Cancer Imaging最新文献

{"title":"Immune-related [18F]FDG PET findings in patients undergoing checkpoint inhibitors treatment: correlation with clinical adverse events and prognostic implications","authors":"Giulia Santo, Maria Cucè, Antonino Restuccia, Teresa Del Giudice, Pierfrancesco Tassone, Francesco Cicone, Pierosandro Tagliaferri, Giuseppe Lucio Cascini","doi":"10.1186/s40644-024-00774-9","DOIUrl":"https://doi.org/10.1186/s40644-024-00774-9","url":null,"abstract":"Direct comparisons between [18F]FDG PET/CT findings and clinical occurrence of immune-related adverse events (irAEs) based on independent assessments of clinical and imaging features in patients receiving immune checkpoint inhibitors (ICIs) are missing. Our aim was to estimate sites, frequency, and timing of immune-related PET findings during ICIs treatment in patients with melanoma and NSCLC, and to assess their correlation with clinical irAEs. Prognostic implications of immune-related events were also investigated. Fifty-one patients with melanoma (47%) or NSCLC (53%) undergoing multiple PET examinations during anti-PD1/PDL1 treatment were retrospectively included. Clinical irAEs were graded according to CTCAE v.5.0. Abnormal PET findings suggestive of immune activation were described by two readers blinded to the clinical data. Progression-free survival (PFS) and overall survival (OS) were analyzed with the Kaplan-Meier method in patients stratified according to the presence of irAEs, immune-related PET findings or both. Twenty-one patients showed clinical irAEs only (n = 6), immune-related PET findings only (n = 6), or both (n = 9). In patients whose imaging findings corresponded to clinical irAEs (n = 7), a positive correlation between SUVmax and the severity of the clinical event was observed (rs=0.763, p = 0.046). Clinical irAEs occurred more frequently in patients without macroscopic disease than in metastatic patients (55% vs. 23%, p = 0.039). Patients who developed clinical irAEs had a significantly longer PFS than patients who remained clinically asymptomatic, both in the overall cohort (p = 0.011) and in the subgroup of (n = 35) patients with metastatic disease (p = 0.019). The occurrence of immune-related PET findings significantly stratified PFS in the overall cohort (p = 0.040), and slightly missed statistical significance in patients with metastatic disease (p = 0.08). The best stratification of PFS was achieved when all patients who developed immune-related events, either clinically relevant or detected by PET only, were grouped together both in the overall cohort (p = 0.002) and in patients with metastatic disease (p = 0.004). In the whole sample, OS was longer in patients who developed any immune-related events (p = 0.032). Patients with melanoma or NSCLC under ICI treatment can develop clinical irAEs, immune-related PET findings, or both. The occurrence of immune-related events has a prognostic impact. Combining clinical information with PET assessment improved outcome stratification.","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"208 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment","authors":"Ji Wu, Jian Li, Bo Huang, Sunbin Dong, Luyang Wu, Xiping Shen, Zhigang Zheng","doi":"10.1186/s40644-024-00768-7","DOIUrl":"https://doi.org/10.1186/s40644-024-00768-7","url":null,"abstract":"We aimed to develop and externally validate a CT-based deep learning radiomics model for predicting overall survival (OS) in clear cell renal cell carcinoma (ccRCC) patients, and investigate the association of radiomics with tumor heterogeneity and microenvironment. The clinicopathological data and contrast-enhanced CT images of 512 ccRCC patients from three institutions were collected. A total of 3566 deep learning radiomics features were extracted from 3D regions of interest. We generated the deep learning radiomics score (DLRS), and validated this score using an external cohort from TCIA. Patients were divided into high and low-score groups by the DLRS. Sequencing data from the corresponding TCGA cohort were used to reveal the differences of tumor heterogeneity and microenvironment between different radiomics score groups. What’s more, univariate and multivariate Cox regression were used to identify independent risk factors of poor OS after operation. A combined model was developed by incorporating the DLRS and clinicopathological features. The SHapley Additive exPlanation method was used for interpretation of predictive results. At multivariate Cox regression analysis, the DLRS was identified as an independent risk factor of poor OS. The genomic landscape of different radiomics score groups was investigated. The heterogeneity of tumor cell and tumor microenvironment significantly varied between both groups. In the test cohort, the combined model had a great predictive performance, with AUCs (95%CI) for 1, 3 and 5-year OS of 0.879(0.868–0.931), 0.854(0.819–0.899) and 0.831(0.813–0.868), respectively. There was a significant difference in survival time between different groups stratified by the combined model. This model showed great discrimination and calibration, outperforming the existing prognostic models (all p values < 0.05). The combined model allowed for the prognostic prediction of ccRCC patients by incorporating the DLRS and significant clinicopathologic features. The radiomics features could reflect the tumor heterogeneity and microenvironment.","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"30 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of tube voltage, radiation dose and adaptive statistical iterative reconstruction strength level on the detection and characterization of pulmonary nodules in ultra-low-dose chest CT","authors":"Yue Yao, Xuan Su, Lei Deng, JingBin Zhang, Zengmiao Xu, Jianying Li, Xiaohui Li","doi":"10.1186/s40644-024-00770-z","DOIUrl":"https://doi.org/10.1186/s40644-024-00770-z","url":null,"abstract":"To explore the effects of tube voltage, radiation dose and adaptive statistical iterative reconstruction (ASiR-V) strength level on the detection and characterization of pulmonary nodules by an artificial intelligence (AI) software in ultra-low-dose chest CT (ULDCT). An anthropomorphic thorax phantom containing 12 spherical simulated nodules (Diameter: 12 mm, 10 mm, 8 mm, 5 mm; CT value: -800HU, -630HU, 100HU) was scanned with three ULDCT protocols: Dose-1 (70kVp:0.11mSv, 100kVp:0.10mSv), Dose-2 (70kVp:0.34mSv, 100kVp:0.32mSv), Dose-3 (70kVp:0.53mSv, 100kVp:0.51mSv). All scanning protocols were repeated five times. CT images were reconstructed using four different strength levels of ASiR-V (0%=FBP, 30%, 50%, 70%ASiR-V) with a slice thickness of 1.25 mm. The characteristics of the physical nodules were used as reference standards. All images were analyzed using a commercially available AI software to identify nodules for calculating nodule detection rate (DR) and to obtain their long diameter and short diameter, which were used to calculate the deformation coefficient (DC) and size measurement deviation percentage (SP) of nodules. DR, DC and SP of different imaging groups were statistically compared. Image noise decreased with the increase of ASiR-V strength level, and the 70 kV images had lower noise under the same strength level (mean-value 70 kV: 40.14 ± 7.05 (dose 1), 27.55 ± 7.38 (dose 2), 23.88 ± 6.98 (dose 3); 100 kV: 42.36 ± 7.62 (dose 1); 30.78 ± 6.87 (dose 2); 26.49 ± 6.61 (dose 3)). Under the same dose level, there were no differences in DR between 70 kV and 100 kV (dose 1: 58.76% vs. 58.33%; dose 2: 73.33% vs. 70.83%; dose 3: 75.42% vs. 75.42%, all p > 0.05). The DR of GGNs increased significantly at dose 2 and higher (70 kV: 38.12% (dose 1), 60.63% (dose 2), 64.38% (dose 3); 100 kV: 37.50% (dose 1), 59.38% (dose 2), 66.25% (dose 3)). In general, the use of ASiR-V at higher strength levels (> 50%) and 100 kV provided better (lower) DC and SP. Detection rates are similar between 70 kV and 100 kV scans. The 70 kV images have better noise performance under the same ASiR-V level, while images of 100 kV and higher ASiR-V levels are better in preserving the nodule morphology (lower DC and SP); the dose levels above 0.33mSv provide high sensitivity for nodules detection, especially the simulated ground glass nodules.","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"21 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor","authors":"Wei Shi, Yingshi Su, Rui Zhang, Wei Xia, Zhenqiang Lian, Ning Mao, Yanyu Wang, Anqin Zhang, Xin Gao, Yan Zhang","doi":"10.1186/s40644-024-00771-y","DOIUrl":"https://doi.org/10.1186/s40644-024-00771-y","url":null,"abstract":"This study investigated the clinical value of breast magnetic resonance imaging (MRI) radiomics for predicting axillary lymph node metastasis (ALNM) and to compare the discriminative abilities of different combinations of MRI sequences. This study included 141 patients diagnosed with invasive breast cancer from two centers (center 1: n = 101, center 2: n = 40). Patients from center 1 were randomly divided into training set and test set 1. Patients from center 2 were assigned to the test set 2. All participants underwent preoperative MRI, and four distinct MRI sequences were obtained. The volume of interest (VOI) of the breast tumor was delineated on the dynamic contrast-enhanced (DCE) postcontrast phase 2 sequence, and the VOIs of other sequences were adjusted when required. Subsequently, radiomics features were extracted from the VOIs using an open-source package. Both single- and multisequence radiomics models were constructed using the logistic regression method in the training set. The area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, and precision of the radiomics model for the test set 1 and test set 2 were calculated. Finally, the diagnostic performance of each model was compared with the diagnostic level of junior and senior radiologists. The single-sequence ALNM classifier derived from DCE postcontrast phase 1 had the best performance for both test set 1 (AUC = 0.891) and test set 2 (AUC = 0.619). The best-performing multisequence ALNM classifiers for both test set 1 (AUC = 0.910) and test set 2 (AUC = 0.717) were generated from DCE postcontrast phase 1, T2-weighted imaging, and diffusion-weighted imaging single-sequence ALNM classifiers. Both had a higher diagnostic level than the junior and senior radiologists. The combination of DCE postcontrast phase 1, T2-weighted imaging, and diffusion-weighted imaging radiomics features had the best performance in predicting ALNM from breast cancer. Our study presents a well-performing and noninvasive tool for ALNM prediction in patients with breast cancer.","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"36 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proceedings of ICIS SGCR-WIRES 2024, held jointly with the 23rd International Cancer Imaging Society Annual Conference, collaborating with the Singapore Radiological Society and College of Radiologists Singapore","authors":"","doi":"10.1186/s40644-024-00751-2","DOIUrl":"https://doi.org/10.1186/s40644-024-00751-2","url":null,"abstract":"&lt;h3&gt;O1 A randomized controlled trial of preoperative prostate artery embolization before transurethral resection of prostate glands larger than 80cc&lt;/h3&gt;&lt;h4&gt;Zong Yi Chin&lt;sup&gt;1&lt;/sup&gt;, Alvin YM Lee&lt;sup&gt;2&lt;/sup&gt;, Neo Shu Hui&lt;sup&gt;3&lt;/sup&gt;, Ng Tze Kiat&lt;sup&gt;2&lt;/sup&gt;, Edwin Jonathan Aslim&lt;sup&gt;2&lt;/sup&gt;, Allen SP Sim&lt;sup&gt;4&lt;/sup&gt;, Pradesh Kumar&lt;sup&gt;5&lt;/sup&gt;, John SP Yuen&lt;sup&gt;2&lt;/sup&gt;, Kenneth Chen&lt;sup&gt;2&lt;/sup&gt;, Sivanathan Chandramohan&lt;sup&gt;1&lt;/sup&gt;\u0000&lt;/h4&gt;&lt;h5&gt;\u0000&lt;sup&gt;1&lt;/sup&gt;Vascular and Interventional Radiology, Singapore General Hospital, Singapore; &lt;sup&gt;2&lt;/sup&gt;Urology, Singapore General Hospital, Singapore; &lt;sup&gt;3&lt;/sup&gt;Urology, Sengkang General Hospital, Singapore; &lt;sup&gt;4&lt;/sup&gt;Urology, Gleneagles Medini Johor, Malaysia; &lt;sup&gt;5&lt;/sup&gt;Radiology, Sunway Medical Centre, Malaysia&lt;/h5&gt;&lt;p&gt;\u0000&lt;i&gt;Cancer Imaging (2024)&lt;/i&gt;, &lt;b&gt;24 (1):&lt;/b&gt; O1&lt;/p&gt;&lt;br/&gt;&lt;p&gt;\u0000&lt;b&gt;Objectives/ Teaching Points:&lt;/b&gt;\u0000&lt;/p&gt;&lt;p&gt;To study the impact of preoperative prostate artery embolization (PAE) on intraoperative blood loss during transurethral resection of the prostate (TURP) for large prostates (exceeding 80 cc).&lt;/p&gt;&lt;p&gt;\u0000&lt;b&gt;Material(s) and Method(s):&lt;/b&gt;\u0000&lt;/p&gt;&lt;p&gt;A prospective, surgeon-blinded, randomized controlled trial was performed at a single tertiary centre. Patients with prostate volumes over 80 cc who needed TURP were randomly allocated (1:1) to receive preoperative prostatic artery embolization followed by TURP (Group A—intervention) or TURP alone (Group B—control). The primary outcome measured the postoperative drop in haemoglobin levels, as a surrogate for blood loss. Secondary outcomes studied included resection efficiency (weight of resected tissue per minute) and the rate of postoperative complications.&lt;/p&gt;&lt;p&gt;\u0000&lt;b&gt;Results:&lt;/b&gt;\u0000&lt;/p&gt;&lt;p&gt;There were 10 patients in each group. The median prostate volumes were 119 mL for Group A and 140 mL for Group B, with median preoperative haemoglobin levels of 13.3 g/dL (IQR 12.5–14.3 g/dL) in Group A and 14.4 g/dL (IQR 10.1–15.2 g/dL) in Group B. The decrease in postoperative haemoglobin was significantly greater in Group B compared to Group A (-1.4 g/dL vs + 0.5 g/dL, p = 0.015). There were no significant differences between the groups in terms of the weight of resected prostate tissue (52 g vs 73 g, p = 0.089) and resection efficiency (0.7 g/min vs 0.6 g/min, p = 0.853). Two patients in Group B needed a red blood cell transfusion, compared to one patient in Group A (p = 1.000). One patient from each group required an additional surgery for haemostasis.&lt;/p&gt;&lt;p&gt;\u0000&lt;b&gt;Conclusions:&lt;/b&gt;\u0000&lt;/p&gt;&lt;p&gt;Preoperative PAE significantly decreased TURP blood loss in men with large prostates.&lt;/p&gt;&lt;h3&gt;O2 Improving AI Transparency Using an Uncertainty-inspired Classification Model for Chest Xray Diagnosis&lt;/h3&gt;&lt;h4&gt;Shu Wen Goh&lt;sup&gt;1&lt;/sup&gt;, Yangqin Feng&lt;sup&gt;2&lt;/sup&gt;, Xinxing Xu&lt;sup&gt;2&lt;/sup&gt;, Yong Liu&lt;sup&gt;2&lt;/sup&gt;, Cher Heng Tan&lt;sup&gt;1&lt;/sup&gt;\u0000&lt;/h4&gt;&lt;h5&gt;\u0000&lt;sup&gt;1&lt;/sup&gt;Diagnostic Radiology, Tan Tock Seng Hospital, Singapore; &lt;sup&gt;2&lt;/sup&gt;Institute of High-Performance Computing, A*STAR, Singapore&lt;/h5&gt;&lt;p&gt;\u0000","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"39 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The utility of 18F-FDG PET/CT for predicting the pathological response and prognosis to neoadjuvant immunochemotherapy in resectable non-small-cell lung cancer","authors":"Rui Guo, Wanpu Yan, Fei Wang, Hua Su, Xiangxi Meng, Qing Xie, Wei Zhao, Zhi Yang, Nan Li","doi":"10.1186/s40644-024-00772-x","DOIUrl":"https://doi.org/10.1186/s40644-024-00772-x","url":null,"abstract":"To evaluate the potential utility of 18F-FDG PET/CT to assess response to neoadjuvant immunochemotherapy in patients with resectable NSCLC, and the ability to screen patients who may benefit from neoadjuvant immunochemotherapy. Fifty one resectable NSCLC (stage IA–IIIB) patients were analyzed, who received two-three cycles neoadjuvant immunochemotherapy.18F-FDG PET/CT was carried out at baseline(scan-1) and prior to radical resection(scan-2). SULmax, SULpeak, MTV, TLG, T/N ratio, ΔSULmax%,ΔSULpeak%, ΔMTV%, ΔTLG%,ΔT/N ratio% were calculated. 18F-FDG PET/CT responses were classified using PERCIST. We then compared the RECIST 1.1 and PERCIST criteria for response assessment.With surgical pathology of primary lesions as the gold standard, the correlation between metabolic parameters of 18F-FDG PET/CT and major pathologic response (MPR) was analyzed. All metabolic parameters were compared to treatment response and correlated to PFS and OS. In total of fifty one patients, MPR was achieved in 25(49%, 25/51) patients after neoadjuvant therapy. The metabolic parameters of Scan-1 were not correlated with MPR.The degree of pathological regression was negatively correlated with SULmax, SULpeak, MTV, TLG, T/N ratio of scan-2, and the percentage changes of the ΔSULmax%, ΔSULpeak%, ΔMTV%,ΔTLG%,ΔT/N ratio% after neoadjuvant therapy (p < 0.05). According to PERCIST, 36 patients (70.6%, 36/51) showed PMR, 12 patients(23.5%, 12/51) had stable metabolic disease(SMD), and 3 patients(5.9%, 3/51) had progressive metabolic disease (PMD). ROC indicated that all of scan-2 metabolic parameters and the percentage changes of metabolic parameters had ability to predict MPR and non-MPR, SULmax and T/N ratio of scan-2 had the best differentiation ability.The accuracy of RECIST 1.1 and PERCIST criteria were no statistical significance(p = 0.91). On univariate analysis, ΔMTV% has the highest correlation with PFS. Metabolic response by 18F-FDG PET/CT can predict MPR to neoadjuvant immunochemotherapy in resectable NSCLC. ΔMTV% was significantly correlated with PFS.","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"11 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomics of multi-parametric MRI for the prediction of lung metastasis in soft-tissue sarcoma: a feasibility study.","authors":"Yue Hu, Xiaoyu Wang, Zhibin Yue, Hongbo Wang, Yan Wang, Yahong Luo, Wenyan Jiang","doi":"10.1186/s40644-024-00766-9","DOIUrl":"10.1186/s40644-024-00766-9","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the value of multi-parametric MRI-based radiomics for preoperative prediction of lung metastases from soft tissue sarcoma (STS).</p><p><strong>Methods: </strong>In total, 122 patients with clinicopathologically confirmed STS who underwent pretreatment T1-weighted contrast-enhanced (T1-CE) and T2-weighted fat-suppressed (T2FS) MRI scans were enrolled between Jul. 2017 and Mar. 2021. Radiomics signatures were established by calculating and selecting radiomics features from the two sequences. Clinical independent predictors were evaluated by statistical analysis. The radiomics nomogram was constructed from margin and radiomics features by multivariable logistic regression. Finally, the study used receiver operating characteristic (ROC) and calibration curves to evaluate performance of radiomics models. Decision curve analyses (DCA) were performed to evaluate clinical usefulness of the models.</p><p><strong>Results: </strong>The margin was considered as an independent predictor (p < 0.05). A total of 4 MRI features were selected and used to develop the radiomics signature. By incorporating the margin and radiomics signature, the developed nomogram showed the best prediction performance in the training (AUCs, margin vs. radiomics signature vs. nomogram, 0.609 vs. 0.909 vs. 0.910) and validation (AUCs, margin vs. radiomics signature vs. nomogram, 0.666 vs. 0.841 vs. 0.894) cohorts. DCA indicated potential usefulness of the nomogram model.</p><p><strong>Conclusions: </strong>This feasibility study evaluated predictive values of multi-parametric MRI for the prediction of lung metastasis, and proposed a nomogram model to potentially facilitate the individualized treatment decision-making for STSs.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"24 1","pages":"119"},"PeriodicalIF":3.5,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11376009/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142139391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization and validation of echo times of point-resolved spectroscopy for cystathionine detection in gliomas.","authors":"Min Zhou, Zhuang Nie, Jie Zhao, Yao Xiao, Xiaohua Hong, Yuhui Wang, Chengjun Dong, Alexander P Lin, Ziqiao Lei","doi":"10.1186/s40644-024-00764-x","DOIUrl":"10.1186/s40644-024-00764-x","url":null,"abstract":"<p><strong>Background: </strong>Cystathionine accumulates selectively in 1p/19q-codeleted gliomas, and can serve as a possible noninvasive biomarker. This study aims to optimize the echo time (TE) of point-resolved spectroscopy (PRESS) for cystathionine detection in gliomas, and evaluate the diagnostic accuracy of PRESS for 1p/19q-codeletion identification.</p><p><strong>Methods: </strong>The TE of PRESS was optimized with numerical and phantom analysis to better resolve cystathionine from the overlapping aspartate multiplets. The optimized and 97 ms TE PRESS were then applied to 84 prospectively enrolled patients suspected of glioma or glioma recurrence to examine the influence of aspartate on cystathionine quantification by fitting the spectra with and without aspartate. The diagnostic performance of PRESS for 1p/19q-codeleted gliomas were assessed.</p><p><strong>Results: </strong>The TE of PRESS was optimized as (TE1, TE2) = (17 ms, 28 ms). The spectral pattern of cystathionine and aspartate were consistent between calculation and phantom. The mean concentrations of cystathionine in vivo fitting without aspartate were significantly higher than those fitting with full basis-set for 97 ms TE PRESS (1.97 ± 2.01 mM vs. 1.55 ± 1.95 mM, p < 0.01), but not significantly different for 45 ms method (0.801 ± 1.217 mM and 0.796 ± 1.217 mM, p = 0.494). The cystathionine concentrations of 45 ms approach was better correlated with those of edited MRS than 97 ms counterparts (r = 0.68 vs. 0.49, both p < 0.01). The sensitivity and specificity for discriminating 1p/19q-codeleted gliomas were 66.7% and 73.7% for 45 ms method, and 44.4% and 52.5% for 97 ms method, respectively.</p><p><strong>Conclusion: </strong>The 45 ms TE PRESS yields more precise cystathionine estimates than the 97 ms method, and is anticipated to facilitate noninvasive diagnosis of 1p/19q-codeleted gliomas, and treatment response monitoring in those patients. Medium diagnostic performance of PRESS for 1p/19q-codeleted gliomas were observed, and warrants further investigations.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"24 1","pages":"118"},"PeriodicalIF":3.5,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367870/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142119073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic significance of a negative PSMA PET/CT in biochemical recurrence of prostate cancer.","authors":"Sara Harsini, Patrick Martineau, Sonia Plaha, Heather Saprunoff, Catherine Chen, Julia Bishop, Scott Tyldesley, Don Wilson, François Bénard","doi":"10.1186/s40644-024-00752-1","DOIUrl":"10.1186/s40644-024-00752-1","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) is becoming standard of care for men with biochemical recurrence (BCR) of prostate cancer. The implications of a negative PSMA PET/CT scan in this population remain unclear. This study aims to assess the outcome of patients with BCR post radical prostatectomy (RP) who have negative [&lt;sup&gt;18&lt;/sup&gt;F]DCFPyL PET/CT scan at relapse.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This is a post-hoc subgroup analysis of a prospective non randomized clinical trial. One hundred and one patients (median age, 75 years) with BCR after RP, who tested negative on [&lt;sup&gt;18&lt;/sup&gt;F]DCFPyL PET/CT and subsequently either underwent salvage radiotherapy (sRT) with or without androgen deprivation therapy (ADT) or were followed without active treatment, were included. Freedom from progression (FFP) after negative PSMA PET/CT was determined based on follow-up imaging selected as per clinical practice. Uni- and multivariate Cox regression analyses were performed to examine the association of patients' characteristics, tumor-specific variables, and treatment with clinical progression at the last follow-up. FFP at 1-, 2-, and 3-year were reported using Kaplan Meier analysis.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The median PSA level at PET/CT was 0.56 ng/mL (range, 0.4-11.3). Sixty five (64%) patients were followed without receiving further treatment, and 36 (36%) received sRT (18% to the prostate bed only and 18% to the prostate bed and pelvic lymph nodes) within 3 months of the PSMA PET. Seventeen of the sRT patients (17 of 36, 47%) received concomitant androgen deprivation therapy (ADT). Median follow-up was 39 months. Subsequent clinical progression was detected in 21 patients (21%), with 52% in pelvic lymph nodes, 52% in the prostatic fossa, 19% in distant lymph nodes, 14% in lungs, and 10% in bones. The FFP was 95% (95% CI: 91%-99%) at 12 months, 87% (95% CI: 81%-94%) at 24 months, and 79% (95% CI: 71%-88%) at 36 months. Multivariate Cox regression analysis revealed that an initial International Society of Urological Pathology (ISUP) grade 5 was significantly associated with clinical progression at the last follow-up (hazard ratio, 5.1, P value, 0.04). Furthermore, the receipt of sRT correlated significantly with lower clinical progression at the last follow-up (hazard ratio, 0.2, P value, 0.03), whereas other clinical and tumor-specific parameters did not. Following surveillance-only and sRT, 29% (19 of 65) and 6% (2 of 36) of patients, respectively, showed clinical progression. In the sRT group, no significant difference was observed in FFP between patients who underwent sRT to the prostatic fossa versus those who received sRT to the prostatic fossa and pelvic lymph nodes, although the numbers in these groups were small.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This study suggests that salvage radiotherapy is associated with a decreased or delayed clinical prog","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"24 1","pages":"117"},"PeriodicalIF":3.5,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142104703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intravoxel incoherent motion diffusion-weighted imaging in evaluating preoperative staging of esophageal squamous cell carcinoma : Evaluation of preoperative stage of primary tumour and prediction of lymph node metastases from esophageal cancer using IVIM: a prospective study.","authors":"Tao Song, Shuang Lu, Jinrong Qu, Hongkai Zhang, Zhaoqi Wang, Zhengyan Jia, Hailiang Li, Yan Zhao, Jianjun Qin, Wen Feng, Shaoyu Wang, Xu Yan","doi":"10.1186/s40644-024-00765-w","DOIUrl":"https://doi.org/10.1186/s40644-024-00765-w","url":null,"abstract":"<p><strong>Background: </strong>The aim of this research is to prospectively investigate the diagnostic performance of intravoxel incoherent motion (IVIM) using the integrated slice-specific dynamic shimming (iShim) technique in staging primary esophageal squamous cell carcinoma (ESCC) and predicting presence of lymph node metastases from ESCC.</p><p><strong>Methods: </strong>Sixty-three patients with ESCC were prospectively enrolled from April 2016 to April 2019. MR and IVIM using iShim technique (b = 0, 25, 50, 75, 100, 200, 400, 600, 800 s/mm²) were performed on 3.0T MRI system before operation. Primary tumour apparent diffusion coefficient (ADC) and IVIM parameters, including true diffusion coefficient (D), pseudodiffusion coefficient (D^*), pseudodiffusion fraction (f) were measured by two independent radiologists. The differences in D, D^*, f and ADC values of different T and N stages were assessed. Intraclass correlation coefficients (ICCs) were calculated to evaluate the interobserver agreement between two readers. The diagnostic performances of D, D^*, f and ADC values in primary tumour staging and prediction of lymph node metastasis of ESCC were determined using receiver operating characteristic (ROC) curve analysis.</p><p><strong>Results: </strong>The inter-observer consensus was excellent for IVIM parameters and ADC (D: ICC = 0.922; D^*: ICC = 0.892; f: ICC = 0.948; ADC: ICC = 0.958). The ADC, D, D^* and f values of group T1 + T2 were significantly higher than those of group T3 + T4a [ADC: (2.55 ± 0.43) ×10^- 3 mm²/s vs. (2.27 ± 0.40) ×10^- 3 mm²/s, t = 2.670, P = 0.010; D: (1.82 ± 0.39) ×10^- 3 mm²/s vs. (1.53 ± 0.33) ×10^- 3 mm²/s, t = 3.189, P = 0.002; D^*: 46.45 (30.30,55.53) ×10^- 3 mm²/s vs. 32.30 (18.60,40.95) ×10^- 3 mm²/s, z=-2.408, P = 0.016; f: 0.45 ± 0.12 vs. 0.37 ± 0.12, t = 2.538, P = 0.014]. The ADC, D and f values of the lymph nodes-positive (N+) group were significantly lower than those of lymph nodes-negative (N0) group [ADC: (2.10 ± 0.33) ×10^- 3 mm²/s vs. (2.55 ± 0.40) ×10^- 3 mm²/s, t=-4.564, P < 0.001; D: (1.44 ± 0.30) ×10^- 3 mm²/s vs. (1.78 ± 0.37) ×10^- 3 mm²/s, t=-3.726, P < 0.001; f: 0.32 ± 0.10 vs. 0.45 ± 0.11, t=-4.524, P < 0.001]. The combination of D, D^* and f yielded the highest area under the curve (AUC) (0.814) in distinguishing group T1 + T2 from group T3 + T4a. D combined with f provided the highest diagnostic performance (AUC = 0.849) in identifying group N + and group N0 of ESCC.</p><p><strong>Conclusions: </strong>IVIM may be used as an effective functional imaging technique to evaluate preoperative stage of primary tumour and predict presence of lymph node metastases from ESCC.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"24 1","pages":"116"},"PeriodicalIF":3.5,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363402/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142104702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}