Radiomic Features of 18F-FDG PET in Hodgkin Lymphoma Are Predictive of Outcomes. (22nd November 2021)
- Record Type:
- Journal Article
- Title:
- Radiomic Features of 18F-FDG PET in Hodgkin Lymphoma Are Predictive of Outcomes. (22nd November 2021)
- Main Title:
- Radiomic Features of 18F-FDG PET in Hodgkin Lymphoma Are Predictive of Outcomes
- Authors:
- Zhou, Yeye
Zhu, Yuchun
Chen, Zhiqiang
Li, Jihui
Sang, Shibiao
Deng, Shengming - Other Names:
- Vali Reza Academic Editor.
- Abstract:
- Abstract : Purpose . In the present study, we aimed to investigate whether the radiomic features of baseline 18 F-FDG PET can predict the prognosis of Hodgkin lymphoma (HL). Methods . A total 65 HL patients (training cohort: n = 49; validation cohort: n = 16) were retrospectively enrolled in the present study. A total of 47 radiomic features were extracted from pretreatment PET images. The least absolute shrinkage and selection operator (LASSO) regression was used to select the most useful prognostic features in the training cohort. The distance between the two lesions that were the furthest apart ( D max ) was recorded. The receiver operating characteristic (ROC) curve, Kaplan–Meier method, and Cox proportional hazards model were used to assess the prognostic factors. Results . Long-zone high gray-level emphasis extracted from a gray-level zone-length matrix (LZHGEGLZLM ) (HR = 9.007; p = 0.044 ) and Dmax (HR = 3.641; p = 0.048 ) were independently correlated with 2-year progression-free survival (PFS). A prognostic stratification model was established based on both risk predictors, which could distinguish three risk categories for PFS (p = 0.0002 ). The 2-year PFS was 100.0%, 64.7%, and 33.3%, respectively. Conclusions . LZHGEGLZLM and Dmax were independent prognostic factors for survival outcomes. Besides, we proposed a prognostic stratification model that could further improve the risk stratification of HL patients.
- Is Part Of:
- Contrast media & molecular imaging. Volume 2021(2021)
- Journal:
- Contrast media & molecular imaging
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-11-22
- Subjects:
- Diagnostic imaging -- Periodicals
Magnetic resonance imaging -- Periodicals
Contrast media (Diagnostic imaging) -- Periodicals
Contrast Media -- Periodicals
Diagnostic Imaging -- Periodicals
Substances de contraste -- Périodiques
Diagnostics moléculaires -- Périodiques
Imagerie médicale
Substance de contraste
Périodique électronique (Descripteur de forme)
Ressource Internet (Descripteur de forme)
616.0754 - Journal URLs:
- https://onlinelibrary.wiley.com/journal/15554317 ↗
https://www.hindawi.com/journals/cmmi/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1155/2021/6347404 ↗
- Languages:
- English
- ISSNs:
- 1555-4309
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3426.351450
British Library HMNTS - ELD Digital store - Ingest File:
- 20155.xml