Journal of Clinical and Aesthetic Dermatology - Hot Topics in Melanoma November 2024

Original Research

Soneet Dhillon, Daniela Duarte-Bateman, Graham Fowler, Michael Norman Eun Hagstrom, Nathaniel Lampley, Shantel Olivares, Mónica Stella Fumero-Velázquez, Kathryn Vu, Jeffrey D. Wayne, Brian R. Gastman, John Vetto, Pedram Gerami 2024-10-25 06:13:39

Routine Imaging Guided by a 31-gene Expression Profile Assay Results in Earlier Detection of Melanoma with Decreased Metastatic Tumor Burden Compared to Patients without Surveillance Imaging Studies


Drs. Dhillon, Hagstrom, Lampley, Olivares, Fumero-Velázquez, and Gerami are with Department of Dermatology, Feinberg School of Medicine, Northwestern University in Chicago, Illinois. Drs. Duarte-Bateman and Gastman are with Department of Plastic Surgery, Cleveland Clinic Lerner Research Institute in Cleveland, Ohio. Drs. Fowler, Vu, and Vetto are with Division of Surgical Oncology, Knight Cancer Institute, Oregon Health and Science University in Beaverton, Oregon. Dr. Wayne is with Division of Surgical Oncology, Northwestern University in Chicago, Illinois. Dr. Gerami is additionally with Robert H. Lurie Cancer Center, Feinberg School of Medicine, Northwestern University in Chicago, Illinois.

Reprinted with permission. Arch Dermatol Res. 2023 Oct;315(8):2295–2302.*


ABSTRACT

Patients with early-stage melanoma typically have a good prognosis, but still have a risk of recurrence, even with negative sentinel lymph node biopsy (SLNB). This study explores the utility of routine imaging to detect metastases in patients with negative SLNB but high-risk 31-gene expression profile (31-GEP) scores. We retrospectively identified melanoma patients with negative SLNBs. Patients with high-risk GEP results were placed in the experimental group and patients without GEP testing were placed in the control group. Among both cohorts, recurrent melanoma groups were identified. The tumor burden at the time of recurrence and the time to recurrence were compared between experimental group patients with routine imaging and control group patients without imaging schedules. We identified 327 control patients and 307 experimental patients, of which 14.1 percent versus 20.5 percent had melanoma recurrence, respectively. Of the patients with recurrent melanoma, those in the experimental group were older (65.75 years vs. 59.20 years), had higher Breslow depths (3.72mm vs. 3.31mm), and had advanced tumor staging (89.5% vs. 71.4% of patients presenting clinical Stage ≥II) compared to the control group at primary diagnosis. However, melanoma recurrence was detected earlier (25.50 months vs. 35.35 months) in the experimental group at a lower overall tumor burden (27.60mm vs. 73.10mm). A higher percentage of experimental patients started immunotherapy when offered (76.3% and 67.9%). Patients who received routine imaging after high-risk GEP test scores had an earlier recurrence diagnosis with lower tumor burden, leading to better clinical outcomes.

KEYWORDS: Cutaneous melanoma, gene expression profile, metastasis, recurrence, surveillance imaging


*COPYRIGHT: © 2023 by the authors, corrected publication 2023. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

FUNDING: This work was supported by the IDP Foundation, Inc.

DISCLOSURES: Dr. Pedram Gerami, Dr. John Vetto, and Dr. Jeffery D. Wayne, have severed as consultants for Castle Biosciences, Inc. and received honoraria for consultant work. No other authors have conflicts of interest to disclose. This study was performed independent of Castle Biosciences, Inc, and was not supported or funded by them in any manner.

CORRESPONDENCE: Pedram Gerami; Email: pedram.gerami@nm.org; pgerami1@nm.org


INTRODUCTION

Immunotherapies such as anti-programmed cell death ligand-1(anti-PD-1) immune checkpoint inhibitor (ICI) and anti-cytotoxic T lymphocyte antigen-2 (anti-CTLA-4) immune checkpoint inhibitors (ICIs), as well as targeted antitumor treatments, including B-Raf protooncogene (BRAF) and mitogen-activated protein-kinase-kinase (MEK) inhibitors, have revolutionized melanoma treatment.1,2 Followup data support the effectiveness of these newer therapies in improving progression-free survival (PFS) and overall survival (OS).1–3 Importantly, many trials involving these novel agents suggest greater efficacy when administered to patients with an initial lower tumor burden.4–8

Routine imaging can effectively detect early relapse when there is a lower tumor burden.9–11 For patients with Stage IIB disease or greater, the National Comprehensive Cancer Network® (NCCN®) recommends chest radiography, computed tomography (CT), brain magnetic resonance imaging (MRI), and positron emission tomography and CT (PET/CT) every 3 to 12 months for three years at the discretion of the physician.12 However, routine imaging is not a standard protocol for clinical Stage I and II patients, and the guidelines for surveillance remain controversial.

Notably, recurrence in patients with early-stage disease is well documented and may be as high as 40 to 69 percent.12–14 Additionally, American Joint Committee on Cancer (AJCC) and Surveillance, Epidemiology, and End Results (SEER) data show that, excluding Stage IV patients, 60 percent of patients who ultimately die from metastatic melanoma are Stage I or II at the time of initial diagnosis.15–17 Hence, a significant number of patients diagnosed with early-stage disease may have aggressive melanomas that may recur and ultimately result in death. Any method of determining which patients may most benefit from routine imaging should aim at identifying patients at a point of low total tumor burden, as they may have the greatest chance for cure or improved survival with immunotherapy or targeted therapy.

A 31-gene expression profile (31-GEP) test was introduced in 2013 and yields a continuous probability score between zero and one that stratifies the risk of melanoma disease recurrence. The score is assigned to four categories: low risk of recurrence (Class 1A; 0–0.41 and Class 1B; 0.42–0.49) and high risk of recurrence (Class 2A; 0.50–0.58 and Class 2B; 0.59–1).18–21 The 31-GEP Class has been demonstrated to be an independent predictor of recurrence, including nodal recurrence and distant metastasis-free survival (DMFS) in meta-analyses and multiple prospective and retrospective studies.20,22 This study looked at patients with a negative sentinel lymph node biopsy (SLNB) and a high-risk 31-GEP result. We then selected patients with recurrence and compared the tumor burden between patients who underwent a routine imaging protocol to those who did not. Specifically, we compared our experimental cohort with a control cohort of patients with negative SLNB results who did not have GEP testing and only had imaging studies as indicated by clinical symptoms to validate the utility of GEP results in guiding radiological surveillance. Patients with high-risk recurrence scores from GEP testing who were subsequently placed on routine imaging had an earlier recurrence diagnosis with lower tumor burden with a trend towards improved OS.

METHODS

Study design and patient selection. Retrospective chart reviews were performed at Northwestern University, Cleveland Clinic, and Oregon Health & Science University. All patients with a confirmed melanoma diagnosis and a negative SLNB (pathologic Stage I or II disease at the initial diagnosis) were selected for this study (Figure 1). Patients tested with a 31-GEP (Castle Biosciences; Friendswood, TX) and with a GEP Class result of 2A or 2B were recruited into the experimental group, while Class 1A and 1B patients were excluded from the study. Patients who were Class 2A/B but without a SLNB were excluded from this study. All patients without GEP testing were placed in the control group if scheduled routine imaging was not part of the follow-up plan. In this control group, imaging studies were driven by symptoms or physical exam findings. Within each group, subgroups were identified as patients with visceral or lymphatic melanoma recurrence versus those without recurrence. Patients with routine imaging in the melanoma recurrent control group or those who did not adhere to imaging schedules in the melanoma recurrent experimental group were excluded from the melanoma recurrence groups.

FIGURE 1. Flow diagram illustrating study participant eligibility and group allocation

Tumor burden at the first date of detection of recurrence was compared between the experimental subgroup with recurrence versus the control subgroup with recurrence. Patients were only included in the experimental subgroup of recurrent disease patients if they adhered to routine imaging schedules and had metastasis detection because of routine imaging rather than imaging performed as a result of a clinical symptom. The first endpoint was the date of detection of the first evidence of recurrence, and the date of the last chart review was the secondary endpoint. The primary outcome of this study was the total tumor burden calculated at the first identified time of any evident recurrence of melanoma. Although there were differences between sites and patients, the routine imaging protocol typically consisted of chest CT without contrast, abdominal pelvic CT with contrast, and brain MRIs with and without contrast at an average of six-month intervals.

Tumor burden measurement, treatment outcomes, and survival analysis. Imaging reports interpreted by attending radiologists were used to determine tumor burden. The first radiology report in which the diagnosis of metastatic melanoma was suspicious enough to provide a measurement of the tumor was used to determine the initial tumor burden and the date of the first recurrence. Hence, the first sign of measurable tumor burden was used as the primary endpoint. If multiple foci were identified, the measurements were added together to determine the total tumor burden. Additional foci identified in subsequent studies that were not present in the first imaging study were not included in the measurement. All imaging studies that were part of the initial workup identifying measurable tumor burden were included. The tumor burden measurement was calculated using an adapted version of the response evaluation criteria in solid tumors (RECIST) 1.1 criteria by calculating the unidimensional sum of all reported metastatic foci present in initial imaging studies (method of Dall’Olio et al).23,24 Specifically, the measured sums of the longest single length of all included metastatic foci led to the total tumor burden. Unlike the RECIST criteria, which evaluate the change in tumor burden, no tumor exclusions were made based on the minimum tumor size or the maximum number of tumors present in any organ, and ultrasound (US) examination measurements were included to determine the initial metastatic foci present that were ultimately included in tumor burden measurement.24

Patient charts were reviewed to determine if they were treated with immunotherapy or other agents after the first detection of melanoma recurrence. Patient survival data was determined using the second study endpoint, which was the date of the last review of the chart.

Analysis. The tumor burden differences between the control and experimental groups were evaluated using a two-sample t-test with unequal variances, and a twosided p-value less than 0.05 was considered statistically significant. The time to progression was from the diagnosis of primary melanoma to detection of visceral or lymphatic metastases. Kaplan–Meier estimates with the log-rank test analysis were used to assess months melanoma recurrence between the experimental and control groups. Descriptive statistics included sex, age, average Breslow depth, tumor staging, and the site of initial melanoma and recurrence. The Chi-squared and Kruskal–Wallis statistic were used to determine the significance between both groups among each descriptive variable. P-values 0.05 or less were considered significant. Statistical analysis was performed using Microsoft Excel and XLSTAT 2022.

RESULTS

A total of 307 patients with Stage I or II clinical disease and a GEP Class 2A/B result were included in the experimental group. In comparison, 327 Stage I or II patients without GEP testing were included in the control group. There were 63 recurrences in the experimental group versus 46 in the control group, which was statistically significant (20.5% vs. 14.1%, p=0.031). Among the 63 recurrences in the experimental group, 38 patients followed a routine imaging protocol, while 25 did not, so they were excluded from the primary endpoint analysis for tumor burden. None of the patients in the control group followed an imaging protocol.

The average tumor burden among patients with recurrent melanoma in the experimental group was 27.60mm, compared to 73.10mm in patients with recurrent melanoma from the control group (Figure 2), which was statistically significant with a p-value of 0.027. Kaplan– Meier analysis (Figure 3) also showed that the time difference between the detection of melanoma recurrence in the experimental group and control group was significant; on average, melanoma recurrence was detected at 25.50 months in the experimental group versus 35.35 months for the control group (p=0.049; t-test p=0.004).

FIGURE 2. Bar diagram representing the average tumor burden (measured in mm) between the control group and experimental group

FIGURE 3. Kaplan–Meier curve illustrating percentage of recurrence-free patients over time

Among patients with recurrent melanoma, the experimental cohort had a greater average Breslow depth (3.72mm vs. 3.31mm), older age (65.75 years vs. 59.2 years) at primary diagnosis, and a higher proportion of clinical Stage II patients (89.5% vs. 71.4%) compared to the control group. None of these findings met statistical significance (Table 1). There were also no significant differences regarding sex, initial tumor site, and distant recurrences to brain, lymph nodes, and total visceral recurrences. Lungs were the most common distant metastatic site, present in 65.2 percent of all patients with recurrent melanoma, followed by lymph nodes with 31.8 percent.

TABLE 1. Demographic summary table of control and experimental groups

TABLE 1, CONT. Demographic summary table of control and experimental groups

The percentage of patients who started immunotherapy was 81.6 percent (31/38) among patients with recurrent melanoma in the experimental group and 71.4 percent (20/28) among patients with recurrent melanoma in the control group. At the time of the last follow-up, 76.3 percent (29/38) of the patients with melanoma recurrence in the experimental group were alive, with an average follow-up time of 45.63 months, compared to 50.0 percent (14/28) of patients with recurrent melanoma in the control group, with an average followup time of 63.32 months. The difference in OS was statistically significant, with a Chi-squared p-value of 0.027.

DISCUSSION

Historically, early detection of metastatic disease was considered unjustified, given the lack of effective treatment options prior to the recent advances in systemic therapies.13 However, recent studies suggest a survival benefit when metastatic melanoma is treated at a lower tumor burden.4–8 The COMBI-d and COMBI-v trials showed a significant improvement in OS and PFS in patients treated with dabrafenib plus trametinib (MEK inhibitor) when patients started at less than three tumor sites (n=282) versus three or more tumor sites (n=269).25 Likewise, in studies of patients treated with the anti-PD-1 antibody pembrolizumab, OS decreased as the number of metastatic lesions increased, and patients with a longer PFS generally had a lower tumor burden.6,26

In a retrospective medical imaging review of 10 patients with metastatic melanoma treated with dabrafenib, the mortality hazard tripled for every 1cc increase in tumor volume (p=0.047, hazard ratio: 2.81, confidence interval: 1.06–6.19), and patients with tumor volumes above the median of 111.5cc also had a statistically significant shorter OS than patients with smaller tumor volumes (6 months vs. 56 months, p=0.019).27

In contrast to using tumor volumes or sites, our study used cumulative tumor size to measure tumor burden. We calculated the clinical tumor burden as the sum of the largest unidimensional lengths of all metastatic foci. Specifically, we compared the tumor burden at the time of the first evidence of melanoma recurrence in a cohort of patients with Stage I or II disease and with GEP Class 2A/B accompanied by routine imaging with a cohort of patients with Stage I or II melanoma without GEP testing or routine imaging. Despite having a higher mean Breslow depth and a higher proportion of patients with clinical Stage II disease or greater, the experimental group had a significantly lower tumor burden detected at the first recurrence (27.60mm vs. 73.10mm).

As a secondary endpoint, we assessed OS at the time of last follow up. In accordance with the higher rate of recurrence in the experimental group, more patients with recurrent melanoma in the experimental group were started on immunotherapy. Importantly, patients in the experimental group had statistically significant better OS (76.3% vs. 50.0%). It is important to note that there was a difference in average follow-up times between the control and experimental groups, with an average follow-up of 63.32 months and 45.63 months, respectively. Given that the follow-up time was longer in the control group, this may have led to more deaths reported. Therefore, we analyzed both melanoma recurrent experimental and control group patients at the 45.63-month mark, which showed a similar trend in results, though not significant. Specifically, at a maximum follow-up of 45.63 months, 86.80 percent of patients with recurrent melanoma in the experimental group were alive, and 75.00 percent of patients with recurrent melanoma in the control group were alive. A trend toward improved OS in patients with recurrent melanoma in the experimental group supports previous studies suggesting that response to newer systemic therapies may be better when tumor burden is lower.4–7 Hence, in the current era of novel targeted and immunotherapy, there may be a need for greater emphasis on detecting metastatic disease earlier.

Past studies evaluating the impact of imaging studies on early detection of recurrent diseases have had mixed results. This may be related to large sample sizes that included patients with minimal risk of metastasis.28 As expected, when implementing an interventional strategy in cohorts of patients with minimal risk of metastasis, the odds of finding a statistically significant benefit are low.29,30 However, more recent studies suggest that in higher-risk patients, routine imaging can identify early visceral or lymphatic melanoma metastasis in clinically asymptomatic patients.13,31 In our study, we found that surveillance imaging detected melanoma recurrence 9.84 months earlier (25.50 months vs. 35.35 months) in patients who had routine imaging schedules compared to those who did not. This included visceral (92.1%), nodal (36.8%) and central nervous system (15.8%) recurrences. Therefore, surveillance imaging can detect melanoma recurrence in high-risk patients at an earlier time frame with a lower overall tumor burden.

Compared to routine clinical exams, imaging studies are more costly and should be used strategically according to the patient’s risk of recurrence.9 In fact, NCCN guidelines recommend that follow-up of patients be based on their level of risk of relapse.13 The 31-GEP test is a tool for identifying the risk of melanoma relapse, which has been particularly shown to identify a high risk of recurrence in patients with clinical Stage I or II AJCC disease.32 In a study of 259 patients with negative SLNB, 70 percent of patients with high risk of recurrence (Class 2) 31-GEP results experienced metastasis.32 In our study of patients with Stage I and II disease, significantly more patients with high score 31- GEP results experienced melanoma recurrence compared to those without 31-GEP testing (20.5% vs. 14.1%). Therefore, the 31-GEP tool may offer one strategy of identifying high-risk Stage I and II patients who ultimately account for a significant proportion of melanoma-related deaths.

Limitations. The limitations of our study included the retrospective nature of this study, with a limited sample size of patients with recurrent melanoma. In addition, there were less than uniform imaging protocols among all three sites, including the type of imaging study recommended. There was a difference in the durations of the surveillance intervals, which ranged from 6 to 12 months. Furthermore, among all three sites and both groups, there was also a difference in the patient follow-up lengths for patients with recurrence.

CONCLUSION

In summary, the 31-GEP test identifies patients who are at a higher risk of developing metastases, and when combined with routine imaging studies, patients with visceral or lymphatic metastases can be identified and offered systemic and immunotherapy treatment in an earlier time frame with a lower tumor burden, which can lead to improved patient outcomes.

AUTHOR CONTRIBUTIONS

SD collected and analyzed data, wrote the main manuscript text, prepared Table 1, and prepared Figures 1 to 3. DB and GF collected and assisted in analyzing data and writing the main manuscript text. MH, NL, SO, MF, and KV all edited manuscript text and reviewed figures. JW, BG, JV, and PG all prepared the study design and conceptualization, as well as performed through manuscript review and edits. All authors reviewed the manuscript, Figures 1 to 3, and Table 1.

DATA AVAILABILITY

The data generated in this study are not publicly available, but deidentified data are available upon reasonable request to the corresponding author.

CONSENT TO PARTICIPATE/CONSENT TO PUBLISH

This study was reviewed by the Institutional Review Board and, given the retrospective chart review design, it was determined that it involves only minimal risk to human subjects. A Waiver of HIPPA Authorization was granted to permit use of deidentified health information for research purposes.

REFERENCES

  1. Namikawa K, Yamazaki N. Targeted therapy and immunotherapy for melanoma in Japan. Curr Treat Options Oncol. 2019;20(1):7.
  2. Weiss SA, Wolchok JD, Sznol M. Immunotherapy of melanoma: facts and hopes. Clin Cancer Res. 2019;25(17):5191–5201.
  3. Lugowska I, Teterycz P, Rutkowski P. Immunotherapy of melanoma. Contemp Oncol (Pozn). 2018;22(1a):61–67.
  4. Poklepovic AS, Carvajal RD. Prognostic value of low tumor burden in patients with melanoma. Oncology (Williston Park). 2018;32(9):e90–e96.
  5. Ribas A, Hamid O, Daud A, et al. Association of pembrolizumab with tumor response and survival among patients with advanced melanoma. JAMA. 2016;315(15):1600–1609.
  6. ]Huang AC, Postow MA, Orlowski RJ, et al. T-cell invigoration to tumour burden ratio associated with anti-PD-1 response. Nature. 2017;545(7652):60–65.
  7. Meckbach D, Bauer J, Pflugfelder A, et al. Survival according to BRAF-V600 tumor mutations–an analysis of 437 patients with primary melanoma. PLoS ONE. 2014;9(1):e86194.
  8. Long GV, Flaherty KT, Stroyakovskiy D, et al. Dabrafenib plus trametinib versus dabrafenib monotherapy in patients with metastatic BRAF V600E/K-mutant melanoma: long-term survival and safety analysis of a Phase 3 study. Ann Oncol. 2017;28(7):1631–1639.
  9. Podlipnik S, Moreno-Ramírez D, Carrera C, et al. Cost-effectiveness analysis of imaging strategy for an intensive follow-up of patients with American Joint Committee on Cancer Stage IIB, IIC and III malignant melanoma. Br J Dermatol. 2019;180(5):1190–1197.
  10. Park TS, Phan GQ, Yang JC, et al. Routine computer tomography imaging for the detection of recurrences in high-risk melanoma patients. Ann Surg Oncol. 2017;24(4):947–951.
  11. Livingstone E, Krajewski C, Eigentler TK, et al. Prospective evaluation of follow-up in melanoma patients in Germany: results of a multicentre and longitudinal study. Eur J Cancer. 2015;51(5):653–667.
  12. NCC Network. Melanoma: cutaneous (version 3.2022). Accessed 31 Oct 2021. https://www.nccn.org/professionals/physician_gls/pdf/cutaneous_melanoma.pdf
  13. Freeman M, Laks S. Surveillance imaging for metastasis in high-risk melanoma: importance in individualized patient care and survivorship. Melanoma Manag. 2019;6(1):12.
  14. Tas F. Metastatic behavior in melanoma: timing, pattern, survival, and influencing factors. J Oncol. 2012;2012:647684.
  15. Whiteman DC, Baade PD, Olsen CM. More people die from thin melanomas (≤ 1 mm) than from thick melanomas (>4 mm) in Queensland, Australia. J Invest Dermatol. 2015;135(4):1190– 1193.
  16. Balch CM, Gershenwald JE, Soong SJ, et al. Final version of 2009 AJCC melanoma staging and classification. J Clin Oncol. 2009;27(36):6199– 6206.
  17. Shaikh WR, Dusza SW, Weinstock MA, et al. Melanoma thickness and survival trends in the United States, 1989–2009. J Natl Cancer Institute. 2015;108(1):djv294.
  18. Gerami P, Cook RW, Wilkinson J, et al. Development of a prognostic genetic signature to predict the metastatic risk associated with cutaneous melanoma. Clin Cancer Res. 2015;21(1):175–183.
  19. Gerami P, Cook RW, Russell MC, et al. Gene expression profiling for molecular staging of cutaneous melanoma in patients undergoing sentinel lymph node biopsy. J Am Acad Dermatol. 2015;72(5):780–785.e3.
  20. Zager JS, Gastman BR, Leachman S, et al. Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients. BMC Cancer. 2018;18(1):130.
  21. Whitman ED, Koshenkov VP, Gastman BR, et al. Integrating 31-gene expression profiling with clinicopathologic features to optimize cutaneous melanoma sentinel lymph node metastasis prediction. JCO Precis Oncol. 2021;5:PO.21.00162.
  22. Jarell A, Skenderis B, Dillon LD, et al. The 31- gene expression profile stratifies recurrence and metastasis risk in patients with cutaneous melanomax. Future Oncol. 2021;17(36):5023– 5031.
  23. Dall’Olio FG, Marabelle A, Caramella C, et al. Tumour burden and efficacy of immunecheckpoint inhibitors. Nat Rev Clin Oncol. 2022;19(2):75–90.
  24. Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45(2):228–247.
  25. Robert C, Grob JJ, Stroyakovskiy D, et al. Fiveyear outcomes with dabrafenib plus trametinib in metastatic melanoma. N Engl J Med. 2019;381(7):626–636.
  26. Kim J, Chang JS, Sung W, et al. A comparison of 2 disease burden assessment methods (3D volume versus the number of lesions) for prognostication of survival in metastatic melanoma: implications for the characterization of oligometastatic disease. Int J Radiat Oncol Biol Phys. 2022;114(5):883-891.
  27. Ali A, Dumbrava M, Riddell K, et al. Correlation between initial tumour volume and treatment duration on Dabrafenib: observation study of subjects with BRAF mutant melanoma on the BRF112680 trial. BMC Cancer. 2020;20(1):342.
  28. Pozsgai M, Németh K, Oláh P, et al. The significance of imaging examinations during follow-up for malignant melanoma. Eur J Dermatol. 2021;31(3):357–363.
  29. Baker JJ, Meyers MO, Frank J, et al. Routine restaging PET/CT and detection of initial recurrence in sentinel lymph node positive stage III melanoma. Am J Surg. 2014;207(4):549–554.
  30. Horn J, Lock-Andersen J, Sjøstrand H, Loft A. Routine use of FDG-PET scans in melanoma patients with positive sentinel node biopsy. Eur J Nucl Med Mol Imaging. 2006;33(8):887–892.
  31. El-Shourbagy KH, Mashaly EM, Khodair SA, et al. PET/CT in restaging, prognosis, and recurrence in patients with malignant melanoma. Egypt J Radiol Nucl Med. 2020;51(1):167.
  32. Gastman BR, Gerami P, Kurley SJ, et al. Identification of patients at risk of metastasis using a prognostic 31-gene expression profile in subpopulations of melanoma patients with favorable outcomes by standard criteria. J Am Acad Dermatol. 2019;80(1):149–157.e4.

©Matrix Medical Communications. View All Articles.

Original Research
https://jcad.mydigitalpublication.com/articles/original-research?article_id=4877962&i=834717

Menu
  • Page View
  • Contents View
  • Issue List
  • Advertisers
  • Website

Issue List

March 2026

Hot Topics in Alopecia February 2026

February 2026

January 2026

Chronic Hand Eczema: Understanding a Complex and Persistent Inflammatory Disease

December 2025

Hot Topics in Alopecia November 2025

Science of Skin Summit 2025

Hot Topics in Melanoma November 2025

November 2025

October 2025

September 2025

Hot Topics in Alopecia Areata August 2025

August 2025

July 2025

Hot Topics in Melanoma July 2025

June 2025

Hot Topics in Pigmented Lesions May 2025

May 2025

April 2025

Hot Topics in Melanoma April 2025

March 2025

February 2025

January 2025

December 2024 Supplement 3

Dermatology Conference Highlights 2024

December 2024

November 2024

Hot Topics in Melanoma November 2024

October 2024

September 2024 Supplement 2

September 2024

August 2024

July 2024

Hot Topics in Squamous Cell Carcinoma July 2024

June 2024

May 2024 Supplement 2

May 2024

April 2024

Hot Topics in Psoriasis March 2024

March 2024

Supplement - March 2024

Hot Topics in Psoriasis February 2024

February 2024

January 2024

Supplement - December 2023

December 2023

Supplement - December 2023

Vitiligo Conference Highlights: November 2023

November 2023

Supplement - November 2023

Supplement - October 2023

October 2023

Hot Topics in Melanoma October 2023

Supplement - September 2023

September 2023

Hot Topics in Skin Health September 2023

Supplement - August 2023

August 2023

Hot Topics in Melanoma August 2023

Hot Topics in Skin Health July 2023

Hot Topics in Psoriasis July 2023

Hot Topics in Psoriasis June 2023

Hot Topics in Skin Health May 2023


Library