• Title/Summary/Keyword: Cancer imaging

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A Case of 47-Years-Old Female with Obstructive Jaundice and Weight Loss

  • Park, Pil Gyu;Kang, Huapyong;Chung, Moon Jae;Park, Jeong Youp;Bang, Seungmin;Park, Seung Woo;Song, Si Young;Lee, Hee Seung
    • Journal of Digestive Cancer Research
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    • v.7 no.1
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    • pp.18-21
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    • 2019
  • Serine protease inhibitor Kazal-type 1 (SPINK1) is a gene expressed from pancreatic acinar cell which its mutation is known to be associated with chronic pancreatitis (CP) and pancreatic cancer. We report a case of a 47-years-old female with nausea and weight loss with yellow discoloration of skin. Initial imaging and endoscopic study led us to an impression of chronic pancreatitis with pancreatic cancer with common bile-duct dilation. Biopsy result was confirmed with pancreatic adenocarcinoma and additional imaging revealed lymph node and bone metastasis. Our genetic analysis revealed 194+2T>C mutation of SPINK1. Biliary obstruction was successfully decompressed by stent insertion and underwent chemotherapy and radiotherapy. Although there is accumulating evidence of association between SPINK1 mutation and CP, the relationship between SPINK1 mutation and pancreatic cancer in CP patient is an emerging concept. Genetic analysis should be considered in patients with young age especially when diagnosed with both CP and pancreatic cancer.

Diagnostic Performance of Whole-Body Diffusion-Weighted Imaging Compared to PET-CT Plus Brain MRI in Staging Clinically Resectable Lung Cancer

  • Usuda, Katsuo;Sagawa, Motoyasu;Maeda, Sumiko;Motono, Nozomu;Tanaka, Makoto;Machida, Yuichiro;Matoba, Takuma Matsui Munetaka;Watanabe, Naoto;Tonami, Hisao;Ueda, Yoshimichi;Uramoto, Hidetaka
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.6
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    • pp.2775-2780
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    • 2016
  • Background: Precise staging of lung cancer is usually evaluated by PET-CT and brain MRI. Recently, however, whole-body diffusion-weighted magnetic resonance imaging (WB-DWI) has be applied. The aim of this study is to determine whether the diagnostic performance of lung cancer staging by WB-DWI is superior to that of PET-CT+brain MRI. Materials and Methods: PET-CT + brain MRI and WB-DWI were used for lung cancer staging before surgery with 59 adenocarcinomas, 16 squamous cell carcinomas and 6 other carcinomas. Results: PET-CT + brain MRI correctly identified the pathologic N staging in 67 patients (82.7%), with overstaging in 5 (6.2%) and understaging in 9 (11.1%), giving a staging accuracy of 0.827. WB-DWI correctly identified the pathologic N staging in 72 patients (88.9%), with overstaging in 1 (1.2%) and understaging in 8 patients (9.9%), giving a staging accuracy of 0.889. There were no significant differences in accuracies. PET-CT + brain MRI correctly identified the pathologic stages in 56 patients (69.1%), with overstaging in 7 (8.6%) and understaging in 18 (22.2%), giving a staging accuracy of 0.691. WB-DWI correctly identified the pathologic stages in 61 patients (75.3%), with overstaging in 4 (4.9%) and understagings in16(19.7%), giving a staging accuracy of 0.753. There were no significant difference in accuracies. Conclusions: Diagnostic efficacy of WB-DWI for lung cancer staging is equivalent to that of PET-CT + brain MRI.

Motility Contrast Imaging for Drug Screening Applications

  • Jeong, Kwan
    • Journal of the Optical Society of Korea
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    • v.19 no.4
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    • pp.382-389
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    • 2015
  • Motility contrast imaging is a coherence-domain imaging technique that uses cellular motility as a fully endogenous imaging contrast agent. Motility is measured inside tissue using a digital holographic coherence gate that extracts dynamic speckle from fixed depths. The dynamic speckle arises from the normal organelle motion inside cells, and from the movement of the cellular membranes driven by the cytoskeleton. It measures cellular activity and the effects of temperature and osmolarity. Motion is sensitive to cytoskeletal drugs, such as the antimitotic drugs used for cancer chemotherapy, and the effects of drug combinations also can be monitored. Motility contrast imaging is a potential tissue-based assay platform for highthroughput screening of pharmaceuticals.

Ductal Carcinoma in situ with Multicystic Changes in a Patient with Interstitial Mammoplasty via Paraffin Injection: MRI and Pathological Findings

  • Park, Jiyoon;Woo, Ok Hee;Kim, Chungyeul;Cho, Kyu Ran;Seo, Bo Kyoung
    • Investigative Magnetic Resonance Imaging
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    • v.19 no.2
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    • pp.127-130
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    • 2015
  • Direct injection of foreign material, such as liquid paraffin and silicone, into the breast can induce a foreign body granulomatous reaction and fibrosis, resulting in hard, nodular breast masses and architectural distortion that can mimic neoplasm. Conventional methods, including physical examination, mammography, and ultrasonography are of little use to differentiate between foreign body-induced mastopathy and breast cancer. In patients with foreign body injection such as breast augmentation, dynamic contrast enhanced MR imaging is an excellent imaging modality. Here, the authors report the MR imaging and pathological findings of ductal carcinoma in situ (DCIS) with multicystic changes in a 41-year-old woman with a previous history of interstitial mammoplasty by paraffin injection.

Breast Ultrasound Microvascular Imaging and Radiogenomics

  • Ah Young Park;Bo Kyoung Seo;Mi-Ryung Han
    • Korean Journal of Radiology
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    • v.22 no.5
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    • pp.677-687
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    • 2021
  • Microvascular ultrasound (US) techniques are advanced Doppler techniques that provide high sensitivity and spatial resolution for detailed visualization of low-flow vessels. Microvascular US imaging can be applied to breast lesion evaluation with or without US contrast agents. Microvascular US imaging without a contrast agent uses a sophisticated wall filtering system to selectively obtain low-flow Doppler signals from overlapped artifacts. Microvascular US imaging with second-generation contrast agents amplifies flow signals and makes them last longer, which facilitates hemodynamic evaluation of breast lesions. In this review article, we will introduce various microvascular US techniques, explain their clinical applications in breast cancer diagnosis and radiologic-histopathologic correlation, and provide a summary of a recent radiogenomic study using microvascular US.

Non Small Cell Carcinoma Metastasis to Meningioma

  • Kim, Kyung Hyun;Hong, Eun Kyoung;Lee, Seung Hoon;Yoo, Heon
    • Journal of Korean Neurosurgical Society
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    • v.53 no.1
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    • pp.43-45
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    • 2013
  • "Tumor-to-tumor" metastasis is a rare event; meningioma has been reported as the most common primary intracranial tumor to harbor cancer metastases. Several hypotheses have been previously proposed to explain this occurrence, but the exact mechanism by which these metastases develop into meningiomas is not yet understood. Magnetic resonance imaging and spectroscopy have been valuable diagnostic tools, but preoperative diagnosis of metastasis to meningioma remains highly difficult. We present a case report of a metastasis of non-small cell lung cancer into an intracranial meningioma.

Clinical Application of $^{18}F-FDG$ PET in Esophageal Cancer (식도암에서의 $^{18}F-FDG$ PET의 임상 이용)

  • Choi, Joon-Young
    • Nuclear Medicine and Molecular Imaging
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    • v.42 no.sup1
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    • pp.32-38
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    • 2008
  • This review focuses on the clinical use of $^{18}F-FDG$ PET in esophageal cancer. For initial staging of esophageal cancer, $^{18}F-FDG$ PET is better than chest CT and is complementary to endoscopic ultrasound. Due to its good results for detecting distant metastasis, $^{18}F-FDG$ PET evades unnecessary curative surgery. Also, PET findings are associated with prognosis in esophageal cancer. $^{18}F-FDG$ PET seems to be useful for detecting recurrence and restaging in esophageal cancer. For therapy response assessment, $^{18}F-FDG$ PET is effective after chemotherapy or radiation therapy. $^{18}F-FDG$ PET is useful to predict pathological response after neoadjuvant therapy in esophageal cancer, which is better than chest CT and endoscopic ultrasound. For radiation therapy planning, $^{18}F-FDG$ PET may be helpful, but requires further investigations.

Clinical Investigation of Incidentally Found Thyroid Carcinoma in Mass Screening (집단 검진에서 발견된 갑상선 우연암종에 대한 임상적 고찰)

  • 김은서;장항석
    • Korean Journal of Bronchoesophagology
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    • v.7 no.2
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    • pp.168-173
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    • 2001
  • Background and Objectives: The introduction of highly sensitive imaging techniques has made it possible to detect many non-palpable nodules, or“incidentaloma”in the thyroid. Discovery of these lesions raises concerns about their malignancy, but the optimal strategy for managing these lesions has not been clearly established. This study was designed to evaluate the usefulness of ultrasonographic exam with new diagnostic criteria and presume the value of mass screening for thyroid cancer. Materials and Methods : Mass screening for thyroid cancer were carried out in conjunction with mass screening for breast cancer. The subjects were 630 women aged 30 years or over. Thyroid glands were examined with 10 MHz transducer ultrasonography by one radiologist. Needle aspiration biopsy were performed when suspicious of malignancy under the new diagnostic criteria. Results and Conclusion : The new ultrasonographic criteria to diagnose thyroid cancer provided useful information and ensured more accurate evaluation. 7 cases of thyroid cancer were discovered and successfully managed. It should be further demonstrated that there is sufficient value of mass screening for thyroid cancer to perform it independently despite early cancer detection.

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An Automated Way to Detect Tumor in Liver

  • Meenu Sharma. Rafat Parveen
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.209-213
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    • 2023
  • In recent years, the image processing mechanisms are used widely in several medical areas for improving earlier detection and treatment stages, in which the time factor is very important to discover the disease in the patient as possible as fast, especially in various cancer tumors such as the liver cancer. Liver cancer has been attracting the attention of medical and sciatic communities in the latest years because of its high prevalence allied with the difficult treatment. Statistics indicate that liver cancer, throughout world, is the one that attacks the greatest number of people. Over the time, study of MR images related to cancer detection in the liver or abdominal area has been difficult. Early detection of liver cancer is very important for successful treatment. There are few methods available to detect cancerous cells. In this paper, an automatic approach that integrates the intensity-based segmentation and k-means clustering approach for detection of cancer region in MRI scan images of liver.