• 제목/요약/키워드: Tumor registration

검색결과 38건 처리시간 0.023초

Implementation Plans for the Korean Certified Tumor Registrar Qualification System

  • Boo, Yoo-Kyung;Lim, Hyun-Sook;Won, Young-Joo
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권21호
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    • pp.9411-9416
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    • 2014
  • Background: Cancer registration data is used to understand the nation's cancer burden, and to provide significant baseline data for cancer control efforts, as well as, research on cancer incidence, mortality, survival, and prevalence. A system that approves, assesses, and manages the qualification of specialists, responsible for performing cancer registration, has not been developed in Korea. This study presents ways to implement a certification system designed for the qualification of tumor registrars in Korea. Materials and Methods: Requirements for implementing a certified tumor registrar qualification system were determined by reviewing the system for establishing qualifications in Korea and the American qualification system via the National Cancer Registrars Association (NCRA). Moreover, a survey was conducted on Korean medical records administrators, who had taken the U.S. Certified Tumor Registrar (CTR) examination, in order to review their opinions regarding these requirements. Results: This study verified the feasibility of a qualification examination based on the opinions of CTR specialists by determining the following: items, and the associated ratings, of the qualifications necessary to register individuals as certified tumor registrars in a private qualification system; status of human resources required for the examination or training processes; plans regarding the organization needed for management, and operation of qualifications, examination standards, subject areas, examination methods, examination qualifications, or education and training programs. Conclusions: The implementation of a certified tumor registrar qualification system will lead to enhanced job competency for specialists and a qualitative improvement of cancer registration data. It will also reliably foster human resources that will lay the groundwork needed to establish scientific and reasonable national cancer management policies.

Multimodality and Non-rigid Registration of MRI' Brain Image

  • Li, Binglu;Kim, YoungSeop
    • 반도체디스플레이기술학회지
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    • 제18권1호
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    • pp.102-104
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    • 2019
  • Registering different kinds of clinical images widely used in diagnostic and surgery planning. However, cause of tumor growth or effected by gravity, human tissue has plenty of non-rigid deformation with clinically. Non-rigid registration allows the mapping of straight lines to curves. Therefore, such local deformation makes registration more complicated. In this work, we mainly introduce intra-subject, inter-modality registration. This paper mainly studies the nonlinear registration method of 2D medical image registration. The general medical image registration algorithm requires manual intervention, and cost long registration time. In our work to reduce the registration time in rough registration step, the barycenter and the direction of main axis of the image is calculated, which reduces the calculation amount compared with the method of using mutual information.

Prediction of Local Tumor Progression after Radiofrequency Ablation (RFA) of Hepatocellular Carcinoma by Assessment of Ablative Margin Using Pre-RFA MRI and Post-RFA CT Registration

  • Yoon, Jeong Hee;Lee, Jeong Min;Klotz, Ernst;Woo, Hyunsik;Yu, Mi Hye;Joo, Ijin;Lee, Eun Sun;Han, Joon Koo
    • Korean Journal of Radiology
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    • 제19권6호
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    • pp.1053-1065
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    • 2018
  • Objective: To evaluate the clinical impact of using registration software for ablative margin assessment on pre-radiofrequency ablation (RFA) magnetic resonance imaging (MRI) and post-RFA computed tomography (CT) compared with the conventional side-by-side MR-CT visual comparison. Materials and Methods: In this Institutional Review Board-approved prospective study, 68 patients with 88 hepatocellulcar carcinomas (HCCs) who had undergone pre-RFA MRI were enrolled. Informed consent was obtained from all patients. Pre-RFA MRI and post-RFA CT images were analyzed to evaluate the presence of a sufficient safety margin (${\geq}3mm$) in two separate sessions using either side-by-side visual comparison or non-rigid registration software. Patients with an insufficient ablative margin on either one or both methods underwent additional treatment depending on the technical feasibility and patient's condition. Then, ablative margins were re-assessed using both methods. Local tumor progression (LTP) rates were compared between the sufficient and insufficient margin groups in each method. Results: The two methods showed 14.8% (13/88) discordance in estimating sufficient ablative margins. On registration software-assisted inspection, patients with insufficient ablative margins showed a significantly higher 5-year LTP rate than those with sufficient ablative margins (66.7% vs. 27.0%, p = 0.004). However, classification by visual inspection alone did not reveal a significant difference in 5-year LTP between the two groups (28.6% vs. 30.5%, p = 0.79). Conclusion: Registration software provided better ablative margin assessment than did visual inspection in patients with HCCs who had undergone pre-RFA MRI and post-RFA CT for prediction of LTP after RFA and may provide more precise risk stratification of those who are treated with RFA.

치료계획용 4D MDCT와 치료 시 획득한 4D CBCT간 영상정합 및 종양 매칭을 이용한 방사선 치료 시 종양 움직임 추적 (Tumor Motion Tracking during Radiation Treatment using Image Registration and Tumor Matching between Planning 4D MDCT and Treatment 4D CBCT)

  • 정주립;홍헬렌
    • 정보과학회 논문지
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    • 제43권3호
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    • pp.353-361
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    • 2016
  • 폐암 환자의 영상유도 방사선 치료의 경우 환자의 호흡 및 심장박동에 따라 종양의 움직임이 변화할 수 있으므로 치료 시 종양의 움직임을 추적하는 것이 필요하다. 본 논문에서는 치료계획용 4D MDCT 영상과 치료 시 획득한 4D CBCT 영상의 3차원 영상 정보를 기반으로 종양 움직임을 추적하는 방법을 제안한다. 첫째, 효율적으로 치료 시 종양의 움직임을 추적하기 위해 치료계획용 4D MDCT 영상에서 획득한 종양 움직임 모델을 통해 종양의 전역적 움직임을 예측한다. 둘째, 종양 움직임 추적의 정확성을 높이기 위해 4D CBCT 영상에서 종양 주변의 구조적 정보를 이용해 세부적 움직임을 보정하여 종양의 지역적 움직임을 예측한다. 제안방법의 성능 평가를 위해 디지털 팬텀을 이용해 실험한 결과, 지역적 움직임을 고려했을 때 전역적 움직임만 보정한 경우보다 종양 위치화 오류가 45% 감소하였다.

Development of a Brain Phantom for Multimodal Image Registration in Radiotherapy Treatment Planning

  • H. S. Jin;T. S. Suh;R. H. Juh;J. Y. Song;C. B. Y. Choe;Lee, H .G.;C. Kwark
    • 한국의학물리학회:학술대회논문집
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    • 한국의학물리학회 2002년도 Proceedings
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    • pp.450-453
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    • 2002
  • In radiotherapy treatment planning, it is critical to deliver the radiation dose to tumor and protect surrounding normal tissue. Recent developments in functional imaging and radiotherapy treatment technology have been raising chances to control tumor saving normal tissues. A brain phantom which could be used for image registration technique of CT-MR and CT-SPECT images using surface matching was developed. The brain phantom was specially designed to obtain imaging dataset of CT, MR, and SPECT. The phantom had an external frame with 4 N-shaped pipes filled with acryl rods, Pb rods for CT, MR, and SPECT imaging, respectively. 8 acrylic pipes were inserted into the empty space of the brain phantom to be imaged for geometric evaluation of the matching. For an optimization algorithm of image registration, we used Downhill simplex algorithm suggested as a fast surface matching algorithm. Accuracy of image fusion was assessed by the comparison between the center points of the section of N-shaped bars in the external frame and the inserted pipes of the phantom and minimized cost functions of the optimization algorithm. Technique with partially transparent, mixed images using color on gray was used for visual assessment of the image registration process. The errors of image registration of CT-MR and CT-SPECT were within 2mm and 4mm, respectively. Since these errors were considered within a reasonable margin from the phantom study, the phantom is expected to be used for conventional image registration between multimodal image datasets..

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종양 모델 연구를 위한 소동물 $[^{18}F]$FDG PET 영상화 (Small Animal Small Animal $[^{18}F]$FDG PET Imaging for Tumor Model Study)

  • 우상근;김경민;천기정
    • Nuclear Medicine and Molecular Imaging
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    • 제42권1호
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    • pp.1-7
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    • 2008
  • PET allows non-invasive, quantitative and repetitive imaging of biological function in living animals. Small animal PET imaging with $[^{18}F]$FDG has been successfully applied to investigation of metabolism, receptor-ligand interactions, gene expression, adoptive cell therapy and somatic gene therapy. Experimental condition of animal handling impacts on the biodistribution of $[^{18}F]$FDG in small animal study. The small animal PET and CT images were registered using the hardware fiducial markers and small animal contour point. Tumor imaging in small animal with small animal $[^{18}F]$FDG PET should be considered fasting, warming, and isoflurane anesthesia level. Registered imaging with small animal PET and CT image could be useful for the detection of tumor. Small animal experimental condition of animal handling and registration method will be of most importance for small lesion detection of metastases tumor model.

Temozolomide Salvage Chemotherapy for Recurrent Anaplastic Oligodendroglioma and Oligo-Astrocytoma

  • Gwak, Ho-Shin;Yee, Gi Taek;Park, Chul-Kee;Kim, Jin Wook;Hong, Yong-Kil;Kang, Seok-Gu;Kim, Jeong Hoon;Seol, Ho Jun;Jung, Tae-Young;Chang, Jong Hee;Yoo, Heon;Hwang, Jeong-Hyun;Kim, Se-Hyuk;Park, Bong Jin;Hwang, Sun-Chul;Kim, Min Su;Kim, Seon-Hwan;Kim, Eun-Young;Kim, Ealmaan;Kim, Hae Yu;Ko, Young-Cho;Yun, Hwan Jung;Youn, Ji Hye;Kim, Juyoung;Lee, Byeongil;Lee, Seung Hoon
    • Journal of Korean Neurosurgical Society
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    • 제54권6호
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    • pp.489-495
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    • 2013
  • Objective : To evaluate the efficacy of temozolomide (TMZ) chemotherapy for recurrent anaplastic oligodendroglioma (AO) and anaplastic oligoastrocytoma (AOA). Methods : A multi-center retrospective trial enrolled seventy-two patients with histologically proven AO/AOA who underwent TMZ chemotherapy for their recurrent tumors from 2006 to 2010. TMZ was administered orally (150 to 200 $mg/m^2/day$) for 5 days per 28 days until unacceptable toxicity occurred or tumor progression was observed. Results : TMZ chemotherapy cycles administered was median 5.3 (range, 1-41). The objective response rate was 24% including 8 cases (11%) of complete response and another 23 patients (32%) were remained as stable disease. Severe side effects (${\geq}$grade 3) occurred only in 9 patients (13%). Progression-free survival (PFS) of all patients was a median 8.0 months (95% confidence interval, 6.0-10.0). The time to recurrence of a year or after was a favorable prognostic factor for PFS (p<0.05). Overall survival (OS) was apparently differed by the patient's histology, as AOA patients survived a median OS of 18.0 months while AO patients did not reach median OS at median follow-up of 11.5 months (range 2.7-65 months). Good performance status of Eastern Cooperative Oncology Group 0 and 1 showed prolonged OS (p<0.01). Conclusion : For recurrent AO/AOA after surgery followed by radiation therapy, TMZ could be recommended as a salvage therapy at the estimated efficacy equal to procarbazine, lomustine, and vincristine (PCV) chemotherapy at first relapse. For patients previously treated with PCV, TMZ is a favorable therapeutic option as 2nd line salvage chemotherapy with an acceptable toxicity rate.

영상보정 및 다단계 정합을 통한 전립선 MR 영상과 병리 영상간 융합 (Prostate MR and Pathology Image Fusion through Image Correction and Multi-stage Registration)

  • 정주립;조현희;홍헬렌
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제15권9호
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    • pp.700-704
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    • 2009
  • 본 논문은 영상보정 및 다단계 정합을 통한 전립선의 MR 영상과 병리 영상 간의 융합방법을 제안한다. 제안 방법은 영상보정, 강체 정합, 비강체 정합, 영상융합의 네 단계로 이루어진다. 첫째, 영상보정 단계에서 T2 MR 강조 영상의 출혈 부위의 자기값을 T1 MR 강조 영상의 자기값으로 대체시키고, 2, 4장으로 분리된 병리 영상을 한장의 영상으로 만든 후 MR 영상과 동일한 해상도로 줄인다. 둘째, 전립선의 T2 MR 강조 영상과 병리 영상 간에 자기간의 상호정보를 최적화하는 강체변환을 구한다. 셋째, TPS 와핑을 이용하여 병리 영상의 전립선 부위가 T2 MR 강조 영상의 전립선 부위에 정합되는 비강체변환을 구한다. 넷째, MR 영상과 변환을 적용시킨 병리 영상을 융합한다. 실험 결과 영상보정 및 다단계 정합 후의 전립선의 T2 MR 강조 영상과 병리 영상의 간의 평균 거리 오차는 0.8815 mm였고, 두 영상의 융합을 통해 T2 MR 강조 영상에서 전립선 암의 위치를 정확하게 볼 수 있었다.

암 등록사업의 현황과 추진방향 (Cancer Registration in Korea: The Present and Furtherance)

  • 안윤옥
    • Journal of Preventive Medicine and Public Health
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    • 제40권4호
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    • pp.265-272
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    • 2007
  • It was not until 1975 that cancer registration was initiated in Korea; voluntary registration of cancer patients of training hospitals throughout the country began under the auspices of the Korean Cancer Society(KCS). However, an official cancer registration, the Korea Central Cancer Registry(KCCR), began on July 1st, 1980. Forty-five training and two non-training hospitals throughout the country initiated registration of patients in whom neoplasms had been found. Data related to case information specified are to be sent to the KCCR at the National Medical Center(it moved at National Cancer Center in 2000). The initial cancer registration of KCS was merged to the KCCR in 1980. Although the KCCR covers most all the large training hospitals in Korea, it cannot provide incidence data. It is, however, the only of its kind in the world, being neither hospital nor population based. The first population based cancer registry(PBCR) was launched in a small county, Kangwha(it has around 80,000 inhabitants), by Yonsei University Medical College in 1983. All data were collected by active methods, and incidence statistics for 1986-1992 appeared in Vol VII of the CI5. Another PBCR, Seoul Cancer Registry(SCR), started in 1991. It was supported by a civilian foundation, the Korean Foundation for Cancer Research. The basic idea of case registration of SCR was the incorporation of KCCR data to PBCR, e. g. dual sources of case registration, i.e., from the KCCR and also including cases diagnosed in small hospitals and other medical facilities. Assessing completeness and validity of case registration of SCR, the program and methodology used by the SCR was later extended to other large cities and areas in Korea, and the PBCR in each area was established. Cancer incidence statistics of Seoul for 1993-1997, Busan for 1996-1997, and Daegu for 1997-1998, as well as Kangwha for 1993-1997, appeared eventually in Vol VIII of the CI5. The Korean or 'pillar' model for a PBCR is a new one. The KCCR data file is a reliable basis, as a pillar, for a PBCR in each area. The main framework of the model for such a registry is the incorporation of a KCCR data file with data from additionally surveyed cases; the data related to cancer deaths, medical insurance claims, and visit-and surveillance of non-KCCR medical facilities. Cancer registration has been adopted as a national cancer control program by Korean government in 2004 as the Anti-Cancer Act was enacted. Since then, some officers have tried to launch a nation-wide PBCR covering whole country. In the meantime, however, cancer registration was interrupted and discontinued for years due to the Privacy Protection Law, which was solved by an amendment of the Anti-Cancer Act in 2006. It would be premature to establish the nation-wide PBCR in Korea. Instead, continuous efforts to improve the completeness of registration of the KCCR, to progress existing PBCRs, and to expand PBCRs over other areas are still to be devoted. The nation-wide PBCR in Korea will be established eventually with summation of the PBCRs of the Korean model.

임상표적체적 결정을 위한 기능 영상 기반 생물학적 인자 맵핑 소프트웨어 개발 (Development of the Multi-Parametric Mapping Software Based on Functional Maps to Determine the Clinical Target Volumes)

  • 박지연;정원균;이정우;이경남;안국진;홍세미;주라형;최보영;서태석
    • 한국의학물리학회지:의학물리
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    • 제21권2호
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    • pp.153-164
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    • 2010
  • 혈관분포도(vascularity) 및 세포조밀도(cellularity)와 같은 종양의 생물학적 특성을 고려한 임상표적체적을 결정하기 위하여, 국부혈류용적영상(regional cerebral blood volume map, rCBV map)과 겉보기확산계수영상(apparent diffusion coefficient map, ADC map)의 종양 체적을 해부학적 영상 위에 맵핑 할 수 있는 소프트웨어를 개발하였다. 개발한 프로그램은 해부학적 영상 및 기능 영상 간 mutual information, affine transform, non-rigid registration을 이용한 영상 정합 기능을 제공한다. 영상 정합 후 기준 영상과 정합된 영상에서 획득한 각 segmented bone의 겹치는 체적 비율 및 contour 간 평균 거리를 이용하여 정합도 평가도 가능하다. 잔여 종양이 있는 악성신경아교종 환자의 영상을 이용하여 소프트웨어의 기능을 평가하였을 때, bone segmentation과 contour 간 평균 거리 차이를 이용한 정합도는 각각 약 74%와 2.3 mm였으며, 수동정합을 이용하여 2~5% 정도의 정합도를 향상 시킬 수 있었다. 종양의 생물학적 특성을 치료 계획에 반영할 수 있도록, color map을 이용하여 rCBV map을 분석하였으며, ADC map에서 설정한 관심 영역의 평균 확산 계수와 표준 편차 등을 계산하여 종양의 예후 인자 및 악성도를 평가하였다. 두 기능 영상이 공통적으로 나타내는 종양 체적에서 얻은 생물학적 인자를 평면 위에 맵핑하여 종양의 특성을 쉽게 파악할 수 있는 multi-functional parametric map을 구성하였다. 또한 각기능 인자에 대응되는 악성 종양의 임계값을 적용하여 주변 종양 세포에 비하여 혈관 분포도는 높으면서 확산 계수는 낮아 악성 종양 세포일 확률이 높은 영역을 구분할 수 있었다. 각 기능 영상 위에서 설정한 생물학적 종양 체적 및 악성도가 높은 국소 체적은 해부학적 영상 위에 표시하여 dicom 파일로 출력할 수 있었다. 개발한 소프트웨어는 기능적 다중영상을 이용하여 생물학적 종양 체적을 해부학적 영상 위에 맵핑하는데 적용할 수 있으며, 해부학적 영상에서 파악하기 어려운 종양의 특성 변화들을 치료 계획에 활용할 수 있다. 나아가 개발한 소프트웨어를 이용하여, 한 종류의 영상을 참고하여 종양 체적을 결정했을 때 발생할 수 있는 오류를 줄이고, 치료 전이나 치료 과정에서 나타나는 종양의 조직학적, 생리학적 특성을 치료 계획에 접목하는데 활용할 수 있다.