The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
The 8th lung cancer TNM classification and clinical staging system: review of the changes and clinical implications
Open accessAbstract
Abstract: Lung cancer is the leading cause of cancer death in both men and women. Clinical staging plays a crucial role in predicting survivor as well as influencing management option in lung cancer patients. Guidelines are constantly being reviewed as more data becomes available to provide the most accurate prognostic markers, hence aiding in the clinical detection and staging of lung cancer. Since its introduction in the 1970s, the TNM staging has undergone significant revisions with the latest, 8th edition, being effective internationally from 2018. This edition re-categorizes the tumour size and other non-quantitative tumour descriptors (T), and further subclassifies extra-thoracic metastases (M). The clinical nodal (N) classifier is unchanged as the earlier version correlates well with prognosis. The downstream effects on staging to accommodate for the new T and M classifications are highlighted. The survival is inversely proportional to every centimeter increase in tumour size up till 7 cm, where the same prognosis as a T4 disease is reached. Hence, some of the T-classifiers based on size of the tumour is upstaged to reflect that. Invasion of the diaphragm is considered T4 instead of T3. On the other hand, involvement of the main bronchus regardless of tumour distance to carina as well as atelectasis is down-staged from a T3 to a T2 disease. Since the 7th edition, new entities of lung tumour known as adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) have been introduced. The T-defining features are also described in this manuscript. Extrathoracic metastases that were classified as M1b in the 7th edition is further subcategorized into M1b and M1c in the 8th edition, to better define oligometastasis which has a better prognosis, and may benefit from more aggressive local therapy. This overview aims to provide radiologists with a description of the changes in the latest edition including staging of subsolid and multiple nodules, outline potential limitations of this 8th edition, as well as discussion on the implications on treatment.
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Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D. M., Forman, D., & Bray, F. (2015) · International Journal of Cancer · doi:10.1002/ijc.29210 · Cited by 28,766
Goldstraw, P., Chansky, K., Crowley, J., Rami-Porta, R., Asamura, H., Eberhardt, W. E. E., Nicholson, A. G., Groome, P., Mitchell, A., Bolejack, V., et al. (2016) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2015.09.009 · Cited by 4,607
Self-citationCancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012
Stimpfel, M., & Virant-Klun, I. (2016) · Journal of Cancer Stem Cell Research · doi:10.14343/jcscr.2016.4e1003 · Cited by 2,540
MacMahon, H., Naidich, D. P., Goo, J. M., Lee, K. S., Leung, A. N. C., Mayo, J. R., Mehta, A. C., Ohno, Y., Powell, C. A., Prokop, M., et al. (2017) · Radiology · doi:10.1148/radiol.2017161659 · Cited by 2,491 · cited 1×
“It is important to note that whilst the Fleischner criteria used for incidental lung nodules, recommends subsolid nodules to be measured in bi-dimensional, orthogonal planes and the value averaged (23), the TNM guidelines dictate that only the greatest average dimension used, where the long and short-axis measurements…”
BackgroundPostmus, P. E., Brambilla, E., Chansky, K., Crowley, J., Goldstraw, P., Patz, E. F., & Yokomise, H. (2007) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e31811f4703 · Cited by 1,594
Martini, N., & Melamed, M. R. (1975) · The Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/s0022-5223(19)40289-4 · Cited by 1,305
Rami-Porta, R., Bolejack, V., Crowley, J., Ball, D., Kim, J., Lyons, G., Rice, T., Suzuki, K., Thomas, C. F., Travis, W. D., et al. (2015) · Journal of Thoracic Oncology · doi:10.1097/jto.0000000000000559 · Cited by 758
Travis, W. D., Asamura, H., Bankier, A. A., Beasley, M. B., Detterbeck, F., Flieder, D. B., Goo, J. M., MacMahon, H., Naidich, D., Nicholson, A. G., et al. (2016) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2016.03.025 · Cited by 722
Self-citationThe IASLC Lung Cancer Staging Project
Eberhardt, W. E. E., Mitchell, A., Crowley, J., Kondo, H., Kim, Y. T., Turrisi, A., Goldstraw, P., & Rami-Porta, R. (2015) · Journal of Thoracic Oncology · doi:10.1097/jto.0000000000000673 · Cited by 412
Rami‐Porta, R., Asamura, H., Travis, W. D., & Rusch, V. W. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21390 · Cited by 408
Cited by
Megyesfalvi, Z., Gay, C. M., Popper, H., Pirker, R., Ostoros, G., Heeke, S., Lang, C., Hoetzenecker, K., Schwendenwein, A., Boettiger, K., et al. (2023) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21785 · Cited by 369
Gao, W., & Yang, M. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.881015 · Cited by 13
Metadata
- Authors
- Lim, W., Ridge, C. A., Nicholson, A. G., & Mirsadraee, S.
- Venue
- Quantitative Imaging in Medicine and Surgery
- Publisher
- AME Publishing Company
- Published
- 2018-08
- Volume
- 8
- Issue
- 7
- Pages
- 709-718
- ISSN
- 2223-4292 (ISSN-L)
- 2223-4306
- OpenAlex
- W2888571505
- Cited by
- 264
- References
- 17
- FWCI
- 17.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
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