| ARCHETYPE ID | openEHR-EHR-CLUSTER.tnm-pathological.v1 |
|---|---|
| Concept | TNM pathological classification |
| Description | A framework for the pathological classification and stage grouping of malignancies using the TNM system. |
| Use | Use to record the pathological classification, designated as pTNM, and stage grouping of malignancies. This archetype has been designed to be nested inside an ENTRY or appropriate CLUSTER archetype which will provide a clinical or pathological context and the tumour type for the TNM record - for example: the 'Specific details' SLOT within the EVALUATION.problem_diagnosis archetype; or nested in an appropriate histopathology-related CLUSTER archetype within the OBSERVATION.laboratory_test_result context. Each cancer has a set of unique pTNM classification values. It is expected that this archetype will be further constrained to reflect the unique requirements for each tumour and edition of the TNM classification, using either an archetype specialisation or a template. With certain types of tumours, such as Hodgkin and other non-Hodgkin lymphomas, a different system for designating the extent of disease and prognosis is used. In these circumstances only the stage group is defined. |
| Misuse | Not to be used to record the TNM clinical classification - use the CLUSTER.tnm archetype for this purpose. |
| Purpose | To record the pathological classification and stage grouping of malignancies using the TNM system. |
| References | Brierley JD, Gospodarowicz MK, Wittekind C. TNM Classification of Malignant Tumours, 8th Edition. Wiley-Springer; 2016. 272 p. Principles of Cancer Staging. AJCC American Joint Committee on Cancer; [cited 2019 03 15]. Available at: https://cancerstaging.org/references-tools/deskreferences/Documents/Principles%20of%20Cancer%20Staging.pdf. TNM Classification Help (Manual for Cancer Staging); [cited 2019 10 04]. Available at: http://cancerstaging.blogspot.com/. |
| Copyright | © openEHR Foundation |
| Authors | Author name: Heather Leslie Organisation: Atomica Informatics Email: heather.leslie@atomicainformatics.com Date originally authored: 2016-08-26 |
| Other Details Language | Author name: Heather Leslie Organisation: Atomica Informatics Email: heather.leslie@atomicainformatics.com Date originally authored: 2016-08-26 |
| Other Details (Language Independent) |
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| Keywords | TNM, cancer, tumour, pTNM, grading, staging, malignancy, classification, grouping, stage, neoplasia |
| Lifecycle | published |
| UID | 3c3e21f0-0141-40c0-b0c3-d9a45d133dfe |
| Language used | en |
| Citeable Identifier | 1246.145.832 |
| Revision Number | 1.0.3 |
| Archetype Concept Comment | Designated as pTNM. |
| items | |
| Anatomical site | Anatomical site: The anatomical site where the assessed tumour is situated. Use the value from the TNM variant for each type of cancer. For example: stomach; or small intestine. |
| Anatomical subsite | Anatomical subsite: The anatomical subsite where the assessed tumour is situated. Use the value from the TNM variant for each type of cancer. For example: cardia, fundus, corpus, antrum and pylorus (stomach); or duodenum, jejunum or ileum (small intestine). |
| Primary tumour (pT) | Primary tumour (pT): Assessment of the extent of the primary tumour. Coding with a T code appropriate for the tumour type and anatomical site is expected. For example: 'pT1'; or 'pT3'. Represented as 'pT' in the 'TNM assessment'. |
| Regional lymph nodes (pN) | Regional lymph nodes (pN): Assessment of the absence or presence and extent of regional lymph node metastasis. Coding with an N code appropriate for the tumour type and anatomical site is expected. For example: 'pNX'; or 'pN2'. Represented as 'pN' in the 'TNM assessment'. |
| Distant metastasis (pM) | Distant metastasis (pM): Assessment of the absence or presence of distant metastasis. Coding with an M code appropriate for the tumour type and anatomical site is expected. For example: 'pM1'. Represented as 'pM' in the 'TNM assessment'. |
| Histopathological grade (G) | Histopathological grade (G): Histopathological grading of the tumour. Pretreatment histopathological assessment may be determined from a limited biopsy prior to formal resection. Coding with a G code appropriate for the identified tumour type and anatomical site is expected. For example: 'G2'; 'GX'; or 'low grade' for bone and soft tissue sarcoma classification. Represented as 'G' within the 'TNM assessment'. |
| Residual tumour (R) | Residual tumour (R): Assessment of the presence of residual tumour after treatment. For example: 'R2 (Macroscopic residual tumour)'. Represented as 'R' within the 'TNM assessment'.
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| Lymphatic invasion (L) | Lymphatic invasion (L): Assessment of invasion into the lymphatic system. For example: 'L0 (No lymphatic invasion)'. Represented as 'L' within the 'TNM assessment'.
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| Venous invasion (V) | Venous invasion (V): Assessment of invasion into the venous system. For example: 'V1 (Microscopic venous invasion)'. Represented as 'V' within the 'TNM assessment'.
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| Perineural invasion (Pn) | Perineural invasion (Pn): Assessment of invasion into the space surrounding nerves. For example: 'Pn0 (No perineural invasion)'. Represented as 'Pn' within the 'TNM assessment'.
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| Multiple primary tumours (m) | Multiple primary tumours (m): Presence of multiple simultaneous primary tumours at a single site. Represented by the suffix, either as '(m)' or the number of primary tumours added to the T code. For example: 'pT2(m)' or 'pT2(4)'. Represented as 'pm' within the 'TNM assessment'. Choice of:
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| Multimodality therapy (y) | Multimodality therapy (y): Record as True if assessment is performed during or following initial multimodal therapy. Represented by the prefix 'y' added to the 'TNM assessment'. Allowed values: {true} |
| Recurrent (r) | Recurrent (r): Record as True if assessment is performed for a recurring cancer after a disease-free interval. Represented by the prefix 'r' added to the 'TNM assessment'. Allowed values: {true} |
| Autopsy (a) | Autopsy (a): Record as True if assessment is performed at postmortem examination. Represented by the prefix 'a' added to the 'TNM assessment'. Allowed values: {true} |
| Carcinoma in situ (is) | Carcinoma in situ (is): Record as True if presence of carcinoma in situ associated with the primary tumour. Represented by the prefix 'is' added to the 'TNM assessment'. Allowed values: {true} |
| pTNM assessment | pTNM assessment: Concatenation of 'pT', 'pN' and 'pM' assessments plus any optional assessments of 'G', 'R', 'L', 'V', prefixes and/or suffixes, as applicable. |
| Stage grouping | Stage grouping: The categorisation of the anatomical stage of the tumour, usually based on pTNM assessment. For example: carcinoma in situ is categorised as stage 0; or tumours with distant metastasis are categorised as stage IV. |
| TNM Edition | TNM Edition: The edition of the TNM classification system used for the assessment. |
| Sentinel node (sn) | Sentinel node (sn): Record as True if presence of metastasis within one or more sentinel node(s). Represented by the suffix 'sn' added to the 'TNM assessment'. Allowed values: {true} |
| Micrometastases (mi) | Micrometastases (mi): Record as True if presence of micrometastases in the regional lymph drainage area of the primary tumour. Represented by the suffix 'mi' added to the 'TNM assessment'. Allowed values: {true} |
| Regional lymph node ITC | Regional lymph node ITC: Presence of isolated tumour cells (ITC) detected by H&E stains or immunohistochemistry in regional lymph nodes. For example 'pN0(i-) No regional lymph node metastasis histologically, negative morphological findings for ITC'; 'pN0(mol+) No regional lymph node metastasis histologically, positive non morphological findings for ITC'; or 'pN0(i+)(sn) No sentinel lymph node metastasis histologically, positive morphological findings for ITC'.
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| Distant metastasis ITC | Distant metastasis ITC: Presence of isolated tumour cells (ITC) detected by H&E stains or immunohistochemistry as distant metastases, such as bone marrow. For example: 'pM0(i+)' or 'pM0(mol+)'.
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| Other contributors | Vebjørn Arntzen, Oslo University Hospital, Norway (openEHR Editor) Heidi Aursand, Oslo universitetssykehus, Norway Silje Ljosland Bakke, Helse Vest IKT AS, Norway (openEHR Editor) Vegar Dagenborg, OUS, Norway Kristin Eik, Kreftregisteret, Norway Hildegard Franke, freshEHR Clinical Informatics Ltd. UK Sergey Kovalenko, Chelyabinsk Regional Children Hospital, Russia Siri Laronningen, Kreftregisteret, Norway Liv Laugen, Oslo universitetssykehus, Norway Sabine Leh, Haukeland University Hospital, Department of Pathology, Norway Miha Lenic, Marand, Slovenia Heather Leslie, Atomica Informatics, Australia (openEHR Editor) Ian McNicoll, freshEHR Clinical Informatics Ltd. UK Bjørn Næss, DIPS ASA, Norway SARA PRETE, Abinsula, Italy Natalia Strauch, Medizinische Hochschule Hannover, Germany Norwegian Review Summary, Nasjonal IKT HF, Norway John Tore Valand, Helse Bergen, Norway (openEHR Editor) |
| Translators |
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