I‐Lun Shih

Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas

ABSTRACTBackgroundWe investigated the agreement and accuracy of preoperative magnetic resonance imaging (MRI) with postoperative pathological characteristics and stages of endometrial endometrioid carcinoma (EEC).MethodsWe recruited 527 women with EEC who underwent staging surgery at a single medical institution. The preoperative MRI, stages, and clinical and pathological parameters, including myometrial invasion (MI), cervical invasion (CI), adnexal metastasis (AM), intra‐abdominal metastasis, and pelvic and/or para‐aortic nodal metastasis, were recorded and analyzed. The agreement and accuracy between the preoperative MRI findings and these parameters and stages were assessed.ResultsThe rate of the preoperative MRI‐based clinical stage matching the postoperative surgical stage was 85.2% in International Federation of Gynecology and Obstetrics stage IA, 51.9% in stage IB, 35.5% in stage II, 5.3% in stage IIIA, 33.3% in stage IIIB, 28.6% in stage IIIC1, 64.3% in stage IIIC2, and 93.8% in stage IVB. The consistency between radiologists and pathologists was 80.5% for deep MI, 91.5% for cervical invasion, 92.2% for adnexal metastasis, 98.9% for intra‐abdominal metastasis, and 87.5% and 92.2% for pelvic and para‐aortic nodal metastases, respectively. The negative predictive value of intra‐abdominal metastasis was the highest with 99.8%.ConclusionsPreoperative MRI could be an excellent tool for routine preoperative assessment to predict pathological parameters and stages of EEC, especially in excluding intra‐abdominal metastatic disease.

PET/MRI in Cervical Cancer: Associations Between Imaging Biomarkers and Tumor Stage, Disease Progression, and Overall Survival

BackgroundPositron emission tomography (PET)/MRI biomarkers have been shown to have prognostic significance in patients with cervical cancer. Their associations with progression‐free survival (PFS) and overall survival (OS) merit further investigation.PurposeTo evaluate the association between PET/MRI biomarkers and tumor stage, PFS, and OS in patients with cervical cancer.Study TypeProspective cohort study.PopulationIn all, 54 patients with newly diagnosed cervical cancer and measurable tumors (>1 cm) were included in the image analysis.Field Strength/Sequence3.0T integrated PET/MRI including diffusion‐weighted echo‐planar imaging (b = 50 and 1000 s/mm2) and [18F]fluorodeoxyglucose PET.AssessmentTwo radiologists measured the minimum and mean apparent diffusion coefficient (ADCmin and ADCmean), maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the primary tumors.Statistical TestsA Mann–Whitney U‐test was used to evaluate the association between the imaging biomarkers and tumor stage. A Cox proportional hazards model was used to assess the relationships between the imaging biomarkers and survival.ResultsIn advanced tumors (T ≥ 1b2, M1, stage ≥ IB3), ADCmin was significantly lower and MTV, TLG, MTV/ADCmin, and TLG/ADCmin were significantly higher (P values between <0.001 and 0.036). In N1 tumors, ADCmin was significantly lower and MTV and MTV/ADCmin were significantly higher (P values between 0.005 and 0.016). In survival analysis, SUVmax was an independent predictor of PFS (hazard ratio [HR] = 4.57, P < 0.05), and ADCmin was an independent predictor of OS (HR = 0.02, P < 0.05). In subgroup analysis of patients with different stages, MTV/ADCmin was a predictor of PFS in stage I disease (P = 0.003), ADCmin (P = 0.038), and MTV (P = 0.020) in stage II, SUVmax (P = 0.006), and TLG (P = 0.006) in stage IV; and ADCmin was a predictor of OS in stage III disease (P = 0.008).Data ConclusionPET/MRI biomarkers of cervical cancer are associated with tumor stage and survival. SUVmax and ADCmin are independent predictors of PFS and OS, respectively.Level of Evidence1Technical Efficacy3