Molecular Imaging and Radionuclide Therapy最新文献

Objectives: Among the most important diagnostic indicators of colorectal cancer; however, measuring molecular alterations are invasive and expensive. This study aimed to investigate the application of image processing to predict molecular alterations in colorectal cancer.

Methods: In this scoping review, we searched for relevant literature by searching the Web of Science, Scopus, and PubMed databases. The method of selecting the articles and reporting the findings was according to the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses; moreover, the Strengthening the Reporting of Observational Studies in Epidemiology checklist was used to assess the quality of the studies.

Results: Sixty seven out of 2,223 articles, 67 were relevant to the aim of the study, and finally 41 studies with sufficient quality were reviewed. The prediction of Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS), Neuroblastoma RAS Viral (NRAS), B-Raf proto-oncogene, serine/threonine kinase (BRAF), Tumor Protein 53 (TP53), Adenomatous Polyposis Coli, and microsatellite instability (MSI) with the help of image analysis has received more attention than other molecular characteristics. The studies used computed tomography (CT), magnetic resonance imaging (MRI), and ¹⁸F-FDG positron emission tomography (PET)/CT with radionics and quantitative analysis to predict molecular alterations in colorectal cancer, analyzing features like texture, maximum standard uptake value, and MTV using various statistical methods. In 39 studies, there was a significant relationship between the features extracted from these images and molecular alterations. Different modalities were used to measure the area under the receiver operating characteristic curve for predicting the alterations in KRAS, MSI, BRAF, and TP53, with an average of 78, 81, 80 and 71%, respectively.

Conclusion: This scoping review underscores the potential of radiogenomics in predicting molecular alterations in colorectal cancer through non-invasive imaging modalities, like CT, MRI, and ¹⁸F-FDG PET/CT. The analysis of 41 studies showed the appropriate prediction of key alterations, such as KRAS, NRAS, BRAF, TP53, and MSI, highlighting the promise of radionics and texture features in enhancing predictive accuracy.

Omphalocele is a congenital abdominal wall defect with herniation of abdominal viscera into a sac. Tc-99m DMSA renal cortical scan is a functional imaging technique used for detecting parenchymal defects, mostly in patients with recurrent urinary tract infection as well as congenital renal abnormalities. Renal anomalies are known to accompany omphalocele. In this retrospective study, we present a case of cephalad renal ectopia as observed on Tc-99m DMSA scintigraphy in a patient with omphalocele due to a large hernia sac containing most of the liver; and we review the renal abnormalities associated with omphalocele in the literature.

Objectives: This study aimed to investigate the ability of radiomics features extracted from magnetic resonance imaging (MRI) images to differentiate between responders and non-responders for hepatocellular carcinoma (HCC) cases who received Y-90 transarterial radioembolization treatment.

Methods: Thirty-six cases of HCC who underwent MRI scans after Y-90 radioembolization were included in this study. Tumors were segmented from MRI T2 images, and then 87 radiomic features were extracted through the LIFEx package software. Treatment response was determined 9 months after treatment through the modified response evaluation criteria in solid tumours (mRECIST).

Results: According to mRECIST, 28 cases were responders and 8 cases were non-responders. Two radiomics features, "Grey Level Size Zone Matrix (GLSZM)-Small Zone Emphasis" and "GLSZM-Normalized Zone Size Non-Uniformity", were the radiomics features that could predict treatment response with the area under curve (AUC)= 0.71, sensitivity= 0.93, and specificity= 0.62 for both features. Whereas the other 4 features (kurtosis, intensity histogram root mean square, neighbourhood gray-tone difference matrix strength, and GLSZM normalized grey level non-uniformity) have a relatively lower but acceptable discrimination ability range from AUC= 0.6 to 0.66.

Conclusion: MRI radiomics analysis could be used to assess the treatment response for HCC cases treated with Y-90 radioembolization.

Objectives: The aim of our study was to evaluate the cooccurrence of capsular liver lesions along with peritoneal carcinomatosis and hematogenous metastases in other regions of the body in ovarian cancer patients on follow-up F-18 fluorodeoxyglucose (¹⁸F-FDG) positron emission tomography/computed tomography (PET/CT) studies.

Methods: Consecutive ¹⁸F-FDG PET/CT studies of 54 women with ovarian cancer between August 2012 and January 2020 and a total of 192 scans were analysed retrospectively. All patients had at least one hepatic and/or capsular lesion with high ¹⁸F-FDG uptake and at least two PET/CT examinations.

Results: According to interpretation, of 54 patients with hepatic or capsular lesions, 44 (81.4%), 5 (9.3%) and 5 (9.3%) of them were concluded as perihepatic implants, hematogenous liver metastases and both, respectively. Accompanying peritoneal carcinomatosis on follow-up PET/CT images was found in 42 (95.4%) and 3 (60%) patients with solely capsular lesions and solely hematogenous liver metastases, respectively. Extrahepatic hematogenous organ metastases on follow-up PET/CT images were seen in 4 (9.0%) and 3 (60%) patients with solely capsular lesions and solely hematogenous liver metastases, respectively. Lungs, bones, spleen and brain were detected metastases sites.

Conclusion: Cooccurrence of peritoneal carcinomatosis in other regions of abdomen was found to be higher in comparison to hematogenous organ metastases on consecutive PET/CT studies of ovarian cancer patients with capsular liver lesions. The primary opinion of the nuclear medicine physician is essential along with the other patient data for differential diagnosis and treatment approach in this particular patient group.

Objectives: The purpose of this study was to investigate whether ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) positron emission tomography/computed tomography (PET/CT) parameters have a role in differentiating invasive mucinous lung adenocarcinoma (IMA) from lepidic predominant lung adenocarcinoma (LPA). Additionally, we compared the ¹⁸F-FDG-PET/CT features between survivors and non-survivors.

Methods: Tumors were divided into 2 groups according to CT appearance: Group 1: nodular-type tumor; group 2: mass- or pneumonic-type tumor. Unilateral and bilateral multifocal diseases were detected. Clinicopathological characteristics and PET/CT findings were compared between IMAs and LPAs, as well as between survivors and non-survivors.

Results: We included 43 patients with IMA and 14 with LPA. Tumor size (p=0.003), incidence of mass/pneumonic type (p=0.011), and bilateral lung involvement (p=0.049) were higher in IMAs than in LPAs. IMAs had more advanced T, M, and Tumor, Node, and Metastasis stages than in LPAs (p=0.048, p=0.049, and p=0.022, respectively). There was no statistically significant difference in maximum standardized uptake value (SUV_max) between the IMA and LPA (p=0.078). The SUV was significantly lower in the nodular group than in the mass/pneumonic-type group (p=0.0001). A total of 11 patients died, of whom SUV_max values were significantly higher in these patients (p=0.031). Male gender (p=0.0001), rate of stage III-IV (p=0.0001), T3-T4 (p=0.021), M1 stages (p=0.0001), multifocality (p=0.0001), and bilateral lung involvement (p=0.0001) were higher in non-survivor.

Conclusions: Although CT images were useful for the differential diagnosis of LPAs and IMAs, SUV_max was not helpful for differentiation of these 2 groups. However, both ¹⁸F-FDG uptake and CT findings may play an important role in predicting prognosis in these patients.