Subject(s)
Melanoma , Sentinel Lymph Node Biopsy , Sentinel Lymph Node , Humans , Melanoma/pathology , Melanoma/surgery , Sentinel Lymph Node Biopsy/methods , Sentinel Lymph Node/pathology , Sentinel Lymph Node/surgery , Prognosis , Risk Assessment , Skin Neoplasms/pathology , Skin Neoplasms/surgery , Neoplasm Staging , Disease Management , Internet , Lymphatic MetastasisSubject(s)
Melanoma , Sentinel Lymph Node Biopsy , Sentinel Lymph Node , Humans , Melanoma/pathology , Melanoma/surgery , Sentinel Lymph Node Biopsy/methods , Sentinel Lymph Node/pathology , Sentinel Lymph Node/surgery , Risk Assessment , Skin Neoplasms/pathology , Skin Neoplasms/surgery , Internet , Prognosis , Neoplasm StagingABSTRACT
BACKGROUND: Predicting which patients with American Joint Committee on Cancer (AJCC) T1-T2 melanomas will have a positive sentinel lymph node (SLN) is challenging. Melanoma Institute Australia (MIA) developed an internationally validated SLN metastatic risk calculator. This study evaluated the nomogram's impact on T1-T2 melanoma patient management at MIA. METHODS: SLN biopsy (SLNB) rates were compared for the pre- and post-nomogram periods of 1 July 2018-30 June 2019 and 1 August 2020-31 July 2021, respectively. RESULTS: Overall, 850 patients were identified (pre-nomogram, 383; post-nomogram, 467). SLNB was performed in 29.0% of patients in the pre-nomogram group and 34.5% in the post-nomogram group (p = 0.091). The overall positivity rate was 16.2% in the pre-nomogram group and 14.9% in the post-nomogram group (p = 0.223). SLNB was performed less frequently in T1a melanoma patients in the pre-nomogram group (1.1%, n = 2/177) than in the post-nomogram group (8.6%, n = 17/198) [p ≤ 0.001]. This increase was particularly for melanomas with a risk score ≥ 5%, with an SLN positivity rate of 11.8% in the post-nomogram group (p = 0.004) compared with zero. For T1b melanomas with a risk score of > 10%, the SLNB rate was 40.0% (8/20) pre-nomogram and 75.0% (12/16) post-nomogram (p = 0.049). CONCLUSIONS: In this specialized center, the SLN risk calculator appears to influence practice for melanomas previously considered low risk for metastasis, with increased use of SLNB for T1a and higher-risk T1b melanomas. Further evaluation is required across broader practice settings. Melanoma management guidelines could be updated to incorporate the availability of nomograms to better select patients for SLNB than previous criteria.
Subject(s)
Melanoma , Nomograms , Sentinel Lymph Node Biopsy , Sentinel Lymph Node , Skin Neoplasms , Humans , Melanoma/pathology , Melanoma/surgery , Female , Male , Middle Aged , Sentinel Lymph Node/pathology , Sentinel Lymph Node/surgery , Risk Assessment , Skin Neoplasms/pathology , Skin Neoplasms/surgery , Aged , Follow-Up Studies , Prognosis , Adult , Lymphatic Metastasis , Neoplasm Staging , Retrospective Studies , Aged, 80 and overABSTRACT
BACKGROUND: Breast cancer patients having neoadjuvant systemic therapy (NAST) who have a positive (clipped) lymph node (CN) at presentation must have that CN removed to assess pathologic response at later surgery. Multiple techniques for localizing the CN have been described. We describe a novel ROLL-based approach. METHODS: Consecutive patients between 2018 and 2021, having NAST with biopsy proven positive lymph node(s), had a clip placed into the most abnormal node(s). At later surgery sentinel node and occult lesion localization (SNOLL) was performed with peritumoral radio-isotope (99m Tc-Nanoscan) injected under ultrasound guidance. Planar and single photon emission computed tomography (SPECT-CT) images were used to identify sentinel nodes (SN) and the CN. If the CN was not a SN, then additional 99m Tc-Nanoscan was injected directly into the CN using ultrasound (ROLL). TAD was performed using a gamma probe and intra-operative specimen radiographs to confirm excision of the CN. RESULTS: Thirty-eight patients underwent TAD. 20/38 CNs were SNs on SPECT-CT. 17/38 CN were localized separately. 1/38 CN was not a SN and could not be identified on ultrasound. The remaining 37/38 (97.4%) of the CNs were removed intra-operatively. Pathological complete response in the axilla was identified in 18/38 cases. The CN was the only positive node in 10/20 cases. In 18/20 cases the CN contained the largest tumour deposit. CONCLUSION: Combining SNOLL and ROLL techniques to identify the SNs and, if separate, the CN for TAD is very reliable and logistically robust, especially for units already performing peritumoral lymphoscintigraphy.
Subject(s)
Breast Neoplasms , Humans , Female , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/surgery , Breast Neoplasms/pathology , Sentinel Lymph Node Biopsy/methods , Lymphatic Metastasis/pathology , Lymph Node Excision/methods , Axilla/pathology , Lymph Nodes/pathology , Neoadjuvant Therapy , Surgical Instruments , Isotopes , Neoplasm StagingABSTRACT
BACKGROUND: Pathological complete response (pCR), in breast cancers, after neoadjuvant chemotherapy is linked to improved survival. Determining complete response to chemotherapy prior to surgery has remained elusive even using a combination of pathological factors and imaging modalities, making surgery still a necessity. METHODS: A retrospective analysis was performed from a single institution from 2013 to 2018. Breast cancer patients treated with neoadjuvant chemotherapy with pre- and post-chemotherapy magnetic resonance imaging (MRI) were included. Patients receiving other neoadjuvant modalities were excluded. Imaging characteristics, including response to chemotherapy and pathological factors, were recorded. RESULTS: Analysis showed 134 patients were identified with 40/134 (29.9%) noted to have radiological complete response and 34/134 (25.6%) had pCR. The positive predictive value for MRI to detect pCR was greatest for oestrogen receptor (ER) negative and human epidermal growth factor receptor 2 (HER2) negative tumours at 81.8% and worst for ER+ HER2- tumours at 25%. The negative predictive value was greatest for ER+ HER2- tumours at 93.9% and worst for ER- HER2- tumours at 77.4%. CONCLUSION: MRI after neoadjuvant chemotherapy for breast cancer even combined with tumour factors is not an accurate predictor of pCR.
Subject(s)
Breast Neoplasms , Neoadjuvant Therapy , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/drug therapy , Female , Humans , Receptor, ErbB-2 , Receptors, Estrogen/therapeutic use , Retrospective Studies , Treatment OutcomeABSTRACT
Obesity has been linked to an increased prevalence in multiple cancers. Studies have suggested a reduction in the overall risk of cancer after bariatric surgery. We reviewed the evidence for bariatric surgery reducing the risk of endometrial cancer. Data was extracted from PubMed, EMBASE, and Medline to perform a systematic review. Thirty-one full text articles were identified from 265 abstracts. Nine observational studies were relevant to endometrial cancer. In the five controlled studies, 462 of 113,032 (0.4%) patients receiving bariatric surgery versus 11,997 of 848,864 (1.4%) controls developed endometrial cancer, odds ratio of 0.317 (95% CI 0.161 to 0.627) using random effects model (P < 0.001). Bariatric surgery seems to reduce the risk of endometrial cancer; however, more research is required.
Subject(s)
Bariatric Surgery , Endometrial Neoplasms/epidemiology , Obesity, Morbid/surgery , Endometrial Neoplasms/etiology , Female , Humans , Incidence , Obesity, Morbid/complicationsABSTRACT
We reviewed the evidence for bariatric surgery reducing the risk of breast cancer. Data was extracted from multiple libraries, including PubMed, EMBASE, and Medline, to perform a systematic review. Abstracts were reviewed by two independent reviewers. Thirty-eight full-text articles were identified from 1171 abstracts. Four studies were included for meta-analysis; 114 of 10,533 (1.1%) patients receiving bariatric surgery versus 516 of 20,130 (2.6%) controls developed breast cancer, odds ratio 0.564 (95% CI 0.453 to 0.702) using a fixed effects model (P < 0.001) and odds ratio 0.585 (95% CI 0.247 to 1.386) using a random effects model (P 0.223). Bariatric surgery may reduce the risk of breast cancer. More research is required due to heterogeneity of studies, difficulty in identifying accurate controls, and limited follow-up.