• Title/Summary/Keyword: Cancer imaging

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Influence of Adipocytokines and Periprostatic Adiposity Measurement Parameters on Prostate Cancer Aggressiveness

  • Zhang, Qiang;Sun, Li-Jiang;Qi, Jun;Yang, Zhi-Gang;Huang, Tao
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.4
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    • pp.1879-1883
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    • 2014
  • Background: The relationship between obesity and prostate cancer aggressiveness is controversial in recent studies, partly because BMI is the only generally applied marker of obesity. Our study aimed at evaluating the correlation of periprostatic fat (PF) on magnatic resonance imaging (MRI) and adipocytokines with prostate cancer aggressiveness. Patients and method: A total of 184 patients who underwent radical retropubic prostatectomy (RRP) were analyzed retrospectively; different fat measurements on MRI slices and levels of adipocytokines were compared with the clinical and pathologic factors using SSPS ver.13.0. Result: The PF rates showed a statistically significant variation (p=0.019, 0.025) among groups, that is to say, more adipose tissue was distributed in periprostatic areas of high risk patients. Logistic regression analysis adjusted for age revealed a statistically association between the PF, the ratio and the risk of having high-risk disease (p=0.031, 0.024). The levels of IL-6, leptin and c-reactive protein (CRP) significantly increased with the aggressiveness of prostate cancer, and also with PF and its ratio. The strongest correlation was seen between IL-6 and PF (Pearson r coefficient=0.67, P<0.001). No association was observed between adipocytokines and BMI. Conclusion: Periprostatic adiposity not only affects prostate cancer aggressiveness, but also influences the secretion of adipocytokines. IL-6, PF and CRP have promoting effects on progression of prostate cancer.

Primary Carcinoma of the Sphenoid Sinus (원발성 접형동암)

  • Keum Ki-Chang;Oh Young-Taek;Kim Gwi-Eon;Park Hee-Chul;Chang Sei-Kyung;Lee Chang-Geol;Kim Se-Heon;Kim Young-Ho;Lee Won-Sang;Hong Won-Pyo
    • Korean Journal of Head & Neck Oncology
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    • v.12 no.2
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    • pp.212-216
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    • 1996
  • Four cases of sphenoid sinus carcinoma have been observed for last 10 years and we reviewed English literatures about sphenoid sinus carcinoma. The sphenoid sinus carcinoma is rare and the diagnosis is difficult. In the early stage, the non-specific deep constant headache is the only symptom but if the sinus wall is penetrated, the neuro-ophthalmologic symptoms and signs may appear. The extension of lesion is identified by radiologic imaging and the diagnosis requires direct biopsy. In case of deep constant headache combined with neuro-ophthalmologic symptoms and signs the sphenoid sinus carcinoma should be considered. Our small data reveals that the radiation treatment offers a possibility of relatively good outcome, although most of the cases are advanced already on initial diagnosis.

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Is Surgical Staging Necessary for Patients with Low-risk Endometrial Cancer? A Retrospective Clinical Analysis

  • Kokcu, Arif;Kurtoglu, Emel;Celik, Handan;Kefeli, Mehmet;Tosun, Migraci;Onal, Mesut
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.13
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    • pp.5331-5335
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    • 2015
  • Purpose: The aim of this study was to compare the tumor-free and overall survival rates between patients with low-risk endometrial cancer who underwent surgical staging and those who did not undergo surgical staging. Materials and Methods: Data, including demographic characteristics, grade of the tumor, myometrial invasion, cervical involvement, peritoneal washing, lymph node involvement, lymphovascular space invasion, postoperative complication, adjuvant treatment, cancer recurrence, and tumor-free and overall survival rates, for patients with low-risk endometrioid endometrial cancer who were treated surgically with and without pelvic and paraaortic lymph node dissection (LND) were analyzed retrospectively. The patients diagnosed with endometrioid endometrial cancer including the following criteria were considered low-risk: 1) a grade 1 (G1) or grade 2 (G2) endometrioid histology; 2) myometrial invasion of <50% upon magnetic resonance imaging (MRI); 3) no stromal glandular or stromal invasion upon MRI; and 4) no evidence of intra-abdominal metastasis. Then the patients at low-risk were divided into two groups; group 1 (n=117): patients treated surgically with pelvic and paraaortic LND and group 2 (n=170): patients treated surgically without pelvic and paraaortic LND. Results: There was no statistical significance when the groups were compared in terms of lymphovascular space invasion, cervical involvement, positive cytology, and recurrence, whereas the administration of an adjuvant therapy was higher in group 2 (p<0.005). The number of patients with positive pelvic nodes and the number of metastatic pelvic nodes were significantly higher in the group with positive LVI than in the group without LVI (p<0.005). No statistically significant differences were detected between the groups in terms of tumor-free survival (p=0.981) and overall survival (p=0.166). Conclusions: Total hysterectomy with bilateral salpingo-oophorectomy and stage-adapted postoperative adjuvant therapy without pelvic and/or paraaortic lymphadenectomy may be safe and efficient treatments for low-risk endometrial cancer.

A Review on Advanced Methodologies to Identify the Breast Cancer Classification using the Deep Learning Techniques

  • Bandaru, Satish Babu;Babu, G. Rama Mohan
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.420-426
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    • 2022
  • Breast cancer is among the cancers that may be healed as the disease diagnosed at early times before it is distributed through all the areas of the body. The Automatic Analysis of Diagnostic Tests (AAT) is an automated assistance for physicians that can deliver reliable findings to analyze the critically endangered diseases. Deep learning, a family of machine learning methods, has grown at an astonishing pace in recent years. It is used to search and render diagnoses in fields from banking to medicine to machine learning. We attempt to create a deep learning algorithm that can reliably diagnose the breast cancer in the mammogram. We want the algorithm to identify it as cancer, or this image is not cancer, allowing use of a full testing dataset of either strong clinical annotations in training data or the cancer status only, in which a few images of either cancers or noncancer were annotated. Even with this technique, the photographs would be annotated with the condition; an optional portion of the annotated image will then act as the mark. The final stage of the suggested system doesn't need any based labels to be accessible during model training. Furthermore, the results of the review process suggest that deep learning approaches have surpassed the extent of the level of state-of-of-the-the-the-art in tumor identification, feature extraction, and classification. in these three ways, the paper explains why learning algorithms were applied: train the network from scratch, transplanting certain deep learning concepts and constraints into a network, and (another way) reducing the amount of parameters in the trained nets, are two functions that help expand the scope of the networks. Researchers in economically developing countries have applied deep learning imaging devices to cancer detection; on the other hand, cancer chances have gone through the roof in Africa. Convolutional Neural Network (CNN) is a sort of deep learning that can aid you with a variety of other activities, such as speech recognition, image recognition, and classification. To accomplish this goal in this article, we will use CNN to categorize and identify breast cancer photographs from the available databases from the US Centers for Disease Control and Prevention.

A Case of Advanced Gastric Cancer with Deep Vein Thrombosis Treated with Low Molecular Weighted Heparin (전이성 위암환자의 심부정맥혈전증에 대한 저분자량 헤파린 투여 사례)

  • Su Jin Heo;Chan Hyuk Park;Sang Kil Lee
    • Journal of Digestive Cancer Research
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    • v.1 no.2
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    • pp.108-110
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    • 2013
  • The relationship between malignancy and venous thromboembolism(VTE) has been well established. About 20% of all VTE cases are associated with cancer and thrombotic events are the second leading cause of death in cancer patients after death from cancer itself. Effective prophylaxis and treatment will reduce morbidity and may decrease overall mortality. We report a case of VTE in a patient with advanced gastric cancer who treated with low-molecular weighted heparin (LMWH). A 49-year-old man with heartburn was admitted to our hospital. On the endoscopic and radiologic imaging, the patient was diagnosed as an advanced gastric cancer with perigastric infiltration and liver metastasis. During the combination chemotherapy, he had pain and swelling of left lower leg. Doppler ultrasonography showed left posterior tibial venous thrombosis and pulmonary embolism CT showed thromboembolism in subsegmental pulmonary artery branch in right lower lobe. He was treated with LMWH, Dalteparin once daily via subcutaneous injection, and his symptoms was subsided.

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Real-Time Implementation of Medical Ultrasound Strain Imaging System (의료용 초음파 스트레인 영상 시스템의 실시간 구현)

  • Jeong, Mok-Kun;Kwon, Sung-Jae;Bae, Moo-Ho
    • Journal of the Korean Society for Nondestructive Testing
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    • v.28 no.2
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    • pp.101-111
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    • 2008
  • Strain imaging in a medical ultrasound imaging system can differentiate the cancer or tumor in a lesion that is stiffer than the surrounding tissue. In this paper, a strain imaging technique using quasistatic compression is implemented that estimates the displacement between pre- and postcompression ultrasound echoes and obtains strain by differentiating it in the spatial direction. Displacements are computed from the phase difference of complex baseband signals obtained using their autocorrelation, and errors associated with converting the phase difference into time or distance are compensated for by taking into the center frequency variation. Also, to reduce the effect of operator's hand motion, the displacements of all scanlines are normalized with the result that satisfactory strain image quality has been obtained. These techniques have been incorporated into implementing a medical ultrasound strain imaging system that operates in real time.

The production and application of therapeutic 67Cu radioisotope in nuclear medicine

  • Kim, Gye-Hong;Lee, Kyo Chul;Park, Ji-Ae;An, Gwang-Il;Lim, Sang Mo;Kim, Jung Young;Kim, Byung Il
    • Journal of Radiopharmaceuticals and Molecular Probes
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    • v.1 no.1
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    • pp.23-30
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    • 2015
  • Radioisotopes emitting low-range highly ionizing radiation such as ${\beta}$-particles are of increasing significance in internal radiotherapy. Among the ${\beta}$-particle emitting radioisotopes, $^{67}Cu$ is an attractive radioisotope for various nuclear medicine applications due to its medium energy ${\beta}$-particle, gamma emissions, and 61.83-hour half-life, which can also be used with $^{64}Cu$ for PET imaging. The production and application of the ${\beta}$-emitting radioisotope $^{67}Cu$ for therapeutic radiopharmaceutical are outlined, and different production routes are discussed. A survey of copper chelators used for antibody labeling is provided. It has been produced via proton, alpha, neutron, and gamma irradiations followed by solvent extraction, ion exchange, electrodeposition. Clinical studies using $^{67}Cu$-labelled antibodies in lymphoma, colon carcinoma and bladder cancer patients are reviewed. Widespread use of this isotope for clinical studies and preliminary treatments has been limited by unreliable supplies, cost, and difficulty in obtaining therapeutic quantities.

Breast Imaging Reporting and Data System (BI-RADS): Advantages and Limitations (유방영상 판독과 자료체계: 장점과 한계)

  • Ji Soo Choi
    • Journal of the Korean Society of Radiology
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    • v.84 no.1
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    • pp.3-14
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    • 2023
  • Breast Imaging Reporting and Data System (BI-RADS) is a communication and data tracking system that standardizes and controls the quality of reporting by presenting lexicon descriptors, assessment categories, and recommendations for managing breast lesions. Using standardized terminology recommended by BI-RADS, radiologists can concisely and reproducibly communicate breast imaging results to clinicians. They can also provide the estimated malignant probability of the lesions found and guide management for them by determining the final assessment category. The limitations of BI-RADS 5th edition currently in use are that there are some areas for which standardized terminologies still need to be established, and that the diagnostic criteria of MRI assessment categories 3 and 4 are ambiguous compared to those for mammography or ultrasound. The next revision of BI-RADS is expected to include solutions for overcoming current limitations.

Utility of PET in follow-up of patients with colorectal cancer (대장 직장암 환자의 수술 후 추적 관찰에서 PET의 유용성)

  • Ryu, Young-Hoon;Yun, Mi-Jin;Lee, Jong-Doo
    • 대한핵의학회:학술대회논문집
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    • 2002.05a
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    • pp.17-24
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    • 2002
  • Recurrence of colorectal cancer after apparently curative resection remains common, with reported relapse rates of up to 40%. Because complete resection of solitary metastases or local recurrence may improve long-term survival, surgical management of such cases has become increasingly aggressive but has led to only modest survival benefit. The limitations of current approaches based on structural imaging are well documented, with over half of the patients who are thought suitable for curative surgery being found to have unresectable disease at operation. Therefore, better preoperative assessment is crucial. The increasing use of FDG-PET as an oncologic staging investigation has significantly improved the assessment of patients with suspected colorectal cancer recurrence. Several studios show that substantial and largely appropriate changes in patient management occur, often soaring patients the significant morbidity and mortality associated with aggressive but futile therapies while also saving scarce community resources. Nevertheless, the clinical relevance of these findings has still been questioned. The utility of PET in routine clinical practice will likely depend on its ability to provide incremental information compared with CT in selected patients rather than to serve as a replacement for CT. In conclusion, in patients with suspected recurrent or metastatic colorectal carcinoma, FDG-PET should be performed (1) when there is rising carcinoembryonic antigen levels in the absence of a known source, (2) to increase the specificity of structural imaging when there is an equivocal lesion, and (3) as a screening method for the entire body in the preoperative staging before curative resection of recurrent disease.

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Association of visceral fat obesity and other lifestyle factors with prostate cancer (비만으로 인한 전립선암 발생의 영향연구 : 복부비만도 측정과 그 외 생활 요인)

  • Kim, Myeong-Seong
    • Korean Journal of Digital Imaging in Medicine
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    • v.17 no.1
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    • pp.19-31
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    • 2015
  • 최근 우리나라의 암 발생률은 꾸준히 증가추세에 있고 그 중에서도 전립선암은 갑상선암을 제외했을 때 남성에서 가장 높은 증가 추세를 보이고 있는 암이다. 전립선암은 그 동안 선진국에서 주로 발병하는 것으로 알려진 암 종이지만 서구화된 식습관과 생활 행태 변화로 인하여 국내에서도 발생률이 증가하는 것으로 추정하고 있다. 따라서 국내 환경에 맞는 내장 지방 분포와 같은 정확한 비만도 측정을 통해 우리나라에서 증가율 1위를 보이고 있는 전립선암 발생의 원인 관계를 찾고자 한다. 본 연구는 환자와 정상군 비교를 하는 환자-대조군 연구이고 본 연구를 위하여 임상시험 윤리위원회 (IRB) 승인을 받았다 (NCC2014-0124). 환자군은 2014년 8월 1일부터 2015년 1월 6일 까지 국립암센터를 방문하여 전립선암을 진단받고 수술과 항암치료 그리고 방사선 치료를 시작하지 않은 초진을 대상으로 하였고, 정상군은 2009년 11월부터 2014년 9월 30일까지 공단검진을 목적으로 국립암센터를 방문한 정상인을 대상으로 하였다. 전립선암 연구는 환자 총 52명에 평균 66세 (51 - 82세)이고 정상군은 총 50명에 평균 64세 (59 - 75세) 이다. 모든 연구 대상자들의 생활 요인 평가를 위하여 암 가족력, 흡연, 음주 상태, 운동, 등을 추가적으로 설문 조사하였다. MRI 영상의 배꼽 주위에서의 내장 지방과 피하지방을 전용 분석 컴퓨터를 활용하여 측정 하였다. 복부비만율은 환자군과 정상군에서뿐만 아니라 (p = 0.03), 전립선암 악성도와 (Gleasonscore; p = 0.001)도 통계적 차이를 나타냈다. 하지만 BMI 결과와는 전립선암 발생과 악성도에서 무관함을 보인 것에 반해 허리둘레는 전립선암의 발생에 영향을 미치는 결과를 나타났다. 한편 전립선암의 또 다른 악성도 지표인 PSA는 비만 측정치와의 상관성이 Gleason score와 보다 대체적으로 낮게 나타났다. 학력, 운동량, 흡연, 음주 상태와 같은 생활 특성에 따른 전립선암 발생의 영향 관계는 뚜렷하지 않았다. 결론적으로 본 연구를 통해서 전립선암의 발생 위험도와 악성도 지표로 복부 비만도가 유용함을 나타냈고 간단한 신체 계측 지표 활용으로는 BMI보다 허리둘레 측정치가 더 암 발생의 연관성이 높음을 보였다.

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