State of the art review of AI in renal imaging

Abdominal Radiology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 28, 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 higher detection incidental renal lesions. Differentiation between benign and malignant lesions is essential for effective treatment planning prognosis. tumors present numerous histological subtypes different prognoses, making precise subtype differentiation crucial. Artificial intelligence (AI), especially machine learning (ML) deep (DL), shows promise in radiological analysis, providing advanced tools lesion detection, segmentation, classification improve diagnosis personalize treatment. Recent advancements AI have demonstrated effectiveness identifying predicting surveillance outcomes, yet limitations remain, including data variability, interpretability, publication bias. In this review we explored the current role assessing kidney lesions, highlighting its potential preoperative addressing existing challenges clinical implementation.

Язык: Английский

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Artificial intelligence for renal cancer: From imaging to histology and beyond

Asian journal of urology, Год журнала: 2022, Номер 9(3), С. 243 - 252

Опубликована: Июнь 18, 2022

Artificial intelligence (AI) has made considerable progress within the last decade and is subject of contemporary literature. This trend driven by improved computational abilities increasing amounts complex data that allow for new approaches in analysis interpretation. Renal cell carcinoma (RCC) a rising incidence since most tumors are now detected at an earlier stage due to imaging. creates challenges as approximately 10%-17% kidney designated benign histopathological evaluation; however, certain co-morbid populations (the obese elderly) have increased peri-interventional risk. AI offers alternative solution helping optimize precision guidance diagnostic therapeutic decisions. The narrative review introduced basic principles provide comprehensive overview current techniques RCC. Currently, applications can be found any aspect RCC management including diagnostics, perioperative care, pathology, follow-up. Most commonly applied models include neural networks, random forest, support vector machines, regression. However, implementation daily practice, health care providers need develop understanding establish interdisciplinary collaborations order standardize datasets, define meaningful endpoints, unify

Язык: Английский

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CT of the urinary tract revisited

European Journal of Radiology, Год журнала: 2023, Номер 160, С. 110717 - 110717

Опубликована: Янв. 30, 2023

Язык: Английский

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Conditional generative learning for medical image imputation

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 2, 2024

Image imputation refers to the task of generating a type medical image given images another type. This becomes challenging when difference between available images, and be imputed is large. In this manuscript, one such application considered. It derived from dynamic contrast enhanced computed tomography (CECT) imaging kidneys: an incomplete sequence three CECT we are required impute missing image. posed as probabilistic inference generative algorithm generate samples image, conditioned on developed, trained, tested. The output "best guess" pixel-wise variance in imputation. demonstrated that best guess more accurate than those generated by other, deterministic deep-learning based algorithms, including ones which utilize additional information complex loss terms. also shown quantifies confidence reconstruction, can used determine whether result meets specified accuracy threshold therefore appropriate for downstream task.

Язык: Английский

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Contrast-Enhanced Ultrasound in the Diagnosis of Solid Renal Lesions

Journal of Clinical Medicine, Год журнала: 2024, Номер 13(13), С. 3821 - 3821

Опубликована: Июнь 29, 2024

The availability of imaging methods has enabled increased detection kidney lesions, which are a common clinical problem. It is estimated that more than half patients over the age 50 have at least one undetermined mass in kidney. appropriate characterization and diagnosis lesions imaged allows for proper therapeutic management. Previously, contrast-enhanced computed tomography (CT) magnetic resonance (MRI) been used their extended diagnosis. However, limitations these techniques, such as radiation exposure, renal toxicity, allergies to contrast agents, must be considered. Contrast-enhanced ultrasound (CEUS) increasingly being an examination resolve interpretive doubts arise with other diagnostic methods. Indeed, it can considered both problem-solving technique diagnosing distinguishing observation preservative treatment. Evaluation enhancement curve time on CEUS help differentiate malignant cell carcinoma (RCC) subtypes should resected from benign oncocytoma or angiomyolipoma (AML), surgery avoided. between tumors, pseudotumors, solid cystic tumors. Therefore, recent advances technology, emerged fast, reliable, cost-effective tool preoperative evaluation masses.

Язык: Английский

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Diffusion weighted imaging and diffusion kurtosis imaging in abdominal oncological setting: why and when

Infectious Agents and Cancer, Год журнала: 2022, Номер 17(1)

Опубликована: Июнь 9, 2022

Abstract This article provides an overview of diffusion kurtosis (DKI) imaging in abdominal oncology. DKI allows for more data on tissue structures than the conventional model (DWI). However, requires high quality images at b -values greater 1000 s/mm 2 and signal-to-noise ratio (SNR) that traditionally MRI systems are not able to acquire therefore there generally amplified anatomical distortions due less homogeneity field. Advances both hardware software modern scanners have currently enabled ultra-high -value offered ability apply multiple extracranial sites. Previous studies evaluated characterize discriminate tumor grade compared DWI. Additionally, several sequences used were based planar echo (EPI) acquisition, which is susceptible motion, metal air artefacts prone low SNRs distortions, leading some small lesions, may affect accuracy results. Another problem optimal DKI, remains be explored yet standardized, as well manual selection ROI, could parameters.

Язык: Английский

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Performance of clear cell likelihood scores in characterizing solid renal masses at multiparametric MRI: an external validation study

Abdominal Radiology, Год журнала: 2023, Номер unknown

Опубликована: Янв. 13, 2023

Язык: Английский

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Scientific Status Quo of Small Renal Lesions: Diagnostic Assessment and Radiomics

Journal of Clinical Medicine, Год журнала: 2024, Номер 13(2), С. 547 - 547

Опубликована: Янв. 18, 2024

Background: Small renal masses (SRMs) are defined as contrast-enhanced lesions less than or equal to 4 cm in maximal diameter, which can be compatible with stage T1a cell carcinomas (RCCs). Currently, 50–61% of all tumors found incidentally. Methods: The characteristics the lesion influence choice type management, include several methods SRM including nephrectomy, partial ablation, observation, and also stereotactic body radiotherapy. Typical imaging available for differentiating benign from malignant ultrasound (US), (CEUS), computed tomography (CT), magnetic resonance (MRI). Results: Although is first technique used detect small lesions, it has limitations. CT main most widely characterization. advantages MRI compared better contrast resolution tissue characterization, use functional sequences, possibility performing examination patients allergic iodine-containing medium, absence exposure ionizing radiation. For a correct evaluation during follow-up, necessary reliable method assessment represented by Bosniak classification system. This was initially developed based on findings, 2019 revision proposed inclusion features; however, latest not yet received widespread validation. Conclusions: radiomics an emerging increasingly central field applications such characterizing masses, distinguishing RCC subtypes, monitoring response targeted therapeutic agents, prognosis metastatic context.

Язык: Английский

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A rare confluence: Intratumoral arteriovenous malformation in renal cell carcinoma

Опубликована: Янв. 18, 2025

Renal cell carcinoma (RCC) is the most common renal tumor, accounting for approximately 2% of adult malignancies. However, there are also rare presentations RCC with metastatic sites, paraneoplastic disease, and abnormal findings that may mislead to diagnosis, including bleeding or vascular malformation like arteriovenous (AVM). Here we present case a woman complaining hematuria, weakness, fatigue. Ultrasound examination revealed large mixed echogenic lesion in right kidney, further intratumoral AVM.

Язык: Английский

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Multimodality Imaging Assessment of Desmoid Tumors: The Great Mime in the Era of Multidisciplinary Teams

Journal of Personalized Medicine, Год журнала: 2022, Номер 12(7), С. 1153 - 1153

Опубликована: Июль 16, 2022

Desmoid tumors (DTs), also known as desmoid fibromatosis or aggressive fibromatosis, are rare, locally invasive, non-metastatic soft tissue tumors. Although histological results represent the gold standard diagnosis, imaging represents fundamental tool for diagnosis of these analysis DTs a challenge radiologist, being able to mimic different pathological conditions. A proper is required establish an adequate therapeutic approach. Multimodality imaging, including ultrasound (US), computed tomography (CT) and Magnetic Resonance Imaging (MRI), should be preferred. Different techniques can guide minimally invasive treatments monitor their effectiveness. The purpose this review describe state-of-the-art multidisciplinary DTs; its role in patient management.

Язык: Английский

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