Uncommon malignant renal tumors and atypical presentation of common ones: a guide for radiologists

Laguna, Benjamin; Westphalen, Antonio C.; Guimarães, Cassia T. S.; Whang, Zhen; Simko, Jeff; Zagoria, Ronald J.

doi:10.1007/s00261-018-1789-4

Cited by 5 publications

(8 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Type I pRCCs characteristically present with hypointense signal intensity on T2-weighted images relative to normal renal cortex and demonstrate progressive enhancement (Figure 5) [30]. Type II tumors are generally larger, have indistinct margins, and have heterogenous T2-weighted signal and enhancement due to increased vascularity and necrosis [1]. Additionally, pRCCs will have lower signal intensity compared to normal renal parenchyma on ssT2WI secondary to hemosiderin deposits [9,34].…”

Section: Papillary Renal Cell Carcinomamentioning

confidence: 99%

“…Chromophobe renal cell carcinomas (chRCCs) represent approximately 5% of renal tumors, making chRCCs the third most common subtype of RCC behind the clear cell and Type II tumors are generally larger, have indistinct margins, and have heterogenous T2-weighted signal and enhancement due to increased vascularity and necrosis [1]. Additionally, pRCCs will have lower signal intensity compared to normal renal parenchyma on ssT2WI secondary to hemosiderin deposits [9,34].…”

Section: Chromophobe Renal Cell Carcinomamentioning

confidence: 99%

“…The incidence of solid renal tumors has been increasing steadily in recent decades, with the rate at 7.1 to 10.8 cases per 100,000 between 1983 and 2002 [1,2]. Mortality from this same time period presented a paradoxical finding; the increased rate of diagnosis did not improve mortality, which increased from 1.5 to 6.5 deaths per 100 [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach

Chartier

Arif-Tiwari

2023

Cancers

View full text Add to dashboard Cite

Between 1983 and 2002, the incidence of solid renal tumors increased from 7.1 to 10.8 cases per 100,000. This is in large part due to the increase in the volume of ultrasound and cross-sectional imaging, although a majority of solid renal tumors are still found incidentally. Ultrasound and computed tomography (CT) have been the mainstay of renal mass screening and diagnosis but recent advances in magnetic resonance (MR) technology have made this the optimal choice when diagnosing and staging renal tumors. Our purpose in writing this review is to survey the modern MR imaging approach to benign and malignant solid renal tumors, consolidate the various imaging findings into an easy-to-read reference, and provide an imaging-based, algorithmic approach to renal mass characterization for clinicians. MR is at the forefront of renal mass characterization, surpassing ultrasound and CT in its ability to describe multiple tissue parameters and predict tumor biology. Cutting-edge MR protocols and the integration of diagnostic algorithms can improve patient outcomes, allowing the imager to narrow the differential and better guide oncologic and surgical management.

show abstract

Section: Papillary Renal Cell Carcinomamentioning

confidence: 99%

Section: Chromophobe Renal Cell Carcinomamentioning

confidence: 99%

See 1 more Smart Citation

MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach

Chartier

Arif-Tiwari

2023

Cancers

View full text Add to dashboard Cite

show abstract

“…In addition, CCSKs may show a similar presentation to stromal WTs, given their stromal pattern with fine vasculature 43 . While age currently seems the most important discriminating factor to favor RCC over other renal tumors, hypointensity on T2‐weighted imaging is often reported as a distinguishing characteristic 44–46 . Finally, tumor size might play a differentiating role, with WTs and CCSKs presenting with large volumes compared to the smaller size of RCCs and RTKs, especially 9,31,47,48 …”

Section: Imaging Of Renal Tumors By the Cog And Siop‐rtsgmentioning

confidence: 99%

Similarities and controversies in imaging of pediatric renal tumors: A SIOP‐RTSG and COG collaboration

Beek

Artunduaga

Schenk

et al. 2022

Pediatric Blood & Cancer

View full text Add to dashboard Cite

Malignant renal tumors are rare in children, and Wilms tumors (WTs) are the most common subtype. Imaging plays an essential role in the diagnosis, staging, and followup of these patients. Initial workup for staging is mainly performed by cross-sectional imaging modalities such as computed tomography (CT) and magnetic resonance imaging (MRI). Imaging approach within the two core international groups, the Children's Oncology Group (COG, North America) and the International Society of Pediatric Oncology -Renal Tumor Study Group (SIOP-RTSG, Europe), differs. Whereas abdominal ultrasound (US) is used for the initial diagnosis of a suspected pediatric renal tumor globally, COG protocols support the use of CT or MRI for locoregional staging, contrary to the preference for MRI over CT for abdominopelvic evaluation within the SIOP-RTSG. The purpose of this manuscript is to summarize current imaging approaches, highlighting differences and similarities within these core international groups, while focusing on future innovative efforts and collaboration within the HARMONICA initiative.

show abstract

“…Some subtypes of malignant renal tumors may have overlapping imaging findings with benign masses, such as angiomyolipoma and oncocytoma, leading to difficulties for the radiological differentiation of these lesions. 2 It is reported that 16.1% of the patients who underwent a partial nephrectomy due to a suspicious malignant kidney lesion had benign histopathological diagnosis. 3 Hounsfield units (HU) are the numbers that are obtained from a linear transformation of the measured attenuation coefficients to calculate the density of a lesion on Computed Tomography scans.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Computed Tomography Density Value In Benign-Malignant Differentiation Of Renal Masses

Özkaçmaz¹,

Dündar²,

Kankılıç³

et al. 2021

Ahi Evran Medical Journal

View full text Add to dashboard Cite

Benign ve malign böbrek kitlelerinin ayrımında kontrastlı ve kontrastsız Bilgisayarlı Tomografi imajlar üzerinde lezyonlardan ölçülen ortalama Hounsfield Unit (HU) değerinin rolünü araştırmayı amaçladık.Araçlar ve Yöntem: Bu retrospektif çalışmada böbrekte kitle nedeniyle biyopsi yapılan hastaların histopatolojik sonuçları, demografik özellikleri ve Bilgisayarlı Tomografi incelemeleri hastane veritabanından tarandı. Hastaların patoloji sonuçları benign ve malign olarak gruplara ayrıldı. Kontrastlı ve kontrastsız bilgisayarlı tomografi imajlarda lezyonlardan ortalama dansiteler HU olarak ölçüldü. Benign ve malign gruplar arasında ölçülen HU değerleri açısından student t testi ile karşılaştırmalar yapıldı.Bulgular: Kontrastlı BT'si olan ve histopatoloji sonucu malign çıkan hastaların (17 erkek,11 kadın hasta) ölçülen HU değerlerinin ortalaması 83,7± 39,4 benign çıkanların (5 erkek,4 kadın) ortalaması ise 81,0± 52,9 olup iki grup arasında anlamlı farklılık saptanmadı (p:0.8704). Kontrastsız BT'si olup histopatoloji sonucu malign çıkan hastaların (12 erkek,9 kadın hasta) ölçülen HU değerlerinin ortalaması 29,3± 8,1, benign çıkanların (1 erkek, 4 kadın) ortalaması ise 9,4± 42,0 olup benign grupta HU değeri anlamlı olarak düşük bulundu. (p:0.0426).Sonuç: Kontrastlı BT imajlarında (70. Saniye) renal kitlelerden ölçülen ortalama HU değerlerinin çalışmamızda malign-benign kitle ayrımına katkı sağlamadığı saptanmıştır ancak kontrastsız imajlarda ölçülen değerler bu ayrım için faydalı olabilir.

show abstract

Uncommon malignant renal tumors and atypical presentation of common ones: a guide for radiologists

Cited by 5 publications

References 65 publications

MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach

MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach

Similarities and controversies in imaging of pediatric renal tumors: A SIOP‐RTSG and COG collaboration

Effectiveness of Computed Tomography Density Value In Benign-Malignant Differentiation Of Renal Masses

Contact Info

Product

Resources

About