Kevin Li‐Chun Hsieh
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View article: CSF dissemination of EGFR-mutant lung cancer present as cranial nerve injury and masticator muscle denervation: a case report and literature review
CSF dissemination of EGFR-mutant lung cancer present as cranial nerve injury and masticator muscle denervation: a case report and literature review Open
Lung cancer with central nervous system metastases are troublesome clinical scenarios. Rare and diagnostically challenging presentations with subtle image findings may delay diagnosis. We report one case with advanced non-small cell lung c…
View article: Morphometric and radiomics analysis toward the prediction of epilepsy associated with supratentorial low-grade glioma in children
Morphometric and radiomics analysis toward the prediction of epilepsy associated with supratentorial low-grade glioma in children Open
Objectives Understanding the impact of epilepsy on pediatric brain tumors is crucial to diagnostic precision and optimal treatment selection. This study investigated MRI radiomics features, tumor location, voxel-based morphometry (VBM) for…
View article: Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework
Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework Open
Background This study investigates the potential of diffusion tensor imaging (DTI) in identifying penumbral volume (PV) compared to the standard gadolinium-required perfusion–diffusion mismatch (PDM), utilizing a stack-based ensemble machi…
View article: Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion
Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion Open
Transforaminal lumbar interbody fusion (TLIF) is a commonly used technique for treating lumbar degenerative diseases. In this study, we developed a fully computer-supported pipeline to predict both the cage height and the degree of lumbar …
View article: An Infant-Type Hemispheric Glioma With SOX5::ALK: A Novel Fusion
An Infant-Type Hemispheric Glioma With SOX5::ALK: A Novel Fusion Open
Infant-type hemispheric glioma (IHG) is a rare pediatric brain tumor with variable response to chemotherapy and radiotherapy. Molecular insights into IHG can be useful in identifying potentially active targeted therapy. A male fetus was fo…
View article: Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion
Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion Open
Transforaminal lumbar interbody fusion (TLIF) is a commonly used technique for treating lumbar degenerative diseases. In this study, we developed a fully computer-supported pipeline to predict both the cage height and the degree of lumbar …
View article: Application of Artificial Intelligence and Machine Learning for the Prediction of Interbody Cage Height and Postoperative Alignment in Transforaminal Lumbar Interbody Fusion
Application of Artificial Intelligence and Machine Learning for the Prediction of Interbody Cage Height and Postoperative Alignment in Transforaminal Lumbar Interbody Fusion Open
Transforaminal lumbar interbody fusion (TLIF) is a commonly used technique for treating lumbar degenerative diseases. Here, we developed a fully computer-supported pipeline to predict the cage height and the degree of lumbar lordosis subtr…
View article: Feasibility and Toxicity of Interval-Compressed Chemotherapy in Asian Children and Young Adults with Sarcoma
Feasibility and Toxicity of Interval-Compressed Chemotherapy in Asian Children and Young Adults with Sarcoma Open
Twelve Asian patients with sarcoma received interval-compressed (ic-) chemotherapy scheduled every 14 days with a regimen of vincristine (2 mg/m2), doxorubicin (75 mg/m2), and cyclophosphamide (1200–2200 mg/m2) (VDC) alternating with a reg…
View article: Data from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas
Data from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas Open
Purpose: The new classification announced by the World Health Organization in 2016 recognized five molecular subtypes of diffuse gliomas based on isocitrate dehydrogenase (IDH) and 1p/19q genotypes in addition to histologic phenotyp…
View article: Supplemental Figures from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas
Supplemental Figures from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas Open
Figure S1. Inclusion Flowchart. Figure S2. Diagram of the image processing. Figure S3. Profiles of the Radiomic Features.
View article: Supplemental Figures from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas
Supplemental Figures from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas Open
Figure S1. Inclusion Flowchart. Figure S2. Diagram of the image processing. Figure S3. Profiles of the Radiomic Features.
View article: Data from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas
Data from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas Open
Purpose: The new classification announced by the World Health Organization in 2016 recognized five molecular subtypes of diffuse gliomas based on isocitrate dehydrogenase (IDH) and 1p/19q genotypes in addition to histologic phenotyp…
View article: Supplemental Tables from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas
Supplemental Tables from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas Open
Table S1 Full list of included TCIA glioma subjects for the training of the machine-learning models (KPS = Karnofsky Performance Scale) Table S2 MRI data integrity of the training dataset Table S3 Full list of included subjects as an indep…
View article: Supplemental Tables from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas
Supplemental Tables from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas Open
Table S1 Full list of included TCIA glioma subjects for the training of the machine-learning models (KPS = Karnofsky Performance Scale) Table S2 MRI data integrity of the training dataset Table S3 Full list of included subjects as an indep…
View article: Imaging Factors Associated With Poor Outcome in Patients With Basilar Artery Occlusion Treated With Endovascular Thrombectomy
Imaging Factors Associated With Poor Outcome in Patients With Basilar Artery Occlusion Treated With Endovascular Thrombectomy Open
Background Acute ischemic stroke attributed to basilar artery occlusion (BAO) results in high rates of death and significant morbidity. Endovascular thrombectomy an effective treatment for BAO, but imaging parameters that predict a favorab…
View article: Detection of Lumbar Spondylolisthesis from X-ray Images Using Deep Learning Network
Detection of Lumbar Spondylolisthesis from X-ray Images Using Deep Learning Network Open
Spondylolisthesis refers to the displacement of a vertebral body relative to the vertrabra below it, which can cause radicular symptoms, back pain or leg pain. It usually occurs in the lower lumbar spine, especially in women over the age o…
View article: Adrenal Crisis Mimicking COVID-19 Encephalopathy in a Teenager with Craniopharyngioma
Adrenal Crisis Mimicking COVID-19 Encephalopathy in a Teenager with Craniopharyngioma Open
There is an increasing number of reported cases with neurological manifestations of COVID-19 in children. Symptoms include headache, general malaise, ageusia, seizure and alterations in consciousness. The differential diagnosis includes se…
View article: LumbarNet: A Deep Learning Network for the Automated Detection of Lumbar Spondylolisthesis From X-Ray Images
LumbarNet: A Deep Learning Network for the Automated Detection of Lumbar Spondylolisthesis From X-Ray Images Open
A common spinal condition, spondylolisthesis is the presence of a relative back or forth displacement between the upper and lower vertebra due to one vertebra being oriented away from the smooth curvature of a normal spine. Aging-related i…
View article: Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study
Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study Open
Objective The timing and nature of surgical intervention for semisolid abnormalities are dependent upon distinguishing between adenocarcinoma- in-situ (AIS), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma (INV). We so…
View article: Myeloperoxidase exerts anti-tumor activity in glioma after radiotherapy
Myeloperoxidase exerts anti-tumor activity in glioma after radiotherapy Open
View article: Atypical Teratoid/Rhabdoid Tumor in Taiwan: A Nationwide, Population-Based Study
Atypical Teratoid/Rhabdoid Tumor in Taiwan: A Nationwide, Population-Based Study Open
Background: Atypical teratoid/rhabdoid tumor (AT/RT) is a rare, highly aggressive embryonal brain tumor most commonly presenting in young children. Methods: We performed a nationwide, population-based study of AT/RT (ICD-O-3 code: 9508/3) …
View article: Added Value of Rescue Devices in Intra-Arterial Thrombectomy: When Should We Apply Them?
Added Value of Rescue Devices in Intra-Arterial Thrombectomy: When Should We Apply Them? Open
Introduction: Recent trials have demonstrated the superior efficacy of mechanical thrombectomy over other medical treatments for acute ischemic stroke; however, not every large vessel occlusion (LVO) can be recanalized using a single throm…
View article: Serial quantitative chest computed tomography imaging as prognosticators of coronavirus disease 2019 pneumonia
Serial quantitative chest computed tomography imaging as prognosticators of coronavirus disease 2019 pneumonia Open
View article: Magnetic resonance radiomics features and prognosticators in different molecular subtypes of pediatric Medulloblastoma
Magnetic resonance radiomics features and prognosticators in different molecular subtypes of pediatric Medulloblastoma Open
Purpose Medulloblastoma (MB) is a highly malignant pediatric brain tumor. In the latest classification, medulloblastoma is divided into four distinct groups: wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4. We analyzed the magne…
View article: RARE-45. SARCOMAS INVOLVING THE CENTRAL NERVOUS SYSTEM AT INITIAL PRESENTATION IN CHILDREN AND YOUNG ADULTS: A CASE SERIES
RARE-45. SARCOMAS INVOLVING THE CENTRAL NERVOUS SYSTEM AT INITIAL PRESENTATION IN CHILDREN AND YOUNG ADULTS: A CASE SERIES Open
Sarcomas of bone, soft tissue, or neural origin may occasionally invade the central nervous system (CNS), causing diagnostic and therapeutic challenges. We aim to investigate the clinical features of sarcomas involving the CNS at initial p…
View article: Quantitative analysis of intraoperative electrocorticography mirrors histopathology and seizure outcome after epileptic surgery in children
Quantitative analysis of intraoperative electrocorticography mirrors histopathology and seizure outcome after epileptic surgery in children Open
View article: Upregulation of Protein Synthesis and Proteasome Degradation Confers Sensitivity to Proteasome Inhibitor Bortezomib in Myc-Atypical Teratoid/Rhabdoid Tumors
Upregulation of Protein Synthesis and Proteasome Degradation Confers Sensitivity to Proteasome Inhibitor Bortezomib in Myc-Atypical Teratoid/Rhabdoid Tumors Open
Atypical teratoid rhabdoid tumors (ATRTs) are among the most malignant brain tumors in early childhood and remain incurable. Myc-ATRT is driven by the Myc oncogene, which directly controls the intracellular protein synthesis rate. Proteaso…
View article: Benchmarking of computational error-correction methods for next-generation sequencing data
Benchmarking of computational error-correction methods for next-generation sequencing data Open
Background Recent advancements in next-generation sequencing have rapidly improved our ability to study genomic material at an unprecedented scale. Despite substantial improvements in sequencing technologies, errors present in the data sti…
View article: Molecular-Clinical Correlation in Pediatric Medulloblastoma: A Cohort Series Study of 52 Cases in Taiwan
Molecular-Clinical Correlation in Pediatric Medulloblastoma: A Cohort Series Study of 52 Cases in Taiwan Open
In 2016, a project was initiated in Taiwan to adopt molecular diagnosis of childhood medulloblastoma (MB). In this study, we aimed to identify a molecular-clinical correlation and somatic mutation for exploring risk-adapted treatment, drug…
View article: Computer-aided diagnosis of isocitrate dehydrogenase genotypes in glioblastomas from radiomic patterns
Computer-aided diagnosis of isocitrate dehydrogenase genotypes in glioblastomas from radiomic patterns Open
World Health Organization tumor classifications of the central nervous system differentiate glioblastoma multiforme (GBM) into wild-type (WT) and mutant isocitrate dehydrogenase ( IDH ) genotypes. This study proposes a noninvasive computer…