Results 211 to 220 of about 791,591 (290)

Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review

Journal of Medical Radiation Sciences, EarlyView.
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad, Aoife O Sullivan, Yasser H. Hadi, Laura McLaughlin, Andrew England, Mark McEntee   +5 more
wiley   +1 more source

Noninvasive ventilation in adults with blunt chest trauma: A meta-analysis of randomized clinical trials. [PDF]

Braz J Phys Ther
Werle RW, Delevati AL, Righi NC, Nunes GS, Signori LU, da Silva AMV.   +5 more
europepmc   +1 more source

Compliance With NICE Guidance for Cervical Spine Trauma Imaging: A Single Centre Retrospective Evaluation

Journal of Medical Radiation Sciences, EarlyView.
This study found that only two‐thirds of patients were managed in accordance with national guidance for C‐spine trauma, with younger patients more likely to have X‐rays rather than CT. Inappropriate imaging carries radiation dose implications and delays in care with subsequent risks, particularly where immobilisation is utilised.
Nikoll Walker, Jas Sawhney, Beverly Snaith   +2 more
wiley   +1 more source

Attenuating pulmonary injury and inflammation with C5/CD14 inhibition therapy: results from a porcine polytrauma model with blunt chest trauma. [PDF]

Eur J Trauma Emerg Surg
Mert Ü, Groven RVM, Qin K, Greven J, Balmayor ER, Mollnes TE, Huber-Lang M, van Griensven M, Hildebrand F, Horst K.   +9 more
europepmc   +1 more source

Navigating Acceptability: A Think‐Aloud Study of Subjective and Contextual Factors in Radiographic Image Rejection

Journal of Medical Radiation Sciences, EarlyView.
This study investigated how radiographers assess radiographic image quality using the think‐aloud technique. It reveals that image quality assessment is shaped by both technical standards and subjective, contextual factors, including patient condition and interprofessional dynamics. This highlights the importance of balancing standardised criteria with
Robin Decoster, Rachel Toomey, Michaela Davis, Marie‐Louise Ryan   +3 more
wiley   +1 more source

Extrapericardial tamponade following blunt chest trauma treated with subxiphoid uniportal video-assisted thoracoscopic surgery: a case report. [PDF]

J Cardiothorac Surg
Lee N, Youn SH, Kim Y, Kim M, Jheong J, Ha G, Kim Y.   +6 more
europepmc   +1 more source

An Exploration of Australian Radiographers' Perceptions of and Experiences With Imaging Autistic People

Journal of Medical Radiation Sciences, EarlyView.
Australian radiographers report confidence in delivering high‐quality, patient‐centred care for autistic patients, supported by collegial learning and practices consistent with international evidence. While current approaches are effective, support for targeted education to enhance communication and adaptability for diverse patient needs is evident ...
Yasmina Lin, Laura Di Michele, Frances Gray, Franziska Jerjen, Yobelli Alexandra Jimenez   +4 more
wiley   +1 more source

Management of minimal pneumothorax in penetrating chest trauma: Is observation safe? [PDF]

Ulus Travma Acil Cerrahi Derg
Duman S, Kassim R, Erdoğdu E, Ercan LD, Gök AFK, Özkan B, İlhan M, Kara M, Ertekin C.   +8 more
europepmc   +1 more source

StrataXRT Versus Mepitel Film for Prevention of Acute Radiation Dermatitis in Postmastectomy Radiotherapy: A Pooled Analysis of Intra‐Patient Randomised Trials

Journal of Medical Radiation Sciences, EarlyView.
In 120 patients receiving postmastectomy radiotherapy, each irradiated chest wall was divided into medial and lateral halves, which were randomised to Mepitel Film or StrataXRT. Mepitel Film reduced grade 2–3 acute radiation dermatitis and clinician‐assessed erythema and moist desquamation over time.
Shing Fung Lee, Patries M. Herst, Melissa L. James, Pui Lam Yip, Carminia Lapuz, Farshad Foroudi, Michael Chao   +6 more
wiley   +1 more source

Artificial intelligence models for predicting pulmonary complications in patients with chest trauma: a retrospective study. [PDF]

J Trauma Inj
Seok J, Lee J, Kang WS.
europepmc   +1 more source