Journal of Medical Imaging and Radiation Oncology最新文献

{"title":"The RANZCR Artificial Intelligence Committee: Position statement on autonomous AI","authors":"Daniel Roos, Amy Yuen Meei Teh, Kirsten Fitzpatrick, Martin Gunn, the RANZCR Artificial Intelligence Committee","doi":"10.1111/1754-9485.13756","DOIUrl":"10.1111/1754-9485.13756","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 7","pages":"851-852"},"PeriodicalIF":2.2,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142250723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abstract","authors":"","doi":"10.1111/1754-9485.13760","DOIUrl":"https://doi.org/10.1111/1754-9485.13760","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 7","pages":"e1"},"PeriodicalIF":2.2,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abstract","authors":"","doi":"10.1111/1754-9485.13765","DOIUrl":"https://doi.org/10.1111/1754-9485.13765","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 7","pages":"e4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abstract","authors":"","doi":"10.1111/1754-9485.13762","DOIUrl":"10.1111/1754-9485.13762","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 7","pages":"e3"},"PeriodicalIF":2.2,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142250658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abstract","authors":"","doi":"10.1111/1754-9485.13761","DOIUrl":"https://doi.org/10.1111/1754-9485.13761","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 7","pages":"e2"},"PeriodicalIF":2.2,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-stimulated microbubbles to enhance radiotherapy: A scoping review","authors":"Giulia McCorkell,&nbsp;Terrence Piva,&nbsp;Declan Highgate,&nbsp;Masao Nakayama,&nbsp;Moshi Geso","doi":"10.1111/1754-9485.13740","DOIUrl":"10.1111/1754-9485.13740","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Primarily used as ultrasound contrast agents, microbubbles have recently emerged as a versatile therapeutic vector that can be ‘burst’ to deliver payloads in the presence of suitably optimised ultrasound fields. Ultrasound-stimulated microbubbles (USMB) have recently demonstrated improvements in treatment outcomes across a variety of clinical applications. This scoping review investigates whether this potential translates into the context of radiation therapy by evaluating the application of this technology across all three phases of radiation action.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Primary research articles, excluding poster presentations and conference proceedings, were identified through systematic searches of the PubMed NCBI/Medline, Embase/OVID, Web of Science and CINAHL/EBSCOhost databases, with additional articles identified via manual Google Scholar searching. Articles were dual screened for inclusion using the Covidence systematic review platform and classified against all three phases of radiation action.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Overall, 57 eligible publications from a total of 1389 identified articles were included in the review, with studies dating back to 2012. Study heterogeneity prevented formal statistical analysis; however, most articles reported improved outcomes using USMB in the presence of radiation compared to that of radiation alone. These improvements appear to result from the use of USMB as either a biovascular disruptor causing tumour cell damage via indirect mechanisms, or as a localised treatment vector that directly increases tumour cell uptake of other therapeutic and physical agents designed to enhance radiation action.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>USMB demonstrate exciting potential to enhance the effects of radiation treatments due to their versatility and capacity to target all three phases of radiation action.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 6","pages":"740-769"},"PeriodicalIF":2.2,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1754-9485.13740","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term outcomes and risk profile of cT3N0 breast cancer treated with neoadjuvant chemotherapy and curative surgery","authors":"Young Seob Shin,&nbsp;Jae Ho Jeong,&nbsp;Il Yong Chung,&nbsp;Jaeha Lee,&nbsp;Su Ssan Kim,&nbsp;Seung Do Ahn,&nbsp;Jong Won Lee,&nbsp;Byung Ho Son,&nbsp;Jinhong Jung","doi":"10.1111/1754-9485.13746","DOIUrl":"10.1111/1754-9485.13746","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>We evaluated the treatment outcomes and failure patterns in cT3N0 breast cancer patients classified for rigorous pretreatment evaluation and treated with neoadjuvant chemotherapy (NAC) and curative surgery.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We reviewed the records of 87 cT3N0 breast cancer patients who received NAC and curative surgery between 2000 and 2015. The clinical high-risk group was defined as having two or more risk factors: age &lt; 40, histologic grade 3, lymphovascular invasion, hormone receptor negativity, and Ki-67 labeling index &gt;20%.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of the patients, 84 (96.6%) and 79 (90.8%) were initially evaluated using magnetic resonance imaging and positron emission tomography/computed tomography. Most patients received anthracycline based NAC regimen (<i>n</i> = 69, 79.3%) and modified radical mastectomy (<i>n</i> = 61, 70.1%). During a 91.5-month median follow-up, ten patients experienced distant metastasis (DM) only, two had isolated local recurrence, one had local recurrence and DM, and another had local recurrence, regional recurrence, and DM. The 5-year rates of locoregional recurrence, DM, any recurrence (AR), and overall survival (OS) were 1.2%, 11.6%, 11.6%, and 90.8%, respectively. The risk group was an independent prognostic factor of recurrence, and the high-risk group had worse rates of DM (19.2% vs. 0%, <i>P</i> = 0.009), AR (19.2% vs. 0%, <i>P</i> = 0.016) and OS (82.8% vs. 100%, <i>P</i> = 0.001).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Patients with cT3N0 breast cancer classified for rigorous pretreatment evaluation and treated with NAC and radical surgery had favourable oncological outcomes. A clinical risk group based on clinical and immunohistochemical risk factors was an excellent predictor of survival and recurrence.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 7","pages":"819-827"},"PeriodicalIF":2.2,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preoperative breast MR imaging influences surgical management in patients with invasive lobular carcinoma","authors":"Stephanie Aroney,&nbsp;Thomas Lloyd,&nbsp;Simone Birch,&nbsp;Belinda Godwin,&nbsp;Kylie Walters,&nbsp;Jeremy Khoo,&nbsp;Simone Geere,&nbsp;Linda Shen,&nbsp;Petar Vujovic,&nbsp;Ian Bennett,&nbsp;Gorane Santamaría","doi":"10.1111/1754-9485.13754","DOIUrl":"10.1111/1754-9485.13754","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>The purpose of the study is to assess the role of preoperative magnetic resonance (MR) imaging on the surgical management of invasive lobular carcinoma (ILC) and to evaluate whether breast density and background parenchymal enhancement (BPE) influence surgical treatment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This retrospective study was conducted on 56 patients who were diagnosed with ILC between 2014 and 2020. All patients had mammogram and ultrasound. Preoperative MRI was available in 34 patients. Age, menopausal status, breast density, BPE, multifocality/multicentricity and surgical treatment were collected.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Mean pathological tumour size was 36.4 mm (range 5–140 mm). Dense breasts had larger tumours compared to non-dense breasts (<i>P</i> = 0.072). Of the 34 patients with MRI, 6 opted for mastectomy. Of the remaining 28 cases, MRI findings upgraded surgery to mastectomy in 54% (15/28) because mammogram/ultrasound underestimated tumour extent in 25% (7/28), or multifocal/multicentric disease was identified in 29% (8/28). Tumour size was underestimated by MRI in 7% (2/28). In the non-MRI subgroup, 64% (14/22) of patients underwent breast-conserving surgery, but 29% of them (4/14) required a second-stage mastectomy due to extensive margin involvement. There was no difference in mastectomy rate between patients with MRI (62%) and without MRI (55%) (<i>P</i> = 0.061). Tumour size correlation between MRI and histopathology demonstrated an excellent intraclass correlation coefficient (<i>P</i> &lt; 0.001). Surgical treatment recommendation was not significantly impacted by breast density or BPE.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Breast MRI improves surgical management of patients with ILC in providing additional diagnostic information often missed with standard imaging modalities, and without increasing mastectomy rate. Surgical treatment is not impacted by breast density or BPE.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 6","pages":"680-686"},"PeriodicalIF":2.2,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliable technique for acromion density assessment on CT","authors":"Shu Su,&nbsp;Xiao Chen,&nbsp;Sarah Warby,&nbsp;Julie Tate,&nbsp;Penelope Brooke,&nbsp;Shane Barwood,&nbsp;Gregory Hoy,&nbsp;Brendan Soo,&nbsp;Richard Dallalana,&nbsp;Warwick Wright,&nbsp;Andrew H Rotstein","doi":"10.1111/1754-9485.13742","DOIUrl":"10.1111/1754-9485.13742","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Acromial stress fracture (ASF) is an uncommon but acknowledged complication of reverse total shoulder arthroplasty (RTSA). There is no standardised method to directly measure the bone mineral density of the acromion to allow a detailed analysis of the potential mechanism of ASF. The aim is to establish a reliable and reproducible technique for measurement of acromial density on computer tomography (CT).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A retrospective review on CT scans obtained for three groups of patients: those planned for RTSA (<i>n</i> = 26); age and gender-matched non-operative (<i>n</i> = 26); and young non-operative patients (<i>n</i> = 28) were performed. Standardised axial images of 1 mm thickness at 1 mm increments were created following horizontal straightening on the coronal and sagittal views. To assess inter-rater reliability, two senior CT radiographers performed density measurements using standard region of interest (ROI) tool on the CTs with the ROI placed on the mid (ROI 1) and posterior (ROI 2) acromion. ROIs were selected as the most common locations for acromion fracture post RTSA. Measurements were repeated at least 6 weeks apart. Intra-class coefficients (ICC) were used to determine intra- and inter-rater reliability.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>ICCs demonstrated good to high intra-rater and inter-rater reliability for both ROI 1 and ROI 2 across all three groups. The lower margin of 95% confidence intervals was more than 0 for all intra-class coefficients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study demonstrates a reliable method of measuring acromion density on CT. This method can be used to assess bone mineral density in the clinical setting and in future studies investigating ASF following RTSA.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 6","pages":"673-679"},"PeriodicalIF":2.2,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic review of interventions aimed at improving the quality of referrals to radiology","authors":"Chi Lap Nicholas Tsang,&nbsp;David Luong,&nbsp;Troy Stapleton","doi":"10.1111/1754-9485.13736","DOIUrl":"10.1111/1754-9485.13736","url":null,"abstract":"<div>\u0000 \u0000 <p>Despite ubiquitous use of medical imaging in daily medical practice, the quality of referrals varies significantly across a variety of practice types and locations. This systematic review summarises studies in the literature that have employed interventions aimed at improving radiology referrals, excluding clinical decision support software. A systematic review of literature was conducted in PubMed, EMBASE, Scopus, and Cochrane. Two reviewers independently identified studies for inclusion. All studies that included interventions with any outcome measure were included. Any irrelevant studies, non-English studies or not retrievable studies were excluded. Studies were grouped into Education, Feedback, Rationing, Penalties, and Other. The outcomes of the studies were summarised and qualitatively analysed due to anticipated heterogeneity. Four thousand six hundred and forty-two studies were identified throughout PubMed, EMBASE, Scopus, and Cochrane. One hundred and eighty-seven duplicates were removed and 4436 abstracts were screened. Two hundred and forty were identified on the first phase of the screening with 167 then excluded for non-relevancy. Seventy-five full studies were included in the final analysis following the addition of 2 additional studies. Fifty-seven studies were grouped into Education, 10 into Feedback, 4 into Rationing, 8 into Penalties, 9 into Other and 11 containing multiple. Eighty-four percent of the studies reported an improvement in the quality of the referrals. Despite a variable rate of quality referrals, there are many interventions that radiology departments across the world can utilise to improve the referral process.</p>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"68 6","pages":"687-695"},"PeriodicalIF":2.2,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142125960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}