| Literature DB >> 30649485 |
Atsushi Kawashima1, Fumiaki Isohashi1, Seiji Mabuchi2, Kenjiro Sawada2, Yutaka Ueda2, Eiji Kobayashi2, Yuri Matsumoto2, Keisuke Otani1, Keisuke Tamari1, Yuji Seo1, Osamu Suzuki1, Iori Sumida1, Takuji Tomimatsu2, Tadashi Kimura2, Kazuhiko Ogawa1.
Abstract
Outcomes for patients with Stage IB1-IVA cervical cancer treated with computed tomography (CT)-based image-guided brachytherapy (IGBT) were examined in this study. A total of 84 patients were analyzed between March 2012 and June 2015. Whole-pelvic radiotherapy with a central shield was performed for each patient, and the total pelvic sidewall dose was 50 Gy. IGBT was delivered in 2-4 fractions. The initial prescription dose (6.8 Gy) was delivered at Point A, and the dose distribution was modified manually by graphical optimization. The total dose was calculated as the biologically equivalent dose in 2 Gy fractions (EQD2). Concurrent chemotherapy was administered to 64 patients (76%). The median follow-up period was 36 months (range 2-62 months). The 3-year overall survival, local control, and progression-free survival rates were 94%, 89% and 81%, respectively. The mean EQD2 for HR-CTV D90 was 73.4 Gy, and the EQD2 for HR-CTV D90 was not significantly associated with the local control rate. In multivariate analysis, adenocarcinoma (P = 0.03) and tumor size ≥45 mm (P = 0.06) were risk factors for local control. The patients were divided into four groups based on histology (squamous cell carcinoma vs adenocarcinoma) and tumor size (<45 vs ≥45 mm). Those with large adenocarcinomas had significantly worse outcomes. In conclusion, CT-based IGBT achieved favorable local control, but different treatment strategies may be necessary for large adenocarcinomas.Entities:
Keywords: cervical cancer; computed tomography; image-guided brachytherapy; three-dimensional treatment planning
Mesh:
Year: 2019 PMID: 30649485 PMCID: PMC6430254 DOI: 10.1093/jrr/rry104
Source DB: PubMed Journal: J Radiat Res ISSN: 0449-3060 Impact factor: 2.724
Patient characteristics (n = 84)
| Characteristics | % | |
|---|---|---|
| Age (years) | ||
| Median (range) | 61 (30–93) | |
| FIGO | ||
| IB1 | 24 | 28 |
| IB2 | 3 | 4 |
| IIA1 | 4 | 5 |
| IIA2 | 5 | 6 |
| IIB | 36 | 43 |
| IIIA | 1 | 1 |
| IIIB | 10 | 12 |
| IVA | 1 | 1 |
| Pelvic LN | ||
| Positive | 28 | 33 |
| Negative | 56 | 67 |
| Pathology | ||
| SCC | 71 | 85 |
| AD | 13 | 15 |
| Tumor size (mm) | ||
| Median (range) | 38 (8–72) | |
| Chemotherapy | ||
| with | 64 | 76 |
| without | 20 | 24 |
FIGO = International Federation of Gynecology and Obstetrics, LN = lymph node, SCC = squamous cell carcinoma, AD = adenocarcinoma.
Fig. 1.Kaplan–Meier estimates of overall survival (red line), progression-free survival (green line) and local control (black line) of all patients (n = 84).
Summary of dose–volume histogram parameters (Gy)
| Overall | LC+ | LC− | ||
|---|---|---|---|---|
| HR-CTV D90 | 73.4 (±7.5) | 73.5 (±7.5) | 72.2 (±7.1) | 0.53 |
| HR-CTV D100 | 58.8 (±5.9) | 58.8 (±6.0) | 58.6 (±5.3) | 0.81 |
| Rectum D2cm3 | 67.1 (±7.5) | |||
| Bladder D2cm3 | 63.6 (±8.7) |
LC = local control; HR-CTV = high-risk clinical target volume; D90, D100 and D2cm = minimum dose received by the 90%, 100% and 2 cm3 volumes with highest irradiation. Data are shown ± the standard deviation.
Univariate analysis for correlation of clinical factors with local control
| Failure(−) | Failure(+) | ||
|---|---|---|---|
| Chemotherapy | |||
| with | 55 | 9 | 0.106 |
| without | 20 | 0 | |
| FIGO | |||
| IB1-IIA2 | 34 | 2 | 0.289 |
| IIB-IVA | 41 | 7 | |
| Histology | |||
| SCC | 66 | 5 | 0.029 |
| AD | 9 | 4 | |
| Pelvic LN | |||
| negative | 52 | 4 | 0.152 |
| positive | 23 | 5 | |
| Tumor size (mm) | |||
| <45 | 48 | 1 | 0.003 |
| ≥45 | 27 | 8 | |
| HR-CTV volume (cm3) | |||
| <35 | 61 | 4 | 0.025 |
| ≥35 | 14 | 5 | |
| HR-CTV D90 (Gy) | |||
| <67 | 10 | 3 | 0.141 |
| ≥67 | 65 | 6 | |
| HR-CTV D100 (Gy) | |||
| <55 | 13 | 3 | |
| ≥55 | 62 | 6 | 0.363 |
FIGO = International Federation of Gynecology and Obstetrics, SCC = squamous cell carcinoma, AD = adenocarcinoma, LN = lymph node, HR-CTV = high-risk clinical target volume, D90 and D100 = minumum dose received by the 90% and 100% volumes with highest irradiation, respectively.
Multivariate analysis for local control
| HR | 95% CI | ||
|---|---|---|---|
| Histology (SCC vs AD) | 5.25 | 1.17–23.68 | 0.03 |
| Size (<45 vs ≥45 mm) | 1.06 | 0.99–1.13 | 0.06 |
| HR-CTV volume (<35 vs ≥35 cm3) | 1.04 | 0.99–1.09 | 0.11 |
HR = hazard ratio, CI = confidence interval, SCC = squamous cell carcinoma, AD = adenocarcinoma, HR-CTV = high-risk clinical target volume.
Fig. 2.A binary logistic regression model of tumor size and histology for prediction of local recurrence (A). Kaplan–Meier estimates of local control (B), overall survival (C), and progression-free survival (D), stratified into four groups according to histology [squamous cell carcinoma (SCC) vs adenocarcinoma (AD)] and tumor size (<45 vs ≥45 mm).