Research Article
BibTex RIS Cite

How Competent is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience

Year 2018, Volume: 71 Issue: 3, 187 - 193, 31.12.2018
https://izlik.org/JA67NT36LA

Abstract

Objectives: Accurate diagnosis of renal tumors is critical for obtaining the best treatment and longest possible survival. The purpose of this study is to evaluate computed tomography (CT) parameters of renal masses in order to assess benign and malignant nature as well as accurate grading.

Materials and Methods: Fifty three cases with multiphasic abdominal CTs between 2006 and 2011 were included. Precontrast, corticomedullary, nephrographic postcontrast phase images were retrospectively examined for lesion characteristics, enhancement degrees with regard to the normal renal parenchyma and abdominal aorta, blinded to the surgical results. To compare independent groups for categorical variables chi-square, for metric variables Mann-Whitney U tests were used. Receiver operating characteristics curve analysis was performed to group renal tumor subtypes and when applicable the cut-off values were determined, “Youden” index was calculated. p<0.05 was considered as statistically significant.

Results: Forty six of 53 lesions were malignant, 32 (57.1%) of them clear cell renal cell carcinomas (CCRCC), 5 (9.4%) papillary and 1 (1.9% chromophobe cell RCC. Cystic changes, calcifications and larger size were more pronounced in CCRCC (p< 0.05). The mean sizes of Fuhrman grade I and grade 4 tumors were 31.2±10.9 mm and 63.8±29.8 mm respectively. Fuhrman grades were significantly correlated with the lesion size at diagnosis (p<0.05). To discriminate CCRCC from other masses and CCRCC from other RCC subtypes, 44.5 HU cut-off as the early wash-in showed 81.3%-76.2 % and 81.3%-87.5% sensitivity and specificity, respectively. To discriminate CCRCC among other subtypes the threshold levels calculated from early wash-in, tumor/aorta, tumor/renal parenchyma densities at corticomedullary and nephrographic phases showed equal sensitivity and specificity (83.5% and 75% respectively).

Conclusion: Large size at diagnosis, cystic changes and calcifications were useful parameters to discriminate CCRCC from other tumors and other RCC subtypes. A cut- off value of 44.5 HU for early wash-in could discriminate CCRCC with high sensitivity and specificity. Size and cystic changes showed significant correlation with RCC subtypes and Fuhrman grades.

Ethical Statement

Ethics Committee Approval: Retrospective study. Informed Consent: Retrospective study. Peer-review: Externally and internally peer-reviewed. Authorship Contributions Concept: Z.A., C.Y., Design: Z.A., C.Y., Data Collection or Processing: Z.A., C.Y., Analysis or Interpretation: Z.A., D.G., Literature Search: Z.A., E.P., A.G.Ç., Writing: Z.A. Conflict of Interest: No conflict of interest was declared by the authors. Financial Disclosure: The authors declared that this study received no financial support.

Supporting Institution

-

Project Number

-

Thanks

-

References

  • 1. Motzer RJ, Bander NH, Nanus DM. Renal-cell carcinoma. N Engl J Med. 1996;335:865-875.
  • 2. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2015. CA Cancer J Clin. 2015;65:5-29.
  • 3. Gore ME, Larkin JM. Challenges and opportunities for converting renal cell carcinoma into a chronic disease with targeted therapies. Br J Cancer. 2011;104:399-406.
  • 4. Chow WH, Devesa SS, Warren JL, Fraumeni JF. Rising incidence of renal cell cancer in the United States. JAMA. 1999;281:1628-1631.
  • 5. Shinagare AB, Krajewski KM, Braschi-Amirfarzan M, et al. Advanced Renal Cell Carcinoma: Role of the Radiologist in the Era of Precision Medicine. Radiology. 2017;284:333-351.
  • 6. Siegel CL, McFarland EG, Brink JA, et al. CT of cystic renal masses: analysis of diagnostic performance and interobserver variation. AJR Am J Roentgenol. 1997;169:813-818.
  • 7. Israel GM, Bosniak MA. How I do it: evaluating renal masses. Radiology. 2005;236:441-450.
  • 8. Bird VG, Kanagarajah P, Morillo G, et al. Differentiation of oncocytoma and renal cell carcinoma in small renal masses (<4 cm): the role of 4-phase computerized tomography. World J Urol. 2011;29:787-792.
  • 9. Lughezzani G, Jeldres C, Isbarn H, et al. Tumor size is a determinant of the rate of stage T1 renal cell cancer synchronous metastasis. J Urol. 2009;182:1287-1293.
  • 10. Birnbaum BA, Jacobs JE, Ramchandani P. Multiphasic renal CT: comparison of renal mass enhancement during the corticomedullary and nephrographic phases. Radiology. 1996;200:753-758.
  • 11. Kovacs G, Akhtar M, Beckwith BJ, et al. The Heidelberg classification of renal cell tumours. J Pathol. 1997;183:131-133.
  • 12. Truong LD, Shen SS. Immunohistochemical diagnosis of renal neoplasms. Arch Pathol Lab Med. 2011;135:92-109.
  • 13. Pathology and Genetics of Tumours of the Urinary System and Male Genital Organs (IARC WHO Classification of Tumours) Lyon: IARC Press; 2004.
  • 14. Tirumani SH, Souza D, Krajewski KM, et al. Impact of histologic subtype and sarcomatoid transformation on metastasis in renal cell carcinoma: a single institute experience in 149 patients. Abdom Radiol (NY). 2016;41:295-302.
  • 15. Zhang J, Lefkowitz RA, Ishill NM, et al. Solid renal cortical tumors: differentiation with CT. Radiology. 2007;244:494-504.
  • 16. Sheir KZ, El-Azab M, Mosbah A, et al. Differentiation of renal cell carcinoma subtypes by multislice computerized tomography. J Urol. 2005;174:451- 455.
  • 17. Garant M, Bonaldi VM, Taourel P, et al. Enhancement patterns of renal masses during multiphase helical CT acquisitions. Abdom Imaging. 1998;23:431-436.
  • 18. Ruppert-Kohlmayr AJ, Uggowitzer M, et al. Differentiation of renal clear cell carcinoma and renal papillary carcinoma using quantitative CT enhancement parameters. AJR Am J Roentgenol. 2004;183:1387-1391.
  • 19. Young JR, Margolis D, Sauk S, et al. Clear cell renal cell carcinoma: discrimination from other renal cell carcinoma subtypes and oncocytoma at multiphasic multidetector CT. Radiology. 2013;267:444-453.
  • 20. Kim JK, Kim TK, Ahn HJ, et al. Differentiation of subtypes of renal cell carcinoma on helical CT scans. AJR Am J Roentgenol. 2002;178:1499-506.

Böbrek Malignitelerini Karakterizasyon ve Derecelemede Bilgisayarlı Tomografi Ne Kadar Yetkin: Bizim Deneyimimiz

Year 2018, Volume: 71 Issue: 3, 187 - 193, 31.12.2018
https://izlik.org/JA67NT36LA

Abstract

Giriş: Uygun tedavi ve mümkün olan en uzun sağkalım için böbrek tümörlerinde doğru tanı kritik önem taşır. Bu çalışmanın amacı böbrek kitlelerinde benign-malign ayrımı ve doğru dereceleme için bilgisayarlı tomografi (BT) parametrelerinin ayrıntılı incelenmesidir.

Gereç ve Yöntem: Çalışmaya 2006-2011 yılları arasında ünitemizde multifazik BT incelemesi gerçekleştirilmiş 53 hasta dahil edilmiştir. Prekontrast, kortikomedüller ve nefrografik faz görüntülerinde kitle, normal parankim ve abdominal aorta kontrastlanma dereceleri ile lezyonların görüntüleme bulguları, retrospektif ve cerrahi sonuçlara kör olarak değerlendirilmiştir. İstatistiksel analizde bağımsız gruplarda kategorik değişkenler için kikare, ölçülebilir değişkenler için Mann-Whitney U testi, kullanılmış, renal tümör tiplerini ayırmada alıcı işletim karakteristiği eğirisi analizleri gerçekleştirilmiştir, uygun parametrelerde eşik değer belirlemede “Youden” indeksi hesaplanmıştır. p<0,05 istatistiksel olarak anlamlı kabul edilmiştir.

Bulgular: Elli üç lezyondan 46 tanesi malign olup bunların 32’si (%57,1) berrak hücreli renal karsinom (BHRK), 5’i (%9,4) papiller ve 1 tanesi (%1,9) kromofob hücreli renal karsinomdu. İntralezyoner kistik değişiklikler, kalsifikasyonlar ve büyük boyut BHRK’de daha fazlaydı (p<0,05). Furhman derece 1 tümörlerde ortama boyut 31,2±10,9 mm iken, derece 4 tümörlerde 63,8±29,8 mm olarak saptandı. Tanı anındaki kitle boyutları ile Fuhrman dereceleri arasında anlamlı ilişki gözlendi (p<0,05). Erken wash-in eşik değeri olarak 44,5 HÜ alındığında BHRK’leri diğer renal kitlelerden ve diğer renal karsinom alt tiplerinden ayırmada duyarlılık ve özgüllük değerleri sırasıyla %81,3-%76,2 ile %81,3-%87,5 olarak bulundu. Tüm renal karsinomlar arasında BHRK’lerin ayrımı için bakılan parametrelerden elde edilen eşik değerlerine göre erken wash-in, kortikomedüller ve nefrografik fazlarda tümör/ aorta ve tümör/ normal renal parankim dansite oranları eş duyarlılık ve özgüllükte bulundu (sırasıyla; %83,5 ve %75).

Sonuç: Tanıda büyük boyut, kistik değişiklikler ve kalsifikasyon BHRK’leri diğer renal kitelerden ve diğer renal karsinom alt tiplerinden ayırmada kullanışlı parametreler olarak bulundu. Ayrıca erken wash-in eşik değeri olarak 44,5 HÜ alındığında BHRK’ların yüksek duyarlılık ve özgüllükle doğru tespit edilebileceği saptandı. Büyük boyut ve intralezyoner kistik değişiklikler, BHRK alt tipi ve yüksek Fuhrman derecesi ile korele bulundu.

Ethical Statement

-

Supporting Institution

-

Project Number

-

Thanks

-

References

  • 1. Motzer RJ, Bander NH, Nanus DM. Renal-cell carcinoma. N Engl J Med. 1996;335:865-875.
  • 2. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2015. CA Cancer J Clin. 2015;65:5-29.
  • 3. Gore ME, Larkin JM. Challenges and opportunities for converting renal cell carcinoma into a chronic disease with targeted therapies. Br J Cancer. 2011;104:399-406.
  • 4. Chow WH, Devesa SS, Warren JL, Fraumeni JF. Rising incidence of renal cell cancer in the United States. JAMA. 1999;281:1628-1631.
  • 5. Shinagare AB, Krajewski KM, Braschi-Amirfarzan M, et al. Advanced Renal Cell Carcinoma: Role of the Radiologist in the Era of Precision Medicine. Radiology. 2017;284:333-351.
  • 6. Siegel CL, McFarland EG, Brink JA, et al. CT of cystic renal masses: analysis of diagnostic performance and interobserver variation. AJR Am J Roentgenol. 1997;169:813-818.
  • 7. Israel GM, Bosniak MA. How I do it: evaluating renal masses. Radiology. 2005;236:441-450.
  • 8. Bird VG, Kanagarajah P, Morillo G, et al. Differentiation of oncocytoma and renal cell carcinoma in small renal masses (<4 cm): the role of 4-phase computerized tomography. World J Urol. 2011;29:787-792.
  • 9. Lughezzani G, Jeldres C, Isbarn H, et al. Tumor size is a determinant of the rate of stage T1 renal cell cancer synchronous metastasis. J Urol. 2009;182:1287-1293.
  • 10. Birnbaum BA, Jacobs JE, Ramchandani P. Multiphasic renal CT: comparison of renal mass enhancement during the corticomedullary and nephrographic phases. Radiology. 1996;200:753-758.
  • 11. Kovacs G, Akhtar M, Beckwith BJ, et al. The Heidelberg classification of renal cell tumours. J Pathol. 1997;183:131-133.
  • 12. Truong LD, Shen SS. Immunohistochemical diagnosis of renal neoplasms. Arch Pathol Lab Med. 2011;135:92-109.
  • 13. Pathology and Genetics of Tumours of the Urinary System and Male Genital Organs (IARC WHO Classification of Tumours) Lyon: IARC Press; 2004.
  • 14. Tirumani SH, Souza D, Krajewski KM, et al. Impact of histologic subtype and sarcomatoid transformation on metastasis in renal cell carcinoma: a single institute experience in 149 patients. Abdom Radiol (NY). 2016;41:295-302.
  • 15. Zhang J, Lefkowitz RA, Ishill NM, et al. Solid renal cortical tumors: differentiation with CT. Radiology. 2007;244:494-504.
  • 16. Sheir KZ, El-Azab M, Mosbah A, et al. Differentiation of renal cell carcinoma subtypes by multislice computerized tomography. J Urol. 2005;174:451- 455.
  • 17. Garant M, Bonaldi VM, Taourel P, et al. Enhancement patterns of renal masses during multiphase helical CT acquisitions. Abdom Imaging. 1998;23:431-436.
  • 18. Ruppert-Kohlmayr AJ, Uggowitzer M, et al. Differentiation of renal clear cell carcinoma and renal papillary carcinoma using quantitative CT enhancement parameters. AJR Am J Roentgenol. 2004;183:1387-1391.
  • 19. Young JR, Margolis D, Sauk S, et al. Clear cell renal cell carcinoma: discrimination from other renal cell carcinoma subtypes and oncocytoma at multiphasic multidetector CT. Radiology. 2013;267:444-453.
  • 20. Kim JK, Kim TK, Ahn HJ, et al. Differentiation of subtypes of renal cell carcinoma on helical CT scans. AJR Am J Roentgenol. 2002;178:1499-506.
There are 20 citations in total.

Details

Primary Language English
Subjects Radiology and Organ Imaging
Journal Section Research Article
Authors

Zehra Akkaya This is me 0000-0002-6483-3381

Ayşegül Gürsoy Çoruh 0000-0002-8638-8688

Elif Peker 0000-0002-0841-0085

Kayhan Çetin Atasoy This is me 0000-0002-2365-5224

Derya Gökmen 0000-0002-2412-1144

Cemil Yağcı 0000-0002-0400-0919

Project Number -
Publication Date December 31, 2018
DOI https://doi.org/10.4274/atfm.58066
IZ https://izlik.org/JA67NT36LA
Published in Issue Year 2018 Volume: 71 Issue: 3

Cite

APA Akkaya, Z., Gürsoy Çoruh, A., Peker, E., Atasoy, K. Ç., Gökmen, D., & Yağcı, C. (2018). How Competent is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience. Ankara Üniversitesi Tıp Fakültesi Mecmuası, 71(3), 187-193. https://doi.org/10.4274/atfm.58066
AMA 1.Akkaya Z, Gürsoy Çoruh A, Peker E, Atasoy KÇ, Gökmen D, Yağcı C. How Competent is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2018;71(3):187-193. doi:10.4274/atfm.58066
Chicago Akkaya, Zehra, Ayşegül Gürsoy Çoruh, Elif Peker, Kayhan Çetin Atasoy, Derya Gökmen, and Cemil Yağcı. 2018. “How Competent Is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience”. Ankara Üniversitesi Tıp Fakültesi Mecmuası 71 (3): 187-93. https://doi.org/10.4274/atfm.58066.
EndNote Akkaya Z, Gürsoy Çoruh A, Peker E, Atasoy KÇ, Gökmen D, Yağcı C (December 1, 2018) How Competent is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience. Ankara Üniversitesi Tıp Fakültesi Mecmuası 71 3 187–193.
IEEE [1]Z. Akkaya, A. Gürsoy Çoruh, E. Peker, K. Ç. Atasoy, D. Gökmen, and C. Yağcı, “How Competent is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience”, Ankara Üniversitesi Tıp Fakültesi Mecmuası, vol. 71, no. 3, pp. 187–193, Dec. 2018, doi: 10.4274/atfm.58066.
ISNAD Akkaya, Zehra - Gürsoy Çoruh, Ayşegül - Peker, Elif - Atasoy, Kayhan Çetin - Gökmen, Derya - Yağcı, Cemil. “How Competent Is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience”. Ankara Üniversitesi Tıp Fakültesi Mecmuası 71/3 (December 1, 2018): 187-193. https://doi.org/10.4274/atfm.58066.
JAMA 1.Akkaya Z, Gürsoy Çoruh A, Peker E, Atasoy KÇ, Gökmen D, Yağcı C. How Competent is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2018;71:187–193.
MLA Akkaya, Zehra, et al. “How Competent Is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience”. Ankara Üniversitesi Tıp Fakültesi Mecmuası, vol. 71, no. 3, Dec. 2018, pp. 187-93, doi:10.4274/atfm.58066.
Vancouver 1.Zehra Akkaya, Ayşegül Gürsoy Çoruh, Elif Peker, Kayhan Çetin Atasoy, Derya Gökmen, Cemil Yağcı. How Competent is Computed Tomography in Characterization and Grading of Renal Malignancies: Our Experience. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2018 Dec. 1;71(3):187-93. doi:10.4274/atfm.58066