• Asian Pacific Journal of Cancer Prevention
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• 제16권15호
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• pp.6681-6684
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• 2015

Background: Metastatic cancer with invasion of skin, soft tissue and skeletal muscle is not common. Examples presenting as soft tissue masses could sometimes lead to misdiagnosis with delayed or inappropriate management. The purpose of current study was to investigate clinical characteristics in the involvement of metastatic cancer. Materials and Methods: A total of 1,097 patients complaining of skin or soft tissue masses and/or lesions were retrospectively reviewed from January 2012 to June 2013. Tumors involving skin, soft tissue and skeletal muscle of head and neck, chest wall, abdominal wall, pelvic region, back, upper and lower extremities were included in the study. Results: Fifty-seven (5.2%) patients were recognized as having malignancies on histopathological examination. The most common involvement of malignancy was basal cell carcinoma, followed by cutaneous squamous cell carcinoma, sarcoma and melanoma. The most common anatomical location in skin and soft tissue malignancies was head and neck (52.6% of the malignancies). Four (0.36%) of the malignant group were identified as metastatic cancer with the primary cancer source from lung, liver and tonsil and the most common site was upper extremities. One of them unexpectedly expired during the operation of metastatic tumor excision at the scalp. Conclusions: Discrimination between benign and malignant soft tissue tumors is crucial. Performance of imaging study could assist in the differential diagnosis and the pre-operative risk evaluation of metastatic tumors involving skin, soft tissue and skeletal muscle.

• Asian Pacific Journal of Cancer Prevention
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• 제13권7호
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• pp.3213-3218
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• 2012

When patients with advanced breast cancer (ABC) are treated with neoadjuvant chemotherapy (NACT), efficacy is monitored by the extent of tumor shrinkage. Since their publication in 1981, World Health Organization (WHO) guidelines have been widely practiced in clinical trials and oncologic practice, for standardized tumor response evaluation. With advances in cancer treatment and tumor imaging, a simpler criterion based on one-dimensional rather than bi-dimensional (WHO) tumor measurement, named Response Evaluation Criteria in Solid Tumors (RECIST) was introduced in 2000. Both approaches have four response categories: complete response, partial response, stable disease and progressive disease (PD). Bi-dimensional measurement data of 151 patients with ABC were analysed with WHO and RECIST criteria to compare their response categories and inter criteria reproducibility by Kappa statistics. There was 94% concordance and 9/151 patients were recategorized with RECIST including 6/12 PD cases. RECIST therefore under-estimates and delays diagnosis of PD. This is undesirable because it may delay or negate switch over to alternate therapy. Analysis was repeated with a new criteria named RECIST-Breast (RECIST-B), with a lower threshold for PD (${\geq}10%$ rather than ${\geq}20%$ increase of RECIST). This showed higher concordance of 97% with WHO criteria and re-categorization of only 4/151 patients (1/12 PD cases). RECIST-B criteria therefore have advantages of both ease of measurement and calculations combined with excellent concordance with WHO criteria, providing a practical clinical tool for response evaluation and offering good comparison with past and current clinical trials of NACT using WHO guidelines.

• Asian Pacific Journal of Cancer Prevention
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• 제13권7호
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• pp.3299-3303
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• 2012

Objective: To investigate the association between xeroderma pigmentosum group D (XPD) Asp312Asn polymorphism and esophageal cancer (EC) susceptibility by meta-analysis. Methods: We searched PubMed up to April 9th, 2012, to identify relevant papers, and 8 published case-control studies including 2165 EC patients and 3141 healthy controls were yielded. Odds ratios (ORs) with relevant 95% confidence intervals (CIs) were applied to assess the association between XPD Asp312Asn polymorphism and EC susceptibility with the Comprehensive Meta-Analysis software, version 2.2. Results: Overall, the meta-analysis results suggested the XPD Asp312Asn polymorphism to be significantly associated with EC susceptibility [(Asn/Asn+Asp/Asn) vs. Asp/Asp: OR=1.20, 95%CI=1.05-1.36, p=0.01; and Asp/Asn vs. Asp/Asp: OR=1.15, 95%CI =1.01-1.31, p=0.04]. In the subgroup analysis by ethnicity and cancer type, significantly associations were found for Caucasian populations [(Asn/Asn+Asp/Asn) vs. Asp/Asp: OR=1.26, 95%CI =1.08-1.47, p<0.001; Asp/Asn vs. Asp/Asp: OR=1.19, 95%CI =1.02-1.40, p=0.03] and esophageal squamous cell carcinoma [(Asn/Asn+Asp/Asn) vs. Asp/Asp: OR=1.19, 95%CI=1.01-1.41, p=0.04]. There was no heterogeneity and no publication bias existed. Conclusions: This meta-analysis shows that the XPD Asp312Asn polymorphism may be a risk factor for developing EC, especially for Caucasian populations and esophageal squamous cell carcinoma.

• Asian Pacific Journal of Cancer Prevention
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• 제15권7호
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• pp.3179-3183
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• 2014

Background: The purpose of study was to evaluate radiologic or clinical features of breast cancer undergoing ultrasound (US)-guided 14G core needle biopsy (CNB) and analyze the differences between underestimated and accurately diagnosed groups. Materials and Methods: Of 1,898 cases of US-guided 14G CNB in our institute, 233 cases were proven to be cancer by surgical pathology. The pathologic results from CNB were invasive ductal carcinoma (IDC) (n=157), ductal carcinoma in situ (DCIS) (n=40), high-risk lesions in 22 cases, and benign in 14 cases. Among high-risk lesions, 7 cases of atypical ductal hyperplasia (ADH) were reported as cancer and 11 cases of DCIS were proven IDC in surgical pathology. Some 29 DCIS cases and 157 cases of IDC were correctly diagnosed with CNB. The clinical and imaging features between underestimated and accurately diagnosed breast cancers were compared. Results: Of 233 cancer cases, underestimation occurred in 18 lesions (7.7%). Among underestimated cancers, CNB proven ADH (n=2) and DCIS (n=11) were diagnosed as IDC and CNB proven ADH (n=5) were diagnosed at DCIS finally. Among the 186 accurately diagnosed group, the CNB results were IDC (n=157) and DCIS (n=29). Comparison of underestimated and accurately diagnosed groups for BI-RADS category, margin of mass on mammography and US and orientation of lesion on US revealed statistically significant differences. Conclusions: Underestimation of US-guided 14G CNB occurred in 7.7% of breast cancers. Between underestimated and correctly diagnosed groups, BI-RADS category, margin of the mass on mammography and margin and orientation of the lesions on US were different.

• Journal of Yeungnam Medical Science
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• 제34권2호
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• pp.247-253
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• 2017

Approximately 10-15% of pheochromocytomas are malignant. There are insufficient histologic criteria for the diagnosis of malignant pheochromocytoma. Thus, the term malignant pheochromocytoma is restricted to tumors with local invasion or distant metastases. We experienced a case of malignant pheochromocytoma recurred with spinal metastasis 4 years after the surgery for huge benign pheochromocytoma. A 68-year-old female was admitted for trunk and back pain. The patient had a history of surgery 4 years ago for a $10.0{\times}9.5{\times}7.5cm$ sized benign pheochromocytoma at the left adrenal gland. A thoracolumbar magnetic resonance imaging showed a tumor in the 7th thoracic vertebral body and a 24-hour urinary norepinephrine increased, suggesting metastatic recurrence of malignant pheochromocytoma. After metastasectomy in the 7th thoracic vertebral body, urine catecholamine was normalized and pain also disappeared. However, a metastatic lesion was found in the paraaortic area on a follow-up abdominal computed tomography scan and an additional metastasectomy was performed. The pathology confirmed the diagnosis of metastatic pheochromocytoma in the paraaortic lymph nodes. She is supposed to be treated with adjuvant iodine 131-meta-iodobenzylguanidine therapy. In our experience, a close follow-up should be considered in patients who had a huge benign pheochromocytoma due to the possibility of malignant metastases.

• Asian Pacific Journal of Cancer Prevention
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• 제16권10호
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• pp.4323-4328
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• 2015

Background: Breast cancer is the most common cause of deaths of cancer in women. Nowadays, following completion of imaging methods, mainly fine needle aspiration biopsy (FNAB) and core biopsy methods have been used for establishing cytopathological diagnosis although discussions regarding superiority continue. Materials and Methods: Those with a complaint of "mass in breast" along with those diagnosed to have a mass as a result of routine physical examination among all patients applying to our clinic between 01.01.2009 and 31.12.2011 were retrospectively assessed. Totals of 146 and 64 patients with complete radiological observation who had undergone FNAB and core biopsies, respectively, were evaluated. Postoperative pathological results of patients of both groups receiving surgery were also taken into consideration. All results were compared in terms of false positivity/negativity, sensitivity/specifity, surgery types and distribution of postoperative results with regard to diagnoses along with those of malignant/benign masses with regard to quadrants determined. Results: Diagnostic malignancy power of mammographic BIRADS classification was 87.3%. However, the value was 75% in the core biopsy group. Sensitivity and specifity following comparison of FNAB and postoperative pathology results of those receiving surgery were 85.4% and 92.9% while they were 93.5% and 100% in the core biopsy group. Diagnostic malignancy power, calculated by determining AUC in ROC analysis, of FNAB was 89.1% while that of core biopsy was 96.7%. Conclusions: It was shown that core biopsy is superior to FNAB in terms of sensitivity, specificity and accurate histopathological classification. However; quick, cheap and basic diagnosis by means of FNAB should not be ignored. Sensitivity of FNAB is rather high in experienced hands and furthermore it would be expected to be lower than with core biopsy.

• 대한기관식도과학회지
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• 제6권1호
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• pp.7-15
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• 2000

Background and Objectives:Submucosal spread of hypopharyngeal canceris frequently incriminated for the high incidence of local recurrence after resection. Although mucosal spread is better detected by means of direct visualization, submucosal spread is better evaluated by using cross-sectional imaging rather than endoscopy. This study was designed to evaluate the efficacy of MRI in diagnosing involvement of inferior margin of hypopharyngeal cancer. Materials and Method : Eight patients with hypopharyngeal cancer underwent MRI prior to surgery. And postoperative histopathopogic involvement of tumor was compared with the preoperative MRI axial scan. Results : In preoperative MRI findings, involvement of pyriform sinus apex was 6 cases(definitive 5 cases, probable 1 cases), that of esophageal inlet was 1 case(probable), that of cervical esophagus was 1 case(probable). In postoperative histopathologic findings, the results were same. Conclusion : MRI evaluation for patient with hypopharyngeal cancer ensures accurate staging and provides essential information about the tumor involvement of inferior margin. And there is needed to be thin section thickness in evaluation of inferior margin of hypopharyngeal cancer.

• 대한방사선기술학회지:방사선기술과학
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• 제44권6호
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• pp.635-643
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• 2021

The results of empirical researches on the diagnosis of lung cancer are insufficient, so it is limited to objectively judge the clinical possibility and utilization according to the accuracy of diagnosis. Thus, this study retrospectively analyzed the lung cancer diagnostic performance of PET-MRI (Positron Emission Tomography-Magnetic Resonance Imaging) by using the decision matrix. This study selected and experimented total 165 patients who received both hematological CEA (Carcinoembryonic Antigen) test and hybrid PET-MRI (¹⁸F-FDG, 5.18 MBq/kg / Body TIM coil. VIVE-Dixon). After setting up the result of CEA (positive:>4 ㎍/ℓ. negative:<2.5㎍/ℓ) as golden data, the lung cancer was found in the image of PET-MRI, and then the SUV_max (positive:>4, negative:<1.5) was measured, and then evaluated the correlation and significance of results of relative diagnostic performance of PET-MRI compared to CEA through the statistical verification (t-test, P>0.05). Through this, the PET-MRI was analyzed as 96.29% of sensitivity, 95.23% of specificity, 3.70% of false negative rate, 4.76% of false positive rate, and 95.75% of accuracy. The false negative rate was 1.06% lower than the false positive rate. The PET-MRI that significant accuracy of diagnosis through high sensitivity and specificity, and low false negative rate and false positive rate of lung cancer, could acquire the fusion image of specialized soft tissue by combining the radio-pharmaceuticals with various sequences, so its clinical value and usefulness are regarded as latently sufficient.

• 대한의용생체공학회:의공학회지
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• 제44권1호
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• pp.11-18
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• 2023

Currently, studies to predict the risk of rectal cancer surgery select MRI image slices based on the clinical experience of surgeons. The purpose of this study is to semi-automatically select and classify 2D MRI image slides to predict the risk of rectal cancer surgery using biomarkers. The data used were retrospectively collected MRI imaging data of 50 patients who underwent laparoscopic surgery for rectal cancer at Gachon University Gil Medical Center. Expert-selected MRI image slices and non-selected slices were screened and radiomics was used to extract a total of 102 features. A total of 16 approaches were used, combining 4 classifiers and 4 feature selection methods. The combination of Random Forest and Ridge performed with a sensitivity of 0.83, a specificity of 0.88, an accuracy of 0.85, and an AUC of 0.89±0.09. Differences between expert-selected MRI image slices and non-selected slices were analyzed by extracting the top five significant features. Selected quantitative features help expedite decision making and improve efficiency in studies to predict risk of rectal cancer surgery.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.374-376
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• 2021

임상에서 암 관련 질병의 확진을 위해 영상장비를 이용한 기초 진단 이후 추가적인 방법으로 생체검사 등을 이용한 병리적 검사가 필수적이다. 이러한 생체검사를 진행하기 위해서는 전문지식을 가진 종양학자, 임상병리사 등의 도움과 최소한의 소요시간은 확진을 위해 반드시 필요하다. 최근 들어, 인공지능을 활용한 암세포의 자동분류가 가능한 시스템 구축에 관련된 연구가 활발하게 진행되고 있다. 하지만, 이전 연구들은 한정된 알고리즘을 기반으로 하여 세포의 종류와 정확도에 한계를 보인다. 본 연구에서 심층 학습의 일종인 합성곱 신경망을 통해 총 4가지의 암세포를 식별하는 방법을 제안한다. 세포 배양을 통해 얻은 광학영상을 OpenCV를 사용하여 세포의 위치 식별 및 이미지 분할과 같은 전처리 수행 후, EfficientNet을 통해 학습하였다. 모델은 EfficientNet을 기준으로 다양한 hyper parameter를 사용하고, InceptionV3을 학습하여 성능을 비교분석 하였다. 그 결과 96.8%의 높은 정확도로 세포를 분류하는 결과를 보였으며, 이러한 분석방법은 암의 확진에 도움이 될 것으로 기대한다.