Radiology. Imaging cancer最新文献

Purpose To evaluate the safety and efficacy of US-guided thermal ablation in the treatment of Bethesda III thyroid nodules with negative eight-gene panel testing results. Materials and Methods This retrospective single-center study included patients with thyroid nodules diagnosed as Bethesda category III (atypia of undetermined significance) at fine-needle aspiration biopsy and with negative eight-gene testing results who were treated with US-guided microwave ablation (MWA) between July 2020 and September 2023. Incidence of complications, technical success rate (TSR), volume reduction rate (VRR), nodule recurrence, and thyroid function were evaluated over a follow-up period of 2 years. Data before and after MWA were compared using variance analysis and the Cochran-Mantel-Haenszel χ² test. Results A total of 101 Bethesda III nodules were detected in 95 patients (mean ± SD age, 47.08 years ±14.63; 79 female patients, 16 male patients), all of which were completely ablated (100% TSR). Two patients experienced mild neck swelling and pressure sensation after the minimally invasive operation, and the incidence of postoperative complications was 2% (two of 95). None of the patients experienced tumor recurrence or progression. At 2-year follow-up, the mean VRR of the ablated area was 90.88% ± 13.59 in 15 patients; 87% (13 of 15) of these patients had a 100% VRR. There was no evidence of a difference in thyroid function before and after MWA from 1 to 24 months (P = .15-.99). Conclusion US-guided MWA was safe and effective for the treatment of Bethesda III thyroid nodules with negative eight-gene panel testing results. Keywords: Ablation Techniques, Radiation Therapy/Oncology, Head/Neck, Thyroid, Safety, Observer Performance Published under a CC BY 4.0 license.

Purpose To determine whether fluorine 18 (¹⁸F) fluorothymidine (FLT) PET imaging alone or combined with Mount Sinai Acute GVHD International Consortium (MAGIC) biomarkers could help identify subclinical gastrointestinal graft versus host disease (GI-GVHD) by day 100 following hematopoietic stem cell transplantation (HSCT). Materials and Methods ¹⁸F-FLT PET imaging was analyzed in a prospective pilot study (ClinicalTrials.gov identifier no. NCT01338987) with a primary end point of engraftment for a planned secondary end point identifying GI-GVHD. Regions of interest (ROIs) in the colon (1 cm³), jejunum (1 cm³), and ileum (1 cm³) were drawn in the area of greatest signal intensity within each segment of the GI tract by using software. Standardized uptake values (SUVs) were captured on day 28 following transplantation, along with MAGIC serum biomarkers and MAGIC algorithm probability (MAP) scores using MAGIC serum biomarkers collected at days 28-35. Results Among 20 participants (median age, 33.85 years [IQR: 28.65-39.25 years]; 11 female, nine male), seven presented with clinically diagnosed GI-GVHD by 100 days. Increased SUV was observed throughout the GI tract, most predominantly in the jejunum. Maximum and mean SUV by day 100 were significantly elevated in those with GI-GVHD (maximum SUV, 4.81; mean SUV, 3.73; n = 7) compared with those without (maximum SUV, 3.99; mean SUV, 2.56). MAP score (P = .02) was associated with acute GVHD on day 28 but not on day 100. Spearman correlation between maximum SUV in the jejunum and MAP score was r = 0.65 (P = .002). Conclusion These data suggest that ¹⁸F-FLT PET may help identify acute GI-GVHD after HSCT and could inform location in areas difficult to biopsy. Keywords: Transplantation, PET/CT, Bone Marrow, Abdomen/GI ClinicalTrials.gov identifier: NCT01338987 © RSNA, 2024.

Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) progression based on MRI and clinical parameters and compare it with established models. Materials and Methods This retrospective study included 1607 MRI scans of 1143 male patients (median age, 64 years; IQR, 59-68 years) undergoing MRI for suspicion of clinically significant PCa (csPCa) (International Society of Urological Pathology grade > 1) between January 2012 and May 2022 who were negative for csPCa at baseline MRI. A DL model was developed using baseline MRI and clinical parameters (age, prostate-specific antigen [PSA] level, PSA density, and prostate volume) to predict the time to PCa progression (defined as csPCa diagnosis at follow-up). Internal and external testing was performed. The model's ability to predict progression to csPCa was assessed by Cox regression analyses. Predictive performance of the DL model up to 5 years after baseline MRI in comparison with the European Randomized Study of Screening for Prostate Cancer (ERSPC) future-risk calculator, Prostate Cancer Prevention Trial (PCPT) risk calculator, and Prostate Imaging Reporting and Data System (PI-RADS) was assessed using the Harrell C-index. Optimized follow-up intervals were derived from Kaplan-Meier curves. Results DL scores predicted csPCa progression (internal cohort: hazard ratio [HR], 1.97 [95% CI: 1.61, 2.41; P < .001]; external cohort: HR, 1.32 [95% CI: 1.14, 1.55; P < .001]). The model identified a subgroup of patients (approximately 20%) with risks for csPCa of 3% or less, 8% or less, and 18% or less after 1-, 2-, and 4-year follow-up, respectively. DL scores had a C-index of 0.68 (95% CI: 0.63, 0.74) at internal testing and 0.56 (95% CI: 0.51, 0.61) at external testing, outperforming ERSPC and PCPT (both P < .001) at internal testing. Conclusion The DL model accurately predicted PCa progression and provided improved risk estimations, demonstrating its ability to aid in personalized follow-up for low-risk PCa. Keywords: MRI, Prostate Cancer, Deep Learning Supplemental material is available for this article. ©RSNA, 2025.

Percutaneous tumor ablation has become a widely accepted and used treatment option for both soft and hard tissue malignancies. The current standard-of-care techniques for performing these minimally invasive procedures require providers to navigate a needle to their intended target using two-dimensional (2D) US or CT to obtain complete local response. These traditional image-guidance systems require operators to mentally transpose what is visualized on a 2D screen into the inherent three-dimensional (3D) context of human anatomy. Advanced navigation systems designed specifically for percutaneous needle-based procedures often fuse multiple imaging modalities to provide greater awareness and planned needle trajectories for the avoidance of critical structures. However, even many of these advanced systems still require mental transposition of anatomy from a 2D screen to human anatomy. Augmented reality (AR)-based systems have the potential to provide a 3D view of the patient's anatomy, eliminating the need for mental transposition by the operator. The purpose of this article is to review commercially available advanced percutaneous surgical navigation platforms and discuss the current state of AR-based navigation systems, including their potential benefits, challenges for adoption, and future developments. Keywords: Computer Applications-Virtual Imaging, Technology Assessment, Augmented Reality, Surgical Navigation, Percutaneous Ablation, Interventional Radiology ©RSNA, 2025.

Purpose To determine which quantitative 3-T multiparametric MRI (mpMRI) parameters correlate with and help predict the presence of aggressive large cribriform pattern (LCP) and intraductal carcinoma (IDC) prostate cancer (PCa) at whole-mount histopathology (WMHP). Materials and Methods This retrospective study included 130 patients (mean age ± SD, 62.6 years ± 7.2; 100% male) with 141 PCa lesions who underwent preoperative prostate 3-T mpMRI, radical prostatectomy, and WMHP between January 2019 and December 2022. Lesions at WMHP were matched to 3-T mpMRI lesions with American College of Radiology Prostate Imaging Reporting and Data System version 2.1 scores of at least 3 or higher, and the following parameters were derived: apparent diffusion coefficient (ADC), volume transfer constant, rate constant, and initial area under the curve (iAUC). Each lesion was categorized into three subcohorts with increasing aggressiveness: LCP negative and IDC negative (subcohort 1), LCP positive and IDC negative (subcohort 2), and LCP positive and IDC negative (subcohort 3). Analysis of variance was performed to assess differences, Jonckheere test was performed to establish trends, and a classification and regression tree (CART) was used to establish a prediction model. Results Of the 141 total lesions, there were 41 (29.1%), 49 (34.8%), and 51 (36.2%) lesions in subcohorts 1, 2, and 3, with mean ADCs of 892 × 10^-6 mm²/sec ± 20, 826 × 10^-6 mm²/sec ± 209, and 763 × 10^-6 mm²/sec ± 163 (P = .007) and mean iAUCs of 5.4 mmol/L/sec ± 2.5, 6.7 mmol/L/sec ± 3.0, and 6.9 mmol/L/sec ± 3.5 (P = .04), respectively. ADC was negatively correlated (P = .004), and rate constant and iAUC were positively correlated (P = .048 and P = .04, respectively) with increasing histologic PCa aggressiveness. The CART model correctly allocated 39.0%, 24.5%, and 84.3% of PCa lesions to subcohorts 1, 2, and 3, respectively. Conclusion Quantitative 3-T mpMRI parameters significantly correlated with and helped predict aggressive LCP and IDC PCa at WMHP. Keywords: Prostate, MRI, Pathology © RSNA, 2025.

Prostate cancer is the second most common malignancy among male individuals in the United States and requires careful imaging approaches because of its varied presentations. This review examines prostate cancer imaging guidelines from leading organizations, including the American College of Radiology, American Urological Association, European Association of Urology, American Society of Clinical Oncology, and National Comprehensive Cancer Network, and serves as a reference highlighting commonalities and divergences in current imaging recommendations across prostate cancer states. We outline these organizations and their methods, focusing on their approaches to panel expertise, guideline development, evidence grading, and revision schedules. We then compare and contrast the role of various imaging modalities across states of prostate cancer management in the following categories: clinically suspected prostate cancer, clinically established prostate cancer: active surveillance or staging, monitoring metastatic disease, and posttreatment follow-up: recurrent or residual disease. Overall, there is consensus on the importance of multiparametric MRI in diagnosis and staging prior to active surveillance and the emerging role of prostate-specific membrane antigen (PSMA) PET/CT in metastatic and recurrent disease. However, there is disparity in imaging recommendations for detecting metastases in unfavorable intermediate-risk prostate cancer and views on current applications of PSMA PET/CT. Ultimately, variations in radiologic expertise exist among guideline panels, and there continue to be inconsistencies in imaging recommendations in prostate cancer. Keywords: Prostate, Genital/Reproductive, Oncology Supplemental material is available for this article. © RSNA, 2025.

Purpose To develop a radiology-pathology coregistration method for 1:1 automated spatial mapping between preoperative rectal MRI and ex vivo rectal whole-mount histology (WMH). Materials and Methods This retrospective study included consecutive patients with rectal adenocarcinoma who underwent total neoadjuvant therapy followed by total mesorectal excision with preoperative rectal MRI and WMH from January 2019 to January 2022. A gastrointestinal pathologist and a radiologist established three corresponding levels for each patient at rectal MRI and WMH, subsequently delineating external and internal rectal wall contours and the tumor bed at each level and defining eight point-based landmarks. An advanced deformable image coregistration model based on the linearized iterative boundary reconstruction (LIBR) approach was compared with rigid point-based registration (PBR) and state-of-the-art deformable intensity-based multiscale spectral embedding registration (MSERg). Dice similarity coefficient (DSC), modified Hausdorff distance (MHD), and target registration error (TRE) across patients were calculated to assess the coregistration accuracy of each method. Results Eighteen patients (mean age, 54 years ± 13 [SD]; nine female) were included. LIBR demonstrated higher DSC versus PBR for external and internal rectal wall contours and tumor bed (external: 0.95 ± 0.03 vs 0.86 ± 0.04, respectively, P < .001; internal: 0.71 ± 0.21 vs 0.61 ± 0.21, P < .001; tumor bed: 0.61 ± 0.17 vs 0.52 ± 0.17, P = .001) and versus MSERg for internal rectal wall contours (0.71 ± 0.21 vs 0.63 ± 0.18, respectively; P < .001). LIBR demonstrated lower MHD versus PBR for external and internal rectal wall contours and tumor bed (external: 0.56 ± 0.25 vs 1.68 ± 0.56, respectively, P < .001; internal: 1.00 ± 0.35 vs 1.62 ± 0.59, P < .001; tumor bed: 2.45 ± 0.99 vs 2.69 ± 1.05, P = .03) and versus MSERg for internal rectal wall contours (1.00 ± 0.35 vs 1.62 ± 0.59, respectively; P < .001). LIBR demonstrated lower TRE (1.54 ± 0.39) versus PBR (2.35 ± 1.19, P = .003) and MSERg (2.36 ± 1.43, P = .03). Computation time per WMH slice for LIBR was 35.1 seconds ± 12.1. Conclusion This study demonstrates feasibility of accurate MRI-WMH coregistration using the advanced LIBR method. Keywords: MR Imaging, Abdomen/GI, Rectum, Oncology Supplemental material is available for this article. © RSNA, 2024.