478 related articles for article (PubMed ID: 9129544)
61. Noninvasive diagnosis of solitary pulmonary lesions in cancer patients based on 2-fluoro-2-deoxy-D-glucose avidity on positron emission tomography/computed tomography.
Bar-Shalom R; Kagna O; Israel O; Guralnik L
Cancer; 2008 Dec; 113(11):3213-21. PubMed ID: 18924145
[TBL] [Abstract][Full Text] [Related]
62. The combination of CTCs and CEA can help guide the management of patients with SPNs suspected of being lung cancer.
Zheng J; Ye X; Liu Y; Zhao Y; He M; Xiao H
BMC Cancer; 2020 Feb; 20(1):106. PubMed ID: 32041568
[TBL] [Abstract][Full Text] [Related]
63. Development of a multivariate model to predict the likelihood of carcinoma in patients with indeterminate peripheral lung nodules after a nondiagnostic bronchoscopic evaluation.
Voss JS; Iqbal S; Jenkins SM; Henry MR; Clayton AC; Jett JR; Kipp BR; Halling KC; Maldonado F
Hum Pathol; 2014 Jan; 45(1):41-7. PubMed ID: 24139213
[TBL] [Abstract][Full Text] [Related]
64. A combined diagnostic model based on circulating tumor cell in patients with solitary pulmonary nodules.
Wang D; Li P; Fei X; Che S; Li J; Xuan Y; Wang J; Han Y; Gu W; Wang Y
J Gene Med; 2023 Sep; 25(9):e3529. PubMed ID: 37194408
[TBL] [Abstract][Full Text] [Related]
65. The utility of nodule volume in the context of malignancy prediction for small pulmonary nodules.
Mehta HJ; Ravenel JG; Shaftman SR; Tanner NT; Paoletti L; Taylor KK; Tammemagi MC; Gomez M; Nietert PJ; Gould MK; Silvestri GA
Chest; 2014 Mar; 145(3):464-472. PubMed ID: 23949741
[TBL] [Abstract][Full Text] [Related]
66. Limited value of logistic regression analysis in solid solitary pulmonary nodules characterization: a single-center experience on 288 consecutive cases.
Perandini S; Soardi GA; Motton M; Dallaserra C; Montemezzi S
J Surg Oncol; 2014 Dec; 110(7):883-7. PubMed ID: 25088475
[TBL] [Abstract][Full Text] [Related]
67. [Establishment and Verification of A Novel Predictive Model of Malignancy
for Non-solid Pulmonary Nodules].
Xiao F; Yu Q; Zhang Z; Liu D; Liang C
Zhongguo Fei Ai Za Zhi; 2019 Jan; 22(1):26-33. PubMed ID: 30674390
[TBL] [Abstract][Full Text] [Related]
68. Estimating the probability of malignancy in solitary pulmonary nodules. A Bayesian approach.
Cummings SR; Lillington GA; Richard RJ
Am Rev Respir Dis; 1986 Sep; 134(3):449-52. PubMed ID: 3752700
[TBL] [Abstract][Full Text] [Related]
69. Analysis and validation of probabilistic models for predicting malignancy in solitary pulmonary nodules in a population in Brazil.
Melo CB; Perfeito JA; Daud DF; Costa Júnior Ada S; Santoro IL; Leão LE
J Bras Pneumol; 2012; 38(5):559-65. PubMed ID: 23147047
[TBL] [Abstract][Full Text] [Related]
70. Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules.
Liu Y; Balagurunathan Y; Atwater T; Antic S; Li Q; Walker RC; Smith GT; Massion PP; Schabath MB; Gillies RJ
Clin Cancer Res; 2017 Mar; 23(6):1442-1449. PubMed ID: 27663588
[No Abstract] [Full Text] [Related]
71. The frequency and significance of radiologically detected indeterminate pulmonary nodules in patients with colorectal cancer.
Varol Y; Varol U; Karaca B; Karabulut B; Sezgin C; Uslu R
Med Princ Pract; 2012; 21(5):457-61. PubMed ID: 22572176
[TBL] [Abstract][Full Text] [Related]
72. Development and validation of clinical diagnostic models for the probability of malignancy in solitary pulmonary nodules.
Dong J; Sun N; Li J; Liu Z; Zhang B; Chen Z; Gao Y; Zhou F; He J
Thorac Cancer; 2014 Mar; 5(2):162-8. PubMed ID: 26766994
[TBL] [Abstract][Full Text] [Related]
73. Value of dual-layer spectral detector computed tomography in the diagnosis of benign/malignant solid solitary pulmonary nodules and establishment of a prediction model.
Xie X; Liu K; Luo K; Xu Y; Zhang L; Wang M; Shen W; Zhou Z
Front Oncol; 2023; 13():1147479. PubMed ID: 37213284
[TBL] [Abstract][Full Text] [Related]
74. Evaluation of undiagnosed solitary lung nodules according to the probability of malignancy in the American College of Chest Physicians (ACCP) evidence-based clinical practice guidelines.
Shinohara S; Hanagiri T; Takenaka M; Chikaishi Y; Oka S; Shimokawa H; Nakagawa M; Uramoto H; So T; Aoki T; Tanaka F
Radiol Oncol; 2014 Mar; 48(1):50-5. PubMed ID: 24587779
[TBL] [Abstract][Full Text] [Related]
75. Establishment and validation of a clinical model for diagnosing solitary pulmonary nodules.
Zhou L; Zhou Z; Liu F; Sun H; Zhou B; Dai L; Zhang G
J Surg Oncol; 2022 Dec; 126(7):1316-1329. PubMed ID: 35975732
[TBL] [Abstract][Full Text] [Related]
76. Patient and Nodule Characteristics Associated With a Lung Cancer Diagnosis Among Individuals With Incidentally Detected Lung Nodules.
Farjah F; Monsell SE; Greenlee RT; Gould MK; Smith-Bindman R; Banegas MP; Schoen K; Ramaprasan A; Buist DSM
Chest; 2023 Mar; 163(3):719-730. PubMed ID: 36191633
[TBL] [Abstract][Full Text] [Related]
77. Development of a diagnostic model for malignant solitary pulmonary nodules based on radiomics features.
Zhao W; Zou C; Li C; Li J; Wang Z; Chen L
Ann Transl Med; 2022 Feb; 10(4):201. PubMed ID: 35280381
[TBL] [Abstract][Full Text] [Related]
78. A prediction model to evaluate the pretest risk of malignancy in solitary pulmonary nodules: evidence from a large Chinese southwestern population.
Wu Z; Huang T; Zhang S; Cheng D; Li W; Chen B
J Cancer Res Clin Oncol; 2021 Jan; 147(1):275-285. PubMed ID: 33025281
[TBL] [Abstract][Full Text] [Related]
79. Solitary pulmonary nodule malignancy predictive models applicable to routine clinical practice: a systematic review.
Senent-Valero M; Librero J; Pastor-Valero M
Syst Rev; 2021 Dec; 10(1):308. PubMed ID: 34872592
[TBL] [Abstract][Full Text] [Related]
80. A prediction model based on DNA methylation biomarkers and radiological characteristics for identifying malignant from benign pulmonary nodules.
Xing W; Sun H; Yan C; Zhao C; Wang D; Li M; Ma J
BMC Cancer; 2021 Mar; 21(1):263. PubMed ID: 33691657
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]