Methods: T1-weighted MRIs and symptom ratings (SAPS – Scale for Assessment of Positive Symptoms & SANS – Scale for Assessment of Negative Symptoms) were obtained from the open database SchizConnect (http://schizconnect. org/). Based on standard symptom remission criteria, subjects were grouped into Positive symptoms (n=29) and Negative symptoms predominant (n=84) groups and healthy controls (n=120). Structural-MRI analysis was performed on Freesurfer and the scanner site-harmonized brain volumes were compared across the 3 groups.
{"title":"Medial Temporal Lobe and Cortical Involvement: Neuroanatomical Signatures of Symptom Dimension Dominant Schizophrenia","authors":"F. Provenzano","doi":"10.17756/jnpn.2021-039","DOIUrl":"https://doi.org/10.17756/jnpn.2021-039","url":null,"abstract":"Methods: T1-weighted MRIs and symptom ratings (SAPS – Scale for Assessment of Positive Symptoms & SANS – Scale for Assessment of Negative Symptoms) were obtained from the open database SchizConnect (http://schizconnect. org/). Based on standard symptom remission criteria, subjects were grouped into Positive symptoms (n=29) and Negative symptoms predominant (n=84) groups and healthy controls (n=120). Structural-MRI analysis was performed on Freesurfer and the scanner site-harmonized brain volumes were compared across the 3 groups.","PeriodicalId":385711,"journal":{"name":"Journal of Neuroimaging in Psychiatry & Neurology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134424431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Mazal, Liyuan Chen, F. Poh, Jing Wang, M. Folkert, O. Ashikyan, P. Pezeshk, A. Chhabra
Background: Peripheral nerve sheath tumors (PNSTs) comprise ~5-10% of soft tissue tumors encountered in the clinical setting. Benign lesions (BPNSTs), such as neurofibromas and schwannomas are often asymptomatic or cause neuropathy. Malignant peripheral nerve sheath tumors (MPNSTs) frequently exhibit rapid invasive behavior and metastatic spread. MR imaging markers do not reliably differentiate BPNSTs from MPNSTs. Convolutional neural networks employ machine learning and multi-order statistics to derive imaging signatures that could improve diagnostic assessment of PNSTs.
{"title":"Convolutional Neural Networks Accurately Predict Benign versus Malignant Status Among Peripheral Nerve Sheath Tumors","authors":"A. Mazal, Liyuan Chen, F. Poh, Jing Wang, M. Folkert, O. Ashikyan, P. Pezeshk, A. Chhabra","doi":"10.17756/jnpn.2021-038","DOIUrl":"https://doi.org/10.17756/jnpn.2021-038","url":null,"abstract":"Background: Peripheral nerve sheath tumors (PNSTs) comprise ~5-10% of soft tissue tumors encountered in the clinical setting. Benign lesions (BPNSTs), such as neurofibromas and schwannomas are often asymptomatic or cause neuropathy. Malignant peripheral nerve sheath tumors (MPNSTs) frequently exhibit rapid invasive behavior and metastatic spread. MR imaging markers do not reliably differentiate BPNSTs from MPNSTs. Convolutional neural networks employ machine learning and multi-order statistics to derive imaging signatures that could improve diagnostic assessment of PNSTs.","PeriodicalId":385711,"journal":{"name":"Journal of Neuroimaging in Psychiatry & Neurology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133166257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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