Computer-aided segmentation on MRI for prostate radiotherapy, Part I: Quantifying human interobserver variability of the prostate and organs at risk and its impact on radiation dosimetry.


Journal

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192

Informations de publication

Date de publication:
04 2022
Historique:
received: 01 09 2021
revised: 13 11 2021
accepted: 08 12 2021
pubmed: 19 12 2021
medline: 20 4 2022
entrez: 18 12 2021
Statut: ppublish

Résumé

Quantifying the interobserver variability (IoV) of prostate and periprostatic anatomy delineation on prostate MRI is necessary to inform its use for treatment planning, treatment delivery, and treatment quality assessment. Twenty five prostate cancer patients underwent MRI-based low-dose-rate prostate brachytherapy (LDRPBT). The patients were scanned with a 3D T2-weighted sequence for treatment planning and a 3D T2/T1-weighted sequence for quality assessment. Seven observers involved with the LDRPBT workflow delineated the prostate, external urinary sphincter (EUS), seminal vesicles, rectum, and bladder on all 50 MRIs. IoV was assessed by measuring contour similarity metrics, differences in organ volumes, and differences in dosimetry parameters between unique observer pairs. Measurements from a group of 3 radiation oncologists (G1) were compared against those from a group consisting of the other 4 clinical observers (G2). IoV of the prostate was lower for G1 than G2 (Matthew's correlation coefficient [MCC], G1 vs. G2: planning-0.906 vs. 0.870, p < 0.001; postimplant-0.899 vs. 0.861, p < 0.001). IoV of the EUS was highest of all the organs for both groups, but was lower for G1 (MCC, G1 vs. G2: planning-0.659 vs. 0.402, p < 0.001; postimplant-0.684 vs. 0.398, p < 0.001). Large differences in prostate dosimetry parameters were observed (G1 maximum absolute prostate ΔD90: planning-76.223 Gy, postimplant-36.545 Gy; G1 maximum absolute prostate ΔV100: planning-13.927%, postimplant-8.860%). While MRI is optimal in the management of prostate cancer with radiation therapy, significant interobserver variability of the prostate and external urinary sphincter still exist.

Sections du résumé

BACKGROUND AND PURPOSE
Quantifying the interobserver variability (IoV) of prostate and periprostatic anatomy delineation on prostate MRI is necessary to inform its use for treatment planning, treatment delivery, and treatment quality assessment.
MATERIALS AND METHODS
Twenty five prostate cancer patients underwent MRI-based low-dose-rate prostate brachytherapy (LDRPBT). The patients were scanned with a 3D T2-weighted sequence for treatment planning and a 3D T2/T1-weighted sequence for quality assessment. Seven observers involved with the LDRPBT workflow delineated the prostate, external urinary sphincter (EUS), seminal vesicles, rectum, and bladder on all 50 MRIs. IoV was assessed by measuring contour similarity metrics, differences in organ volumes, and differences in dosimetry parameters between unique observer pairs. Measurements from a group of 3 radiation oncologists (G1) were compared against those from a group consisting of the other 4 clinical observers (G2).
RESULTS
IoV of the prostate was lower for G1 than G2 (Matthew's correlation coefficient [MCC], G1 vs. G2: planning-0.906 vs. 0.870, p < 0.001; postimplant-0.899 vs. 0.861, p < 0.001). IoV of the EUS was highest of all the organs for both groups, but was lower for G1 (MCC, G1 vs. G2: planning-0.659 vs. 0.402, p < 0.001; postimplant-0.684 vs. 0.398, p < 0.001). Large differences in prostate dosimetry parameters were observed (G1 maximum absolute prostate ΔD90: planning-76.223 Gy, postimplant-36.545 Gy; G1 maximum absolute prostate ΔV100: planning-13.927%, postimplant-8.860%).
CONCLUSIONS
While MRI is optimal in the management of prostate cancer with radiation therapy, significant interobserver variability of the prostate and external urinary sphincter still exist.

Identifiants

pubmed: 34921895
pii: S0167-8140(21)09060-5
doi: 10.1016/j.radonc.2021.12.011
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

124-131

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of interest S.J.F. is a co-founder of C4 Imaging, has ownership interests in the company, and has U.S. and international patents licensed to C4 Imaging.

Auteurs

Jeremiah W Sanders (JW)

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, USA. Electronic address: jsanders1@mdanderson.org.

Henry Mok (H)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.

Alexander N Hanania (AN)

Department of Radiation Oncology, Baylor College of Medicine, Houston, USA.

Aradhana M Venkatesan (AM)

Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, USA.

Chad Tang (C)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.

Teresa L Bruno (TL)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.

Howard D Thames (HD)

Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, USA. Electronic address: hthames@gmail.com.

Rajat J Kudchadker (RJ)

Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA.

Steven J Frank (SJ)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.

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