• Title/Summary/Keyword: Lesion detection

Search Result 334, Processing Time 0.032 seconds

Occurrence of Plant-Parasitic Nematodes on Ornamental Foliage Plants, Citrus Orchards, and Tea Plantations in Korea (국내 관엽식물 및 작물재배지의 식물기생선충 발생 조사)

  • Sungchan Huh;Namsook Park;Yongchul Kim;Insoo Choi
    • Research in Plant Disease
    • /
    • v.29 no.4
    • /
    • pp.459-463
    • /
    • 2023
  • This study was conducted to investigate the plant-parasitic nematodes of ornamental foliage plants, citrus orchards, and tea plantations from July to December 2022. As a result of the investigation of plant-parasitic nematodes in 415 foliage plants, root-lesion nematodes were detected most frequently, followed by root-knot nematodes, pin nematodes, and other nematodes. In tea plantations, spiral nematodes, cyst nematodes, and root-knot nematodes were detected. Citrus nematodes, ring nematodes, and root-knot nematodes were discovered in citrus orchards. In foliage plants, tea plantations, and citrus orchards, the detection rate of plant-parasitic nematodes was not high, but root-lesion nematodes were detected. Therefore, it is necessary to apply appropriate control methods to manage root-lesion nematodes during the cultivation of foliage, tea, and citrus plants.

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

  • Woo, Sang-Keun;Kim, Kyeong-Min;Cheon, Gi-Jeong
    • Nuclear Medicine and Molecular Imaging
    • /
    • v.42 no.1
    • /
    • pp.1-7
    • /
    • 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.

Comparision of Imaging Features with Surgical Findings in the Patients with Craniosynostosis (두개골조기유합증 환자에서 영상소견과 수술소견의 비교)

  • Kim, Hyung Soo;Park, Se-Hyuck;Cho, Byung Moon;Oh, Sae-Moon
    • Journal of Korean Neurosurgical Society
    • /
    • v.30 no.12
    • /
    • pp.1417-1421
    • /
    • 2001
  • Objective : The purposes of this study are to compare imaging features with operative findings and to determine significance of imaging studies for early detection of craniosynostosis(CS). Methods : Plain radiograph of skull and three-dimensional(3D) CT reconstruction were analyzed in 10 consecutive patients with CS to assess the presence and the extent of synostosis. The radiological findings were investigated and compared with operative findings. Results : The locations of lesion were coronal suture in 6, sagittal suture in 3 and multiple sutures in one patient, and the age ranged 1 to 53 months(mean age : 17.4 months). Reconstructive procedures with or without advancement of supraorbital rim were performed in coronal CS patients and ${\pi}$-procedures or synostectomy were done in sagittal CS patients. Radi-ological abnormalities such as sutural indistinctness or sclerosis, bony ridge, bossing and other bony deformities were nearly consistent with surgical findings. Conclusion : The interpretation of imaging study are very important for early detection of craniosynostosis, especially, the plain radiographs of skull. Also 3D CT imaging is helpful in diagnosis and surgical planing of craniosynostosis. There are no significant differences between imaging features and operative findings in CS patients.

  • PDF

RADIATION-INDUCED OSTEOSARCOMA : REPORT OF A CASE (방사선 치료에 의해 발생한 골육종의 치험례)

  • Park, Kwan Soo;Lee, Yong Gyoo;Park, Hyo Sang;Kim, Jong Bae
    • Maxillofacial Plastic and Reconstructive Surgery
    • /
    • v.20 no.4
    • /
    • pp.379-382
    • /
    • 1998
  • The 44 years old man was consulted to our department due to restriction of mouth opening. On radiograph, we found bony expansive lesion at right mandibular ramus and temporal bone that it was suspected malignant tumor. So we had performed incisional bone biopsy at right ramus through skin incision. The result of biopsy was osteosarcoma. Then, he had experienced radiation therapy for the protection of recurrence after several times surgery of nasopharyngeal angiofibroma, 28 years ago. So, we concluded radiation induced osteosarcoma from his radiation therapy history. He had referred to the department of hematooncology because of severe expansion to skull base and was received 4 times chemotherapy with cisplatin and adriamycin, but he was expired just after 4th chemotherapy. Such radiation induced osteosarcoma have relative good prognosis due to rare metastasis from other reports. So if it will early detect from close follow up after radiation therapy, survival rate will rise up. But we missed early detection of our case. So, we report a case of rare radiation induced osteosarcoma. Ly detection of our case.

  • PDF

Detection of Lawsonia intracellularis in swine feces by polymerase chain reaction (돼지분변에서 PCR에 의한 Lawsonia intracellularis 검색)

  • 장성준;김정화;김영태;김기향;김중규;김영욱;최일영
    • Korean Journal of Veterinary Service
    • /
    • v.24 no.1
    • /
    • pp.43-50
    • /
    • 2001
  • Swine proliferative enteritis(SPE) caused by inかsoma intracellularis is a common enteric disaese of grower and finisher pig. Swine affected with SPE show variable clinical signs including diarrhea, weight loss, aberrant growth and death. The characteristic lesion of ileitis at necropsy is marked thickening of the last section of the small intestine. The inner lining of the thickened intestine proliferates almost like a cancer and curved rod bacteria(L intracellularis) are always seen inside the intestinal wall. Infected swine shed the organism in the feces. Isolation and growth of pure L intracellularis in vitro requires a suitable cell culture. This procedure is difficult and not a practical means of diagnosis, thus the polymerase chain reaction(PCR) test of feces can be used to determine whether a pig is shedding the infective organism. A sensitive assay based on amplification of a 319bp DffA fragment of the L intracellularis of Swine proliferative enteritis was attempted for the detection of the organism in the 62 feces of swine. L intracellularis was identified on three herds and detected in 6 fecal samples, representing a infection rate of 9.7%. The PCR was very sensitive and specific on the individual level. The PCR technique could be very useful for the diagnosis of this disease.

  • PDF

Exfoliation of Endometrial Cells on Cervicovaginal Smears (자궁경부 질 세포검사에서 관찰되는 자궁내막세포의 의의)

  • Kang, Mi-Seon;Yoon, Hye-Kyoung
    • The Korean Journal of Cytopathology
    • /
    • v.13 no.1
    • /
    • pp.1-7
    • /
    • 2002
  • The significance of endometrial cells on cervicovaginal smears is underestimated. The aim of this study is to evaluate the detection rate of endometrial cells on cervicovaginal smears. The materials consisted of two groups. Group I was 701 cervicovaginal smears from patients with no gynecological problems. Group II was 208 cervicovaginal smears from patients with abnormal uterine bleeding followed by endometrial curettage; 31 cases of endometrial adenocarclnoma(CA), 19 cases of endometrial hyperplasia(HP), 83 cases of dysfunctional uterine bleeding(DUB), and 75 cases of normal endometrium. Cervicovaginal smears were reviewed according to the criteria of The Bethesda System. Endometrial cells were identified in 15 of 701 cases(2.1%) in group I and 64 of 208 cases(30.8%) in group II. Among group II, detection rate of endometrial cells was the highest in CA (51.6%) compared to HP(26.3%), DUB(41.0%), and normal endometrium(12.0%) (p<0.05). Cytologic atypia of endometrial cells was not found In group I, but was more frequently identified in CA(87.5%) than in HP(10.5%) or DUB(14.7%) (p<0.05). Exfollatlon of endometrial cells might be related to abnormal endometrial lesion, and reporting of endometrial cells in the cervicovaginal smear may increase a chance to detect endometrial lesions especially in patients with abnormal uterine bleeding.

Detection of porcine circovirus 2, porcine reproductive and respiratory syndrome virus and Mycoplasma hyopneumoniae from swine lungs with lesions by PCR (돼지 폐렴병변에서 PCR을 이용한 써코바이러스 2, 돼지생식기호흡기증후군, 마이코플라즈마 폐렴 감염실태 조사)

  • Chu, Keum-Suk;Kang, Mi-Seon;Jo, Young-Suk;Lee, Jeong-Won
    • Korean Journal of Veterinary Service
    • /
    • v.31 no.1
    • /
    • pp.71-77
    • /
    • 2008
  • Today swine respiratory disease is one of the most important diseases because of its economic losses and severe infection nationwide, and swine society as well as veterinary service are trying to prevent the diseases in Korea. This study would like to obtain some information useful for the control of the diseases. A total of 174 lung specimens with lesion consisted of 3 sorts; 60 were collected from nursey pigs requested for diagnostic service from March of 2006 to October of 2007, 58 finishing pigs and 56 sows were selected from slaughterhouse from September to November 2007. In the detection test of pathogens by PCR, porcine circovirus 2 (PCV2), porcine reproductive and respiratory syndrome virus (PRRSV) and Mycoplasma hyopneumoniae were positive in 95.4%, 31.6%, and 20.1%, respectively. Double infection rate with PCV2 and PRRS was 30.4%, PCV2 and M hyopneumoniae was 19.5%, triple infection with PCV2, PRRS and M hyopneumoniae was 5.7%, respectively.

Boundary and Reverse Attention Module for Lung Nodule Segmentation in CT Images (CT 영상에서 폐 결절 분할을 위한 경계 및 역 어텐션 기법)

  • Hwang, Gyeongyeon;Ji, Yewon;Yoon, Hakyoung;Lee, Sang Jun
    • IEMEK Journal of Embedded Systems and Applications
    • /
    • v.17 no.5
    • /
    • pp.265-272
    • /
    • 2022
  • As the risk of lung cancer has increased, early-stage detection and treatment of cancers have received a lot of attention. Among various medical imaging approaches, computer tomography (CT) has been widely utilized to examine the size and growth rate of lung nodules. However, the process of manual examination is a time-consuming task, and it causes physical and mental fatigue for medical professionals. Recently, many computer-aided diagnostic methods have been proposed to reduce the workload of medical professionals. In recent studies, encoder-decoder architectures have shown reliable performances in medical image segmentation, and it is adopted to predict lesion candidates. However, localizing nodules in lung CT images is a challenging problem due to the extremely small sizes and unstructured shapes of nodules. To solve these problems, we utilize atrous spatial pyramid pooling (ASPP) to minimize the loss of information for a general U-Net baseline model to extract rich representations from various receptive fields. Moreover, we propose mixed-up attention mechanism of reverse, boundary and convolutional block attention module (CBAM) to improve the accuracy of segmentation small scale of various shapes. The performance of the proposed model is compared with several previous attention mechanisms on the LIDC-IDRI dataset, and experimental results demonstrate that reverse, boundary, and CBAM (RB-CBAM) are effective in the segmentation of small nodules.

Serous tubal intraepithelial carcinoma detected during benign gynecologic surgery: a case report

  • Eun Seo Shin;Sung Yob Kim
    • Journal of Medicine and Life Science
    • /
    • v.20 no.1
    • /
    • pp.48-52
    • /
    • 2023
  • High-grade serous carcinoma (HGSC) is the most common type of pelvic cancer among women. Serous tubal intraepithelial carcinoma (STIC) is a precursor lesion of HGSC. Herein, we report a rare occurrence of STIC in patients undergoing surgery for benign indications without a family history of ovarian cancer. A 77-year-old woman underwent total laparoscopic hysterectomy and bilateral salpingo-oophorectomy for uterine prolapse. Pathological examination revealed bilateral STIC without ovarian abnormalities, and no other abnormal findings were noted. Another patient, a 49-year-old woman, underwent laparoscopic total hysterectomy and bilateral salpingectomy for uterine fibroids. STIC lesions were observed in both fallopian tubes. Subsequently, a staging was performed. No additional lesions were found, and the patient was followedup through imaging and blood tests. As reports of STIC lesions are rare, data on their clinical outcomes and management strategies are limited. In this report, we present cases of incidental STIC in benign surgery and discuss its proper interpretation and management. Through the early detection of STIC lesions, patients with risk factors can be identified in advance, which will allow prevention and early detection of ovarian cancer. Opportunistic salpingectomy was also actively discussed in this regard.

A Novel Whale Optimized TGV-FCMS Segmentation with Modified LSTM Classification for Endometrium Cancer Prediction

  • T. Satya Kiranmai;P.V.Lakshmi
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.5
    • /
    • pp.53-64
    • /
    • 2023
  • Early detection of endometrial carcinoma in uterus is essential for effective treatment. Endometrial carcinoma is the worst kind of endometrium cancer among the others since it is considerably more likely to affect the additional parts of the body if not detected and treated early. Non-invasive medical computer vision, also known as medical image processing, is becoming increasingly essential in the clinical diagnosis of various diseases. Such techniques provide a tool for automatic image processing, allowing for an accurate and timely assessment of the lesion. One of the most difficult aspects of developing an effective automatic categorization system is the absence of huge datasets. Using image processing and deep learning, this article presented an artificial endometrium cancer diagnosis system. The processes in this study include gathering a dermoscopy images from the database, preprocessing, segmentation using hybrid Fuzzy C-Means (FCM) and optimizing the weights using the Whale Optimization Algorithm (WOA). The characteristics of the damaged endometrium cells are retrieved using the feature extraction approach after the Magnetic Resonance pictures have been segmented. The collected characteristics are classified using a deep learning-based methodology called Long Short-Term Memory (LSTM) and Bi-directional LSTM classifiers. After using the publicly accessible data set, suggested classifiers obtain an accuracy of 97% and segmentation accuracy of 93%.