may result in significant risk to the fetus. The preferred diagnostic modality is magnetic resonance imaging (MRI), since ultrasonography is often inconclusive, and computed tomography (CT) would expose the fetus to ionizing radiation

Objectives: To describe the process in setting up an around-the-clock MRI service for diagnosing appendicitis in pregnant women and to evaluate the contribution of abdominal MR in the diagnosis of acute appendicitis.

Methods: We conducted a retrospective study of consecutive pregnant women presenting with acute abdominal pain over a 6 year period who underwent MRI studies. A workflow that involved a multidisciplinary team was developed. A modified MRI protocol adapted to pregnancy was formulated. Data regarding patients' characteristics, imaging reports and outcome were collected retrospectively. 

Results: 49 pregnant women with suspected appendicitis were enrolled. Physical examination was followed by ultrasound: when positive, the patients were referred for MR scan or surgery treatment; when the ultrasound was inconclusive, MR scan was performed. In 88% of women appendicitis was ruled out and surgery was prevented. MRI diagnosed all cases with acute appendicitis and one case was inconclusive. The overall statistical performance of the study shows a negative predictive value of 100% (95%CI 91.9–100%) and positive predictive value of 83.3% (95%CI 35.9–99.6%).

Conclusions: Creation of an around-the-clock imaging service using abdominal MRI with the establishment of a workflow chart using a dedicated MR protocol is feasible. It provides a safe way to rule out appendicitis and to avoid futile surgery in pregnant women.