| Literature DB >> 35621692 |
Michihide Maeda1, Tsuyoshi Hisa1, Shinya Matsuzaki1, Misooja Lee2, Seiji Mabuchi1, Shoji Kamiura1.
Abstract
Although laser vaporization is a popular minimally invasive treatment for cervical intraepithelial neoplasia (CIN), factors influencing CIN recurrence are understudied. Moreover, the effect of surgeon volume on patients' prognosis after laser vaporization for CIN is unknown. This single-center retrospective study evaluated the predictive value of surgeon volume and patient characteristics for laser vaporization outcomes in women with pathologically confirmed CIN2. Histologically confirmed CIN2 or higher grade after laser vaporization was defined as persistent or recurrent. Various patient characteristics were compared between women with and those without recurrence to examine the predictive factors for laser vaporization. There were 270 patients with a median age of 36 (18-60) years. The median follow-up period was 25 (6-75.5) months and the median period between treatment and persistence or recurrence was 17 (1.5-69) months. The median annual number of procedures for all seven surgeons was 7.8. There were 38 patients (14.1%) with persistent or recurrent lesions-24 had CIN2, 13 had CIN3, and one had adenocarcinoma in situ. Patient age, body mass index, surgeon volume, and history of prior CIN treatment or invasive cervical cancer were not significantly correlated with lesion persistence or recurrence. In conclusion, laser vaporization has comparable success rates and is a feasible treatment for both low- and high-volume surgeons.Entities:
Keywords: carbon dioxide laser vaporization; cervical intraepithelial neoplasia; prognostic factors; recurrence; surgeon volume
Mesh:
Year: 2022 PMID: 35621692 PMCID: PMC9139925 DOI: 10.3390/curroncol29050302
Source DB: PubMed Journal: Curr Oncol ISSN: 1198-0052 Impact factor: 3.109
Baseline characteristics (n = 270).
| Patient Characteristics at Baseline | Values |
|---|---|
| Age, years | 36 (18–60) |
| BMI, kg/m2 | 20.5 (14.8–31.1) |
| Prior treatment | 25 (9.3) |
| Preoperative cytology | |
| ASC-US | 19 (7.0%) |
| LSIL | 51 (18.9%) |
| ASC-H | 12 (4.4%) |
| HSIL | 187 (69.3%) |
| AGC-NOS | 1 (0.5%) |
| Parity, | |
| 0 | 187 (69.3%) |
| ≥1 | 83 (30.7%) |
| HPV infection | |
| Positive | 158 (58.5%) |
| Negative | 6 (2.2%) |
| Not examined | 106 (39.3%) |
| Smoking, | |
| Yes | 120 (44.4%) |
| No | 150 (55.6%) |
| Use of contraception | |
| Yes | 14 (5.2%) |
| No | 256 (94.8%) |
| Surgeon volume | |
| High | 189 (70.0%) |
| Low | 81 (30.0%) |
Data are presented as median (range) or number (percentage per column). Abbreviations: SD, standard deviation; prior treatment, Prior treatment for CIN; ASC-US, atypical squamous cells of undetermined significance; LSIL, low-grade squamous intraepithelial lesion; HSIL, high-grade squamous intraepithelial lesion; ASC-H, atypical squamous cells, cannot exclude HSIL; AGC-NOS, atypical glandular cells not otherwise specified.
Comparison of baseline characteristics between the recurrence and nonrecurrence groups.
| Persist or Rec | Yes | No | |
|---|---|---|---|
| Age | |||
| <50 | 34 (14.3%) | 208 (85.7%) | 0.99 |
| ≥50 | 4 (14.2%) | 24 (85.8%) | |
| Parity | |||
| 0 | 23 (12.3%) | 164 (87.3%) | 0.26 |
| ≥1 | 15 (18.1%) | 68 (81.9%) | |
| BMI | |||
| ≤25 | 37 (14.6%) | 217 (85.4%) | 0.71 |
| >25 | 1 (6.3%) | 15 (93.7%) | |
| Smoking | |||
| Yes | 16 (13.3%) | 104 (86.7%) | 0.86 |
| No | 22 (44%) | 128 (56%) | |
| OC | |||
| Yes | 1 (7.1%) | 13 (92.9%) | 0.70 |
| No | 37 (14.5%) | 219 (85.5%) | |
| Prior treatment | |||
| Yes | 2 (8%) | 23 (92%) | 0.74 |
| No | 36 (14.7%) | 209 (85.3%) | |
| Surgeon volume | |||
| High | 24 (12.7%) | 165 (87.3%) | 0.054 |
| Low | 14 (17.3%) | 67 (82.7%) |
Data are presented as number (percentage per column). The chi-square test was used for univariate analysis. Abbreviations: persist or rec, persistence or recurrence; prior treatment, prior treatment for CIN; OC, use of oral contraception.
Comparison of patients’ characteristics and treatment outcome according to surgeon volume.
| High | Low | ||
|---|---|---|---|
| Age | 36 (18–60) | 36 (21–53) | 0.56 |
| BMI | 20.1 (14.8–31.1) | 19.7 (16.2–26.7) | 0.44 |
| Parity | 0.25 | ||
| 0 | 135 (71.4%) | 52 (64.2%) | |
| ≥1 | 54 (28.6%) | 29 (35.8%) | |
| HPV | 0.29 | ||
| Positive | 131 (69.3%) | 27 (33.3%) | |
| Negative | 4 (2.1%) | 2 (2.5%) | |
| Not examined | 54 (28.6%) | 52 (64.2%) | |
| Smoking | 0.23 | ||
| Yes | 89 (47.1%) | 31 (38.3%) | |
| No | 100 (52.9%) | 50 (61.7%) | |
| OC | 0.56 | ||
| Yes | 11 (5.8%) | 3 (3.7%) | |
| No | 178 (94.2%) | 78 (96.3%) | |
| Prior treatment | 0.64 | ||
| Yes | 19 (10.1%) | 6 (7.4%) | |
| No | 170 (89.9%) | 75 (92.6%) | |
| Complications | 11 (5.8%) | 2 (2.5%) | 0.36 |
| Persist or rec | 24 (12.7%) | 14 (17.3%) | 0.34 |
Data are presented as number (percentage per group) or median (range). The chi-square test was used for univariate analysis. Abbreviations: HPV, human papillomavirus; OC, use of oral contraception; prior treatment, prior treatment for CIN; persist, persistence; rec, recurrence.
Figure 1Kaplan–Meier time-to-persistence or recurrence curves based on surgeon volume. The dotted line represents the persistence or recurrence curve of women treated by low-volume surgeons, while the solid line represents the curve of women treated by high-volume surgeons. The Cox proportional hazard regression model was used to determine the p-value.
Univariate and multivariate analysis of predictive factors for persistence or recurrence.
| Univariate | Multivariate | ||||
|---|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | ||||
| Age | <50 | 1 | 0.83 | 1 | 0.64 |
| ≥50 | 1.12 (0.40–3.17) | 1.29 (0.45- 3.69) | |||
| BMI | ≤25 | 1 | 0.47 | 1 | 0.44 |
| >25 | 0.48 (0.066–3.53) | 0.45 (0.062–3.69) | |||
| Surgeon volume | Low | 1 | 0.67 | 1 | 0.68 |
| High | 0.86 (0.47–1.68) | 0.87 (0.44–1.69) | |||
| Prior treatment | No | 1 | 0.24 | 1 | 0.21 |
| Yes | 0.42 (0.10–1.76) | 0.40 (0.096–1.69) | |||
Cox proportional hazards model. Abbreviations: prior treatment, prior treatment of CIN; HR, hazard ratio; CI, confidence interval; BMI, body mass index.