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Sheikhy A, Dehghani Firouzabadi F, Lay N, Jarrah N, Yazdian Anari P, Malayeri A. State of the art review of AI in renal imaging. Abdom Radiol (NY) 2025:10.1007/s00261-025-04963-3. [PMID: 40293518 DOI: 10.1007/s00261-025-04963-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Revised: 04/15/2025] [Accepted: 04/18/2025] [Indexed: 04/30/2025]
Abstract
Renal cell carcinoma (RCC) as a significant health concern, with incidence rates rising annually due to increased use of cross-sectional imaging, leading to a higher detection of incidental renal lesions. Differentiation between benign and malignant renal lesions is essential for effective treatment planning and prognosis. Renal tumors present numerous histological subtypes with different prognoses, making precise subtype differentiation crucial. Artificial intelligence (AI), especially machine learning (ML) and deep learning (DL), shows promise in radiological analysis, providing advanced tools for renal lesion detection, segmentation, and classification to improve diagnosis and personalize treatment. Recent advancements in AI have demonstrated effectiveness in identifying renal lesions and predicting surveillance outcomes, yet limitations remain, including data variability, interpretability, and publication bias. In this review we explored the current role of AI in assessing kidney lesions, highlighting its potential in preoperative diagnosis and addressing existing challenges for clinical implementation.
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Affiliation(s)
- Ali Sheikhy
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA
| | - Fatemeh Dehghani Firouzabadi
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Nathan Lay
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA
- Artificial Intelligence Resource, National Institutes of Health, Bethesda, USA
| | - Negin Jarrah
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA
| | - Pouria Yazdian Anari
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA
| | - Ashkan Malayeri
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA.
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Barkovich KJ, Gibson AC, Brahmbhatt S, Tadisetty S, Wilds EC, Nelson LW, Gupta M, Gedaly R, Khurana A. Contrast-enhanced ultrasound of renal masses in the pre-transplant setting: literature review with case highlights. Abdom Radiol (NY) 2024; 49:4521-4530. [PMID: 38900316 PMCID: PMC11522065 DOI: 10.1007/s00261-024-04366-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 04/29/2024] [Accepted: 04/29/2024] [Indexed: 06/21/2024]
Abstract
With the rising incidence of chronic kidney disease worldwide, an increasing number of patients are expected to require renal transplantation, which remains the definitive treatment of end stage renal disease. Medical imaging, primarily ultrasonography and contrast-enhanced CT and/or MRI, plays a large role in pre-transplantation assessment, especially in the characterization of lesions within the native kidneys. However, patients with CKD/ESRD often have relative contraindications to CT- and MR-contrast agents, limiting their utilization within this patient population. Contrast-enhanced ultrasound (CEUS), which combines the high temporal and spatial resolution of ultrasonography with intravascular microbubble contrast agents, provides a promising alternative. This review aims to familiarize the reader with the literature regarding the use of CEUS in the evaluation of cystic and solid renal lesions and provide case examples of its use at our institution in the pre-transplant setting.
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Affiliation(s)
- Krister J Barkovich
- Department of Radiology, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Amanda C Gibson
- Department of Radiology, University of Kentucky, Lexington, KY, 40508, USA
| | - Sneh Brahmbhatt
- Department of Radiology, Mayo Clinic Florida, Jacksonville, FL, 32224, USA
| | - Sindhura Tadisetty
- Department of Radiology, University of Kentucky, Lexington, KY, 40508, USA
| | - Emory C Wilds
- College of Medicine, University of Kentucky, Lexington, KY, 40506, USA
| | - Leslie W Nelson
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792, USA
| | - Meera Gupta
- Department of Surgery, University of Kentucky, Lexington, KY, 40508, USA
| | - Roberto Gedaly
- Department of Surgery, University of Kentucky, Lexington, KY, 40508, USA
| | - Aman Khurana
- Department of Radiology, University of California, San Diego, La Jolla, CA, 92093, USA.
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Song Y, Yang R, Zhang X, Shi J, Pan Q. Diagnostic value of imaging in patients with clear cell papillary renal cell carcinoma: A case series and literature review. JOURNAL OF CLINICAL ULTRASOUND : JCU 2024; 52:939-948. [PMID: 38741262 DOI: 10.1002/jcu.23713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 03/30/2024] [Accepted: 04/15/2024] [Indexed: 05/16/2024]
Abstract
Clear cell papillary renal cell carcinoma (CCPRCC) is a newly classified renal cell carcinoma with a low degree of malignancy. Its imaging features have not been studied deeply. Therefore, we reviewed the imaging features of CCPRCC. Solid CCPRCC shows high echo or isoecho mass on conventional ultrasound. Contrast enhanced ultrasound shows "fast forward and slow backward, uneven high enhancement". Computed tomography shows high enhancement and maximum enhancement in the cortical-medullary phase. Magnetic resonance imaging shows slightly low T1WI and high T2WI. This article aims to improve the understanding of CCPRCC by clinical radiologists and promote the accurate.
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Affiliation(s)
- Yuxuan Song
- Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Ran Yang
- Department of Ultrasound, Qingdao Municipal Hospital, Qingdao, China
| | - Xiujuan Zhang
- Department of Ultrasound, The second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jiahong Shi
- Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Qizheng Pan
- Department of Anesthesia, China-Japan Union Hospital of Jilin University, Changchun, China
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Li C, Lu B, Zhao Q, Lu Q, Wang J, Sun P, Xu H, Huang B. Development and validation of a clinical and ultrasound features-based nomogram for preoperative differentiation of renal urothelial carcinoma and central renal cell carcinoma. World J Urol 2024; 42:227. [PMID: 38598055 DOI: 10.1007/s00345-024-04935-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 03/20/2024] [Indexed: 04/11/2024] Open
Abstract
PURPOSE This study aimed to develop and validate an ultrasound (US)-based nomogram for the preoperative differentiation of renal urothelial carcinoma (rUC) from central renal cell carcinoma (c-RCC). METHODS Clinical data and US images of 655 patients with 655 histologically confirmed malignant renal tumors (521 c-RCCs and 134 rUCs) were collected and divided into training (n = 455) and validation (n = 200) cohorts according to examination dates. Conventional US and contrast-enhanced US (CEUS) tumor features were analyzed to determine those that could discriminate rUC from c-RCC. Least absolute shrinkage and selection operator regression was applied to screen clinical and US features for the differentiation of rUC from c-RCC. Using multivariate logistic regression analysis, a diagnostic model of rUC was constructed and visualized as a nomogram. The diagnostic model's performance was assessed in the training and validation cohorts by calculating the area under the receiver operating characteristic curve (AUC) and calibration plot. Decision curve analysis (DCA) was used to assess the clinical usefulness of the US-based nomogram. RESULTS Seven features of both clinical features and ultrasound imaging were selected to build the diagnostic model. The nomogram achieved favorable discrimination in the training (AUC = 0.996, 95% CI: 0.993-0.999) and validation (AUC = 0.995, 95% CI: 0.974, 1.000) cohorts, and good calibration (Brier scores: 0.019 and 0.016, respectively). DCA demonstrated the clinical usefulness of the US-based nomogram. CONCLUSION A noninvasive clinical and US-based nomogram combining conventional US and CEUS features possesses good predictive value for differentiating rUC from c-RCC.
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Affiliation(s)
- Cuixian Li
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Fudan University, No. 180 of Fenglin Road, Shanghai, 200032, China
| | - Beilei Lu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Qing Zhao
- Department of Interventional Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Qing Lu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jingjing Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Pei Sun
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Huixiong Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Fudan University, No. 180 of Fenglin Road, Shanghai, 200032, China
| | - Beijian Huang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Shanghai Institute of Medical Imaging, Fudan University, No. 180 of Fenglin Road, Shanghai, 200032, China.
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ENER K, CANDA AE, BİNBAY M, BALBAY MD, ATMACA AF. Zero ischemia robotic partial nephrectomy: Oncological and functional outcomes of a multicenter study. Turk J Med Sci 2023; 53:941-948. [PMID: 38031944 PMCID: PMC10760587 DOI: 10.55730/1300-0144.5658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 08/18/2023] [Accepted: 02/28/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND The functional and oncological outcomes of zero ischemia robotic partial nephrectomy (RPN) procedures were evaluated. METHODS A total of 56 patients underwent zero ischemia RPN transperitoneally, and their data were collected prospectively. Radius, exo/endophytic, nearness, anterior/posterior, location (R.E.N.A.L.) nephrometry, and PADUA scores were calculated. Patient and tumor characteristics were evaluated. Intra- and perioperative (0-30 days) complications were evaluated by Clavien classification. The change in serum creatinine, and estimated glomerular filtration rates (eGFR) were evaluated during preoperative, immediate postoperative periods, and at postoperative 6th months. RESULTS The mean age of the patients was 52.2 ± 8.1 (27-75) years. R.E.N.A.L. nephrometry and PADUA scores were 6.1 ± 1.3 and 7.3 ± 1.0, respectively. The duration of surgery was 108.4 ± 18.2 min and estimated blood loss was 166.2 ± 124.7 mL. There were no intraoperative complications in any of the patients. Clavien Grade 1 and 3 complications were seen in 2 patients in the perioperative period. In the perioperative period (1-30 days), one patient required blood transfusion and angiographic intervention due to postoperative bleeding (Clavien Grade 3), and one patient required hospitalisation due to prolonged subileus (Clavien Grade 1) that resolved conservatively. The radiological and pathological tumor sizes were 3.1 ± 1.1 cm and 2.8 ± 1.4 cm, respectively. The surgical margins were positive in two patients with tumour sizes of 1.5 and 4 cm. Neither local recurrence nor distant metastasis was detected, during 33.6 ± 12.3 (3-76) months. There were no statistically significant differences between preoperative eGFR and serum creatinine levels, compared with those of immediate postoperative and postoperative 6th month periods. DISCUSSION Zero ischemia RPN is a safe and applicable method with acceptable oncological and functional outcomes in small renal tumors and even in selected larger renal tumors.
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Affiliation(s)
- Kemal ENER
- Department of Urology, Ümraniye Training and Research Hospital, University of Health Sciences, İstanbul,
Turkiye
| | | | - Murat BİNBAY
- Department of Urology, School of Medicine, Altınbaş University, İstanbul,
Turkiye
| | - Mevlana Derya BALBAY
- Department of Urology, Ümraniye Training and Research Hospital, University of Health Sciences, İstanbul,
Turkiye
| | - Ali Fuat ATMACA
- Department of Urology, School of Medicine, Ankara Yıldırım Beyazıt University, Ankara,
Turkiye
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Tsili AC, Moulopoulos LA, Varakarakis IΜ, Argyropoulou MI. Cross-sectional imaging assessment of renal masses with emphasis on MRI. Acta Radiol 2021; 63:1570-1587. [PMID: 34709096 DOI: 10.1177/02841851211052999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Magnetic resonance imaging (MRI) is a useful complementary imaging tool for the diagnosis and characterization of renal masses, as it provides both morphologic and functional information. A core MRI protocol for renal imaging should include a T1-weighted sequence with in- and opposed-phase images (or, alternatively with DIXON technique), T2-weighted and diffusion-weighted images as well as a dynamic contrast-enhanced sequence with subtraction images, followed by a delayed post-contrast T1-weighted sequence. The main advantages of MRI over computed tomography include increased sensitivity for contrast enhancement, less sensitivity for detection of calcifications, absence of pseudoenhancement, and lack of radiation exposure. MRI may be applied for renal cystic lesion characterization, differentiation of renal cell carcinoma (RCC) from benign solid renal tumors, RCC histologic grading, staging, post-treatment follow-up, and active surveillance of patients with treated or untreated RCC.
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Affiliation(s)
- Athina C Tsili
- Department of Clinical Radiology, School of Medicine, University of Ioannina, Ioannina, Greece
| | - Lia-Angela Moulopoulos
- 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, Athens, Greece
| | - Ioannis Μ Varakarakis
- 2nd Department of Urology, National and Kapodistrian University of Athens, Sismanoglio Hospital, Athens, Greece
| | - Maria I Argyropoulou
- Department of Clinical Radiology, School of Medicine, University of Ioannina, Ioannina, Greece
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Tsili AC, Andriotis E, Gkeli MG, Krokidis M, Stasinopoulou M, Varkarakis IM, Moulopoulos LA. The role of imaging in the management of renal masses. Eur J Radiol 2021; 141:109777. [PMID: 34020173 DOI: 10.1016/j.ejrad.2021.109777] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/09/2021] [Accepted: 05/14/2021] [Indexed: 12/26/2022]
Abstract
The wide availability of cross-sectional imaging is responsible for the increased detection of small, usually asymptomatic renal masses. More than 50 % of renal cell carcinomas (RCCs) represent incidental findings on noninvasive imaging. Multimodality imaging, including conventional US, contrast-enhanced US (CEUS), CT and multiparametric MRI (mpMRI) is pivotal in diagnosing and characterizing a renal mass, but also provides information regarding its prognosis, therapeutic management, and follow-up. In this review, imaging data for renal masses that urologists need for accurate treatment planning will be discussed. The role of US, CEUS, CT and mpMRI in the detection and characterization of renal masses, RCC staging and follow-up of surgically treated or untreated localized RCC will be presented. The role of percutaneous image-guided ablation in the management of RCC will be also reviewed.
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Affiliation(s)
- Athina C Tsili
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, 45110, Ioannina, Greece.
| | - Efthimios Andriotis
- Department of Newer Imaging Methods of Tomography, General Anti-Cancer Hospital Agios Savvas, 11522, Athens, Greece.
| | - Myrsini G Gkeli
- 1st Department of Radiology, General Anti-Cancer Hospital Agios Savvas, 11522, Athens, Greece.
| | - Miltiadis Krokidis
- 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 11528, Athens, Greece; Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital Bern University Hospital, University of Bern, 3010, Bern, Switzerland.
| | - Myrsini Stasinopoulou
- Department of Newer Imaging Methods of Tomography, General Anti-Cancer Hospital Agios Savvas, 11522, Athens, Greece.
| | - Ioannis M Varkarakis
- 2nd Department of Urology, National and Kapodistrian University of Athens, Sismanoglio Hospital, 15126, Athens, Greece.
| | - Lia-Angela Moulopoulos
- 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 11528, Athens, Greece.
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The Role of Daily Adaptive Stereotactic MR-Guided Radiotherapy for Renal Cell Cancer. Cancers (Basel) 2020; 12:cancers12102763. [PMID: 32992844 PMCID: PMC7601380 DOI: 10.3390/cancers12102763] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 09/16/2020] [Accepted: 09/22/2020] [Indexed: 01/20/2023] Open
Abstract
Simple Summary Standard treatment for localized renal cell carcinoma (RCC) is surgery. Stereotactic radiotherapy given in a few high dose fractions is a promising treatment for this indication and could be an alternative option for patients unsuitable for surgery. Stereotactic MR-guided radiotherapy (MRgRT) is clinically implemented as a new technique for precise treatment delivery of abdominal tumors, like RCC. In this study, we evaluated the clinical impact of stereotactic MRgRT given in five fractions of 8 Gy and routine plan re-optimization for 36 patients with large primary RCCs. Our evaluation showed good oncological results with minimal side-effects. Even in this group with large tumors, daily plan re-optimization was only needed in a minority of patients who can be identified upfront. This is a favorable result since online MRgRT plan adaptation is a time-consuming procedure. In these patients, MRgRT delivery will be faster, and these patients could be candidates for even less fractions per treatment. Abstract Novel magnetic-resonance-guided radiotherapy (MRgRT) permits real-time soft-tissue visualization, respiratory-gated delivery with minimal safety margins, and time-consuming daily plan re-optimisation. We report on early clinical outcomes of MRgRT and routine plan re-optimization for large primary renal cell cancer (RCC). Thirty-six patients were treated with MRgRT in 40 Gy/5 fractions. Prior to each fraction, re-contouring of tumor and normal organs on a pretreatment MR-scan allowed daily plan re-optimization. Treatment-induced toxicity and radiological responses were scored, which was followed by an offline analysis to evaluate the need for such daily re-optimization in 180 fractions. Mean age and tumor diameter were 78.1 years and 5.6 cm, respectively. All patients completed MRgRT with an average fraction duration of 45 min. Local control (LC) and overall survival rates at one year were 95.2% and 91.2%. No grade ≥3 toxicity was reported. Plans without re-optimization met institutional radiotherapy constraints in 83.9% of 180 fractions. Thus, daily plan re-optimization was required for only a minority of patients, who can be identified upfront by a higher volume of normal organs receiving 25 Gy in baseline plans. In conclusion, stereotactic MRgRT for large primary RCC showed low toxicity and high LC, while daily plan re-optimization was required only in a minority of patients.
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