Objective To observe the multimodal image features of inflammatory lesions and choroidal neovascularization (CNV) in multifocal choroiditis (MFC). MethodsA retrospective clinical analysis. A total of 90 eyes of 46 patients with MFC diagnosed in the Department of Ophthalmology of Yunnan University Affiliated Hospital from May 2017 to April 2021 were included in the study. Among them, there were 21 males and 25 females; the average age was 38.30±8.97 years old. Twenty-nine cases of MFC were diagnosed in the past, and they visited the doctor again due to new symptoms; 17 cases without a clear past medical history were the first visits. All eyes underwent color fundus photography, fluorescein fundus angiography (FFA), optical coherence tomography (OCT), and OCT angiography (OCTA). With reference to the literature and the results of multimodal fundus imaging examinations, MFC lesions were divided into active CNV lesions, inactive CNV lesions, active inflammatory lesions, and inactive inflammatory lesions, with 31 (34.4%, 31/90), 12 (13.3%, 12/90), 26 (28.9%, 26/90), 90 (100.0%, 90/90) eyes. Nineteen eyes were treated with anti-vascular endothelial growth factor drugs. To summarize and analyze the manifestations of inflammatory lesions and CNV lesions in different imaging examinations. The Wilcoxon rank test was used to compare the detection rate of CNV lesions between FFA and OCTA. ResultsIn eyes with active inflammatory lesions and active CNV lesions, yellow-white lesions, retinal hemorrhage and exudation were seen on fundus color photography; FFA examination showed fluorescein leakage in the lesions; OCT examination showed retinal pigment epithelium (RPE) layer in the lesions was uplifted, the boundary was unclear, combined with subretinal and intraretinal fluid; OCTA examination showed that there was no blood flow signal in each layer of vascular tissue in active inflammatory lesions, and blood flow signals were seen in active CNV lesions. In the eyes of inactive inflammatory lesions and inactive CNV lesions, the fundus color photography showed that the lesions had clear boundaries without bleeding or exudation; FFA examination, the lesions were fluorescently stained, and there was no fluorescein leakage; OCT examination, inactive CNV lesions manifested as raised lesions with clear boundaries, and inactive inflammation manifested as scars formed by mild RPE hyperplasia or depressions in outer structures formed by atrophy; OCTA examination, inactive inflammatory lesions showed patchy loss of blood flow signal or penetrating blood flow signal below, blood flow signal can be seen in inactive CNV lesions. ConclusionMFC active inflammatory lesions and active CNV lesions are often accompanied by retinal hemorrhage and exudation; FFA shows fluorescein leakage; OCT shows that the boundary of raised lesions is unclear; OCTA can identify the nature of CNV or inflammatory lesions.
Hepatoid adenocarcinoma (HAC) of the pancreas is a rare, highly malignant tumor with poor prognosis. This article presents the CT and MR features of HAC of the pancreas, while also reviewing the relevant literatures to succinctly summarize the underlying pathophysiological mechanism, imaging diagnosis, and differential diagnosis. The objective is to enhance the understanding of HAC of the pancreas among clinicians and radiologists.
【摘要】 目的 總結甲型H1N1流感病毒性肺炎患者的胸部X線和CT表現特征。 方法 回顧分析2009年3月-11月3例經臨床表現及病原學檢查證實的甲型H1N1流感病毒性肺炎的胸部X線、CT表現。 結果 肺部病灶多呈散在小片狀高密度影，邊緣模糊，鄰近胸膜；病變最常累及肺基底段；病灶多有少量胸腔積液；病灶有擴散迅速，合理用藥后消失較快的特點；病灶吸收落后于臨床表現。 結論 甲型H1N1流感病毒性肺炎的X線、CT表現具有一定的特點，總結并掌握這些特點，有利于早期診斷。其確診有賴于實驗室檢查和流行病學調查。【Abstract】Objective To explore the chest X-ray, CT manifestations of pneumonia of patients with influenza virus A/H1N1 infection. Methods The pulmonary X-ray and CT findings of 3 patients who were confirmed by laboratory results and epidemiology with infection of influenza virus A/H1N1 were retrospectively analyzed between March 2009 to November 2009. Results Both sides of the lung field showed many small cloudy infiltration in chest X-ray and CT film. The lesions of the lung were mostly near the pleural. They were often found in basal segment. Pleural effusion may be observed. Radiology dynamic changes showed the diffusion of the lesions of the lung was quick in a short time, and scattered and disappeared quickly after rational use of drugs. The lesions vanished later than clinical disappearance. The lesions of the lung may appear fibrosis at the period of the end. Conclusion Some radiographic characteristics exist in the pneumonia of patients with influenza virus A/H1N1 infection. It will be helpful for early diagnosis when getting familiar with its X-ray and CT manifestations, but the final diagnosis depends on the laboratory results and epidemiological history.
ObjectiveTo observe the clinical and fundus imaging features of acute macular neuroretinopathy (AMN) associated with COVID-19. MethodsA retrospective case study. A total of 32 eyes of 18 patients diagnosed of AMN associated with COVID-19 at Chengdu Aidi Eye Hospital from December 2022 to February 2023 were included. All patients had a history of fever 1 to 5 days prior to ocular onset and tested positive for SARS CoV-2 antigen. All patients were examined by best-corrected visual acuity (BCVA), color fundus photography, scanning laser ophthalmoscope (SLO), infrared fundus photography (IR), and optical coherence tomography (OCT); OCT angiography, visual field and multifocal electroretinogram (mf-ERG) were performed in 6 patients (11 eyes), 3 patients (6 eyes) and 1 patient (2 eyes), respectively. Follow-up time was 8-10 weeks. The clinical and fundus imaging features were observed and analyzed.ResultsThere were 6 males (12 eyes) and 12 females (20 eyes), aged from 15 to 36 years, with the mean age of (28.00±5.86) years. Fourteen patients were bilateral and 4 patients were unilateral. The time from the onset of eye symptoms to seeing a doctor was ranged from 1 day to 8 weeks. Among them, 6 patients (10 eyes) visited the doctor within 3 days of onset, while 12 patients (22 eyes) visited the doctor after 3 days of onset. The BCVA was 0.80±0.29. Fundus color photography and SLO examination showed that only 2 patients (4 eyes) showed sheet or petal-like dark red lesions in the macular area, and no obvious abnormal changes were observed in other patients. No obvious abnormalities were found in AF examination of all patients. IR examination showed no significant abnormality in 6 cases which came to hospital within 3 days after the onset, but irregular hyporeflective dark shadow lesions in the macular region of patients with more than 3-day course of disease was observed. OCT examinations of all eyes showed hyperreflective band or patchy lesion on the outer plexiform layer (OPL) and outer nuclear layer (ONL) and affect the ellipsoid zone (EZ) and interdigitation zone (IZ). In 11 eyes of 6 patients undergoing OCTA examination, the blood flow density of the choroidal capillary layer in the focal area decreased. In 6 eyes of 3 patients who underwent visual field examination, the physiologic scotoma was slightly enlarged. One patient (2 eyes) receiving mf-ERG showed a concave reduction in macular center amplitude. The hyperreflective band lesion on OPL and ONL disappear rapidly within 2 weeks, while the continuity of EZ recovered slowly, and the disruption of IZ kept existing for more than 10 weeks. ConclusionsMost AMN associated with COVID-19 are young women; IR showed irregular weak reflex in the lesion area. OCT showed strong OPL and ONL reflection. OCTA was characterized by decreased blood flow density in the choroidal capillary layer of the focal area.
This study aims to predict expression of Ki67 molecular marker in pancreatic cystic neoplasm using radiomics. We firstly manually segmented tumor area in multi-detector computed tomography (MDCT) images. Then 409 high-throughput features were automatically extracted and the least absolute shrinkage selection operator (LASSO) regression model was used for feature selection. After 200 bootstrapping repetitions of LASSO, 20 most frequently selected features made up the optimal feature set. Then 200 bootstrapping repetitions of support vector machine (SVM) classifier with 10-fold cross-validation were used to avoid overfitting and accurately predict the Ki67 expression. The highest prediction accuracy could achieve 85.29% and the highest area under the receiver operating characteristic curve (AUC) was 91.54% with a sensitivity (SENS) of 81.88% and a specificity (SPEC) of 86.75%. According to the results of experiment, the feasibility of predicting expression of Ki67 in pancreatic cystic neoplasm based on radiomics was verified.
Objective To evaluate the clinical radiological features combined with circulating tumor cells (CTCs) in the diagnosis of invasiveness evaluation of subsolid nodules in lung cancers. Methods Clinical data of 296 patients from the First Hospital of Lanzhou University between February 2019 and February 2021 were retrospectively included. There were 130 males and 166 females with a median age of 62.00 years. Patients were randomly divided into a training set and an internal validation set with a ratio of 3 : 1 by random number table method. The patients were divided into two groups: a preinvasive lesion group (atypical adenomatoid hyperplasia and adenocarcinoma in situ) and an invasive lesion group (microinvasive adenocarcinoma and invasive adenocarcinoma). Independent risk factors were selected by regression analysis of training set and a Nomogram prediction model was constructed. The accuracy and consistency of the model were verified by the receiver operating characteristic curve and calibration curve respectively. Subgroup analysis was conducted on nodules with different diameters to further verify the performance of the model. Specific performance metrics, including sensitivity, specificity, positive predictive value, negative predictive value and accuracy at the threshold were calculated. Results Independent risk factors selected by regression analysis for subsolid nodules were age, CTCs level, nodular nature, lobulation and spiculation. The Nomogram prediction mode provided an area under the curve (AUC) of 0.914 (0.872, 0.956), outperforming clinical radiological features model AUC [0.856 (0.794, 0.917), P=0.003] and CTCs AUC [0.750 (0.675, 0.825), P=0.001] in training set. C-index was 0.914, 0.894 and corrected C-index was 0.902, 0.843 in training set and internal validation set, respectively. The AUC of the prediction model in training set was 0.902 (0.848, 0.955), 0.913 (0.860, 0.966) and 0.873 (0.730, 1.000) for nodule diameter of 5-20 mm, 10-20 mm and 21-30 mm, respectively. Conclusion The prediction model in this study has better diagnostic value, and is more effective in clinical diagnosis of diseases.
