The Prognostic Value of PI-RADS Score in CyberKnife Ultra-Hypofractionated Radiotherapy for Localized Prostate Cancer.

Pi-Rads metastasis-free survival prognosis prostate cancer radiotherapy

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
23 Mar 2022
Historique:
received: 19 02 2022
revised: 16 03 2022
accepted: 17 03 2022
entrez: 12 4 2022
pubmed: 13 4 2022
medline: 13 4 2022
Statut: epublish

Résumé

Prostate Imaging-Reporting and Data System (PI-RADS) has been widely implemented as a diagnostic tool for significant prostate cancer (PCa); less is known about its prognostic value, especially in the setting of primary radiotherapy. We aimed to analyze the association between PI-RADS v. 2.1 classification and risk of metastases, based on a group of 152 patients treated with ultra-hypofractionated stereotactic CyberKnife radiotherapy for localized low or intermediate risk-group prostate cancer. We found that all distant failures (n = 5) occurred in patients diagnosed with a PI-RADS score of 5, and axial measurements of the target lesion were associated with the risk of developing metastases (p < 0.001). The best risk stratification model (based on a combination of greatest dimension, the product of multiplication of PI-RADS target lesion axial measurements, and age) achieved a c-index of 0.903 (bootstrap-validated bias-corrected 95% CI: 0.848−0.901). This creates a hypothesis that PI-RADS 5 and the size of the target lesion are important prognostic factors in early-stage PCa patients and should be considered as an adverse prognostic measure for patients undergoing early treatment such as radiation or focal therapy.

Identifiants

pubmed: 35406385
pii: cancers14071613
doi: 10.3390/cancers14071613
pmc: PMC8997034
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Marcin Miszczyk (M)

IIIrd Radiotherapy and Chemotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Justyna Rembak-Szynkiewicz (J)

Radiology Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Łukasz Magrowski (Ł)

IIIrd Radiotherapy and Chemotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Konrad Stawiski (K)

Department of Biostatistics and Translational Medicine, Medical University of Łódź, 90-419 Łódź, Poland.

Agnieszka Namysł-Kaletka (A)

Radiotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Aleksandra Napieralska (A)

Radiotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Małgorzata Kraszkiewicz (M)

Radiotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Grzegorz Woźniak (G)

Radiotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Małgorzata Stąpór-Fudzińska (M)

Radiotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Grzegorz Głowacki (G)

Radiotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Benjamin Pradere (B)

Radiotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Ekaterina Laukhtina (E)

Department of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Institute for Urology and Reproductive Health, Sechenov University, 119435 Moscow, Russia.

Paweł Rajwa (P)

Department of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Department of Urology, Medical University of Silesia, 41-800 Zabrze, Poland.

Wojciech Majewski (W)

Radiotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland.

Classifications MeSH