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Hathaway Q, Ibad HA, Bluemke DA, Pishgar F, Kasaiean A, Klein JG, Cogswell R, Allison M, Budoff MJ, Barr RG, Post W, Bredella MA, Lima JAC, Demehri S. Predictive Value of Deep Learning-derived CT Pectoralis Muscle and Adipose Measurements for Incident Heart Failure: Multi-Ethnic Study of Atherosclerosis. Radiol Cardiothorac Imaging 2023; 5:e230146. [PMID: 37908549 PMCID: PMC10613925 DOI: 10.1148/ryct.230146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Purpose To develop a deep learning algorithm capable of extracting pectoralis muscle and adipose measurements and to longitudinally investigate associations between these measurements and incident heart failure (HF) in participants from the Multi-Ethnic Study of Atherosclerosis (MESA). Materials and Methods MESA is a prospective study of subclinical cardiovascular disease characteristics and risk factors for progression to clinically overt disease approved by institutional review boards of six participating centers (ClinicalTrials.gov identifier: NCT00005487). All participants with adequate imaging and clinical data from the fifth examination of MESA were included in this study. Hence, in this secondary analysis, manual segmentations of 600 chest CT examinations (between the years 2010 and 2012) were used to train and validate a convolutional neural network, which subsequently extracted pectoralis muscle and adipose (intermuscular adipose tissue (IMAT), perimuscular adipose tissue (PAT), extramyocellular lipids and subcutaneous adipose tissue) area measurements from 3031 CT examinations using individualized thresholds for adipose segmentation. Next, 1781 participants without baseline HF were longitudinally investigated for associations between baseline pectoralis muscle and adipose measurements and incident HF using crude and adjusted Cox proportional hazards models. The full models were adjusted for variables in categories of demographic (age, race, sex, income), clinical/laboratory (including physical activity, BMI, and smoking), CT (coronary artery calcium score), and cardiac MRI (left ventricular ejection fraction and mass (% of predicted)) data. Results In 1781 participants (median age, 68 (IQR,61, 75) years; 907 [51%] females), 41 incident HF events occurred over a median 6.5-year follow-up. IMAT predicted incident HF in unadjusted (hazard ratio [HR]:1.14; 95% CI: 1.03-1.26) and fully adjusted (HR:1.16, 95% CI: 1.03-1.31) models. PAT also predicted incident HF in crude (HR:1.19; 95% CI: 1.06-1.35) and fully adjusted (HR:1.25; 95% CI: 1.07-1.46) models. Conclusion The study demonstrates that fast and reliable deep learning-derived pectoralis muscle and adipose measurements are obtainable from conventional chest CT, which may be predictive of incident HF.©RSNA, 2023.
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Affiliation(s)
| | | | - David A. Bluemke
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - Farhad Pishgar
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - Arta Kasaiean
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - Joshua G. Klein
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - Rebecca Cogswell
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - Matthew Allison
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - Matthew J. Budoff
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - R. Graham Barr
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - Wendy Post
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - Miriam A. Bredella
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - João A. C. Lima
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
| | - Shadpour Demehri
- From the School of Medicine, West Virginia University, Morgantown, WV
(Q.H.); Russell H. Morgan Department of Radiology and Radiological Sciences
(H.A.I., F.P., A.K., J.G.K., S.D.) and Division of Cardiology, Department of
Medicine (W.P., J.A.C.L.), Johns Hopkins University School of Medicine, 601 N
Caroline St, JHOC 5165, Baltimore, MD 21287; Department of Radiology, University
of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.);
Department of Medicine, University of Minnesota, Minneapolis, Minn (R.C.);
Department of Family Medicine and Public Health, University of California San
Diego, La Jolla, Calif (M.A.); Lundquist Institute at Harbor-University of
California Los Angeles School of Medicine, Torrance, Calif (M.J.B.); Departments
of Medicine and Epidemiology, Columbia University Medical Center, New York, NY
(R.G.B.); and Department of Radiology, Massachusetts General Hospital and
Harvard Medical School, Boston, Mass (M.A.B.)
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McGale J, Hama J, Yeh R, Vercellino L, Sun R, Lopci E, Ammari S, Dercle L. Artificial Intelligence and Radiomics: Clinical Applications for Patients with Advanced Melanoma Treated with Immunotherapy. Diagnostics (Basel) 2023; 13:3065. [PMID: 37835808 PMCID: PMC10573034 DOI: 10.3390/diagnostics13193065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 09/01/2023] [Accepted: 09/06/2023] [Indexed: 10/15/2023] Open
Abstract
Immunotherapy has greatly improved the outcomes of patients with metastatic melanoma. However, it has also led to new patterns of response and progression, creating an unmet need for better biomarkers to identify patients likely to achieve a lasting clinical benefit or experience immune-related adverse events. In this study, we performed a focused literature survey covering the application of artificial intelligence (AI; in the form of radiomics, machine learning, and deep learning) to patients diagnosed with melanoma and treated with immunotherapy, reviewing 12 studies relevant to the topic published up to early 2022. The most commonly investigated imaging modality was CT imaging in isolation (n = 9, 75.0%), while patient cohorts were most frequently recruited retrospectively and from single institutions (n = 7, 58.3%). Most studies concerned the development of AI tools to assist in prognostication (n = 5, 41.7%) or the prediction of treatment response (n = 6, 50.0%). Validation methods were disparate, with two studies (16.7%) performing no validation and equal numbers using cross-validation (n = 3, 25%), a validation set (n = 3, 25%), or a test set (n = 3, 25%). Only one study used both validation and test sets (n = 1, 8.3%). Overall, promising results have been observed for the application of AI to immunotherapy-treated melanoma. Further improvement and eventual integration into clinical practice may be achieved through the implementation of rigorous validation using heterogeneous, prospective patient cohorts.
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Affiliation(s)
- Jeremy McGale
- Department of Radiology, New York-Presbyterian Hospital, New York, NY 10032, USA
| | - Jakob Hama
- Queens Hospital Center, Icahn School of Medicine at Mt. Sinai, Queens, NY 10029, USA
| | - Randy Yeh
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Laetitia Vercellino
- Nuclear Medicine Department, INSERM UMR S942, Hôpital Saint-Louis, Assistance-Publique, Hôpitaux de Paris, Université Paris Cité, 75010 Paris, France
| | - Roger Sun
- Department of Radiation Oncology, Gustave Roussy, 94800 Villejuif, France
| | - Egesta Lopci
- Nuclear Medicine Unit, IRCCS—Humanitas Research Hospital, 20089 Rozzano, MI, Italy
| | - Samy Ammari
- Department of Medical Imaging, BIOMAPS, UMR1281 INSERM, CEA, CNRS, Gustave Roussy, Université Paris-Saclay, 94800 Villejuif, France
- ELSAN Department of Radiology, Institut de Cancérologie Paris Nord, 95200 Sarcelles, France
| | - Laurent Dercle
- Department of Radiology, New York-Presbyterian Hospital, New York, NY 10032, USA
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Yamada Y, Shimada Y, Makino Y, Kudo Y, Maehara S, Yamada T, Hagiwara M, Kakihana M, Ohira T, Ikeda N. Clinical utility of psoas muscle volume in assessment of sarcopenia in patients with early-stage non-small cell lung cancer. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04234-4. [PMID: 35916994 DOI: 10.1007/s00432-022-04234-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 07/20/2022] [Indexed: 10/16/2022]
Abstract
PURPOSE Sarcopenia influences postoperative outcomes of patients with non-small cell lung cancer (NSCLC). Imaging tools for evaluating and diagnosing sarcopenia have developed, and a novel method of psoas volume index (PVI) obtained by measuring bilateral psoas major muscle volume has been reported. However, the relationship between sarcopenia based on PVI and clinical outcomes has not been fully investigated for patients with early-stage NSCLC. This study aimed to clarify the utility of PVI values in assessing the relationshipe between sarcopenia and clinical outcomes. METHODS This study included 645 patients with stage I-II NSCLC who underwent curative lung resection between 2012 and 2017. Bilateral psoas major muscle volumes were calculated semi-automatically using a three-dimensional workstation. The cutoff value of PVI for defining sarcopenia was < 60.5 cm3/m3 for men and < 43.6 cm3/m3 for women. RESULTS The avrage time to obtaine PVI was only 25 s with the 3D system, and interobserver agreements for evauating sarcopenia on PVI was 1. A total of 159 patients (24.7%) were preoperatively diagnosed with sarcopenia. On multivariate analysis, sarcopenia was an independent prognostic factor for overall survival (OS, p < 0.001), recurrence-free survival (RFS, p < 0.001), and lung cancer-specific survival (LCS, p < 0.001). The 5-year OS, RFS, and LCS were significantly worse in sarcopenic patients than non-sarcopenic patients (88.8 vs. 72.4%, p < 0.001; 80.1 vs. 65.0%, p < 0.001; 92.4 vs. 78.9%, p < 0.001, respectively). CONCLUSION Sarcopenia diagnosed using PVI is an independent prognostic predictor of OS, RFS, and LCS in early-stage NSCLC.
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Affiliation(s)
- Yuki Yamada
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan
| | - Yoshihisa Shimada
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
| | - Yojiro Makino
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan
| | - Yujin Kudo
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan
| | - Sachio Maehara
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan
| | - Takafumi Yamada
- Department of Radiology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan
| | - Masaru Hagiwara
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan
| | - Masatoshi Kakihana
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan
| | - Tatsuo Ohira
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan
| | - Norihiko Ikeda
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan
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