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Review Cycle Records

SKELETAL RADIOLOGY

Springer SCIE Non-OA
2026 Emerging Zone 32025 CAS Zone 42025 JCR Q2
135.6Average days
103Median days
8Fastest days
551Longest days
2502025 publications

Paper Review Records

All Paper Review Records

12 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

24 days

A semimembranosus-related band directed toward the posterior horn of the lateral meniscus: MRI prevalence and relationship to posterior knee stabilizing structures

AuthorsOzgur Tosun; Bilgenur Aksoy; Su Ozgur; Cemal Kazimoglu; Aliye Tosun; Asli Irmak Akdogan

Affiliations1. Department of Radiology, İzmir Kâtip Çelebi University Atatürk Training and Research Hospital, İzmir, Türkiye; 2. Translational Pulmonary Research Center (EgeSAM), Ege University Faculty of Medicine, İzmir, Türkiye; 3. Department of Orthopaedics, İzmir Kâtip Çelebi University Atatürk Training and Research Hospital, İzmir, Türkiye; 4. Department of Physical Medicine and Rehabilitation, İzmir Kâtip Çelebi University Atatürk Training and Research Hospital, İzmir, Türkiye

Source PDF DOI Publisher page
134 days

Hierarchical classification of acute and chronic osteoporotic vertebral compression fractures of the lumbar spine using X-ray images

AuthorsJoohyun Kim; Keewon Shin; Sungjae An; Subum Lee; Woo-Keun Kwon; Younggyu Oh; Kyu-Chong Lee; Sungjin Park; Kyung-Sik Ahn; Junseok W. Hur

Affiliations1. Department of Neurosurgery, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea; 2. Department of Convergence Medicine, AMIST, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; 3. Department of Neurosurgery, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea; 4. Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea; 5. Institute of Human Behavior and Genetics, Korea University College of Medicine, Seoul, Republic of Korea; 6. Advanced Medical Imaging Institute, Korea University College of Medicine, Seoul, Republic of Korea; 7. National Research Laboratory for Convergence Degradation Biology, Korea University, Seoul, Republic of Korea; 8. Center for Genomic Research and Development, Korea University Anam Hospital, Seoul, Republic of Korea; 9. GeneCker Co., Ltd., Seoul, Republic of Korea

Source PDF DOI Publisher page
61 days

Preoperative deltoid CT attenuation predicts clinical outcomes and influences treatment selection in geriatric proximal humerus fractures

AuthorsMehmet Ali Bozca; Sinan Diril; Yusuf Altuntas; Enver Ipek; Malik Çelik; Cemal Kural

Affiliations1. Department of Orthopedics and Traumatology, Bakırköy Dr. Sadi Konuk Training and Research Hospital, Bakırköy, İstanbul, Turkey; 2. Orthopedics and Traumatology Department, Istanbul Sisli Hamidiye Etfal Training and Research Hospital, Istanbul, Turkey

Source PDF DOI Publisher page
136 days

Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone depiction of the lumbar spine

AuthorsCarina Obermüller; Ulf Bach; Fabio Zecca; Franziska Heidt; Maelene Lohezic; Sagar Mandava; Jose de Arcos Rodriguez; Florian Wiesinger; Roman Guggenberger; Egon Burian; Jonas Kroschke; Falko Ensle

Affiliations1. Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; 2. Department of Medical Imaging, Oncopole Claudius Regaud - IUCT Oncopole, Toulouse, France; 3. GE HealthCare, Zurich, Switzerland; 4. GE HealthCare, Atlanta, USA; 5. GE HealthCare, Valencia, Spain; 6. GE HealthCare, Munich, Germany; 7. Department of Radiology and Nuclear Medicine, Cantonal Hospital Winterthur, University of Zurich, Zurich, Switzerland

Source PDF DOI Publisher page
161 days

Diagnostic accuracy of artificial intelligence for spinopelvic parameters in standing total spine X-ray and limitations after fusion surgery

AuthorsTobias Winkler; Thilo Khakzad; Matthias Pumberger; Friederike Schömig; Matthias Becher; Torsten Diekhoff

Affiliations1. Department of Radiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Berlin, Germany; 2. Center for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Berlin, Germany; 3. Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Berlin, Germany; 4. Department of Radiology, Immanuel Clinic Ruedersdorf, Brandenburg Medical School, Ruedersdorf Bei Berlin, Germany

Source PDF DOI Publisher page
238 days

MRI-Based radiomic signature for predicting pathologic treatment response to neoadjuvant chemoradiotherapy and radioimmunotherapy in soft tissue sarcoma

AuthorsMajid Chalian; Ehsan Alipour; Atefe Pooyan; Sara Haseli; Firoozeh Shomal Zadeh; Chankue Park; Jose G. Mantilla; Austin D. Jones; Stephanie K. Schaub; Lee D. Cranmer; Paul E. Kinahan; Matthew J. Nyflot

Affiliations1. Department of Radiology, Division of Musculoskeletal Imaging and Intervention, University of Washington, UW Radiology-Roosevelt Clinic, Seattle, USA; 2. OncoRad Research Core, Department of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, USA; 3. Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, USA; 4. Department of Radiology, Mercy Catholic Medical Center - Trinity Health Mid-Atlantic, Darby, USA; 5. Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, USA; 6. Department of Pathology, NYU Grossman School of Medicine, New York, USA; 7. Department of Pathology, Brooke Army Medical Center, San Antonio, USA; 8. Department of Radiation Oncology, University of Washington, Seattle, USA; 9. Division of Radiation Oncology, Fred Hutchinson Cancer Center, Seattle, USA; 10. Division of Medical Oncology, University of Washington, Seattle, USA; 11. Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, USA; 12. Department of Radiology, University of Washington, Seattle, USA

Source PDF DOI Publisher page
27 days

Diagnostic accuracy of MRI for meniscal tear patterns in ACL-deficient knees: comparison with arthroscopic findings

AuthorsArtit Boonrod; Arunnit Boonrod; Watcharapong Wongsawiang; Punthip Thammaroj; Sermsak Sumanont; Punyawat Apiwatanakul

Affiliations1. Department of Orthopaedics, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; 2. Department of Radiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand

Source PDF DOI Publisher page
81 days

Usefulness of low dose (LD) CT arthrography (CTA) of the shoulder in diagnosis of rotator cuff pathology and SLAP lesions: comparison with standard dose (SD) CTA and correlation with MRI

AuthorsYeong Seo Yoo; Kyoung Yeon Lee; Jung-Ah Choi

Affiliations1. Department of Radiology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea

Source PDF DOI Publisher page
551 days

Mechanical axis image quality of the EOS imaging system compared to digital radiographs

AuthorsAhmed Alghamdi; Natalie Lee; Farag Shuweihdi; Amaka C. Offiah

Affiliations1. Division of Clinical Medicine, University of Sheffield, Sheffield, UK; 2. Radiologic Sciences Department, College of Applied Medical Sciences, Kingdom of Saudi Arabia, King Khalid University, Abha, Kingdom of Saudi Arabia; 3. Radiology Department, Sheffield Children’s NHS Foundation Trust, Sheffield, UK; 4. Leeds Institute of Health Sciences, University of Leeds, Leeds, UK

Source PDF DOI Publisher page
8 days

Standardized MRI nomenclature for knee meniscal lesions: SSR consensus panel report

AuthorsJie C. Nguyen; Tetyana Gorbachova; Dyan V. Flores; Bethany U. Casagranda; Majid Chalian; Kimia K. Kani; Megan K. Mills; Ogonna Kenechi Nwawka; Kevin G. Shea; Kurt P. Spindler; Kathryn J. Stevens; Jennifer S. Weaver; Adam C. Zoga; Robert D. Boutin

Affiliations1. Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, USA; 2. Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA; 3. Department of Radiology, Jefferson Einstein Hospital, Jefferson Health, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, USA; 4. Department of Radiology, University of Ottawa, Ottawa, Canada; 5. Department of Radiology, Allegheny Health Network, Pittsburgh, USA; 6. Department of Radiology, University of Washington, Seattle, USA; 7. Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA; 8. Department of Radiology, University of Utah, Salt Lake City, USA; 9. Department of Radiology and Imaging, Hospital for Special Surgery, New York, USA; 10. Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, USA; 11. Department of Orthopaedic Surgery, The Cleveland Clinic, Cleveland, USA; 12. Department of Radiology, Stanford University School of Medicine, Stanford, USA; 13. Department of Radiology, University of Texas at San Antonio, San Antonio, USA; 14. Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Medical College at Jefferson, Philadelphia, USA

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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review96.4 days

Median77 days

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