Biopsy and Margins Optimize Outcomes after Thermal Ablation of Colorectal Liver Metastases
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Eligibility Criteria and Treatment
2.2. Margin Assessment
2.3. Histopathologic Analysis
2.4. Imaging Follow-Up
2.5. Definitions
2.6. Statistical Analysis
3. Results
3.1. Thermal Ablation Efficacy
3.2. Tissue Findings
3.3. LTP Findings
3.4. Patient Survival
3.5. Complications
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Patient (n = 107) and Tumor (n = 182) Characteristics | |
---|---|
Characteristic | Value |
Age (y) * | 59 (32–82) |
Sex | |
Female | 42 (39) |
Male | 65 (61) |
Race | |
Asian/Far East/Indian Subcontinent | 5 (5) |
Black/African American | 7 (7) |
Other | 1 (1) |
Patient refused to answer | 2 (2) |
White | 92 (92) |
Tumor size (cm) ** | 2.0 (0.6–4.6) |
LN status at staging of primary disease | |
Positive | 70 (65) |
Negative | 37 (35) |
Synchronous CLM | 77 (72) |
Time between diagnosis of colorectal cancer and ablation (mo) * | 31 (2–151) |
No. of tumors treated per patient within protocol ** | 1.7 (1–9) |
Tumor Characteristics as Predictors of LTP (n = 178) | |||
---|---|---|---|
No. of Tumors | LTP Rate (%) | p Value | |
Biopsy | <0.001 | ||
Positive- Viable tumor | 64 | 52 (33/64) | |
Negative- Coagulation Necrosis | 114 | 23 (25/114) | |
Ablation Margin (mm) | <0.001 | ||
<5 | 33 | 70 (23/33) | |
≥5 | 145 | 24 (35/145) | |
Tumor size (cm) | 0.036 | ||
≥3 | 26 | 50 (13/26) | |
<3 | 152 | 30 (45/152) | |
Ablation Modality | 0.2 | ||
MWA | 90 | 36 (32/90) | |
RFA | 88 | 30 (26/88) | |
PET Guidance | 0.3 | ||
Yes | 131 | 31 (41/131) | |
No | 47 | 36 (17/47) | |
CEA level (ng/mL [μg/L]) | 0.4 | ||
≤30 | 156 | 31 (50/156) | |
>30 | 22 | 36 (8/22) | |
EHD | 0.4 | ||
Yes | 86 | 31 (27/86) | |
No | 92 | 34 (31/92) | |
Prior Liver Resection | 0.034 | ||
Yes | 147 | 29 (43/147) | |
No | 31 | 48 (15/31) | |
Prior Systemic Chemotherapy | 0.5 | ||
Yes | 166 | 33 (54/166) | |
No | 12 | 33 (4/12) | |
Prior HAIC | 0.4 | ||
Yes | 99 | 31 (31/99) | |
No | 79 | 34 (27/79) | |
Post-Ablation Systemic Chemotherapy | 0.1 | ||
Yes | 140 | 35 (49/140) | |
No | 38 | 24 (9/38) | |
Post-Ablation HAIC | 0.3 | ||
Yes | 60 | 35 (21/60) | |
No | 118 | 31 (37/118) |
Univariate and Multivariate Analyses of Factors Associated with Local Tumor Progression by Using the Competing-Risks Regression Model | ||||
---|---|---|---|---|
Univariate Analysis | Multivariate Analysis | |||
Variable | p Value | Hazard Ratio | 95% Confidence Interval | p Value |
Biopsy result (V vs. N) | <0.001 | 2.4 | 1.4, 4.1 | 0.002 |
Minimal margin size < 5 mm | <0.001 | 3.5 | 2.0, 6.2 | <0.001 |
Tumor size ≥3 cm | 0.036 | 1.5 | 0.9, 2.7 | 0.133 |
Patient Characteristics as Predictors of OS (n = 106) | |||
---|---|---|---|
No. of Patients | Median OS (mo) | p Value | |
LTP | 0.1 | ||
Yes | 38 | 37 | |
No | 68 | 49 | |
CEA level (ng/mL [μg/L]) | <0.001 | ||
≤30 | 92 | 52 | |
>30 | 14 | 22 | |
EHD | 0.1 | ||
Yes | 54 | 42 | |
No | 52 | 49 | |
Prior Liver Resection | 0.1 | ||
Yes | 83 | 49 | |
No | 23 | 34 | |
Prior Systemic Chemotherapy | - | ||
Yes | 105 | 46 | |
No | 1 | - | |
Prior HAIC | 0.3 | ||
Yes | 67 | 49 | |
No | 39 | 36 | |
Post-ablation Systemic Chemotherapy | <0.001 | ||
Yes | 78 | 36 | |
No | 28 | 76 | |
Post-Ablation HAIC | 0.9 | ||
Yes | 33 | 49 | |
No | 73 | 44 |
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Vasiniotis Kamarinos, N.; Vakiani, E.; Gonen, M.; Kemeny, N.E.; Sigel, C.; Saltz, L.B.; Brown, K.T.; Covey, A.M.; Erinjeri, J.P.; Brody, L.A.; et al. Biopsy and Margins Optimize Outcomes after Thermal Ablation of Colorectal Liver Metastases. Cancers 2022, 14, 693. https://doi.org/10.3390/cancers14030693
Vasiniotis Kamarinos N, Vakiani E, Gonen M, Kemeny NE, Sigel C, Saltz LB, Brown KT, Covey AM, Erinjeri JP, Brody LA, et al. Biopsy and Margins Optimize Outcomes after Thermal Ablation of Colorectal Liver Metastases. Cancers. 2022; 14(3):693. https://doi.org/10.3390/cancers14030693
Chicago/Turabian StyleVasiniotis Kamarinos, Nikiforos, Efsevia Vakiani, Mithat Gonen, Nancy E. Kemeny, Carlie Sigel, Leonard B. Saltz, Karen T. Brown, Anne M. Covey, Joseph P. Erinjeri, Lynn A. Brody, and et al. 2022. "Biopsy and Margins Optimize Outcomes after Thermal Ablation of Colorectal Liver Metastases" Cancers 14, no. 3: 693. https://doi.org/10.3390/cancers14030693
APA StyleVasiniotis Kamarinos, N., Vakiani, E., Gonen, M., Kemeny, N. E., Sigel, C., Saltz, L. B., Brown, K. T., Covey, A. M., Erinjeri, J. P., Brody, L. A., Ziv, E., Yarmohammadi, H., Kunin, H., Barlas, A., Petre, E. N., Kingham, P. T., D’Angelica, M. I., Manova-Todorova, K., Solomon, S. B., & Sofocleous, C. T. (2022). Biopsy and Margins Optimize Outcomes after Thermal Ablation of Colorectal Liver Metastases. Cancers, 14(3), 693. https://doi.org/10.3390/cancers14030693