John W. Nance, Jr., MD

Associate Professor of Clinical Radiology, Academic Institute
Associate Clinical Member, Research Institute
Houston Methodist
Weill Cornell Medical College


Steady Progress in Interstitial Lung Disease
Nance, JW 2023, , Journal of Thoracic Imaging, vol. 38, pp. S1. https://doi.org/10.1097/RTI.0000000000000747

A Multimodality Imaging Approach to Defining Risk in Patients With Acute Pulmonary Embolism
Shah, S, Ogbonna, AV, Nance, J, Gregoski, MJ, Tedford, R, Ramu, B, Todoran, TM & Litwin, SE 2023, , Journal of the American Society of Echocardiography, vol. 36, no. 9, pp. 933-940. https://doi.org/10.1016/j.echo.2023.05.003

Detection and Monitoring of Interstitial Lung Disease in Patients with Systemic Sclerosis
Khanna, SA, Nance, JW & Suliman, SA 2022, , Current Rheumatology Reports, vol. 24, no. 5, pp. 166-173. https://doi.org/10.1007/s11926-022-01067-5

Pulmonary CTA Reporting: AJR Expert Panel Narrative Review
Tan, S, Nance, JW, Haramati, LB, Rajiah, P, Sherk, WM, Le Gal, G & Stojanovska, J 2022, , American Journal of Roentgenology, vol. 218, no. 3, pp. 396-404. https://doi.org/10.2214/AJR.21.26646

Robot-assisted Thoracoscopic Lobectomy of T4 Lung Cancer
Shah, A, Nance, JW, Chihara, R, Chan, EY & Kim, MP 2022, , Annals of Thoracic Surgery, vol. 114, no. 4, pp. e265-e267. https://doi.org/10.1016/j.athoracsur.2021.12.021

Correction to: Detection and Monitoring of Interstitial Lung Disease in Patients with Systemic Sclerosis (Current Rheumatology Reports, (2022), 24, 5, (166-173), 10.1007/s11926-022-01067-5)
Khanna, SA, Nance, JW & Suliman, SA 2022, , Current Rheumatology Reports, vol. 24, no. 10, pp. 321. https://doi.org/10.1007/s11926-022-01085-3

Predictive value of cardiac CTA, cardiac MRI, and transthoracic echocardiography for cardioembolic stroke recurrence
Apfaltrer, G, Lavra, F, de Cecco, CN, Varga-Szemes, A, van Assen, M, Mastrodicasa, D, Scarabello, M, Eid, MH, Griffith, LP, Nance, JW, Litwin, SE, Saba, L & Schoepf, UJ 2021, , American Journal of Roentgenology, vol. 217, no. 2, pp. 336-346. https://doi.org/10.2214/AJR.20.23903

In-Hospital Cost Comparison of Triple-Rule-Out Computed Tomography Angiography Versus Standard of Care in Patients with Acute Chest Pain
Takx, RAP, Wichmann, JL, Otani, K, De Cecco, CN, Tesche, C, Baumann, S, Mastrodicasa, D, Litwin, SE, Bayer, RR, Nance, JW, Suranyi, P, Jacobs, BE, Duguay, TM, Vogl, TJ, Carr, CM & Schoepf, UJ 2020, , Journal of Thoracic Imaging, vol. 35, no. 3, pp. 198-203. https://doi.org/10.1097/RTI.0000000000000474

Comparison of artificial intelligence–based fully automatic chest CT emphysema quantification to pulmonary function testing
Fischer, AM, Varga-Szemes, A, van Assen, M, Griffith, LP, Sahbaee, P, Sperl, JI, Nance, JW & Schoepf, UJ 2020, , American Journal of Roentgenology, vol. 214, no. 5, pp. 1065-1071. https://doi.org/10.2214/AJR.19.21572

Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers
Fischer, AM, Varga-Szemes, A, Martin, SS, Sperl, JI, Sahbaee, P, Neumann, D, Gawlitza, J, Henzler, T, Johnson, CM, Nance, JW, Schoenberg, SO & Schoepf, UJ 2020, , Journal of Thoracic Imaging, vol. 35 Suppl 1, pp. S28-S34. https://doi.org/10.1097/RTI.0000000000000500

Coronary computed tomography angiography-derived fractional flow reserve in patients with anomalous origin of the right coronary artery from the left coronary sinus
Tang, CX, Lu, MJ, Schoepf, JU, Tesche, C, Bauer, M, Nance, J, Griffith, P, Lu, GM & Zhang, LJ 2020, , Korean Journal of Radiology, vol. 21, no. 2, pp. 192-202. https://doi.org/10.3348/kjr.2019.0230

Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network with Long Short-term Memory for the Automated Detection of Calcified Plaques from Coronary Computed Tomography Angiography
Fischer, AM, Eid, M, De Cecco, CN, Gulsun, MA, Van Assen, M, Nance, JW, Sahbaee, P, De Santis, D, Bauer, MJ, Jacobs, BE, Varga-Szemes, A, Kabakus, IM, Sharma, P, Jackson, LJ & Schoepf, UJ 2020, , Journal of Thoracic Imaging, vol. 35 Suppl 1, pp. S49-S57. https://doi.org/10.1097/RTI.0000000000000491

Imaging in cardiothoracic oncologic therapy
Varga-Szemes, A & Nance, JW 2020, , Journal of Thoracic Imaging, vol. 35, no. 1, pp. 2-3. https://doi.org/10.1097/RTI.0000000000000464

The Feasibility, Tolerability, Safety, and Accuracy of Low-radiation Dynamic Computed Tomography Myocardial Perfusion Imaging With Regadenoson Compared With Single-photon Emission Computed Tomography
Van Assen, M, Duguay, TM, Litwin, SE, Bayer, RR, Nance, JW, Suranyi, P, De Cecco, CN, Varga-Szemes, A, Jacobs, BE, Johnson, AA, Tesche, C & Schoepf, UJ 2021, , Journal of Thoracic Imaging, vol. 36, no. 6, pp. 345-352. https://doi.org/10.1097/RTI.0000000000000502

Deep learning to convert unstructured CT pulmonary angiography reports into structured reports
Spandorfer, A, Branch, C, Sharma, P, Sahbaee, P, Schoepf, UJ, Ravenel, JG & Nance, JW 2019, , European Radiology Experimental, vol. 3, no. 1, 37. https://doi.org/10.1186/s41747-019-0118-1

Diagnostic Accuracy of Noncontrast Self-navigated Free-breathing MR Angiography versus CT Angiography: A Prospective Study in Pediatric Patients with Suspected Anomalous Coronary Arteries
Albrecht, MH, Varga-Szemes, A, Schoepf, UJ, Nance, JW, De Cecco, CN, De Santis, D, Tesche, C, Eid, MH, Penmetsa, M, Lesslie, VW, Piccini, D, Goeller, M, Wichmann, JL, Vogl, TJ, Chowdhury, SM, Nutting, A & Hlavacek, AM 2019, , Academic Radiology, vol. 26, no. 10, pp. 1309-1317. https://doi.org/10.1016/j.acra.2018.12.010

Design of CTP-PRO study (impact of stress Cardiac computed Tomography myocardial Perfusion on downstream resources and PROgnosis in patients with suspected or known coronary artery disease: A multicenter international study)
Pontone, G, De Cecco, C, Baggiano, A, Guaricci, AI, Guglielmo, M, Leiner, T, Lima, J, Maurovich-Horvat, P, Muscogiuri, G, Nance, JW & Schoepf, UJ 2019, , International Journal of Cardiology, vol. 292, pp. 253-257. https://doi.org/10.1016/j.ijcard.2019.06.012

Modified calcium subtraction in dual-energy CT angiography of the lower extremity runoff: impact on diagnostic accuracy for stenosis detection
De Santis, D, De Cecco, CN, Schoepf, UJ, Nance, JW, Yamada, RT, Thomas, BA, Otani, K, Jacobs, BE, Turner, DA, Wichmann, JL, Eid, M, Varga-Szemes, A, Caruso, D, Grant, KL, Schmidt, B, Vogl, TJ, Laghi, A & Albrecht, MH 2019, , European Radiology, vol. 29, no. 9, pp. 4783-4793. https://doi.org/10.1007/s00330-019-06032-y

Incidence of Pulmonary Embolism in Sickle Cell Anemia Patients Undergoing Computed Tomography Pulmonary Angiography in the Emergency Department
Swift, CA, Nance, JW, Collins, H & Ravenel, JG 2019, , Journal of Thoracic Imaging, vol. 34, no. 5, pp. W125-W126. https://doi.org/10.1097/RTI.0000000000000409

Coronary CT angiography–derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia
von Knebel Doeberitz, PL, De Cecco, CN, Schoepf, UJ, Duguay, TM, Albrecht, MH, van Assen, M, Bauer, MJ, Savage, RH, Pannell, JT, De Santis, D, Johnson, AA, Varga-Szemes, A, Bayer, RR, Schönberg, SO, Nance, JW & Tesche, C 2019, , European Radiology, vol. 29, no. 5, pp. 2378-2387. https://doi.org/10.1007/s00330-018-5834-z