73
Views
15
CrossRef citations to date
0
Altmetric
Original Research

Nomogram For The Prediction Of Malignancy In Small (8–20 mm) Indeterminate Solid Solitary Pulmonary Nodules In Chinese Populations

, , , , , , , ORCID Icon, , , & ORCID Icon show all
Pages 9439-9448 | Published online: 06 Nov 2019

References

  • Anderson IJ, Davis AM. Incidental pulmonary nodules detected on CT images. JAMA. 2018;320(21 ):2260–2261. doi:10.1001/jama.2018.1633630419095
  • MacMahon H, Naidich DP, Goo JM, et al. Guidelines for management of incidental pulmonary nodules detected on CT images: from the Fleischner Society 2017. Radiology. 2017;284(1 ):228–243. doi:10.1148/radiol.201716165928240562
  • McWilliams A, Tammemagi MC, Mayo JR, et al. Probability of cancer in pulmonary nodules detected on first screening CT. N Eng J Med. 2013;369(10 ):910–919. doi:10.1056/NEJMoa1214726
  • Sharma P, Singh H, Basu S, Kumar R. Positron emission tomography-computed tomography in the management of lung cancer: an update. South Asian J Cancer. 2013;2(3 ):171–178. doi:10.4103/2278-330x.11414824455612
  • White CS, Dharaiya E, Campbell E, Boroczky L. The Vancouver lung cancer risk prediction model: assessment by using a subset of the National Lung Screening Trial cohort. Radiology. 2017;283(1 ):264–272. doi:10.1148/radiol.201615262727740906
  • Oudkerk M, Devaraj A, Vliegenthart R, et al. European position statement on lung cancer screening. Lancet Oncol. 2017;18(12 ):e754–e766. doi:10.1016/s1470-2045(17)30861-629208441
  • Gould MK, Donington J, Lynch WR, et al. Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143(5 Suppl ):e93S–e120S. doi:10.1378/chest.12-235123649456
  • Gibson G, Kumar AR, Steinke K, et al. Risk stratification in the investigation of pulmonary nodules in a high-risk cohort: positron emission tomography/computed tomography outperforms clinical risk prediction algorithms. Intern Med J. 2017;47(12 ):1385–1392. doi:10.1111/imj.1357628782248
  • Ohno Y, Hatabu H, Takenaka D, et al. CT-guided transthoracic needle aspiration biopsy of small (< or="20” mm)="” solitary="” pulmonary="">. AJR Am J Roentgenol. 2003;180(6 ):1665–1669. doi:10.2214/ajr.180.6.180166512760939
  • Wang Memoli JS, Nietert PJ, Silvestri GA. Meta-analysis of guided bronchoscopy for the evaluation of the pulmonary nodule. Chest. 2012;142(2 ):385–393. doi:10.1378/chest.11-176421980059
  • Tsukada H, Satou T, Iwashima A, Souma T. Diagnostic accuracy of CT-guided automated needle biopsy of lung nodules. AJR Am J Roentgenol. 2000;175(1 ):239–243. doi:10.2214/ajr.175.1.175023910882279
  • Ruilong Z, Daohai X, Li G, Xiaohong W, Chunjie W, Lei T. Diagnostic value of 18F-FDG-PET/CT for the evaluation of solitary pulmonary nodules: a systematic review and meta-analysis. Nucl Med Commun. 2017;38(1 ):67–75. doi:10.1097/mnm.000000000000060527741214
  • Swensen SJ, Silverstein MD, Ilstrup DM, Schleck CD, Edell ES. The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules. Arch Intern Med. 1997;157(8 ):849–855.9129544
  • Li Y, Chen KZ, Wang J. Development and validation of a clinical prediction model to estimate the probability of malignancy in solitary pulmonary nodules in Chinese people. Clin Lung Cancer. 2011;12(5 ):313–319. doi:10.1016/j.cllc.2011.06.00521889113
  • Xiang Y, Sun Y, Liu Y, et al. Development and validation of a predictive model for the diagnosis of solid solitary pulmonary nodules using data mining methods. J Thorac Dis. 2019;11(3 ):950–958. doi:10.21037/jtd.2019.01.9031019785
  • Soardi GA, Perandini S, Larici AR, et al. Multicentre external validation of the BIMC model for solid solitary pulmonary nodule malignancy prediction. Eur Radiol. 2017;27(5 ):1929–1933. doi:10.1007/s00330-016-4538-527553937
  • She Y, Zhao L, Dai C, et al. Development and validation of a nomogram to estimate the pretest probability of cancer in Chinese patients with solid solitary pulmonary nodules: a multi-institutional study. J Surg Oncol. 2017;116(6 ):756–762. doi:10.1002/jso.2470428570780
  • Swensen SJ, Viggiano RW, Midthun DE, et al. Lung nodule enhancement at CT: multicenter study. Radiology. 2000;214(1 ):73–80. doi:10.1148/radiology.214.1.r00ja147310644104
  • Gadbury G. Analysis of incomplete multivariate data (Monographs on statistics and applied probability, No. 72) by J. L. Schafer. J Am Stat Assoc. 2000;95(451 ):1013–1014. doi:10.2307/2669497
  • Pencina MJ, Fine JP, D’Agostino RB Sr. Discrimination slope and integrated discrimination improvement–properties, relationships and impact of calibration. Stat Med. 2017;36(28 ):4482–4490. doi:10.1002/sim.713927699818
  • Pencina MJ, D’Agostino RB Sr, D’Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27(2 ):157–172. doi:10.1002/sim.292917569110
  • Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006;26(6 ):565–574. doi:10.1177/0272989X0629536117099194
  • Zhang Z, Rousson V, Lee WC, et al. Decision curve analysis: a technical note. Ann Transl Med. 2018;6(15 ):308. doi:10.21037/atm.2018.07.0230211196
  • Kerr KF, Brown MD, Zhu K, Janes H. Assessing the clinical impact of risk prediction models with decision curves: guidance for correct interpretation and appropriate use. J Clin Oncol. 2016;34(21 ):2534–2540. doi:10.1200/JCO.2015.65.565427247223
  • Grimes DA. The nomogram epidemic: resurgence of a medical relic. Ann Intern Med. 2008;149(4 ):273–275. doi:10.7326/0003-4819-149-4-200808190-0001018711159
  • Guan WJ, Zheng XY, Chung KF, Zhong N-S. Impact of air pollution on the burden of chronic respiratory diseases in China: time for urgent action. Lancet. 2016;388(10054 ):1939–1951. doi:10.1016/s0140-6736(16)31597-527751401
  • Bai C, Choi CM, Chu CM, et al. Evaluation of pulmonary nodules: clinical practice consensus guidelines for Asia. Chest. 2016;150(4 ):877–893. doi:10.1016/j.chest.2016.02.65026923625