nach oben

Endocrine

Erschienen in:

15.11.2023 | Original Article

Contrast CT radiomic features add value to prediction of prognosis in adrenal cortical carcinoma

verfasst von: Jiacheng Liu, Wenhao Lin, Ling Yan, Jialing Xie, Jun Dai, Danfeng Xu, Juping Zhao

Erschienen in: Endocrine | Ausgabe 3/2024

Einloggen, um Zugang zu erhalten

Abstract

Objective

Adrenocortical carcinoma (ACC) is a rare and aggressive malignancy with poor prognosis due to high postoperative recurrence rates. The aim of this study is to develop a contrast CT radiomic feature-based prognosis prediction model for ACC and evaluate its performance by comparison with ENSAT staging system and S-GRAS score.

Methods

Included in this study were 39 ACC patients, from which we extracted 1411 radiomic features. Using cross-validated least absolute shrinkage and selection operator regression (cv-LASSO regression), we generated a radiomic index. Additionally, we further validated the radiomic index using both univariate and multivariate Cox regression analyses. We constructed a radiomic nomogram that incorporated the radiomic signature and compared it with ENSAT stage and S-GRAS score in terms of calibration, discrimination and clinical usefulnes.

Results

In this study, the average progression free survival (PFS) of 39 patients was 20.4 (IQR 9.1–60.1) months and the average overall survival (OS) was 57.8 (IQR 32.4–NA). The generated radiomic features were significantly associated with PFS, OS, independent of clinical-pathologic risk factors (HR 0.16, 95%CI 0.02–0.99, p = 0.05; HR 0.20, 95%CI 0.04–1.07, p = 0.06, respectively). The radiomic index, ENSAT stage, resection status, and Ki67% index incorporated nomogram exhibited better performance for both PFS and OS prediction as compared with the S-GRAS and ENSAT nomogram (C-index: 0.75 vs. C-index: 0.68, p = 0.030 and 0.67, p = 0.025; C-index: 0.78 vs. C-index: 0.72, p = 0.003 and 0.73, p = 0.006). Calibration curve analysis showed that the radiomics-based model performs best in predicting the two-year PFS and the three-year OS. Decision curve analysis demonstrated that the radiomic index nomogram outperformed the S-GRAS and ENSAT nomogram in predicting the two-year PFS and the three-year OS.

Conclusion

The contrast CT radiomic-based nomogram performed better than S-GRAS or ENSAT in predicting PFS and OS in ACC patients.

Nur mit Berechtigung zugänglich

T. Else, A.C. Kim, A. Sabolch et al. Adrenocortical carcinoma. Endocr. Rev. 35, 282–326 (2014). https://doi.org/10.1210/er.2013-1029CrossRefPubMed

J. Pura, M. Dinan, S. Reed et al. Treatment patterns and outcomes for patients with adrenocortical carcinoma associated with hospital case volume in the United States. Ann. Surg. Oncol. 21, 3509–3514 (2014). https://doi.org/10.1245/s10434-014-3931-zCrossRefPubMedPubMedCentral

T.M. Kerkhofs, R.H. Verhoeven, H.J. Bonjer et al. Surgery for adrenocortical carcinoma in The Netherlands: analysis of the national cancer registry data. Eur. J. Endocrinol. 169, 83–89 (2013). https://doi.org/10.1530/EJE-13-0142CrossRefPubMed

M. Terzolo, A.E. Baudin, A. Ardito et al. Mitotane levels predict the outcome of patients with adrenocortical carcinoma treated adjuvantly following radical resection. Eur. J. Endocrinol. 169, 263–270 (2013). https://doi.org/10.1530/EJE-13-0242CrossRefPubMed

M. Fassnacht, S. Johanssen, M. Quinkler et al. Limited prognostic value of the 2004 international union against cancer staging classification for adrenocortical carcinoma: proposal for a revised TNM classification. Cancer 115, 243–250 (2009). https://doi.org/10.1002/cncr.24030CrossRefPubMed

T. Else, A.R. Williams, A. Sabolch et al. Adjuvant therapies and patient and tumor characteristics associated with survival of adult patients with adrenocortical carcinoma. J. Clin. Endocrinol. Metab. 99, 455–461 (2014). https://doi.org/10.1210/jc.2013-2856CrossRefPubMed

Y.S. Elhassan, B. Altieri, S. Berhane et al. S-GRAS score for prognostic classification of adrenocortical carcinoma: an international, multicenter ENSAT study. Eur. J. Endocrinol. 186, 25–36 (2022). https://doi.org/10.1530/EJE-21-0510CrossRef

F. Beuschlein, J. Weigel, W. Saeger et al. Major prognostic role of Ki67 in localized adrenocortical carcinoma after complete resection. J. Clin. Endocrinol. Metab. 100, 841–849 (2015). https://doi.org/10.1210/jc.2014-3182CrossRefPubMed

A. Berruti, M. Fassnacht, H. Haak et al. Prognostic role of overt hypercortisolism in completely operated patients with adrenocortical cancer. Eur. Urol. 65, 832–838 (2014). https://doi.org/10.1016/j.eururo.2013.11.006CrossRefPubMed

10.

M. Fassnacht, O.M. Dekkers, T. Else et al. European society of endocrinology clinical practice guidelines on the management of adrenocortical carcinoma in adults, in collaboration with the European network for the study of adrenal tumors. Eur. J. Endocrinol. 179, G1–G46 (2018). https://doi.org/10.1530/EJE-18-0608CrossRefPubMed

11.

W. Lin, J. Dai, J. Xie et al. S-GRAS score performs better than a model from SEER for patients with adrenocortical carcinoma. Endocr. Connect 11, e220114 (2022). https://doi.org/10.1530/EC-22-0114CrossRefPubMedPubMedCentral

12.

Y. Huang, Z. Liu, L. He et al. Radiomics signature: a potential biomarker for the prediction of disease-free survival in early-stage (I or II) Non—Small Cell Lung Cancer. Radiology 281, 947–957 (2016). https://doi.org/10.1148/radiol.2016152234CrossRefPubMed

13.

Y. Yu, Y. Tan, C. Xie et al. Development and validation of a preoperative magnetic resonance imaging radiomics-based signature to predict axillary lymph node metastasis and disease-free survival in patients with early-stage breast cancer. JAMA Netw. Open 3, e2028608 (2020). https://doi.org/10.1001/jamanetworkopen.2020.28086CrossRef

14.

L. Jiang, C. You, Y. Xiao et al. Radiogenomic analysis reveals tumor heterogeneity of triple-negative breast cancer. Cell Rep. Med. 3, 100694 (2022). https://doi.org/10.1016/j.xcrm.2022.100694CrossRefPubMedPubMedCentral

15.

R. Libé, I. Borget, C.L. Ronchi et al. Prognostic factors in stage III–IV adrenocortical carcinomas (ACC): an European Network for the Study of Adrenal Tumor (ENSAT) study. Ann. Oncol. 26, 2119–2125 (2015). https://doi.org/10.1093/annonc/mdv329CrossRefPubMed

16.

K.Y. ilimoria, W.T. Shen, D. Elaraj et al. Adrenocortical carcinoma in the United States. Cancer 113, 3130–3136 (2008). https://doi.org/10.1002/cncr.23886CrossRef

17.

Y. Kim, G.A. Margonis, J.D. Prescott et al. Nomograms to predict recurrence-free and overall survival after curative resection of adrenocortical carcinoma. JAMA Surg. 151, 365–373 (2016). https://doi.org/10.1001/jamasurg.2015.4516CrossRefPubMedPubMedCentral

18.

R. Libé, A. Pais, F. Violon et al. Positive correlation between 18F-FDG uptake and tumor-proliferating antigen Ki-67 expression in adrenocortical carcinomas. Clin. Nucl. Med 48, 381–386 (2023). https://doi.org/10.1097/RLU.0000000000004593CrossRefPubMed

19.

J.E. Park, H.S. Kim, S.Y. Park et al. Prediction of core signaling pathway by using diffusion- and perfusion-based MRI radiomics and next-generation sequencing in isocitrate dehydrogenase wild-type glioblastoma. Radiology 294, 388–397 (2020). https://doi.org/10.1148/radiol.2019190913CrossRefPubMed

20.

G.W. Ji, F.P. Zhu, Q. Xu et al. Radiomic features at contrast-enhanced CT predict recurrence in early-stage hepatocellular carcinoma: a multi-institutional study. Radiology 294, 568–579 (2020). https://doi.org/10.1148/radiol.2020191470CrossRefPubMed

21.

H. Tibermacine, P. Rouanet, M. Sbarra et al. Radiomics modelling in rectal cancer to predict disease-free survival: evaluation of different approaches. Br. J. Surg. 108, 1243–1250 (2021). https://doi.org/10.1093/bjs/znab191CrossRefPubMed

22.

G. Yang, P. Nie, L. Yan et al. The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study. EJNMMI 49, 2949–2959 (2022). https://doi.org/10.1007/s00259-022-05773-1CrossRef

23.

S. Ghezzo, P. Mapelli, C. Bezzi et al. Role of [68Ga] Ga-PSMA-11 PET radiomics to predict post-surgical ISUP grade in primary prostate cancer. EJNMMI 50, 2548–2560 (2023). https://doi.org/10.1007/s00259-023-06187-3CrossRef

24.

J. Lippert, B. Altieri, B. Morrison et al. Prognostic role of targeted methylation analysis in paraffin-embedded samples of adrenocortical carcinoma. J. Clin. Endocrinol. Metab. 107, 2892–2899 (2022). https://doi.org/10.1210/clinem/dgac470CrossRefPubMedPubMedCentral

Titel: Contrast CT radiomic features add value to prediction of prognosis in adrenal cortical carcinoma
verfasst von: Jiacheng Liu
Wenhao Lin
Ling Yan
Jialing Xie
Jun Dai
Danfeng Xu
Juping Zhao
Publikationsdatum: 15.11.2023
Verlag: Springer US
Erschienen in: Endocrine / Ausgabe 3/2024
Print ISSN: 1355-008X
Elektronische ISSN: 1559-0100
DOI: https://doi.org/10.1007/s12020-023-03568-4

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Live-Webinar "Urologie und Sexualmedizin in der Praxis"

Springer Medizin

Contrast CT radiomic features add value to prediction of prognosis in adrenal cortical carcinoma

Abstract

Objective

Methods

Results

Conclusion

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Erhebliches Risiko für Kehlkopfkrebs bei mäßiger Dysplasie

Nach Herzinfarkt mit Typ-1-Diabetes schlechtere Karten als mit Typ 2?

15% bedauern gewählte Blasenkrebs-Therapie

Costims – das nächste heiße Ding in der Krebstherapie?

Update Innere Medizin

Live-Webinar "Urologie und Sexualmedizin in der Praxis"

Springer Medizin

Abstract

Objective

Methods

Results

Conclusion

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 3/2024

Alteration of the immunophenotype and cytokine profiles in patients affected by neuroendocrine neoplasms

Prediction of fragility fractures in men with prostate cancer under androgen deprivation therapy: the importance of a multidisciplinary approach using a mini-invasive diagnostic tool

Renal Dysfunction in Primary Hyperparathyroidism is associated with nephrolithiasis, elevated serum calcium-phosphate product and parathormone levels

Identification of influence factors in overweight population through an interpretable risk model based on machine learning: a large retrospective cohort

Mortality rate and causes of death in papillary thyroid microcarcinoma

Incorporation of CEUS and SWE parameters into a multivariate logistic regression model for the differential diagnosis of benign and malignant TI-RADS 4 thyroid nodules

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Erhebliches Risiko für Kehlkopfkrebs bei mäßiger Dysplasie

Nach Herzinfarkt mit Typ-1-Diabetes schlechtere Karten als mit Typ 2?

15% bedauern gewählte Blasenkrebs-Therapie

Costims – das nächste heiße Ding in der Krebstherapie?

Update Innere Medizin