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BACKGROUND: The status of the hypothalamic-pituitary-gonadal (HPG) axis is important for assessing the onset of physiological or pathological puberty. The reference standard gonadotropin-releasing hormone (GnRH) stimulation test requires hospital admission and repeated blood samples. A simple noninvasive method would be beneficial. OBJECTIVES: To explore a noninvasive method for evaluating HPG axis activation in children using an MRI radiomics model. STUDY TYPE: Retrospective. POPULATION: Two hundred thirty-nine children (83 male; 3.6-14.6 years) with hypophysial MRI and GnRH stimulation tests, randomly divided a training set (168 children) and a test set (71 children). FIELD STRENGTH/SEQUENCE: 3.0 T, 3D isotropic fast spin echo (CUBE) T1-weighted imaging (T1WI) sequences. ASSESSMENT: Radiomics features were extracted from sagittal 3D CUBE T1WI, and imaging signatures were generated using the least absolute shrinkage and selection operator (LASSO) with 10-fold cross-validation. Diagnostic performance for differential diagnosis of HPG status was compared between a radiomics model and MRI features (adenohypophyseal height [aPH] and volume [aPV]). STATISTICAL TESTS: Receiver operating characteristic (ROC) and decision curve analysis (DCA). A P value <0.05 was considered statistically significant. RESULTS: Eight hundred fifty-one radiomics features were extracted and reduced to 10 by the LASSO method in the training cohort. The radiomics model based on CUBE T1WI showed good performance in assessment of HPG axis activation with an area under the ROC curve (AUC) of 0.81 (95% CI: 0.71, 0.91) in the test set. The AUC of the radiomics model was significantly higher than that of aPH (0.81 vs. 0.65) but there was no significant difference compared to aPV (0.81 vs. 0.78, P = 0.58). In DCA analysis, the radiomics signature showed higher net benefit over the aPV and aPH models. DATA CONCLUSIONS: The MRI radiomics model has potential to assess HPG axis activation status noninvasively, potentially providing valuable information in the diagnosis of patients with pathological puberty onset. EVIDENCE LEVEL: 4 TECHNICAL EFFICACY: Stage 2.

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BACKGROUND: Accurate prediction of response to neoadjuvant chemoradiotherapy (nCRT) is very important for treatment plan decision in locally advanced rectal cancer (LARC). The aim of this study was to investigate whether self-attention mechanism based multi-sequence fusion strategy applied to multiparametric magnetic resonance imaging (MRI) based deep learning or hand-crafted radiomics model construction can improve prediction of response to nCRT in LARC. METHODS: This retrospective analysis enrolled 422 consecutive patients with LARC who received nCRT before surgery at two hospitals. All patients underwent multiparametric MRI scans with three imaging sequences. Tumor regression grade (TRG) was used to assess the response of nCRT based on the resected specimen. Patients were separated into 2 groups: poor responders (TRG 2, 3) versus good responders (TRG 0, 1). A self-attention mechanism, namely channel attention, was applied to fuse the three sequence information for deep learning and radiomics models construction. For comparison, other two models without channel attention were also constructed. All models were developed in the same hospital and validated in the other hospital. RESULTS: The deep learning model with channel attention mechanism achieved area under the curves (AUCs) of 0.898 in the internal validation cohort and 0.873 in the external validation cohort, which was the best performed model in all cohorts. More importantly, both the deep learning and radiomics model that applied channel attention mechanism performed better than those without channel attention mechanism. CONCLUSIONS: The self-attention mechanism based multi-sequence fusion strategy can improve prediction of response to nCRT in LARC.

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Aim: This study analyzed clinicopathological features of colorectal mucinous carcinoma and their prognostic values. Patients & method: This study enrolled 265 patients with mucinous colorectal cancer. Clinicopathological information and prognosis were reviewed retrospectively. Kaplan-Meier method, log- rank test and COX proportional hazard regression models were used. Results: In postoperative mucinous carcinoma patients (median age 56, 119 [44.9%] female), advanced tumor stage (odds ratio [OR]: 2.378; 95% CI: 1.512-3.741; p = 0.0002), poor differentiation (OR: 1.896; CI: 1.217-2.955; p = 0.0047) and right-sided tumors (OR: 2.421; CI: 1.145-5.102; p = 0.0206) were associated with shorter overall survival. Appendiceal/ileocecal cecal tumors were not different for prognosis. Conclusion: Mucinous colorectal carcinoma exhibits distinct tumor characteristics. Poor differentiation, advanced stage at presentation and the right side serve as negative prognostic factors.

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Mucinous colorectal adenocarcinoma is a distinct subtype of colorectal cancer (CRC) characterized by the presence of abundant extracellular mucin which accounts for at least 50% of the tumor volume. Mucinous colorectal adenocarcinoma is found in 10%-20% of CRC patients and occurs more commonly in female and younger patients. Moreover, mucinous colorectal adenocarcinoma is more frequently located in the proximal colon and diagnosed at an advanced stage. Based on its molecular context, mucinous colorectal adenocarcinoma is associated with the overexpression of mucin 2 (MUC2) and mucin 5AC (MUC5AC) proteins. At the same time, it shows higher mutation rates in the fundamental genes of the RAS/MAPK and PI3K/Akt/mTOR pathways. Mucinous colorectal adenocarcinoma also shows higher rates of microsatellite instability (MSI) than non-mucinous colorectal adenocarcinoma which might correlate it with Lynch syndrome and the CpG island methylator phenotype. The prognosis of mucinous colorectal adenocarcinoma as to non-mucinous colorectal adenocarcinoma is debatable. Further, the impaired responses of mucinous colorectal adenocarcinoma to palliative or adjuvant chemotherapy warrant more studies to be performed for a specialized treatment for these patients. In this review, we discuss the molecular background and histopathology of mucinous colorectal adenocarcinoma, and provide an update on its prognosis and therapeutics from recent literatures.

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Triple negative breast cancer (TNBC) accounts for approximately 15-20% of all breast cancer cases and is usually more aggressive with a poorer clinical outcome compared with other breast cancer subtypes. Evidence of the involvement of microRNAs (miRNAs) in cancer has provided an opportunity for the development of novel effective therapeutic targets in TNBC. In the present study, the miRNA expression profiles of the human breast cancer cell line, MDA-MB-231, and MCF-7 cells, was evaluated by using miRNA microarray analysis. A total of 107 differentially expressed miRNAs (57 upregulated and 50 downregulated) were identified in MDA-MB-231 cells compared with MCF-7 cells. Five prominently dysregulated miRNAs (miR-200c-3p, miR-221-3p, miR-222-3p, miR-192-5p and miR-146a) were further confirmed by reverse transcription-quantitative polymerase chain reaction. In addition, gene ontology analysis and pathway enrichment analysis revealed that the dysregulated miRNAs and predicted targets were found to be involved in the mitogen-activated protein kinase, Wnt, and transforming growth factor-ß signaling pathways, which were known to contribute to TNBC progression and metastasis. Finally, miRNA gene network analyses suggested that miR-200c may serve as a crucial miRNA in breast cancer. Taken together, these findings may provide a comprehensive view of the function of aberrant miRNAs involved in TNBC, and dysregulated miRNAs hold promise as potential biomarkers and therapeutic targets for patients with TNBC.

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OBJECTIVE: To evaluate MR accuracy for staging endometrial carcinoma with different FIGO staging systems. METHODS: Between August 2006 and July 2010, 95 women underwent surgery for endometrial carcinoma.In each patient, endometrial carcinoma was staged with magnetic resonance (MR) findings based on the old FIGO staging system and then repeated according to the new FIGO staging system for comparisons.Histopathologic findings were used as a golden standard to compare the sensitivity, specificity, accuracy, positive predictive value and negative predictive value. RESULTS: The accuracy of MRI in the staging of endometrial carcinoma stageI, II and III with the old FIGO staging system were 83.2%, 86.3% and 92.6% versus 88.4%, 96.8% and 91.6% respectively with the new FIGO staging criteria.According the old FIGO staging system, the sensitivity of stage IA, IB and IC were 51.8%, 76.5% and 50.0% and the specificity 85.3% , 55.7% and 95.4% respectively; the sensitivity of stage IIA and IIB were merely 12.5% and 20.0% and the specificity 97.7% and 100.0%.With the new FIGO staging criteria, the above indices were 97.1%, 55.6%, 57.7%, 95.3%, 40.0% and 100.0% respectively. CONCLUSION: With new FIGO staging system versus the old one, the accuracy of MR imaging in the preoperative staging of endometrial carcinoma increases.

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Malignant tumors in the tonsils are usually primary. Metastases to the tonsils are extremely rare, with nearly one hundred cases reported. Herein we present an unusual case of palatine tonsillar metastasis of non-small cell lung cancer during chemotherapy. The patient was a 39-year-old man who was diagnosed as non-small lung cancer with IIIA4 staging and poor differentiated histology. After two cycles of vinorelbine and cisplatin based chemotherapy, a big mass was developed in the right palatine tonsil which was pathologically confirmed as the metastasis from the lung. There was no hemorrhage and complains except moderate foreign body sensations. No cervical lymphadenopathy and distal metastases to other organs such as brain and liver was found. Because of poor overall performance status, no radiotherapy was given. The disease progressed after docetaxel treatment. To the best of our knowledge, this is the first case with palatine tonsillar metastasis from non-small lung cancer during induction chemotherapy.

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