A Multicenter Study on Preoperative Assessment of Lymphovascular Space Invasion in Early-Stage Cervical Cancer Based on Multimodal MR Radiomics.

BACKGROUND: As lymphovascular space invasion (LVSI) was closely related to lymph node metastasis and prognosis, the preoperative assessment of LVSI in early-stage cervical cancer is crucial for patients. PURPOSE: To develop and validate nomogram based on multimodal MR radiomics to assess LVSI status in cervical cancer patients. STUDY TYPE: Retrospective. POPULATION: The study included 168 cervical cancer patients, of whom 129 cases (age 51.36 ± 9.99 years) from institution 1 were included as the training cohort and 39 cases (age 52.59 ± 10.23 years) from institution 2 were included as the external test cohort. FIELD STRENGTH/SEQUENCE: There were 1.5 T and 3.0 T MRI scans (T1-weighted imaging [T1WI], fat-saturated T2-weighted imaging [FS-T2WI], and contrast-enhanced [CE]). ASSESSMENT: Six machine learning models were built and selected to construct the radiomics signature. The nomogram model was constructed by combining the radiomics signature with the clinical signature, which was then validated for discrimination, calibration, and clinical usefulness. STATISTICAL TESTS: The clinical characteristics were compared using t-tests, Mann-Whitney U tests, or chi-square tests. The Spearman and LASSO methods were used to select radiomics features. The receiver operating characteristic (ROC) analysis was performed, and the area under the curve (AUC), accuracy, sensitivity, and specificity were calculated. RESULTS: The logistic regression (LR) model performed best in each sequence. The AUC of CE-T1-T2WI-combined was the highest in the LR model, with an AUC of 0.775 (95% CI: 0.570-0.979) in external test cohort. The nomogram showed high predictive performance in the training (AUC: 0.883 [95% CI: 0.823-0.943]) and test cohort (AUC: 0.830 [95% CI: 0.657-1.000]) for predicting LVSI. Decision curve analysis demonstrated that the nomogram was clinically useful. DATA CONCLUSION: Our findings suggest that the proposed nomogram model based on multimodal MRI of CE T1WI-T2WI-combined could be used to assess LVSI status in early cervical cancer. EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: Stage 2.

Conventional MR-based Preoperative Nomograms for Prediction of IDH/1p19q Subtype in Low-Grade Glioma.

RATIONALE AND OBJECTIVES: To develop nomogram models incorporating MR and clinical features for preoperative prediction of isocitrate dehydrogenase (IDH)/1p19q subtype in patients with lower-grade gliomas (LGG). MATERIALS AND METHODS: We classified LGG (149 patients) into three categories: (1) IDH mutation and 1p/19q codeletion, (2) IDH mutation and no 1p/19q codeletion, and (3) wild-type IDH. The correlation between clinical and MR features and IDH/1p19q subtype was analyzed. RESULTS: (1) Multivariate analysis showed that hemorrhage (yes vs no odds ratio [OR]: 12.775), enhancing margin (poorly vs well defined OR: 17.87), and SVZ (SVZ+ vs SVZ- OR: 0.304 were associated with a higher incidence of IDHmut-codel status (All p < 0.05). (2) Multivariate analysis showed that age (≥40 years vs <40 years OR: 0.139), hemorrhage (yes vs no OR: 0.095), enhancing margin (poorly vs well defined OR: 0.275), volume (>60 cm3 vs ≤60 cm3 OR: 5.111), and the shortest distance from the tumor centroid to the edge of the lateral ventricles (CS) (>30 mm vs ≤30 mm OR: 3.766) were associated with a higher incidence of IDHmut-noncodel status. (3) Multivariate analysis showed age (≥40 years vs <40 years OR: 17.311), tumor site (other vs frontal lobe OR: 4.696), volume (>60 cm3 vs ≤60 cm3 OR: 0.188), CS (>30 mm vs ≤30 mm OR: 0.285), necrosis (yes vs no OR: 0.193), and proportion CE tumor (>5% vs ≤5% OR: 5.253) were associated with a higher incidence of IDHwt status. Three nomogram models showed good discrimination (all area under the curve > 0.8) and calibration. CONCLUSION: Clinical and MR features may therefore be used to facilitate the preoperative prediction of LGG IDH/1p19q subtype.

Efficacy of second-course intra-arterial chemotherapy in children for advanced retinoblastoma recurrence after intra-arterial chemotherapy.

Purpose: The present study determined the efficacy and toxicity of second-course intra-arterial chemotherapy (IAC) in advanced retinoblastoma (RB) recurrence in children following failed initial IAC. Materials and Methods: A total of 24 child patients with unilateral or bilateral intra-ocular advanced RB (IIRC Group D and Group E) undergoing second-course IAC treatment after initial intra-arterial chemotherapy between September 2011 and November 2016 were enrolled. Global salvage, ocular adverse events, and systemic adverse events were assessed. Results: Following second-course IAC, 15 (62.5%) showed complete control at 34 months follow-up, while 8 cases (33.3%) failed the treatment and 1 patient with metastatic disease (4.2%) eventually died of brain metastasis after refusing treatment. Ocular adverse events included eyelid edema (n=12), ptosis (n=5), forehead erythema (n-5), enophthalmos (n=3), and cataract (n=2). None of the patients had systemic adverse events, such as stroke or sepsis. Also, no secondary neoplasms and technical complications were observed. Conclusion: Second-course IAC is a potential alternative to enucleation in children with advanced RB, who fail an initial course of IAC. However, patients with advanced RB should be managed at experienced centers in order to consider all the alternatives before enucleation.