Plummer Vinson Syndrome: A Rare Syndrome in Male with Review of the Literature by Priyadarshini Karthikeyan, Nalini Aswath, Ramesh Kumaresan

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Sivan classification system for diagnosis of jaw lesions based on visual volumetric analysis of 3-dimensional cone-beam computed tomographic images by Sivan Sathish

“…To validate this system, 10 raters—comprising 5 general dentists and 5 oral radiology specialists—assessed the CBCT images and diagnosed the lesions using the Sivan classification. …”
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Postoperative “Chimney” for Unintentional Renal Artery Occlusion after EVAR by Marco Franchin, Federico Fontana, Filippo Piacentino, Matteo Tozzi, Gabriele Piffaretti

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An Erupted Dilated Odontoma: A Rare Presentation by Gaurav Sharma, Amritpreet Nagra, Gurkeerat Singh, Archna Nagpal, Atul Soin, Vishal Bhardwaj

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Real-world safety profile of therapy with ibrutinib or acalabrutinib in patients with chronic lymphocytic leukemia/small lymphocytic lymphoma by Ramsay Hafer, Francesco Iadevaia, Thomas Z. Rohan, Teresa Duong, Maria Poluch, Gina Keiffer, Michael Li, Andres Ferber, Luca Laurenti, Alan S. Khoo, Pierluigi Porcu

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Misinterpretation of a skin fold artifact as pneumothorax on the chest x-ray of a trauma patient in Korea: a case report by Yoojin Park, Eun Young Kim, Byungchul Yu, Kunwoo Kim

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Postpartum Ovarian Vein Thrombophlebitis with Staphylococcal Bacteremia by Eduardo Parino, Eric Mulinaris, Edgardo Saccomano, Juan Cruz Gallo, Gabriel Kohan

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Agenesis of Submandibular Glands: A Report of Two Cases with Review of Literature by Medine Kara, Oğuz Güçlü, Fevzi Sefa Dereköy, Mustafa Resorlu, Gürhan Adam

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Intrasplenic Arterial Aneurysms during Pregnancy by Mahmoud M. S. Abu-khalaf, Sokiyna M. Al-Ameer, Moath M. Smadi, Ayman Qatawneh, Osama A. Smara, Azmy T. Hadidy

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Splenic Artery Bleeding into the Extraperitoneal Space Mimicking Mesenteric Injury: A Rare Case of Blunt Trauma by Sang Hyun Seo, Hyun Seok Jung, Chan Yong Park

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Evaluation Comparison Image Quality of Breath Hold (SSTSE) and Respiratory Triggering (TSE) Technique to the Examination of Magnetic Cholangiopancreatography (MRCP) by Nikky Anis Suroiyah, Risalatul Latifah, Sri Andreani Utomo

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Oral submucous fibrosis: a contemporary narrative review with a proposed inter-professional approach for an early diagnosis and clinical management by Naman R. Rao, Alessandro Villa, Chandramani B. More, Ruwan D. Jayasinghe, Alexander Ross Kerr, Newell W. Johnson

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Comparison of the Type and Severity of Nasal Septal Deviation between Chronic Rhinosinusitis Patients Undergoing Functional Endoscopic Sinus Surgery and Controls by Nafiseh Nikkerdar, Atena Karimi, Fatemeh Bazmayoon, Amin Golshah

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WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis by Carolyn B. McNabb, Ian D. Driver, Vanessa Hyde, Garin Hughes, Hannah L. Chandler, Hannah Thomas, Christopher Allen, Eirini Messaritaki, Carl J. Hodgetts, Craig Hedge, Maria Engel, Sophie F. Standen, Emma L. Morgan, Elena Stylianopoulou, Svetla Manolova, Lucie Reed, Matthew Ploszajski, Mark Drakesmith, Michael Germuska, Alexander D. Shaw, Lars Mueller, Holly Rossiter, Christopher W. Davies-Jenkins, Tom Lancaster, C. John Evans, David Owen, Gavin Perry, Slawomir Kusmia, Emily Lambe, Adam M. Partridge, Allison Cooper, Peter Hobden, Hanzhang Lu, Kim S. Graham, Andrew D. Lawrence, Richard G. Wise, James T. R. Walters, Petroc Sumner, Krish D. Singh, Derek K. Jones

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Complement inhibition targets a rich-club within the neuroinflammatory network after stroke to improve radiographic and functional outcomes by Youssef M. Zohdy, Tomas Garzon-Muvdi, Jonathan A. Grossberg, Daniel L. Barrow, Brian M. Howard, Gustavo Pradilla, Firas H. Kobeissy, Stephen Tomlinson, Ali M. Alawieh

“…The expression levels of the core genes identified within this network significantly explained radiological outcomes, including T2-signal hyperintensity (R2 = 0.57, P < 0.001), mean diffusivity (R2 = 0.52, P < 0.001), and mean kurtosis (R2 = 0.65, P < 0.001), correlating more strongly than non-core genes. …”
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Effectiveness and safety profile of mesenchymal stem cell secretome as a treatment for severe cases of COVID-19: a randomized controlled trial [version 2; peer review: 1 approved,... by Hary Sakti Muliawan, Erlina Burhan, Mia Elhidsi, Heri Wibowo, Triya Damayanti, Jeanne Adiwinata Pawitan, Isabella Kurnia Liem, Ismail Hadisoebroto Dilogo, Mira Yulianti, Adityo Susilo, Irandi Putra Pratomo, Raden Rara Diah Handayani, Rahyussalim -, Murdani Abdullah, Cosphiadi Irawan, Robert Sinto, Dita Aditianingsih

“…The secondary outcomes of this study included clinical outcome, laboratory outcome, radiological outcome, RT-PCR result conversion, and safety profile of MSC secretome. …”
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Clinical and imaging features of co-existent pulmonary tuberculosis and lung cancer: a population-based matching study in China by Fan Zhang, Fei Qi, Yi Han, Hongjie Yang, Yishuo Wang, Guirong Wang, Yujie Dong, Hongxia Li, Yuan Gao, Hongmei Zhang, Tongmei Zhang, Liang Li

“…This study aimed to investigate the clinical and radiological features of patients diagnosed with PTB-LC. …”
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Clinical and Radiographic Outcomes of Gap Osteotomy Versus Dorsal Opening Wedge Osteotomy for Extra-Articular Distal Radius Malunion and Internal Fixation Using a Volar Locking Pla... by Suhas Sondur, MS (Ortho), Anil K. Bhat, MS (Ortho), DNB (Ortho), Shyamasunder Bhat N, MS (Ortho), DNB (Ortho)

“…No bone graft was used in any patient. Radiological outcomes comprised of correction of radial height, inclination, ulnar variance, volar tilt and the correlation between the osteotomy defect and the distance from the distal radial articular surface with the union time. …”
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Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning by Sadam Hussain, Mansoor Ali Teevno, Usman Naseem, Daly Betzabeth Avendano Avalos, Servando Cardona-Huerta, Jose Gerardo Tamez-Pena

“…In this study, we compiled a multimodal dataset comprising imaging and textual data (combination of clinical and radiological features). We propose a DL-based multiview multimodal feature fusion (MMFF) strategy for breast cancer classification that utilizes images (four views of mammograms) and tabular data (extracted from radiological reports) from our newly developed in-house dataset. …”
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A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort by Yifan Jiang, Leyla Ebrahimpour, Philippe Després, Venkata SK. Manem

“…Furthermore, pretraining on large-scale radiological image datasets did not show the expected performance advantage over pretraining on general-purpose datasets. …”
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