Citations

Abstract Abdominal compartment syndrome (ACS) is defined as elevated intra-abdominal pressure resulting in dysfunction of at least one thoracoabdominal organ. Diagnosing ACS is particularly challenging in critically ill patients. This study aimed to identify specific CT imaging findings predictive of ACS by comparing cohorts with a clinical diagnosis of ACS and critically ill patients without this diagnosis. A retrospective case–control study identified patients with a clinical diagnosis of ACS. A matched control cohort consisted of critically ill patients without a diagnosis of ACS. Three radiologists, blinded to the patients' diagnosis and clinical course, reviewed CT scans for 19 different signs. Univariate analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed. Thirty-one patients with ACS and 36 without ACS were enrolled. On univariate analysis, abdominal anteroposterior-to-transverse dimension ratio (AR; p = 0.0002), peritoneal to abdominal height ratio (PAR) (p = 0.007), contour changes of solid organs (CCSO) (p = 0.005), and retroperitoneal collections (p = 0.02) were significant. On logistic regression analysis, only PAR was significant (p = 0.01). The presence of at least one of PAR >0.52 or AR >0.75 had sensitivity of 81% and specificity of 81% for predicting ACS. The presence of both of these signs had a specificity of 100% for ACS. Radiologists should consider ACS in critically ill patients when CT shows increased AR or PAR. CCSO and large retroperitoneal collections are secondary signs. Recognition of these imaging findings may aid in the timely and accurate diagnosis of ACS in clinical practice.

An understanding of regions of endemicity and the spectrum of organ system involvement can improve recognition of the imaging features of coccidioidomycosis, which can overlap with those of other diseases.

History A 25-year-old female patient presented to the emergency department with worsening abdominal discomfort over the past 2–3 months. The patient had not experienced fever, chills, or dysuria. Past medical history was notable for two completed pregnancies; otherwise, there was no pertinent medical history or family history. At physical examination, the patient was uncomfortable but not in acute distress. There was tenderness to palpation in the right upper quadrant and epigastric region, but no rebound tenderness or guarding. Vital signs were blood pressure of 141/85 mm Hg, pulse rate of 91/min, and temperature of 37.2 °C. The serum β–human chorionic gonadotropin test result was negative for pregnancy, and urinalysis showed no leukocyte esterase or nitrites. Routine blood investigations, including white blood cell count, were within normal limits. Initial evaluation with contrast-enhanced CT of the abdomen and pelvis was performed, followed by MRI of the abdomen without and with intravenous contrast material.

This review examines the applications and challenges of large language models (LLMs), like OpenAI’s ChatGPT, in radiology research. ChatGPT can assist radiology researchers in generating new ideas, finding and summarizing research papers, designing studies, analyzing data, and facilitating manuscript writing. LLMs are powerful tools with numerous applications in radiology research. However, users should be mindful of potential pitfalls, such as producing incorrect or biased outputs and inconsistent responses, along with ethical and privacy concerns. We discuss approaches to optimize models and address these issues, including prompting techniques like chain-of-thought prompting, retrieval-augmented generation, and fine-tuning. For researchers, prompt engineering can be particularly effective. This review seeks to demonstrate how researchers can utilize ChatGPT for radiology research while offering strategies to mitigate associated risks. We aim to help researchers harness these potent tools to safely boost their productivity.

Frequently overlooked yet clinically significant, the urachus can exhibit a diverse range of pathologic conditions, which can pose a diagnostic challenge at imaging for the radiologist and which require a thorough understanding of urachal embryogenesis.

Understanding the imaging appearance of autoimmune disorders of the liver and biliary tract is important to guide further workup, suggest a particular diagnosis, monitor for disease progression or response to treatment, and evaluate for complications.

History A 25-year-old female patient presented to the emergency department with worsening abdominal discomfort over the past 2–3 months. The patient had not experienced fever, chills, or dysuria. Past medical history was notable for two completed pregnancies; otherwise, there was no pertinent medical history or family history. At physical examination, the patient was uncomfortable but not in acute distress. There was tenderness to palpation in the right upper quadrant and epigastric region, but no rebound tenderness or guarding. Vital signs were blood pressure of 141/85 mm Hg, pulse rate of 91/min, and temperature of 37.2 °C. The serum β–human chorionic gonadotropin test result was negative for pregnancy, and urinalysis showed no leukocyte esterase or nitrites. Routine blood investigations, including white blood cell count, were within normal limits. Initial evaluation with contrast-enhanced CT of the abdomen and pelvis was performed ( Fig 1 ), followed by MRI of the abdomen without and with intravenous contrast material ( Fig 2 ).

History A 30-year-old female patient with a history of infertility and no pregnancy presented to the gynecologic endometriosis clinic for follow-up 1 month after oocyte retrieval, to be evaluated for pelvic optimization before potential embryo transfer, with worsening dysmenorrhea, dyspareunia, and overall pelvic pain. Eleven years prior, the patient had undergone left ovarian cystectomy for treatment of endometrioma, as well as excision of deep infiltrating endometriosis. The oocyte retrieval procedure, where more than 30 eggs were retrieved, was complicated by ovarian hyperstimulation syndrome and intraperitoneal bleeding, which necessitated admission to the intensive care unit (ICU) for 3 days. Following discharge from the ICU, the patient experienced occasional on-and-off pressure of the urinary bladder and persistent aching pelvic pain. At the 1-month follow-up appointment, the patient’s vital signs were assessed (blood pressure, 142/94 mm Hg; pulse rate, 95 per minute; temperature, 96.8 °F [36 °C]). Routine blood investigations, including white blood cell count, were within normal limits. Physical examination showed the abdomen was soft but there was mild pelvic tenderness. The serum β–human chorionic gonadotropin test result was negative for pregnancy, and urinalysis testing showed no leukocyte esterase or nitrites. MRI of the pelvis was performed to evaluate the worsening pain.

History A 30-year-old female patient with a history of infertility and no pregnancy presented to the gynecologic endometriosis clinic for follow-up 1 month after oocyte retrieval, to be evaluated for pelvic optimization before potential embryo transfer, with worsening dysmenorrhea, dyspareunia, and overall pelvic pain. Eleven years prior, the patient had undergone left ovarian cystectomy for treatment of endometrioma, as well as excision of deep infiltrative endometriosis. The oocyte retrieval procedure, where more than 30 eggs were retrieved, was complicated by ovarian hyperstimulation syndrome and intraperitoneal bleeding, which necessitated admission to the intensive care unit (ICU) for 3 days. Following discharge from the ICU, the patient experienced occasional on-and-off pressure of the urinary bladder and persistent aching pelvic pain. At the 1-month follow-up appointment, the patient’s vital signs were assessed (blood pressure, 142/94 mm Hg; pulse rate, 95 per minute; temperature, 96.8 °F [36 °C]). Routine blood investigations, including white blood cell count, were within normal limits. Physical examination showed the abdomen was soft but there was mild pelvic tenderness. The serum β–human chorionic gonadotropin test result was negative for pregnancy, and urinalysis testing showed no leukocyte esterase or nitrites. MRI of the pelvis ( Figs 1 – 3 ) was performed to evaluate the worsening pain.

Abstract Background and Aims Perianal fistuliing Crohn’s disease [PFCD] is an aggressive phenotype of Crohn’s disease defined by frequent relapses and disabling symptoms. A novel consensus classification system was recently outlined by the TOpCLASS consortium, which seeks to unify disease severity with patient-centred goals but has not yet been validated. We aimed to apply this to a real-world cohort and to identify factors that predict transition between classes over time. Methods We identified all patients with PFCD and at least one baseline and one follow-up pelvic MRI [pMRI]. TOpCLASS classification, disease characteristics, and imaging indices were collected retrospectively at time periods corresponding with respective MRIs. Results We identified 100 patients with PFCD, of whom 96 were assigned TOpCLASS Classes 1–2c at baseline. Most patients [78.1%] started in Class 2b, but changes in classification were observed in 52.1% of all patients. Male sex [72.0%, 46.6%, 40.0%, p = 0.03] and prior perianal surgery [52.0% vs 44.6% vs 40.0%, p = 0.02] were more frequently observed in those with improved class compared to unchanged and worsened class. Baseline pMRI indices were not associated with changes in classification; however, greater improvements in mVAI, MODIFI-CD, and PEMPAC were seen among those who improved. Linear mixed effect modelling identified only male sex [-0.31, 95% CI -0.60 to -0.02] with improvement in class. Conclusion The TOpCLASS classification highlights the dynamic nature of PFCD over time. However, our ability to predict transitions between classes remains limited and requires prospective assessment. Improvement in MRI index scores over time was associated with a transition to lower TOpCLASS classification.