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Resumo A doença veno-oclusiva pulmonar (DVOP) e a hemangiomatose capilar pulmonar são tipos raros de substratos histopatológicos dentro do espectro da hipertensão arterial pulmonar (HAP) com prognóstico muito ruim. Caracterizam-se por um processo fibroproliferativo generalizado das veias e/ou capilares de pequeno calibre com preservação das veias maiores, resultando em um fenótipo de hipertensão pulmonar pré-capilar. A apresentação clínica é inespecífica e semelhante a outras etiologias de HAP. O diagnóstico definitivo é obtido por meio de análise histológica, embora a biópsia pulmonar não seja aconselhada devido ao maior risco de complicações. No entanto, alguns achados adicionais podem permitir um diagnóstico clínico presuntivo de DVOP, especialmente história de tabagismo, uso de drogas quimioterápicas, exposição a solventes orgânicos (particularmente tricloroetileno), baixa capacidade de difusão do monóxido de carbono (DLCO), dessaturação ao esforço e evidências de doença venosa sem doença cardíaca esquerda no exame de imagem, manifestada por uma tríade clássica de opacidades em vidro fosco, linhas septais, e linfadenopatias. O transplante pulmonar é o único tratamento eficaz e os pacientes devem ser encaminhados no momento do diagnóstico, devido à rápida progressão da doença e ao prognóstico ruim. Apresentamos o caso de um homem de 58 anos com HAP com características de envolvimento venoso/capilar em que a suspeita clínica, o pronto diagnóstico e o encaminhamento precoce para transplante pulmonar foram determinantes para um bom desfecho.
Abstract Pulmonary veno-occlusive disease (PVOD) and pulmonary capillary hemangiomatosis are rare types of histopathological substrates within the spectrum of pulmonary arterial hypertension (PAH) with a very poor prognosis. They are characterized by a widespread fibroproliferative process of the small caliber veins and/or capillaries with sparing of the larger veins, resulting in a pre-capillary pulmonary hypertension phenotype. Clinical presentation is unspecific and similar to other PAH etiologies. Definitive diagnosis is obtained through histological analysis, although lung biopsy is not advised due to a higher risk of complications. However, some additional findings may allow a presumptive clinical diagnosis of PVOD, particularly a history of smoking, chemotherapy drug use, exposure to organic solvents (particularly trichloroethylene), low diffusing capacity for carbon monoxide (DLCO), exercise induced desaturation, and evidence of venous congestion without left heart disease on imaging, manifested by a classical triad of ground glass opacities, septal lines, and lymphadenopathies. Lung transplant is the only effective treatment, and patients should be referred at the time of diagnosis due to the rapid progression of the disease and associated poor prognosis. We present a case of a 58-year-old man with PAH with features of venous/capillary involvement in which clinical suspicion, prompt diagnosis, and early referral for lung transplantation were determinant factors for the successful outcome.
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OBJECTIVE To analyze the MSCT and MRI imaging manifestations of patients with duplication of the internal auditory canal(DIAC),improve understanding of the deformity,to provide preoperative basis for cochlear implantation.METHODS Retrospective observation of 20 cases(24 ears)of DIAC inner ear multi-spiral CT(MSCT)and MRI data,measurement and analysis of the width of the internal auditory canal(IAC)and cochlear nerve canal in the lesion group and the control group.RESULTS All DIACs had stenosis of the IAC cambined with other temporal bone malformations.MSCT shows that the 21 ears IAC,while MRI hydrography shows the 16 ears IAC divided into double tubes by bone.MRI hydrography shows a slender vestibulocochlear nerve.There were statistically significant differences(P<0.001)in the width of IAC and cochlear nerve canal between the lesion group and the control group.Six cases(8 ears)had varying degrees of hearing recovery after cochlear implant surgery.CONCLUSION DIAC shows stenosis of the IAC;The bone septa shown on MSCT are its characteristic fertures;MRI hydrography shows underdeveloped vestibular and cochlear nerves;The combination of two imaging examination methods can provide objective reference for the diagnosis of this disease and artificial auditory implantation.
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OBJECTIVE To investigate the HRCT and MRI characteristic of external auditory canal cholesteatoma(EACC)in children.METHODS A total of 40 patients(45 lesions)with EACC confirmed by pathology were retrospectively analyzed with HRCT and MRI characteristics and clinical therapeutic value.Imaging findings of 40 patients(45 lesions)with EACC were retrospectively analyzed.RESULTS Soft tissues were found in all the external auditory canal(EAC).Of the forty-five soft tissues,7 manifested as inhomogeneous strip soft tissues and 38 as lesions solid soft tissues;30 located in medial part of the EAC and covered the tympanic membrane,while the other 15 presented as tympanic membrane perforation and involved the tympanic cavity.The MRI of the 3 ears showed high signal on T2/T1 iso-intensity,high signal on DWI,and low signal on ADC.Normal whole bony EAC was observed in 17 cases and enlarged medial EAC in 28 cases.Seven cases only involved in the superior wall,but 38 cases displayed as multiple bone wall involved,of which 6 involved in circumferential walls.Thirty-three cases displayed atactic ear bone margin,11 displayed blunted or disappeared drum shield plate.Destroy of long crus of incus and manubrium mallei occurred in 15 cases,of short crus of incus in 8 cases,of stapes in 2 cases,and mastoiditis in 5 cases.According to the pneumatization degree of mastoid air cell,37 cases were classified into pneumatic type,7 cases into mixed type,and the last one into diploic type.CONCLUSION The children EACC tends to be limited and rarely involved in middle ear and mastoid process.No patient with peri-ear infection was found.Application of HRCT and MRI help accurate location and determination of cholesteatoma.According to the extent of the lesion,selecting the appropriate surgical method is an effective method to remove cholesteatoma,improve hearing and reduce recurrence.
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An increasing number of studies have shown that neuroimaging techniques, including CT- and MRI-related imaging biomarkers, are associated with the clinical outcome after intravenous thrombolysis in patients with acute ischemic stroke. Therefore, as a necessary diagnostic item for acute ischemic stroke, imaging examinations and related biomarkers have important value in predicting the outcome after intravenous thrombolysis in patients with acute ischemic stroke.
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Objective To investigate the imaging features of intestinal schwannoma(IS)in order to improve the diagnostic ability of the disease.Methods The clinical and imaging data of 14 patients with surgically and pathologically confirmed IS were retrospectively analyzed,including the location,size,morphology,nature,growth pattern,CT density,MRI signal,PET/CT metabolism and other characteristics of the tumors.Results Of the 14 IS cases,the lesions of 3 cases were located in the duodenum,2 cases in the cecum,8 cases in the colon and 1 case in the rectum.The lesions were all round or oval,with an average maximum diameter of(2.4±1.1)cm.The lesions were solid in 13 cases,extraluminal growth in 10 cases,cystic degeneration in 1 case and myxoid degeneration in 1 case.Chronic inflammatory lymph nodes were seen around the diseased intestines in 9 cases,and the short diameter of lymph nodes was greater than 5 mm in 6 cases.All 14 cases of IS showed low attenuation on plain CT scan,and progressive enhancement after contrast injection,including 1 case of mild enhancement,2 cases of moderate enhancement,and 11 cases of obvious enhancement.Two cases of IS showed low signal intensity on T1WI,slightly high signal intensity on T2WI,significantly high signal intensity on DWI,and obvious progressive enhancement after contrast injection on MRI.Two cases of IS showed high metabolism on 18F-FDG-PET/CT,and the SUVmax was 9.4 and 8.8,respectively.Conclusion The imaging findings of IS were characteristic to a certain extent.They mainly manifested as solid nodules or masses derived from the intestinal submucosa,with uniform attenuation or signal intensity,obvious progressive enhancement after contrast injection,obvious hypermetabolism on 18F-FDG-PET/CT,and slightly larger homogeneous lymph nodes were common around the lesions.
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Objective:To study the CT manifestations of malignant hepatic perivascular epithelioid cell carcinoma (PEComa).Methods:Clinical data of nine patients undergoing surgery with histologically confirmed malignant hepatic PEComa in Yueqing People's Hospital, Wenzhou People's Hospital, and Yongjia County People's Hospital from January, 2010 to June, 2022 were retrospectively collected, including two males and seven females with a median age of 47 (43, 56) years old. The CT findings, including tumor size, shape, boundary, density, and enhancement patterns, were analyzed.Results:CT scans showed that all nine tumors were single lesions. Five tumors were located in right liver lobe, three in left lobe, and one in caudate lobe. The median tumor diameter was 5.7 (range, 3.3-16.0 ) cm. In terms of tumor shape, three were round, four were quasi-circular, and two were irregular. Eight tumors had well-defined boundaries, while one was ill-defined. Nine tumors showed uneven densities and were lower than the adjacent liver parenchyma. Four tumors had a false capsule, one contained fatty tissue, and six had necrotic and cystic changes. In the arterial phase of contrast-enhanced CT scanning, two tumors showed moderate enhancement and seven showed significant enhancement. In the portal venous and delayed phases, enhancement decreased significantly in four cases, showing a " fast-in and fast-out" pattern. In four cases, the enhancement persisted, showing a " fast-in and slow-out" pattern. One case showed no enhancement in any phase but had a strip-like enhanced vessel inside the tumor. Five cases had significantly thickened vessels around the tumor.Conclusion:The CT manifestations of PEComa are as follows: round or quasi-circular lesions with well-defined boundaries, uneven low densities, significant enhancement in the arterial phase and rapid washout or persistent enhancement in the portal venous and delayed phases.
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Objective:To investigate the value of traditional metabolic parameters, CT features and intratumoral heterogeneity parameters measured by 18F-FDG PET/CT in predicting the mutation status of the epidermal growth factor receptor (EGFR) gene in patients with adenocarcinoma. Methods:A total of 147 patients (73 males, 74 females, age (59.8±10.2) years) with pathological confirmed adenocarcinoma between January 2016 and June 2020 in the Affiliated Hospital of Jining Medical University were retrospectively included. The differences of clinical data (smoking history, tumor location and clinical stage), CT features (maximum diameter, ground-glass opacity content, lobulation, speculation, cavitation, air-bronchogram, pleural retraction and bronchial cut-off sign), 18F-FDG PET/CT traditional metabolic parameters (SUV max, SUV mean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG)) and intratumoral heterogeneity parameters ( CV, heterogeneity index (HI)) were analyzed between patients with EGFR mutation and patients with EGFR wild-type. Independent-sample t test, Mann-Whitney U test and χ2 test were used to analyze the data. Multivariate logistic regression was used to analyze the predictors of EGFR mutation. ROC curve analysis was used to evaluate the predictive value of clinical and PET/CT information. Results:Among 147 patients, 87 were with EGFR mutation and 60 were with EGFR wild-type. There were significant differences in gender (male/female), smoking history (with/without), location (peripheral lesion/central lesion), pleural retraction (with/without), SUV max, SUV mean, TLG, CV and HI ( χ2 values: 4.72-23.89, z values: from -2.31 to 5.74, all P<0.05). Multivariate logistic regression analysis showed that smoking history (odds ratio ( OR)=0.167, 95% CI: 0.076-0.366; P<0.001), pleural retraction ( OR=1.404, 95% CI: 1.115-3.745; P=0.012), SUV max ( OR=0.922, 95% CI: 0.855-0.995; P=0.003), TLG ( OR=0.991, 95% CI: 0.986-0.996; P=0.001) and HI ( OR=0.796, 95% CI: 0.700-0.859; P<0.001) were predictors of EGFR mutation. ROC curve analysis showed the AUC of HI was 0.779, with the sensitivity of 76.67%(46/60) and the specificity of 79.31%(69/87). The predictive model was constructed by combining smoking history, pleural retraction, TLG, SUV max and HI, and the AUC was 0.908, with the sensitivity of 88.33%(53/60) and the specificity of 68.97%(60/87). The difference of AUCs between HI and the predictive model was statistically significant ( z=3.71, P<0.001). Conclusion:HI can predict EGFR mutations better, and the predictive value for EGFR mutations can be enhanced when combining HI with smoking history, pleural retraction, TLG and SUV max.
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Objective:To investigate whether the image quality of total-body PET/CT (TB PET/CT) with 1 min acquisition can meet the clinical diagnostic requirements.Methods:From May 2019 to September 2021, a total of 90 malignant tumor patients (60 males, 30 females, age 31-86 years) with primary lesions confirmed by pathological diagnosis in Zhongshan Hospital, Fudan University were respectively analyzed. All patients underwent conventional PET/CT (C PET/CT) scan with conventional clinical acquisition and TB PET/CT scan with 1 min acquisition after injecting 18F-FDG in random order. Paired t test or Wilcoxon signed rank test was used to analyze the image quality of these two scans. Results:SUV max of primary lesions in TB PET/CT group was significantly higher than that in C PET/CT group (15.9(7.9, 24.6) vs 12.5(5.8, 16.6); z=8.14, P<0.001), so were signal-to-noise ratio (SNR) of the blood pool, liver, muscles (9.3±3.0, 11.4(9.5, 14.2), 8.3(7.3, 10.1) vs 6.2±1.7, 9.4(7.7, 11.8), 6.0(4.9, 7.1)), tumor-to-blood pool ratio (TBR) (9.3(4.3, 14.8) vs 8.5(4.3, 11.1)), tumor-to-liver ratio (TLR) (6.7(3.0, 10.4) vs 6.1(2.9, 7.7)), tumor-to-muscle ratio (TMR) (23.2(11.5, 38.0) vs 18.3(9.6, 26.6); t=9.36, z values: 4.44-7.40, all P<0.001). Conclusion:The image quality of TB PET/CT scan with 1 min acquisition can meet the diagnostic requirements, and is better than the C PET/CT image quality with conventional clinical acquisition.
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Objective:To explore whether multi-parametric MRI (mpMRI) combined with 68Ga-prostate specific membrane antigen (PSMA) PET/CT can improve the detection efficiency of clinically significant prostate cancer (csPCa). Methods:Clinical and imaging data of 152 patients (age (68.5±8.5) years) who underwent mpMRI and 68Ga-PSMA PET/CT examination for suspected prostate cancer in the First Affiliated Hospital of the Air Force Medical University from January 2021 to November 2022 were retrospectively analyzed, with the histopathological results from transrectal ultrasound guided biopsy as reference. Lesions with Gleason scores (GS) ≥3+ 4 from the biopsy were diagnosed with csPCa, and lesions with negative biopsy or GS 6 were diagnosed with non-csPCa. MpMRI was evaluated independently by two radiologists according to the Prostate Imaging Reporting and Data System (PI-RADS) version 2.1. The radioactive uptake of 68Ga-PSMA PET/CT in prostate lesions was evaluated by SUV max. The independent-sample t test, Mann-Whitney U test and χ2 test were used to compare differences between the two groups, and then multivariate logistic regression analysis was performed. ROC curves analysis was used to analyze the diagnostic efficacies of individual and combined factors and Delong test was used. Results:There were 85 csPCa and 67 non-csPCa confirmed. Prostate specific antigen (PSA), PI-RADS score and SUV max were significantly different between the csPCa group and the non-csPCa group ( χ2=68.06, U values: -7.66, -8.98, all P<0.001). Multivariate logistic regression analysis indicated that PI-RADS score (odds ratio ( OR)=3.424, 95% CI: 1.651-7.100) and SUV max ( OR=1.931, 95% CI: 1.403-2.658) were independent predictors of csPCa (both P<0.001). ROC curves analysis revealed that the cut-off value for diagnosing csPCa was 4 for PI-RADS score and 5.6 for SUV max. The accuracy of mpMRI and PET/CT alone in csPCa diagnosis was 80%(122/152) (AUC of 0.789(95% CI: 0.711-0.866) with the sensitivity and specificity of 91%(77/85) and 67%(45/67)), and 87%(132/152) (AUC of 0.876(95% CI: 0.817-0.936) with the sensitivity and specificity of 81%(69/85) and 94%(63/67)), respectively. Several joint models incorporating 68Ga-PSMA PET/CT with mpMRI data were investigated, the model of PI-RADS 5 or PI-RADS 3-4 and SUV max>5.6 showed better performance than mpMRI and PET/CT alone and other joint models ( z values: 2.01-3.64, all P<0.05), with the accuracy of 91%(138/152) (AUC of 0.910(95% CI: 0.857-0.962) with the sensitivity and specificity of 89%(76/85) and 93%(62/67)). Conclusion:MpMRI combined with 68Ga-PSMA PET/CT can significantly improve the detection efficiency of csPCa, with the principal effect being improved in risk stratification of PI-RADS 3-4 lesions in mpMRI.
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Objective:To evaluate the value of prostate specific membrane antigen (PSMA) PET/CT-based radiomics models in differentiation between prostate cancer and benign prostatic hyperplasia (BPH).Methods:Data from 50 patients with prostate cancer (age: (70.0±8.8) years) and 25 patients with BPH (age: (66.9±9.4) years) who underwent 18F-PSMA-1007 PET/CT imaging and prostate biopsy in the First Affiliated Hospital of Xi′an Jiaotong University from May 2020 to September 2022 were retrospectively collected. Patients were divided into the training set ( n=53) and test set ( n=22) in the ratio of 7∶3 by using random seed number. The ROIs were delineated based on PET and CT images, and radiomics features were extracted respectively. Feature selection was performed using the minimum redundancy and maximum relevance (mRMR) and the least absolute shrinkage and selection operator (LASSO) algorithm. PET and PET/CT radiomics models were generated using logistic regression. ROC curve analysis was employed for model evaluation. In addition, comparisons of the 2 radiomics models with parameters including the ratio of free prostate specific antigen (fPSA)/total prostate specific antigen (tPSA), PET metabolic parameters, as well as prostate cancer molecular imaging standardize evaluation (PROMISE) were conducted (Delong test). Results:A total of 7 features were included in the PET radiomics model, and 3 CT-based features and 4 PET-based features were included in the PET/CT radiomics model. The AUCs of PET and PET/CT radiomics models in the training set and test set were 0.941, 0.914 and 0.965, 0.914, respectively, which were higher than those of fPSA/tPSA (0.719 and 0.710), SUV max(0.748 and 0.800), peak of SUV (SUV peak, 0.722 and 0.771), metabolic tumor volume (MTV, 0.640 and 0.595), total lesion uptake (TLU, 0.525 and 0.476) and PROMISE (0.644 and 0.667)[ z values for the training set: from -6.26 to -3.13, all P<0.01; z values for the test set: from -3.16 to -1.08, P>0.05 (fPSA/tPSA, SUV max, SUV peak) or P<0.05 (MTV, TLU, PROMISE)]. The differential diagnostic accuracy, sensitivity and specificity of PET and PET/CT radiomics models in the test set were 86.36%(19/22), 13/15, 6/7 and 90.91%(20/22), 15/15, 5/7, respectively. Conclusion:Compared with the clinical and PET parameters, PSMA PET/CT-based radiomics model can further improve the efficiency of differential diagnosis between prostate cancer and BPH.
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Objective:To investigate the value of radiomics signatures based on 18F-FDG PET/CT for predicting molecular classification and Ki-67 expression of breast cancer. Methods:A total of 134 female patients ((55.4±13.3) years) who underwent 18F-FDG PET/CT examination and were diagnosed with breast cancer by pathology in the First Affiliated Hospital of Soochow University from April 2016 to May 2023 were retrospectively enrolled. LIFEx software was used to extract radiomics features and the least absolute shrinkage and selection operator (LASSO) algorithm and independent-sample t test were used to screen potentially meaningful features and calculate the radiomics score, which were considered as radiomics models. Clinical characteristics were selected by supervised logistic regression and clinical models were established. Radiomics features and clinical characteristics were incorporated to logistic regression analysis to establish combined models. ROC curves were drawn and the differences among AUCs were analyzed by Delong test. Results:Among 134 patients, 22 were with triple negative breast cancer (TNBC), 47 were human epidermal growth factor receptor 2 (HER2) over-expression type, 37 were Luminal A type and the rest 28 were Luminal B type. The expression of Ki-67 was high in 85 patients, and was low in the rest 49 patients. The AUCs (95% CI) of the combined models for predicting TNBC, HER2 overexpression type, Luminal A type and Ki-67 expression were 0.843(0.770-0.900), 0.808(0.723-0.876), 0.825(0.711-0.908) and 0.836(0.762-0.894), respectively, which were higher than those of clinical models ( z values: 1.97-3.06, all P<0.05). Conclusion:The predictive model combining radiomics signatures based on 18F-FDG PET/CT and clinical characteristics can well predict the molecular classification and Ki-67 expression level of breast cancer.
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Objective:To investigate the diagnostic value of machine learning model based on 18F-FDG PET/CT for polymyalgia rheumatica (PMR). Methods:From November 2014 to December 2022, 177 patients (119 males, 58 females; age: 67.0 ( 61.0, 72.0) years) admitted to the Department of Rheumatology and Immunology, the First People′s Hospital of Changzhou, with suspected PMR and undergoing 18F-FDG PET/CT examination were retrospectively analyzed. Patients were randomly divided into training set and validation set at the ratio of 7∶3. Three machine learning models, including classification and regression tree (CART), the least absolute shrinkage and selection operator (LASSO) algorithm, and logistic regression, were established based on the PET/CT imaging features to aid in the diagnosis of PMR. The diagnostic efficacy of each model was evaluated by ROC curve analysis and differences among AUCs were analyzed by Delong test. Results:There were 78(44.1%, 78/177) PMR patients and 99(55.9%, 99/177) non-PMR patients, and 124 patients in the training set and 53 patients in the validation set. The logistic regression model (training set: AUC=0.961; validation set: AUC=0.930) was superior to the CART (training set: AUC=0.902, z=2.96, P=0.003; validation set: AUC=0.844, z=2.46, P=0.014) in diagnosing PMR, and was similar to LASSO algorithm (training set: AUC=0.957, z=0.95, P=0.340; validation set: AUC=0.930, z=0.00, P=1.000), but with fewer sites evaluated. The simplified PMR-Logit score had the AUC of 0.951 in the overall population, with the sensitivity of 89.74%(70/78) and the specificity of 90.91%(90/99). Conclusion:Machine learning models based on 18F-FDG PET/CT imaging features are expected to be an effective diagnostic tool for PMR.
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Objective:To compare the imaging quality and metabolic quantitative parameters of pulmonary nodules between Q. Flex whole information five-dimensional (5D) and conventional three-dimensional (3D) PET/CT imaging for clinical evaluation.Methods:Fifty-four patients (30 males, 24 females, age: 60(42, 75) years; 78 solid pulmonary nodules (maximum diameter≤3 cm) with abnormal uptake of 18F-FDG) from Tianjin Cancer Hospital Airport Hospital between June 2022 and August 2022 were enrolled in this retrospective study. All patients underwent 5D scanning and 3D, 5D reconstruction. Image quality scores, signal-to-noise ratio (SNR), SUV max, SUV mean and metabolic tumor volume (MTV) of pulmonary nodules of 5D group and 3D group were evaluated and compared with χ2 test and Wilcoxon signed rank test. Correlation of quantitative parameters between 2 groups were analyzed by using Spearman rank correlation analysis. Results:Thirty-five of 78(45%) pulmonary nodules with image quality score≥4 were found in 5D group, which were more than those in 3D group (22/78(28%); χ2=4.67, P=0.031). Meanwhile, SNR, SUV max, SUV mean, and MTV were significantly positively correlated between the 2 groups ( rs values: 0.86, 0.86, 0.85, and 0.95, all P<0.001). SNR, SUV max and SUV mean of pulmonary nodules in 5D group were significantly higher than those in 3D group, which were 37.46(18.42, 62.00) vs 32.72(16.97, 54.76) ( z=-4.07, P<0.001), 9.71(5.48, 13.82) vs 8.96(4.82, 12.63) ( z=-3.05, P<0.001) and 6.30(3.39, 8.94) vs 5.61(2.99, 7.63)( z=-4.07, P<0.001) respectively. MTV of pulmonary nodules in 5D group was significantly lower than that in 3D group, which was 1.72(0.66, 2.74) cm 3vs 1.98(1.06, 4.63) cm 3 ( z=-7.13, P<0.001). Quantitative parameters of lower lung field and nodules with maximum diameters of >10 mm and ≤20 mm based on 5D scanning changed most significantly compared with those based on 3D scanning ( z values: from -5.23 to -2.48, all P<0.05). Conclusion:Q. Flex 5D PET significantly improves the quantitative accuracy of SUV and MTV of pulmonary nodules, and the improvement of image quality is substantial without increasing the radiation dose, which has clinical practical value.
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Objective:To compare and choose the best method for measuring metabolic tumor volume (MTV) of nasal extranodal natural killer/T-cell lymphoma (ENKTL), evaluate the prognostic value of 18F-FDG PET/CT metabolic parameters and clinical staging/scoring systems for patients with nasal ENKTL, and explore the added value of the two combinations for prognostic prediction. Methods:From January 2016 to September 2022, 44 patients (26 males, 18 females; age (47.5±13.6) years) pathologically diagnosed with nasal ENKTL who underwent 18F-FDG PET/CT imaging before treatment in Union Hospital, Tongji Medical College, Huazhong University of Science and Technology were retrospectively collected. SUV 2.5, SUV 4.0 and 41%SUV max were used as thresholds to measure MTV and total lesion glycolysis (TLG), and the consistency was analyzed by Bland-Altman analysis. The ROC curve analysis was used to compare the prognostic efficiency of different methods and determine the best method. The prognostic values of different clinical factors and clinical staging/scoring systems between groups were evaluated by corrected χ2 test. The independent factors were screened by Cox-regression model, and the combined diagnosis model was constructed by logistic regression. Results:Of 44 patients, 6(13.6%) were dead, with the overall survival (OS) of 32.05(11.77, 64.43) months, and the 2-year and 5-year OS rates of 86.6% and 82.5%, respectively. The mortality of different groups in age (≥60 and <60 years), prognostic index of natural killer cell lymphoma (PINK) score (low- and high-risk), and international prognostic index (IPI) score (low- and high-risk) were significantly different ( χ2 values: 5.02, 4.12, 3.88, all P<0.05). The consistency of MTV measured by different thresholds was good. Among them, the MTV measured by threshold of SUV 2.5 had the highest predictive efficiency with the AUC of 0.737. Multivariate analysis showed that MTV (hazard ratio ( HR)=10.488, 95% CI: 1.864-59.026, P=0.008) was the independent influencing factor of OS. By removing other factors, minimization model was obtained, including MTV and PINK score ( P values: 0.006, 0.048). The prediction model of MTV combined with PINK score improved prognostic efficacy with the AUCs of MTV, PINK score and the combination model of 0.781, 0.741 and 0.912, respectively. Conclusions:MTV measured by threshold of SUV 2.5 has better prognostic predictive value. MTV is the independent prognostic factor for OS in nasal ENKTL patients. MTV combined with PINK score has better prognostic value.
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Objective:To compare the diagnostic efficacy of 18F-prostate specific membrane antigen (PSMA)-1007 PET/CT, 18F-FDG PET/CT and multi-parameter MRI (mpMRI) in prostate cancer (PCa). Methods:Retrospective analysis was conducted on data from 22 patients ((72.6±6.2) years) with pathologically confirmed PCa in the Affiliated Taizhou People′s Hospital of Nanjing Medical University between April 2021 and September 2022. All patients underwent 18F-PSMA-1007 PET/CT, 18F-FDG PET/CT, and mpMRI examination within 30 d, and the imaging parameters were collected, including PSMA-SUV max, FDG-SUV max, minimum apparent diffusion coefficient (ADC min), mean apparent diffusion coefficient (ADC mean), PSMA-SUV max/ADC min, PSMA-SUV max/ADC mean, FDG-SUV max/ADC min, FDG-SUV max/ADC mean. Patients were divided into groups based on the International Society of Urological Pathology (ISUP) grading (≤3 vs >3) and serum total prostate specific antigen (TPSA; ≤20 μg/L vs >20 μg/L), and differences of imaging parameters between groups were compared (Mann-Whitney U test or independent-sample t test). ROC curves were generated to evaluate the diagnostic ability of each parameter for different levels of PCa. χ2 test and ROC curve analysis were used to compare the detection rate and diagnostic efficiency of three imaging methods for primary focus, lymph node metastasis, and bone metastasis in PCa. Results:Differences were found between ISUP≤3 ( n=6) and >3 ( n=16) groups in PSMA-SUV max/ADC min, PSMA-SUV max/ADC mean, PSMA-SUV max, and ADC min ( z values: from -2.65 to -2.36, t=3.60, P values: 0.002-0.018). But there was no significant difference found between TPSA≤20 μg/L ( n=5) and >20 μg/L ( n=17) groups in all indices ( z values: from -1.76 to -1.45, t values: -1.19 and 1.28, all P>0.05). The optimal cut-off value for PSMA-SUV max/ADC min in differentiating high-grade and low-grade PCa was determined to be 22.628×10 3. In the patient-based analysis, no statistical difference was found in the detection rate of PCa primary tumors among 18F-PSMA-1007 PET/CT, 18F-FDG PET/CT, and mpMRI ( χ2=1.91, P=0.767). However, the detection rates of lymph node and bone metastasis among three imaging methods were significantly different (72.73%(16/22), 59.09%(13/22), 36.36%(8/22) and 81.82%(18/22), 63.64%(14/22), 45.45%(10/22); χ2 values: 6.03, 6.29; P values: 0.049, 0.043). 18F-PSMA-1007 PET/CT resulted in a 36.36%(8/22) increase in N stage and the 40.91%(9/22) increase in M stage compared to mpMRI. Conclusions:PSMA-SUV max/ADC min is a valuable parameter for differentiating high-grade and low-grade PCa. 18F-PSMA-1007 PET/CT demonstrates superior detection rate of PCa lymph node and bone metastasis compared to 18F-FDG PET/CT and mpMRI, and exhibits higher diagnostic efficiency, so it can be recommended for NM staging in patients with PCa.
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Objective:To explore the prognostic value of baseline 18F-FDG PET/CT metabolic parameters in locally advanced cervical cancer (LACC) after concurrent chemoradiotherapy (CCRT). Methods:From September 2015 to October 2021, the clinical data of 180 LACC patients (age: 22-76 years) who underwent 18F-FDG PET/CT before CCRT at Affiliated Cancer Hospital of Shandong First Medical University were analyzed retrospectively. The metabolic tumor volume (MTV), total lesion glycolysis (TLG), SUV max, and SUV mean were computed by using the margin threshold of 42%SUV max. The optimal threshold for predicting progression-free survival (PFS) was obtained by ROC curve analysis. The Kaplan-Meier method was applied for survival analysis, and the log-rank test was applied to compare the survival rate between groups. Multivariate Cox proportional hazard regression was used to analyze progression for PFS. Results:The median follow-up was 19.1 months, and 54 patients (30.0%, 54/180) suffered from disease progression. ROC curve analysis showed that the optimal cut-off value of MTV was 31.145 ml, with the AUC of 0.641. Para-aortic lymph node (PALN) metastasis had the highest AUC value (0.589) among the clinical factors, followed by International Federation of Gynecology and Obstetrics (FIGO) stage (0.581). The 1-year PFS rates of patients with MTV<31.145 ml ( n=88) and MTV≥31.145 ml ( n=92) were 80.68% and 59.78%, respectively ( χ2=13.72, P<0.001). Multivariate Cox analysis demonstrated that pathological type (hazard ratio ( HR)=3.075, 95% CI: 1.370-6.901, P=0.006), FIGO stage ( HR=1.955, 95% CI: 1.031-3.707, P=0.040), PALN metastasis ( HR=2.136, 95% CI: 1.202-3.796, P=0.010) and MTV ( HR=2.449, 95% CI: 1.341-4.471, P=0.004) were the significant predictors for PFS. Conclusions:Pathological type, FIGO stage, PALN metastasis and MTV are independent prognostic risk factors for PFS. MTV as the baseline 18F-FDG PET/CT metabolic parameter, can realize prognostic stratification analysis.
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Objective:To compare the differences of actual absorbed doses of liver malignant tumors after 90Y-selective internal radiation therapy (SIRT) evaluated by 90Y PET/CT and 90Y bremsstrahlung (BRS) SPECT/CT imaging, and to compare the image quality of the 2 imaging methods. Methods:Twenty-one patients (15 males and 6 females; age: (52.4±15.4) years) with liver malignant tumors (15 cases of primary liver cancer, 6 cases of liver metastases; 39 lesions) between September 2021 and August 2022 were retrospectively analyzed. All patients underwent both 90Y PET/CT imaging and 90Y BRS SPECT/CT imaging in the Department of Nuclear Medicine, Hainan Cancer Hospital. The ratios of the actual absorbed doses based on 90Y PET/CT imaging and 90Y BRS SPECT/CT imaging to the lowest standard absorbed dose(100 Gy) for tumor response were calculated. The image contrast and distinguishability of the two imaging methods were scored. Wilcoxon signed rank test and Wilcoxon rank sum test were used for data analysis. Results:The tumor absorbed doses evaluated by 90Y PET/CT and 90Y BRS SPECT/CT were 143.94(55.91, 233.48) Gy and 107.82(53.59, 157.53) Gy respectively. The doses evaluated by 90Y PET/CT were higher than the standard threshold in 24 lesions, while 19 lesions showed higher evaluated doses by 90Y BRS SPECT/CT than the standard threshold. Compared with 90Y PET/CT, 90Y BRS SPECT/CT underestimated the tumor absorbed dose of -24.25%(-32.32%, -12.14%). The ratio of dose evaluated by 90Y PET/CT to the lowest standard threshold was 1.33(0.56, 1.91), which was higher than that of dose evaluated by 90Y BRS SPECT/CT to the lowest standard threshold (0.97(0.47, 1.25); z=0.04, P<0.001). PET/CT image contrast was scored 0, 1, 2, 3 in 2, 2, 12, 23 lesions respectively, and SPECT/CT image contrast was scored 0, 1, 2, 3 in 2, 3, 16, 18 lesions respectively ( z=-1.29, P=0.199). The distinguishability scores of 0, 1, 2 based on PET/CT images were found in 3, 15, 21 lesions, while those based on SPECT/CT images were found in 4, 32, 3 lesions respectively ( z=-2.79, P=0.005). Conclusion:90Y PET/CT imaging is superior to 90Y BRS SPECT/CT imaging in radiation dose evaluation and tumor focus differentiation in patients with liver malignant tumors after 90Y-SIRT.
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Patients infected the coronavirus disease 2019 (COVID-19) present with asymptomatic or non-specific symptoms, such as fever, cough, dyspnea, fatigue, myalgia, headache, painful swallowing, diarrhea, loss of smell or taste disturbance. Some patients develop serious complications, such as acute respiratory distress syndrome, cardiac injury and secondary infections. PET/CT plays an important role in the evaluation, follow-up and monitoring of the outcome of oncological and inflammatory diseases. This article mainly summarizes the clinical applications of PET/CT in predicting the prognosis of COVID-19 infection, early detection of myocardial involvement, diagnosis of neurological complications by multiple molecular imaging, and identification of tumor axillary lymph node metastasis and inflammatory response after vaccination.
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18F-FDG PET/CT is one of the most advanced diagnostic methods for lymphoma, which plays an important role in the diagnosis, efficacy evaluation, prognosis prediction and clinical decision-making of lymphoma. Radiomics, which uses complex bioinformatics methods to extract quantitative information from medical images to characterize tumor heterogeneity, has blossomed over the past decade. Radiomics has been applied to 18F-FDG PET/CT to quantify the heterogeneity within tumors, which has great potential and value in the study of lymphoma. This article reviews the research progress and application of 18F-FDG PET/CT radiomics in lymphoma.
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Objective:To compare Al 18F-1, 4, 7-trizacyclononane-1, 4, 7-triacetic acid (NOTA)-fibroblast activation protein inhibitor (FAPI)-04 PET/CT with 18F-FDG PET/CT in the evaluation of patients with initial gastric cancer. Methods:Twenty patients (13 males, 7 females, age: 27-77 years) with histologically proven gastric cancer were recruited prospectively between March 2021 and July 2022 in the First Affiliated Hospital of Zhengzhou University. Each patient underwent both 18F-FDG and Al 18F-NOTA-FAPI-04 PET/CT within one week. SUV max, tumor background ratio (TBR) and positive detection rate of the two methods were compared (Wilcoxon signed rank sum test, McNemar χ2 test). Results:Al 18F-NOTA-FAPI-04 showed higher SUV max and TBR than those of 18F-FDG in primary tumors (10.2(8.0, 13.7) vs 5.2(3.3, 7.7), z=-3.47, P=0.001; 7.6(5.6, 10.3) vs 2.4(1.8, 3.0), z=-3.85, P<0.001). For the detection of primary gastric cancer, the positive detection rate of Al 18F-NOTA-FAPI-04 PET/CT showed the trend of being higher than that of 18F-FDG PET/CT (95%(19/20) and 75%(15/20); χ2=2.25, P=0.125). For assessing lymph node metastasis, the detection rate of Al 18F-NOTA-FAPI-04 PET/CT was higher than that of 18F-FDG PET/CT (78.9%(101/128) vs 64.8%(83/128); χ2=13.47, P<0.001). The SUV max and TBR of Al 18F-NOTA-FAPI-04 in lymph node were higher than those of 18F-FDG (5.3(3.5, 9.2) vs 2.8(1.8, 4.7), z=-7.31, P<0.001; 4.6(2.6, 6.5) vs 1.7(1.0, 3.0), z=-8.44, P<0.001). For the detection of peritoneal carcinomatosis, Al 18F-NOTA-FAPI-04 PET/CT showed higher peritoneal cancer index (PCI), SUV max, and TBR compared to 18F-FDG PET/CT (PCI: 12.0(3.0, 29.8) vs 5.5(0.5, 17.5), z=-2.22, P=0.026; SUV max: 8.2(4.4, 12.5) vs 2.7(1.9, 4.0); z=-2.52, P=0.012; TBR: 5.1(2.9, 13.3) vs 1.1(0.9, 2.0); z=-2.52, P=0.012). Conclusion:Al 18F-NOTA-FAPI-04 PET/CT outperforms 18F-FDG PET/CT in primary and metastatic lesions of gastric cancer and might be a potential novel modality for imaging patients with gastric cancer.