Additional file 1: Figure S1. of Predicting malignancy in thyroid nodules: feasibility of a predictive model integrating clinical, biochemical, and ultrasound characteristics

Additional file 1: of Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening

Fredrik Strand (3462530)
Keith Humphreys (28187)
Johanna Holm (5119337)
Mikael Eriksson (534708)
Sven TĂśrnberg (3462545)
Per Hall (23544)
Edward Azavedo (3462527)
Kamila Czene (77258)

April 2018

Table S1. Linear regression coefficients for association between the tumor size (mm) and selected pa...

Additional file 1: Table S1. of Multistage carcinogenesis and the incidence of thyroid cancer in the US by sex, race, stage and histology

Rafael Meza (201050)
Joanne Chang (2985933)

August 2015

Trends of thyroid cancer incidence by gender, race, histology and stage –Joinpoint analyses 1973-201...

Additional file 9: Figure S3. of CRABP1, C1QL1 and LCN2 are biomarkers of differentiated thyroid carcinoma, and predict extrathyroidal extension

Ricardo Celestino (4753446)
Torfinn Nome (117578)
Ana Pestana (4753449)
Andreas M. Hoff (532398)
A. Pedro Gonçalves (4753455)
Luísa Pereira (3796522)
Bruno Cavadas (698498)
Catarina Eloy (4059721)
Trine Bjøro (4753452)
Manuel Sobrinho-Simões (26561)
Rolf I. Skotheim (117582)
Paula Soares (26560)

January 2018

Differential gene expression of C1QL1, LCN2, CRABP1 and CILP in thyroid tumours and normal tissues. ...

Additional file 1: of A predictive model of thyroid malignancy using clinical, biochemical and sonographic parameters for patients in a multi-center setting

Jia Liu (41593)
Dongmei Zheng (2092258)
Qiang Li (8118)
Xulei Tang (110250)
Zuojie Luo (461259)
Zhongshang Yuan (180937)
Ling Gao (429702)
Jiajun Zhao (577798)

March 2018

Table S1. Clinical, biochemical and sonographic parameters of thyroid nodules â¤1Â cm. (DOCX 17Â kb

Additional file 2: of A predictive model of thyroid malignancy using clinical, biochemical and sonographic parameters for patients in a multi-center setting

Jia Liu (41593)
Dongmei Zheng (2092258)
Qiang Li (8118)
Xulei Tang (110250)
Zuojie Luo (461259)
Zhongshang Yuan (180937)
Ling Gao (429702)
Jiajun Zhao (577798)

March 2018

Table S2. Distribution of thyroid malignancy in patients with and without lymphocytic thyroiditis. (...

Additional file 1: of Echogenic foci in thyroid nodules: diagnostic performance with combination of TIRADS and echogenic foci

Su Ha (2852819)
Yun Chung (3575456)
Hye Ahn (6557483)
Jung Baek (6557486)
Sung Park (3421172)

April 2019

Table S1. US characteristics of benign and malignancy thyroid nodules with echogenic foci (nâ=â3...

Table_1_Development and validation of a novel diagnostic tool for predicting the malignancy probability of thyroid nodules: A retrospective study based on clinical, B-mode, color doppler and elastographic ultrasonographic characteristics.docx

Shangyan Xu (13757359)
Xiaofeng Ni (725744)
Wei Zhou (24328)
Weiwei Zhan (3741565)
Huan Zhang (220065)

September 2022

BackgroundClinicians estimate the risk of thyroid nodules and make subsequently decision on the basi...

Additional file 1: Table S1. of A panel of four genes accurately differentiates benign from malignant thyroid nodules

Qing-Xuan Wang (3498386)
En-Dong Chen (3498374)
Ye-Feng Cai (3498368)
Quan Li (157017)
Yi-Xiang Jin (3498365)
Wen-Xu Jin (3498377)
Ying-Hao Wang (3498371)
Zhou-Ci Zheng (3498380)
Lu Xue (440995)
Ou-Chen Wang (3498383)
Xiao-Hua Zhang (87629)

October 2016

Clinicopathologic characteristics of 223 thyroid cancer patients enrolled in the study. (DOCX 16Â kb

Additional file 1: of Development of a normal tissue complication probability (NTCP) model for radiation-induced hypothyroidism in nasopharyngeal carcinoma patients

Ren Luo (691457)
Vincent Wu (769645)
Binghui He (772400)
Xiaoying Gao (2052202)
Zhenxi Xu (5237603)
Dandan Wang (286632)
Zhining Yang (5237606)
Mei Li (217363)
Zhixiong Lin (1603774)

May 2018

Table S1. Spearmanâs rank self-correlation matrix of clinical and dosimetric variables. (XLS 26 kb

Additional file 10: Table S5. of CRABP1, C1QL1 and LCN2 are biomarkers of differentiated thyroid carcinoma, and predict extrathyroidal extension

Ricardo Celestino (4753446)
Torfinn Nome (117578)
Ana Pestana (4753449)
Andreas M. Hoff (532398)
A. Pedro Gonçalves (4753455)
Luísa Pereira (3796522)
Bruno Cavadas (698498)
Catarina Eloy (4059721)
Trine Bjøro (4753452)
Manuel Sobrinho-Simões (26561)
Rolf I. Skotheim (117582)
Paula Soares (26560)

January 2018

Receiver Operating Characteristics (ROC) curve analysis. ROC curves for individual biomarkers were g...

Additional file 3: of Lymph node positivity in different early breast carcinoma phenotypes: a predictive model

Gilles Houvenaeghel (230596)
Eric Lambaudie (4722285)
Jean-Marc Classe (217015)
Chafika Mazouni (2826020)
Sylvia Giard (6197486)
Monique Cohen (6001736)
Christelle Faure (6197489)
Hélène Charitansky (6197492)
Roman Rouzier (78764)
Emile Daraï (2183929)
Delphine Hudry (6197495)
Pierre Azuar (6197498)
Richard Villet (6001778)
Pierre Gimbergues (6001748)
Christine Tunon de Lara (6197501)
Marc Martino (6197504)
Jean Fraisse (6197507)
François Dravet (6197510)
Marie Chauvet (6197513)
Jean Boher (6197516)

January 2019

Figure S2. ROC curves of our models. 2A: ROC curves of predictive LN Involvement – Pathologic model....

Additional file 1: of Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

Tuong Nguyen (4664224)
Ye Aung (6085094)
Shuai Li (65944)
Nhut Trinh (6085097)
Christopher Evans (293363)
Laura Baglietto (89917)
Kavitha Krishnan (3549971)
Gillian Dite (4844133)
Jennifer Stone (3549974)
Dallas English (3421334)
Yun-Mi Song (414714)
Joohon Sung (414717)
Mark Jenkins (425272)
Melissa Southey (81752)
Graham Giles (521929)
John Hopper (218871)

December 2018

Table S1. For interval and screen-detected invasive breast cancer, marginal risk estimates for Cumul...

Additional file 2: Table S2. of Association of thyroid nodules with adiposity: a community-based cross-sectional study in China

Bin Song (446187)
Zhihua Zuo (4802541)
Juan Tan (295753)
Jianjin Guo (295251)
Weiping Teng (532328)
Yibing Lu (4802538)
Chao Liu (1234536)

January 2018

Associations of thyroid nodules with different BMI cut-offs in subgroups of subjects stratified by g...

Additional file 2: of Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening

Fredrik Strand (3462530)
Keith Humphreys (28187)
Johanna Holm (5119337)
Mikael Eriksson (534708)
Sven TĂśrnberg (3462545)
Per Hall (23544)
Edward Azavedo (3462527)
Kamila Czene (77258)

April 2018

Figure S1. Model-predicted probabilities of a large (as opposed to small) tumor as a function of BMI...

Additional file 1: of Quantitative computed tomography texture analysis: can it improve diagnostic accuracy to differentiate malignant lymph nodes?

So Shin (6722960)
Il Hong (6722963)
Yong Jo (6405461)

May 2019

Figure S1. Endobronchial ultrasound (EBUS) findings. Round shape (a), oval shape (b), central hilar ...

Additional file 1: of Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening

Fredrik Strand (3462530)
Keith Humphreys (28187)
Johanna Holm (5119337)
Mikael Eriksson (534708)
Sven TĂśrnberg (3462545)
Per Hall (23544)
Edward Azavedo (3462527)
Kamila Czene (77258)

April 2018

Table S1. Linear regression coefficients for association between the tumor size (mm) and selected pa...

Additional file 1: Table S1. of Multistage carcinogenesis and the incidence of thyroid cancer in the US by sex, race, stage and histology

Rafael Meza (201050)
Joanne Chang (2985933)

August 2015

Trends of thyroid cancer incidence by gender, race, histology and stage –Joinpoint analyses 1973-201...

Additional file 9: Figure S3. of CRABP1, C1QL1 and LCN2 are biomarkers of differentiated thyroid carcinoma, and predict extrathyroidal extension

Ricardo Celestino (4753446)
Torfinn Nome (117578)
Ana Pestana (4753449)
Andreas M. Hoff (532398)
A. Pedro Gonçalves (4753455)
Luísa Pereira (3796522)
Bruno Cavadas (698498)
Catarina Eloy (4059721)
Trine Bjøro (4753452)
Manuel Sobrinho-Simões (26561)
Rolf I. Skotheim (117582)
Paula Soares (26560)

January 2018

Differential gene expression of C1QL1, LCN2, CRABP1 and CILP in thyroid tumours and normal tissues. ...

Additional file 1: of A predictive model of thyroid malignancy using clinical, biochemical and sonographic parameters for patients in a multi-center setting

Jia Liu (41593)
Dongmei Zheng (2092258)
Qiang Li (8118)
Xulei Tang (110250)
Zuojie Luo (461259)
Zhongshang Yuan (180937)
Ling Gao (429702)
Jiajun Zhao (577798)

March 2018

Table S1. Clinical, biochemical and sonographic parameters of thyroid nodules â¤1Â cm. (DOCX 17Â kb

Additional file 2: of A predictive model of thyroid malignancy using clinical, biochemical and sonographic parameters for patients in a multi-center setting

Jia Liu (41593)
Dongmei Zheng (2092258)
Qiang Li (8118)
Xulei Tang (110250)
Zuojie Luo (461259)
Zhongshang Yuan (180937)
Ling Gao (429702)
Jiajun Zhao (577798)

March 2018

Table S2. Distribution of thyroid malignancy in patients with and without lymphocytic thyroiditis. (...

Additional file 1: of Echogenic foci in thyroid nodules: diagnostic performance with combination of TIRADS and echogenic foci

Su Ha (2852819)
Yun Chung (3575456)
Hye Ahn (6557483)
Jung Baek (6557486)
Sung Park (3421172)

April 2019

Table S1. US characteristics of benign and malignancy thyroid nodules with echogenic foci (nâ=â3...

Table_1_Development and validation of a novel diagnostic tool for predicting the malignancy probability of thyroid nodules: A retrospective study based on clinical, B-mode, color doppler and elastographic ultrasonographic characteristics.docx

Shangyan Xu (13757359)
Xiaofeng Ni (725744)
Wei Zhou (24328)
Weiwei Zhan (3741565)
Huan Zhang (220065)

September 2022

BackgroundClinicians estimate the risk of thyroid nodules and make subsequently decision on the basi...

Additional file 1: Table S1. of A panel of four genes accurately differentiates benign from malignant thyroid nodules

Qing-Xuan Wang (3498386)
En-Dong Chen (3498374)
Ye-Feng Cai (3498368)
Quan Li (157017)
Yi-Xiang Jin (3498365)
Wen-Xu Jin (3498377)
Ying-Hao Wang (3498371)
Zhou-Ci Zheng (3498380)
Lu Xue (440995)
Ou-Chen Wang (3498383)
Xiao-Hua Zhang (87629)

October 2016

Clinicopathologic characteristics of 223 thyroid cancer patients enrolled in the study. (DOCX 16Â kb

Additional file 1: of Development of a normal tissue complication probability (NTCP) model for radiation-induced hypothyroidism in nasopharyngeal carcinoma patients

Ren Luo (691457)
Vincent Wu (769645)
Binghui He (772400)
Xiaoying Gao (2052202)
Zhenxi Xu (5237603)
Dandan Wang (286632)
Zhining Yang (5237606)
Mei Li (217363)
Zhixiong Lin (1603774)

May 2018

Table S1. Spearmanâs rank self-correlation matrix of clinical and dosimetric variables. (XLS 26 kb

Additional file 10: Table S5. of CRABP1, C1QL1 and LCN2 are biomarkers of differentiated thyroid carcinoma, and predict extrathyroidal extension

Ricardo Celestino (4753446)
Torfinn Nome (117578)
Ana Pestana (4753449)
Andreas M. Hoff (532398)
A. Pedro Gonçalves (4753455)
Luísa Pereira (3796522)
Bruno Cavadas (698498)
Catarina Eloy (4059721)
Trine Bjøro (4753452)
Manuel Sobrinho-Simões (26561)
Rolf I. Skotheim (117582)
Paula Soares (26560)

January 2018

Receiver Operating Characteristics (ROC) curve analysis. ROC curves for individual biomarkers were g...

Additional file 3: of Lymph node positivity in different early breast carcinoma phenotypes: a predictive model

Gilles Houvenaeghel (230596)
Eric Lambaudie (4722285)
Jean-Marc Classe (217015)
Chafika Mazouni (2826020)
Sylvia Giard (6197486)
Monique Cohen (6001736)
Christelle Faure (6197489)
Hélène Charitansky (6197492)
Roman Rouzier (78764)
Emile Daraï (2183929)
Delphine Hudry (6197495)
Pierre Azuar (6197498)
Richard Villet (6001778)
Pierre Gimbergues (6001748)
Christine Tunon de Lara (6197501)
Marc Martino (6197504)
Jean Fraisse (6197507)
François Dravet (6197510)
Marie Chauvet (6197513)
Jean Boher (6197516)

January 2019

Figure S2. ROC curves of our models. 2A: ROC curves of predictive LN Involvement – Pathologic model....

Additional file 1: of Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

Tuong Nguyen (4664224)
Ye Aung (6085094)
Shuai Li (65944)
Nhut Trinh (6085097)
Christopher Evans (293363)
Laura Baglietto (89917)
Kavitha Krishnan (3549971)
Gillian Dite (4844133)
Jennifer Stone (3549974)
Dallas English (3421334)
Yun-Mi Song (414714)
Joohon Sung (414717)
Mark Jenkins (425272)
Melissa Southey (81752)
Graham Giles (521929)
John Hopper (218871)

December 2018

Table S1. For interval and screen-detected invasive breast cancer, marginal risk estimates for Cumul...

Additional file 2: Table S2. of Association of thyroid nodules with adiposity: a community-based cross-sectional study in China

Bin Song (446187)
Zhihua Zuo (4802541)
Juan Tan (295753)
Jianjin Guo (295251)
Weiping Teng (532328)
Yibing Lu (4802538)
Chao Liu (1234536)

January 2018

Associations of thyroid nodules with different BMI cut-offs in subgroups of subjects stratified by g...

Additional file 2: of Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening

Fredrik Strand (3462530)
Keith Humphreys (28187)
Johanna Holm (5119337)
Mikael Eriksson (534708)
Sven TĂśrnberg (3462545)
Per Hall (23544)
Edward Azavedo (3462527)
Kamila Czene (77258)

April 2018

Figure S1. Model-predicted probabilities of a large (as opposed to small) tumor as a function of BMI...

Additional file 1: of Quantitative computed tomography texture analysis: can it improve diagnostic accuracy to differentiate malignant lymph nodes?

So Shin (6722960)
Il Hong (6722963)
Yong Jo (6405461)

May 2019

Figure S1. Endobronchial ultrasound (EBUS) findings. Round shape (a), oval shape (b), central hilar ...

Additional file 1: of Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening

Fredrik Strand (3462530)
Keith Humphreys (28187)
Johanna Holm (5119337)
Mikael Eriksson (534708)
Sven TĂśrnberg (3462545)
Per Hall (23544)
Edward Azavedo (3462527)
Kamila Czene (77258)

April 2018

Table S1. Linear regression coefficients for association between the tumor size (mm) and selected pa...

Additional file 1: Table S1. of Multistage carcinogenesis and the incidence of thyroid cancer in the US by sex, race, stage and histology

Rafael Meza (201050)
Joanne Chang (2985933)

August 2015

Trends of thyroid cancer incidence by gender, race, histology and stage –Joinpoint analyses 1973-201...

Additional file 9: Figure S3. of CRABP1, C1QL1 and LCN2 are biomarkers of differentiated thyroid carcinoma, and predict extrathyroidal extension

Ricardo Celestino (4753446)
Torfinn Nome (117578)
Ana Pestana (4753449)
Andreas M. Hoff (532398)
A. Pedro Gonçalves (4753455)
Luísa Pereira (3796522)
Bruno Cavadas (698498)
Catarina Eloy (4059721)
Trine Bjøro (4753452)
Manuel Sobrinho-Simões (26561)
Rolf I. Skotheim (117582)
Paula Soares (26560)

January 2018

Differential gene expression of C1QL1, LCN2, CRABP1 and CILP in thyroid tumours and normal tissues. ...

Additional file 1: Figure S1. of Predicting malignancy in thyroid nodules: feasibility of a predictive model integrating clinical, biochemical, and ultrasound characteristics

Abstract

Extracted data

Additional file 1: Figure S1. of Predicting malignancy in thyroid nodules: feasibility of a predictive model integrating clinical, biochemical, and ultrasound characteristics

Abstract

Extracted data

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