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Comparison of conventional diffusion-weighted imaging and multiplexed sensitivity-encoding combined with deep learning-based reconstruction in breast magnetic resonance imaging.
Magn Reson Imaging
December 2024
Department of Radiology, West China Hospital of Sichuan University, Chengdu, China. Electronic address:
Purpose: To evaluate the feasibility of multiplexed sensitivity-encoding (MUSE) with deep learning-based reconstruction (DLR) for breast imaging in comparison with conventional diffusion-weighted imaging (DWI) and MUSE alone.
Methods: This study was conducted using conventional single-shot DWI and MUSE data of female participants who underwent breast magnetic resonance imaging (MRI) from June to December 2023. The k-space data in MUSE were reconstructed using both conventional reconstruction and DLR.
Prevalence of Mitral Annular Disjunction at Cardiac MRI: Results from a Multicenter Registry.
Radiol Cardiothorac Imaging
December 2024
From the Department of Radiology, School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58-60, 20132 Milan, Italy (A. Palmisano, E.B., S.B., D.V., A.E.); Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy (A. Palmisano, E.B., M.C., D.V., A.E.); Academic Radiology Department of Translational Research, University of Pisa, Pisa, Italy (G.D.A., C.D.G., M.A., D.P., L.F., E.N.); Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Department of Radiodiagnostics, Università di Brescia-Spedali Civili, Brescia, Italy (P.R., N.d.M., M.R., D.F.); Department of Emergency Radiology, University Hospital Careggi, Florence, Italy (A.R., S.P., V.M.); Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy (L.M., G.C., N.G.); Department of Surgical Sciences, University of Turin, Turin, Italy (D.T., M.G., R.F.); Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, L'Aquila, Italy (P.P.); Department of Biotechnological and Applied Clinical Science, University of L'Aquila, L'Aquila, Italy (E.D.C.); Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital Policlinico, Messina, Italy (T.D., L.R.M.L., A.B.); Department of Radiology, Santa Maria delle Grazie Hospital, Pozzuoli, Italy (S.D.); Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy (A. Ponsiglione, R.A., M.I.); Department of Radiology, AOU Cagliari, University of Cagliari, Cagliari, Italy (M.P., R.C., L.S.); Department of Radiology, Ospedale del Mare-ASL NA1 Centro, Naples, Italy (G.F., C.L.); Department of Radiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy (V.S., S.S.); Department of Radiology, Ospedale Maggiore della Carità University Hospital, Novara, Italy (A.S., A.C.); and IRCCS Azienda Ospedaliero-Universitaria di Bologna, S. Orsola Hospital, University of Bologna, Italy (L.L.).
Purpose To determine the prevalence of mitral annular disjunction (MAD) in patients undergoing cardiac MRI for various clinical indications and to assess the association of MAD with arrhythmia, mitral valve prolapse (MVP), and myocardial alteration. Materials and Methods This study analyzed data from a retrospective observational registry of consecutive patients undergoing cardiac MRI for different clinical indications. Cardiac MRI examinations were performed from January 2019 to June 2019 at 13 Italian hospitals.
View Article and Find Full Text PDFImproving the prediction of patient survival with the aid of residual convolutional neural network (ResNet) in colorectal cancer with unresectable liver metastases treated with bevacizumab-based chemotherapy.
Cancer Imaging
December 2024
Division of Hematology/Oncology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Background: To verify overall survival predictions made with residual convolutional neural network-determined morphological response (ResNet-MR) in patients with unresectable synchronous liver-only metastatic colorectal cancer (mCRC) treated with bevacizumab-based chemotherapy (BBC).
Methods: A retrospective review of liver-only mCRC patients treated with BBC from December 2011 to Apr 2021 was performed. Patients who had metachronous liver metastases or received locoregional treatment before the initiation of BBC were excluded.
Reflector-guided localization compared with wire-guided localization for non-palpable breast cancer resection: organizational impacts and costs analysis.
J Gynecol Obstet Hum Reprod
December 2024
Université Paris Cité, Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Gynecological Oncology Surgery Department, 20 Rue Leblanc, Paris 75015, France; Environmental Toxicity, Therapeutic Targets, Cellular Signaling and Biomarkers, T3S, INSERM UMR-S 1124, Paris F-75006, France.
Background: Wire-guided localization (WGL) for non-palpable breast cancer lesions has drawbacks like wire migration, localization difficulties, and logistical challenges. Wireless methods, such as reflector-guided localization (RGL), address these issues and are compatible with breast MRI. This study evaluates the organizational and cost impacts of RGL compared to WGL.
View Article and Find Full Text PDFOn the feasibility of a robotic probe manipulator for echocardiography in the prone position.
Front Robot AI
November 2024
Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan.
Article Synopsis
- A robotic probe manipulator for echocardiography aims to lessen the physical strain on cardiac radiologists while safely performing procedures, particularly for patients in the prone position.
- Key design features include a combination of delta 3D printing technology and a soft end-effector, allowing the robot to operate without clamping issues while still reaching necessary cardiac windows.
- Although expert doctors could achieve clinically acceptable ultrasound images using the robotic system, the scanning process took longer compared to manual methods, and image quality scores were lower for medical students using the robot.
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