Targeted Renal Biopsy: Predictors on Imaging

Objectives The renal nephrometry score uses imaging characteristics such as lesion diameter, location, and proximity to hilar vessels to categorize renal masses by complexity for preoperative planning. These characteristics may also be used to determine the best approach to targeted renal biopsy. Th...

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Main Authors: Janki Trivedi, Arpit Talwar, Ahmed Nada, Simon Li, Adele Lee, Tom R. Sutherland
Format: Article
Language:English
Published: Thieme Medical and Scientific Publishers Pvt. Ltd. 2022-07-01
Series:The Arab Journal of Interventional Radiology
Subjects:
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1757785
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author Janki Trivedi
Arpit Talwar
Ahmed Nada
Simon Li
Adele Lee
Tom R. Sutherland
author_facet Janki Trivedi
Arpit Talwar
Ahmed Nada
Simon Li
Adele Lee
Tom R. Sutherland
author_sort Janki Trivedi
collection DOAJ
description Objectives The renal nephrometry score uses imaging characteristics such as lesion diameter, location, and proximity to hilar vessels to categorize renal masses by complexity for preoperative planning. These characteristics may also be used to determine the best approach to targeted renal biopsy. This study was conducted to investigate the impact of renal lesion characteristics as measured by the renal nephrometry score on the choice of modality used for performing a targeted renal lesion biopsy and increasing the chance of yielding a diagnostic biopsy. Materials and Methods All targeted computed tomography (CT)/ultrasound-guided renal biopsies performed by our radiology department from January 2017 to February 2020 were reviewed. Radiological characteristics and pathological outcomes were recorded with data on lesion size/ side, location in craniocaudal/anterior–posterior planes, endophytic/exophytic/mixed nature, and skin-lesion distance. Statistical Analysis Chi-squared tests, multivariate analysis, and t-tests were used in this study. Results Of the 145 consecutive patients included in the study, 86.2% (125/145) biopsies were diagnostic. About 54.5% (79/145) biopsies were ultrasound-guided, while 45.5% (66/145) were CT-guided. About 62.1% (90/145) biopsies revealed renal cell carcinoma. The highest rate of diagnostic biopsy was in the exophytic, laterally positioned mass either entirely below lower polar or above upper polar line. Ultrasound was preferred for lesions under 4cm and 4 to 7cm (p = 0.06). CT was used for anterior lesions and ultrasound for posterior and lateral lesions (p < 0.001). Of the 20 nondiagnostic biopsies, 7/20 had a repeat biopsy, 7/20 underwent surveillance, 5/20 underwent partial or total nephrectomy, and 1/20 underwent a pathological lymph node biopsy. Conclusions Our study highlights some factors radiologists should consider when predicting whether CT or ultrasound guidance is more appropriate and the probability of achieving a diagnostic biopsy based on lesion characteristics. At our institution, both modalities achieved high accuracy, although we favored ultrasound in lateral, posterior, and small lesions. These factors should be weighed against local experience and preference.
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spelling doaj.art-75f98b72376b4c30913a1fb78671e7502022-12-22T03:53:01ZengThieme Medical and Scientific Publishers Pvt. Ltd.The Arab Journal of Interventional Radiology2542-70752542-70832022-07-01060208709110.1055/s-0042-1757785Targeted Renal Biopsy: Predictors on ImagingJanki Trivedi0Arpit Talwar1Ahmed Nada2Simon Li3Adele Lee4Tom R. Sutherland5Department of Medical Imaging, St. Vincent's Hospital, Melbourne, Victoria, AustraliaDepartment of Medical Imaging, St. Vincent's Hospital, Melbourne, Victoria, AustraliaDepartment of Medical Imaging, St. Vincent's Hospital, Melbourne, Victoria, AustraliaDepartment of Medical Imaging, St. Vincent's Hospital, Melbourne, Victoria, AustraliaDepartment of Medical Imaging, St. Vincent's Hospital, Melbourne, Victoria, AustraliaDepartment of Medical Imaging, St. Vincent's Hospital, Melbourne, Victoria, AustraliaObjectives The renal nephrometry score uses imaging characteristics such as lesion diameter, location, and proximity to hilar vessels to categorize renal masses by complexity for preoperative planning. These characteristics may also be used to determine the best approach to targeted renal biopsy. This study was conducted to investigate the impact of renal lesion characteristics as measured by the renal nephrometry score on the choice of modality used for performing a targeted renal lesion biopsy and increasing the chance of yielding a diagnostic biopsy. Materials and Methods All targeted computed tomography (CT)/ultrasound-guided renal biopsies performed by our radiology department from January 2017 to February 2020 were reviewed. Radiological characteristics and pathological outcomes were recorded with data on lesion size/ side, location in craniocaudal/anterior–posterior planes, endophytic/exophytic/mixed nature, and skin-lesion distance. Statistical Analysis Chi-squared tests, multivariate analysis, and t-tests were used in this study. Results Of the 145 consecutive patients included in the study, 86.2% (125/145) biopsies were diagnostic. About 54.5% (79/145) biopsies were ultrasound-guided, while 45.5% (66/145) were CT-guided. About 62.1% (90/145) biopsies revealed renal cell carcinoma. The highest rate of diagnostic biopsy was in the exophytic, laterally positioned mass either entirely below lower polar or above upper polar line. Ultrasound was preferred for lesions under 4cm and 4 to 7cm (p = 0.06). CT was used for anterior lesions and ultrasound for posterior and lateral lesions (p < 0.001). Of the 20 nondiagnostic biopsies, 7/20 had a repeat biopsy, 7/20 underwent surveillance, 5/20 underwent partial or total nephrectomy, and 1/20 underwent a pathological lymph node biopsy. Conclusions Our study highlights some factors radiologists should consider when predicting whether CT or ultrasound guidance is more appropriate and the probability of achieving a diagnostic biopsy based on lesion characteristics. At our institution, both modalities achieved high accuracy, although we favored ultrasound in lateral, posterior, and small lesions. These factors should be weighed against local experience and preference.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1757785renallesioncancertargetedbiopsy
spellingShingle Janki Trivedi
Arpit Talwar
Ahmed Nada
Simon Li
Adele Lee
Tom R. Sutherland
Targeted Renal Biopsy: Predictors on Imaging
The Arab Journal of Interventional Radiology
renal
lesion
cancer
targeted
biopsy
title Targeted Renal Biopsy: Predictors on Imaging
title_full Targeted Renal Biopsy: Predictors on Imaging
title_fullStr Targeted Renal Biopsy: Predictors on Imaging
title_full_unstemmed Targeted Renal Biopsy: Predictors on Imaging
title_short Targeted Renal Biopsy: Predictors on Imaging
title_sort targeted renal biopsy predictors on imaging
topic renal
lesion
cancer
targeted
biopsy
url http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1757785
work_keys_str_mv AT jankitrivedi targetedrenalbiopsypredictorsonimaging
AT arpittalwar targetedrenalbiopsypredictorsonimaging
AT ahmednada targetedrenalbiopsypredictorsonimaging
AT simonli targetedrenalbiopsypredictorsonimaging
AT adelelee targetedrenalbiopsypredictorsonimaging
AT tomrsutherland targetedrenalbiopsypredictorsonimaging