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T1a renal cell carcinoma on unenhanced CT: analysis of detectability and imaging features

BACKGROUND: Increasing use of unenhanced computed tomography (CT) has been associated with the increasing incidental detection of renal cell carcinoma (RCC) at an earlier stage. PURPOSE: To evaluate the characteristics in detecting and differentiating T1a RCCs on unenhanced CT. MATERIAL AND METHODS:...

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Autores principales: Gobara, Aiko, Yoshizako, Takeshi, Yoshida, Rika, Nakamura, Megumi, Shiina, Hiroaki, Kitagaki, Hajime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535905/
https://www.ncbi.nlm.nih.gov/pubmed/31205754
http://dx.doi.org/10.1177/2058460119849706
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author Gobara, Aiko
Yoshizako, Takeshi
Yoshida, Rika
Nakamura, Megumi
Shiina, Hiroaki
Kitagaki, Hajime
author_facet Gobara, Aiko
Yoshizako, Takeshi
Yoshida, Rika
Nakamura, Megumi
Shiina, Hiroaki
Kitagaki, Hajime
author_sort Gobara, Aiko
collection PubMed
description BACKGROUND: Increasing use of unenhanced computed tomography (CT) has been associated with the increasing incidental detection of renal cell carcinoma (RCC) at an earlier stage. PURPOSE: To evaluate the characteristics in detecting and differentiating T1a RCCs on unenhanced CT. MATERIAL AND METHODS: We retrospectively reviewed 68 patients with 68 T1a RCCs and 39 benign regions. Two radiologists interpreted the images on unenhanced axial CT and performed a blinded and independent review of T1a RCCs. The readers evaluated the presence of RCC and differentiated the detected lesions. RESULTS: The consensus of two readers detected 53 (78%) RCCs. Of the 53 detected RCCs, 42 (62%) RCCs were correctly diagnosed and 11 (16%) masses were misdiagnosed as benign. Of the 39 benign regions, 29 (74%) cysts were diagnosed correctly, but 10 (26%) cysts were misdiagnosed as malignant. The following values of the radiologists were obtained by consensus: sensitivity = 61.8% (42/68); specificity = 74.4% (29/39); positive predictive value = 80.8% (42/52); negative predictive value = 55.0% (29/55); accuracy = 66.4% (71/107). The receiver operating characteristic curve of consensus was 0.754. Inter-observer correlation was κ = 0.849. There was a significant difference in tumor size (P = 0.019) and the contour type of tumor (P = 0.0207) between correctly diagnosed RCCs and not correctly diagnosed RCCs. CONCLUSION: Our findings showed that tumor size and contour type could affect the detection and differentiation of T1a RCC on unenhanced CT. To detect and differentiate T1a RCC on unenhanced CT is difficult. However, the findings from this study may help detection of RCCs on unenhanced CT.
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spelling pubmed-65359052019-06-14 T1a renal cell carcinoma on unenhanced CT: analysis of detectability and imaging features Gobara, Aiko Yoshizako, Takeshi Yoshida, Rika Nakamura, Megumi Shiina, Hiroaki Kitagaki, Hajime Acta Radiol Open Research BACKGROUND: Increasing use of unenhanced computed tomography (CT) has been associated with the increasing incidental detection of renal cell carcinoma (RCC) at an earlier stage. PURPOSE: To evaluate the characteristics in detecting and differentiating T1a RCCs on unenhanced CT. MATERIAL AND METHODS: We retrospectively reviewed 68 patients with 68 T1a RCCs and 39 benign regions. Two radiologists interpreted the images on unenhanced axial CT and performed a blinded and independent review of T1a RCCs. The readers evaluated the presence of RCC and differentiated the detected lesions. RESULTS: The consensus of two readers detected 53 (78%) RCCs. Of the 53 detected RCCs, 42 (62%) RCCs were correctly diagnosed and 11 (16%) masses were misdiagnosed as benign. Of the 39 benign regions, 29 (74%) cysts were diagnosed correctly, but 10 (26%) cysts were misdiagnosed as malignant. The following values of the radiologists were obtained by consensus: sensitivity = 61.8% (42/68); specificity = 74.4% (29/39); positive predictive value = 80.8% (42/52); negative predictive value = 55.0% (29/55); accuracy = 66.4% (71/107). The receiver operating characteristic curve of consensus was 0.754. Inter-observer correlation was κ = 0.849. There was a significant difference in tumor size (P = 0.019) and the contour type of tumor (P = 0.0207) between correctly diagnosed RCCs and not correctly diagnosed RCCs. CONCLUSION: Our findings showed that tumor size and contour type could affect the detection and differentiation of T1a RCC on unenhanced CT. To detect and differentiate T1a RCC on unenhanced CT is difficult. However, the findings from this study may help detection of RCCs on unenhanced CT. SAGE Publications 2019-05-13 /pmc/articles/PMC6535905/ /pubmed/31205754 http://dx.doi.org/10.1177/2058460119849706 Text en © The Foundation Acta Radiologica 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Research
Gobara, Aiko
Yoshizako, Takeshi
Yoshida, Rika
Nakamura, Megumi
Shiina, Hiroaki
Kitagaki, Hajime
T1a renal cell carcinoma on unenhanced CT: analysis of detectability and imaging features
title T1a renal cell carcinoma on unenhanced CT: analysis of detectability and imaging features
title_full T1a renal cell carcinoma on unenhanced CT: analysis of detectability and imaging features
title_fullStr T1a renal cell carcinoma on unenhanced CT: analysis of detectability and imaging features
title_full_unstemmed T1a renal cell carcinoma on unenhanced CT: analysis of detectability and imaging features
title_short T1a renal cell carcinoma on unenhanced CT: analysis of detectability and imaging features
title_sort t1a renal cell carcinoma on unenhanced ct: analysis of detectability and imaging features
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535905/
https://www.ncbi.nlm.nih.gov/pubmed/31205754
http://dx.doi.org/10.1177/2058460119849706
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