Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage.

Backgrounds: Delayed cerebral ischemia (DCI) is a significant complication following aneurysmal subarachnoid hemorrhage (aSAH), leading to poor prognosis and high mortality. This study developed a non-contrast CT (NCCT)-based radiomics nomogram for early DCI prediction in aSAH patients.

Methods: Three hundred seventy-seven aSAH patients were included in this retrospective study.

Development of a deep-learning algorithm for etiological classification of subarachnoid hemorrhage using non-contrast CT scans.

Objectives: This study aims to develop a deep learning algorithm for differentiating aneurysmal subarachnoid hemorrhage (aSAH) from non-aneurysmal subarachnoid hemorrhage (naSAH) using non-contrast computed tomography (NCCT) scans.

Methods: This retrospective study included 618 patients diagnosed with SAH. The dataset was divided into a training and internal validation cohort (533 cases: aSAH = 305, naSAH = 228) and an external test cohort (85 cases: aSAH = 55, naSAH = 30).

Added Value of Cerebral Small Vascular Disease Burden Based On MRI for Prediction Poor Outcome of Intracerebral Hemorrhage.

Background: The significance between cerebral small vessel disease (CSVD) markers on MRI and clinical outcome in intracerebral hemorrhage (ICH) patients is unclear. This study aimed to explore the connection between CSVD markers and short-term outcome in ICH patients.

Methods: We retrospectively included 318 ICH patients.

Prediction of early recurrence in primary central nervous system lymphoma based on multimodal MRI-based radiomics: A preliminary study.

Objectives: To evaluate the role of multimodal magnetic resonance imaging radiomics features in predicting early recurrence of primary central nervous system lymphoma (PCNSL) and to investigate their correlation with patient prognosis.

Materials And Methods: A retrospective analysis was conducted on 145 patients with PCNSL who were treated with high-dose methotrexate-based chemotherapy. Clinical data and MRI images were collected, with tumor regions segmented using ITK-SNAP software.

MR findings of intravascular large B-cell lymphoma of the central nervous system: report of three cases.

Background: Intravascular large B-cell lymphoma (IVLBCL) of the central nervous system (CNS) is a rare subtype of diffuse large B-cell lymphoma. Diagnosing CNS-limited IVLBCL is particularly challenging due to its non-specific clinical presentation and laboratory findings. We present three cases of CNS-limited IVLBCL, expanding the understanding of its imaging spectrum and enhancing preoperative diagnostic accuracy.

Radiomics based on preoperative magnetic resonance imaging predict the cell lineages of nonfunctioning pituitary neuroendocrine tumors.

Objective: Accurate preoperative predict the cell lineages of non-functioning pituitary neuroendocrine tumors (NFPitNETs) can help neurosurgeons develop treatment strategies. This study aimed to predict the three cell lineages of NFPitNETs using radiomics based on MRI.

Methods: NFPitNETs patients from January 2019 and January 2023 were retrospectively enrolled, with adenoma lineages including SF-1 (n = 239), TPIT (n = 204), and PIT-1 (n = 100).

Multiple microcysts and clivus invasion diagnose T-box pituitary transcription factor 19 lineage adenomas in non-functioning pituitary adenomas.

BackgroundPreoperative identification of T-box pituitary transcription factor 19 (TPIT) lineage silent adenomas in non-functioning pituitary adenomas (NFPAs) is important.PurposeTo compare the clinical, laboratory, and radiological features of the three cell lineages of adenomas in NFPAs and evaluate the diagnostic efficacy of multiple microcysts and clivus invasion on magnetic resonance imaging (MRI) for TPIT lineage adenomas in NFPAs.Material and MethodsA total of 405 patients with NFPA were retrospectively enrolled, including steroidogenic factor 1 (SF-1) lineage adenomas (n = 204), TPIT lineage adenomas (n = 111), and pituitary transcription factor 1 (PIT-1) lineage adenomas (n = 90).

Utility of contrast-enhanced MRI radiomics features combined with clinical indicators for predicting induction chemotherapy response in primary central nervous system lymphoma.

Purpose: To assess the utility of combining contrast-enhanced magnetic resonance imaging (CE-MRI) radiomics features with clinical variables in predicting the response to induction chemotherapy (IC) for primary central nervous system lymphoma (PCNSL).

Methods: A total of 131 patients with PCNSL (101 in the training set and 30 in the testing set) who had undergone contrast-enhanced MRI scans were retrospectively analyzed. Pyradiomics was utilized to extract radiomics features, and the clinical variables of the patients were gathered.