Abstract BACKGROUND Brain Metastases are the most common cancers in central nervous system and carry poor prognosis in cancer patients with their rapidly growing nature. Early identification of these tumors is crucial in improving patient survival. This investigation aims to study the rate of human error in missing early brain metastases and factors associated with the threshold of sensitivity of human eyes at the professional level. METHODS The database from a single institution was used which included patients with new brain metastasis diagnosed based on brain magnetic resonance imaging (MRI) who also had previous MRI scan(s) 1-6 months before diagnosis and no exposure to whole brain radiotherapy. The brain MRI used for diagnosis of brain metastasis and the MRI performed 1-6 months prior were reviewed. Based on the location of the newly diagnosed tumor, the corresponding location in the previous MRI was assessed for a missed incidence of a preexisting tumor. The sizes of the missed tumors were then measured to assess the threshold of human eyes in detecting metastases. RESULTS The percentage of missed metastases was 44% (56/126). The mean size of missed metastases was 3.0 millimeters (range 1.2 mm to 7.7 mm). No clinical factors were significantly associated with higher rate of missed diagnosis. The most likely reason for the missed diagnosis is the tiny size although visual distraction seems to play a role including adjacent contrast-enhancing structures such as blood vessels. CONCLUSIONS The results show a high rate of human error for missing small metastases even with high level of expertise indicating the limits of human capacity to reliably detect brain metastases at 1-2 mm in size. These results justify the development of artificial intelligence-based recognition to assist neuroradiologists in diagnosis. Our data support current standard practice of surveillance brain MRI every 3-6 months for patients with history of brain metastasis. __________________________________________________________________ Articles from Neuro-Oncology Advances are provided here courtesy of Oxford University Press (BUTTON) Close ACTIONS * [27]View on publisher site * [28]PDF (114.5 KB) * (BUTTON) Cite * (BUTTON) Collections * (BUTTON) Permalink PERMALINK https://pmc.ncbi.nlm (BUTTON) Copy RESOURCES (BUTTON) Similar articles (BUTTON) Cited by other articles (BUTTON) Links to NCBI Databases Cite (BUTTON) * (BUTTON) Copy * [29]Download .nbib .nbib * Format: [NLM] Add to Collections ( ) Create a new collection (*) Add to an existing collection Name your collection * ____________________ Choose a collection Unable to load your collection due to an error [30]Please try again (BUTTON) Add (BUTTON) Cancel Follow NCBI [31]NCBI on X (formerly known as Twitter) [32]NCBI on Facebook [33]NCBI on LinkedIn [34]NCBI on GitHub [35]NCBI RSS feed Connect with NLM [36]NLM on X (formerly known as Twitter) [37]NLM on Facebook [38]NLM on YouTube [39]National Library of Medicine 8600 Rockville Pike Bethesda, MD 20894 * [40]Web Policies * [41]FOIA * [42]HHS Vulnerability Disclosure * [43]Help * [44]Accessibility * [45]Careers * [46]NLM * [47]NIH * [48]HHS * [49]USA.gov (BUTTON) Back to Top References