ABSTRACT
Objective:To evaluate the clinical value of 18F-FDG PET/CT findings in patients with T1-2 lung adenocarcinoma spread through air spaces (STAS). Methods:From June 2018 to June 2020, a total of 80 patients (36 males, 44 females; age: 19-84 (59.9±11.8) years) with surgically and pathologically confirmed T1-2 lung adenocarcinomas in Jiangmen Central Hospital were enrolled retrospectively. All patients underwent 18F-FDG PET/CT examination preoperatively and were divided into STAS positive and negative groups according to the histopathological diagnosis. Independent-sample t test, Mann-Whitney U test, χ2 test and Fisher exact test were used to analyze differences of gender, age, tumor biomarker, SUV max, SUV mean, features showed on high resolution CT (HRCT; including diameter, lesion location, morphology, density, lobulated sharp, spiculated sign, vacuole sign, air bronchgram sign, pleural traction and para-emphysema), and pathologic findings (micropapillary pattern, lymphvascular inversion, pleural inversion and lymph node metastasis) between the two groups, and then multivariate logistic regression was performed. The ROC curve was employed to evaluate the predictive value of parameters for STAS of T1-2 lung adenocarcinomas. Results:Among the 80 patients with T1-2 lung adenocarcinomas, 12 (15.0%) were STAS positive and 68 (85.0%) were STAS negative. Significant differences were shown in SUV max, SUV mean, micropapillary pattern, lymphvascular inversion and lymph node metastasis between the two groups ( z values: -2.60, -2.17; χ2 values: 29.56, 9.28, 17.40, P<0.001 or P<0.05). SUV max (odds ratio ( OR): 1.348 (95% CI: 1.071-1.695), P=0.011), micropapillary pattern ( OR=47.444 (95% CI: 4.592-490.214), P=0.001) and lymph node metastasis ( OR=8.201 (95% CI: 1.129-59.576), P=0.038) were independent risk factors for STAS positive in multivariation logistic regression analysis. The optimum cut-off value for SUV max was 3.85 in the ROC analysis with the AUC of 0.737 (95% CI: 0.614-0.859), the sensitivity of 11/12, the specificity of 55.9%(38/68) and the accuracy of 61.2%(49/80). The AUC of the SUV max combined with micropapillary pattern and lymph node metastasis was 0.945 (95% CI: 0.892-0.999) with the sensitivity of 11/12, the specificity of 88.2%(60/68) and the accuracy of 88.7%(71/80). Conclusions:The PET/CT characteristics may be useful in differentiating STAS status among patients with T1-2 lung adenocarcinoma. SUV max >3.85, pathological papillary pattern and lymph node metastasis are independent risk factors to predict STAS.
ABSTRACT
Objective To investigate the diagnostic value of CT thin-section target reconstruction technique in patients with pulmonary small size groud glass nodules (sGGN).Methods A total of 109 patients with pulmonary sGGN certified post-operation and/or follow up were analyzed retrospectively,and the clinical and CT images of all patients were completely collected.There were 23 cases of benign group,21 cases of adenocarcinoma in situ group,29 cases of minimally invasive adenocarcinoma group and 36 cases of invasive adenocarcinoma group,respectively.The differential diagnostic value using CT thin-section target reconstruction technique was analyzed between the benign and malignant pulmonary sGGN groups,and the CT feature detection rates were compared between CT thin section target and common reconstruction techniques.Results The CT thin-section target reconstruction technique had improved the diagnostic efficiency of pulmonary sGGN.The diagnostic accuracy,area under curve(AUC),sensitivity and specificity were 85.32 ％,0.679,90.80 ％,63.64 ％ in malignant group and 77.06％,0.764,83.72％,52.17％ in benign pulmonary sGGN group,respectively.The CT features as solid component in whole nodule,"halo sign",speculation sign,pleural retraction sign,lobulation sign were more detected by using the thin-section target reconstruction technique than that by using the common reconstruction among adenocarcinoma in situ group,minimally invasive adenocarcinoma group and invasive adenocarcinoma group (P＜0.05) but not speculation sign in the invasive adenocarcinoma group(P=0.126).Conclusion The CT thin section target reconstruction technique can improve the diagnostic value of pulmonary sGGN.
ABSTRACT
Purpose To explore the 18F-FDG PET/CT imaging features of adrenal lymphoma and to improve the diagnosis of this disease.Materials and Methods A total of 13 cases with pathology-proven adrenal lymphoma and PET/CT examinationfrom December 2012 to March 2016 were retrospectively reviewed,The contents including the extent,shape,size and density of the adrenal lymphoma as well as the SUVmax value and affected lymph gland were recorded.The region of interesting (ROI) was delineated with the SUVmax value being calculated,which was compared with pathological diagnosis.Results All 13 cases were non-Hodgkins lymphoma,12 of which were secondary lymphoma,with the other case being primary lymphoma.Nine cases were diffuse large B-cell lymphoma (DLBCL);2 cases were mantle cell lymphoma;2 cases were NK/T-cell lymphoma.In 10 cases there were bilateral adrenal involvement,and unilateral involvement in 3 casesincluding on 2 the left and 1 on the right.A total of 23 adrenal glands were involved,with soft masses in 13,soft nodules in 8 and adrenal thickening in 2.The lesions were well-defined in 10 cases.In 3 cases there were cystic changes or necrosis.No hemorrhage,calcification or fat was identified.Extra-adrenal involvement was discovered in 9 cases.Lymphadenopathy was seen in 10 cases involving the neck,mediastinum and retroperitoneum.Adrenal lesions showed intense FDG uptake on PET/CT with SUVmax ranging from 5.7 to 30.8 and mean SUVmax of 15.8±8.9.Conclusion Most of the adrenal lymphoma cases were diffuse large B-cell non-Hodgkin's lymphoma.The features of PET/CT include bilateral involvement,well-defined soft tissue mass with intense FDG uptake.PET/CT can differentiate primary and secondary adrenal lymphoma and help with treatment planning.
ABSTRACT
This study examined the value of volume rendering (VR) interpretation in assessing the growth of pulmonary nodular ground-glass opacity (nGGO). A total of 47 nGGOs (average size, 9.5 mm; range, 5.7-20.6 mm) were observed by CT scanning at different time under identical parameter settings. The growth of nGGO was analyzed by three radiologists by comparing the thin slice (TS) CT images of initial and repeat scans with side-by-side cine mode. One week later synchronized VR images of the two scans were compared by side-by-side cine mode to evaluate the nGGO growth. The nodule growth was rated on a 5-degree scale: notable growth, slight growth, dubious growth, stagnant growth, shrinkage. Growth standard was defined as: Density increase ≥ 30 HU and (or) diameter increase (by 20% in nodules ≥10 mm, 30% in nodules of 5-9 mm). Receiver operating characteristic (ROC) was performed. The results showed that 32 nGGOs met the growth criteria (29 nGGOs showed an increase in density; 1 nGGO showed an increase in diameter; 2 nGGOs showed an increase in both diameter and density). Area under ROC curve revealed that the performance with VR interpretation was better than that with TS interpretation (P<0.01, P<0.05 and P<0.05 for observers A, B and C respectively). Consistency between different observers was excellent with both VR interpretation (κ=0.89 for observers A&C, A&B, B&C) and TS interpretation (κ=0.71 for A&B, κ=0.68 for A&C, κ= 0.74 for B&C), but time spending was less with VR interpretation than with TS interpretation (P<0.0001, P<0.0001 and P<0.05 for observers A, B and C, respectively). It was concluded that VR is a useful technique for evaluating the growth of nGGO.