Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications.

BACKGROUND: 18F-FDG PET/CT imaging represents the most important functional imaging method in oncology. European Society of Medical Oncology and the National Comprehensive Cancer Network guidelines defined a crucial role of 18F-FDG PET/CT imaging for local/locally advanced breast cancer. The application of artificial intelligence on PET images might potentially contributes in the field of precision medicine. OBJECTIVE: This review aims to summarize the clinical indications and limitations of PET imaging for comprehensive artificial intelligence in relation to breast cancer subtype, hormone receptor status, proliferation rate, and lymphonodal (LN)/distant metastatic spread, based on recent literature. METHODS: A literature search of the Pubmed/Scopus/Google Scholar/Cochrane/EMBASE databases was carried out, searching for articles on the use of artificial intelligence and PET in breast tumors. The search was updated from January 2010 to October 2021 and was limited to original articles published in English and about humans. A combination of the search terms "artificial intelligence", "breast cancer", "breast tumor", "PET", "Positron emission tomography", "PET/CT", "PET/MRI", "radiomic"," texture analysis", "machine learning", "deep learning" was used. RESULTS: Twenty-three articles were selected following the PRISMA criteria from 139 records obtained from the Pubmed/Scopus/Google Scholar/Cochrane/EMBASE databases according to our research strategy. The QUADAS of 30 full-text articles assessed reported seven articles that were excluded for not being relevant to population and outcomes and/or for lower level of evidence. The majority of papers were at low risk of bias and applicability. The articles were divided per topic, such as the value of PET in the staging and re-staging of breast cancer patients, including new radiopharmaceuticals and simultaneous PET/MRI. CONCLUSION: Despite the current role of AI in this field remains still undefined, several applications for PET/CT imaging are under development, with some preliminary interesting results particularly focused on the staging phase that might be clinically translated after further validation studies.

Is 99mTc-HMPAO granulocyte scan an alternative to endoscopy in pediatric chronic inflammatory bowel disease (IBD)?

Although endoscopy with biopsy is the gold standard for the diagnosis of inflammatory bowel disease (IBD), this procedure is invasive and its repetition is stressful, especially in children. The purpose of this study was to evaluate prospectively the role of (99m)Tc-HMPAO-labeled granulocyte scintigraphy in the diagnosis and follow-up of pediatric IBD and its possible use as an alternative to colonoscopy to determine the disease extent and severity beyond its ability to differentiate ulcerative colitis from Crohn's disease. During a 10-year period, 52 children, aging between 2 and 17 years (median, 11.09 years), were subjected to (99m)Tc-HMPAO granulocyte scan 7-28 days from conventional diagnostic tests, and the results were compared with endoscopic and bioptic results. Disease severity was graded by the focal uptake intensity versus iliac bone uptake (Scan Activity Index) and compared with Endoscopy Mayo Score. In 15 out of 16 patients, IBD diagnosis was obtained with a full correspondence of location and severity of lesions, respectively, in 14 out of 16 and 13 out of 16, while in 31 out of 36 patients, IBD was correctly excluded (sensitivity of 93.7%, specificity of 86.1%, and negative predictive value of 96.4%). During the follow-up, all relapses (24) and remissions (13) were correctly recognized (sensibility and specificity of 100%). In conclusion, (99m)Tc-HMPAO granulocyte scan is an accurate minimally invasive technique with very good accuracy, able to diagnose and to grade the intensity and extent of the disease; it is also a useful tool in the follow-up of pediatric IBD where it could reliably replace the invasive endoscopic assessment in most cases.