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Background And Objectives: The Reporting and Data System (RADS) have been used in the attempts to standardize the results of oncological scans in different scenarios, such as lymph nodes, adding configuration criteria to size determination. We analyze the predictive value of preoperative Node-RADS determination at imaging for pelvic lymph node (PLN) involvement in cases of prostate cancer (PC) considered for radical prostatectomy (RP) with extended lymph node dissection (eLND) and we compare it with validate predictive nomograms (MSKCC, Briganti and Gandaglia).
Methods: 150 patients with a histological diagnosis of PC (high risk or intermediate with an estimated risk for pN+ higher than 5% using the Briganti or 7% using the Gandaglia nomogram) submitted for RP with an ePLND from 2018 and 2021 were retrospectively examined. Node-RADS determination was performed in all cases using the preoperative magnetic resonance (MR), performed by a radiologist blinded for pathologic results and compared with the MSKCC, Briganti 2012, Gandaglia 2017 and Gandaglia 2019 nomograms.
Results: PLN involvement at final pathology (pN+) was found in 36/150 (24.0%) of cases and the mean percentage of positive LNs in pN+ cases was 15.90 ± 13.40. The mean number of PLNs removed at RP was similar (p = 0.188) between pN0 (23.9 ± 8.0) and pN+ (25.3 ± 8.0) cases. Considering a Node RADS 4-5 positive and a Node RADS 1-2 negative, the PPV was 100% and the NPV was 79.6%. A Node RADS score 4-5 showed a lower sensitivity (0.167 versus 0.972, 1.000, 0.971, 0.960 respectively), a higher specificity (1.000 versus 0.079, 0.096, 0.138, 0.186 respectively) and a similar AUC (0.583 versus 0.591, 0.581, 0.574, 0.597 respectively) when compared to MSKCC, Briganti 2012, Gandaglia 2017 and Gandaglia 2019 nomograms.
Conclusions: Our evaluation suggests that Node RADS score, combining configuration criteria to size determination could improve specificity in terms of pathologic PLN prediction but a very low sensitivity has been also described.
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http://dx.doi.org/10.1038/s41391-022-00564-z | DOI Listing |
Radiology
September 2025
Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea.
Background Although the Node Reporting and Data System (Node-RADS) offers a standardized method for assessing lymph node metastasis, its performance may vary according to the histologic type of breast cancer. Purpose To evaluate the applicability of the Node-RADS score in assessing axillary lymph node involvement in patients with invasive ductal carcinoma (IDC) or invasive lobular carcinoma (ILC). Materials and Methods In this retrospective study, data from consecutive women with pathologically confirmed IDC or ILC who underwent preoperative breast MRI between January 2017 and December 2018 were analyzed.
View Article and Find Full Text PDFUrologie
August 2025
Klinik für Urologie, St. Elisabeth Klinikum Straubing, St.-Elisabeth-Str. 23, Straubing, Deutschland.
Mucinous prostate carcinoma (mucPCa) often evades detection by prostate-imaging reporting and data system (PI-RADS)-based multiparametric magnetic resonance imaging (MRI). We report a case in which atypical dynamic contrast kinetics served as the sole imaging clue leading to the diagnosis of aggressive mucPCa. Neither T2-weighted nor diffusion-weighted sequences suggested malignancy.
View Article and Find Full Text PDFEur Radiol
August 2025
Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy.
Objectives: To assess the reproducibility and diagnostic accuracy of the Node Reporting and Data System 1.0 (Node-RADS) for detecting pelvic nodal metastases by endometrial cancer (EC) using CT and MRI, among readers with different levels of expertise.
Materials And Methods: This IRB-approved, single-center retrospective study included 128 patients with EC who underwent preoperative MRI at our Institution (Jan 2020-Dec 2023).
World J Urol
August 2025
Department of Biomedical Sciences, Humanitas University, 20090 Pieve, Emanuele, Italy.
Introduction & Objectives: Detecting clinically significant prostate cancer (csPCa) remains a top priority in delivering high-quality care, yet consensus on an optimal diagnostic pathway is constantly evolving. In this study, we present an innovative diagnostic approach, leveraging a machine learning model tailored to the emerging role of prostate micro-ultrasound (micro-US) in the setting of csPCa diagnosis.
Materials & Methods: We queried our prospective database for patients who underwent Micro-US for a clinical suspicious of prostate cancer.
Abdom Radiol (NY)
August 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Objective: The Node-RADS score was proposed and provided a standardized, comprehensive assessment of lymph nodes (LNs), accounting for both size and configuration criteria. This study aimed to evaluate the diagnostic performance of the Node-RADS in LN metastasis of ovarian cancer (OC).
Methods: From December 2018 to April 2023, 81 OC patients who underwent MRI and debulking surgery were included.