| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Hiroki Sugiyama, Satoshi Tsutsumi, Aito Watanabe, Senshu Nonaka, Hidehiro Okura, Hisato Ishi. Simultaneous presentation of subcortical hemorrhage, subdural hemorrhage, and cerebral infarct in a hemiplegic patient. Radiology case reports. vol 17. issue 5. 2022-03-07. PMID:35251421. |
when intracranial hemorrhages appearing on ct do not adequately explain the patient's neurological findings, undetected cerebral ischemia should be assumed. |
2022-03-07 |
2023-08-13 |
Not clear |
| Candace L Ward, Ryan B Cohen, Samantha N Olafson, Austin B Goetz, Pak Leung, Benjamin J Moran, Jay J Strain, Afshin Parsikia, Mark J Kapla. Impact of Repeat Head Computed Tomography on Mild Traumatic Brain Injury Patients With Abbreviated Injury Score 1-2 Injuries. The American surgeon. 2022-02-28. PMID:35225007. |
patients presenting with traumatic intracranial hemorrhage (ich) routinely undergo repeat head computed tomography (ct) scans with the goal of identifying progressing hemorrhage early and providing timely intervention. |
2022-02-28 |
2023-08-13 |
Not clear |
| Sajeev A Mahendran, Oliver Flower, J Claude Hemphil. Head CT for the intensivist: 10 tips and pearls. Minerva anestesiologica. 2022-02-24. PMID:35199970. |
ct is particularly useful in identifying acute intracranial hemorrhage and this makes it often indispensable in the management of patients with traumatic brain injury and hemorrhagic stroke. |
2022-02-24 |
2023-08-13 |
Not clear |
| Aito Watanabe, Satoshi Tsutsumi, Hiroki Sugiyama, Senshu Nonaka, Hidehiro Okura, Hisato Ishi. Delayed traumatic intracerebral hemorrhage associated with dolichoectasia of the middle cerebral artery. Radiology case reports. vol 17. issue 4. 2022-02-16. PMID:35169431. |
cranial computed tomography (ct) showed elongated masses in the sylvian fissures without intracranial hemorrhage. |
2022-02-16 |
2023-08-13 |
Not clear |
| Cristoforo Pomara, Monica Salerno, Massimiliano Esposito, Francesco Sessa, Francesco Certo, Claudio Tripodo, Francesca Rappa, Giuseppe Maria Barbagall. Histological and immunohistochemical findings in a fatal case of thrombotic thrombocytopenia after ChAdOx1 nCov-19 vaccination. Pathology, research and practice. vol 231. 2022-02-10. PMID:35144085. |
blood parameters showed low platelets, and a ct scan showed an extensive left intracranial hemorrhage and the presence of an occlusive thrombus of the superior sagittal sinus. |
2022-02-10 |
2023-08-13 |
Not clear |
| Nikhil Kadam, Kumar Vm Ramavathu, Namita Kamath, Kaung Kyaw Mi. Imaging findings in a patient with suspected vaccine induced immune thrombotic thrombocytopenia. BJR case reports. vol 8. issue 1. 2022-02-09. PMID:35136646. |
the ct scan of the head showed a fairly large left temporoparietal intracranial hemorrhage with midline shift and subsequent ct venogram demonstratedthrombosis of the left transverse and sigmoid dural venous sinuses. |
2022-02-09 |
2023-08-13 |
Not clear |
| Osakpolor Ogbebor, Veena Pawate, Jean Woo, Kevin Kelly, Russell Cerejo, Nitin Bhano. Bartonella Endocarditis Presenting as Recurrent Cerebral Mycotic Aneurysm. Cureus. vol 13. issue 11. 2022-01-05. PMID:34984129. |
a ct of the head showed left-hemispheric intracranial hemorrhage (ich) likely secondary to ruptured left posterior cerebral artery (pca) fusiform aneurysm seen on catheter cerebral angiogram, which was treated with endovascular embolization. |
2022-01-05 |
2023-08-13 |
cat |
| Qi Zhou, Wenjie Zhu, Fuchen Li, Mingqing Yuan, Linfeng Zheng, Xu Li. Transfer Learning of The ResNet-18 and DenseNet-121 Model Used to Diagnose Intracranial Hemorrhage in CT Scanning. Current pharmaceutical design. 2021-12-28. PMID:34961458. |
transfer learning of the resnet-18 and densenet-121 model used to diagnose intracranial hemorrhage in ct scanning. |
2021-12-28 |
2023-08-13 |
Not clear |
| Qi Zhou, Wenjie Zhu, Fuchen Li, Mingqing Yuan, Linfeng Zheng, Xu Li. Transfer Learning of The ResNet-18 and DenseNet-121 Model Used to Diagnose Intracranial Hemorrhage in CT Scanning. Current pharmaceutical design. 2021-12-28. PMID:34961458. |
to verify the ability of the deep learning model in identifying five subtypes and normal images in noncontrast enhancement ct of intracranial hemorrhage. |
2021-12-28 |
2023-08-13 |
Not clear |
| Alberto Negro, Francesco Somma, Valeria Piscitelli, Giuseppe Maria Ernesto La Tessa, Carmine Sicignano, Fabrizio Fasano, Stefania Tamburrini, Ottavia Vargas, Gianvito Pace, Michele Iannuzzi, Alessandro Villa, Luigi Della Gatta, Carmela Chiaramonte, Ferdinando Caranci, Fabio Tortora, Vincenzo D'Agostin. Intracranial Hemorrhage from Dural Arteriovenous Fistulas: What Can We Find with CT Angiography? Tomography (Ann Arbor, Mich.). vol 7. issue 4. 2021-12-23. PMID:34941640. |
intracranial hemorrhage from dural arteriovenous fistulas: what can we find with ct angiography? |
2021-12-23 |
2023-08-13 |
Not clear |
| Alberto Negro, Francesco Somma, Valeria Piscitelli, Giuseppe Maria Ernesto La Tessa, Carmine Sicignano, Fabrizio Fasano, Stefania Tamburrini, Ottavia Vargas, Gianvito Pace, Michele Iannuzzi, Alessandro Villa, Luigi Della Gatta, Carmela Chiaramonte, Ferdinando Caranci, Fabio Tortora, Vincenzo D'Agostin. Intracranial Hemorrhage from Dural Arteriovenous Fistulas: What Can We Find with CT Angiography? Tomography (Ann Arbor, Mich.). vol 7. issue 4. 2021-12-23. PMID:34941640. |
in this paper the authors' goal was to verify the accuracy and utility of contrast-enhanced brain ct angiography (cta) for the identification and the characterization of dural arteriovenous fistulas (davfs) in patients who presented with brain hemorrhage compared to 3d digital subtraction angiography (3d dsa); (2) a retrospective study of 26 patients with davfs who presented with intracranial hemorrhage to our institution was performed. |
2021-12-23 |
2023-08-13 |
Not clear |
| Praveen Kumaravel, Sasikala Mohan, Janani Arivudaiyanambi, Nijisha Shajil, Hari Nishanthi Venkatakrishna. A Simplified Framework for the Detection of Intracranial Hemorrhage in CT Brain Images Using Deep Learning. Current medical imaging. vol 17. issue 10. 2021-12-09. PMID:33602101. |
a simplified framework for the detection of intracranial hemorrhage in ct brain images using deep learning. |
2021-12-09 |
2023-08-13 |
Not clear |
| Giuseppe Maria Della Pepa, Marcello Covino, Grazia Menna, Anna Maria Auricchio, Filippo Maria Polli, Alberto Manno, Benedetta Simeoni, Alessandro Olivi, Francesco Francesch. Are oral anticoagulants a risk factor for mild traumatic brain injury progression? A single-center experience focused on of direct oral anticoagulants and vitamin K antagonists. Acta neurochirurgica. 2021-12-01. PMID:34850288. |
given the discrepancies between guidelines, the aim of the present study was to quantify the association between oral anticoagulant therapy (either vitamin k antagonist (vka) or direct oral anticoagulant (doac)) and the post-traumatic intracranial hemorrhage worsening compared to admission ct scan. |
2021-12-01 |
2023-08-13 |
Not clear |
| François Mathieu, Helge Güting, Benjamin Gravesteijn, Miguel Monteiro, Ben Glocker, Evgenios N Kornaropoulos, Konstantinos Kamnistas, Claudia S Robertson, Harvey Levin, Daniel P Whitehouse, Tilak Das, Hester F Lingsma, Marc Maegele, Virginia F J Newcombe, David K Meno. Impact of Antithrombotic Agents on Radiological Lesion Progression in Acute Traumatic Brain Injury: A CENTER-TBI Propensity-Matched Cohort Analysis. Journal of neurotrauma. vol 37. issue 19. 2021-11-18. PMID:32312149. |
we calculated absolute changes in volume of intraparenchymal, extra-axial, intraventricular, and total intracranial hemorrhage (ich) between scans, and compared volume of hemorrhagic progression, proportion of patients with significant degree of progression (>25% of initial volume), proportion with new ich on follow-up ct, as well as clinical course and outcomes. |
2021-11-18 |
2023-08-13 |
human |
| Xiyue Wang, Tao Shen, Sen Yang, Jun Lan, Yanming Xu, Minghui Wang, Jing Zhang, Xiao Ha. A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans. NeuroImage. Clinical. vol 32. 2021-11-17. PMID:34411910. |
a deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head ct scans. |
2021-11-17 |
2023-08-13 |
Not clear |
| Xiyue Wang, Tao Shen, Sen Yang, Jun Lan, Yanming Xu, Minghui Wang, Jing Zhang, Xiao Ha. A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans. NeuroImage. Clinical. vol 32. 2021-11-17. PMID:34411910. |
acute intracranial hemorrhage (ich) is a life-threatening disease that requires emergency medical attention, which is routinely diagnosed using non-contrast head ct imaging. |
2021-11-17 |
2023-08-13 |
Not clear |
| Manuel Requena, Zeguang Ren, Marc Rib. Direct Transfer to Angiosuite in Acute Stroke: Why, When, and How? Neurology. vol 97. issue 20 Supplement 2. 2021-11-17. PMID:34785602. |
dtas allows bypassing of conventional imaging in the emergency room by ruling out an intracranial hemorrhage or a large established infarct with imaging performed before transfer to the thrombectomy-capable center in the angiography suite using flat-panel ct (fp-ct). |
2021-11-17 |
2023-08-13 |
Not clear |
| N Schmitt, Y Mokli, C S Weyland, S Gerry, C Herweh, P A Ringleb, S Nage. Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients. European radiology. 2021-11-13. PMID:34773465. |
automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced ct scans of acute stroke patients. |
2021-11-13 |
2023-08-13 |
Not clear |
| Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky, Amy Lin, Aditya Bharatha, Suradech Suthiphosuwan, Hui-Ming Lin, Jefferson R Wilson, Muhammad Mamdani, Errol Cola. A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography. Scientific reports. vol 11. issue 1. 2021-11-01. PMID:34426587. |
the purpose of this study was to demonstrate that ml model generalizability is achievable in medical imaging with the detection of intracranial hemorrhage (ich) on non-contrast computed tomography (ct) scans serving as the use case. |
2021-11-01 |
2023-08-13 |
Not clear |
| Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky, Amy Lin, Aditya Bharatha, Suradech Suthiphosuwan, Hui-Ming Lin, Jefferson R Wilson, Muhammad Mamdani, Errol Cola. A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography. Scientific reports. vol 11. issue 1. 2021-11-01. PMID:34426587. |
an ml model was trained using 21,784 scans from the rsna intracranial hemorrhage ct dataset while generalizability was evaluated using an external validation dataset obtained from our busy trauma and neurosurgical center. |
2021-11-01 |
2023-08-13 |
Not clear |