British Journal of Radiology最新文献

{"title":"[18F]F-DCFPyL PET/MRI radiomics for intraprostatic prostate cancer detection and metastases prediction using whole-gland segmentation.","authors":"Seyed Ali Mirshahvalad, Adriano Basso Dias, Claudia Ortega, Jorge Andres Abreu Gomez, Satheesh Krishna, Nathan Perlis, Alejandro Berlin, Theodorus van der Kwast, Kartik Jhaveri, Sangeet Ghai, Ur Metser, Anna Theresa Santiago, Patrick Veit-Haibach","doi":"10.1093/bjr/tqaf014","DOIUrl":"10.1093/bjr/tqaf014","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate [18F]F-DCFPyL PET/MRI whole-gland-derived radiomics for detecting clinically significant (cs) prostate cancer (PCa) within the prostate gland and predicting extra-prostatic metastasis (N and M staging).</p><p><strong>Methods: </strong>In this single-centre, retrospective study, therapy-naïve PCa patients who underwent [18F]F-DCFPyL PET/MRI were included. Whole-prostate segmentation was performed. Feature extraction from each modality was done. The selection of potential variables was made through regularized binomial logistic regression. The oversampled training data were used to train binomial logistic regression for each outcome. The estimates of the models were calculated, and the mean accuracy was reported. The trained models were assessed on the test data for comparative evaluation of performance.</p><p><strong>Results: </strong>A total of 103 patients (mean age = 65; mean PSA = 23.4) were studied. Among them, 89 had csPCa and 20 had metastatic disease. There were five radiomics variables selected for the International Society of Urological Pathology Grade Group (ISUP GG) ≥ 2 from T2w, ADC, and PET. To detect N1, five radiomics variables were selected from the T2w and PET. For M1, four radiomics variables were selected from T2w and ADC. Regarding the performance of models for the prediction of csPCa, the imaging-based hybrid model (T2w + PET) provided the highest AUC (0.98). The performance of N1 models showed the highest AUC (0.80) for T2w + PET. To predict M1, the T2w + ADC model showed the highest AUC (0.93).</p><p><strong>Conclusions: </strong>Whole-gland PET/MRI radiomics may provide a reliable model to predict csPCa. Also, acceptable performance was reached for predicting metastatic disease in our limited population. Our findings may support the value of whole-gland radiomics for non-invasive csPCa detection and prediction of metastatic disease.</p><p><strong>Advances in knowledge: </strong>Whole-gland PET/MRI radiomics, a less operator-dependent segmentation method, can be potentially used for treatment personalization in PCa patients.</p><p><strong>Trial registration: </strong>NCT03535831. Registered 2018; NCT03149861. Registered 2017.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1606-1614"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12515043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028054","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":"Something old something new-introduction to the ninth edition TNM classification of lung cancer.","authors":"Daria Kifjak, Rebecca Mura, Natallia Khenkina, Svitlana Pochepnia, Benedikt H Heidinger, Ruxandra-Iulia Milos, Lucian Beer, Helmut Prosch","doi":"10.1093/bjr/tqaf161","DOIUrl":"10.1093/bjr/tqaf161","url":null,"abstract":"<p><p>The tumour, node, and metastasis (TNM) classification system is fundamental for describing the anatomical extent of lung cancer, encompassing the primary tumour (T), lymph node involvement (N), and distant metastases (M). It is crucial for patient stratification, treatment planning, and survival prognosis. Clinical staging (cTNM) relies on imaging and physical exams, while pathological staging (pTNM) uses surgical specimens. Advances in tumour biology, imaging, surgery, and treatments necessitate periodic updates to ensure the system reflects current knowledge and practices effectively. The International Association for the Study of Lung Cancer (IASLC), alongside the American Joint Committee on Cancer (AJCC) and Union for International Cancer Control (UICC), updates the system through a global, multidisciplinary approach supported by international data and statistical analysis. The ninth edition of the TNM classification, effective January 1, 2025, introduces revisions to the N and M categories while the T categories remain identical. N2 (ipsilateral mediastinal nodal disease) is now divided into N2a (single lymph node station involvement) and N2b (multiple N2 stations involvement). Similarly, M1c category is split into M1c1 (metastases confined to 1 organ system) and M1c2 (metastases involving multiple organ systems). These updates aim to improve the accuracy and utility of lung cancer staging in clinical practice and research.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1543-1555"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12515044/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144636275","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":"Reevaluating prostate imaging-reporting and data system 3 lesions upgraded to 4: the emergence of a new subgroup?","authors":"Diğdem Kuru Öz, Sezer Nil Yılmazer Zorlu, Zeynep Eskalen, Nuray Haliloğlu, Ayşe Erden","doi":"10.1093/bjr/tqaf187","DOIUrl":"10.1093/bjr/tqaf187","url":null,"abstract":"<p><strong>Objectives: </strong>The study aims to evaluate Prostate Imaging-Reporting and Data System 4 (PI-RADS 4) lesions, including those with primary diffusion restriction (diffusion-weighted imaging score 4) and those upgraded from PI-RADS 3 due to positive dynamic contrast-enhanced findings, and to compare outcomes between these groups while also assessing cancer detection rates and prostatitis between upgraded cases and PI-RADS 3 lesions.</p><p><strong>Methods: </strong>In this single-center cohort study, peripheral zone lesions classified as PI-RADS 3 and 4 by multiparametric MRI and biopsied via MRI/transrectal ultrasound-guided targeted biopsy were analyzed.</p><p><strong>Results: </strong>Of 420 peripheral zone lesions from 272 patients, 202 were PI-RADS 3, 81 PI-RADS 3 + 1, and 137 PI-RADS 4. Cancer detection rates significantly differed between PI-RADS 3 + 1 and PI-RADS 4 (38.3% vs 73% for overall cancer; 6.2% vs 30.7% for clinically significant cancer, P < .001). PI-RADS 3 + 1 lesions had significantly higher cancer detection rates than PI-RADS 3 lesions (38.3% vs 19.8%, P  = .001). Prostatitis was significantly more prevalent in PI-RADS 3 (34.7%) and PI-RADS 3 + 1 (29.6%) than in PI-RADS 4 (10.9%) lesions (P < .001).</p><p><strong>Conclusions: </strong>PI-RADS 3 + 1 lesions show significantly different cancer detection rates from both PI-RADS 3 and 4, suggesting they should be managed as a distinct entity. Higher prevalence of prostatitis in PI-RADS 3 + 1 lesions indicates that clinical evaluation for inflammatory conditions may help reduce unnecessary biopsies in this subgroup.</p><p><strong>Advances in knowledge: </strong>PI-RADS 3 + 1 lesions show higher cancer detection than PI-RADS 3 but lower than PI-RADS 4, and are more frequently associated with prostatitis than PI-RADS 4. These findings support individualized management to avoid unnecessary biopsies.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1683-1689"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12515037/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144752450","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":"Diagnostic performance of diffusion tensor imaging and T2-mapping in diabetic peripheral neuropathy: age- and diabetes duration-matched study using multi-parametric approach.","authors":"Won Nyoung Yun, Eunsun Oh, Hyeong Kyu Park, Hyun-Joo Kim, Jang Gyu Cha, Seong Sook Hong, Dong Won Byun, Young Cheol Yoon, Boda Nam, Eun Ji Lee, Jiyoung Hwang","doi":"10.1093/bjr/tqaf091","DOIUrl":"10.1093/bjr/tqaf091","url":null,"abstract":"<p><strong>Objective: </strong>We aim to evaluate the diagnostic performances of diffusion tensor imaging (DTI) and T2-mapping derived parameters for detecting diabetic peripheral neuropathy (DPN), and whether their combination could further improve the diagnostic performance.</p><p><strong>Methods: </strong>This prospective study included 17 diabetes patients with DPN, 16 diabetes patients without DPN, and 12 healthy controls, who underwent 3T knee MRI, including axial T2-weighted Dixon sequence, DTI sequence, and T2-mapping. The mean fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD), and tibial nerve T2 relaxation time were calculated. The receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance of DTI and T2-mapping parameters for the tibial nerve.</p><p><strong>Results: </strong>The FA values of the tibial nerve in diabetic patients with and without DPN were significantly lower than those of healthy controls. The T2 relaxation times of the tibial nerve in patients with diabetes with and without DPN were significantly longer than those of healthy controls. In single-parameter model, FA showed superior diagnostic performance for detecting DPN. In multiparameter model, the combination of FA and T2 relaxation times showed the best diagnostic performance for detecting DPN.</p><p><strong>Conclusion: </strong>The multiparameter model exhibited an overall improved performance in detecting DPN.</p><p><strong>Advances in knowledge: </strong>The multiparameter model combining FA and T2 relaxation time has demonstrated improved diagnostic performance for detecting DPN.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1690-1697"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144774712","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":"A new era at BJR.","authors":"Stuart A Taylor, Andrew Nisbet","doi":"10.1093/bjr/tqaf185","DOIUrl":"10.1093/bjr/tqaf185","url":null,"abstract":"","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1541-1542"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741271","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":"Predictive value of baseline CT radiomics for Jianpibushen Prescription efficacy in femoral head necrosis.","authors":"Shan Shi, Lingrui Yang, Yangyang Fan, Minghong Sun, Huan Liu, Li Sun, Feng Zhang, Haibin Tong, Yunyao Ma, Lei Wang, Limin Xie, Tong Yu, Wenjing Chen, Xuedong Yang, Qinghua Su","doi":"10.1093/bjr/tqaf171","DOIUrl":"10.1093/bjr/tqaf171","url":null,"abstract":"<p><strong>Objectives: </strong>To explore the predictive value of baseline CT radiomics for the 6-month and 12-month treatment efficacy of the Jianpibushen Prescription in femoral head necrosis (FHN), with the goal of optimizing treatment strategies.</p><p><strong>Methods: </strong>Retrospectively, ARCO stage 2-4 FHN patients who underwent hip joint CT scans before receiving Jianpibushen Prescription treatment from September 2016 to December 2023 were collected. 315 patients (M/F = 210/105, median age 39.0 years) were included. A total of 1928 radiomics features were extracted, downscaled and filtered. Finally, features were selected to construct the radiomics predictive model of the efficacy at 6 and 12 months.</p><p><strong>Results: </strong>For predicting the treatment efficacy at 6 months, 8 features were selected to build model using Bootstrap Aggregating Decision Tree (Bagging). The model attained an area under curve (AUC) of 0.999 (0.997-1.0) in the training set and 0.736 (0.638-0.834) in the validation set. For predicting the 12-month treatment efficacy, a comparable radiomics model was constructed with Random Forest, with AUCs of 0.995 (0.991-0.999) in the training set and 0.783 (0.676-0.89) in the validation set.</p><p><strong>Conclusion: </strong>Baseline CT radiomics features can relatively accurately predict the 6-month and 12-month efficacy of Jianpibushen Prescription, thus facilitating individualized and precise clinical treatment.</p><p><strong>Advances in knowledge: </strong>For the first time, this study established a relatively accurate prediction model for the 6-month and 12-month efficacy of the Jianpibushen Prescription on FHN, based on baseline CT radiomics features, thus optimizing treatment strategies.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1650-1657"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688924","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":"Comparison of the different imaging time points in delayed dual-energy CT extracellular volume in assessing the staging of liver fibrosis.","authors":"Chuanlin Yu, Wanjing Zhou, Yingjie Peng, Ting Dai, Peng Liu, Yaqiong He","doi":"10.1093/bjr/tqaf177","DOIUrl":"10.1093/bjr/tqaf177","url":null,"abstract":"<p><strong>Objective: </strong>To stage liver fibrosis by using delayed dual-energy CT (DECT) and determine the optimal delay time for acquisition of delayed CT scans.</p><p><strong>Materials and methods: </strong>This prospective study included patients with chronic liver disease, who were scheduled to undergo multiphase abdominal DECT (including 3-min and 5-min delayed periods) and liver biopsies from January 2021 to December 2021. The iodine densities of the parenchyma and aorta were measured and extracellular volume (ECV) was calculated. Kendall rank correlation was employed to assess the relationship between the ECV and the fibrosis stage. Comparison of ECVs was made for different stages of liver fibrosis. In addition, the diagnostic performances of ECV for staging liver fibrosis were evaluated by using receiver operating characteristic (ROC) curve analysis, and area under the curve (AUC) was calculated.</p><p><strong>Results: </strong>A total of 90 participants were evaluated, and distributed as follows: 10 in S1, 29 in S2, 25 in S3, and 26 in S4. Both ECV of 3-min delayed (ECV3 min) and 5-min delayed (ECV5 min) showed a positive correlation with the stage of liver fibrosis (ECV3 min: τ = 0.478, P < .01, moderate correlation; ECV5 min: τ = 0.352, P < .01, weak correlation). In terms of diagnostic performances, ECV3 min showed significantly higher diagnostic accuracy than ECV5 min for significant liver fibrosis (S2-4) (AUC: 0.87 vs 0.79, P = .037), but no significant differences were observed for progressive fibrosis (S3-4) (AUC: 0.76 vs 0.71, P = .206) or cirrhosis (S4) (AUC: 0.75 vs 0.74, P = .774).</p><p><strong>Conclusions: </strong>DECT ECV may have some potential in noninvasively liver fibrosis staging, ECV3 min is not definitely inferior to ECV5 min.</p><p><strong>Advances in knowledge: </strong>A 3-min delay for the delayed-phase ECV assessment can guide clinical treatment decisions for patients and enhance the efficiency of scanning work, holding significant clinical value.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1671-1676"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144715052","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":"Differences between the image-derived input functions of the descending aorta and carotid artery in brain pharmacokinetic parametric analysis.","authors":"Zixiang Chen, Yaping Wu, Bolun Li, Zengyang Che, Yuxi Jin, Lingxin Chen, Yongfeng Yang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu","doi":"10.1093/bjr/tqaf166","DOIUrl":"10.1093/bjr/tqaf166","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to quantitatively reveal the difference between the descending aorta image-derived input function (IDIFa) and carotid artery image-derived input function (IDIFc) in the task of brain pharmacokinetic parametric analysis.</p><p><strong>Methods: </strong>18F-fluorodeoxyglucose (18F-FDG) dynamic positron emission tomography (PET) data from 50 patients collected by UIH uEXPLORER PET/CT were used to extract the IDIFa and IDIFc; the Patlak graphical model (PGM) and irreversible 2-tissue compartmental model (2TCM) were applied for brain pharmacokinetic parametric analysis. The Patlak Ki and Vt images yielded by the 2 types of IDIFs are compared using relative error (RE), while the parameters K1∼k3 and fv were analysed via paired t-tests to determine the significance of the differences.</p><p><strong>Results: </strong>IDIFa and IDIFc had significant differences in peak value (P = 0.0009) and curve integral value (P = 0.0012). Based on PGM, 0%-15% REs were found between the Ki and Vt images yielded by IDIFa and IDIFc; based on 2TCM, significant differences were found in brainstem's K1 (P = 0.0009), left cerebellum's k3 (P = 0.0009) and all selected regions' fv and Ki (P < 0.05). Fitting residuals of IDIFa are lower than that of IDIFc without significant differences (P > 0.05).</p><p><strong>Conclusions: </strong>IDIFa and IDIFc have different curves characteristics and different brain pharmacokinetic parametric analysis results based on PGM and 2TCM. One should be prudential when using IDIFa to conduct brain dynamic PET parametric analysis.</p><p><strong>Advances in knowledge: </strong>This study quantitatively compares carotid artery and descending aorta IDIFs in the term of brain pharmacokinetic analysis, providing an important reference for nuclear clinicians.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1642-1649"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688922","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":"Simulation-free radiotherapy on the MR-linac in prostate cancer.","authors":"Sian Cooper, Joan Chick, Francis Casey, Sophie Alexander, Simeon Nill, Uwe Oelfke, Alison Tree, Alex Dunlop","doi":"10.1093/bjr/tqaf163","DOIUrl":"10.1093/bjr/tqaf163","url":null,"abstract":"<p><strong>Objectives: </strong>The radiotherapy (RT) pathway faces bottlenecks. The Rapid Adaptive and Cost-Effective Radiotherapy (RACE) study evaluates the feasibility of using diagnostic MRI (dMRI) scans for planning prostate MRI-guided adaptive RT (MRIgART).</p><p><strong>Methods: </strong>We audited prostate cancer patients treated with 5-fraction (#) stereotactic body radiotherapy (SBRT) between March 2023 and January 2024, assessing dMRI for RT planning suitability. Planning suitability required a T2-weighted sequence for target/organs at risk (OAR) delineation and a large field-of-view (LFOV). Scans were classified as RT plan suitable or as having specific issues (incomplete body coverage or slice thickness >10 mm). Workflow analysis from RT referral to first fraction estimated potential time savings with simulation-free RT (SFRT). Case studies illustrated identified issues and proposed solutions.</p><p><strong>Results: </strong>dMRIs were available for 93% of patients, with scans originating from various hospitals and conducted on 1.5 Tesla (T) or 3 T MRI scanners. Ideal image characteristics for RT planning were met in 38% of MRIs. Issues such as cropped field of view (FOV) and low slice resolution were identified, but proposed solutions could increase the number of patients with suitable scans to 87%.</p><p><strong>Conclusions: </strong>The findings suggest that with appropriate technical solutions, most dMRI scans can be adapted for RT planning purposes.</p><p><strong>Advances in knowledge: </strong>The study highlights the potential of SFRT to reduce treatment delays and improve cost-effectiveness.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1591-1595"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12515036/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697704","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":"MRI localization evaluation to distinguish gastric-type adenocarcinoma and lobular endocervical glandular hyperplasia from other cystic lesions.","authors":"Toshitaka Ishiguro, Tsukasa Saida, Manabu Minami, Kensaku Mori, Saki Shibuki, Shun Kagaya, Yoshida Miki, Toyomi Satoh, Takahito Nakajima","doi":"10.1093/bjr/tqaf191","DOIUrl":"10.1093/bjr/tqaf191","url":null,"abstract":"<p><strong>Objectives: </strong>To quantitatively differentiate MRI localization of gastric-type adenocarcinoma (GAS) and lobular endocervical glandular hyperplasia (LEGH) from other benign cystic lesions (OBC).</p><p><strong>Methods: </strong>We retrospectively reviewed T1-weighted (T1WI) and T2-weighted images (T2WI) and measured the lesion volume, the ratio of cervical canal position at the maximum cross-section (deviation ratio), the ratio of the lesion's centre within the craniocaudal length (longitudinal location ratio), distance from the internal and external os, maximum cyst diameter, and signal intensities of the cyst content on T1WI and T2WI (T1 and T2 ratios). These parameters were compared between GAS or LEGH and OBC, where OBC was clinically suspected of LEGH.</p><p><strong>Results: </strong>Seventeen patients with GAS, 18 with LEGH (52 ± 11 years), and 42 with OBC (45 ± 10 years) were included. GAS/LEGH were larger in volume (29.25/15.24 cm3, P < .001), and had a greater deviation ratio (0.82/0.84, P < .001), shorter distance to the internal and external os (3.4/3.6 mm, P = .040, and 3.3/3.3 mm, P = .003, respectively), and a lower T1 ratio (1.08/0.91, P < .001). The area under the curve (AUC) of these parameters using their respective optimal cut-off values was 0.818, 0.756, 0.629, 0.711, and 0.731, respectively. When 3 or more positive criteria were considered, the AUC increased to 0.896.</p><p><strong>Conclusions: </strong>Compared with OBC, GAS/LEGH displayed a larger volume, cervical canal deviation, proximity to the internal and external os, and a lower T1 ratio of cyst content.</p><p><strong>Advances in knowledge: </strong>Considering both the lesion and its relationship to the cervical canal is imperative for differentiating between the conditions.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1698-1705"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12515035/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144783563","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}