ObjectiveTo systematically review the efficacy and safety of different tyrosine kinase inhibitors (TKIs) in the treatment of chronic myelocytic leukemia (CML).MethodsPubMed, EMbase, The Cochrane Library, CBM, WanFang Data and CNKI databases were electronically searched to collect randomized controlled trials (RCTs) of nilotinib, dasatinib, flumatinib and imatinib for CML from inception to August, 2020. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies; network meta-analysis was then performed using Stata 15.0 software and R 3.4.0 software.ResultsA total of 8 RCTs involving 2 775 patients were included. Compared with other TKIs, flumatinib had higher 3-month early molecular response and 1-year progression free survival, and the incidence of serious side effects was relatively low. Major molecular response and complete cytogenetic response were significantly superior to imatinib, and had the same or similar effects to other second-generation TKIs.ConclusionsCurrent evidence shows that flumartinib in the treatment of CML is obviously superior to imatinib, has the same or similar effect with other second generation TKIs. Due to limited quality and quantity of the included studies, more high quality studies are needed to verify above conclusions.
ObjectiveTo analyze the incidence and drainage pattern of the specific collateral vein (VL) located between several adjacent segments of the bilateral upper lung, and its clinical significance in the surgical treatment of early lung cancer. MethodsThe preoperative three-dimensional computed tomography bronchography and angiography (3D CTBA) data of 1 515 patients in the First Affiliated Hospital of Nanjing Medical University from 2017 to 2020 were analyzed retrospectively, including 524 males and 991 females, with an average age of 54.27±11.43 years. There were 712 patients of right upper lung and 803 patients of left upper lung. The incidence and drainage pattern of VL in bilateral upper lungs were analyzed. Furthermore, the imaging data and medical records of 113 patients in the left upper lung were reviewed to investigate the influence of the relative position relationship between nodules and VL on the selection of operation. ResultsThe overall incidence of VL was 72.7% (1102/1 515) in the bilateral upper lungs, including 68.0% (484/712) in the right upper lung, and 77.0% (618/803) in the left upper lung. The incidence of VL in the left side was significantly higher than that in the right side (P＜0. 05). VL mainly drained into V2a+b (327/484, 67.6%) in the right upper lung and into V1+2b+c (389/618, 62.9%) in the left upper lung. When the spherical simulative cutting margin of 2 cm of the nodule did not involve VL, it was more feasible to undergo sublobectomy than those whose simulative cutting margin of 2 cm involved VL, and the difference was statistically significant (91.9% vs. 61.5%, P＜0.05). When the spherical simulative cutting margin of 2 cm of nodule involved VL, the lesion located in the middle or inner zone was more feasible to undergo lobectomy than that in the outer zone, but the difference was not statistically significant (43.8% vs. 34.8%, P＞0.05). Multivariate logistic regression analysis showed that diameter of the lesion, whether the spherical simulative margin of 2 cm involving VL and the depth ratio of the lesion were independent risk factors affecting the surgical options (P<0.05). ConclusionThe incidence of the specific collateral vein in bilateral upper lungs is high, and the drainage pattern is diverse, which has important guiding significance for preoperative planning and intraoperative manipulation. For deep nodules adjacent to VL, lobectomy or resection of left upper division is often performed to ensure a safe margin.
Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. ConclusionThe model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.
ObjectiveTo analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. MethodsThe clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2＜BMI≤23 kg/m2), a group B (23 kg/m2＜BMI≤29 kg/m2) and a group C (BMI＞29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. ResultsA total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of 59.7±11.2 years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). ConclusionFor patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.