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Jacob, Joseph

https://orcid.org/0000-0002-8054-2293

Mayo Clinic

University College London

Citations 11

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease
Pakzad, Ashkan , Cheung, WK., Moorsel, CHM. Van, Quan, Ke, Bartholmai, Brian J. , Es, HW. Van, Ezircan, A., Beek, F. Van, Veltkamp, Marcel , Karwoski, R., Peikert, Tobias, Clay, RD., Foley, Finbar, Braun, Christian, Sudre, Carole H. , Alexander, Daniel C. , Wijeratne, P. A. , Hawkes, David J. , Hurst, John R. , Jacob, Joseph , Bartholmai, Brian J , Cheung, Wing Keung , Quan, K., Moğulkoç, Nesrin , Clay, Ryan , Savaş, Recep , Doel, Tom , Hu, Y.

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization | March 31, 2024 | Volume: 12 | Issue: 1 | Pages: No page available

10.1080/21681163.2024.2325361 Get It

Consistency of Automated Quantitation of Pulmonary Parenchymal Patterns on Normal, Low and Ultra-Low Dose CT
Braun, Christian, Koo, Chi Wan , Foley, Finbar, Porquera, Eva M. Carmona, Kalra, Sanjay , Shaughnessy, Gabe , Egan, Ashley M. , Karwoski, Ronald A., Peikert, Tobias, Rajagoplan, S., Jacob, Joseph , Bartholmai, Brian J.

C22. ILD: DIAGNOSIS | August 26, 2019 | Volume: No volume available | Issue: No issue available | Pages: A4313-A4313

10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a4313 Get It

Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis
Jacob, Joseph , Bartholmai, Brian J. , Rajagopalan, Srinivasan, Moorsel, Coline H.M. van , Es, Hendrik W. van, Beek, Frouke T. van, Struik, Marjolijn H. L., Kokosi, Maria , Egashira, Ryoko , Brun, Anne‐Laure , Nair, Arjun , Walsh, Simon , Cross, Gary , Barnett, Joseph , Lauretis, Angelo De, Judge, Eoin P., Desai, Sujal R. , Karwoski, Ronald A., Ourselin, Sébastien , Renzoni, Elisabetta , Maher, Toby M. , Altmann, André , Wells, Athol U. , Karwoski, Ronald, Bartholmai, Brian J , Maher, Toby , Egashira, Ryoko

American Journal of Respiratory and Critical Care Medicine | April 23, 2018 | Volume: 198 | Issue: 6 | Pages: 767-776

10.1164/rccm.201711-2174oc Get It

Abstract Rationale Quantitative computed tomographic (CT) measures of baseline disease severity might identify patients with idiopathic pulmonary fibrosis (IPF) with an increased mortality risk. We evaluated whether quantitative CT variables could act as a cohort enrichment tool in future IPF drug trials. Objectives To determine whether computer-derived CT measures, specifically measures of pulmonary vessel–related structures (VRSs), can better predict functional decline and survival in IPF and reduce requisite sample sizes in drug trial populations. Methods Patients with IPF undergoing volumetric noncontrast CT imaging at the Royal Brompton Hospital, London, and St. Antonius Hospital, Utrecht, were examined to identify pulmonary function measures (including FVC) and visual and computer-derived (CALIPER [Computer-Aided Lung Informatics for Pathology Evaluation and Rating] software) CT features predictive of mortality and FVC decline. The discovery cohort comprised 247 consecutive patients, with validation of results conducted in a separate cohort of 284 patients, all fulfilling drug trial entry criteria. Measurements and Main Results In the discovery and validation cohorts, CALIPER-derived features, particularly VRS scores, were among the strongest predictors of survival and FVC decline. CALIPER results were accentuated in patients with less extensive disease, outperforming pulmonary function measures. When used as a cohort enrichment tool, a CALIPER VRS score greater than 4.4% of the lung was able to reduce the requisite sample size of an IPF drug trial by 26%. Conclusions Our study has validated a new quantitative CT measure in patients with IPF fulfilling drug trial entry criteria—the VRS score—that outperformed current gold standard measures of outcome. When used for cohort enrichment in an IPF drug trial setting, VRS threshold scores can reduce a required IPF drug trial population size by 25%, thereby limiting prohibitive trial costs. Importantly, VRS scores identify patients in whom antifibrotic medication prolongs life and reduces FVC decline.
Likelihood of pulmonary hypertension in patients with idiopathic pulmonary fibrosis and emphysema
Jacob, Joseph , Bartholmai, Brian J. , Rajagopalan, Srinivasan , Karwoski, Ronald A., Nair, Arjun , Walsh, Simon, Barnett, Joseph , Cross, Gary , Judge, Eoin P., Kokosi, Maria , Renzoni, Elisabetta , Maher, Toby M. , Wells, Athol U. , Karwoski, Ronald, Bartholmai, Brian J , Maher, Toby

Respirology | December 13, 2017 | Volume: 23 | Issue: 6 | Pages: 593-599

10.1111/resp.13231 Get It

ABSTRACT Background and objective This study evaluated whether patients with combined pulmonary fibrosis and emphysema (CPFE) have an increased likelihood of pulmonary hypertension (PHT) when compared with idiopathic pulmonary fibrosis (IPF) patients without emphysema. Methods Two consecutive IPF populations having undergone transthoracic echocardiography were examined ( n = 223 and n = 162). Emphysema and interstitial lung disease (ILD) extent were quantified visually; ILD extent was also quantified by a software tool, CALIPER. Echocardiographic criteria categorized PHT risk. Results The prevalence of an increased PHT likelihood was 29% and 31% in each CPFE cohort. Survival at 12 months was 60% across both CPFE cohorts with no significantly worsened outcome identified when compared with IPF patients without emphysema. Using logistic regression models in both cohorts, total computed tomography (CT) disease extent (ILD and emphysema) predicted the likelihood of PHT. After adjustment for total disease extent, CPFE had no stronger association with PHT likelihood than IPF patients without emphysema. Conclusion Our findings indicate that the reported association between CPFE and PHT is explained by the summed baseline CT extents of ILD and emphysema. Once baseline severity is taken into account, CPFE is not selectively associated with a malignant microvascular phenotype, when compared with IPF patients without emphysema.
Evaluation of visual and computer‐based CT analysis for the identification of functional patterns of obstruction and restriction in hypersensitivity pneumonitis
Jacob, Joseph , Bartholmai, Brian J. , Brun, Anne‐Laure , Egashira, Ryoko , Rajagopalan, Srinivasan , Karwoski, Ronald A., Kokosi, Maria , Hansell, David M., Wells, Athol U. , Karwoski, Ronald, Kouranos, Vasileios , Bartholmai, Brian J , Egashira, Ryoko

Respirology | July 12, 2017 | Volume: 22 | Issue: 8 | Pages: 1585-1591

10.1111/resp.13122 Get It

ABSTRACTBackground and objectiveTo determine whether computer‐based quantification (CALIPER software) is superior to visual computed tomography (CT) scoring in the identification of CT patterns indicative of restrictive and obstructive functional indices in hypersensitivity pneumonitis (HP).MethodsA total of 135 consecutive HP patients had CT parenchymal patterns evaluated quantitatively by both visual scoring and CALIPER. Results were evaluated against: forced vital capacity (FVC), total lung capacity (TLC), diffusing capacity for carbon monoxide (DLCO) and a composite physiological index (CPI) to identify which CT scoring method better correlated with functional indices.ResultsCALIPER‐derived scores of total interstitial lung disease extent correlated more strongly than visual scores: FVC (CALIPER R = 0.73, visual R = 0.51); DLCO (CALIPER R = 0.61, visual R = 0.48); and CPI (CALIPER R = 0·70, visual R = 0·55). The CT variable that correlated most strongly with restrictive functional indices was CALIPER pulmonary vessel volume (PVV): FVC R = 0.75, DLCO R = 0.68 and CPI R = 0.76.Ground‐glass opacity quantified by CALIPER alone demonstrated strong associations with restrictive functional indices: CALIPER FVC R = 0.65; DLCO R = 0.59; CPI R = 0.64; and visual = not significant. Decreased attenuation lung quantified by CALIPER was a better morphological measure of obstructive lung disease than equivalent visual scores as judged by relationships with TLC (CALIPER R = 0.63 and visual R = 0.12). All results were maintained on multivariate analysis.ConclusionCALIPER improved on visual scoring in HP as judged by restrictive and obstructive functional correlations. Decreased attenuation regions of the lung quantified by CALIPER demonstrated better linkages to obstructive lung physiology than visually quantified CT scores. A novel CALIPER variable, the PVV, demonstrated the strongest linkages with restrictive functional indices and could represent a new automated index of disease severity in HP.
Rheumatoid arthritis related interstitial lung disease: identification of patients with an idiopathic pulmonary fibrosis equivalent outcome using automated CT analysis
Jacob, Joseph , Brun, Anne‐Laure , Rajagopalan, Srinivasan , Karwoski, Ronald A., Kokosi, Maria , Raghunath, Sushravya , Wells, Athol U. , Hansell, David M., Bartholmai, Brian J. , Egashira, Ryoko

QJM: An International Journal of Medicine | February 3, 2017 | Volume: 109 | Issue: suppl_1 | Pages: S13-S14

10.1093/qjmed/hcw126.003 Get It

P078 Evaluation of the functional consequences of emphysema occurring separate to and admixed within regions of fibrosis in patients with idiopathic pulmonary fibrosis
Jacob, Joseph , Rajagopalan, Srinivasan , Kokosi, Maria , Karwoski, Ronald A., Raghunath, Sushravya , Walsh, Simon, Wells, Athol U. , Hansell, David M., Bartholmai, Brian J. , Nair, Arjun , Chua, Felix , Maher, Toby M. , Renzoni, Elisabetta

QJM: An International Journal of Medicine | February 2, 2017 | Volume: 109 | Issue: suppl_1 | Pages: S48-S48

10.1093/qjmed/hcw127.014 Get It

P081 Evaluation of the association of emphysema with pulmonary hypertension and effects on mortality in idiopathic pulmonary fibrosis
Jacob, Joseph , Rajagopalan, Srinivasan , Kokosi, Maria , Karwoski, Ronald A., Raghunath, Sushravya , Walsh, Simon, Wells, Athol U. , Hansell, David M., Bartholmai, Brian J. , Nair, Arjun

QJM: An International Journal of Medicine | February 2, 2017 | Volume: 109 | Issue: suppl_1 | Pages: S49-S50

10.1093/qjmed/hcw127.017 Get It

P041 Computer based quantitative CT analysis of hypersensitivity pneumonitis patients: predicting outcome using advanced stratification techniques
Jacob, Joseph , Mak, M. Perez, Mok, Wing Yan, Casa, GiovanniDella, Walsh, Simon, Wells, Athol U. , Hansell, David M., Bartholmai, Brian J. , Sugino, Keishi

QJM: An International Journal of Medicine | February 1, 2017 | Volume: 109 | Issue: suppl_1 | Pages: S35-S35

10.1093/qjmed/hcw124.013 Get It