ABSTRACT
Hepatic echinococcosis is a chronic parasitic disease, which is caused by the larvae of Echinococcus multilocularis. It has a high risk of disability and mortality, which is also known as "parasite cancer". In clinical practice, hepatic echinococcosis can be divided into hepatic alveolar echinococcosis and hepatic cystic echinococcosis. Hepatic echinococcosis is widely prevalent worldwide. It mainly occurs in the populations residing agricultural and pastoral areas in western China, posing significant threats to the quality of life of local residents. At present, surgery is the main treatment for hepatic echinococcosis in clinical settings. With rapid development of surgical diagnosis and treatment technology and deepening understanding of hepatic echinococcosis, diagnosis and treatment regimens have also been constantly improved. In this article, research progresses on the diagnosis and treatment of hepatic alveolar echinococcosis were reviewed, aiming to provide reference for clinicians, deliver early diagnosis and treatment, mitigate adverse effects of this disease upon patients and improve clinical prognosis.
ABSTRACT
Objetives: to evaluate the benefit of implementing 18F-FDG PET/TC in the staging and treatment adjustment of patients with sarcoidosis, compared with the signs and symptoms and complementary test results usually employed. Materials and methods: an observational, analytical electronic chart review of a retrospective cohort of patients seen for sarcoidosis in the internal medicine department of a Spanish university hospital. Results: a total of 31 patients (18 males) were evaluated, with an average age of 54.6±14.71 years and 11±5.75 years since their sarcoidosis diagnosis. In the 84.6% of the reviews, positive uptake was objectified on the 18F-FDG PET/TC. In the 42.3% of the occasions, the objectified find ing allowed restaging of the patient. The 18F-FDG PET/TC result justified the choice of treatment in the 71% of the reviews. Conclusions: 18F-FDG PET/TC provided additional advantages in the staging and therapeutic management of patients with sarcoidosis, compared with the evaluation of signs and symptoms and other clinical tests usually employed in follow up, due to its greater accuracy in determining the activity and extension of the disease. (Acta Med Colomb 2022; 48. DOI: https://doi.org/10.36104/amc.2023.2778).
ABSTRACT
RESUMEN La captación de 18 FDG en PET-TC por un adenoma hepatocelular (HCA) es poco frecuente. Esta situación genera dudas en cuanto a los diagnósticos diferenciales y tratamiento. El objetivo de este artículo fue realizar una mini revisión de los últimos 37 años de HCA con avidez por el 18FDG y presentar un nuevo caso. Sobre la base de un estudio realizado por otros autores entre 1984 y 2014, se amplía la búsqueda utilizando las mismas palabras clave hasta el año 2021. Se analizan los datos relevantes. Entre 1984 y 2021 detectamos 38 casos en 37 años. Fue más frecuente en mujeres en edad reproductiva. Los subtipos H-HCA e I-HCA fueron los más frecuentes. El tratamiento quirúrgico fue el más empleado. La diferenciación celular y los trastornos metabólicos de la glucosa y de los lípidos favorecerían la captación de 18FDG. La resección hepática ofrecería mayores garantías permitiendo el estudio completo de la lesión.
ABSTRACT Hepatocellular adenoma (HCA) uptake of 18FDG uptake on PET-CT is rare. This situation poses doubts about the differential diagnoses and treatment. The aim of this article is to perform a mini review of 18FDG avid HCA over the past 37 years and to describe a new case presentation. Based on a study conducted by other authors between 1984 and 2014, we extended the search until 2021 using the same keywords. The relevant data were analyzed. Between 1984 and 2021 we detected 38 cases in 37 years. HCAs were more common in women of childbearing age. The most common types were H-HCA an I-HCA. Surgical resection was the treatment most used. Cell differentiation and glucose and lipid metabolic diseases would favor 18FDG uptake. Liver resection provides better outcomes, allowing for a complete examination of the lesion.
ABSTRACT
Perianal Paget's disease (PPD) is a rare malignant cutaneous tumor. This paper reported a case of PPD complicated by lung adenocarcinoma and anal canal cancer. The patient, a 76-year-old female, had been experiencing recurrent lower abdominal pain and perianal pruritus for the past 5 years. Upon physical examination, a cauliflower-like neoplasm in size of 5 cm×6 cm was observed on the right perianal skin, with local skin ulceration and a small amount of fluid discharge. The left perianal skin was also involved. In thoracoknee position, a hard mass was palpable in the rectal submucosa at 5-6 points 2 cm from the anal verge. Chest CT revealed multiple lesions in both lungs, indication of metastatic tumors. Further evaluation with fluorodeoxyglucose positron emission tomography and computed tomography (FDG-PET/CT) indicated multiple hypermetabolic nodules in the lungs, hypermetabolic lymph nodes throughout the body, early FDG uptake in a small patch of skin on the left hip, and increased FDG uptake in the anorectal region. Histopathological examination confirmed the diagnosis of lung adenocarcinoma. This resulted in the patient being diagnosed with PPD, lung adenocarcinoma, anal canal cancer, and systemic multiple lymph node metastasis. The combination of PPD with gastrointestinal tumors and other metachronous malignant tumors is highly prevalent. Colonoscopy, FDG-PET/CT, histopathology, and immunohistochemistry play crucial roles in early identification of local lymph node and distant involvement, facilitating the evaluation of potential malignant tumors and differential diagnosis. Treating methods for PPD are currently diverse, including postoperative combined or single chemotherapy, radiotherapy, targeted therapy, and photodynamic therapy. As trerapeutical options continue to develop, the extent and efficacy of surgery need to be reassessed.
Subject(s)
Female , Humans , Aged , Paget Disease, Extramammary/pathology , Fluorodeoxyglucose F18 , Positron Emission Tomography Computed Tomography , Adenocarcinoma of Lung/complications , Lung Neoplasms/complicationsABSTRACT
OBJECTIVE@#To investigate the correlation between 18Fluoro-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) metabolic parameters and peripheral blood circulating tumour DNA (ctDNA) in patients with diffuse large B-cell lymphoma (DLBCL), and the prognostic value of these two types of parameters in predicting progression-free survival (PFS).@*METHODS@#Clinical, PET/CT and ctDNA data of DLBCL patients who underwent peripheral blood ctDNA testing and corresponding PET/CT scans during the same period were retrospectively analyzed. At the time of ctDNA sampling and PET scan, patients were divided into baseline and relapsed/refractory (R/R) groups according to different disease conditions. CtDNA mutation abundance was expressed as variant allele frequency (VAF), including maximum VAF (maxVAF) and mean VAF (meanVAF). Total metabolic tumour volume (TMTV) and total lesion glycolysis (TLG) were obtained by the 41% maximum normalized uptake value method, and the distance between the two farthest lesions (Dmax) was used to assess the correlation between PET parameters and ctDNA mutation abundance using Spearman correlation analysis. The receiver operating characteristic (ROC) curves were used to obtain the optical cut-off values of those parameters in predicting PFS in the baseline and R/R groups, respectively. Survival curves were outlined using the Kaplan-Meier method and log-rank test was performed to compare survival differences.@*RESULTS@#A total of 67 DLBCL patients ［28 males and 39 females, median age 56.0(46.0, 67.0) years］ were included and divided into baseline group (29 cases) and R/R group (38 cases). Among these PET parameters, baseline TMTV, TLG, and Dmax were significantly correlated with baseline ctDNA mutation abundance, except for maximum standardized uptake value (SUVmax) (maxVAF vs TMTV: r=0.711; maxVAF vs TLG: r=0.709; maxVAF vs Dmax: r=0.672; meanVAF vs TMTV: r=0.682; meanVAF vs TLG: r=0.677; meanVAF vs Dmax: r=0.646). While in all patients, these correlations became weaker significantly. Among R/R patients, only TMTV had a weak correlation with meanVAF (r=0.376). ROC analysis showed that, the specificity of TMTV, TLG and Dmax in predicting PFS was better than mutation abundance, while the sensitivity of ctDNA mutation abundance was better. Except R/R patients, TMTV, TLG, Dmax, and VAF were significantly different at normal/elevated lactate dehydrogenase in baseline group and all patients (all P<0.05). Survival curves indicated that high TMTV (>109.5 cm3), high TLG (>2 141.3), high Dmax (>33.1 cm) and high VAF (maxVAF>7.74%, meanVAF>4.39%) were risk factors for poor PFS in baseline patients, while only high VAF in R/R patients (both maxVAF and meanVAF >0.61%) was a risk factor for PFS.@*CONCLUSION@#PET-derived parameters correlate well with ctDNA mutation abundance, especially in baseline patients. VAF of ctDNA predicts PFS more sensitively than PET metabolic parameters, while PET metabolic tumour burden with better specificity. TMTV, TLG and VAF all have good prognostic value for PFS. PET/CT combined with ctDNA has potential for further studies in prognostic assessment and personalized treatment.
Subject(s)
Male , Female , Humans , Middle Aged , Positron Emission Tomography Computed Tomography , Fluorodeoxyglucose F18 , Circulating Tumor DNA/genetics , Retrospective Studies , Positron-Emission Tomography , Survival Analysis , Lymphoma, Large B-Cell, Diffuse/metabolism , PrognosisABSTRACT
Objective:To investigate the application value of dual-phase 18F-fluorocholine (FCH) PET/CT imaging in uremic hyperparathyroidism (uHPT). Methods:Twenty patients (10 males, 10 females, age: (46.8±12.3) years) who were diagnosed with uHPT and underwent neck ultrasound and dual-phase (5, 45 min) 18F-FCH PET/CT imaging at Affiliated Hospital of Southwest Medical University between December 2019 and March 2022 were retrospectively analyzed. Patients underwent parathyroidectomy within 1 month after PET/CT imaging. The sensitivity of neck ultrasound and dual-phase 18F-FCH PET/CT imaging for the diagnosis of hyperfunctioning parathyroid glands were compared based on the surgical results. The early- and late-phase 18F-FCH PET/CT images were compared visually and quantitatively, and the difference of SUV max between parathyroid hyperplasia and parathyroid adenoma was compared. The correlations between SUV max and important laboratory parameters and the volume of lesions measured on CT were tested. Fisher exact test, paired t test, independent-sample t test and Spearman rank correlation analysis were used for statistical analysis. Results:A total of 69 masses were removed in 20 patients with uHPT, and 55 parathyroid hyperplasia and 10 parathyroid adenomas were identified by pathology. Dual-phase 18F-FCH PET/CT imaging (87.69%, 57/65) was more sensitive than neck ultrasound (56.92%, 37/65) for the diagnosis of hyperfunction of the parathyroid gland ( P=0.001). The early imaging detected more lesions than late imaging (57 vs 49) respectively, which showing higher sensitivity (87.69%(57/65) vs 75.38%(49/65); P<0.001). The SUV max(5.75±2.21 vs 4.08±1.51) and the corresponding parathyroid-to-thyroid ratio (2.99±0.99 vs 3.57±1.30) were both significantly different between early and late imaging ( t values: 8.28, 4.33, both P<0.001). There were no significant differences between parathyroid hyperplasia and parathyroid adenoma in SUV max(early imaging: 5.08±2.27 vs 6.58±2.24; t=-1.90, P=0.063; late imaging: 3.89±1.54 vs 4.93±1.04; t=-1.94, P=0.059). The sum of SUV max of all lesions in early imaging was not correlated with preoperative serum parathyroid hormone (PTH) or Ca or P or lesion size ( rs values: from -0.22 to 0.06, all P>0.05). Conclusions:Dual-phase 18F-FCH PET/CT imaging has high sensitivity in the diagnosis of uHPT, and early and late imaging shows advantages in different aspects, with good preoperative localization ability. Therefore, for patients with uHPT, it is recommended to complete the dual-phase 18F-FCH PET/CT examination before surgery.
ABSTRACT
Objective:To evaluate the value of integrated PET/MR in assessing myocardial viability in ischemic heart disease.Methods:A total of 39 patients (28 males, 11 females; age (60.1±12.0) years) diagnosed with ischemic heart disease in Xuanwu Hospital, Capital Medical University were retrospectively enrolled from September 2020 to December 2021. All patients underwent cardiac 13N-NH 3·H 2O and 18F-FDG PET/MR examinations. Late gadolinium enhancement (LGE) sequence was included in MRI scan. PET and MRI images were analyzed and myocardial viability of each myocardial segment was evaluated according to the American Heart Association (AHA) 17 segment method. The extent of left ventricular infarcted myocardium was measured based on PET and MRI images. Weighted Kappa test was used to evaluate the agreement of PET and MRI in assessing myocardial viability. The extent of infarcted myocardium measured by PET and MRI was compared by paired- t test, and Pearson correlation analysis was used to assess the correlation between them. Results:There was a moderate agreement between PET and MRI in assessing myocardial viability ( Kappa=0.532, P<0.001), with the agreement rate of 69.83%(463/663). There was no significant difference but strong correlation between the extents of infarcted myocardium measured by PET and MRI ((23.89±14.23)% vs (23.55±11.90)%; t=-0.24, P=0.809; r=0.79, P<0.001). In segments with normal perfusion and metabolism on PET, 22.52% (100/444) showed abnormal enhancement on MRI. On the other hand, 39.89% (73/183) of the segments classified as non-viable on MRI showed normal or viable on PET. Conclusion:Integrated PET/MR is able to take full advantage of the complementary nature of PET and MRI, achieving the comprehensive and accurate evaluation of myocardial viability.
ABSTRACT
Objective:To investigate the value of pre-therapy 18F-FDG PET/CT radiomic models in differentiating epidermal growth factor receptor (EGFR) exon 19 deletion from exon 21 L858R missense in patients with non-small cell lung cancer (NSCLC). Methods:A total of 172 patients with EGFR mutant NSCLC (54 males, 118 females, age: (56.2±12.5) years) in the Fourth Hospital of Hebei Medical University between January 2015 and November 2019 were retrospectively included. Exon 19 mutation was found in 75 patients and exon 21 mutation was identified in 97 patients. The patients were divided into training set ( n=121) and validation set ( n=51) in a 7∶3 ratio by using random number table. The LIFEx 4.00 package was used to extract texture features of PET/CT images of lesions. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature screening. Three machine learning models, namely logistic regression (LR), random forest (RF), and support vector machine (SVM) models, were constructed based on the selected optimal feature subsets. The ROC curve analysis was performed to assess the predictive performance of those models. Finally, decision curve analysis (DCA) was used to evaluate the clinical value of the models. Results:Nine radiomics features, including 6 PET features (histogram (HISTO)_Kurtosis, SHAPE_Sphericity, gray level run length matrix (GLRLM)_ low gray-level run emphasis (LGRE), GLRLM_ run length non-uniformity (RLNU), neighborhood grey level different matrix (NGLDM)_Contrast, gray level zone length matrix (GLZLM)_ short-zone low gray-level emphasis (SZLGE)), and 3 CT features (gray level co-occurrence matrix (GLCM)_Correlation, GLRLM_ run percentage (RP), NGLDM_Contrast), were screened by LASSO algorithm. Three machine learning models had similar predictive performance in the training and validation sets: AUCs for the RF model were 0.79, 0.77, and those for the SVM model were 0.76, 0.75, for the LR model were 0.77, 0.75. The DCA showed that the 3 machine learning models had good net benefits and clinical values in predicting EGFR mutation subtypes.Conclusion:18F-FDG PET/CT radiomics provide a non-invasive method for the identification of EGFR exon 19 deletion and exon 21 L858R missense mutations in patients with NSCLC, which may help the clinical decision-making and the formulation of individualized treatment plan.
ABSTRACT
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly ravaged the world and infected hundreds of millions of people since its outbreak. Early diagnosis of COVID-19 is conducive to the control of virus transmission and the timely treatment of patients. Among the imaging techniques, chest CT is an important basis for the diagnosis and evaluation of COVID-19. 18F-FDG PET is not generally recommended as a routine diagnostic tool for COVID-19, but it plays an important role in the assessment of SARS-CoV-2-related events based on the characteristic of whole-body multi-systemic scan and functional imaging diagnosis. In this paper, the application of 18F-FDG PET in COVID-19 diagnosis, prognostic evaluation and long-term sequelae evaluation, and clinical performance of 18F-FDG PET after COVID-19 vaccine are summarized on the basis of literature research and clinical reports analysis. Furthermore, the application and development direction of other new molecular probes for nuclear medicine in COVID-19 are prospected.
ABSTRACT
Objective:To investigate the value of machine learning model based on 18F-FDG PET/CT radiomics features in preoperative differential diagnosis of gastric cancer (GC) and primary gastric lymphoma (PGL). Methods:A total of 155 patients with GC (104 males, 51 females; age (59.3±12.8) years) and 82 patients with PGL (40 males, 42 females; age (56.8±14.6) years) who underwent 18F-FDG PET/CT imaging before treatment from January 2012 to December 2020 in Tianjin Medical University Cancer Institute and Hospital were included in this retrospective study. Patients were randomly divided into training set and test set by using Python3.7.1 software. Volumes of interest (VOIs) in PET and CT images were drawn and two-dimensional and three-dimensional radiomics features were extracted. Two machine learning models, including multi-layer perceptron (MLP) and support vector machine (SVM), were established based on CT radiomics features alone, PET radiomics features alone and PET/CT radiomics features to differentiate GC and PGL, respectively. The predictive performance of each model was evaluated by ROC curve analysis. Results:There were 166 patients in training set and 71 patients in test set. Generally, SVM machine learning model based on PET/CT radiomics features showed a trend to be superior to MLP machine learning model in the differential diagnosis of GC and PGL (PET-SVM: AUC=0.88, 95% CI: 0.83-0.94); PET/CT-MLP: AUC=0.80, 95% CI: 0.73-0.87; z=1.15, P=0.337). The AUC of PET/CT-SVM machine learning model was significantly higher than that of CT-SVM machine learning model (CT-SVM: AUC=0.74, 95% CI: 0.67-0.81; z=2.28, P=0.022). Conclusion:Machine learning model based on 18F-FDG PET/CT radiomics features is expected to be a non-invasive, effective tool for preoperative differential diagnosis of GC and PGL.
ABSTRACT
Objective:To assess the predictive efficacy of 18F-FDG PET/CT-based radiomics models for the mutation status of Kirsten rats sarcoma viral oncogene homolog (KRAS) in patients with non-small cell lung cancer (NSCLC). Methods:From January 2016 to January 2021, the 18F-FDG PET/CT images and KRAS testing of 258 NSCLC patients (180 males, 78 females; age: 33-91 years) in the First Affiliated Hospital of the Air Force Military Medical University were retrospectively analyzed. Patients were randomly divided into training set ( n=180) and validation set ( n=78) in the ratio of 7∶3. Tumor lesions on PET and CT images were drawn respectively, and the radiomics features of PET and CT lesions were extracted. The radiomics features were screened by least absolute shrinkage and selection operator (LASSO). CT radiomics score (RS) model, PET/CT RS model and composite models of PET/CT RS combined with screened clinical information were eventually developed. ROC curves were used to assess the predictive efficacy of these models. Results:The CT RS model included 4 radiomics features and the PET/CT RS model included 4 CT radiomics features and 8 PET radiomics features. The CT RS model and the PET/CT RS model both had significant differences in RS between KRAS mutant and wild-type patients in the training set and validation set ( z values: from -8.30 to -4.10, all P<0.001). In predicting KRAS mutations, the composite model of PET/CT RS combined with age showed AUCs of 0.879 and 0.852 in the training and validation sets respectively, which were higher than those of the CT RS model (0.813 and 0.770) and the PET/CT RS model (0.858 and 0.834). The accuracy of the composite model of PET/CT RS combined with age were 81.67%(147/180) and 79.49%(62/78) in the training set and validation set respectively, which were also higher than those of the CT RS model (75.00%(135/180) and 74.36%(58/78)) and the PET/CT RS model (78.89%(142/180) and 78.21%(61/78)). Conclusion:Models based on radiomics features can predict KRAS gene mutation status, and the composite model combining PET/CT RS and age can improve the prediction performance.
ABSTRACT
Objective:To explore the value of 18F-FDG PET/CT combined with pro-gastrin-releasing peptide (ProGRP) and neuron-specific enolase (NSE) in diagnosis and differential diagnosis of stageⅠA small cell lung cancer (SCLC). Methods:From June 2017 to October 2021, 113 patients (75 males, 38 females; age 32-79 years) with stageⅠA lung cancer (70 with adenocarcinoma, 25 with squamous cell carcinoma, 18 with SCLC; patients with adenocarcinoma and squamous cell carcinoma were combined into non-SCLC (NSCLC) group) and 30 patients with benign pulmonary nodule (21 males, 9 females; age 37-77 years) from the Affiliated Qingdao Central Hospital of Qingdao University were retrospectively analyzed. All patients were examined by 18F-FDG PET/CT and serum tumor markers associated with lung cancer. Differences of the clinical, imaging and tumor markers data among different groups were analyzed by χ2 test, Fisher exact test and Kruskal-Wallis rank sum test. Independent risk factors were analyzed by logistic regression analysis and ROC curve analysis was used to analyze the value of different predictive factors in diagnosis and differential diagnosis of SCLC. Results:There were significant differences in SUV max, lobulation sign, spiculation sign, calcification, pleural traction sign, ProGRP, NSE and carcinoembryonic antigen (CEA) among SCLC, NSCLC and benign nodules groups ( H values: 14.06-20.54, χ2 values: 8.16-14.95, all P<0.05), in which lobulation sign of SCLC was more than that of benign nodules (12/18 vs 26.7%(8/30); χ2=7.41, P=0.007), spiculation sign (2/18 vs 51.6%(49/95); χ2=10.01, P=0.002) and pleural traction sign (1/18 vs 35.8%(34/95); χ2=6.47, P=0.011) were less than those of NSCLC, SUV max was higher than that of benign nodules (7.4(5.8, 9.0) vs 2.3(1.4, 5.1); H=51.82, P<0.001), ProGRP was higher than that of NSCLC and benign nodules (64.0(40.1, 84.8) vs 38.7(26.9, 47.6), 36.7(29.1, 40.5) ng/L; H values: 36.13, 43.96, P values: 0.002, 0.001) and NSE was higher than that of benign nodules (12.4(10.9, 14.5) vs 7.4(5.4, 11.8) μg/L; H=40.53, P=0.001). When differentiated SCLC from NSCLC, spiculation sign (odds ratio ( OR)=0.043, 95% CI: 0.004-0.450, P=0.009) and ProGRP ( OR=1.083, 95% CI: 1.035-1.133, P<0.001) were independent risk factors for SCLC, and the AUC of the two factors combination was 0.875, with the sensitivity and specificity of 14/18 and 84.2%(80/95). When differentiated SCLC from benign nodules, SUV max( OR=2.706, 95% CI: 1.099-6.662, P=0.030), ProGRP ( OR=1.165, 95% CI: 1.009-1.344, P=0.038) and NSE ( OR=1.639, 95% CI: 1.016-2.645, P=0.043) were independent risk factors for SCLC, and the AUC of the three factors combination was 0.985, with the sensitivity and specificity of 17/18 and 96.7%(29/30). Conclusion:18F-FDG PET/CT combined with tumor markers ProGRP and NSE is helpful to improve the diagnosis and differential diagnosis of stage ⅠA SCLC.
ABSTRACT
Objective:To explore the uptake characteristics and temporal changes of 68Ga-fibroblast activation protein inhibitors (FAPIs) and 18F-FDG in the anastomotic site of reconstructed digestive tracts after radical surgery for gastrointestinal adenocarcinoma. Methods:A cohort of 43 patients (28 males, 15 females; age range 28-79 years) who underwent radical surgery for gastrointestinal adenocarcinoma and underwent 18F-FDG PET/CT follow-up between November 2020 and June 2022 in the First Affiliated Hospital of the Air Force Medical University was prospectively included. One week after the 18F-FDG PET/CT examination, 68Ga-FAPI-04 PET/CT imaging was performed. ROIs were drawn on the PET images at the highest uptake level of anastomotic sites of reconstructed digestive tract and abdominal wall incisions, and SUV max and target-to-background ratio (TBR) were determined. χ2 test, one-way analysis of variance, Kruskal-Wallis rank sum test (Bonferroni correction) and Wilcoxon signed-rank test were supplied. Results:There were 86 surgical wounds (13 gastric-intestinal anastomotic sites, 14 esophagus-intestinal anastomotic sites, 16 intestinal-intestinal anastomotic sites, and 43 abdominal wall incisions) included. In 68Ga-FAPI-04 PET imaging, SUV max of gastric-intestinal anastomotic sites was higher than that of abdominal wall incisions, with a statistically significant difference (adjusted P=0.014). The TBR did not show statistically significant differences among different types of surgical wounds ( H=3.88, P=0.275). In 18F-FDG PET imaging, SUV max of gastric-intestinal, esophagus-intestinal, and intestinal-intestinal anastomotic sites were all higher than that of abdominal wall incisions, with statistically significant differences (adjusted all P<0.001). There were no statistically significant differences in TBR among different types of surgical wounds ( H=3.02, P=0.388). In 68Ga-FAPI-04 PET imaging, the TBR of all types of anastomotic sites exhibited a decreasing trend with increasing postoperative time. Except for intestinal-intestinal anastomotic sites, the differences in TBR between < 0.5-year and ≥ 1.5-year groups were statistically significant for other types of surgical wounds (adjusted P<0.05). In 18F-FDG PET imaging, the TBR of abdominal wall incisions showed a decreasing trend with increasing postoperative time. However, the TBR of other types of surgical wounds did not show a decreasing trend, and the differences in TBR among different time groups were not statistically significant ( H values: 0.53-2.75, P values: 0.252-0.768). In comparing the two PET imaging agents, for all surgical wounds within the <0.5-year and 0.5-1.5-year groups, the 68Ga-FAPI-04 TBR was consistently higher than the 18F-FDG TBR ( z values: -3.17 and -2.55, P values: 0.002 and 0.011). However, in the ≥1.5-year group, the TBR values tended to be consistent, and the differences were not statistically significant ( z=-0.70, P=0.485). Conclusions:The 18F-FDG uptake in the anastomotic sites of reconstructed digestive tracts reaches a low level under half a year after surgery and does not significantly change over time, while the 68Ga-FAPIs uptake remains relatively high within the first 1.5 years after surgery but decreases over time. These patterns suggest that clinical attention should be paid to the differential diagnosis of anastomotic inflammation or fibrosis, which resulting in agent uptake and local tumor recurrence.
ABSTRACT
Objective:To investigate the clinical utility of 68Ga-labeled fibroblast activation protein inhibitor (FAPI) PET/CT in the detection of primary and metastatic gastric signet-ring cell carcinoma (GSRCC) and compared the results with those of 18F-FDG PET/CT. Methods:A total of 21 patients (10 males, 11 females, average age 52 years) with primary and metastatic GSRCC who underwent 68Ga-FAPI and 18F-FDG PET/CT at the First Affiliated Hospital of Xiamen University from June 2020 to May 2022 were retrospectively analyzed. Pathological results of surgery and (or) biopsy were used as the " gold standard" for final diagnosis. In cases whose surgery or tissue biopsies were not available, clinical and radiographic follow-up results were used as the reference standards. Wilcoxon signed-rank test was used to compare the SUV max of 18F-FDG and 68Ga-FAPI. McNemar χ2 test was used to compare the detection rate between 18F-FDG and 68Ga-FAPI PET/CT. Results:68Ga-FAPI PET/CT showed higher SUV max than 18F-FDG in primary tumors (5.3(2.4, 15.7) vs 2.4(1.8, 2.5); z=2.31, P=0.021), local recurrences (7.8(6.0, 8.9) vs 2.4(1.9, 3.4); z=2.20, P=0.028), lymph nodes metastases (7.7(4.5, 12.2) vs 2.4(1.9, 3.6); z=6.01, P<0.001) and bone/visceral metastases (6.7(5.3, 11.1) vs 2.4(2.0, 3.4); z=11.36, P<0.001). Regarding diagnostic accuracy, 68Ga-FAPI PET/CT showed higher sensitivities than 18F-FDG for primary tumors (7/9 vs 2/9; χ2=3.20, P=0.063) and local recurrences (7/7 vs 2/7; χ2=3.20, P=0.063). It also demonstrated higher lesion detection rates than 18F-FDG for suspicious lymph node metastases (86%(65/76) vs 32%(24/76); χ2=31.37, P<0.001) and bone/visceral metastases (99%(184/185) vs 39%(73/185); χ2=107.08, P<0.001). Conclusions:68Ga-FAPI PET/CT showed higher tumor uptake and lesion detection rate than 18F-FDG in the primary and metastatic GSRCC. 68Ga-FAPI PET/CT demonstrates good diagnostic performance for tumor detection, staging, and restaging of GSRCC, which is helpful to further guide clinical treatment strategy.
ABSTRACT
Objective:To investigate the prognostic value of metabolic tumor volume (MTV) and total lesion glycolysis (TLG) in patients with extensive-stage small cell lung cancer (ES-SCLC).Methods:From March 2019 to June 2020, 69 patients (55 males, 14 females, age: 38-87 years) with ES-SCLC who underwent pretreatment 18F-FDG PET/CT in First Affiliated Hospital of Zhengzhou University were retrospectively enrolled. The variables including gender, age, smoking, weight loss, liver metastasis, bone metastasis, malignant effusion, SUV max of the primary tumor, whole-body MTV (wbMTV) and whole-body TLG (wbTLG) (including wbMTV 40%, wbTLG 40%, wbMTV 2.5 and wbTLG 2.5) were analyzed. The predictors of overall survival (OS) were analyzed by using Kaplan-Meier method (log-rank test). Results:Of 69 ES-SCLC patients, 43(62%) died and 26(38%) were still alive by the end of follow-up, with a median survival time of 15.0(95% CI: 11.7-18.3) months. Univariate analysis revealed that age ( χ2=4.53, P=0.033), bone metastasis ( χ2=18.05, P<0.001), liver metastasis ( χ2=27.94, P<0.001), wbMTV 2.5 ( χ2=3.98, P=0.046), and wbTLG 2.5( χ2=5.80, P=0.016) were significant predictors of OS. Conclusion:wbMTV 2.5 and wbTLG 2.5 are assosciated with OS and may provide some reference value for predicting the prognosis of ES-SCLC patients.
ABSTRACT
Objective:To explore the prognostic value of 18F-FDG PET-based radiomics features by machine learning in older patients(≥60 years) with diffuse large B-cell lymphoma (DLBCL). Methods:A total of 166 older patients (88 males, 78 females, age: 60-93 years) with DLBCL who underwent pre-therapy 18F-FDG PET/CT from March 2011 to November 2019 were enrolled in the retrospective study. There were 115 patients in training cohort and 51 patients in validation cohort. The lesions in PET images were manually drawn and the obtained radiomics features from patients in training cohort were selected by the least absolute shrinkage and selection operator (LASSO), random forest (RF), and extreme gradient boosting (Xgboost), and then classified by support vector machine (SVM) to build radiomics signatures (RS) for predicting overall survival (OS). A multi-parameter model was constructed by using Cox proportional hazard model and assessed by concordance index (C-index). Results:A total of 1 421 PET radiomics features were extracted and 10 features were selected to build RS. The univariate Cox regression analysis showed that RS was a predictor of OS (hazard ratio ( HR)=5.685, 95% CI: 2.955-10.939; P<0.001). The multi-parameter model that incorporated RS, metabolic metrics, and clinical risk factors, exhibited significant prognostic superiority over the clinical model, PET-based model, and the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) in terms of OS (training cohort: C-index: 0.752 vs 0.737 vs 0.739 vs 0.688; validation cohort: C-index: 0.845 vs 0.798 vs 0.844 vs 0.775). Conclusions:RS can be used as a survival predictor for older patients(≥60 years) with DLBCL. Furthermore, the multi-parameter model incorporating RS is able to successfully predict prognosis.
ABSTRACT
Objective:To investigate the prognostic value of metabolic parameters measured by 18F-FDG PET/CT in patients with primary advanced cutaneous malignant melanoma (CMM). Methods:A retrospective analysis was comprised of 42 patients with advanced CMM (15 males and 27 females; median age: 60.0 years) from Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School between June 2014 and December 2019. All patients were initially diagnosed by pathology, and underwent 18F-FDG PET/CT imaging. 18F-FDG PET/CT parameters including SUV max, SUV mean, total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) of metastatic lesions were measured. ROC curve analysis was performed to obtain the optimal cut-off values of those metabolic parameters for predicting progression-free survival (PFS) and over-all survival (OS). Patients were divided into different groups based on their metabolic parameters (≥cut-off values or <cut-off values), and Kaplan-Meier survival curve and log-rank test were used to analyze the OS/PFS differences between 2 groups. The independent prognostic risk factors of PFS and OS were screened by univariate analysis and Cox proportional risk model. Results:The median follow-up time of 42 patients with advanced CMM was 26.3 months, with 32 patients suffered from disease progression and 21 patients died, and the median survival was 33.1 months. The optimal cut-off values for PFS/OS were 4.63/4.77 for SUV max, 3.31/3.31 for SUV mean, 8.22 cm 3/22.32 cm 3 for TMTV, and 18.22 g/51.37 g for TLG, respectively. Kaplan-Meier analysis and log-rank test showed that patients with SUV max ≥4.63 or SUV mean ≥3.31 suffered from poorer PFS ( χ2 values: 7.12, 5.42, P values: 0.008, 0.020), meanwhile, patients with SUV max ≥4.77 or TMTV≥22.32 cm 3 or TLG≥51.37 g suffered from poorer OS ( χ2 value: 4.73, 5.60, 6.31, P values: 0.030, 0.018, 0.012). Multivariate analysis demonstrated that SUV max was significant predictor for both PFS (hazard risk ( HR)=3.03(95% CI: 1.23-7.45), P=0.016) and OS ( HR=3.62(95% CI: 1.19-11.00), P=0.023), while TMTV and TLG were significant predictors for OS ( HR: 2.87(95% CI: 1.20-6.87), 3.34(95% CI: 1.39-8.05); P values: 0.018, 0.007). Conclusions:Baseline 18F-FDG PET/CT metabolic parameters have certain value in prediction of prognosis in patients with advanced CMM. SUV max of metastatic lesions is an independent prognostic risk factor for both PFS and OS, and TMTV and TLG are independent prognostic risk factors for OS in patients with advanced CMM.
ABSTRACT
Objective:To explore the added value of T 1-weighted stack-of-stars volumetric interpolated body examination (StarVIBE) sequence on PET/MR image quality. Methods:A retrospective analysis was performed on 60 patients (42 males, 18 females; age 11-86 (58±12) years) who underwent 18F-FDG PET/MR examination and with positive PET results in Ruijin Hospital, Shanghai Jiao Tong University School of Medicine from April 2020 to April 2021. All patients completed StarVIBE sequence collection, and volumetric interpolated body examination (VIBE) sequence was used as control. StarVIBE and VIBE sequence images were evaluated independently using five-point method by two physicians. The evaluation was carried out from six aspects: lesion display, lesion boundary display, vascular around lesions display, fusion level with PET image, image artifact and overall image quality. Wilcoxon signed rank test was used to compare the image quality of the two sequences, and Kappa test was performed to assess the consistency of the image quality scores between the two physicians. Results:There were 26 cases with cervical lesions, 14 cases with chest lesions, 7 cases with abdomen lesions and 13 cases with pelvic lesions. The scores of lesion display (4.0(3.8, 4.5) vs 3.5(3.0, 4.0)), lesion boundary display (4.0(4.0, 4.0) vs 3.0(3.0, 3.5)), vascular around lesions display (5.0(4.0, 5.0) vs 4.0(3.5, 4.5)), fusion level with PET image (5.0(5.0, 5.0) vs 4.5(4.0, 5.0)), image artifact (4.5(4.0, 5.0) vs 4.5(4.0, 5.0)) and overall image quality (5.0(4.0, 5.0) vs 4.0(4.0, 4.0)) of StarVIBE sequences were better than those of VIBE sequences ( z values: 3.77-6.54, all P<0.001). On the vascular around the lesions display, the scores of StarVIBE were significantly better than those of VIBE sequence in the neck (5.0(4.5, 5.0) vs 3.0(2.7, 3.5); z=4.49, P<0.001) and chest (4.5(4.3, 4.7) vs 4.0(3.6, 4.3); z=3.10, P=0.002). As for image quality, the scores of StarVIBE were also significantly better than those of VIBE in neck (5.0(4.5, 5.0) vs 4.0(3.7, 4.5); z=4.36, P<0.001) and chest (5.0(5.0, 5.0) vs 4.0(4.0, 4.5); z=3.02, P=0.003). In abdominal lesions, the score of StarVIBE was higher than that of VIBE in blood vessels (4.5(3.5, 5.0) vs 4.0(3.5, 4.5); z=2.07, P=0.038), and there was no difference between score of overall image quality (4.0(3.7, 4.5) vs 4.0(3.5, 4.5); z=0.27, P=0.785). The score of overall image quality of pelvic StarVIBE sequence was better than that of VIBE sequence (5.0(4.5, 5.0) vs 4.0(4.0, 4.5); z=2.12, P=0.034). Kappa value of image quality score between two physicians was 0.554, indicating moderate consistency. Conclusion:In whole-body PET/MR imaging, StarVIBE sequence can significantly improve the image quality of cervical, thoracic and pelvic lesions when comparing with VIBE sequence.
ABSTRACT
Objective:To evaluate the value of radiomic fusion features combined with extreme gradient boosting (XGBoost) machine learning models based on 18F-FDG PET/CT images in the prediction of human epidermal growth factor receptor 2 (HER2) expression status in breast cancer. Methods:18F-FDG PET/CT images of 210 patients with primary breast cancer (all females; age 52(46, 60) years; 95 HER2-positive and 115 HER2-negative) in Tianjin Medical University Cancer Institute and Hospital between January 2012 and December 2019 were retrospectively analyzed. About 70% of the HER2-positive and HER2-negative groups were randomly selected using Python 3.7.1 software as a training set ( n=147; 67 HER2-positive and 80 HER2-negative, age: 52(46, 60) years vs 55(45, 62) years) and 30% as a test set ( n=63; 28 HER2-positive and 35 HER2-negative, age: 54(43, 65) years vs 52(45, 61) years). After tumor segmentation on CT and PET images being finished, CT and PET radiomic features were extracted respectively. PET/CT fusion features (including PET/CT splicing features and PET/CT mean features) were obtained through post-processing. The support vector machine (SVM) model and XGBoost model were established. The selected features were input to predict the expression status of HER2 in primary breast cancer lesions, and the prediction efficiency of the model was evaluated by ROC curve. The Delong test was used to compare the predictive effectiveness of different models and radiomic features, and the calibration curve of the machine learning model with the highest prediction efficiency was plotted. Results:Compared with SVM model, XGBoost model had better prediction performance ( z values: 2.26-3.54, P values: 0.016-0.040) when four kinds of radiomic features (CT features, PET features, PET/CT splicing features and PET/CT mean features) were input. ROC curve analysis showed that PET/CT mean features with XGBoost machine learning model had the best performance in predicting the expression status of HER2, and the maximum AUC was 0.83 (95% CI: 0.73-0.93), which was superior to CT features (0.75(95% CI: 0.63-0.88); z=3.57, P=0.027), PET features (0.73(95% CI: 0.60-0.86); z=2.64, P=0.034) and PET/CT splicing features (0.74(95% CI: 0.60-0.87); z=2.49, P=0.037). Conclusion:XGBoost machine learning model based on PET/CT radiomics fusion features is expected to predict HER2 expression status in patients with breast cancer.
ABSTRACT
Objective:To investigate the predictive values of 18F-FDG PET/CT image feature and metabolic parameters for the malignant potential of gastrointestinal stromal tumor (GIST). Methods:From March 2014 to June 2020, the 18F-FDG PET/CT imaging and surgical pathological data of 35 patients with GIST (27 males, 8 females; age 44-84 years) from Union Hospital, Tongji Medical College, Huazhong University of Science and Technology and Zhongnan Hospital of Wuhan University were analyzed retrospectively. Patients were divided into ring-shaped uptake group and other uptake patterns group according to 18F-FDG PET/CT image feature. Fisher′s exact test was used to analyze the differences of tumor necrosis and National Institutes of Health (NIH) risk classification (short for NIH classification) between different image feature groups. Mann-Whitney U test was used to analyze the differences of SUV max , metabolic parameters at different thresholds (2.5, 40%, 50%) of SUV max (metabolic tumor volume (MTV; MTV 2.5, MTV 40%, MTV 50%) and total lesion glycolysis (TLG; TLG 2.5, TLG 40%, TLG 50%)) between different clinicopathological features (lesion location, tumor diameter, mitotic count, Ki-67, necrosis, image feature, NIH classification) groups. Spearman rank correlation analysis was used to explore the correlation between clinicopathological features and metabolic parameters. ROC curve analysis was used to distinguish NIH classification of different metabolic parameters. Delong test was used to compared differences between different AUCs. Results:Of 35 GIST patients, 11(31.4%) were ring-shaped uptake and 24(68.6%) were other uptake patterns, and the differences of necrosis (7/11 vs 12.5%(3/24); P=0.004) and NIH classification (11/11 vs 25.0%(6/24); P<0.001) between the two groups were significant. There were significant differences of metabolic parameters between different groups of tumor diameter, mitotic count, necrosis, image feature, NIH classification ( z values: from -4.70 to -2.09, all P<0.05), while there were no significant differences of Ki-67 ( z values: from -0.83 to -0.71, all P>0.05). Metabolic parameters were correlated with mitotic count, tumor diameter, necrosis, image feature and NIH classification ( rs values: 0.36-0.81, all P<0.05), while was not correlated with Ki-67 ( rs values: 0.12-0.14, all P>0.05). The differences of AUCs between SUV max and MTV 2.5, TLG 2.5, TLG 40%, TLG 50%were significant (0.752, 0.856, 0.856, 0.882, 0.886; z values: 1.96-2.12, all P<0.05). Conclusions:The NIH classification of GIST with ring-shaped uptake on 18F-FDG PET/CT is higher and more prone to necrosis. The 18F-FDG PET/CT metabolic parameters based on different thresholds of SUV max have certain significance for the prediction of NIH classification of GIST, and may be superior to SUV max.