• 제목/요약/키워드: MRI 영상

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이식신장에 생긴 유두모양 신세포암종과 고유신장에 생긴 Xp11.2전위/전사인자E3-재배열 신세포암종: 증례 보고 (Papillary Renal Cell Carcinoma in Transplanted Kidney and Xp11.2 Translocation/Transcription Factor E3-Rearranged Renal Cell Carcinoma in the Native Kidney: A Case Report)

  • 김민혜;김경아;김정우;이석영;최재웅
    • 대한영상의학회지
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    • 제85권2호
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    • pp.437-444
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    • 2024
  • 고유신장과 이식신장 모두에 신세포암종이 발생하는 경우는 매우 드물며, 소수의 증례만이 영문 문헌에서 보고되었다. Xp11.2전위/전사인자E3 (이하 TFE3)-재배열 신세포암종은 성인인구에서 드문 아형이다. 신장이식을 받은 어린이에서 TFE3-재배열 신세포암종이 소수의 증례로 보고되었으나, 어른에서 신장이식 후 TFE3-재배열 신세포암종이 보고된 증례는 없다. 저자들은 이식신장에 유두모양 신세포암종이, 고유신장에 TFE3-재배열 신세포암종이 있던 드문 증례를 영상 소견과 함께 보고하고자 한다. 고유신장에 생긴 TFE3-재배열 신세포암종은 5년에 걸쳐 천천히 자랐다. CT에서 약한 조영증강을 보이는 소엽 모양 종괴였으며, MRI에서는 T1 강조영상에서 높은 신호 강도를, T2 강조영상에서 낮은 신호 강도를 보였다.

주산기아사가 있는 환아에서 나타나는 Tc-99m ECD 뇌 단일광자컴퓨터촬영에서의 롤란도야의 혈류감소: 자기공명영상 및 임상소견과의 비교 (Perirolandic Hypoperfusion on Tc-99m ECD Brain SPECT in Term Infants with Perinatal Asphyxia: Comparison with MRI and Clinical Findings)

  • 이선아;유영훈;이종두;황윤준;김동익;윤평호;전평;문성욱;박창일
    • 대한핵의학회지
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    • 제31권1호
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    • pp.1-8
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    • 1997
  • 뇌성마비는 뇌 발달시기중 초기의 장애로 인하여 운동기능과 자세의 이상 등을 초래하는 질환으로 임상적으로 여러 유형으로 나누어진다. 뇌성마비 환자중에서 MRI 상 롤란도야의 이상소견을 보이는 경우 특이한 임상적 특징을 나타낸다고 보고되어있다. 본 논문에서는 이들을 대상으로 하여 뇌 단일광자컴퓨터촬영에서 나타나는 뇌혈류 이상 소견과 MRI 소견, 그리고 임상양상들을 비교해보고자 하였다. 임상적으로 뇌성마비로 진단된 80여명의 환자중 MRI상 롤란도야에 저산소성 뇌질환의 소견을 보인 7명을 대상으로 하였다. 이들에게 5-10mCi의 Tc-99m-ECD를 정맥주사후 뇌 단일광자컴퓨터촬영을 하였다. 뇌 단일광자컴퓨터촬영상에서는 특히 뇌피질, 선조체, 시상, 뇌간 및 소뇌의 혈류이상 소견을 분석하였고, 이를 MRI 소견 및 임상증상과 비교하였다. 모든 환자들은 만삭 또는 만삭에 가깝게 태어났고, 주산기 아사가 여섯명의 환자에서 있었다. 임상적으로는 긴장성 사지마비로 나타났다. Tc-99m ECD를 이용한 뇌 단일광자 컴퓨터촬영상 롤란도야의 혈류감소는 모두에서 확연하게 나타났다 MRI상에서 롤란도야의 이상소견은 5명에서는 확실하게 나타났고, 2명에서는 의심되었다. MRI상에서 이상소견을 보인 것보다 더 광범위한 부분에서 뇌단일광자컴퓨터촬영상 이상소견이 보였다. 결론적으로, 롤란도야에서 이상소견을 보인 환자는 임상적, 구조적, 그리고 기능적으로 특이한 소견을 보였다. Tc-99m-ECD를 이용한 뇌 단일광자컴퓨터촬영은 매우 민감하게 반영하였고, MRI보다 뇌의 더 광범위한 부위에서 이상소견을 보였다.

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3.0 T MRI를 위한 병렬전송 고주파 코일 구조 비교와 최적화 (Comparison and Optimization of Parallel-Transmission RF Coil Elements for 3.0 T Body MRI)

  • 오창현;이흥규;류연철;현정호;최혁진
    • 전자공학회논문지SC
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    • 제44권4호통권316호
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    • pp.55-60
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    • 2007
  • 3.0 T 이상의 고자장 MRI의 경우 특히 body 영상에서는 전자기파의 특성상 피촬영체 내부의 자장 불균일도가 매우 심하여 부분적으로 SAR(Specific Absorption Ratio)가 인체 허용치 이상으로 높아지는 경우가 있다. 본 연구에서는 3.0 T Body MRI에서 이와 같은 문제점을 극복하기 위한 병렬전송 고주파 코일 (parallel-transmission radio frequency coil)의 element 구조와 동작 방법을 최적화하고 FDTD 시뮬레이션을 통하여 유용성을 검증토록 하였다. 이를 위해 3가지 형태의 전송 고주파 코일 element에 대하여 여러 가지 parameter를 실험 및 시뮬레이션을 통해 비교하였으며 각각의 element에 독립적으로 공급되는 고주파 펄스는 코일 내부의 피촬영체에 적절한 자장의 크기와 초소의 SAR를 가지면서 자장의 균일도를 향상시키는 방향으로 최적화하였다. 예로 3.0 T Body MRI에서 $25cm{\times}8cm$ 코일 요소를 12 채널로 구성하는 방식의 경우 최적화 이전에는 70% 이상의 자장의 불균일도를 보인 반면 최적화 후에는 26% 이하로 개선시킬 수 있었다. 따라서 본 연구에선 제안된 코일구조는 (초)고자장 MRI에도 유용하게 적용될 것으로 판단된다.

심장 전산화단층촬영을 이용한 박출계수 산출 시 박출계수의 보정을 통한 오진율 개선에 관한 연구 (A Study on Misdiagnosis Rates of Ejection Fraction Associated with Cardiac Computed Tomography: Suggestions and Correction for Improvement)

  • 나사라;정미애
    • 한국콘텐츠학회논문지
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    • 제21권2호
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    • pp.437-444
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    • 2021
  • 본 연구는 cardiac CT를 이용한 박출계수 산출 시 cardiac MRI와 물리적 시간 해상도 차이를 분석하여 보정함으로써 cardiac CT의 오진율을 감소시키고자 하였다. 연구 방법은 대동맥판막 역류 질환을 진단받은 138명을 대상으로 cardiac CT와 cardiac MRI의 박출계수를 산출한 후 두 검사 간 물리적 시간 해상도 차이를 cardiac CT의 박출계수에 보정한 다음 신뢰도를 평가하여, 물리적 시간 해상도 차이 보정 전, 후 cardiac CT의 오진율이 개선됐는지 평가 하였다. 연구결과, 물리적 시간 해상도 차이 보정 전 cardiac CT 박출계수의 오진율은 38.4%(53명)로 높게 나왔고, 보정 후 오진율은 23.9%(33명)로 감소하였다. 또한 Bland-Altman plot에서 확인한 보정된 cardiac CT 박출계수는 cardiac MRI의 박출계수와의 일치도가 상당히 높은 것을 알 수 있다. 결론적으로 심장판막 질환 진단시 단순한 cardiac CT의 박출계수로만 진단하는 것은 오진율을 높일 수 있으므로 cardiac MRI로 물리적 시간 해상도의 차이를 보정하면 오진율을 14.5%(20명) 감소시킬 수 있다. 그러므로 본 연구를 박출계수 산출 시 적용한다면 유용성이 높다고 사료된다.

Differentiating Uterine Sarcoma From Atypical Leiomyoma on Preoperative Magnetic Resonance Imaging Using Logistic Regression Classifier: Added Value of Diffusion-Weighted Imaging-Based Quantitative Parameters

  • Hokun Kim;Sung Eun Rha;Yu Ri Shin;Eu Hyun Kim;Soo Youn Park;Su-Lim Lee;Ahwon Lee;Mee-Ran Kim
    • Korean Journal of Radiology
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    • 제25권1호
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    • pp.43-54
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    • 2024
  • Objective: To evaluate the added value of diffusion-weighted imaging (DWI)-based quantitative parameters to distinguish uterine sarcomas from atypical leiomyomas on preoperative magnetic resonance imaging (MRI). Materials and Methods: A total of 138 patients (age, 43.7 ± 10.3 years) with uterine sarcoma (n = 44) and atypical leiomyoma (n = 94) were retrospectively collected from four institutions. The cohort was randomly divided into training (84/138, 60.0%) and validation (54/138, 40.0%) sets. Two independent readers evaluated six qualitative MRI features and two DWI-based quantitative parameters for each index tumor. Multivariable logistic regression was used to identify the relevant qualitative MRI features. Diagnostic classifiers based on qualitative MRI features alone and in combination with DWI-based quantitative parameters were developed using a logistic regression algorithm. The diagnostic performance of the classifiers was evaluated using a cross-table analysis and calculation of the area under the receiver operating characteristic curve (AUC). Results: Mean apparent diffusion coefficient value of uterine sarcoma was lower than that of atypical leiomyoma (mean ± standard deviation, 0.94 ± 0.30 10-3 mm2/s vs. 1.23 ± 0.25 10-3 mm2/s; P < 0.001), and the relative contrast ratio was higher in the uterine sarcoma (8.16 ± 2.94 vs. 4.19 ± 2.66; P < 0.001). Selected qualitative MRI features included ill-defined margin (adjusted odds ratio [aOR], 17.9; 95% confidence interval [CI], 1.41-503, P = 0.040), intratumoral hemorrhage (aOR, 27.3; 95% CI, 3.74-596, P = 0.006), and absence of T2 dark area (aOR, 83.5; 95% CI, 12.4-1916, P < 0.001). The classifier that combined qualitative MRI features and DWI-based quantitative parameters showed significantly better performance than without DWI-based parameters in the validation set (AUC, 0.92 vs. 0.78; P < 0.001). Conclusion: The addition of DWI-based quantitative parameters to qualitative MRI features improved the diagnostic performance of the logistic regression classifier in differentiating uterine sarcomas from atypical leiomyomas on preoperative MRI.

Impact of the Liver Imaging Reporting and Data System on Research Studies of Diagnosing Hepatocellular Carcinoma Using MRI

  • Yura Ahn;Sang Hyun Choi;Jong Keon Jang;So Yeon Kim;Ju Hyun Shim;Seung Soo Lee;Jae Ho Byun
    • Korean Journal of Radiology
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    • 제23권5호
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    • pp.529-538
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    • 2022
  • Objective: Since its introduction in 2011, the CT/MRI diagnostic Liver Imaging Reporting and Data System (LI-RADS) has been updated in 2014, 2017, and 2018. We evaluated the impact of CT/MRI diagnostic LI-RADS on liver MRI research methodology for the diagnosis of hepatocellular carcinoma (HCC). Materials and Methods: The MEDLINE, EMBASE, and Cochrane databases were searched for original articles reporting the diagnostic performance of liver MRI for HCC between 2011 and 2019. The MRI techniques, image analysis methods, and diagnostic criteria for HCC used in each study were investigated. The studies were classified into three groups according to the year of publication (2011-2013, 2014-2016, and 2017-2019). We compared the percentage of studies adopting MRI techniques recommended by LI-RADS, image analysis methods in accordance with the lexicon defined in LI-RADS, and diagnostic criteria endorsed by LI-RADS. We compared the pooled sensitivity and specificity between studies that used the LI-RADS and those that did not. Results: This systematic review included 179 studies. The percentages of studies using imaging techniques recommended by LI-RADS were 77.8% for 2011-2013, 85.7% for 2014-2016, and 84.2% for 2017-2019, with no significant difference (p = 0.951). After the introduction of LI-RADS, the percentages of studies following the LI-RADS lexicon were 0.0%, 18.4%, and 56.6% in the respective periods (p < 0.001), while the percentages of studies using the LI-RADS diagnostic imaging criteria were 0.0%, 22.9%, and 60.7%, respectively (p < 0.001). Studies that did not use the LI-RADS and those that used the LIRADS version 2018 showed no significant difference in sensitivity and specificity (86.3% vs. 77.7%, p = 0.102 and 91.4% vs. 89.9%, p = 0.770, respectively), with some difference in heterogeneity (I2 = 94.3% vs. 86.7% in sensitivity and I2 = 86.6% vs. 53.2% in specificity). Conclusion: LI-RADS imparted significant changes in the image analysis methods and diagnostic criteria used in liver MRI research for the diagnosis of HCC.

Comparison Between Contrast-Enhanced Computed Tomography and Contrast-Enhanced Magnetic Resonance Imaging With Magnetic Resonance Cholangiopancreatography for Resectability Assessment in Extrahepatic Cholangiocarcinoma

  • Jeongin Yoo;Jeong Min Lee;Hyo-Jin Kang;Jae Seok Bae;Sun Kyung Jeon;Jeong Hee Yoon
    • Korean Journal of Radiology
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    • 제24권10호
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    • pp.983-995
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    • 2023
  • Objective: To compare the diagnostic performance and interobserver agreement between contrast-enhanced computed tomography (CECT) and contrast-enhanced magnetic resonance imaging (CE-MRI) with magnetic resonance cholangiopancreatography (MRCP) for evaluating the resectability in patients with extrahepatic cholangiocarcinoma (eCCA). Materials and Methods: This retrospective study included treatment-naïve patients with pathologically confirmed eCCA, who underwent both CECT and CE-MRI with MRCP using extracellular contrast media between January 2015 and December 2020. Among the 214 patients (146 males; mean age ± standard deviation, 68 ± 9 years) included, 121 (56.5%) had perihilar cholangiocarcinoma. R0 resection was achieved in 108 of the 153 (70.6%) patients who underwent curative-intent surgery. Four fellowship-trained radiologists independently reviewed the findings of both CECT and CE-MRI with MRCP to assess the local tumor extent and distant metastasis for determining resectability. The pooled area under the receiver operating characteristic curve (AUC), sensitivity, and specificity of CECT and CE-MRI with MRCP were compared using clinical, surgical, and pathological findings as reference standards. The interobserver agreement of resectability was evaluated using Fleiss kappa (κ). Results: No significant differences were observed between CECT and CE-MRI with MRCP in the pooled AUC (0.753 vs. 0.767), sensitivity (84.7% [366/432] vs. 90.3% [390/432]), and specificity (52.6% [223/424] vs. 51.4% [218/424]) (P > 0.05 for all). The AUC for determining resectability was higher when CECT and CE-MRI with MRCP were reviewed together than when CECT was reviewed alone in patients with discrepancies between the imaging modalities or with indeterminate resectability (0.798 [0.754-0.841] vs. 0.753 [0.697-0.808], P = 0.014). The interobserver agreement for overall resectability was fair for both CECT (κ = 0.323) and CE-MRI with MRCP (κ = 0.320), without a significant difference (P = 0.884). Conclusion: CECT and CE-MRI with MRCP showed no significant differences in the diagnostic performance and interobserver agreement in determining the resectability in patients with eCCA.

Ultrafast MRI and T1 and T2 Radiomics for Predicting Invasive Components in Ductal Carcinoma in Situ Diagnosed With Percutaneous Needle Biopsy

  • Min Young Kim;Heera Yoen;Hye Ji;Sang Joon Park;Sun Mi Kim;Wonshik Han;Nariya Cho
    • Korean Journal of Radiology
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    • 제24권12호
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    • pp.1190-1199
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    • 2023
  • Objective: This study aimed to investigate the feasibility of ultrafast magnetic resonance imaging (MRI) and radiomic features derived from breast MRI for predicting the upstaging of ductal carcinoma in situ (DCIS) diagnosed using percutaneous needle biopsy. Materials and Methods: Between August 2018 and June 2020, 95 patients with 98 DCIS lesions who underwent preoperative breast MRI, including an ultrafast sequence, and subsequent surgery were included. Four ultrafast MRI parameters were analyzed: time-to-enhancement, maximum slope (MS), area under the curve for 60 s after enhancement, and time-to-peak enhancement. One hundred and seven radiomic features were extracted for the whole tumor on the first post-contrast T1WI and T2WI using PyRadiomics. Clinicopathological characteristics, ultrafast MRI findings, and radiomic features were compared between the pure DCIS and DCIS with invasion groups. Prediction models, incorporating clinicopathological, ultrafast MRI, and radiomic features, were developed. Receiver operating characteristic curve analysis and area under the curve (AUC) were used to evaluate model performance in distinguishing between the two groups using leave-one-out cross-validation. Results: Thirty-six of the 98 lesions (36.7%) were confirmed to have invasive components after surgery. Compared to the pure DCIS group, the DCIS with invasion group had a higher nuclear grade (P < 0.001), larger mean lesion size (P = 0.038), larger mean MS (P = 0.002), and different radiomic-related characteristics, including a more extensive tumor volume; higher maximum gray-level intensity; coarser, more complex, and heterogeneous texture; and a greater concentration of high gray-level intensity. No significant differences in AUCs were found between the model incorporating nuclear grade and lesion size (0.687) and the models integrating additional ultrafast MRI and radiomic features (0.680-0.732). Conclusion: High nuclear grade, larger lesion size, larger MS, and multiple radiomic features were associated with DCIS upstaging. However, the addition of MS and radiomic features to the prediction model did not significantly improve the prediction performance.

Prognostic Prediction Based on Dynamic Contrast-Enhanced MRI and Dynamic Susceptibility Contrast-Enhanced MRI Parameters from Non-Enhancing, T2-High-Signal-Intensity Lesions in Patients with Glioblastoma

  • Sang Won Jo;Seung Hong Choi;Eun Jung Lee;Roh-Eul Yoo;Koung Mi Kang;Tae Jin Yun;Ji-Hoon Kim;Chul-Ho Sohn
    • Korean Journal of Radiology
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    • 제22권8호
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    • pp.1369-1378
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    • 2021
  • Objective: Few attempts have been made to investigate the prognostic value of dynamic contrast-enhanced (DCE) MRI or dynamic susceptibility contrast (DSC) MRI of non-enhancing, T2-high-signal-intensity (T2-HSI) lesions of glioblastoma multiforme (GBM) in newly diagnosed patients. This study aimed to investigate the prognostic values of DCE MRI and DSC MRI parameters from non-enhancing, T2-HSI lesions of GBM. Materials and Methods: A total of 76 patients with GBM who underwent preoperative DCE MRI and DSC MRI and standard treatment were retrospectively included. Six months after surgery, the patients were categorized into early progression (n = 15) and non-early progression (n = 61) groups. We extracted and analyzed the permeability and perfusion parameters of both modalities for the non-enhancing, T2-HSI lesions of the tumors. The optimal percentiles of the respective parameters obtained from cumulative histograms were determined using receiver operating characteristic (ROC) curve and univariable Cox regression analyses. The results were compared using multivariable Cox proportional hazards regression analysis of progression-free survival. Results: The 95th percentile value (PV) of Ktrans, mean Ktrans, and median Ve were significant predictors of early progression as identified by the ROC curve analysis (area under the ROC curve [AUC] = 0.704, p = 0.005; AUC = 0.684, p = 0.021; and AUC = 0.670, p = 0.0325, respectively). Univariable Cox regression analysis of the above three parametric values showed that the 95th PV of Ktrans and the mean Ktrans were significant predictors of early progression (hazard ratio [HR] = 1.06, p = 0.009; HR = 1.25, p = 0.017, respectively). Multivariable Cox regression analysis, which also incorporated clinical parameters, revealed that the 95th PV of Ktrans was the sole significant independent predictor of early progression (HR = 1.062, p < 0.009). Conclusion: The 95th PV of Ktrans from the non-enhancing, T2-HSI lesions of GBM is a potential prognostic marker for disease progression.

Imaging Assessment of Visceral Pleural Surface Invasion by Lung Cancer: Comparison of CT and Contrast-Enhanced Radial T1-Weighted Gradient Echo 3-Tesla MRI

  • Yu Zhang;Woocheol Kwon;Ho Yun Lee;Sung Min Ko;Sang-Ha Kim;Won-Yeon Lee;Suk Joong Yong;Soon-Hee Jung;Chun Sung Byun;JunHyeok Lee;Honglei Yang;Junhee Han;Jeanne B. Ackman
    • Korean Journal of Radiology
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    • 제22권5호
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    • pp.829-839
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    • 2021
  • Objective: To compare the diagnostic performance of contrast-enhanced radial T1-weighted gradient-echo 3-tesla (3T) magnetic resonance imaging (MRI) and computed tomography (CT) for the detection of visceral pleural surface invasion (VPSI). Visceral pleural invasion by non-small-cell lung cancer (NSCLC) can be classified into two types: PL1 (without VPSI), invasion of the elastic layer of the visceral pleura without reaching the visceral pleural surface, and PL2 (with VPSI), full invasion of the visceral pleura. Materials and Methods: Thirty-three patients with pathologically confirmed VPSI by NSCLC were retrospectively reviewed. Multidetector CT and contrast-enhanced 3T MRI with a free-breathing radial three-dimensional fat-suppressed volumetric interpolated breath-hold examination (VIBE) pulse sequence were compared in terms of the length of contact, angle of mass margin, and arch distance-to-maximum tumor diameter ratio. Supplemental evaluation of the tumor-pleura interface (smooth versus irregular) could only be performed with MRI (not discernible on CT). Results: At the tumor-pleura interface, radial VIBE MRI revealed a smooth margin in 20 of 21 patients without VPSI and an irregular margin in 10 of 12 patients with VPSI, yielding an accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F-score for VPSI detection of 91%, 83%, 95%, 91%, 91%, and 87%, respectively. The McNemar test and receiver operating characteristics curve analysis revealed no significant differences between the diagnostic accuracies of CT and MRI for evaluating the contact length, angle of mass margin, or arch distance-to-maximum tumor diameter ratio as predictors of VPSI. Conclusion: The diagnostic performance of contrast-enhanced radial T1-weighted gradient-echo 3T MRI and CT were equal in terms of the contact length, angle of mass margin, and arch distance-to-maximum tumor diameter ratio. The advantage of MRI is its clear depiction of the tumor-pleura interface margin, facilitating VPSI detection.