CHOROIDAL NEVUS IMAGING FEATURES IN 3,806 CASES AND RISK FACTORS FOR TRANSFORMATION INTO MELANOMA IN 2,355 CASES

AimTo characterise combinations of multimodal imaging risk factors and predictive value for choroidal nevus transformation into melanoma.MethodsThis is a retrospective review of multimodal imaging features for 3806 choroidal nevi from 1 January 2007 through 1 January 2017. Kaplan-Meier estimates and Cox regression analyses were used to calculate 5-year percentages of growth to melanoma and HR.ResultsUsing multimodal imaging, six risk factors predictive of choroidal nevus transformation into melanoma were identified, namely tumour thickness >2 mm, subretinal fluid, symptoms of visual acuity loss to 20/50 or worse, orange pigment, hollow acoustic density and tumour largest basal diameter >5 mm. Kaplan-Meier 5-year estimated tumour growth was found in 1% of nevi with no risk factors, 11% (range 9%–37%) with one factor, 22% (12%–68%) with two factors, 34% (21%–100%) with three factors, 51% (0%–100%) with four factors and 55% (0%–100%) with five factors. HR for growth was 0.1 with no factor, 2.1–7.8 with one factor, 1.8–12.1 with two factors, 4.0–24.4 with three factors, 4.6–170.0 with four factors and 12.0–595.0 with five factors. The highest HR with each combination of two, three, four or five risk factors always included symptoms of visual acuity loss and orange pigment.ConclusionSix risk factors for choroidal nevus transformation into melanoma by multimodal imaging have been identified. Risk for transformation into melanoma is 1% when no factors are present, and approaches 100% with specific combinations of three or more risk factors. Understanding how combinations of factors influence risk of transformation into melanoma can guide counselling and treatment decisions.

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Semiautomated carotid artery plaque composition: are intraplaque CT imaging features associated with cardiovascular risk factors?

Neuroradiology ◽

10.1007/s00234-021-02662-6 ◽

2021 ◽

Author(s):

John C. Benson ◽

Giuseppe Lanzino ◽

Valentina Nardi ◽

Luis Savastano ◽

Amir Lerman ◽

...

Keyword(s):

Risk Factors ◽

Cardiovascular Risk ◽

Carotid Artery ◽

Cardiovascular Risk Factors ◽

Ct Imaging ◽

Imaging Features ◽

Plaque Composition ◽

Carotid Artery Plaque

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Risk factors for hyperperfusion-induced intracranial hemorrhage after carotid artery stenting in patients with symptomatic severe carotid stenosis evaluation

Journal of NeuroInterventional Surgery ◽

10.1136/neurintsurg-2018-013998 ◽

2018 ◽

Vol 11 (5) ◽

pp. 474-478 ◽

Cited By ~ 5

Author(s):

Lei Zhang ◽

Dongwei Dai ◽

Zifu Li ◽

Guoli Duan ◽

Yong-wei Zhang ◽

...

Keyword(s):

Risk Factors ◽

Carotid Artery ◽

Carotid Stenosis ◽

Intracranial Hemorrhage ◽

Carotid Artery Stenting ◽

Ct Perfusion ◽

Treatment Strategies ◽

Imaging Features ◽

Anterior Circulation ◽

Total Occlusion

BackgroundAnalyzing risk factors for hyperperfusion-induced intracranial hemorrhage (HICH) after carotid artery stenting (CAS) in patients with symptomatic severe carotid stenosis.MethodsThis study retrospectively analyzed clinical data of 210 patients, who had symptomatic severe carotid stenosis (70–99%) and received CAS treatment between June 2009 and June 2015, and evaluated the relationship of HICH with patients’ clinical baseline data, imaging features, and treatment strategies.ResultsSeven patients (3.3%) developed HICH after CAS. The incidence of HICH among patients with near total occlusion was significantly higher than among those without (10.1% vs 0%, P<0.001). Out of the seven, five had no development of either anterior or posterior circulations, and two had no development of anterior circulation and poor development of posterior circulation. Results showed that patients with poor compensation of Willis’ Circle were more likely to develop HICH compared with other patients (P<0.001). All patients received preoperative CT perfusion. TTP index was defined as the TTP ratio between the affected and contralateral side. The results showed that the TTP index was significantly different between the HICH group and non-HICH group (1.15±0.10 vs 1.30±0.15, P<0.001). An analysis of the ROC curve indicated that patients with TTP index >1.22 were more likely to develop HICH compared with other patients (sensitivity 100%, specificity 75.9%).ConclusionsPatients with severe unilateral carotid stenosis, the presence of near total occlusion, poor compensation of Willis’ Circle, and preoperative TTP index>1.22, have a higher risk of developing HICH after CAS.

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Abstract WP280: Barriers to the Early Management of Patients With Transient Ischemic Attack in Low and Middle Income Countries

Stroke ◽

10.1161/str.48.suppl_1.wp280 ◽

2017 ◽

Vol 48 (suppl_1) ◽

Author(s):

Fernanda J Teixeira ◽

Bernardo C Portal ◽

Gustavo H Tomasi ◽

Paula C Gasperin ◽

Viviane M Vedana ◽

...

Keyword(s):

Risk Factors ◽

Hospital Admission ◽

Average Length ◽

Specific Treatment ◽

Imaging Features ◽

Middle Income ◽

Early Management ◽

Middle Income Countries ◽

Imaging Characteristics ◽

Low And Middle Income

Background: Although much progress has been made in the acute ischemic stroke care in low- and middle-income countries (LMIC), there is a paucity of specific data on the early management of TIA patients. Patients with TIA present a substantial risk of stroke during the first few hours of symptom onset, when secondary prevention therapies should be urgently initiated. Therefore, hospital admission may offer some advantages for early management. Our aim was to evaluate the benefit of hospital admission of TIA patients in a LMIC. Methods: All TIA patients who arrived at our emergency room (ER) between March 2015 to March 2016 were admitted to the hospital. All patients were submitted to the following diagnostic protocol: brain imaging, intra and extracranial vascular imaging, echocardiography (TT and or TEE) and ECG. Baseline, imaging characteristics and early outcome were analyzed. Results: Among 845 consecutive stroke patients evaluated at our ER, 12.8% were diagnosed as TIA. Although vascular risk factors and presentation with weakness or speech disturbances were frequent findings among our TIA patients, only 1 in 5 patients (17.4%) required specific treatment (anticoagulation or carotid revascularization). In addition, half of our patients were classified as cryptogenic TIA. The average length of stay was 7.03 and there were no in-hospital stroke or death. We did not detect significant differences in demographics, risk factors and imaging features between patients that received standard vs. specific treatment. Conclusions: Many TIA patients with mild symptoms may not have reached our ER and among those who were evaluated some may not have required hospital admission. Clustering of risk factors among TIA patients may not be a variable helpful to identify high-risk patients in LMIC. A 24/7 emergency TIA clinic may be an option to improve urgent treatment and reduce acute care cost.

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Abstract WMP71: Moyamoya-atherosclerosis Syndrome: Clinical and High-resolution Magnetic Resonance Imaging Features

Stroke ◽

10.1161/str.48.suppl_1.wmp71 ◽

2017 ◽

Vol 48 (suppl_1) ◽

Author(s):

Lian Duan ◽

Wei-Hai Xu ◽

Cong Han

Keyword(s):

Magnetic Resonance Imaging ◽

Risk Factors ◽

Magnetic Resonance ◽

High Resolution ◽

Moyamoya Disease ◽

Treatment Strategies ◽

Diagnostic Process ◽

Imaging Features ◽

Intracranial Atherosclerosis ◽

Resonance Imaging

Introduction: The diagnosis in the patients with angiographic moyamoya findings and atherogenic risk factors is challenging. In this study, we try to incorporate high-resolution magnetic resonance imaging (HRMRI) into the diagnostic process of intracranial atherosclerosis associated moyamoya syndrome. Methods: From March 2013 to March 2014, HRMRI was consecutively performed on adult patients with angiographic moyamoya. The patients were classified as moyamoya - plaques (MMD-P) if a plaque could be identified or as moyamoya - no plaques (MMD-NP) if a plaque could not be identified. The angiography, HRMRI findings and atherogenic risk factors of these patients were analyzed. Results: Fifty-one patients (mean age 39±9, 20 males) were enrolled. On traditional angiography, probable intracranial atherosclerosis was identified in 5 patients, no definite diagnosis in 12 patients, and moyamoya disease in 34 patients. On HRMRI, 15 out of 32 patients with risk factors and 4 out of 19 patients without risk factors were found to have plaques and were diagnosed as MMD-P, while the other 32 patients were diagnosed as MMD-NP. The MMD-P patients were more likely to be older and male and were less likely to have cerebral hemorrhage and a history of disease progression. Conclusions: Our study suggests that HRMRI can help diagnose intracranial atherosclerosis more accurately in moyamoya disease patients with atherogenic risk factors. The distinct clinical features between MMD-P and MMD-NP patients suggest different underlying pathophysiology and therefore potentially different treatment strategies.

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Multiparameter MRI Radiomics Model Predicts Preoperative Peritoneal Carcinomatosis in Ovarian Cancer

Frontiers in Oncology ◽

10.3389/fonc.2021.765652 ◽

2021 ◽

Vol 11 ◽

Author(s):

Xiao Yu Yu ◽

Jialiang Ren ◽

Yushan Jia ◽

Hui Wu ◽

Guangming Niu ◽

...

Keyword(s):

Risk Factors ◽

Ovarian Cancer ◽

Peritoneal Carcinomatosis ◽

Calibration Curve ◽

Predictive Accuracy ◽

Characteristic Curve ◽

Curve Analysis ◽

Imaging Features ◽

Decision Curve Analysis ◽

Dce Mri

ObjectivesTo evaluate the predictive value of radiomics features based on multiparameter magnetic resonance imaging (MP-MRI) for peritoneal carcinomatosis (PC) in patients with ovarian cancer (OC).MethodsA total of 86 patients with epithelial OC were included in this retrospective study. All patients underwent FS-T2WI, DWI, and DCE-MRI scans, followed by total hysterectomy plus omentectomy. Quantitative imaging features were extracted from preoperative FS-T2WI, DWI, and DCE-MRI images, and feature screening was performed using a minimum redundancy maximum correlation (mRMR) and least absolute shrinkage selection operator (LASSO) methods. Four radiomics models were constructed based on three MRI sequences. Then, combined with radiomics characteristics and clinicopathological risk factors, a multi-factor Logistic regression method was used to construct a radiomics nomogram, and the performance of the radiomics nomogram was evaluated by receiver operating characteristic curve (ROC) curve, calibration curve, and decision curve analysis.ResultsThe radiomics model from the MP-MRI combined sequence showed a higher area under the curve (AUC) than the model from FS-T2WI, DWI, and DCE-MRI alone (0.846 vs. 0.762, 0.830, 0.807, respectively). The radiomics nomogram (AUC=0.902) constructed by combining radiomics characteristics and clinicopathological risk factors showed a better diagnostic effect than the clinical model (AUC=0.858) and the radiomics model (AUC=0.846). The decision curve analysis shows that the radiomics nomogram has good clinical application value, and the calibration curve also proves that it has good stability.ConclusionRadiomics nomogram based on MP-MRI combined sequence showed good predictive accuracy for PC in patients with OC. This tool can be used to identify peritoneal carcinomatosis in OC patients before surgery.

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Clinical Features and Prognostic Factors of Acute Ischemic Stroke Related to Malignant Gastrointestinal Tumor

Frontiers in Neurology ◽

10.3389/fneur.2021.777483 ◽

2021 ◽

Vol 12 ◽

Author(s):

Yating Liu ◽

Xin Li ◽

Feixue Song ◽

Xin Yan ◽

Zhijian Han ◽

...

Keyword(s):

Risk Factors ◽

Ischemic Stroke ◽

Prognostic Factors ◽

Acute Ischemic Stroke ◽

Malignant Tumor ◽

Poor Prognosis ◽

Good Prognosis ◽

Imaging Features ◽

Prognosis Group ◽

D Dimer

Objectives: To analyze the clinical and imaging features of acute ischemic stroke (AIS) related to gastrointestinal malignant tumor, and to explore the prognostic factors.Methods: Clinical data of consecutive patients with gastrointestinal malignant tumor complicated with AIS admitted to the Department of Neurology and Oncology in Lanzhou University Second Hospital from April 2015 to April 2019 were retrospectively analyzed. Patients were divided into good prognosis (mRS 0–2) and poor prognosis (mRS > 2) based on a 90-day mRS score after discharge. The multivariate logistic regression model was used to analyze the prognostic factors.Results: A total of 68 patients were enrolled with an average age of 61.78 ± 6.65 years, including 49 men (72.06%). There were 18 patients in the good prognosis group and 50 patients in the poor prognosis group. The univariate analysis showed that Hcy, D-dimer, thrombin–antithrombin complex (TAT), and three territory sign in magnetic resonance imaging (MRI) were the risk factors for poor prognosis. Multivariate analysis showed that increased D-dimer (OR 4.497, 95% CI 1.014–19.938) and TAT levels (OR 4.294, 95% CI 1.654–11.149) were independent risk factors for the prognosis in such patients.Conclusion: Image of patients with gastrointestinal malignant tumor-related AIS is characterized by three territory sign (multiple lesions in different vascular supply areas). Increased TAT and D-dimer levels are independent prognostic risk factors. TAT is more sensitive to predict prognosis than D-dimer.

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Development of a model to predict recurrence after bronchial artery embolization for non-cancer related hemoptysis

BMC Pulmonary Medicine ◽

10.1186/s12890-021-01790-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hai-Tao Yan ◽

Guang-Dong Lu ◽

Xiang-Zhong Huang ◽

Da-Zhong Zhang ◽

Kun-Yuan Ge ◽

...

Keyword(s):

Risk Factors ◽

Cox Regression ◽

Bronchial Artery ◽

Model Performance ◽

Arterial Embolization ◽

Brier Score ◽

Study Cohort ◽

Imaging Features ◽

Bronchial Arterial Embolization ◽

Predictor Model

Abstract Background Relapse after effective bronchial arterial embolization (BAE) for controlling hemoptysis is not uncommon. Studies reported diverse predictors of recurrence. However, a model to assess the probability of recurrence in non-cancer related hemoptysis patients after BAE has not been reported. This study was to develop a model to predict recurrence after BAE for non-cancer related hemoptysis. Methods The study cohort included 487 patients who underwent BAE for non-cancer-related hemoptysis between January 2015 and December 2019. We derived the model’s variables from univariate and multivariate Cox regression analyses. The model presented as a nomogram scaled by the proportional regression coefficient of each predictor. Model performance was assessed with respect to discrimination and calibration. Results One-month and 1-, 2-, 3- and 5-year recurrence-free rates were 94.5%, 88.0%, 81.4%, 76.2% and 73.8%, respectively. Risk factors for recurrence were underlying lung diseases and the presence of systemic arterial-pulmonary circulation shunts. This risk prediction model with two risk factors provided good discrimination (area under curve, 0.69; 95% confidence interval, 0.62–0.76), and lower prediction error (integrated Brier score, 0.143). Conclusion The proposed model based on routinely available clinical and imaging features demonstrates good performance for predicting recurrence of non-cancer-related hemoptysis after BAE. The model may assist clinicians in identifying higher-risk patients to improve the long-term efficacy of BAE.

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