Root Cause Analysis of Patients with Pancreatic Cancer Who Underwent Imaging Not Resulting in a Cancer Diagnosis in the 18 Months Prior to Diagnosis
Year: 2025
Type: article
Study design: Observational Study
Abstract: Purpose: Root cause analysis carried out to establish the likely causes for pancreatic cancer not being diagnosed on previous imaging. Methods: Records of pancreatic cancer patients between 2016 and 2021 at two NHS providers were examined. Post-Imaging Pancreatic Cancer (PIPC) was defined as pancreatic cancer diagnosed 3–18 months after an index scan that did not report cancer. Index and diagnostic imaging were reviewed by two radiologists independently. An algorithm was developed to categorise PIPC. Results: 46 of 600 patients (7.7%) were classified as having PIPC, with 43 CT and 3 MRI scans undertaken 3–18 months before cancer diagnosis. The median age was 75.9 (IQR 69.6–80.2) years, with 58.7% female. PIPCs were categorised as focal lesion reported on index scan in the same pancreatic segment as diagnostic scan (2.2%); imaging changes associated with pancreatic cancer reported on index scan (17.4%); missed focal lesion or imaging changes associated with pancreatic cancer on index scan (26.1%); no focal lesion or imaging changes associated with pancreatic cancer on index scan (54.3%). Following exclusion of two patients (one declined investigations and one was too unwell), 16 of 46 (35%) PIPC patients could have been diagnosed earlier. Twelve had a missed focal lesion, and four had duct dilatation or a focal lesion reported but were inadequately investigated. Conclusions: Approximately three out of 100 pancreatic cancer patients could have been diagnosed earlier due to a missed lesion or inadequately investigated lesion or duct dilatation on index imaging. There are opportunities for earlier diagnosis of pancreatic cancer on imaging.
Source: Cancers
Authors: Shahd A. Mohamed, Nosheen Umar, Melisa Sia, Justin Smyth, Sumedha Udumalagala, Mujeeb Ullahj Makki, Keith Roberts, Brinder Mahon, Raneem Albazaz, Nigel Trudgill
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,499
OpenAlex ID: W4416723909
