지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한자기공명의과학회 Investigative Magnetic Resonance Imaging Investigative Magnetic Resonance Imaging 제19권 제2호
- 발행연도
- 2015.1
- 수록면
- 88 - 98 (11page)
이용수
초록· 키워드
오류제보하기
Purpose: To compare the interobserver and intraobserver reliability of mean apparentdiffusion coefficient (ADC) values using contrast-enhanced (CE) T1 weightedimage (WI) and T2WI as structural images between manual and semiautomaticsegmentation methods.
Materials and Methods: Between January 2011 and May 2013, 28 patients whounderwent brain MR with diffusion weighted image (DWI) and were pathologicallyconfirmed as having glioblastoma participated in our study. The ADC values weremeasured twice in manual and semiautomatic segmentation methods using CE-T1WIand T2WI as structural images to obtain interobserver and intraobserver reliability.
Moreover, intraobserver reliabilities of the different segmentation methods wereassessed after subgrouping of the patients based on the MR findings.
Results: Interobserver and intraobserver reliabilities were high in both manualand semiautomatic segmentation methods on CE-T1WI-based evaluation, whileinterobserver reliability on T2WI-based evaluation was not high enough to be used ina clinical context. The intraobserver reliability was particularly lower with the T2WIbasedsemiautomatic segmentation method in the subgroups with involved lobes ≤2, with partially demarcated tumor borders, poorly demarcated inner margins of thenecrotic portion, and with perilesional edema.
Conclusion: Both the manual and semiautomatic segmentation methods on CET1WI-based evaluation were clinically acceptable in the measurement of mean ADCvalues with high interobserver and intraobserver reliabilities.
목차
등록된 정보가 없습니다.
참고문헌 (22)
참고문헌 신청
Bjornerud A / 2003 / The ICE software package: direct coregistration of anatomical and functional datasets using DICOM image geometry information / Proc Hum Brain Mapping 19
Clark MC / 1998 / Automatic tumor segmentation using knowledge-based techniques / IEEE Trans Med Imaging 17 : 187 ~ 201
Corso JJ / 2008 / Efficient multilevel brain tumor segmentation with integrated bayesian model classification / IEEE Trans Med Imaging 27 : 629 ~ 640
Emblem KE / 2009 / Automatic glioma characterization from dynamic susceptibility contrast imaging: brain tumor segmentation using knowledge-based fuzzy clustering / J Magn R
Fletcher-Heath LM / 201 / Automatic segmentation of non-enhancing brain tumors in magnetic resonance images / Artif Intell Med 21 : 43 ~ 63
Clark MC / 1998 / Automatic tumor segmentation using knowledge-based techniques / IEEE Trans Med Imaging 17 : 187 ~ 201
Corso JJ / 2008 / Efficient multilevel brain tumor segmentation with integrated bayesian model classification / IEEE Trans Med Imaging 27 : 629 ~ 640
Emblem KE / 2009 / Automatic glioma characterization from dynamic susceptibility contrast imaging: brain tumor segmentation using knowledge-based fuzzy clustering / J Magn R
Fletcher-Heath LM / 201 / Automatic segmentation of non-enhancing brain tumors in magnetic resonance images / Artif Intell Med 21 : 43 ~ 63
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Benign versus Malignant Soft-Tissue Tumors: Differentiation with 3T Magnetic Resonance Image Textural Analysis Including Diffusion-Weighted Imaging
Investigative Magnetic Resonance Imaging
2021 .06
-
Differentiation between Glioblastoma and Primary Central Nervous System Lymphoma Using Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Comparison Study of the Manual versus Semiautomatic Segmentation Method
Investigative Magnetic Resonance Imaging
2017 .01
-
Assessment of Posterior Globe Flattening: Two-Dimensional versus Three-Dimensional T-Weighted Imaging
Investigative Magnetic Resonance Imaging
2015 .01
-
Evaluation of Semi-automatic Segmentation Methods for Persistent Ground Glass Nodules on Thin-Section CT Scans
Healthcare Informatics Research
2016 .01
-
Reliability of cone-beam computed tomography for temporomandibular joint analysis
대한치과교정학회지
2019 .03
-
마커 제어 워터셰드와 타원 적합기법을 결합한 다중 교모세포종 분할
의공학회지
2021 .08
-
Development and Evaluation of Deep Learning-Based Automatic Segmentation Model for Skull Zero TE MRI in Children
Investigative Magnetic Resonance Imaging
2023 .03
-
Application of Volumetric Analysis to Glioblastomas: a Correlation Study on the Status of the Isocitrate Dehydrogenase Mutation
Investigative Magnetic Resonance Imaging
2015 .01
-
Temporal Segmentation for Capturing Snapshots of Patient Histories in Korean Clinical Narrative
Healthcare Informatics Research
2018 .01
-
Benefit of Using Early Contrast- Enhanced 2D T2-Weighted Fluid-Attenuated Inversion Recovery Image to Detect Leptomeningeal Metastasis in Lung-Cancer Staging
Investigative Magnetic Resonance Imaging
2022 .03
-
Inversion of Spread-Direction and Alternate Neighborhood System for Cellular Automata-Based Image Segmentation Framework
Journal of International Society for Simulation Surgery
2017 .01
-
Optimization of Multi-Atlas Segmentation with Joint Label Fusion Algorithm for Automatic Segmentation in Prostate MR Imaging
Investigative Magnetic Resonance Imaging
2020 .01
-
Web-Based Spine Segmentation Using Deep Learning in Computed Tomography Images
Healthcare Informatics Research
2020 .01
-
Accuracy and Reliability of Preoperative On-screen Templating Using Digital Radiographs for Total Hip Arthroplasty
Hip and Pelvis
2016 .01
-
Medical measurement and its reliability
한국실험동물학회 학술발표대회 논문집
2018 .07
-
Inter-observer and intra-observer reliability between manual segmentation and semi-automated segmentation for carotid vessel wall volume measurements on three-dimensional ultrasonography
ULTRASONOGRAPHY
2023 .04
-
b0 Dependent Neuronal Activation in the Diffusion-Based Functional MRI
의학물리
2019 .01
-
Wound infiltration or transversus abdominis plane block after laparoscopic radical prostatectomy: a randomized clinical trial
Anesthesia and Pain Medicine
2023 .04
-
Intraobserver and interobserver reproducibility in linear measurements on axial images obtained by cone-beam computed tomography
Imaging science in dentistry
2017 .01
-
Differentiation between Glioblastoma and Solitary Metastasis: Morphologic Assessment by Conventional Brain MR Imaging and Diffusion-Weighted Imaging
Investigative Magnetic Resonance Imaging
2021 .03
이 논문의 저자 정보
최근 본 자료
댓글(0)
0