Evaluation of tablet ultrasound for routine abdominal interventional procedures

Ierardi, Anna Maria; Fontana, Federico; Giorlando, Francesca; Marchi, Giuseppe De; Pinto, Antonio; Radaelli, Alessandro; Schampaert, S Stéphanie; Tonolini, Massimo; Novario, Raffaele; Carrafiello, Gianpaolo

doi:10.1007/s11547-016-0641-6

Cited by 4 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar experiences have been reported for the detection of vertebral fractures on plain spinal radiography ( Murata et al, 2020 ), the diagnosis of tuberculosis ( Lakhani and Sundaram, 2017 ), and the estimation of bone age ( Dedouit et al, 2015 ). More generally, different DL methods have been applied to biomedical image analysis ( Ierardi et al, 2016 ; Trimboli et al, 2018 ; Villanueva-Meyer et al, 2019 ) and successfully used with various imaging modalities, such as breast ( Kallenberg et al, 2016 ; Zanotel et al, 2018 ; Geras et al, 2019 ; Hickman et al, 2021 ) and cardiac imaging ( van Assen et al, 2020 ), MSCT ( Lerouge et al, 2015 ; Kooi et al, 2017 ; Hu et al, 2020 ), MRI ( Havaei et al, 2017 ; Ariji et al, 2019 ; Figure 2 ), as well as in interventional radiology ( Gurgitano et al, 2021 ). AI can also be helpful to quantify lung involvement and predict prognosis in patients with COVID-19 pneumonia ( Belfiore et al, 2020 ; Akram et al, 2021 ; Cappabianca et al, 2021 ), and Harmon et al (2020) recently found that a series of DL algorithms trained in a diverse multinational cohort of 1280 patients can achieve up to 90.8% accuracy, with 84% sensitivity and 93% specificity in detecting COVID-19 pneumonia on chest CT examinations of 1337 patients.…”

Section: Artificial Intelligence: Basic Conceptsmentioning

confidence: 99%

Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging

et al. 2021

View full text Add to dashboard Cite

Artificial intelligence (AI) has seen dramatic growth over the past decade, evolving from a niche super specialty computer application into a powerful tool which has revolutionized many areas of our professional and daily lives, and the potential of which seems to be still largely untapped. The field of medicine and medical imaging, as one of its various specialties, has gained considerable benefit from AI, including improved diagnostic accuracy and the possibility of predicting individual patient outcomes and options of more personalized treatment. It should be noted that this process can actively support the ongoing development of advanced, highly specific treatment strategies (e.g., target therapies for cancer patients) while enabling faster workflow and more efficient use of healthcare resources. The potential advantages of AI over conventional methods have made it attractive for physicians and other healthcare stakeholders, raising much interest in both the research and the industry communities. However, the fast development of AI has unveiled its potential for disrupting the work of healthcare professionals, spawning concerns among radiologists that, in the future, AI may outperform them, thus damaging their reputations or putting their jobs at risk. Furthermore, this development has raised relevant psychological, ethical, and medico-legal issues which need to be addressed for AI to be considered fully capable of patient management. The aim of this review is to provide a brief, hopefully exhaustive, overview of the state of the art of AI systems regarding medical imaging, with a special focus on how AI and the entire healthcare environment should be prepared to accomplish the goal of a more advanced human-centered world.

show abstract

Section: Artificial Intelligence: Basic Conceptsmentioning

confidence: 99%

Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging

et al. 2021

View full text Add to dashboard Cite

show abstract

“…However, in recent years, advances in technology have enabled the development of medical devices that are more cost-effective, smaller and consume less power. Recently, considering diagnostic ultrasound (US) devices, pocket-sized mobile devices have become popular within the elds of obstetrics and gynecology [6,7], gastroenterology [8], cardiology [9], pulmonology [10], rheumatology [11] and emergency medicine [12]. Such devices are also expected to be critical equipment in rural areas and emerging economies [13].…”

Section: Page 3/12mentioning

confidence: 99%

Precision follicular self-measurement using a pocket-sized transabdominal ultrasound device

Fujita

Kikuchi²,

Enomoto

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: The purpose of this study was to determine the comparability of follicle diameters measured using a pocket-size transabdominal ultrasound (TAUS) device that produces images for self-assessment versus those measured using a conventional transvaginal ultrasound (TVUS) device. The pocket-sized device is fitted with a probe that can be connected to an electronic tablet for patient use and outputs follicle images for patient review.Methods: A prospective study was performed in 25 women (50 follicles) who underwent in vitro fertilization (IVF)/intracytoplasmic sperm injection between November 2019 and March 2020 to treat infertility. Patients were first provided with guidance from a doctor; then, they used the probe attached to the pocket-sized TAUS device to acquire the follicle images. The doctor then measured the follicle diameter using a TVUS device and compared the measurements with those obtained by viewing the images taken by the patient. The transverse cross-sectional follicle diameter measured on transabdominal images was defined as the abdominal transverse (AT) diameter. The sagittal and coronal cross-sectional follicle diameters measured on transvaginal images were defined as the vaginal sagittal (VS) and vaginal coronal (VC) diameters, respectively. The mean values of each parameter and the variance ratio of the difference between the TAUS and TVUS measurements were evaluated.Results: The results showed that the difference between AT-VS in the two imaging types was -0.382 mm (95% CI: -1.097-0.333 mm, P=0.288), whereas the difference between AT-VC was 0.342 mm (95% CI: -0.345-1.029 mm, P=0.322), and that between VS-VC was 0.724 mm (95% CI: 0.152-1.296 mm, P=0.014). The variance ratios for the differences between the TAUS and TVUS measurements and for the differences between the two TVUS cross-sectional measurements were σAT-VS2/σVS-VC2=1.56 and σAT-VC2/σVS-VC2=1.44, respectively.Conclusion(s): Despite the presence of some differences in precision due to differences in the method of imaging when patients performed follicular self-measurement using pocket-sized devices, there was little scattering. Therefore, this method can be used to measure follicle diameter at a precision that presents no issues at the clinical level.Clinical Trial Registration Number: 2019001

show abstract

“…Interventional radiologists use x-rays, computed tomography, magnetic resonance, or other imaging guidance to navigate small instruments, like catheters and needles, through blood vessels and organs to treat a variety of diseases. 1 , 2 Examples of treatments administered by interventional radiologists include angioplasty, biopsies, stenting, thrombolysis, embolization, and radiofrequency ablation. 1 , 3 , 4 , 5 , 6…”

Section: Introductionmentioning

confidence: 99%

Interventional radiology in gynecology and obstetric practice: Safety issues

Pinto

Giurazza

Califano

et al. 2021

Seminars in Ultrasound, CT and MRI

Self Cite

View full text Add to dashboard Cite

Interventional radiology is continuing to reshape current practice in many specialties of clinical care and the fields of gynecology and obstetrics are no exception. Imaging skills, clinical knowledge as well as vascular and non-vascular interventional technical ability, are essential to practice interventional radiology effectively. Patient safety is of paramount importance in interventional radiology as in all branches of medicine. Potential failures occur throughout successful procedures and are attributed to a spectrum of errors, including equipment unavailability, planning errors, and communication errors. These are mainly preventable by improved preprocedural planning and teamwork. Of all the targeted and effective actions that can be undertaken to reduce adverse events, the use of safety checklists might have a prominent role. The advantage of a safety checklist for interventional radiology is that it guarantees that human error in terms of forgetting key steps in patient preparation, intraprocedural care, and postoperative care are not forgotten.

show abstract

Evaluation of tablet ultrasound for routine abdominal interventional procedures

Abstract: The novel tablet US was found to provide sufficient image quality for the majority of routine interventional procedures. Dedicated accessories and additional experience with this new generation US device may be needed to replace bulky high-end US systems.

Cited by 4 publications

References 16 publications

Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging

Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging

Precision follicular self-measurement using a pocket-sized transabdominal ultrasound device

Interventional radiology in gynecology and obstetric practice: Safety issues

Contact Info

Product

Resources

About