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Power to the Pioneers

Power to the Pioneers

Al-Sawaf, O., Weiss, J., Skrzypski, M., Lam, J. M., Karasaki, T., Zambrana, F., Kidd, A. C., Frankell, A. M., Watkins, T. B. K., Martínez-Ruiz, C., Puttick, C., Black, J. R. M., Huebner, A., Bakir, M. A., Sokač, M., Collins, S., Veeriah, S., Magno, N., Naceur-Lombardelli, C., & Prymas, P. (2023). Body composition and lung cancer-associated cachexia in TRACERx. Nature Medicine, 29(4), 846–858. https://doi.org/10.1038/s41591-023-02232-8

Brown LR, Ramage MI, Dolan RD, Sayers J, Bruce N, Dick L, Sami S, McMillan DC, Laird BJA, Wigmore SJ, et al. The Impact of Acute Systemic Inflammation Secondary to Oesophagectomy and Anastomotic Leak on Computed Tomography Body Composition Analyses. Cancers. 2023; 15(9):2577. https://doi.org/10.3390/cancers15092577

Cefalì M, Scala I, Pavone G, Helbling D, Hussung S, Fritsch R, Reiner C, Stocker S, Koeberle D, Kissling M, et al. Is Computed-Tomography-Based Body Composition a Reliable Predictor of Chemotherapy-Related Toxicity in Pancreatic Cancer Patients? Cancers. 2023; 15(17):4398. https://doi.org/10.3390/cancers15174398

 

Charrière, K., Boulouard, Q., Artemova, S., Vilotitch, A., Ferretti, G., Bosson, J., Alexandre Moreau‐Gaudry, Joris Giai, Fontaine, É., & Cécile Betry. (2023). A comparative study of two automated solutions for cross‐sectional skeletal muscle measurement from abdominal computed tomography images. Medical Physics, 50(8), 4973–4980. https://doi.org/10.1002/mp.16261

David Tran Van, Ioanna Drami, Pring, E., Gould, L. E., Phillip, Karteek Popuri, Chow, V., Mirza Faisal Beg, Athanasiou, T., & Jenkins, J. T. (2023). A systematic review of automated segmentation of 3D computed‐tomography scans for volumetric body composition analysis. Journal of Cachexia, Sarcopenia and Muscle, 14(5), 1973–1986. https://doi.org/10.1002/jcsm.13310

Ford, K.L., da Silva, B.R., Limon-Miro, A.T., Prado, C.M. (2023). Analysis of Skeletal Muscle Mass from Preexisting Computerized Tomography (CT) Scans. In: Atherton, P.J., Wilkinson, D.J. (eds) Neuromuscular Assessments of Form and Function. Neuromethods, vol 204. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3315-1_2

Khan A, Welman CJ, Abed A, O’Hanlon S, Redfern A, Azim S, Lopez P, Singh F, Khattak A. Association of Computed Tomography Measures of Muscle and Adipose Tissue and Progressive Changes throughout Treatment with Clinical Endpoints in Patients with Advanced Lung Cancer Treated with Immune Checkpoint Inhibitors. Cancers. 2023; 15(5):1382. https://doi.org/10.3390/cancers15051382

 

Maria Cristina Pirosa, Esposito, F., Raia, G., Chianca, V., Cozzi, A., Ruinelli, L., Ceriani, L., Zucca, E., Filippo Del Grande, & Rizzo, S. (2023). CT-based body composition in diffuse large B cell lymphoma patients: changes after treatment and association with survival. La Radiologia Medica, 128(12), 1497–1507. https://doi.org/10.1007/s11547-023-01723-5

McManus, H. D., Zhang, D., Schwartz, F. R., Wu, Y., Infield, J., Ho, E., Armstrong, A. J., George, D. J., Kruse, D., Gupta, R. T., & Harrison, M. R. (2023). Relationship Between Pretreatment Body Composition and Clinical Outcomes in Patients With Metastatic Renal Cell Carcinoma Receiving First-Line Ipilimumab Plus Nivolumab. Clinical Genitourinary Cancer, 21(6), e429-e437.e2. https://www.sciencedirect.com/science/article/pii/S1558767323001192?casa_token=6BkOUAOIj7AAAAAA:NtHcE9b0CwpGvbTDeyEkS2zFR6RDq678st-mPPhJ0fTR0wK28u2qFViWcKVeIFnARmPTqqqPNw

Mirzai, S., Persits, I., Martens, P., Chen, P.-H., Estep, J. D., & Tang, W. H. W. (2023). Significance of Adipose Tissue Quantity and Distribution on Obesity Paradox in Heart Failure. The American Journal of Cardiology, 207, 339–348. https://www.sciencedirect.com/science/article/pii/S0002914923009190?casa_token=zb9IN5Ot9yYAAAAA:vrC8U3foHjvQJpAtUnWdeiHIbOsEXgaJjx88dQsfmhtwUzUD-YYkLC-4sZeJQyEJvN7C5_Y9Kg
 

Monti M, Prochowski Iamurri A, Bianchini D, Gallio C, Esposito L, Montanari D, Ruscelli S, Molinari C, Foca F, Passardi A, et al. Association between Pre-Treatment Biological Indicators and Compliance to Neoadjuvant/Perioperative Chemotherapy in Operable Gastric Cancer. Nutrients. 2023; 15(16):3604. https://doi.org/10.3390/nu15163604

 

Park, L. K., Lim, K.-H., Volkman, J., Abdiannia, M., Johnston, H., Nigogosyan, Z., Siegel, M. J., McGill, J. B., McKee, A. M., Salam, M., Zhang, R. M., Ma, D., Karteek Popuri, Tze, V., Mirza Faisal Beg, Hawkins, W. G., Peterson, L. R., & Ippolito, J. E. (2023). Safety, tolerability, and effectiveness of the sodium-glucose cotransporter 2 inhibitor (SGLT2i) dapagliflozin in combination with standard chemotherapy for patients with advanced, inoperable pancreatic adenocarcinoma: a phase 1b observational study. 11(1). https://doi.org/10.1186/s40170-023-00306-2

Raia G, Del Grande M, Colombo I, Nerone M, Manganaro L, Gasparri ML, Papadia A, Del Grande F, Rizzo S. Whole-Body Composition Features by Computed Tomography in Ovarian Cancer: Pilot Data on Survival Correlations. Cancers. 2023; 15(9):2602. https://doi.org/10.3390/cancers15092602

Rocha, M. L. das D. (2023). Correlação entre tecido adiposo intramuscular e força muscular em pacientes com câncer colorretal. Monografias.ufop.br. https://monografias.ufop.br/handle/35400000/5546

Urvi A Shah, Tarah J Ballinger, Rusha Bhandari, Christina M Dieli-Conwright, Kristin A Guertin, Elizabeth A Hibler, Faiza Kalam, Ana Elisa Lohmann, Joseph E Ippolito, Imaging modalities for measuring body composition in patients with cancer: opportunities and challenges, JNCI Monographs, Volume 2023, Issue 61, June 2023, Pages 56–67, https://doi.org/10.1093/jncimonographs/lgad001

Vedire, Y.R., Mukherjee, S., Dondapati, S. et al. Association between visceral obesity, metformin use, and recurrence risk in early-stage colorectal cancer. Sci Rep 13, 8401 (2023). https://doi.org/10.1038/s41598-023-34690-y

Anyene I., Caan B., Williams G. R., Popuri K., Lenchik L., Giri S., Chow V., Beg M. F., and Cespedes Feliciano E. M. (2022) Body composition from single versus multi-slice abdominal computed tomography: Concordance and associations with colorectal cancer survival, Journal of Cachexia, Sarcopenia and Muscle, 13, 2974–2984, doi: https://doi.org/10.1002/jcsm.13080

Boshier, P. R., Fredrik Klevebro, Schmidt, A., Han, S., Jenq, W., Puccetti, F., Maarten F. J. Seesing, Baracos, V. E., & Low, D. E. (2022). Impact of Early Jejunostomy Tube Feeding on Clinical Outcome and Parameters of Body Composition in Esophageal Cancer Patients Receiving Multimodal Therapy. Annals of Surgical Oncology, 29(9), 5689–5697. https://doi.org/10.1245/s10434-022-11754-3

Byrne, C. (2022, December 1). Body Composition and Biomarkers to Explore Disparities in Sarcopenia and Inflammation of Lung Cancer. Indigo.uic.edu. https://indigo.uic.edu/articles/thesis/Body_Composition_and_Biomarkers_to_Explore_Disparities_in_Sarcopenia_and_Inflammation_of_Lung_Cancer/22226497

Byrne, C. A., Zhang, Y., Fantuzzi, G., Geesey, T., Shah, P., & Gomez, S. L. (2022). Validation of skeletal muscle and adipose tissue measurements using a fully automated body composition analysis neural network versus a semi-automatic reference program with human correction in patients with lung cancer. Heliyon, 8(12), e12536. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816970/

 

Dzimitrowicz, H., Schwartz, F. R., Infield, J., Zhang, D., Ho, E., Wu, Y., Gupta, R. T., & Harrison, M. R. (2022). Body composition in patients with metastatic renal cell carcinoma receiving ipilimumab plus nivolumab. Journal of Clinical Oncology, 40(16_suppl), e16517–e16517. https://doi.org/10.1200/jco.2022.40.16_suppl.e16517

Gomez-Perez SL, Zhang Y, Byrne C, Wakefield C, Geesey T, Sclamberg J, Peterson S. Concordance of Computed Tomography Regional Body Composition Analysis Using a Fully Automated Open-Source Neural Network versus a Reference Semi-Automated Program with Manual Correction. Sensors. 2022; 22(9):3357. https://doi.org/10.3390/s22093357

Hajime Yamazaki, Shinichi Tauchi, Jürgen Machann, Tobias Haueise, Yosuke Yamamoto, Mitsuru Dohke, Nagisa Hanawa, Yoshihisa Kodama, Akio Katanuma, Norbert Stefan, Andreas Fritsche, Andreas L. Birkenfeld, Róbert Wagner, Martin Heni; Fat Distribution Patterns and Future Type 2 Diabetes. Diabetes 1 September 2022; 71 (9): 1937–1945. https://doi.org/10.2337/db22-0315

Halliday, L. J., Boshier, P. R., Doganay, E., Wynter-Blyth, V., Buckley, J. P., & Moorthy, K. (2022). The effects of prehabilitation on body composition in patients undergoing multimodal therapy for esophageal cancer. Diseases of the Esophagus. https://doi.org/10.1093/dote/doac046

Nitsche L, Vedire Y, Kannisto E, Wang X, Seager RJ, Pabla S, Patnaik SK, Yendamuri S. Visceral Obesity in Non-Small Cell Lung Cancer. Cancers. 2022; 14(14):3450. https://doi.org/10.3390/cancers14143450

Ohashi, N., Koike, K., Sakai, K., Nishiyama, K., Sasaki, T., Ogi, K., Dehari, H., Kobayashi, N., & Miyazaki, A. (2022). Accurate estimation of skeletal muscle mass by comparison of computed tomographic images of the third lumbar and third cervical vertebrae in Japanese patients with oral squamous cell carcinoma. Oral Radiology. https://doi.org/10.1007/s11282-022-00653-8

Prado, C. M., Ford, K. L., Gonzalez, M. C., Murnane, L. C., Gillis, C., Wischmeyer, P. E., Morrison, C. A., & Lobo, D. N. (2022). Nascent to novel methods to evaluate malnutrition and frailty in the surgical patient. Journal of Parenteral and Enteral Nutrition. https://doi.org/10.1002/jpen.2420

Ranallo N, Iamurri AP, Foca F, Liverani C, De Vita A, Mercatali L, Calabrese C, Spadazzi C, Fabbri C, Cavaliere D, et al. Prognostic and Predictive Role of Body Composition in Metastatic Neuroendocrine Tumor Patients Treated with Everolimus: A Real-World Data Analysis. Cancers. 2022; 14(13):3231. https://doi.org/10.3390/cancers14133231

Rigiroli, F., Zhang, D., Molinger, J., Wang, Y., Chang, A., Wischmeyer, P. E., Inman, B. A., & Gupta, R. T. (2022). Automated versus manual analysis of body composition measures on computed tomography in patients with bladder cancer. European Journal of Radiology, 154, 110413. https://www.sciencedirect.com/science/article/abs/pii/S0720048X22002637
 

Zaffina, C., Wyttenbach, R., Pagnamenta, A., Grasso, R. F., Biroli, M., Del Grande, F., & Rizzo, S. (2022). Body composition assessment: comparison of quantitative values between magnetic resonance imaging and computed tomography. Quantitative imaging in medicine and surgery, 12(2), 1450–1466. https://doi.org/10.21037/qims-21-619

Boshier, P. R., Klevebro, F., Jenq, W., Puccetti, F., Muthuswamy, K., Hanna, G. B., & Low, D. E. (2021). Long-term variation in skeletal muscle and adiposity in patients undergoing esophagectomy. Diseases of the Esophagus, 34(11). https://doi.org/10.1093/dote/doab016

Candidate, S., Patricia, S., González, C., Bodnarescu, & Filippo Molinari. (2021). POLITECNICO DI TORINO Master’s Degree in Biomedical Engineering Development of an automatic algorithm for the detection of the third lumbar vertebra in CT scan. https://webthesis.biblio.polito.it/17574/1/tesi.pdf

Caudron, L., Bussy, A., Artemova, S., Charrière, K., El Lakkiss, S., Moreau‐Gaudry, A., Bosson, J., Ferretti, G. R., Fontaine, E., & Bétry, C. (2021). Sarcopenia diagnosis: comparison of automated with manual computed tomography segmentation in clinical routine. JCSM Rapid Communications, 4(2), 103–110. https://doi.org/10.1002/rco2.37
 

Iukuridze, A., Berano Teh, J., Ramos, J., Vera, T. C., Lee, K., Bhandari, R., Artz, A. S., Budde, E., Herrera, A. F., Popplewell, L. L., Shouse, G., Siddiqi, T., Forman, S. J., Wong, L., & Armenian, S. H. (2021). Sarcopenia Is a Clinically Relevant and Independent Predictor of Health Outcomes after Chimeric Antigen Receptor T-Cell Therapy for Lymphoma. Blood, 138, 2502. https://doi.org/10.1182/blood-2021-149784

Malik, M., Michalak, M., Radecka, B., Gełej, M., Jackowska, A., Filipczyk-Cisarż, E., Hetman, K., Foszczyńska-Kłoda, M., Kania-Zembaczyńska, B., Mańka, D., Orlikowska, M., Rogowska-Droś, H., & Bodnar, L. (2021). Prognostic Value of Sarcopenia in Metastatic Colorectal Cancer Patients Treated with Trifluridine/Tipiracil. Journal of clinical medicine, 10(21), 5107. https://doi.org/10.3390/jcm10215107

Pring, E., Gould, L. E., Malietzis, G., Lung, P., Bharal, M., Tutu Fadodun, Bassett, P., Mani Naghibi, Taylor, C., Ioanna Drami, Chauhan, D., Street, T., Francis, N., Athanasiou, T., Saxton, J., & Jenkins, J. T. (2021). BiCyCLE NMES—neuromuscular electrical stimulation in the perioperative treatment of sarcopenia and myosteatosis in advanced rectal cancer patients: design and methodology of a phase II randomised controlled trial. Trials, 22(1). https://doi.org/10.1186/s13063-021-05573-2
 

Cespedes, E. M., Karteek Popuri, Cobzaş, D., Baracos, V. E., Mirza Faisal Beg, Arafat Dad Khan, Ma, C., Chow, V., Prado, C. M., Xiao, J., Liu, V., Chen, W. Y., Meyerhardt, J. A., Albers, K., & Caan, B. J. (2020). Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients. Journal of Cachexia, Sarcopenia and Muscle, 11(5), 1258–1269. https://doi.org/10.1002/jcsm.1257

Miller, J., Dreczkowski, G., Ramage, M. I., Wigmore, S. J., Gallagher, I. J., & Skipworth, R. J. E. (2020). Adipose depot gene expression and intelectin-1 in the metabolic response to cancer and cachexia. Journal of Cachexia, Sarcopenia and Muscle. https://doi.org/10.1002/jcsm.12568

Miller, J., Dreczkowski, G., Ramage, M. I., Wigmore, S. J., Gallagher, I. J., & Skipworth, R. J. E. (2020). Adipose depot gene expression and intelectin-1 in the metabolic response to cancer and cachexia. Journal of Cachexia, Sarcopenia and Muscle. https://doi.org/10.1002/jcsm.12568

 

Weiss, J., Pennell, N. A., Deal, A. M., Morgensztern, D., Bradford, D. S., Crane, J. M., West, H., Lee, C., Pecot, C. V., Stevenson, J. P., Irvin, W., Socinski, M. A., Stinchcombe, T., Villaruz, L. C., & Muss, H. B. (2020). Nab‐paclitaxel in older patients with non–small cell lung cancer who have developed disease progression after platinum‐based doublet chemotherapy. Cancer, 126(5), 1060–1067. https://doi.org/10.1002/cncr.32573

Hermosilla Samayoa, C., & Jagoe (Supervisor), R. T. (n.d.). Nutritional status and response to immunotherapy in lung cancer patients. Escholarship.mcgill.ca. Retrieved January 2, 2024, from https://escholarship.mcgill.ca/concern/theses/gm80j194s

Meyers, L. (2019). The feasibility of using CT scans to detect changes in body composition over time in colon cancer survivors enrolled in a physical activity intervention (T). University of British Columbia. Retrieved from https://open.library.ubc.ca/collections/ubctheses/24/items/1.038324

Strulov Shachar, S., Deal, A. M., Weinberg, M., Williams, G. R., Nyrop, K. A., Popuri, K., Choi, S. K., & Muss, H. B. (2017). Body Composition as a Predictor of Toxicity in Patients Receiving Anthracycline and Taxane–Based Chemotherapy for Early-Stage Breast Cancer. Clinical Cancer Research, 23(14), 3537–3543. From https://doi.org/10.1158/1078-0432.CCR-16-2266

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