Jiatong Li, Nan Cui, Yanmei Wang, Wei Li, Zhiyun Jiang, Wei Liu, Chenxu Guo, Kezheng Wang
{"title":"Prediction of preoperative lymph-vascular space invasion and survival outcomes of cervical squamous cell carcinoma by utilizing 18 F-FDG PET/CT imaging at early stage.","authors":"Jiatong Li, Nan Cui, Yanmei Wang, Wei Li, Zhiyun Jiang, Wei Liu, Chenxu Guo, Kezheng Wang","doi":"10.1097/MNM.0000000000001909","DOIUrl":"10.1097/MNM.0000000000001909","url":null,"abstract":"<p><strong>Objective: </strong>To establish nomograms for predicting preoperative lymph-vascular space invasion (LVSI) and survival outcomes of cervical squamous cell carcinoma (CSCC) based on PET/CT radiomics.</p><p><strong>Methods: </strong>One hundred and twenty-three patients with CSCC and LVSI status were enrolled retrospectively. Independent predictors of LVSI were identified through clinicopathological factors and PET/CT metabolic parameters. We extracted 1316 features from PET and CT volume of interest, respectively. Additionally, four models (PET-RS: radiomic signature of PET only; CT-RS: radiomic signature of CT only; PET/CT-RS + clinical data; PET/CT-RS: radiomic signature of PET and CT) were established to predict LVSI status. Calculation of radiomics scores of PET/CT was executed for assessment of the survival outcomes, followed by development of nomograms with radiomics (NR) or without radiomics (NWR).</p><p><strong>Results: </strong>One hundred and twenty-three patients with pathologically confirmed CSCC had been categorized into two sets (training and testing sets). It was found that only maximum standardized uptake value (SUV max ) and squamous cell carcinoma antigen were independent predictors of LVSI. Meanwhile, the PET/CT-RS + clinical data outperformed the other three models in the training set [area under the curve (AUC): 0.91 vs. 0.861 vs. 0.81 vs. 0.814] and the testing set (AUC: 0.885 vs. 0.857 vs. 0.783 vs. 0.798). Additionally, SUV max and LVSI had been demonstrated to be independent prognostic indicators for progression-free survival and overall survival. Decision curve analysis and calibration curve indicated that NRs were superior to NWRs. The survival outcomes were assessed.</p><p><strong>Conclusion: </strong>PET/CT-based radiomic signature nomogram enables a new method for preoperative prediction of LVSI and survival prognosis for patients with CSCC.</p>","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":" ","pages":"1069-1081"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142361890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eui Jung An, Jin Beom Kim, Junik Son, Shin Young Jeong, Sang-Woo Lee, Byeong-Cheol Ahn, Pan-Woo Ko, Chae Moon Hong
{"title":"Deep learning-based binary classification of beta-amyloid plaques using 18 F florapronol PET.","authors":"Eui Jung An, Jin Beom Kim, Junik Son, Shin Young Jeong, Sang-Woo Lee, Byeong-Cheol Ahn, Pan-Woo Ko, Chae Moon Hong","doi":"10.1097/MNM.0000000000001904","DOIUrl":"10.1097/MNM.0000000000001904","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to investigate a deep learning model to classify amyloid plaque deposition in the brain PET images of patients suspected of Alzheimer's disease.</p><p><strong>Methods: </strong>A retrospective study was conducted on patients who were suspected of having a mild cognitive impairment or dementia, and brain amyloid 18 F florapronol PET/computed tomography images were obtained from 2019 to 2022. Brain PET images were visually assessed by two nuclear medicine specialists, who classified them as either positive or negative. Image rotation was applied for data augmentation. The dataset was split into training and testing sets at a ratio of 8 : 2. For the convolutional neural network (CNN) analysis, stratified k-fold ( k = 5) cross-validation was applied using training set. Trained model was evaluated using testing set.</p><p><strong>Results: </strong>A total of 175 patients were included in this study. The average age at the time of PET imaging was 70.4 ± 9.3 years and included 77 men and 98 women (44.0% and 56.0%, respectively). The visual assessment revealed positivity in 62 patients (35.4%) and negativity in 113 patients (64.6%). After stratified k-fold cross-validation, the CNN model showed an average accuracy of 0.917 ± 0.027. The model exhibited an accuracy of 0.914 and an area under the curve of 0.958 in the testing set. These findings affirm the model's high reliability in distinguishing between positive and negative cases.</p><p><strong>Conclusion: </strong>The study verifies the potential of the CNN model to classify amyloid positive and negative cases using brain PET images. This model may serve as a supplementary tool to enhance the accuracy of clinical diagnoses.</p>","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":" ","pages":"1055-1060"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142351446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The diagnostic value of combining preoperative serum CA19-9, ALBI score, and 18 F-FDG PET/CT imaging in preoperative resectability of pancreatic cancer.","authors":"Shuli Yang, Ruixue Ma, Jing Wu","doi":"10.1097/MNM.0000000000001910","DOIUrl":"10.1097/MNM.0000000000001910","url":null,"abstract":"<p><strong>Objective: </strong>Pancreatic cancer is an increasing cause of cancer-related mortality, with persistently low survival rates. We investigated the clinical diagnostic value of the combination of preoperative serum carbohydrate antigen 19-9 (CA19-9), albumin-bilirubin (ALBI) score, and 18 F-fluoro-2-deoxy- d -glucose PET integrated with computed tomography ( 18 F-FDG PET/CT) imaging in pancreatic cancer preoperative resectability.</p><p><strong>Methods: </strong>This study included 143 pancreatic cancer patients, including 68 preoperative resectable and 75 preoperative unresectable pancreatic cancer patients. Meanwhile, 67 patients with non-pancreatic cancer were included as the control group. The clinical data were collected. Serum CA19-9 level was measured by ELISA. The levels of total bilirubin and albumin were determined using a biochemical analyzer, with the ALBI score calculated. All patients underwent 18 F-FDG PET/CT imaging. The consistency of the diagnosis was evaluated by the Kappa test. Logistic univariate and multivariate regression analyses were performed. The diagnostic efficacy of these parameters was evaluated using receiver operating characteristic (ROC) curves, and the optimal ROC curve thresholds were obtained using the Youden index.</p><p><strong>Results: </strong>The preoperative serum CA19-9 and ALBI score of patients with preoperative resectable pancreatic cancer were increased, which helped diagnose preoperative resectable pancreatic cancer. 18 F-FDG PET/CT imaging had diagnostic value for preoperative resectable pancreatic cancer. Preoperative serum CA19-9, ALBI score, and 18 F-FDG PET/CT imaging were independent influencing factors for pancreatic cancer preoperative resectability, and their combination had higher diagnostic value for preoperative resectable pancreatic cancer than any single of these indexes.</p><p><strong>Conclusion: </strong>The combination of preoperative serum CA19-9, ALBI score, and 18 F-FDG PET/CT imaging had high diagnostic value for pancreatic cancer preoperative resectability.</p>","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":" ","pages":"1061-1068"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142372505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claudia Ortega, Reut Anconina, Sayali Joshi, Ur Metser, Anca Prica, Sarah Johnson, Zhihui Amy Liu, Sareh Keshavarzi, Patrick Veit-Haibach
{"title":"Combination of FDG PET/CT radiomics and clinical parameters for outcome prediction in patients with non-Hodgkin's lymphoma.","authors":"Claudia Ortega, Reut Anconina, Sayali Joshi, Ur Metser, Anca Prica, Sarah Johnson, Zhihui Amy Liu, Sareh Keshavarzi, Patrick Veit-Haibach","doi":"10.1097/MNM.0000000000001895","DOIUrl":"10.1097/MNM.0000000000001895","url":null,"abstract":"<p><strong>Purpose: </strong>The purposes was to build model incorporating PET + computed tomography (CT) radiomics features from baseline PET/CT + clinical parameters to predict outcomes in patients with non-Hodgkin lymphomas.</p><p><strong>Methods: </strong>Cohort of 138 patients with complete clinical parameters and follow up times of 25.3 months recorded. Textural analysis of PET and manual correlating contouring in CT images analyzed using LIFE X software. Defined outcomes were overall survival (OS), disease free-survival, radiotherapy, and unfavorable response (defined as disease progression) assessed by end of therapy PET/CT or contrast CT. Univariable and multivariable analysis performed to assess association between PET, CT, and clinical.</p><p><strong>Results: </strong>Male ( P = 0.030), abnormal lymphocytes ( P = 0.030), lower value of PET entropy ( P = 0.030), higher value of SHAPE sphericity ( P = 0.002) were significantly associated with worse OS. Advanced stage (III or IV, P = 0.013), abnormal lymphocytes ( P = 0.032), higher value of CT gray-level run length matrix (GLRLM) LRLGE mean ( P = 0.010), higher value of PET gray-level co-occurrence matrix energy angular second moment ( P < 0.001), and neighborhood gray-level different matrix (NGLDM) busyness mean ( P < 0.001) were significant predictors of shorter DFS. Abnormal lymphocyte ( P = 0.033), lower value of CT NGLDM coarseness ( P = 0.082), and higher value of PET GLRLM gray-level nonuniformity zone mean ( P = 0.040) were significant predictors of unfavorable response to chemotherapy. Area under the curve for the three models (clinical alone, clinical + PET parameters, and clinical + PET + CT parameters) were 0.626, 0.716, and 0.759, respectively.</p>","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":" ","pages":"1039-1046"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11537470/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142471824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sándor Czibor, Zselyke Csatlós, Krisztián Fábián, Márton Piroska, Tamás Györke
{"title":"Volumetric and textural analysis of PET/CT in patients with diffuse large B-cell lymphoma highlights the importance of novel MTVrate feature.","authors":"Sándor Czibor, Zselyke Csatlós, Krisztián Fábián, Márton Piroska, Tamás Györke","doi":"10.1097/MNM.0000000000001884","DOIUrl":"10.1097/MNM.0000000000001884","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the prognostic value of clinical, volumetric, and radiomics-based textural parameters in baseline [ 18 F]FDG-PET/CT scans of diffuse large B-cell lymphoma (DLBCL) patients.</p><p><strong>Methods: </strong>We retrospectively investigated baseline PET/CT scans and collected clinical data of fifty DLBCL patients. PET images were segmented semiautomatically to determine metabolic tumor volume (MTV), then the largest segmented lymphoma volume of interest (VOI) was used to extract first-, second-, and high-order textural features. A novel value, MTVrate was introduced as the quotient of the largest lesion's volume and total body MTV. Receiver operating characteristics (ROC) analyses were performed and 24-months progression-free survival (PFS) of low- and high-risk cohorts were compared by log-rank analyses. A machine learning algorithm was used to build a prognostic model from the available clinical, volumetric, and textural data based on logistic regression.</p><p><strong>Results: </strong>The area-under-the-curve (AUC) on ROC analysis was the highest of MTVrate at 0.74, followed by lactate-dehydrogenase, MTV, and skewness, with AUCs of 0.68, 0.63, and 0.55, respectively which parameters were also able to differentiate the PFS. A combined survival analysis including MTV and MTVrate identified a subgroup with particularly low PFS at 38%. In the machine learning-based model had an AUC of 0.83 and the highest relative importance was attributed to three textural features and both MTV and MTVrate as important predictors of PFS.</p><p><strong>Conclusion: </strong>Individual evaluation of different biomarkers yielded only limited prognostic data, whereas a machine learning-based combined analysis had higher effectivity. MTVrate had the highest prognostic ability on individual analysis and, combined with MTV, it identified a patient group with particularly poor prognosis.</p>","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":" ","pages":"931-937"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11460743/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141893987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stefan Vöö, Stephanie E Baldeweg, Rajender Kumar, Harmandeep Singh, Bhagwant R Mittal, Jamshed Bomanji
{"title":"Perennial inconsistencies and lack of evidence-based recommendations in current guidelines addressing blood glucose level regulations for optimal 18F-fluorodeoxyglucose PET imaging: 25-year 'silver jubilee' of an ongoing unsolved problem in nuclear medicine.","authors":"Stefan Vöö, Stephanie E Baldeweg, Rajender Kumar, Harmandeep Singh, Bhagwant R Mittal, Jamshed Bomanji","doi":"10.1097/MNM.0000000000001894","DOIUrl":"10.1097/MNM.0000000000001894","url":null,"abstract":"","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":"45 11","pages":"897-900"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142522624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of renal perfusion with 82-rubidium PET in patients with normal and abnormal renal function.","authors":"Alexandre Bibeau-Delisle, Nadia Bouabdallaoui, Caroline Lamarche, Francois Harel, Matthieu Pelletier-Galarneau","doi":"10.1097/MNM.0000000000001890","DOIUrl":"10.1097/MNM.0000000000001890","url":null,"abstract":"<p><strong>Background: </strong>Noninvasive measurement of renal blood flow (RBF) and renal vascular resistance (RVR) is challenging, yet critical in renal pathologies. This study evaluates the correlation between serum renal function markers and RBF/RVR assessed using rubidium PET.</p><p><strong>Methods: </strong>Dynamic images from 53 patients who underwent rubidium PET for nonrenal indications were analyzed. RBF was determined using a one-compartment model, and RVR was calculated by dividing mean arterial pressure by RBF.</p><p><strong>Results: </strong>The study included 51 patients (31 females and 20 males). Among them, 35 had normal renal function [estimated glomerular filtration rate (eGFR) ≥60 ml/min/1.73 m 2 ], and 16 had abnormal renal function (eGFR <60 ml/min/1.73 m 2 ). Patients with normal renal function had significantly higher RBF [median (interquartile range): 443 (297-722) vs 173 (108-380) ml/min/100 g, P = 0.022] and lower RVR [19.1 (12.4-27.2) vs 49.6 (24.4-85.7) mmHg×min×g/ml, P = 0.0011) compared with those with abnormal renal function. There was a moderate correlation between RBF and eGFR ( r = 0.62, P < 0.0001) and between RVR and eGFR ( r = -0.59, P < 0.0001) in both groups. Among patients with normal renal function, RBF was negatively correlated with age ( r = -0.51, P = 0.0017) but there was no correlation among patients with abnormal renal function ( r = 0.21, P = 0.44).</p><p><strong>Conclusion: </strong>PET-measured RBF and RVR correlate with renal function markers and differ significantly by renal function status. Further studies are needed to validate rubidium PET's precision and clinical applicability.</p>","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":" ","pages":"958-962"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142000461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of single-photon emission computed tomography acquisition method and sampling angles on image quality and quantitative accuracy in xSPECT-reconstructed images.","authors":"Daisuke Hasegawa, Toshihiro Iguchi, Masayasu Takatani, Kotaro Tokunaga, Takuma Minoda, Masahiro Miyai","doi":"10.1097/MNM.0000000000001883","DOIUrl":"10.1097/MNM.0000000000001883","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study was to evaluate the effects of the single-photon emission computed tomography (SPECT) acquisition method and sampling angles on the qualitative and quantitative interpretations of xSPECT-reconstructed images.</p><p><strong>Methods: </strong>The spatial resolution was evaluated using a JSP phantom, and the uniformity and quantitative accuracy were verified with a NEMA IEC Body Phantom using an SIEMENS Symbia Intevo SPECT/computed tomography system. SPECT was performed using three acquisition methods (step-and-shoot, continuous, and acquire during the step), and the sampling angles were set to 2, 3, 4, 5, and 6°. The xSPECT-reconstruction technology which is used with ordered subset-conjugated gradient minimization was used for image reconstruction.</p><p><strong>Results: </strong>Full width of half maximum, an evaluation index of spatial resolution, varied up to 2.73 mm with different sampling angles and up to 2.06 mm with different acquisition methods. Uniformity, as assessed by the coefficient of variation, improved with increasing sampling angles. The accuracy of the quantification of the hot sphere showed an error rate of approximately 10% depending on the sampling angle, and an error rate of approximately 5% depending on the different acquisition methods.</p><p><strong>Conclusions: </strong>In xSPECT-reconstructed images, the difference in sampling angle has a greater impact on image quality and quantitativity than the difference in the acquisition method. For tests in which uniformity is important, a larger sampling angle is recommended.</p>","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":" ","pages":"916-923"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141889854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Radionuclide therapy of bevacizumab-based PNA-mediated pretargeting.","authors":"JingXuan Yan, Peng Zhao, Yuanyuan Li, Jing Wang, Xia Yang, Hongbo Li, Liangang Zhuo, Wei Liao, Wenqi Fan, Yaodan Jia, Hongyuan Wei, Yue Chen","doi":"10.1097/MNM.0000000000001877","DOIUrl":"10.1097/MNM.0000000000001877","url":null,"abstract":"<p><strong>Background: </strong>The radionuclide-labeled bevacizumab (BV) is a potential therapeutic approach for vascular endothelial growth factor overexpressed tumors. Because of its large molecular weight, BV is cleared slowly in vivo , which caused damage to healthy tissues and organs. On account of this situation, using the pretargeting strategy with DNA/RNA analogs, such as peptide nucleic acid (PNA), is an effective way of treating solid tumors.</p><p><strong>Methods: </strong>The BV-PNA conjugate (BV-PNA-1) was injected intravenously as the pretargeted probe, which was specifically accumulated in a solid tumor and gradually metabolically cleared. Then the [ 177 Lu]Lu-labeled complementary PNA strand ([ 177 Lu]Lu-PNA-2) as the second probe was injected, and bound with BV-PNA-1 by the base complementary pairing. In this study, the BV-based PNA-mediated pretargeting strategy was systematically studied, including stability of probes, specific binding ability, biodistribution in animal model, evaluation of single photon emission computed tomography/computed tomography imaging, and therapeutic effect.</p><p><strong>Results: </strong>Compared with group A ([ 177 Lu]Lu-BV), the group B (BV-PNA-1 + [ 177 Lu]Lu-PNA-2) showed lower blood radiotoxicity (22.55 ±1.62 vs. 5.18 ± 0.40%, %ID/g, P < 0.05), and similar accumulation of radioactivity in tumor (5.32 ± 0.66 vs. 6.68 ± 0.79%, %ID/g, P > 0.05). Correspondingly, there was no significant difference in therapeutic effect between groups A and B.</p><p><strong>Conclusion: </strong>The PNA-mediated pretargeting strategy could increase the tumor-to-blood ratio, thereby reducing the damage to normal tissues, while having a similar therapeutic effect to solid tumor. All the experiments in this study showed the potential and effectiveness of pretargeting radioimmunotherapy.</p>","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":" ","pages":"901-909"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141620604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vasiliki Fragkiadaki, Emmanouil Panagiotidis, Evaggelia Vlontzou, Theodoros Kalathas, Anna Paschali, Charalampos Kypraios, Vasiliki Chatzipavlidou, Ioannis Datseris
{"title":"Correlation of PSA blood levels with standard uptake value maximum (SUV max ) and total metabolic tumor volume (TMTV) in 18F-PSMA-1007 and 18F-choline PET/CT in patients with biochemically recurrent prostate cancer.","authors":"Vasiliki Fragkiadaki, Emmanouil Panagiotidis, Evaggelia Vlontzou, Theodoros Kalathas, Anna Paschali, Charalampos Kypraios, Vasiliki Chatzipavlidou, Ioannis Datseris","doi":"10.1097/MNM.0000000000001881","DOIUrl":"10.1097/MNM.0000000000001881","url":null,"abstract":"<p><strong>Objectives: </strong>In this prospective study, we investigated the correlation between prostate-specific antigen (PSA) levels in the blood of patients with prostate cancer in biochemical recurrence after radical treatment with the semiquantitative parameters standard uptake value maximum (SUV max ) and the total metabolic tumor volume (TMTV) in the metastatic foci depicted in 18F-prostate-specific membrane antigen (PSMA)-1007 and 18F-choline PET/computed tomography (CT) imaging.</p><p><strong>Methods: </strong>We prospectively examined 104 patients with biochemical relapse of prostate cancer after primary definitive treatment. All patients underwent one 18F-PSMA-1007 and one 18F-choline PET/CT examination in randomized order within a time frame of 10 days and were followed for at least 6 months (182 ± 10 days). The semiquantitative parameters of SUV max and metabolic tumor volume (MTV) of each neoplastic lesion in PET/CT imaging were calculated, and further summation of each MTV value was done to calculate the TMTV.</p><p><strong>Results: </strong>According to the Spearman correlation analysis, a positive correlation was found between PSA levels and SUV max and TMTV scores in the metastatic foci of 18F-PSMA-1007 PET/CT ( r = 0.24 and 0.35, respectively; P < 0.05) and SUV max in the lesions of 18F-choline PET/CT ( r = 0.28; P < 0.0239). However, a positive but NS correlation was demonstrated between values of PSA and TMTV for each lesion in the 18F-choline PET/CT study ( r = 0.22; P = 0.0795). The detection rate of the different PSA levels with a cutoff of 1 ng/ml was higher for 18F-PSMA-1007 than 18F-choline.</p><p><strong>Conclusion: </strong>In biochemical relapse patients there is a positive correlation between PSA levels in the blood and the semiquantitative parameters SUV max and TMTV of the metastatic foci in the 18F-PSMA-1007 and 18F-Choline PET/CT imaging.</p>","PeriodicalId":19708,"journal":{"name":"Nuclear Medicine Communications","volume":" ","pages":"924-930"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141856168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}