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Seo JW, Han K, Lee J, Kim EK, Moon HJ, Yoon JH, Park VY, Baek HM, Kwak JY. Application of metabolomics in prediction of lymph node metastasis in papillary thyroid carcinoma. PLoS One 2018; 13:e0193883. [PMID: 29509799 PMCID: PMC5839571 DOI: 10.1371/journal.pone.0193883] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 02/20/2018] [Indexed: 12/26/2022] Open
Abstract
PURPOSE The aim of this study was to find useful metabolites to predict lymph node (LN) metastasis in patients with papillary thyroid cancer (PTC) through a metabolomics approach and investigate the potential role of metabolites as a novel prognostic marker. MATERIALS AND METHODS Fifty-two consecutive patients (median age: 41.5 years, range 15-74 years) were enrolled who underwent total thyroidectomy and central LN dissection with or without lateral LN dissection in Severance Hospital between October 2013 and July 2015. The study specimens were provided by the Severance Hospital Gene Bank, and consisted of PTC from each patient. The specimens were prepared for proton nuclear magnetic resonance (1H-NMR) spectroscopy. Spectral data by 1H-NMR spectroscopy were acquired, processed, and analyzed. Patients were grouped in three ways, according to the presence of LN metastasis, central LN metastasis and lateral LN metastasis. Chi-square test and the student t-test were used to analyze categorical variables and continuous variables, respectively. The Mann-Whitney U test was used for univariate analysis of metabolites. Orthogonal projections to latent structure discriminant analysis (OPLS-DA) was used for multivariate analysis to discriminate metabolic differences between the two groups. RESULTS Among 52 patients, 32 had central LN metastasis and 19 had lateral LN metastasis. No clinical or histopathological characteristic was significantly different for all comparisons. On univariate analysis, no metabolite showed significant difference for all comparisons. On multivariate analysis, OPLS-DA did not discriminate the presence and absence of LN metastasis. Lactate was found to be the most promising metabolite. CONCLUSIONS No metabolite could discriminate the presence of LN metastasis. However, lactate was found to be the most promising metabolite for discrimination. Further studies with larger sample sizes are needed to elucidate significant metabolites which can indicate the presence of LN metastasis in patients with PTC.
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Kim SY, Shin J, Kim DH, Kim EK, Moon HJ, Yoon JH, You JK, Kim MJ. Correlation between electrical conductivity and apparent diffusion coefficient in breast cancer: effect of necrosis on magnetic resonance imaging. Eur Radiol 2018; 28:3204-3214. [DOI: 10.1007/s00330-017-5291-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 12/10/2017] [Accepted: 12/27/2017] [Indexed: 11/28/2022]
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Yoon JH, Kim EK, Kwak JY, Moon HJ. Non-diagnostic thyroid nodules after application of the Bethesda system: a study evaluating the interval for repeat aspiration for non-diagnostic results. Acta Radiol 2018; 59:305-312. [PMID: 28592151 DOI: 10.1177/0284185117715286] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Background The non-diagnostic category of the Bethesda system has a low malignancy rate; nevertheless, repeat ultrasonography-guided fine needle aspiration (US-FNA) is recommended with no consensus for follow-up intervals. Purpose To investigate whether a six-month time interval for repeat US-FNA is appropriate for non-diagnostic thyroid nodules after applying the Bethesda system. Material and Methods From January 2010 to January 2014, 322 thyroid nodules ≥10 mm with non-diagnostic results on initial US-FNA with any follow-up with US or US-FNA were included (mean age = 52.2 years ± 12.4). Clinical and US features were compared according to size change (increase, no change, decrease) and follow-up interval (<6 months and ≥6 months after initial US-FNA), and the minimal time interval observed in nodules with size increase on follow-up. The outcome of non-diagnostic nodules according to follow-up interval and size change were evaluated. Results Of the 322 nodules, 13 (4.0%) were malignant and 309 (96.0%) were benign. None of the 82 nodules with decreased size were malignant and 90.2% nodules with decreased size were found after six months. Of 175 nodules with repeat US-FNA, repeat cytology results did not differ significantly between the groups with follow-up US-FNA before and after six months ( P = 0.337). No significant differences were seen in size or extrathyroidal extension among the 13 malignant nodules according to the six-month interval (all P > 0.05), and no lateral lymph node metastasis was present. Conclusion Repeat US-FNA for initially non-diagnostic thyroid nodules can be performed at a six-month interval after initial procedure without tumor progression.
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Kim J, Kim EK, Kim MJ, Moon HJ, Yoon JH. "Category 4A" microcalcifications: how should this subcategory be applied to microcalcifications seen on mammography? Acta Radiol 2018; 59:147-153. [PMID: 28490180 DOI: 10.1177/0284185117709036] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background The BI-RADS provides descriptors for microcalcifications based on morphology and distribution. However, the descriptor for category 4A microcalcifications is not specified in the 5th BI-RADS nor in the prior editions. Purpose To investigate how the category 4A assessment is applied to suspicious microcalcifications, and the appropriate descriptors for category 4A assessment for microcalcifications seen on mammography. Material and Methods From June 2008 to November 2011, 296 women with 305 suspicious microcalcifications that were assessed as BI-RADS category 4A, who underwent imaging-guided biopsy or surgery, were included. Mammograms were reviewed and imaging features were analyzed according to the morphology and distribution descriptors of the 5th edition of BI-RADS. Pathological results were considered as the reference standard. Positive predictive values were calculated and compared between morphology and distribution descriptors. Results The overall positive predictive value (PPV) of category 4A microcalcifications was 17.7% (54/305). Most common descriptors for category 4A microcalcifications were amorphous morphology (73.1%) and grouped distribution (71.1%). PPVs of individual morphology descriptors were as follows: amorphous = 7.2%; coarse heterogeneous = 12.8%; fine pleomorphic or fine linear/fine linear branching = 91.4% ( P < 0.001). PPVs of distribution descriptors were as follows: regional = 13.2%; grouped = 16.1%; linear/segmental = 54.5% ( P < 0.001). For morphology and distribution descriptors combinations, PPVs for amorphous/regional and amorphous/grouped microcalcifications were 6.8% and 6.9%, while PPVs of other combinations were higher than 10%, respectively. Conclusion Common descriptors used in category 4A assessment for microcalcifications are amorphous morphology and grouped distribution. PPV of amorphous/regional and amorphous/grouped microcalcifications were suitable for category 4A assessment.
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Park VY, Kim EK, Kim MJ, Moon HJ, Yoon JH. Breast magnetic resonance imaging for surveillance of women with a personal history of breast cancer: outcomes stratified by interval between definitive surgery and surveillance MR imaging. BMC Cancer 2018; 18:91. [PMID: 29357842 PMCID: PMC5778805 DOI: 10.1186/s12885-018-3998-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 01/16/2018] [Indexed: 11/17/2022] Open
Abstract
Background Women with a personal history of breast cancer are at increased risk of future breast cancer events, and may benefit from supplemental screening methods that could enhance early detection of subclinical disease. However, current literature on breast magnetic resonance (MR) imaging surveillance is limited. We investigated outcomes of surveillance breast magnetic resonance (MR) imaging in women with a personal history of breast cancer. Methods We reviewed 1053 consecutive breast MR examinations that were performed for surveillance in 1044 women (median age, 53 years; range, 20–85 years) previously treated for breast cancer between August 2014 and February 2016. All patients had previously received supplemental surveillance with ultrasound. Cancer detection rate (CDR), abnormal interpretation rate and characteristics of MR-detected cancers were assessed, including extramammary cancers. We also calculated the PPV1, PPV3, sensitivity and specificity for MR-detected intramammary lesions. Performance statistics were stratified by interval following initial surgery. Results The CDR for MR-detected cancers was 6.7 per 1000 examinations (7 of 1053) and was 3.8 per 1000 examinations (4 of 1053) for intramammary cancers. The overall abnormal interpretation rate was 8.0%, and the abnormal interpretation rate for intramammary lesions was 7.2%. The PPV1, PPV3, sensitivity and specificity for intramammary lesions was 5.3% (4 of 76), 15.8% (3 of 19), 75.0% (3 of 4) and 98.3% (1031 of 1049), respectively. For MR examinations performed ≤36 months after surgery, the overall CDR was 1.4 per 1000 examinations. For MR examinations performed > 36 months after surgery, the overall CDR was 17.4 per 1000 examinations. Conclusions Surveillance breast MR imaging may be considered in women with a history of breast cancer, considering the low abnormal interpretation rate and its high specificity. However, the cancer detection rate was low and implementation may be more effective after more than 3 years after surgery.
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Jung I, Kim MJ, Moon HJ, Yoon JH, Kim EK. Ultrasonography-guided 14-gauge core biopsy of the breast: results of 7 years of experience. Ultrasonography 2018; 37:55-62. [PMID: 28641365 PMCID: PMC5769943 DOI: 10.14366/usg.17028] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 04/28/2017] [Accepted: 05/17/2017] [Indexed: 11/26/2022] Open
Abstract
PURPOSE This study assessed the outcomes of ultrasound (US)-guided core needle biopsies (CNBs) of breast lesions with at least 2 years of follow-up to determine the false-negative rate and to evaluate the diagnostic accuracy of CNB. METHODS We retrospectively analyzed 13,254 consecutive US-guided 14-gauge CNBs for breast lesions. We excluded biopsies if non-malignant biopsy result was not confirmed by surgical excision or US-guided vacuum-assisted biopsy, or fewer than 2 years of follow-up data were available. A total of 4,186 biopsies were excluded, and 9,068 breast masses from 7,039 women were included. The pathologic findings from each CNB were assessed using the standard diagnostic reference, defined based on the results of surgical excision, vacuum-assisted biopsy, or at least 2 years of long-term imaging follow-up. The false-negative rate and underestimation rate were calculated. RESULTS Of the 9,068 CNBs, benign pathology was found in 64.2%, high-risk results in 3.5%, and malignant results in 32.3%. Of the 5,821 benign CNBs, an additional malignancy was found at excision in 63 lesions, leading to a false-negative rate of 2.0% (63 of 3,067). The underestimation rate was 33.6% (111 of 330) for ductal carcinoma in situ and 24.5% (79 of 322) for high-risk results at surgical excision. Most false-negative diagnoses (84.1%, 53 of 63) were recognized through imaging-histology correlations, and immediate rebiopsies were performed. Ten malignancies (15.9%, 10 of 63) had delayed diagnoses and showed progression in follow-up US imaging. CONCLUSION US-guided 14-gauge CNB provided optimal diagnostic information. Imaging-histology correlations and appropriate imaging follow-up should be performed to avoid delayed diagnoses.
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Cho E, Kim EK, Song MK, Yoon JH. Application of Computer-Aided Diagnosis on Breast Ultrasonography: Evaluation of Diagnostic Performances and Agreement of Radiologists According to Different Levels of Experience. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2018; 37:209-216. [PMID: 28762552 DOI: 10.1002/jum.14332] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 04/10/2017] [Indexed: 05/26/2023]
Abstract
OBJECTIVES To investigate the feasibility of a computer-aided diagnosis (CAD) system (S-Detect; Samsung Medison, Co, Ltd, Seoul, Korea) for breast ultrasonography (US), according to radiologists with various degrees of experience in breast imaging. METHODS From December 2015 to March 2016, 119 breast masses in 116 women were included. Ultrasonographic images of the breast masses were retrospectively reviewed and analyzed by 2 radiologists specializing in breast imaging (7 and 1 years of experience, respectively) and S-Detect, according to the individual ultrasonographic descriptors from the fifth edition of the American College of Radiology Breast Imaging Reporting and Data System and final assessment categories. Diagnostic performance and the interobserver agreement among the radiologists and S-Detect was calculated and compared. RESULTS Among the 119 breast masses, 54 (45.4%) were malignant, and 65 (54.6%) were benign. Compared to the radiologists, S-Detect had higher specificity (90.8% compared to 49.2% and 55.4%) and positive predictive value (PPV; 86.7% compared to 60.7% and 63.8%) (all P < .001). Both radiologists had significantly improved specificity, PPV, and accuracy when using S-Detect compared to US alone (all P < .001). The area under the receiving operating characteristic curves of the both radiologists did not show a significant improvement when applying S-Detect compared to US alone (all P > .05). Moderate agreement was seen in final assessments made by each radiologist and S-Detect (κ = 0.40 and 0.45, respectively). CONCLUSIONS S-Detect is a clinically feasible diagnostic tool that can be used to improve the specificity, PPV, and accuracy of breast US, with a moderate degree of agreement in final assessments, regardless of the experience of the radiologist.
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Eom HD, Yoon JH, Kim JJ, Eum SJ, Park DH, Shin JP. Roth Spots and Panuveitis in a Patient with Infectious Mononucleosis. JOURNAL OF THE KOREAN OPHTHALMOLOGICAL SOCIETY 2018. [DOI: 10.3341/jkos.2018.59.6.594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Yoon JH, Park DH, Shin JP. A Case of Polypoidal Choroidal Vasculopathy and Serous Retinal Detachment in a Bilateral Dome-shaped Macula. JOURNAL OF THE KOREAN OPHTHALMOLOGICAL SOCIETY 2018. [DOI: 10.3341/jkos.2018.59.7.680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Youn I, Yoon JH, Youk JH, Moon HJ, Kim MJ, Kim EK, You JK. Necessity of Axillary Scanning After Negative Finding on Both Mammography and Subsequent Breast Ultrasound. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:71-77. [PMID: 29033094 DOI: 10.1016/j.ultrasmedbio.2017.08.1888] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Revised: 08/16/2017] [Accepted: 08/29/2017] [Indexed: 06/07/2023]
Abstract
The purpose of our study was to assess the cancer detection rate and positive predictive value (PPV) for incidentally detected abnormal axillary lymph nodes with negative mammography and subsequent breast ultrasound (US). We included 7039 screened patients (mean age, 52 y) from January 2012 to March 2015 with negative mammography and subsequent breast US results. In two patients with positive lymph nodes, neither were from breast malignancy. The calculated cancer detection rate, PPV for biopsy and axillary biopsy rate was 0.3 per 1000 axillary US, 14.3% and 0.2%. Cancer rates for patients with a family or personal operation history, with cancer history and with no family/operation/cancer history were 0%, 0.1% and 0.2%, respectively. Our results indicate that the cancer detection rate and PPV for US were too low to recommend routine axillary scanning including screening breast US in patients with negative mammography and subsequent breast US, especially with no history of any cancers.
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Yoon JH, Park DH, Kim DW. Long-term Changes in the Peripapillary RNFL and Macular GCIPL Thicknesses after Panretinal Photocoagulation in Diabetic Retinopathy Patients. JOURNAL OF THE KOREAN OPHTHALMOLOGICAL SOCIETY 2018. [DOI: 10.3341/jkos.2018.59.10.938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Acharya S, Adamová D, Adolfsson J, Aggarwal MM, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahn SU, Aiola S, Akindinov A, Al-Turany M, Alam SN, Albuquerque DSD, Aleksandrov D, Alessandro B, Alfaro Molina R, Ali Y, Alici A, Alkin A, Alme J, Alt T, Altenkamper L, Altsybeev I, Alves Garcia Prado C, Andrei C, Andreou D, Andrews HA, Andronic A, Anguelov V, Anson C, Antičić T, Antinori F, Antonioli P, Anwar R, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arnold OW, Arsene IC, Arslandok M, Audurier B, Augustinus A, Averbeck R, Azmi MD, Badalà A, Baek YW, Bagnasco S, Bailhache R, Bala R, Baldisseri A, Ball M, Baral RC, Barbano AM, Barbera R, Barile F, Barioglio L, Barnaföldi GG, Barnby LS, Barret V, Bartalini P, Barth K, Bartsch E, Bastid N, Basu S, Batigne G, Batyunya B, Batzing PC, Bazo Alba JL, Bearden IG, Beck H, Bedda C, Behera NK, Belikov I, Bellini F, Bello Martinez H, Bellwied R, Beltran LGE, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berenyi D, Bertens RA, Berzano D, Betev L, Bhasin A, Bhat IR, Bhattacharjee B, Bhom J, Bianchi A, Bianchi L, Bianchi N, Bianchin C, Bielčík J, Bielčíková J, Bilandzic A, Biro G, Biswas R, Biswas S, Blair JT, Blau D, Blume C, Boca G, Bock F, Bogdanov A, Boldizsár L, Bombara M, Bonomi G, Bonora M, Book J, Borel H, Borissov A, Borri M, Botta E, Bourjau C, Bratrud L, Braun-Munzinger P, Bregant M, Broker TA, Broz M, Brucken EJ, Bruna E, Bruno GE, Budnikov D, Buesching H, Bufalino S, Buhler P, Buncic P, Busch O, Buthelezi Z, Butt JB, Buxton JT, Cabala J, Caffarri D, Caines H, Caliva A, Calvo Villar E, Camerini P, Capon AA, Carena F, Carena W, Carnesecchi F, Castillo Castellanos J, Castro AJ, Casula EAR, Ceballos Sanchez C, Chandra S, Chang B, Chang W, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chauvin A, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Cho S, Chochula P, Chojnacki M, Choudhury S, Chowdhury T, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Chung SU, Cicalo C, Cifarelli L, Cindolo F, Cleymans J, Colamaria F, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contreras JG, Cormier TM, Corrales Morales Y, Cortés Maldonado I, Cortese P, Cosentino MR, Costa F, Costanza S, Crkovská J, Crochet P, Cuautle E, Cunqueiro L, Dahms T, Dainese A, Danisch MC, Danu A, Das D, Das I, Das S, Dash A, Dash S, De S, De Caro A, de Cataldo G, de Conti C, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Pasquale S, De Souza RD, Degenhardt HF, Deisting A, Deloff A, Deplano C, Dhankher P, Di Bari D, Di Mauro A, Di Nezza P, Di Ruzza B, Diaz Corchero MA, Dietel T, Dillenseger P, Ding Y, Divià R, Djuvsland Ø, Dobrin A, Domenicis Gimenez D, Dönigus B, Dordic O, Doremalen LVR, Dubey AK, Dubla A, Ducroux L, Dudi S, Duggal AK, Dukhishyam M, Dupieux P, Ehlers RJ, Elia D, Endress E, Engel H, Epple E, Erazmus B, Erhardt F, Espagnon B, Eulisse G, Eum J, Evans D, Evdokimov S, Fabbietti L, Faivre J, Fantoni A, Fasel M, Feldkamp L, Feliciello A, Feofilov G, Fernández Téllez A, Ferreiro EG, Ferretti A, Festanti A, Feuillard VJG, Figiel J, Figueredo MAS, Filchagin S, Finogeev D, Fionda FM, Floris M, Foertsch S, Foka P, Fokin S, Fragiacomo E, Francescon A, Francisco A, Frankenfeld U, Fronze GG, Fuchs U, Furget C, Furs A, Fusco Girard M, Gaardhøje JJ, Gagliardi M, Gago AM, Gajdosova K, Gallio M, Galvan CD, Ganoti P, Garabatos C, Garcia-Solis E, Garg K, Gargiulo C, Gasik P, Gauger EF, Gay Ducati MB, Germain M, Ghosh J, Ghosh P, Ghosh SK, Gianotti P, Giubellino P, Giubilato P, Gladysz-Dziadus E, Glässel P, Goméz Coral DM, Gomez Ramirez A, Gonzalez AS, Gonzalez V, González-Zamora P, Gorbunov S, Görlich L, Gotovac S, Grabski V, Graczykowski LK, Graham KL, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan A, Grigoryan S, Gronefeld JM, Grosa F, Grosse-Oetringhaus JF, Grosso R, Guber F, Guernane R, Guerzoni B, Gulbrandsen K, Gunji T, Gupta A, Gupta R, Guzman IB, Haake R, Hadjidakis C, Hamagaki H, Hamar G, Hamon JC, Haque MR, Harris JW, Harton A, Hassan H, Hatzifotiadou D, Hayashi S, Heckel ST, Hellbär E, Helstrup H, Herghelegiu A, Hernandez EG, Herrera Corral G, Herrmann F, Hess BA, Hetland KF, Hillemanns H, Hills C, Hippolyte B, Hohlweger B, Horak D, Hornung S, Hosokawa R, Hristov P, Hughes C, Humanic TJ, Hussain N, Hussain T, Hutter D, Hwang DS, Iga Buitron SA, Ilkaev R, Inaba M, Ippolitov M, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jacak B, Jacazio N, Jacobs PM, Jadhav MB, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Janik MA, Jayarathna PHSY, Jena C, Jercic M, Jimenez Bustamante RT, Jones PG, Jusko A, Kalinak P, Kalweit A, Kang JH, Kaplin V, Kar S, Karasu Uysal A, Karavichev O, Karavicheva T, Karayan L, Karczmarczyk P, Karpechev E, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khabanova Z, Khan P, Khan SA, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kielbowicz MM, Kileng B, Kim B, Kim D, Kim DJ, Kim H, Kim JS, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kiss G, Klay JL, Klein C, Klein J, Klein-Bösing C, Klewin S, Kluge A, Knichel ML, Knospe AG, Kobdaj C, Kofarago M, Köhler MK, Kollegger T, Kondratiev V, Kondratyeva N, Kondratyuk E, Konevskikh A, Konyushikhin M, Kopcik M, Kour M, Kouzinopoulos C, Kovalenko O, Kovalenko V, Kowalski M, Koyithatta Meethaleveedu G, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Kryshen E, Krzewicki M, Kubera AM, Kučera V, Kuhn C, Kuijer PG, Kumar A, Kumar J, Kumar L, Kumar S, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kweon MJ, Kwon Y, La Pointe SL, La Rocca P, Lagana Fernandes C, Lai YS, Lakomov I, Langoy R, Lapidus K, Lara C, Lardeux A, Lattuca A, Laudi E, Lavicka R, Lea R, Leardini L, Lee S, Lehas F, Lehner S, Lehrbach J, Lemmon RC, Leogrande E, León Monzón I, Lévai P, Li X, Lien J, Lietava R, Lim B, Lindal S, Lindenstruth V, Lindsay SW, Lippmann C, Lisa MA, Litichevskyi V, Llope WJ, Lodato DF, Loenne PI, Loginov V, Loizides C, Loncar P, Lopez X, López Torres E, Lowe A, Luettig P, Luhder JR, Lunardon M, Luparello G, Lupi M, Lutz TH, Maevskaya A, Mager M, Mahmood SM, Maire A, Majka RD, Malaev M, Malinina L, Mal'Kevich D, Malzacher P, Mamonov A, Manko V, Manso F, Manzari V, Mao Y, Marchisone M, Mareš J, Margagliotti GV, Margotti A, Margutti J, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martinez JAL, Martínez MI, Martínez García G, Martinez Pedreira M, Masciocchi S, Masera M, Masoni A, Masson E, Mastroserio A, Mathis AM, Matuoka PFT, Matyja A, Mayer C, Mazer J, Mazzilli M, Mazzoni MA, Meddi F, Melikyan Y, Menchaca-Rocha A, Meninno E, Mercado Pérez J, Meres M, Mhlanga S, Miake Y, Mieskolainen MM, Mihaylov DL, Mikhaylov K, Mischke A, Mishra AN, Miśkowiec D, Mitra J, Mitu CM, Mohammadi N, Mohanty AP, Mohanty B, Mohisin Khan M, Montes E, Moreira De Godoy DA, Moreno LAP, Moretto S, Morreale A, Morsch A, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mukherjee M, Mulligan JD, Munhoz MG, Münning K, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myers CJ, Myrcha JW, Nag D, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Narayan A, Naru MU, Natal da Luz H, Nattrass C, Navarro SR, Nayak K, Nayak R, Nayak TK, Nazarenko S, Negrao De Oliveira RA, Nellen L, Nesbo SV, Ng F, Nicassio M, Niculescu M, Niedziela J, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Nomokonov P, Nooren G, Noris JCC, Norman J, Nyanin A, Nystrand J, Oeschler H, Ohlson A, Okubo T, Olah L, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onderwaater J, Oppedisano C, Orava R, Oravec M, Ortiz Velasquez A, Oskarsson A, Otwinowski J, Oyama K, Pachmayer Y, Pacik V, Pagano D, Paić G, Palni P, Pan J, Pandey AK, Panebianco S, Papikyan V, Pareek P, Park J, Parmar S, Passfeld A, Pathak SP, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez Lezama E, Peskov V, Pestov Y, Petráček V, Petrov V, Petrovici M, Petta C, Pezzi RP, Piano S, Pikna M, Pillot P, Pimentel LODL, Pinazza O, Pinsky L, Piyarathna DB, Płoskoń M, Planinic M, Pliquett F, Pluta J, Pochybova S, Podesta-Lerma PLM, Poghosyan MG, Polichtchouk B, Poljak N, Poonsawat W, Pop A, Poppenborg H, Porteboeuf-Houssais S, Pozdniakov V, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Punin V, Putschke J, Raha S, Rajput S, Rak J, Rakotozafindrabe A, Ramello L, Rami F, Rana DB, Raniwala R, Raniwala S, Räsänen SS, Rascanu BT, Rathee D, Ratza V, Ravasenga I, Read KF, Redlich K, Rehman A, Reichelt P, Reidt F, Ren X, Renfordt R, Reshetin A, Reygers K, Riabov V, Richert T, Richter M, Riedler P, Riegler W, Riggi F, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogochaya E, Rohr D, Röhrich D, Rokita PS, Ronchetti F, Rosas ED, Rosnet P, Rossi A, Rotondi A, Roukoutakis F, Roy C, Roy P, Rubio Montero AJ, Rueda OV, Rui R, Rumyantsev B, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Saarinen S, Sadhu S, Sadovsky S, Šafařík K, Saha SK, Sahlmuller B, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu PK, Saini J, Sakai S, Saleh MA, Salzwedel J, Sambyal S, Samsonov V, Sandoval A, Sarkar A, Sarkar D, Sarkar N, Sarma P, Sas MHP, Scapparone E, Scarlassara F, Schaefer B, Scheid HS, Schiaua C, Schicker R, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Šefčík M, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senosi K, Senyukov S, Serradilla E, Sett P, Sevcenco A, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma A, Sharma M, Sharma M, Sharma N, Sheikh AI, Shigaki K, Shirinkin S, Shou Q, Shtejer K, Sibiriak Y, Siddhanta S, Sielewicz KM, Siemiarczuk T, Silaeva S, Silvermyr D, Simatovic G, Simonetti G, Singaraju R, Singh R, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Slupecki M, Smirnov N, Snellings RJM, Snellman TW, Song J, Song M, Soramel F, Sorensen S, Sozzi F, Sputowska I, Stachel J, Stan I, Stankus P, Stenlund E, Stocco D, Storetvedt MM, Strmen P, Suaide AAP, Sugitate T, Suire C, Suleymanov M, Suljic M, Sultanov R, Šumbera M, Sumowidagdo S, Suzuki K, Swain S, Szabo A, Szarka I, Tabassam U, Takahashi J, Tambave GJ, Tanaka N, Tarhini M, Tariq M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terasaki K, Terrevoli C, Teyssier B, Thakur D, Thakur S, Thomas D, Thoresen F, Tieulent R, Tikhonov A, Timmins AR, Toia A, Toppi M, Torres SR, Tripathy S, Trogolo S, Trombetta G, Tropp L, Trubnikov V, Trzaska WH, Trzeciak BA, Tsuji T, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Umaka EN, Uras A, Usai GL, Utrobicic A, Vala M, Van Der Maarel J, Van Hoorne JW, van Leeuwen M, Vanat T, Vande Vyvre P, Varga D, Vargas A, Vargyas M, Varma R, Vasileiou M, Vasiliev A, Vauthier A, Vázquez Doce O, Vechernin V, Veen AM, Velure A, Vercellin E, Vergara Limón S, Vernet R, Vértesi R, Vickovic L, Vigolo S, Viinikainen J, Vilakazi Z, Villalobos Baillie O, Villatoro Tello A, Vinogradov A, Vinogradov L, Virgili T, Vislavicius V, Vodopyanov A, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vranic D, Vrláková J, Wagner B, Wang H, Wang M, Watanabe D, Watanabe Y, Weber M, Weber SG, Weiser DF, Wenzel SC, Wessels JP, Westerhoff U, Whitehead AM, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Williams MCS, Willsher E, Windelband B, Witt WE, Xu R, Yalcin S, Yamakawa K, Yang P, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yun E, Yurchenko V, Zaccolo V, Zaman A, Zampolli C, Zanoli HJC, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zbroszczyk H, Zhalov M, Zhang H, Zhang X, Zhang Y, Zhang C, Zhang Z, Zhao C, Zhigareva N, Zhou D, Zhou Y, Zhou Z, Zhu H, Zhu J, Zhu Y, Zichichi A, Zimmermann MB, Zinovjev G, Zmeskal J, Zou S. J/ψ Elliptic Flow in Pb-Pb Collisions at sqrt[s_{NN}]=5.02 TeV. PHYSICAL REVIEW LETTERS 2017; 119:242301. [PMID: 29286736 DOI: 10.1103/physrevlett.119.242301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Indexed: 06/07/2023]
Abstract
We report a precise measurement of the J/ψ elliptic flow in Pb-Pb collisions at sqrt[s_{NN}]=5.02 TeV with the ALICE detector at the LHC. The J/ψ mesons are reconstructed at midrapidity (|y|<0.9) in the dielectron decay channel and at forward rapidity (2.5<y<4.0) in the dimuon channel, both down to zero transverse momentum. At forward rapidity, the elliptic flow v_{2} of the J/ψ is studied as a function of the transverse momentum and centrality. A positive v_{2} is observed in the transverse momentum range 2<p_{T}<8 GeV/c in the three centrality classes studied and confirms with higher statistics our earlier results at sqrt[s_{NN}]=2.76 TeV in semicentral collisions. At midrapidity, the J/ψ v_{2} is investigated as a function of the transverse momentum in semicentral collisions and found to be in agreement with the measurements at forward rapidity. These results are compared to transport model calculations. The comparison supports the idea that at low p_{T} the elliptic flow of the J/ψ originates from the thermalization of charm quarks in the deconfined medium but suggests that additional mechanisms might be missing in the models.
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Cho E, Kim EK, Moon HJ, Yoon JH, Park VY, Kwak JY. High suspicion US pattern on the ATA guidelines, not cytologic diagnosis, may be a predicting marker of lymph node metastasis in patients with classical papillary thyroid carcinoma. Am J Surg 2017; 216:562-566. [PMID: 29268941 DOI: 10.1016/j.amjsurg.2017.12.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 11/16/2017] [Accepted: 12/05/2017] [Indexed: 01/24/2023]
Abstract
BACKGROUND To evaluate the utility of ultrasound (US) patterns based on the 2015 American Thyroid Association (ATA) guidelines and cytologic diagnosis of the Bethesda System for Reporting Thyroid Cytopathology as predicting markers for lymph node metastasis (LNM) in classical papillary thyroid carcinoma (PTC). METHODS A retrospective analysis of 657 patients with classical PTC who underwent ultrasound-guided fine-needle aspiration (US-FNA) and surgery were included in this study. The associations between LNM and the US features or the Bethesda System for Reporting Thyroid Cytopathology were evaluated. RESULTS Multivariate logistic regression analysis showed that the high suspicion US pattern was independently associated with LNM (odds ratio = 3.081; 95% confidence interval = 1.515-6.262; P = .002). And the Bethesda category was not significantly associated with LNM (P = .056). CONCLUSIONS The high suspicion US pattern of the 2015 ATA guidelines, not cytologic diagnosis, could be a predicting marker of LNM in patients with classical PTC.
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Adam J, Adamová D, Aggarwal MM, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Aiola S, Akindinov A, Alam SN, Albuquerque DSD, Aleksandrov D, Alessandro B, Alexandre D, Alfaro Molina R, Alici A, Alkin A, Alme J, Alt T, Altinpinar S, Altsybeev I, Alves Garcia Prado C, An M, Andrei C, Andrews HA, Andronic A, Anguelov V, Anson C, Antičić T, Antinori F, Antonioli P, Anwar R, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arnold OW, Arsene IC, Arslandok M, Audurier B, Augustinus A, Averbeck R, Azmi MD, Badalà A, Baek YW, Bagnasco S, Bailhache R, Bala R, Balasubramanian S, Baldisseri A, Baral RC, Barbano AM, Barbera R, Barile F, Barnaföldi GG, Barnby LS, Barret V, Bartalini P, Barth K, Bartke J, Bartsch E, Basile M, Bastid N, Basu S, Bathen B, Batigne G, Batista Camejo A, Batyunya B, Batzing PC, Bearden IG, Beck H, Bedda C, Behera NK, Belikov I, Bellini F, Bello Martinez H, Bellwied R, Beltran LGE, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berenyi D, 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G, Lupi M, Lutz TH, Maevskaya A, Mager M, Mahajan S, Mahmood SM, Maire A, Majka RD, Malaev M, Maldonado Cervantes I, Malinina L, Mal'Kevich D, Malzacher P, Mamonov A, Manko V, Manso F, Manzari V, Mao Y, Marchisone M, Mareš J, Margagliotti GV, Margotti A, Margutti J, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martínez MI, Martínez García G, Martinez Pedreira M, Mas A, Masciocchi S, Masera M, Masoni A, Mastroserio A, Matyja A, Mayer C, Mazer J, Mazzilli M, Mazzoni MA, Meddi F, Melikyan Y, Menchaca-Rocha A, Meninno E, Mercado Pérez J, Meres M, Mhlanga S, Miake Y, Mieskolainen MM, Mikhaylov K, Milano L, Milosevic J, Mischke A, Mishra AN, Mishra T, Miśkowiec D, Mitra J, Mitu CM, Mohammadi N, Mohanty B, Molnar L, Montes E, Moreira De Godoy DA, Moreno LAP, Moretto S, Morreale A, Morsch A, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mukherjee M, Mulligan JD, Munhoz MG, Münning K, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myers CJ, Naik B, Nair R, Nandi BK, Nania R, 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Poghosyan MG, Polichtchouk B, Poljak N, Poonsawat W, Pop A, Poppenborg H, Porteboeuf-Houssais S, Porter J, Pospisil J, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Puddu G, Pujahari P, Punin V, Putschke J, Qvigstad H, Rachevski A, Raha S, Rajput S, Rak J, Rakotozafindrabe A, Ramello L, Rami F, Rana DB, Raniwala R, Raniwala S, Räsänen SS, Rascanu BT, Rathee D, Ratza V, Ravasenga I, Read KF, Redlich K, Rehman A, Reichelt P, Reidt F, Ren X, Renfordt R, Reolon AR, Reshetin A, Reygers K, Riabov V, Ricci RA, Richert T, Richter M, Riedler P, Riegler W, Riggi F, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogochaya E, Rohr D, Röhrich D, Ronchetti F, Ronflette L, Rosnet P, Rossi A, Roukoutakis F, Roy A, Roy C, Roy P, Rubio Montero AJ, Rui R, Russo R, Ryabinkin E, Ryabov Y, Rybicki A, Saarinen S, Sadhu S, Sadovsky S, Šafařík K, Sahlmuller B, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu PK, Saini J, Sakai S, Saleh MA, Salzwedel J, Sambyal S, Samsonov V, Sandoval A, Sano M, Sarkar D, Sarkar N, Sarma P, Sas MHP, Scapparone E, Scarlassara F, Scharenberg RP, Schiaua C, Schicker R, Schmidt C, Schmidt HR, Schmidt M, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Scott R, Šefčík M, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senosi K, Senyukov S, Serradilla E, Sett P, Sevcenco A, Shabanov A, Shabetai A, Shadura O, Shahoyan R, Shangaraev A, Sharma A, Sharma A, Sharma M, Sharma M, Sharma N, Sheikh AI, Shigaki K, Shou Q, Shtejer K, Sibiriak Y, Siddhanta S, Sielewicz KM, Siemiarczuk T, Silvermyr D, Silvestre C, Simatovic G, Simonetti G, Singaraju R, Singh R, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Slupecki M, Smirnov N, Snellings RJM, Snellman TW, Song J, Song M, Song Z, Soramel F, Sorensen S, Sozzi F, Spiriti E, Sputowska I, Srivastava BK, Stachel J, Stan I, Stankus P, Stenlund E, Steyn G, Stiller JH, Stocco D, Strmen P, Suaide AAP, Sugitate T, Suire C, Suleymanov M, Suljic M, Sultanov R, Šumbera M, Sumowidagdo S, Suzuki K, Swain S, Szabo A, Szarka I, Szczepankiewicz A, Szymanski M, Tabassam U, Takahashi J, Tambave GJ, Tanaka N, Tarhini M, Tariq M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terasaki K, Terrevoli C, Teyssier B, Thakur D, Thomas D, Tieulent R, Tikhonov A, Timmins AR, Toia A, Tripathy S, Trogolo S, Trombetta G, Trubnikov V, Trzaska WH, Tsuji T, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Umaka EN, Uras A, Usai GL, Utrobicic A, Vala M, Van Der Maarel J, Van Hoorne JW, van Leeuwen M, Vanat T, Vande Vyvre P, Varga D, Vargas A, Vargyas M, Varma R, Vasileiou M, Vasiliev A, Vauthier A, Vázquez Doce O, Vechernin V, Veen AM, Velure A, Vercellin E, Vergara Limón S, Vernet R, Vértesi R, Vickovic L, Vigolo S, Viinikainen J, Vilakazi Z, Villalobos Baillie O, Villatoro Tello A, Vinogradov A, Vinogradov L, Virgili T, Vislavicius V, Vodopyanov A, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vranic D, Vrláková J, Wagner B, Wagner J, Wang H, Wang M, Watanabe D, Watanabe Y, Weber M, Weber SG, Weiser DF, Wessels JP, Westerhoff U, Whitehead AM, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Williams MCS, Windelband B, Winn M, Yalcin S, Yang P, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yurchenko V, Zaccolo V, Zaman A, Zampolli C, Zanoli HJC, Zaporozhets S, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zbroszczyk H, Zhalov M, Zhang H, Zhang X, Zhang Y, Zhang C, Zhang Z, Zhao C, Zhigareva N, Zhou D, Zhou Y, Zhou Z, Zhu H, Zhu J, Zichichi A, Zimmermann A, Zimmermann MB, Zinovjev G, Zmeskal J. Anomalous Evolution of the Near-Side Jet Peak Shape in Pb-Pb Collisions at sqrt[s_{NN}]=2.76 TeV. PHYSICAL REVIEW LETTERS 2017; 119:102301. [PMID: 28949169 DOI: 10.1103/physrevlett.119.102301] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Indexed: 06/07/2023]
Abstract
The measurement of two-particle angular correlations is a powerful tool to study jet quenching in a p_{T} region inaccessible by direct jet identification. In these measurements pseudorapidity (Δη) and azimuthal (Δφ) differences are used to extract the shape of the near-side peak formed by particles associated with a higher p_{T} trigger particle (1<p_{T,trig}<8 GeV/c). A combined fit of the near-side peak and long-range correlations is applied to the data allowing the extraction of the centrality evolution of the peak shape in Pb-Pb collisions at sqrt[s_{NN}]=2.76 TeV. A significant broadening of the peak in the Δη direction at low p_{T} is found from peripheral to central collisions, which vanishes above 4 GeV/c, while in the Δφ direction the peak is almost independent of centrality. For the 10% most central collisions and 1<p_{T,assoc}<2 GeV/c, 1<p_{T,trig}<3 GeV/c a novel feature is observed: a depletion develops around the center of the peak. The results are compared to pp collisions at the same center of mass energy and ampt model simulations. The comparison to the investigated models suggests that the broadening and the development of the depletion is connected to the strength of radial and longitudinal flow.
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Park VY, Kim EK, Moon HJ, Yoon JH, Kim MJ. Evaluating imaging-pathology concordance and discordance after ultrasound-guided breast biopsy. Ultrasonography 2017; 37:107-120. [PMID: 29169231 PMCID: PMC5885481 DOI: 10.14366/usg.17049] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 08/17/2017] [Accepted: 08/19/2017] [Indexed: 11/04/2022] Open
Abstract
Ultrasound (US)-guided breast biopsy has become the main method for diagnosing breast pathology, and it has a high diagnostic accuracy, approaching that of open surgical biopsy. However, methods for confirming adequate lesion retrieval after US-guided biopsy are relatively limited and false-negative results are unavoidable. Determining imaging-pathology concordance after US-guided biopsy is essential for validating the biopsy result and providing appropriate management. In this review article, we briefly present the results of US-guided breast biopsy; describe general aspects to consider when establishing imaging-pathology concordance; and review the various categories of imaging-pathology correlations and corresponding management strategies.
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Park S, Koo JS, Kim GM, Sohn J, Kim SI, Cho YU, Park BW, Park VY, Yoon JH, Moon HJ, Kim MJ, Kim EK. Feasibility of Charcoal Tattooing of Cytology-Proven Metastatic Axillary Lymph Node at Diagnosis and Sentinel Lymph Node Biopsy after Neoadjuvant Chemotherapy in Breast Cancer Patients. Cancer Res Treat 2017; 50:801-812. [PMID: 28814071 PMCID: PMC6056962 DOI: 10.4143/crt.2017.210] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 08/07/2017] [Indexed: 01/17/2023] Open
Abstract
Purpose Sentinel lymph node biopsy (SLNB) can be performed when node-positive disease is converted to node-negative status after neoadjuvant chemotherapy (NCT). Tattooing nodes might improve accuracy but supportive data are limited. This study aimed to investigate the feasibility of charcoal tattooing metastatic axillary lymph node (ALN) at presentation followed by SLNB after NCT in breast cancers. Materials and Methods Twenty patientswith cytology-proven node metastases prospectively underwent charcoal tattooing at diagnosis. SLNB using dual tracers and axillary surgery after NCT were then performed. The detection rate of tattooed node and diagnostic performance of SLNB were analyzed. Results All patients underwent charcoal tattooingwithout significant morbidity. Sentinel and tattooed nodes could be detected during surgery after NCT. Nodal pathologic complete response was achieved in 10 patients. Overall sensitivity, false-negative rate (FNR), negative predictive value, and accuracy of hot/blue SLNB were 80.0%, 20.0%, 83.3%, and 90.0%, respectively. Retrieving more nodes and favorable nodal response were associated with improved performance. The best accuracy was observed when excised tattooed node was calculated together (FNR, 0.0%). Cold/non-blue tattooed nodes of five patients were removed during non-sentinel axillary surgery but clinicopathological parameters did not differ compared to patients with hot/blue tattooed node detected during SLNB, suggesting the importance of the tattooing procedure itself to improve performance. Conclusion Charcoal tattooing of cytology-confirmed metastatic ALN at presentation is technically feasible and does not limit SLNB after NCT. The tattooing procedure without additional preoperative localization is advantageous for improving the diagnostic performance of SLNB in this setting.
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Lee JH, Han K, Kim EK, Moon HJ, Yoon JH, Park VY, Kwak JY. Validation of the modified 4-tiered categorization system through comparison with the 5-tiered categorization system of the 2015 American Thyroid Association guidelines for classifying small thyroid nodules on ultrasound. Head Neck 2017; 39:2208-2215. [PMID: 28795453 DOI: 10.1002/hed.24888] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2016] [Revised: 04/20/2017] [Accepted: 06/15/2017] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The purpose of this study was to validate the modified 4-tiered categorization system and to compare stratification of malignancy risk in small thyroid nodules with the 2015 American Thyroid Association (ATA) management guidelines. METHODS From January 2015 to December 2015, 737 thyroid nodules measured ≥ 1 cm and <2 cm were included in this study. Each nodule was assigned a category with the ultrasonographic patterns described by the 2015 ATA guidelines. RESULTS On univariate analysis, there was no difference of malignancy risk between low suspicion and very low suspicion nodules (P = .584). Therefore, we suggested a modified 4-tiered categorization, which combines very low suspicion and low suspicion nodules into the "revised low suspicion" category. Specificity, positive predictive value (PPV) and accuracy were higher with the modified 4-tiered categorization system (P < .001 for all). CONCLUSION The modified 4-tiered categorization system allows more efficient management with better diagnostic performance than the 2015 ATA categorization system in small thyroid nodules.
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Hwang H, Park S, Koo JS, Park HS, Kim SI, Cho YU, Park BW, Yoon JH, Kim MJ, Kim EK. Factors predictive of occult nipple-areolar complex involvement in patients with carcinoma in situ of the breast. J Surg Oncol 2017; 116:1046-1055. [DOI: 10.1002/jso.24768] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2017] [Accepted: 06/26/2017] [Indexed: 12/17/2022]
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Lee JH, Han K, Kim EK, Moon HJ, Yoon JH, Park VY, Kwak JY. Risk Stratification of Thyroid Nodules With Atypia of Undetermined Significance/Follicular Lesion of Undetermined Significance (AUS/FLUS) Cytology Using Ultrasonography Patterns Defined by the 2015 ATA Guidelines. Ann Otol Rhinol Laryngol 2017; 126:625-633. [PMID: 28719972 DOI: 10.1177/0003489417719472] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
PURPOSE The purpose of this study was to evaluate the predictive value of ultrasonography (US) patterns based on the 2015 American Thyroid Association (ATA) guidelines for malignancy in atypia of undetermined significance or follicular lesion of undetermined significance (AUS/FLUS) nodules. METHODS From January 2014 to August 2015, 133 thyroid nodules that were initially diagnosed as AUS/FLUS on fine needle aspiration (FNA) were included in this study. Each nodule was assigned a category with US patterns defined by the ATA guidelines. Clinical characteristics and US patterns were compared between the benign and malignant nodules, and malignancy rates were calculated according to the ATA guidelines. RESULTS The malignancy rate in the very low suspicion group was 0.0% in AUS/FLUS nodules. When applying the ATA guidelines, significant differences existed for US patterns between the benign and malignant nodules in the AUS group ( P = .032) but not the FLUS group ( P = .168). CONCLUSIONS Ultrasonography patterns by the 2015 ATA guidelines can provide risk stratification for nodules with AUS cytology but not for ones with FLUS cytology. For nodules with AUS/FLUS cytology with the very low suspicion pattern of the ATA guidelines, follow-up US might be recommended instead of repeat FNA.
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Chae IH, Kim EK, Moon HJ, Yoon JH, Park VY, Kwak JY. Ultrasound-guided fine needle aspiration versus core needle biopsy: comparison of post-biopsy hematoma rates and risk factors. Endocrine 2017; 57:108-114. [PMID: 28508192 DOI: 10.1007/s12020-017-1319-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 05/01/2017] [Indexed: 02/08/2023]
Abstract
PURPOSE To compare post-biopsy hematoma rates between ultrasound guided-fine needle aspiration and ultrasound guided-core needle biopsy, and to investigate risk factors for post-biopsy hematoma. METHODS A total of 5304 thyroid nodules which underwent ultrasound guided biopsy were included in this retrospective study. We compared clinical and US features between patients with and without post-biopsy hematoma. Associations between these features and post-biopsy hematoma were analyzed. RESULTS Post-biopsy hematoma rate was 0.8% (43/5121) for ultrasound guided-fine needle aspiration and 4.9% (9/183) for ultrasound guided-core needle biopsy (P < 0.001). For ultrasound guided-fine needle aspiration, gender, age, size, presence of vascularity, and suspicious US features were not associated with post-biopsy hematoma according to experience level. Post-biopsy hematoma occurred significantly more with ultrasound guided-core needle biopsy (9/179, 5.0%) than with ultrasound guided-fine needle aspiration (9/1138, 0.8%) (P < 0.001) in experienced performers and ultrasound guided-core needle biopsy was the only significant risk factor for post-biopsy hematoma (adjusted Odds Ratio, 6.458, P < 0.001). CONCLUSION Post-biopsy hematoma occurred significantly more in ultrasound guided-core needle biopsy than in ultrasound guided-fine needle aspiration and ultrasound guided-core needle biopsy was the only independent factor of post-biopsy hematoma in thyroid nodules.
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Yoon JH, Han K, Kim EK, Moon HJ, Kwak JY. Diagnosis and Management of Small Thyroid Nodules: A Comparative Study with Six Guidelines for Thyroid Nodules. Radiology 2017; 283:560-569. [DOI: 10.1148/radiol.2016160641] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Yoon JH, Song MK, Kim EK. Semi-Quantitative Strain Ratio Determined Using Different Measurement Methods: Comparison of Strain Ratio Values and Diagnostic Performance Using One- versus Two-Region-of-Interest Measurement. ULTRASOUND IN MEDICINE & BIOLOGY 2017; 43:911-917. [PMID: 28242085 DOI: 10.1016/j.ultrasmedbio.2017.01.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 12/21/2016] [Accepted: 01/07/2017] [Indexed: 06/06/2023]
Abstract
We evaluated the agreement and diagnostic performance of strain ratio values using measurements made with one and two user-defined regions of interest (ROIs) on breast elastography. Two hundred forty-three breast masses of 226 women (mean age: 48.2 y) were included. Ultrasonography (US) and elastography images of the masses were recorded. Strain ratio was measured twice on the same elastography image; strain ratio 1, applying one ROI at the target mass for measurement, and strain ratio 2, applying one ROI at the target mass and another ROI as reference strain. The two strain ratio measurements were in substantial agreement, with an intra-class correlation coefficient of 0.655 (95% confidence interval: 0.577-0.722). Specificity, positive predictive value and accuracy (cutoffs: 2.66 and 2.35) were significantly improved for US combined with the two strain ratio measurements (all p values < 0.05). Strain ratios measured using one or two user-defined ROIs were in substantial agreement, both contributing to the improved diagnostic performance of breast US.
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Adam J, Adamová D, Aggarwal MM, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Aiola S, Akindinov A, Alam SN, Albuquerque DSD, Aleksandrov D, Alessandro B, Alexandre D, Alfaro Molina R, Alici A, Alkin A, Alme J, Alt T, Altinpinar S, Altsybeev I, Alves Garcia Prado C, An M, Andrei C, Andrews HA, Andronic A, Anguelov V, Anson C, Antičić T, Antinori F, Antonioli P, Anwar R, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arnold OW, Arsene IC, Arslandok M, Audurier B, Augustinus A, Averbeck R, Azmi MD, Badalà A, Baek YW, Bagnasco S, Bailhache R, Bala R, Baldisseri A, Baral RC, Barbano AM, Barbera R, Barile F, Barioglio L, Barnaföldi GG, Barnby LS, Barret V, Bartalini P, Barth K, Bartke J, Bartsch E, Basile M, Bastid N, Basu S, Bathen B, Batigne G, Batista Camejo A, Batyunya B, Batzing PC, Bearden IG, Beck H, Bedda C, Behera NK, Belikov I, Bellini F, Bello Martinez H, Bellwied R, Beltran LGE, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berenyi D, Bertens RA, Berzano D, Betev L, Bhasin A, Bhat IR, Bhati AK, Bhattacharjee B, Bhom J, Bianchi L, Bianchi N, Bianchin C, Bielčík J, Bielčíková J, Bilandzic A, Biro G, Biswas R, Biswas S, Blair JT, Blau D, Blume C, Bock F, Bogdanov A, Boldizsár L, Bombara M, Bonora M, Book J, Borel H, Borissov A, Borri M, Botta E, Bourjau C, Braun-Munzinger P, Bregant M, Broker TA, Browning TA, Broz M, Brucken EJ, Bruna E, Bruno GE, Budnikov D, Buesching H, Bufalino S, Buhler P, Buitron SAI, Buncic P, Busch O, Buthelezi Z, Butt JB, Buxton JT, Cabala J, Caffarri D, Caines H, Caliva A, Calvo Villar E, Camerini P, Capon AA, Carena F, Carena W, Carnesecchi F, Castillo Castellanos J, Castro AJ, Casula EAR, Ceballos Sanchez C, Cerello P, Cerkala J, Chang B, Chapeland S, Chartier M, Charvet JL, Chattopadhyay S, Chattopadhyay S, Chauvin A, Cherney M, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Cho S, Chochula P, Choi K, Chojnacki M, Choudhury S, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Chung SU, Cicalo C, Cifarelli L, Cindolo F, Cleymans J, Colamaria F, Colella D, Collu A, Colocci M, Conesa Balbastre G, Conesa Del Valle Z, Connors ME, Contreras JG, Cormier TM, Corrales Morales Y, Cortés Maldonado I, Cortese P, Cosentino MR, Costa F, Crkovská J, Crochet P, Cruz Albino R, Cuautle E, Cunqueiro L, Dahms T, Dainese A, Danisch MC, Danu A, Das D, Das I, Das S, Dash A, Dash S, De S, De Caro A, de Cataldo G, de Conti C, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Pasquale S, De Souza RD, Degenhardt HF, Deisting A, Deloff A, Deplano C, Dhankher P, Di Bari D, Di Mauro A, Di Nezza P, Di Ruzza B, Diaz Corchero MA, Dietel T, Dillenseger P, Divià R, Djuvsland Ø, Dobrin A, Domenicis Gimenez D, Dönigus B, Dordic O, Drozhzhova T, Dubey AK, Dubla A, Ducroux L, Duggal AK, Dupieux P, Ehlers RJ, Elia D, Endress E, Engel H, Epple E, Erazmus B, Erhardt F, Espagnon B, Esumi S, Eulisse G, Eum J, Evans D, Evdokimov S, Fabbietti L, Fabris D, Faivre J, Fantoni A, Fasel M, Feldkamp L, Feliciello A, Feofilov G, Ferencei J, Fernández Téllez A, Ferreiro EG, Ferretti A, Festanti A, Feuillard VJG, Figiel J, Figueredo MAS, Filchagin S, Finogeev D, Fionda FM, Fiore EM, Floris M, Foertsch S, Foka P, Fokin S, Fragiacomo E, Francescon A, Francisco A, Frankenfeld U, Fronze GG, Fuchs U, Furget C, Furs A, Fusco Girard M, Gaardhøje JJ, Gagliardi M, Gago AM, Gajdosova K, Gallio M, Galvan CD, Gangadharan DR, Ganoti P, Gao C, Garabatos C, Garcia-Solis E, Garg K, Garg P, Gargiulo C, Gasik P, Gauger EF, Gay Ducati MB, Germain M, Ghosh P, Ghosh SK, Gianotti P, Giubellino P, Giubilato P, Gladysz-Dziadus E, Glässel P, Goméz Coral DM, Gomez Ramirez A, Gonzalez AS, Gonzalez V, González-Zamora P, Gorbunov S, Görlich L, Gotovac S, Grabski V, Graczykowski LK, Graham KL, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan A, Grigoryan S, Grion N, Gronefeld JM, Grosa F, Grosse-Oetringhaus JF, Grosso R, Gruber L, Grull FR, Guber F, Guernane R, Guerzoni B, Gulbrandsen K, Gunji T, Gupta A, Gupta R, Guzman IB, Haake R, Hadjidakis C, Hamagaki H, Hamar G, Hamon JC, Harris JW, Harton A, Hatzifotiadou D, Hayashi S, Heckel ST, Hellbär E, Helstrup H, Herghelegiu A, Herrera Corral G, Herrmann F, Hess BA, Hetland KF, Hillemanns H, Hippolyte B, Hladky J, Horak D, Hosokawa R, Hristov P, Hughes C, Humanic TJ, Hussain N, Hussain T, Hutter D, Hwang DS, Ilkaev R, Inaba M, Ippolitov M, Irfan M, Isakov V, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jacak B, Jacazio N, Jacobs PM, Jadhav MB, Jadlovska S, Jadlovsky J, Jahnke C, Jakubowska MJ, Janik MA, Jayarathna PHSY, Jena C, Jena S, Jercic M, Jimenez Bustamante RT, Jones PG, Jusko A, Kalinak P, Kalweit A, Kang JH, Kaplin V, Kar S, Karasu Uysal A, Karavichev O, Karavicheva T, Karayan L, Karpechev E, Kebschull U, Keidel R, Keijdener DLD, Keil M, Mohisin Khan M, Khan P, Khan SA, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kielbowicz MM, Kileng B, Kim DW, Kim DJ, Kim D, Kim H, Kim JS, Kim J, Kim M, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kiss G, Klay JL, Klein C, Klein J, Klein-Bösing C, Klewin S, Kluge A, Knichel ML, Knospe AG, Kobdaj C, Kofarago M, Kollegger T, Kolojvari A, Kondratiev V, Kondratyeva N, Kondratyuk E, Konevskikh A, Kopcik M, Kour M, Kouzinopoulos C, Kovalenko O, Kovalenko V, Kowalski M, Koyithatta Meethaleveedu G, Králik I, Kravčáková A, Krivda M, Krizek F, Kryshen E, Krzewicki M, Kubera AM, Kučera V, Kuhn C, Kuijer PG, Kumar A, Kumar J, Kumar L, Kumar S, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kweon MJ, Kwon Y, La Pointe SL, La Rocca P, Lagana Fernandes C, Lakomov I, Langoy R, Lapidus K, Lara C, Lardeux A, Lattuca A, Laudi E, Lavicka R, Lazaridis L, Lea R, Leardini L, Lee S, Lehas F, Lehner S, Lehrbach J, Lemmon RC, Lenti V, Leogrande E, León Monzón I, Lévai P, Li S, Li X, Lien J, Lietava R, Lindal S, Lindenstruth V, Lippmann C, Lisa MA, Litichevskyi V, Ljunggren HM, Llope WJ, Lodato DF, Loenne PI, Loginov V, Loizides C, Loncar P, Lopez X, López Torres E, Lowe A, Luettig P, Lunardon M, Luparello G, Lupi M, Lutz TH, Maevskaya A, Mager M, Mahajan S, Mahmood SM, Maire A, Majka RD, Malaev M, Maldonado Cervantes I, Malinina L, Mal'Kevich D, Malzacher P, Mamonov A, Manko V, Manso F, Manzari V, Mao Y, Marchisone M, Mareš J, Margagliotti GV, Margotti A, Margutti J, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martinez JAL, Martínez MI, Martínez García G, Martinez Pedreira M, Mas A, Masciocchi S, Masera M, Masoni A, Mastroserio A, Mathis AM, Matyja A, Mayer C, Mazer J, Mazzilli M, Mazzoni MA, Meddi F, Melikyan Y, Menchaca-Rocha A, Meninno E, Mercado Pérez J, Meres M, Mhlanga S, Miake Y, Mieskolainen MM, Mihaylov D, Mikhaylov K, Milano L, Milosevic J, Mischke A, Mishra AN, Mishra T, Miśkowiec D, Mitra J, Mitu CM, Mohammadi N, Mohanty B, Montes E, Moreira De Godoy DA, Moreno LAP, Moretto S, Morreale A, Morsch A, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mukherjee M, Mulligan JD, Munhoz MG, Münning K, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myers CJ, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Naru MU, Natal da Luz H, Nattrass C, Navarro SR, Nayak K, Nayak R, Nayak TK, Nazarenko S, Nedosekin A, Negrao De Oliveira RA, Nellen L, Nesbo SV, Ng F, Nicassio M, Niculescu M, Niedziela J, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Nomokonov P, Nooren G, Noris JCC, Norman J, Nyanin A, Nystrand J, Oeschler H, Oh S, Ohlson A, Okubo T, Olah L, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onderwaater J, Oppedisano C, Orava R, Oravec M, Ortiz Velasquez A, Oskarsson A, Otwinowski J, Oyama K, Ozdemir M, Pachmayer Y, Pacik V, Pagano D, Pagano P, Paić G, Pal SK, Palni P, Pan J, Pandey AK, Panebianco S, Papikyan V, Pappalardo GS, Pareek P, Park J, Park WJ, Parmar S, Passfeld A, Paticchio V, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez Lezama E, Peskov V, Pestov Y, Petráček V, Petrov V, Petrovici M, Petta C, Pezzi RP, Piano S, Pikna M, Pillot P, Pimentel LODL, Pinazza O, Pinsky L, Piyarathna DB, Płoskoń M, Planinic M, Pluta J, Pochybova S, Podesta-Lerma PLM, Poghosyan MG, Polichtchouk B, Poljak N, Poonsawat W, Pop A, Poppenborg H, Porteboeuf-Houssais S, Porter J, Pospisil J, Pozdniakov V, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Puddu G, Pujahari P, Punin V, Putschke J, Qvigstad H, Rachevski A, Raha S, Rajput S, Rak J, Rakotozafindrabe A, Ramello L, Rami F, Rana DB, Raniwala R, Raniwala S, Räsänen SS, Rascanu BT, Rathee D, Ratza V, Ravasenga I, Read KF, Redlich K, Rehman A, Reichelt P, Reidt F, Ren X, Renfordt R, Reolon AR, Reshetin A, Reygers K, Riabov V, Ricci RA, Richert T, Richter M, Riedler P, Riegler W, Riggi F, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogochaya E, Rohr D, Röhrich D, Ronchetti F, Ronflette L, Rosnet P, Rossi A, Roukoutakis F, Roy A, Roy C, Roy P, Rubio Montero AJ, Rui R, Russo R, Ryabinkin E, Ryabov Y, Rybicki A, Saarinen S, Sadhu S, Sadovsky S, Šafařík K, Sahlmuller B, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu PK, Saini J, Sakai S, Saleh MA, Salzwedel J, Sambyal S, Samsonov V, Sandoval A, Sarkar D, Sarkar N, Sarma P, Sas MHP, Scapparone E, Scarlassara F, Scharenberg RP, Schiaua C, Schicker R, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Scott R, Šefčík M, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senosi K, Senyukov S, Serradilla E, Sett P, Sevcenco A, Shabanov A, Shabetai A, Shadura O, Shahoyan R, Shangaraev A, Sharma A, Sharma A, Sharma M, Sharma M, Sharma N, Sheikh AI, Shigaki K, Shou Q, Shtejer K, Sibiriak Y, Siddhanta S, Sielewicz KM, Siemiarczuk T, Silvermyr D, Silvestre C, Simatovic G, Simonetti G, Singaraju R, Singh R, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Slupecki M, Smirnov N, Snellings RJM, Snellman TW, Song J, Song M, Soramel F, Sorensen S, Sozzi F, Spiriti E, Sputowska I, Srivastava BK, Stachel J, Stan I, Stankus P, Stenlund E, Stiller JH, Stocco D, Strmen P, 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Volpe G, von Haller B, Vorobyev I, Voscek D, Vranic D, Vrláková J, Wagner B, Wagner J, Wang H, Wang M, Watanabe D, Watanabe Y, Weber M, Weber SG, Weiser DF, Wessels JP, Westerhoff U, Whitehead AM, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Williams MCS, Windelband B, Witt WE, Yalcin S, Yang P, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yurchenko V, Zaccolo V, Zaman A, Zampolli C, Zanoli HJC, Zaporozhets S, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zbroszczyk H, Zhalov M, Zhang H, Zhang X, Zhang Y, Zhang C, Zhang Z, Zhao C, Zhigareva N, Zhou D, Zhou Y, Zhou Z, Zhu H, Zhu J, Zhu X, Zichichi A, Zimmermann A, Zimmermann MB, Zimmermann S, Zinovjev G, Zmeskal J. Flow Dominance and Factorization of Transverse Momentum Correlations in Pb-Pb Collisions at the LHC. PHYSICAL REVIEW LETTERS 2017; 118:162302. [PMID: 28474923 DOI: 10.1103/physrevlett.118.162302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Indexed: 06/07/2023]
Abstract
We present the first measurement of the two-particle transverse momentum differential correlation function, P_{2}≡⟨Δp_{T}Δp_{T}⟩/⟨p_{T}⟩^{2}, in Pb-Pb collisions at sqrt[s_{NN}]=2.76 TeV. Results for P_{2} are reported as a function of the relative pseudorapidity (Δη) and azimuthal angle (Δφ) between two particles for different collision centralities. The Δϕ dependence is found to be largely independent of Δη for |Δη|≥0.9. In the 5% most central Pb-Pb collisions, the two-particle transverse momentum correlation function exhibits a clear double-hump structure around Δφ=π (i.e., on the away side), which is not observed in number correlations in the same centrality range, and thus provides an indication of the dominance of triangular flow in this collision centrality. Fourier decompositions of P_{2}, studied as a function of the collision centrality, show that correlations at |Δη|≥0.9 can be well reproduced by a flow ansatz based on the notion that measured transverse momentum correlations are strictly determined by the collective motion of the system.
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Kim SY, Lee E, Nam SJ, Kim EK, Moon HJ, Yoon JH, Han KH, Kwak JY. Ultrasound texture analysis: Association with lymph node metastasis of papillary thyroid microcarcinoma. PLoS One 2017; 12:e0176103. [PMID: 28419171 PMCID: PMC5395228 DOI: 10.1371/journal.pone.0176103] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Accepted: 04/05/2017] [Indexed: 01/29/2023] Open
Abstract
This retrospective study aimed to evaluate whether ultrasound texture analysis is useful to predict lymph node metastasis in patients with papillary thyroid microcarcinoma (PTMC). This study was approved by the Institutional Review Board, and the need to obtain informed consent was waived. Between May and July 2013, 361 patients (mean age, 43.8 ± 11.3 years; range, 16-72 years) who underwent staging ultrasound (US) and subsequent thyroidectomy for conventional PTMC ≤ 10 mm between May and July 2013 were included. Each PTMC was manually segmented and its histogram parameters (Mean, Standard deviation, Skewness, Kurtosis, and Entropy) were extracted with Matlab software. The mean values of histogram parameters and clinical and US features were compared according to lymph node metastasis using the independent t-test and Chi-square test. Multivariate logistic regression analysis was performed to identify the independent factors associated with lymph node metastasis. Tumors with lymph node metastasis (n = 117) had significantly higher entropy compared to those without lymph node metastasis (n = 244) (mean±standard deviation, 6.268±0.407 vs. 6.171±.0.405; P = .035). No additional histogram parameters showed differences in mean values according to lymph node metastasis. Entropy was not independently associated with lymph node metastasis on multivariate logistic regression analysis (Odds ratio, 0.977 [95% confidence interval (CI), 0.482-1.980]; P = .949). Younger age (Odds ratio, 0.962 [95% CI, 0.940-0.984]; P = .001) and lymph node metastasis on US (Odds ratio, 7.325 [95% CI, 3.573-15.020]; P < .001) were independently associated with lymph node metastasis. Texture analysis was not useful in predicting lymph node metastasis in patients with PTMC.
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Yoon JH, Yoon H, Kim EK, Moon HJ, Park YV, Kim MJ. Ultrasonographic evaluation of women with pathologic nipple discharge. Ultrasonography 2017; 36:310-320. [PMID: 28494526 PMCID: PMC5621808 DOI: 10.14366/usg.17013] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 04/03/2017] [Accepted: 04/09/2017] [Indexed: 11/13/2022] Open
Abstract
Nipple discharge is a common symptom that is alarming for the patient since it can be a presenting symptom of breast cancer. Breast imaging is used to examine women with pathologic nipple discharge in order to detect any lesions that may be present and to assist in the differential diagnosis. The modalities of breast imaging include mammography, breast ultrasonography (US), and magnetic resonance imaging. Breast US is currently considered to be useful for the visualization of ductal structures and intraductal lesions that cause nipple discharge. In this review, we discuss US techniques that assist in the clear visualization of ductal structures and intraductal lesions in patients with nipple discharge. Controversy remains regarding the evaluation and management of patients with nipple discharge, and we summarize the results available in the currently published literature.
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