Journal of Medical Imaging and Radiation Oncology最新文献

{"title":"Can Simple MRI Characteristics Predict Molecular Subgroups in Paediatric Medulloblastoma?","authors":"Nigel McGregor, Wilson Tao, Albert Prat Matifoll, Robert Goetti","doi":"10.1111/1754-9485.70209","DOIUrl":"https://doi.org/10.1111/1754-9485.70209","url":null,"abstract":"<p><strong>Introduction: </strong>Medulloblastoma is the most common malignant paediatric central nervous system (CNS) tumour and is classified using molecular subgroups: WNT, SHH and non-WNT/non-SHH. Subgroup identification guides prognosis and treatment, but requires molecular testing, which is not universally available. MRI is routine in assessment of CNS tumours, and the MRI characteristics may serve as surrogate markers for medulloblastoma subgrouping. This study aims to use simple MRI surrogate markers identified by Perreault et al., against local medulloblastoma cases and their final molecular outcome.</p><p><strong>Method: </strong>Retrospective cohort study of paediatric medulloblastomas at a single tertiary children's hospital between January 2015 and October 2025. MRI studies were reviewed by a paediatric neuroradiologist and a radiology registrar in consensus. Tumours were classified by location (cerebellar hemisphere, cerebellopontine angle/cerebellar peduncle (CP/CPA), or midline/fourth ventricle) and enhancement pattern (minimal/none = < 10%, heterogeneous = 10%-90%, solid = > 90%). Associations between MRI features and molecular subgroup were assessed.</p><p><strong>Results: </strong>Twenty-two cases were analysed: SHH 22.7% (5/22), WNT 13.6% (3/22) and non-WNT/non-SHH 63.7% (14/22). Most tumours were midline (90.9%), with two hemispheric lesions and no CP/CPA. Enhancement patterns were heterogeneous (54.5%), solid (36.4%) and minimal/none (9.1%). Hemispheric location was associated with SHH tumours (p = 0.043), and all WNT tumours demonstrated solid enhancement (p = 0.036). No other statistically significant associations were identified.</p><p><strong>Conclusion: </strong>MRI characteristics offer promising surrogate markers for medulloblastoma subtype. The only strong predictor we found corresponding with Perreault et al. is that hemispheric lesions are correlated with SHH-activated medulloblastoma. This supports further investigation of MRI markers as non-invasive and preoperative medulloblastoma subgroup prediction.</p>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149194813","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":"MR Imaging and Radiomics Features for Predicting Variant Histology of Bladder Cancer: A Single Centre Retrospective Analysis.","authors":"Jessie L Chai, Zhou Lan, Orysya Svystun, Mohd Javed Shaikh, Michael D Weintraub, Stephanie Siegmund, Michelle S Hirsch, Matthew Mossanen, Atul B Shinagare","doi":"10.1111/1754-9485.70193","DOIUrl":"https://doi.org/10.1111/1754-9485.70193","url":null,"abstract":"<p><strong>Introduction: </strong>Compare MRI features of bladder variant histology (VH) and pure urothelial carcinoma (UC) and determine if MRI radiomics features can predict VH.</p><p><strong>Methods: </strong>In this retrospective study, cystectomy pathology database search yielded 37 patients with tumours with more than 50% VH and preoperative MRI's. Cystectomy database search yielded 38 consecutive patients with pure UC and preoperative MRI's. Three radiologists characterized MRI T2, diffusion-weighted, apparent diffusion coefficient (ADC) maps and postcontrast features of bladder tumours. Inter-reader agreement was assessed using Gwet's agreement and intra-class coefficients. Another radiologist segmented bladder tumours and adjacent perivesical fat on T2-weighted and ADC images using radiomics software. Least absolute shrinkage and selection operator (LASSO) was used to determine radiomics features that distinguished VH from UC. Fifty datasets were prepared using multiple imputation approach, and variables were normalized for LASSO variable selection.</p><p><strong>Results: </strong>Patients with VH (mean age = 68, 54 (72%) men) included squamous cell (n = 17), sarcomatoid (n = 6), plasmacytoid (n = 6), adenocarcinoma (n = 4) and small cell (n = 4) variants. Inter-reader agreement was similar for VH and UC (p > 0.44). All readers characterized all squamous cell carcinoma as T2 intermediate. For two of three readers, 92%-100% of hypoenhancing tumours were VH at pathology whereas 74%-78% of hyperenhancing masses were UC (p = 0.001). Combination of 11 selected radiomics features had AUC of 0.98 for training and 0.95 for validation data for prediction of VH.</p><p><strong>Conclusion: </strong>Squamous cell carcinoma was T2 intermediate, and VH was more likely to hypoenhance compared to UC. Our radiomic model had excellent performance for predicting VH.</p>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149182250","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":"Retrospective Analysis of Conception Rates After Tubal Flushing With Saline at Hysterosalpingo-Contrast Sonography (HyCoSy).","authors":"Abby Mason, Rachael McEwing, Sarah Wakeman","doi":"10.1111/1754-9485.70208","DOIUrl":"https://doi.org/10.1111/1754-9485.70208","url":null,"abstract":"<p><strong>Background: </strong>Hysterosalpingo-contrast sonography (HyCoSy) with saline tubal flushing is widely used for fallopian tube assessment, but evidence regarding fertility outcomes remains limited. This study aimed to quantify conception outcomes within 12 months following HyCoSy with saline tubal flushing and identify clinical factors associated with conception.</p><p><strong>Methods: </strong>This retrospective observational study included individuals undergoing HyCoSy with saline tubal flushing at Pacific Radiology Canterbury between December 2013 and December 2023 with 12-month fertility follow-up. Primary outcomes were spontaneous and post-assisted reproductive technology (ART) conception within 12 months, livebirth or ongoing pregnancy and time to spontaneous conception. Multivariate logistic regression identified factors associated with conception, and time to conception was assessed using Kaplan-Meier analysis.</p><p><strong>Results: </strong>Among 313 participants, 178 (56.9%) conceived within 12 months. Spontaneous conception occurred in 45.8% of participants not undergoing ART and 74.3% of those undergoing ART. Livebirth or ongoing pregnancy occurred in 42.2%. Median time to spontaneous conception was 3.0 months (IQR 1.9-7.0). Longer infertility duration (aOR 0.987/month, 95% CI: 0.976-0.998), unilateral versus bilateral tubal patency (aOR 0.49, 95% CI: 0.24-0.998), Māori/Pasifika ethnicity (aOR 0.26, 95% CI: 0.08-0.87) and Asian (aOR 0.36, 95% CI: 0.18-0.70) versus European ethnicity were associated with reduced odds of conception.</p><p><strong>Discussion: </strong>Saline HyCoSy is a low-cost, non-radiating diagnostic investigation, with favourable spontaneous and ART conception outcomes observed in this cohort. These findings support its value in routine fertility assessment, whereas highlighting the importance of timely referral, tubal assessment and equitable access to fertility services.</p>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149182282","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":"Evaluating Postoperative Radiotherapy Pathways for Head and Neck Cancer Patients in a Regional Hospital in Australia.","authors":"Yu-Hsien Lin, Shannon Robards, Joel Abraham, Geordie Meekin, James Nightingale, Simon Liebenberg, Pedro Picco, Shivanshan Pathmanathan, Timothy Squire, Tao Daniel Xing","doi":"10.1111/1754-9485.70188","DOIUrl":"https://doi.org/10.1111/1754-9485.70188","url":null,"abstract":"<p><strong>Introduction: </strong>Timely initiation of postoperative radiotherapy (PORT) is critical in head and neck cancer, with delays exceeding 42 days associated with inferior outcomes. However, delays remain common, particularly in regional settings. This study aimed to evaluate targeted quality improvement (QI) interventions on PORT timeliness in a regional Australian tertiary hospital.</p><p><strong>Methods: </strong>A single-centre QI study was conducted at Townsville University Hospital. Five interventions targeting referrals, multidisciplinary coordination, and radiotherapy workflow were implemented. Serial audits were performed six-monthly for three cycles and compared with pre-intervention. The primary outcome was time from surgery to PORT and the proportion of patients exceeding 42 days. Secondary outcomes included key interval analyses across the treatment pathway.</p><p><strong>Results: </strong>A total of 78 patients were included (28 pre-intervention and 50 post-intervention). The QI interventions were associated with a 23 percentage-point absolute risk reduction in PORT delay (95% CI 2-42; p = 0.046). Median time to PORT decreased from 50 days pre-intervention to 42 days. Improvements were driven by reductions in early pathway delays, with surgery to radiation oncology (RO) consultation decreasing from 27 to 20.5 days. Timeliness of RO referrals for externally operated patients also improved (31 to 10 days). However, the interval from RO consult to PORT remained largely unchanged.</p><p><strong>Conclusion: </strong>This QI project improved early pathway efficiency and reduced extreme delays in PORT. However, the persisting interval between RO consult and PORT likely reflects underlying radiotherapy delivery capacity constraints. Future work should focus on scheduling, resource allocation, and workforce capacity to further improve timeliness to PORT.</p>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149167241","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":"From Proof-of-Concept to Clinical Practice: Reproducibility in Medical Imaging AI","authors":"Stanley A. Norris,&nbsp;Mohamed K. Badawy","doi":"10.1111/1754-9485.70088","DOIUrl":"10.1111/1754-9485.70088","url":null,"abstract":"&lt;p&gt;Artificial intelligence (AI) has rapidly transitioned from experimental research to regulated clinical deployment in medicine. As of 2026, the U.S. Food and Drug Administration (FDA) has authorised more than 1300 AI-enabled medical devices [&lt;span&gt;1&lt;/span&gt;], the majority within radiology [&lt;span&gt;2&lt;/span&gt;], reflecting an unprecedented expansion of commercially available clinical AI systems (Figure 1). Despite this growth, AI has not been widely embedded into routine workflows [&lt;span&gt;3&lt;/span&gt;], and robust evidence supporting clinical generalisability remains limited [&lt;span&gt;4&lt;/span&gt;]. Regulatory authorisation does not substitute for transparent, reproducible evidence of real-world clinical impact, and approval alone may be insufficient to establish durable clinical trust. Bridging the gap between innovation and clinical application requires a reproducible evidence base. Improving reporting and reproducibility practices is one of the most immediate steps toward accelerating responsible clinical translation.&lt;/p&gt;&lt;p&gt;Clinical adoption depends not only on algorithmic performance but also on scientific reliability. Over the past decade, numerous reporting frameworks have emerged to support transparent development and evaluation of AI systems [&lt;span&gt;5-11&lt;/span&gt;], with the recently proposed FUTURE-AI guidelines [&lt;span&gt;12&lt;/span&gt;] covering the entire lifecycle of healthcare AI. These initiatives collectively aim to ensure that AI studies describe datasets, model development, validation strategies, testing procedures, and clinical applicability with sufficient clarity to enable meaningful interpretation of results. For radiology researchers, these frameworks provide a practical structure during study design, guiding methodological rigor and encouraging deliberate consideration of clinical context and translational relevance.&lt;/p&gt;&lt;p&gt;Despite the availability of these frameworks, systematic reviews across AI in medical imaging have consistently identified reporting deficiencies within published studies [&lt;span&gt;13-19&lt;/span&gt;]. Essential methodological components are either incompletely or not reported at all. Consequently, many published AI studies cannot be independently validated or reliably compared.&lt;/p&gt;&lt;p&gt;Beyond limiting clinical translation, poor reporting also leads to inefficient use of research resources. When methodological detail is insufficient, subsequent investigators may unknowingly duplicate efforts, misinterpret findings, or expend time evaluating systems that cannot be meaningfully benchmarked. In a rapidly expanding field supported by substantial investment, this fragmentation risks slowing progress.&lt;/p&gt;&lt;p&gt;AI systems are increasingly positioned to influence diagnostic and procedural decisions, yet inadequate reporting limits interpretability and trust. Reported metrics often fail to characterise how systems behave under real clinical conditions. For clinicians, this determines whether reported performance can be expected to hold in their setting, in","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"70 7","pages":"607-610"},"PeriodicalIF":1.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1754-9485.70088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147623272","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":"Comment on “Combined Contrast-Enhanced Mammography and Digital Breast Tomosynthesis in Patients Suspected of Having Breast Cancer: A Prospective Comparison With Digital Mammography and Breast MRI—Findings of the CONTEST Study”","authors":"Deniz Esin Tekcan Sanli,&nbsp;Ahmet Necati Sanli","doi":"10.1111/1754-9485.70163","DOIUrl":"10.1111/1754-9485.70163","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"70 7","pages":"653-654"},"PeriodicalIF":1.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148630683","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":"Renal Biopsy Rates in Australia","authors":"Julian Yaxley","doi":"10.1111/1754-9485.70180","DOIUrl":"10.1111/1754-9485.70180","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"70 7","pages":"667-669"},"PeriodicalIF":1.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148900695","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":"Prophylactic Cranial Irradiation Versus Active MRI Surveillance in Small Cell Lung Cancer: Systematic Review and Meta-Analysis","authors":"Zhao Feng Liu,&nbsp;Amy Sylivris,&nbsp;Yuan-Hong Lin,&nbsp;Jennifer Ward,&nbsp;Marcus Cheng,&nbsp;Jodie Tham,&nbsp;Gemma D'Adamo,&nbsp;Sashendra Senthi","doi":"10.1111/1754-9485.70131","DOIUrl":"10.1111/1754-9485.70131","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Prophylactic cranial irradiation (PCI) has traditionally been a cornerstone of treatment in limited-stage and extensive-stage small cell lung cancer (SCLC). Recent evidence suggests that active MRI brain surveillance may result in comparable overall survival (OS) and progression-free survival (PFS). This systematic review and meta-analysis aims to compare patient outcomes between PCI and active MRI brain surveillance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>Medline, Embase, Cochrane Library, Scopus and Web of Science databases were searched from inception until 30th April 2025 to identify all studies comparing PCI against active MRI brain surveillance in adult SCLC patients. Risk ratios (RR) and hazard ratios (HR) were pooled and analysed using a random-effects model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Result</h3>\u0000 \u0000 <p>Fourteen studies comprising 2881 patients were included. In patients with limited-stage SCLC, PCI significantly improved OS (HR 0.67, 95% CI 0.53–0.84, <i>p</i> &lt; 0.01), PFS (HR 0.77, 95% CI 0.65–0.91, <i>p</i> &lt; 0.01), and brain metastasis (BM) incidence (RR 0.58, 95% CI 0.45–0.76, <i>p</i> &lt; 0.01). In patients with extensive-stage SCLC, PCI only significantly reduced BM risk (RR 0.49, 95% CI 0.29–0.81, <i>p</i> &lt; 0.05), but was not associated with significant improvement in OS (HR 0.89, 95% CI 0.61–1.28, <i>p</i> = 0.52) or PFS (HR 0.90, 95% CI 0.60–1.36, <i>p</i> = 0.62).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>While PCI reduces BM incidence in both limited-stage and extensive-stage SCLC, its survival benefits are confined to limited-stage SCLC. Active MRI brain surveillance may be preferred in extensive-stage disease due to comparable survival outcomes and reduced toxicity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Trial Registration</h3>\u0000 \u0000 <p>CRD42024529707 [PROSPERO]</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"70 7","pages":"686-695"},"PeriodicalIF":1.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1754-9485.70131","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148295430","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":"Radiation-Associated Internal Lymphoedema and Swallowing Impairment in Head and Neck Cancer: Insights From Imaging and Manometry","authors":"Li Chan,&nbsp;Reza Rahbari,&nbsp;Peter Wu,&nbsp;Michal Szczesniak,&nbsp;Julia Maclean","doi":"10.1111/1754-9485.70111","DOIUrl":"10.1111/1754-9485.70111","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Lymphoedema is a significant complication following head and neck cancer (HNC) treatment. We examined the use of computed tomography (CT) to detect internal lymphoedema (IL) based on serial assessments of volumes of swallowing structures before, during, and after radiation treatment. Volume changes were correlated with videomanometry and Functional Lumen Imaging Probe (EndoFLIP) findings to determine whether these assessments might provide insights into the impact of lymphoedema on swallowing dysfunction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>Data were collected retrospectively from 26 HNC patients who completed manometry, EndoFLIP and Sydney Swallow Questionnaire (SSQ) 12 months after radiotherapy. Seven swallowing structures were contoured on the CT simulation, the last cone-beam CT and the three-month PET/CT scan. Changes in the dimensions of swallowing structures were correlated with swallowing outcomes via linear regression models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>There was persistent swelling in three of the seven structures three months post-radiation, compared with baseline. These were the epiglottis (0.77cm³, 95% CI [0.50, 1.04], <i>p</i> &lt; 0.0001), base of tongue (6.92 cm³, [4.82, 9.03], <i>p</i> = 0.0001) and middle pharyngeal constrictors (2.77cm³, [1.63, 3.91], <i>p</i> = 0.0001). Total volume of all structures at three months was positively associated with SSQ scores (β = 31.198, [12.521, 49.875], <i>p</i> = 0.005). There was no significant association between the volume of swallowing structures and manometry or EndoFLIP measures.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>CT is a potentially valuable tool for evaluating IL in HNC patients following radiotherapy. IL of all swallowing structures was associated with worse self-reported dysphagia based on SSQ scores. These exploratory findings highlight the need for validation in a prospective study with a larger sample size.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"70 7","pages":"678-685"},"PeriodicalIF":1.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147864181","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":"Caution Regarding Isolated Interval SUVmax Assessment in FDG PET/CT Tumour Restaging","authors":"David Wong,&nbsp;Sepinoud Firouzmand,&nbsp;Simon Gray,&nbsp;Madeleine McGuiness","doi":"10.1111/1754-9485.70167","DOIUrl":"10.1111/1754-9485.70167","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"70 7","pages":"655-656"},"PeriodicalIF":1.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148765399","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}