Neuroradiology最新文献

{"title":"Fetal torcular pseudomass and development of the dural venous sinuses: insights from 2D TOF MR angiography.","authors":"Luísa Sampaio, Giovanni Morana, Hernâni Gonçalves, Andrea Rossi, Carla Ramalho","doi":"10.1007/s00234-024-03501-0","DOIUrl":"https://doi.org/10.1007/s00234-024-03501-0","url":null,"abstract":"<p><strong>Purpose: </strong>The described evolution in prenatal and postnatal periods appears to support the hypothesis that the torcular pseudomass (TP) is probably a physiological, highly frequent and transient developmental finding. Neverthless, it remains to be determined whether TP has any relation with the final anatomy of the adjacent venous sinuses or any anatomic variants. We aimed to explore the relation of the TP with the adjacent dural venous anatomy/anatomic variants in the prenatal period, using MR angiography (2D TOF MRA).</p><p><strong>Methods: </strong>We conducted a single centre retrospective study (September 2018-April 2024), by selecting all the fetal brain MRIs with MRA acquisition (2D TOF). Two neuroradiologists independently reviewed all MRIs, assessing the TP anatomy and adjacent venous sinuses.</p><p><strong>Results: </strong>Forty-five brain MRIs were obtained, from pregnant women with median maternal age of 31 years, and a median gestational age of 31 weeks. At least one anatomic variant of the venous drainage system was present in 48.9% of cases (n = 22), mainly a venous drainage dominance (40%). The TP was present in 75.6% of cases; it was focal and bulky in 10 cases each, and crescentic in the remainder; 70.6% were median/symmetric and 29.4% were left paramedian. We found a significant association of TP position and TP category; all of those with lateralization were left-sided, with a large proportion (80%) being bulky. The TP position was significantly associated with a pattern of right venous drainage dominance.</p><p><strong>Conclusion: </strong>We have provided an assessment of the relationship of the TP with the surrounding venous anatomy, particularly regarding its correlation with anatomic variants.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142648310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visualizing the association between the location and prognosis of isocitrate dehydrogenase wild-type glioblastoma: a voxel-wise Cox regression analysis with open-source datasets.","authors":"Natsuko Atsukawa, Hiroyuki Tatekawa, Daiju Ueda, Tatsushi Oura, Shu Matsushita, Daisuke Horiuchi, Hirotaka Takita, Yasuhito Mitsuyama, Reia Baba, Taro Tsukamoto, Taro Shimono, Yukio Miki","doi":"10.1007/s00234-024-03503-y","DOIUrl":"https://doi.org/10.1007/s00234-024-03503-y","url":null,"abstract":"<p><strong>Purpose: </strong>This study examined the correlation between tumor location and prognosis in patients with glioblastoma using magnetic resonance images of various isocitrate dehydrogenase (IDH) wild-type glioblastomas from The Cancer Imaging Archive (TCIA). The relationship between tumor location and prognosis was visualized using voxel-wise Cox regression analysis.</p><p><strong>Methods: </strong>Participants with IDH wild-type glioblastoma were selected, and their survival and demographic data and tumor characteristics were collected from TCIA datasets. Post-contrast-enhanced T1-weighted imaging, T2-fluid attenuated inversion recovery imaging, and tumor segmentation data were also compiled. Following affine registration of each image and tumor segmentation region of interest to the MNI standard space, a voxel-wise Cox regression analysis was conducted. This analysis determined the association of the presence or absence of the tumor with the prognosis in each voxel after adjusting for the covariates.</p><p><strong>Results: </strong>The study included 769 participants of 464 men and 305 women (mean age, 63 years ± 12 [standard deviation]). The hazard ratio map indicated that tumors in the medial frontobasal region and around the third and fourth ventricles were associated with poorer prognoses, underscoring the challenges of complete resection and treatment accessibility in these areas regardless of the tumor volume. Conversely, tumors located in the right temporal and occipital lobes had favorable prognoses.</p><p><strong>Conclusion: </strong>This study showed an association between tumor location and prognosis. These findings may assist clinicians in developing more precise and effective treatment plans for patients with glioblastoma to improve their management.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142623532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interhypothalamic adhesions: prevalence, structure, and location-based classification map in pediatric patients undergoing MRI.","authors":"Michael P Oien, Onur Tuncer, David Nascene","doi":"10.1007/s00234-024-03505-w","DOIUrl":"10.1007/s00234-024-03505-w","url":null,"abstract":"<p><strong>Purpose: </strong>Interhypothalamic adhesions (IHAs) have been reported only in the pediatric population, with unknown prevalence and histological composition. We aim to demonstrate their prevalence, assess their persistence through longitudinal imaging, classify IHAs by anatomical distribution, explore their structure, and report associated pathologies.</p><p><strong>Methods: </strong>A retrospective review was conducted on consecutive pediatric brain MRI studies obtained between January 2012, and December 2013. The presence of an IHA was only confirmed when observed on at least two planes. For each IHA, cross-sectional area was calculated, and signal intensities were measured at the center on sagittal T2WIs. Signal intensities were also measured in both cerebral white matter and gray matter for normalization and comparison. Patient demographics and clinical information were collected from electronic charts.</p><p><strong>Results: </strong>Out of 1550 patients (0-17.9 years), 33 (19 males, 14 females) had an IHA, resulting in a 2.13% prevalence. Follow-up images were available for 19 IHA-positive patients, and IHAs were again seen in 92% of the follow-up scans (71/77). Normalized IHA signal highly correlated with normalized gray matter signal (r = 0.83, P < 0.001), but not with normalized white matter signal (r = -0.16, p = 0.494). Common co-occurring pathologies included hydrocephalus (n = 9), prematurity (n = 8), and corpus callosum abnormalities (n = 7). All type 3 IHAs (3/3) were accompanied by pituitary pathologies.</p><p><strong>Conclusion: </strong>IHAs have a prevalence of 2.13% in our cohort, and the majority persist in longitudinal studies. They showed gray matter signal intensity and Type 3 IHAs exclusively accompanied pituitary abnormalities.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peak width of skeletonized mean diffusivity: a novel biomarker for white matter damage in spinocerebellar ataxia type 2.","authors":"Nan Chen, Juan Peng, Fei Xiong, Ye Tu","doi":"10.1007/s00234-024-03499-5","DOIUrl":"https://doi.org/10.1007/s00234-024-03499-5","url":null,"abstract":"<p><strong>Purpose: </strong>Peak width of skeletonized mean diffusivity (PSMD) is a robust and fully automated imaging marker employed to detect microstructural damage in white matter. This study aimed to evaluate whether PSMD reflects the severity of white matter damage and tracks disease progression in patients with spinocerebellar ataxia type 2 (SCA2).</p><p><strong>Methods: </strong>Nine patients with SCA2 and sixteen age- and gender-matched healthy controls were enrolled. Clinical and imaging data were collected at baseline and after 3.5 years. Each participant underwent MRI scans twice to obtain diffusion tensor imaging data, from which PSMD were automatically calculated. Differences in PSMD between SCA2 patients and healthy controls were analyzed using a linear mixed model. Additionally, Spearman's rank correlations were employed to assess associations between PSMD values and clinical variables.</p><p><strong>Results: </strong>Patients with SCA2 exhibited higher PSMD values at baseline and follow-up compared to HCs, indicating more severe white matter damage. Longitudinal data revealed a continual increase in PSMD values in SCA2 patients over time. The mixed-effects model confirmed significant differences in PSMD values between the two groups, as well as an interaction effect suggesting different progression rates. These findings suggest that SCA2 associates with progressive deterioration of white matter. No significant correlations were observed between PSMD values and clinical variables in this study.</p><p><strong>Conclusion: </strong>This study underscores the potential of PSMD as a neuroimaging biomarker for detecting microstructural white matter damage and monitoring disease progression in patients with SCA2.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medial temporal atrophy predicts the limbic comorbidities in lewy body disease.","authors":"Keita Sakurai, Daita Kaneda, Satoru Morimoto, Yuto Uchida, Shohei Inui, Cong Shang, Yasuyuki Kimura, Chang Cai, Takashi Kato, Kengo Ito, Yoshio Hashizume","doi":"10.1007/s00234-024-03502-z","DOIUrl":"https://doi.org/10.1007/s00234-024-03502-z","url":null,"abstract":"<p><strong>Purpose: </strong>Although neuropathological comorbidities, including Alzheimer's disease neuropathological change (AD-NC) and limbic-predominant age-related TAR DNA-binding protein 43encephalopathy neuropathological change (LATE-NC), are associated with medial temporal atrophy in patients with Lewy body disease (LBD), the diagnostic performance of magnetic resonance imaging (MRI)-derived indices remains unclear. This study aimed to investigate the diagnostic performance of MRI-derived indices representing medial temporal atrophy in differentiating between LBD with AD-NC and/or LATE-NC (mixed LBD [mLBD]) and without these comorbidities (pure LBD [pLBD]).</p><p><strong>Methods: </strong>This study included 24 and 16 patients with pathologically confirmed mLBD and pLBD, respectively. In addition to the well-known medial temporal atrophy and entorhinal cortex atrophy (ERICA) scores, the cross-sectional areas of the bilateral entorhinal cortices/parahippocampal gyri (ABEP) were segmented manually.</p><p><strong>Results: </strong>Even incorporating various covariates such as age at MRI examination, sex, argyrophilic grain, the MRI-derived indices, especially ABEP, significantly correlated with the severity of AD-NC, and showed a trend of correlation with LATE-NC. For the differentiation between all mLBD and pLBD, the ERICA score and ABEP demonstrated higher diagnostic performance (area under the receiver-operating-characteristic curve [AUC] of 0.80 and 0.87, respectively). Additionally, the highest diagnostic performance for ABEP (AUC, 0.94; sensitivity, 100%; specificity, 88.9%; accuracy, 96%) was observed in differentiating between pLBD and mLBD with two comorbidities (AD-NC and LATE-NC).</p><p><strong>Conclusion: </strong>In patients with pathologically confirmed LBD, medial temporal atrophy was significantly correlated with AD-NC, and showed a trend of correlation with LATE-NC. Moreover, MRI-derived indices indicative of medial temporal atrophy were useful in diagnosing these comorbidities.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic accuracy of radiomics and artificial intelligence models in diagnosing lymph node metastasis in head and neck cancers: a systematic review and meta-analysis.","authors":"Parya Valizadeh, Payam Jannatdoust, Mohammad-Taha Pahlevan-Fallahy, Amir Hassankhani, Melika Amoukhteh, Sara Bagherieh, Delaram J Ghadimi, Ali Gholamrezanezhad","doi":"10.1007/s00234-024-03485-x","DOIUrl":"https://doi.org/10.1007/s00234-024-03485-x","url":null,"abstract":"<p><strong>Introduction: </strong>Head and neck cancers are the seventh most common globally, with lymph node metastasis (LNM) being a critical prognostic factor, significantly reducing survival rates. Traditional imaging methods have limitations in accurately diagnosing LNM. This meta-analysis aims to estimate the diagnostic accuracy of Artificial Intelligence (AI) models in detecting LNM in head and neck cancers.</p><p><strong>Methods: </strong>A systematic search was performed on four databases, looking for studies reporting the diagnostic accuracy of AI models in detecting LNM in head and neck cancers. Methodological quality was assessed using the METRICS tool and meta-analysis was performed using bivariate model in R environment.</p><p><strong>Results: </strong>23 articles met the inclusion criteria. Due to the absence of external validation in most studies, all analyses were confined to internal validation sets. The meta-analysis revealed a pooled AUC of 91% for CT-based radiomics, 84% for MRI-based radiomics, and 92% for PET/CT-based radiomics. Sensitivity and specificity were highest for PET/CT-based models. The pooled AUC was 92% for deep learning models and 91% for hand-crafted radiomics models. Models based on lymph node features had a pooled AUC of 92%, while those based on primary tumor features had an AUC of 89%. No significant differences were found between deep learning and hand-crafted radiomics models or between lymph node and primary tumor feature-based models.</p><p><strong>Conclusion: </strong>Radiomics and deep learning models exhibit promising accuracy in diagnosing LNM in head and neck cancers, particularly with PET/CT. Future research should prioritize multicenter studies with external validation to confirm these results and enhance clinical applicability.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142625095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FET PET to differentiate between post-treatment changes and recurrence in high-grade gliomas: a single center multidisciplinary clinic controlled study.","authors":"Ameya D Puranik, Indraja D Dev, Venkatesh Rangarajan, Yash Jain, Sukriti Patra, Nilendu C Purandare, Arpita Sahu, Amitkumar Choudhary, Kajari Bhattacharya, Tejpal Gupta, Abhishek Chatterjee, Archya Dasgupta, Aliasgar Moiyadi, Prakash Shetty, Vikas Singh, Epari Sridhar, Ayushi Sahay, Aekta Shah, Nandini Menon, Suchismita Ghosh, Sayak Choudhury, Sneha Shah, Archi Agrawal, N Lakshminarayanan, Amit Kumar, Arjun Gopalakrishna","doi":"10.1007/s00234-024-03495-9","DOIUrl":"https://doi.org/10.1007/s00234-024-03495-9","url":null,"abstract":"<p><strong>Purpose: </strong>The clinico-radiological dilemma in post-treatment high-grade gliomas, between disease recurrence (TR) and treatment-related changes (TRC), still persists. FET (Fluoro-ethyl-tyrosine) PET has been extensively used as problem-solving modality for cases where MR imaging is inconclusive. We incorporated a systematic imaging and clinical follow-up algorithm in a multi-disciplinary clinic (MDC) setting to analyse our cohort of FET PET in post-treatment gliomas.</p><p><strong>Methods: </strong>We retrospectively analyzed 171 patients of post-treatment grade III and IV glioma with equivocal findings on MRI. 185-222 MBq of 18 F-FET was injected and dedicated static imaging of brain was performed at 20 min. TBR (Tumor to background ratio) was used as semi-quantitative parameter. Cutoff of 2.5 was used for image interpretation. Imaging findings were confirmed with histopathological diagnosis, wherever available or in a multidisciplinary joint clinic based on serial imaging.</p><p><strong>Results: </strong>121 of 171 patients showed recurrent disease on FET PET, on follow up, 109 were confirmed with recurrence; 7 patients showed TRC, whereas 5 were treated with bevacizumab, with no further clinico-radiological deterioration, thus confirming TRC. 50 patients showed TRC on FET PET, on follow up on follow up, 40 were confirmed as true-negative. 10 patients who showed TBR less than 2.5 had confirmed TR on subsequent MR imaging. The overall sensitivity and specificity was 91.6 and 76.9% respectively, with a diagnostic accuracy of 87.13%.</p><p><strong>Conclusion: </strong>There is potential for FET PET to be used along with MRI in the post treatment algorithm of high-grade glial tumors.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomics features for the discrimination of tuberculomas from high grade gliomas and metastasis: a multimodal study.","authors":"Abhilasha Indoria, Karthik Kulanthaivelu, Chandrajit Prasad, Dwarakanath Srinivas, Shilpa Rao, Neelam Sinha, Vivek Potluri, M Netravathi, Atchayaram Nalini, Jitender Saini","doi":"10.1007/s00234-024-03435-7","DOIUrl":"10.1007/s00234-024-03435-7","url":null,"abstract":"<p><strong>Background: </strong>Tuberculomas are prevalent in developing countries and demonstrate variable signals on MRI resulting in the overlap of the conventional imaging phenotype with other entities including glioma and brain metastasis. An accurate MRI diagnosis is important for the early institution of anti-tubercular therapy, decreased patient morbidity, mortality, and prevents unnecessary neurosurgical excision. This study aims to assess the potential of radiomics features of regular contrast images including T1W, T2W, T2W FLAIR, T1W post contrast images, and ADC maps, to differentiate between tuberculomas, high-grade-gliomas and metastasis, the commonest intra parenchymal mass lesions encountered in the clinical practice.</p><p><strong>Methods: </strong>This retrospective study includes 185 subjects. Images were resampled, co-registered, skull-stripped, and zscore-normalized. Automated lesion segmentation was performed followed by radiomics feature extraction, train-test split, and features reduction. All machine learning algorithms that natively support multiclass classification were trained and assessed on features extracted from individual modalities as well as combined modalities. Model explainability of the best performing model was calculated using the summary plot obtained by SHAP values.</p><p><strong>Results: </strong>Extra tree classifier trained on the features from ADC maps was the best classifier for the discrimination of tuberculoma from high-grade-glioma and metastasis with AUC-score of 0.96, accuracy-score of 0.923, Brier-score of 0.23.</p><p><strong>Conclusion: </strong>This study demonstrates that radiomics features are effective in discriminating between tuberculoma, metastasis, and high-grade-glioma with notable accuracy and AUC scores. Features extracted from the ADC maps surfaced as the most robust predictors of the target variable.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":"1979-1992"},"PeriodicalIF":2.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141889806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conventional magnetic resonance imaging key features for distinguishing pathologically confirmed corticobasal degeneration from its mimics: a retrospective analysis of the J-VAC study.","authors":"Keita Sakurai, Aya M Tokumaru, Mari Yoshida, Yuko Saito, Koichi Wakabayashi, Takashi Komori, Masato Hasegawa, Takeshi Ikeuchi, Yuichi Hayashi, Takayoshi Shimohata, Shigeo Murayama, Yasushi Iwasaki, Toshiki Uchihara, Motoko Sakai, Ichiro Yabe, Satoshi Tanikawa, Hiroshi Takigawa, Tadashi Adachi, Ritsuko Hanajima, Harutoshi Fujimura, Kentaro Hayashi, Keizo Sugaya, Kazuko Hasegawa, Terunori Sano, Masaki Takao, Osamu Yokota, Tomoko Miki, Michio Kobayashi, Nobutaka Arai, Takuya Ohkubo, Takanori Yokota, Keiko Mori, Masumi Ito, Chiho Ishida, Jiro Idezuka, Yasuko Toyoshima, Masato Kanazawa, Masashi Aoki, Takafumi Hasegawa, Hirohisa Watanabe, Atsushi Hashizume, Hisayoshi Niwa, Keizo Yasui, Keita Ito, Yukihiko Washimi, Akatsuki Kubota, Tatsushi Toda, Kenji Nakashima, Ikuko Aiba","doi":"10.1007/s00234-024-03432-w","DOIUrl":"10.1007/s00234-024-03432-w","url":null,"abstract":"<p><strong>Purpose: </strong>Due to the indistinguishable clinical features of corticobasal syndrome (CBS), the antemortem differentiation between corticobasal degeneration (CBD) and its mimics remains challenging. However, the utility of conventional magnetic resonance imaging (MRI) for the diagnosis of CBD has not been sufficiently evaluated. This study aimed to investigate the diagnostic performance of conventional MRI findings in differentiating pathologically confirmed CBD from its mimics.</p><p><strong>Methods: </strong>Semiquantitative visual rating scales were employed to assess the degree and distribution of atrophy and asymmetry on conventional T1-weighted and T2-weighted images. Additionally, subcortical white matter hyperintensity (SWMH) on fluid-attenuated inversion recovery images were visually evaluated.</p><p><strong>Results: </strong>In addition to 19 patients with CBD, 16 with CBD mimics (progressive supranuclear palsy (PSP): 9, Alzheimer's disease (AD): 4, dementia with Lewy bodies (DLB): 1, frontotemporal lobar degeneration with TAR DNA-binding protein of 43 kDa(FTLD-TDP): 1, and globular glial tauopathy (GGT): 1) were investigated. Compared with the CBD group, the PSP-CBS subgroup showed severe midbrain atrophy without SWMH. The non-PSP-CBS subgroup, comprising patients with AD, DLB, FTLD-TDP, and GGT, showed severe temporal atrophy with widespread asymmetry, especially in the temporal lobes. In addition to over half of the patients with CBD, two with FTLD-TDP and GGT showed SWMH, respectively.</p><p><strong>Conclusion: </strong>This study elucidates the distinct structural changes between the CBD and its mimics based on visual rating scales. The evaluation of atrophic distribution and SWMH may serve as imaging biomarkers of conventional MRI for detecting background pathologies.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":"1917-1929"},"PeriodicalIF":2.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11535003/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141748677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SISCOS in focal cortical dysplasia: localization and comparative analysis with MRI.","authors":"Dikhra Khan, Sambit Sagar, Jasim Jaleel, Mohammad Umar, Madhavi Tripathi, Manjari Tripathi, M C Sharma, Chandrasekhar Bal","doi":"10.1007/s00234-024-03434-8","DOIUrl":"10.1007/s00234-024-03434-8","url":null,"abstract":"<p><strong>Purpose: </strong>This study evaluates the efficacy of SISCOS (Subtraction ictal-interictal SPECT coregistered to SPECT) in localizing the epileptogenic zone (EZ) in focal cortical dysplasia (FCD), comparing its predictive performance with MRI and post-surgical outcomes based on ILAE classification.</p><p><strong>Methods: </strong>84 patients with drug refractory epilepsy (DRE) who were operated and had histopathology consistent with FCD, were included in the study. All patients had undergone a complete work-up including SISCOS and MRI for EZ localization, followed by discussion in the multidisciplinary epilepsy surgery meeting prior to surgery. Ictal & interictal perfusion SPECT studies were performed with Tc-99 m Ethylene Cysteinate Dimer (Tc-99 m ECD) followed by SISCOS analysis using SPM2 and Bioimage Suite 2.6. Concordance for localization was determined by comparing with the surgical resection site and post-surgical outcomes were assessed using the ILAE classification.</p><p><strong>Results: </strong>The concordance for EZ localization demonstrated by SISCOS was 73.8% and MRI was 82.1%. 52 patients (61.9%) had good surgical outcome and 31(59%) of these were FCD type 2. In patients with discordant MRI findings, SISCOS was able to provide localisation in 86% (13/15), with 69.2% showing good surgical outcomes. Sensitivity of SISCOS and MRI was 73% (95% CI = 59-84.8%) and 78% (95% CI = 67.5-90.3%) respectively with no significant difference between the two. In FCD type I, both SISCOS and MRI revealed a similar a sensitivity of 76.4% (95%CI = 50.1-93.2%). Concordant cases exhibited higher seizure-free odds ratios for both modalities.</p><p><strong>Conclusion: </strong>SISCOS is effective in localizing the EZ in FCD patients, comparable to MRI. Integrating SISCOS and MRI enhances lesion detection, especially in MRI discordant cases. A comprehensive diagnostic approach utilizing SISCOS and MRI can optimize the non-invasive pre-surgical assessment in DRE thereby guiding surgical decision-making in a resource-limited setting.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":"1993-2001"},"PeriodicalIF":2.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141766898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}