Difficulty in the diagnosis of pancreatic cancer based on the initial CT report: A retrospective study.
Kento ShionoyaKazuya KoizumiSakue MasudaMakomo MakazuJun KubotaRyuhei JinushiKaren KimuraPublished in: Medicine (2024)
The role of computed tomography (CT) in the initial diagnosis of pancreatic cancer (PC) is well-known. CT reports made by radiologists are important as not all patients with PC are examined by specialists; however, some cases are not identified based on CT reports. Diagnosis via imaging of PC is sometimes difficult, and the diagnostic rate of PC and other pancreatic diseases can vary across radiologists. This study aimed to examine the diagnostic rate of PC in initial CT reports and the details of cases with diagnostic difficulties. This single-centered, retrospective study collected clinical data of 198 patients with histologically diagnosed PC between January 2018 and April 2022. Out of these contrast-enhanced CT was performed in 192 cases. PC was not reported as the main diagnosis in 18 patients (9.4%; 11 men and 7 women). Among these 18 cases, intrapancreatic mass lesions were detected in 3 (1.6%), indirect findings such as bile/pancreatic duct stenosis or dilation were detected in 5 (2.6%), and no PC-related findings were found in 10 (5.2%). The specialists suspected PC in 15 of these 18 cases based on initial CT reports. 17 cases were confirmed by endoscopic ultrasound-fine needle aspiration and one by biopsy after upper gastrointestinal endoscopy. To improve accuracy of its diagnosis, it is important that specialists provide feedback to diagnostic radiologists regarding the findings they did not report. Endoscopic ultrasound-fine needle aspiration should be performed by specialists when there is clinical information which indicates pancreatic disease of any kind.
Keyphrases
- contrast enhanced
- computed tomography
- dual energy
- ultrasound guided
- magnetic resonance imaging
- image quality
- fine needle aspiration
- diffusion weighted
- positron emission tomography
- magnetic resonance
- diffusion weighted imaging
- artificial intelligence
- high resolution
- prognostic factors
- ejection fraction
- newly diagnosed
- chronic kidney disease
- end stage renal disease
- emergency department
- big data
- machine learning
- photodynamic therapy
- electronic health record
- peritoneal dialysis
- drug induced