Highlights
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Brachytherapy boost is a standard of care for locally advanced cervical cancer.
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High-dose-rate brachytherapy (HDR-BT) boost procedure is not standardized.
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The number of implants, fractions, doses and imaging differ in literature.
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Bi-fractionated HDR-BT in 1 implant is feasible with good oncological outcome.
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Bi-fractionated HDR-BT dose escalation slightly increases acute toxicity.
Keywords: Cervical cancer, Brachytherapy, High-dose-rate, Fractionation scheme
Abbreviations: BED, biologically effective dose; BID, twice-a-day; BMI, body-mass index; BT, brachytherapy; CT, computerized tomography; CTCAE, common terminology criteria for adverse events; CTV, clinical target volume; EBRT, external beam radiotherapy; EMBRACE, image guided intensity modulated External beam radiochemotherapy and MRI based Adaptative BRAchytherapy in locally advanced CErvical cancer; ESTRO, European Society for Radiotherapy and Oncology; EQD2Gy, equivalent dose at 2 Gy; FIGO, International Federation of Gynecology and Obstetrics; GEC, groupe européen de curiethérapie; GTV, gross tumor volume; HDR, high-dose-rate; HIV, human immunodeficiency virus; HR, high-risk; ICRU, International Commission on Radiation Units and measurements; IGABT, image-guided adaptative brachytherapy; IMRT, intensity modulated radiotherapy; IR, intermediate-risk; LACC, locally advanced cervical cancer; LDR, low-dose-rate; LFS, local recurrence-free survival; LQ, linear quadratic; MFU, median follow up; MFS, metastatic recurrence-free survival; MRI, magnetic resonance imaging; NA, not available; NCI, national cancer institute; NFS, nodal recurrence-free survival; OAR, organs at risk; OS, overall survival; OTT, overall treatment time; PDR, pulsed-dose-rate; PET, positron emission tomography; PFS, progression-free survival; pt, patient; pts, patients; PTV, planning target volume; RCT, radio-chemotherapy; SCC, squamous cell cancer; SEER, surveillance, epidemiology and end results
Abstract
Purpose
Brachytherapy (BT) boost after radio-chemotherapy (RCT) is a standard of care in the management of locally advanced cervical cancer (LACC). As there is no consensus on high-dose-rate (HDR) BT fractionation schemes, our aim was to report the oncological outcome and toxicity profile of four different schemes using twice-a-day (BID) HDR-BT.
Patients and methods
This was an observational, retrospective, single institution study for patients with LACC receiving a HDR-BT boost. The latter was performed with a single implant and single imaging done on day 1. The different fractionation schemes were: 7 Gy + 4x3.5 Gy (group 1); 7 Gy + 4x4.5 Gy (group 2); 3x7Gy (group 3) and 3x8Gy (group 4). Local (LFS), nodal (NFS) and metastatic (MFS) recurrence-free survival as well as progression-free survival (PFS) and overall survival (OS) were analyzed. Acute (≤6 months) and late toxicities (>6 months) were reported.
Results
From 2007 to 2018, 191 patients were included. Median follow-up was 57 months [45–132] and median EQD210D90CTVHR was 84, 82 and 90 Gy for groups 2, 3 and 4 respectively (dosimetric data missing for group 1). The 5-year LFS, NFS, MFS, PFS and OS were 85% [81–90], 83% [79–86], 70% [67–73], 61% [57–64] and 75% [69–78] respectively, with no significant difference between the groups. EQD210D90CTVHR < 85 Gy was a prognostic factor for local recurrence in univariate analysis (p = 0.045). The rates of acute/late grade ≥ 2 urinary, digestive and gynecological toxicities were 9%/15%, 3%/15% and 9%/25% respectively.
Conclusion
Bi-fractionated HDR-BT boost seems feasible with good oncological outcome and slightly more toxicity after dose escalation.
Introduction
Worldwide, cervical cancer is the fourth most common cancer among women in terms of incidence and mortality [1], [2]. In 2040, the estimated number of cervical cancers and related deaths will increase by 34% and 44% respectively, making it a major public health problem [3]. According to the SEER database, 35.5% of cervical cancers are locally advanced at diagnosis. The standard of care treatment for locally advanced cervical cancer (LACC) is concurrent radio-chemotherapy (RCT) followed by brachytherapy (BT) [4], [5], [6], [7].
Image-guided adaptive brachytherapy (IGABT) boost is now well-known to be associated with improved pelvic control and overall survival [8], [9], [10], [11]. Different BT implants exist (intra-cavitary with or without interstitial implant) and different dose-rate regimens are used. Low-dose-rate (LDR) BT was the mainstay treatment but was progressively replaced by pulsed-dose-rate (PDR) and high-dose-rate (HDR) BT [12], [13], [14], [15], [16], [17], [18]. While PDR-BT is well defined with a single implant and imaging (CT and/or MRI) the day of the implant, there is no clear consensus for HDR-BT boost schemes [19], [20], [21], [22]. The number of HDR-BT implant procedures, fractions per implant session and imaging are not standardized, either with multiple implants performed during external beam radiotherapy (EBRT) or afterwards [23]. The most commonly used HDR-BT fractionation scheme is 28 Gy in 4 fractions, using 2–4 implants and imaging is often done for each fraction or every two fractions [24], [25], [26], [27]. However, due to anesthesiology human resources and operative room availability, hospitalization duration and imaging resources (MRI), BT organization remains a major issue and there is therefore a need to simplify this procedure as much as possible.
In order to tailor treatment to the organizational constraints of our institution, a twice-a-day (BID) HDR-BT boost scheme has been implemented, based on a single implant and imaging only on day 1. Fractionation schemes have evolved with published data but preservation of patient (pt) comfort during treatment remains crucial while considering local organizational constraints and optimal dose escalation [28], [29]. The purpose of this study was to assess the impact of 4 different HDR-BT fractionation schemes on oncological outcome and toxicity in LACC.
Material and methods
This was an observational, retrospective, single institution study, performed in the Antoine Lacassagne Cancer Center in Nice (France) for patients with LACC receiving a HDR-BT boost after RCT. This study was approved by the Gynecologic Board of Antoine Lacassagne Cancer Center. Before data collection, the consent of all patients was obtained. In accordance with current legislation, data collection was registered at the National Health Data Hub under the number I11200801202020.
Patient features
Patients with a histologically proven LACC stage IB2 to IVA according to FIGO 2018 or stage IB1 to IVA according to FIGO 2009, were retrospectively analyzed in terms of dosimetric data, oncological outcome and toxicity [30], [31]. At diagnosis, patients had undergone clinical cervical, vaginal and rectal examination. Biological test (full blood count, serum SCC antigen), computed tomography scan (CT), pelvic magnetic resonance imaging (MRI) and 18 fluoro-deoxy-glucose positron emission tomography (PET) were performed. Para-aortic lymph node dissection was done for staging at the discretion of physicians. Tumor size was determined either on MRI (maximum width on axial T2-weigthed sequence) or on conization (size of histological tumor if no residual tumor on MRI).
Exclusion criteria were metastasis at time of diagnosis (FIGO 2018 stage IVB), hysterectomy prior to RCT, no concomitant chemotherapy to EBRT and isolated BT schedules.
Treatment features
Concomitant radio-chemotherapy
All patients first received EBRT with concurrent platin-based chemotherapy weekly (minimum 5 courses). EBRT delivered 45/46 Gy (ICRU point) in 25/23 fractions, based on a 3-dimensional conformal technique, with or without modulated intensity, using 6 or 10 MV X-photons.
Since 2013, intensity modulated radiotherapy (IMRT) has been used. Target volumes included the whole cervix with the tumor, uterus, bilateral parametrial tissue, upper or whole vagina (for stage IIIA disease), broad and utero-sacral ligaments. All pelvic lymph nodes were included in the clinical target volume (CTV). Suspicious lymph nodes were considered for concomitant or sequential boost with total equivalent dose (EQD2) of 60 Gy. Some patients were referred to our center and EBRT could be performed in multiple centers. For these patients, clinical and EBRT dosimetric parameters were collected before HDR-BT boost.
High-dose rate brachytherapy boost
HDR-BT was performed in our center at the end of RCT to complete the overall treatment in <63 days [10]. Under general anesthesia, a gynecological examination was performed in order to evaluate the clinical response after RCT.
The procedure used a combined uterine tandem and vaginal cylinder with 8 interstitial needles for all patients for the whole period of time [32]. In case of parametrial invasion, the same applicator was associated with a perineal implant as previously described [33]. After patient recovery, a post-implant planning CT-scan was performed. Since 2014, a post-implant MRI was added to CT-scan to improve the delineation of target volumes as recommended by GYN GEC-ESTRO working group [34].
Dose-volume adaptation was manually achieved using graphical optimization (OncentraBrachy, Elekta Company, Elekta AB, Stockholm, Sweden) by dwell location and time variation. Dose volume parameters for CTVHR and organs at risk (OARs) were calculated and reported according to GYN GEC-ESTRO working group recommendations [35].
From 2007 to 2018, fractionation schemes have evolved according to our experience, organizational constraints and the goal of dose escalation of at least 85 Gy (EQD2) to CTVHR in accordance with published data [28], [29], [36]. Four HDR-BT groups were defined as described in Fig. 1.
Fig. 1.
Evolution of dose prescription through time and fractionation groups.
Patients was treated in bed, after transfer from a non-shielded room to the brachytherapy bunker. After the last BT session, the applicator was removed after analgesic pre-medication, paying attention to the risk of vaginal and perineal bleeding. The patient was discharged from hospital the following day in the absence of early complications.
Total dose EQD2 (EBRT and BT)
Summation of EBRT and BT was performed by calculation of a biologically equivalent dose in 2 Gy (EQD2) using the linear-quadratic model with α/β ratios of 10 Gy for tumor effects and 3 Gy for late normal tissue damage. As HDR-BT boost schemes evolved (number of fractions, dose per fraction and overall BT time), we also calculated the EQD2(t) taking into account the time factor for D90CTVHR and D2cc of OARs for the different HDR-BT fractionation schemes [37], [38], [39]. Dosimetric results were analyzed by comparing EQD2 with and without time factor of BT alone in order to evaluate the potential impact of a BID treatment on oncological outcome and toxicity.
Follow up and evaluation
Immediate bleeding after withdrawal of the interstitial implant was recorded. MRI and PET-CT were combined with clinical examination 2 months after HDR-BT to evaluate tumor response and acute toxicities. Patients were then followed every 3 months for the first 2 years and every 6 months during at least 5 years by the radiation oncologist and the gynecologic surgeon alternatively.
Oncological outcome was analyzed based on local, nodal and metastatic recurrence. Local recurrence occurred in central pelvis (cervix, vagina, parametria) and was confirmed by successive imaging (MRI and/or PET-CT) or biopsy. Nodal recurrence was defined as nodal failure confirmed by imaging, in the pelvis (in or out field) and para-aortic area. Metastatic recurrence was defined as distant failure confirmed on PET-CT.
Toxicity comprised bleeding during hospitalization, urinary, gastro-intestinal and gynecological events. Acute toxicities (within 6 months after treatment) and late toxicities (>6 months after treatment) were recorded using the NCI-Common Toxicity Criteria version 3.0 and 4.0 (CTCAE3.0 and 4.0).
Statistical analysis
Qualitative data are presented as absolute frequency and relative frequency and are compared using Chi2 test or Fisher exact test when necessary.
Quantitative data are presented as median and range. These quantitative data are compared using variance analysis (ANOVA) or Kruskal-Wallis test when needed.
Univariate and multivariate analyses were performed using the Cox regression model to identify prognosis factors for local, nodal and metastatic relapse.
Survival data are presented as Kaplan-Meier curve and survival rate with corresponding 95% CI. These data are compared according to LogRank test.
Local recurrence-free survival (LFS) was defined as the time between date of diagnosis (date of biopsy) and date of first local event. Nodal recurrence-free survival (NFS) was defined as the time between date of diagnosis and date of first nodal event. Metastatic recurrence-free survival (MFS) was defined as the time between date of diagnosis and date of first distant event. Progression free survival (PFS) was defined as the time between date of diagnosis and date of first progression (local, nodal or distant) or death. Overall survival (OS) was defined as the period from the date of diagnosis until date of death.
All statistical analyses were performed at 5% alpha risk in bilateral hypothesis using R.3.6.1 Software for windows.
Results
Patient and treatment features
Between 07/2007 and 04/2018, 191pts were included in this study (Fig. 2). Patient and treatment characteristics are reported in Table 1. Median age was 53 years (27–83), median tumor size at diagnosis was 45 mm (10–84) and most patients had T2b stage cancer (64%). EBRT was mainly performed with IMRT (91%) and median overall treatment time (OTT-from the first session of EBRT to the last session of BT) was 51 days (42–110).
Fig. 2.
Flowchart.
Table 1.
Patient and tumor characteristics according to the different HDR-BT schemes.
| Data | Whole cohortn/%/min–max | Group 1n/%/min–max | Group 2n/%/min–max | Group 3n/%/min–max | Group 4n/%/min–max | p value |
|---|---|---|---|---|---|---|
| Number of pts | 191 (100) | 22 (11) | 29 (15) | 49 (26) | 91 (48) | |
| Age (years) | 53 (27–83) | 52 (37–65) | 45 (27–78) | 56 (33–82) | 56 (27–83) | 0.035 |
| Comorbidities | 0.103 | |||||
| HIV | 3 (2) | 1 (4) | 0 (0) | 2 (4) | 0 (0) | 0.103 |
| Diabetes | 7 (4) | 1 (4) | 0 (0) | 1 (2) | 5 (5) | 0.584 |
| Smoker | 46 (24) | 4 (18) | 5 (17) | 18 (37) | 19 (21) | 0.193 |
| Median BMI (kg/m2) | 23 (16–38) | 21 (16–34) | 24 (16–37) | 24 (16–38) | 23 (16–33) | 0.468 |
| Histology types | 0.872 | |||||
| SCC | 151 (79) | 19 (86) | 23 (79) | 38 (78) | 71 (78) | |
| Adenocarcinoma | 37 (19) | 3 (14) | 6 (21) | 9 (18) | 19 (21) | |
| Others | 3 (2) | 0 (0) | 0 (0) | 2 (4) | 1 (1) | |
| Median tumor size at diagnosis (mm)† | 45 (10–84) | 43 (10–65) | 41 (18–70) | 48 (16–84) | 46 (10–72) | 0.157 |
| Lymph node involvement | 94 (49) | 7 (32) | 9 (31) | 29 (59) | 49 (54) | 0.026 |
| TNM (7th edition) | NA | |||||
| T1b1 | 14 (7) | 3 (14) | 0 (0) | 4 (8) | 7 (8) | |
| T1b2 | 22 (11) | 4 (18) | 8 (28) | 3 (6) | 7 (8) | |
| T2a1 | 6 (3) | 0 (0) | 4 (14) | 0 (0) | 2 (2) | |
| T2a2 | 8 (4) | 2 (9) | 0 (0) | 1 (2) | 5 (5) | |
| T2b | 123 (64) | 13 (59) | 13 (45) | 37 (75) | 60 (66) | |
| T3a | 1 (0.5) | 0 (0) | 0 (0) | 0 (0) | 1 (1) | |
| T3b | 12 (6) | 0 (0) | 4 (14) | 1 (2) | 7 (8) | |
| T4a | 5 (3) | 0 (0) | 0 (0) | 3 (6) | 2 (2) | |
| FIGO2018 | NA | |||||
| FIGO IB2 | 4 (2) | 1 (5) | 0 (0) | 1 (2) | 2 (2) | |
| FIGO IB3 | 17 (9) | 4 (18) | 7 (24) | 2 (4) | 4 (4) | |
| FIGO IIA1 | 2 (1) | 0 (0) | 1 (3) | 0 (0) | 1 (1) | |
| FIGO IIA2 | 5 (3) | 0 (0) | 0 (0) | 0 (0) | 5 (5) | |
| FIGO IIB | 61 (32) | 9 (41) | 10 (34) | 15 (31) | 27 (30) | |
| FIGO IIIA | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | |
| FIGO IIIB | 3 (2) | 0 (0) | 1 (3) | 0 (0) | 2 (2) | |
| FIGO IIIC1 | 74 (39) | 8 (36) | 7 (24) | 21 (43) | 38 (42) | |
| FIGO IIIC2 | 20 (10) | 0 (0) | 3 (10) | 7 (14) | 10 (11) | |
| FIGO IVA | 5 (3) | 0 (0) | 0 (0) | 3 (6) | 2 (2) | |
| Median EBRT total dose (Gy) | 46 (43–50) | 46 (45–50) | 46 (44–50) | 46 (44–50) | 45 (43–50) | 0.006 |
| BT dose (Gy)/#F | 21/5 | 25/5 | 21/3 | 24/3 | ||
| Median OTT (days) | 51 (42–110) | 51 (42–110) | 52 (43–100) | 56 (43–92) | 50 (43–92) | <0.001 |
Group 1: 7 Gy + 4 × 3.5 Gy/Group 2: 7 Gy + 4 × 4.5 Gy/Group 3: 3 × 7 Gy/Group 4: 3 × 8 Gy
BMI: body mass index; SCC: squamous cell carcinoma; EBRT: external beam radiation therapy; BT: brachytherapy; #F: number of fractions; OTT: overall treatment time.
†Tumor size was defined on MRI at diagnosis. If conization was performed before MRI, tumor size was calculated by adding tumor size on MRI and conization.
°Lymph node status was determined by MRI, PET TDM and lymph node dissection at diagnosis. Status N + was predicated on at least one positive finding.
Dosimetric analysis
HDR-BT dosimetric data combined with EBRT according to the different fractionation schemes groups are reported in Table 2 (BT dosimetric data missing for group 1). Median volume CTVHR was 38 cc in group 2, 45 cc in group 3 and 31 cc in group 4 (p < 0.001). Median D90CTVHR was comparable between groups. Median EQD210D90CTVHR were 84, 82 and 90 Gy for group 2, 3 and 4 respectively. In group 4, EQD210D90CTVHR ≥ 85 Gy was achieved for 91% of patients versus 25% and 6% for groups 2 and 3 respectively. Dose constraints to OARs were significantly higher in group 4 for bladder (p = 0.009) and sigmoid (p = 0.041). When taking into account the overall BT time, an increase of 8 to 9% was observed for EQD210D90CTVHR while this increase was 5 to 10% for OARs EQD23D2cc (Table 2 and Supplementary data 1).
Table 2.
Report of median dosimetric data and Equivalent dose at 2 Gy (EQD2) with or without the time factor according to the different HDR-BT fractionation schemes.
| Data | Group 1Median/min–max | Group 2Median/min–max | Group 3Median/min–max | Group 4Median/min–max | p value |
|---|---|---|---|---|---|
| BT aloneCTVHR (cc)D90CTVHR (%)V100CTVHR (%)V150CTVHR (%)V200CTVHR (%) | NA | 38 (29–40)115 (110–127)99 (97–100)48 (22–64)14 (8–23) | 45 (29–82)116 (91–130)99 (84–100)57 (34–67)23 (12–33) | 31 (13–69)117 (88–128)98 (78–100)64 (36–75)28 (9–44) | <0.0010.4750.037<0.001<0.001 |
| ∑BT/EBRT (time factor -)1EQD210D90CTVHR (Gy)EQD23D2ccbladder (Gy)EQD23D2ccrectum (Gy)EQD23D2ccsigmoid (Gy) | NA | 84 (82–90)71 (66–81)61 (55–69)59 (54–67) | 82 (72–89)73 (61–79)62 (54–78)60 (49–76) | 90 (77–98)76 (58–85)61 (47–79)66 (50–79) | <0.0010.0090.3760.041 |
| ∑BT/EBRT (time factor + )2EQD2(t)10D90CTVHR (Gy)EQD2(t)3D2ccbladder (Gy)EQD2(t)3D2ccrectum (Gy)EQD2(t)3D2ccsigmoid (Gy) | NA | 91 (88–96)76 (71–85)65 (59–73)65 (59–72) | 89 (79–96)78 (65–84)67 (58–81)66 (54–81) | 98 (82–104)80 (64–89)66 (53–83)69 (52–81) | NA* |
Group 1: 7 Gy + 4 × 3.5 Gy/Group 2: 7 Gy + 4 × 4.5 Gy/Group 3: 3 × 7 Gy/Group 4: 3 × 8 Gy
Dosimetric data missing for group 1. p value estimated for group 2, 3 and 4.
CTVHR: high-risk clinical target volume; D90%: minimal dose to 90% of the clinical target volume; EBRT: external beam radiotherapy; EQD210: equivalent dose at 2 Gy per fraction for α/β = 10 Gy; D2cc: minimal dose to the most exposed 2 cc of the respective organ at risk; EQD23: equivalent dose at 2 Gy per fraction for α/β = 3 Gy.
1 & 2∑BT/EBRT: Brachytherapy and external beam radiation therapy sum; EQD2 is reported without (1) and with (2) the time factor.
*EQD2 including time factor was calculated for the median, minimum and maximum dose per dose constraint target volume and OAR. The p value is not available for the data thus calculated, according to the formula described (supplementary data).
Oncological outcome
With a MFU of 57 months (45–132), 5-year oncological outcomes for the whole cohort were: local recurrence-free survival (LFS): 85% [95%IC, 80–91%], nodal recurrence-free survival (NFS): 83% [95%IC, 78–89%], metastatic recurrence-free survival (MFS): 70% [95%IC, 63–77%], progression-free survival (PFS): 61% [95%IC, 54–69%] and overall survival (OS): 75% [95%IC, 69–82%]. No statistical difference was observed in oncological outcome between the different fractionation schemes as shown in Table 3 and Fig. 3.
Table 3.
Oncological outcome according to the different HDR-BT fractionation schemes.
| Data | Whole cohort |
Group 1 |
Group 2 |
Group 3 |
Group 4 |
p value |
|---|---|---|---|---|---|---|
| n/%/min–max | n/%/min–max | n/%/min–max | n/%/min–max | n/%/min–max | ||
| Number of pts | 191 (100) | 22 (11) | 29 (15) | 49 (26) | 91 (48) | |
| MFU (months) | 57 (45–132) | 92 (74–132) | 81 (71–118) | 63 (60–76) | 48 (45–52) | <0.001 |
| Recurrence rates | ||||||
| Local | 27 (14) | 4 (18) | 7 (24) | 8 (16) | 8 (9) | 0.141 |
| Nodal | 30 (16) | 5 (23) | 5 (17) | 10 (20) | 10 (11) | 0.302 |
| Metastatic | 54 (28) | 9 (41) | 9 (31) | 14 (29) | 22 (24) | 0.458 |
| 5y-survival rates (95%CI) | ||||||
| LFS | 85 (80–91) | 84 (69–100) | 81 (68–98) | 81 (70–94) | 90 (83–97) | 0.429 |
| NFS | 83 (78–89) | 81 (66–100) | 81 (67–98) | 79 (68–91) | 86 (77–95) | 0.407 |
| MFS | 70 (63–77) | 67 (49–90) | 67 (51–87) | 69 (57–84) | 73 (64–84) | 0.821 |
| PFS | 61 (54–69) | 58 (40–83) | 57 (41–79) | 64 (52–79) | 63 (53–74) | 0.855 |
| OS | 75 (69–82) | 76 (60–97) | 76 (60–95) | 69 (57–84) | 78 (70–88) | 0.688 |
Group 1: 7 Gy + 4 × 3.5 Gy/Group 2: 7 Gy + 4 × 4.5 Gy/Group 3: 3 × 7 Gy/Group 4: 3 × 8 Gy
MFU: median follow up; LFS: local recurrence-free survival; NFS: nodal recurrence-free survival; MFS: metastatic recurrence-free survival; PFS: progression-free survival; OS: overall survival.
Fig. 3.
Survival rates according to high dose rate brachytherapy fractionation schemes: (a) local recurrence free survival, (b) lymph node recurrence free survival, (c) metastatic recurrence free survival, (d) progression free survival, (e) overall survival.
In univariate analysis, EQD210D90CTVHR < 85 Gy (p = 0.045), adenocarcinoma histological type (p = 0.019) and OTT ≥ 50 days (p = 0.014) were prognostic factors for local recurrence. EQD210D90CTVHR < 85 Gy (p = 0.011) was a prognostic factor for nodal recurrence while tumor size (≥5cm) (p = 0.001) was a prognostic factor for metastatic recurrence. In multivariate analysis, independent prognostic factors were adenocarcinoma histological type (p = 0.024) and OTT ≥ 50 days (p = 0.035) for local recurrence, EQD210D90CTVHR < 85 Gy (p = 0.044) for nodal recurrence and tumor size (≥5cm) (p = 0.003) for metastatic recurrence (Supplementary data 2).
Toxicity
Eight patients (4%) presented vaginal bleeding after withdrawal of the applicator, requiring prolonged manual compression with absorbent hemostat. Three of them (2%) required blood transfusion.
Acute (≤6months) and late toxicities (>6months) were reported in Table 4 (and supplementary data 4). Thirty-nine patients (20%) presented acute toxicities grade ≥ 2: 18pts (9%) urinary, 6pts (3%) digestive and 18pts (9%) gynecological. Among them, 7 (4%) presented acute grade 3 toxicities: 3 (2%) urinary, 1 (0.5%) digestive and 5 (3%) gynecological.
Table 4.
Toxicities according to HDR-BT schemes.
| Toxicities* | Whole cohort |
Group 1 |
Group 2 |
Group 3 |
Group 4 |
p value |
|---|---|---|---|---|---|---|
| n/% | n/% | n/% | n/% | n/% | ||
| Grade ≥ 2 | 89 (47) | 13 (59) | 14 (48) | 15 (31) | 47 (52) | 0.061 |
| Acute | 39 (20) | 4 (18) | 6 (21) | 4 (8) | 25 (27) | 0.061 |
| Urinary | 18 (9) | 1 (4) | 4 (14) | 2 (4) | 11 (12) | 0.319 |
| Gastro-intestinal | 6 (3) | 0 (0) | 1 (3) | 0 (0) | 5 (5) | 0.332 |
| Gynecological | 18 (9) | 3 (14) | 2 (7) | 1 (2) | 12 (13) | 0.111 |
| Late | 75 (39) | 12 (54) | 13 (45) | 14 (29) | 36 (40) | 0.181 |
| Urinary | 28 (15) | 5 (23) | 5 (17) | 5 (10) | 13 (14) | 0.519 |
| Gastro-intestinal | 28 (15) | 5 (23) | 1 (3) | 8 (16) | 14 (15) | 0.205 |
| Gynecological | 47 (25) | 8 (36) | 9 (31) | 7 (14) | 23 (25) | 0.163 |
| Grade 3 | 39 (20) | 7 (32) | 8 (28) | 6 (12) | 18 (20) | 0.194 |
| Acute | 7 (4) | 2 (9) | 0 (0) | 0 (0) | 5 (5) | 0.114 |
| Urinary | 3 (2) | 0 (0) | 0 (0) | 0 (0) | 3 (3) | 0.711 |
| Gastro-intestinal | 1 (0.5) | 0 (0) | 0 (0) | 0 (0) | 1 (1) | 1 |
| Gynecological | 5 (3) | 2 (9) | 0 (0) | 0 (0) | 3 (3) | 0.12 |
| Late | 35 (18) | 6 (27) | 8 (28) | 6 (12) | 15 (16) | 0.235 |
| Urinary | 14 (7) | 2 (9) | 3 (10) | 3 (6) | 6 (7) | 0.794 |
| Gastro-intestinal | 12 (6) | 2 (9) | 0 (0) | 5 (10) | 5 (5) | 0.282 |
| Gynecological | 22 (11) | 5 (23) | 6 (21) | 2 (4) | 9 (10) | 0.037 |
Group 1: 7 Gy + 4 × 3.5 Gy/Group 2: 7 Gy + 4 × 4.5 Gy/Group3: 3 × 7 Gy/Group 4: 3 × 8 Gy
*Presented as the number of patients in whom at least one toxicity occurred
Seventy-five (39%) patients presented late toxicities grade ≥ 2: 28pts (15%) urinary, 28pts (15%) digestive and 47pts (25%) gynecological. Among them, 35 (18%) presented late grade 3 toxicities: 14 (7%) urinary, 12 (6%) digestive and 22 (11%) gynecological. Two late grade 4 toxicities were observed (both in group 4): 1pt presented a sigmoid perforation and 1pt presented a sigmoid stenosis. No grade 5 acute and late toxicities were observed. No significant differences were observed between the 4 treatment groups in terms of acute and late toxicities apart from late grade 3 gynecological toxicity (p = 0.037) and a tendency towards higher acute grade ≥ 2 toxicities in group 4 (p = 0.061).
Discussion
BT allows dose escalation leading to improved local control, using either PDR or HDR-BT as LDR is currently no longer used [17]. However, there is no standard HDR-BT scheme in terms of total dose, dose per fraction and time irradiation schedule.
Oncological outcomes reported in this study are comparable to those reported in mono-institutional studies (Supplementary data 3 – p5), with a 3-y LFS: 88% (89–97%), 3-y PFS: 70% (61–80%) and 3-y OS: 78% (64–86%) [40], [26], [41], [25], [42], [43]. Five-year oncological outcomes reported in EMBRACE-I study were 92%, 87%, 68% and 74% for local and nodal control, PFS and OS respectively [11]. Even though we did not observe any statistical difference in terms of efficacy between BT groups, there was a trend towards better local control in group 4 (5y-LFS: 90%) as most patients reached the required GYN GEC-ESTRO dose recommendation of EQD210D90CTVHR ≥ 85 Gy (p < 0.001) [29], [36]. The absence of statistical difference between the different groups may be due to the relatively small number of patients. Furthermore, group 4 pts have the shortest follow-up.
In our study, there was a tendency towards higher acute grade ≥ 2 toxicities in group 4 (p = 0.061) and the two late grade 4 toxicities were also in this group. A higher rate of late grade 3 gynecological toxicities were observed in group 1 and 2 (p = 0.037). After review of the BT dosimetric data, all OARs dosimetric constraints were respected. When comparing toxicities to the literature, patients presenting late grade 3 toxicities in our study versus EMBRACE-1 study were 7% versus 4.7% (urinary), 6% versus 4.3% (gastro-intestinal) and 11% versus 4% (gynecological) respectively [11]. The possible explanations for these differences are:
-
1-
In group 4, the dose per fraction was 8 Gy and the goal for EQD210D90CTVHR ≥ 85 Gy. This meant that D90CTVHR needed to be at least 115% of the prescribed dose. This increase in the prescribed dose for tumor control was detrimental in terms of the dose delivered to OARs because of the difference in α/β ratios. Furthermore, according to the literature, a dose higher than 7 Gy/fraction may result in higher toxicity for HDR-BT [44].
-
2-
In our BT procedure, imaging was done only the first day after implant insertion. During the BT treatment time, displacement of the applicator may occur and not appear clinically observable. Shukla et al. reported mean caudal displacement of 17.4 mm in the case of multifractionated interstitial BT for cervical cancers [45]. These implant movements can impact CTVHR coverage and dose to OARs, explaining the higher toxicity rate [46].
-
3-
We did not take into account the recto-vaginal reference point in our dose optimization and the upper vagina was often part of the target volume delineation with CT scan only used in groups 1 and 2; this could lead to a higher rate of vaginal stenosis [47]. However, this toxicity may be overestimated as it was retrospectively recorded and poorly reported according to CTCAE 3.0 and 4.0.
-
4-
Our BID BT scheme respected a 6-hour interval between fractions, based on general radiobiological principles (repair halftime for normal tissues around 2.5 h) [5]. However, several EBRT studies reported more toxicities with BID schemes and the 6-hour interval between fractions may be insufficient [48], [49]. Therefore, with dose escalation in cervical cancer, this time interval of 6 h may also be too short for tissue repair [50].
-
5-
General calculations of EQD2 and dose constraint recommendations do not take into account an accelerated scheme. When we calculated the EQD2 dose delivered to OARs considering the time factor (Table 2), we observed that the delivered dose was in fact 5 to 10% higher than initially planned. Therefore, more careful consideration is to be taken of dosimetric constraints with BID schemes and these dose constraints to OARs can even be lowered as proposed in EMBRACE-2 protocol [29].
There are several weaknesses in our study. It was a retrospective data collection over a long period of time (from 2007 to 2018), whence some missing data, especially for referred patients from other centers. There were also disparities between treatment delivery (EBRT using 3D technique versus IMRT; use of MRI and dose escalation for BT) and staging (the use of PET-CT and/or para-aortic lymph node dissection) as recommendations and classifications changed during this time lapse. Meanwhile, in our study, calculation of EQD2 including the time factor only considered the time of BT boost and not OTT including EBRT, which is known to be a key prognosis factor [51]. We chose to consider that all patients had similar total treatment time for EBRT to only analyze the impact of variation of BT time. However, EBRT time could vary as some centers used sequential boost for pathological lymph nodes. Multiple variables have been tested for multiple outcome events. However, the number of patients is not that high and especially the numbers for the two first groups are quite low. Such an imbalance bares the probability of influencing the power of the statistical analysis and the strengths of the conclusions.
Nevertheless, the strength of our study is to mimic LDR or PDR-BT for multi-fractionated HDR-BT with a single implant and a single imaging on the first day. Our aim was to strike a balance between achieving optimal dosimetric constraints while improving patient comfort (limiting invasive procedure and hospitalization time) and complying with limited human (anesthesiologists, radiation oncologists, nurses and hospitalization teams) and material resources (imaging, implants and catheters) in addition to the local organizational constraints of our institution. To our knowledge, this is the first study reporting clinical outcomes of different fractionation schemes using a single implant and BID HDR-BT scheme for LACC.
To maintain, and enhance, our local organization on the strength of these results, we modified our HDR-BT protocol in 4 main ways. First, we changed our protocol to 28 Gy in 4 fractions, decreasing dose per fraction to 7 Gy. Second, we increased time interval to 8 h between the BID sessions on day 2 (7 Gy + 2x7Gy + 7 Gy). Third, we systematically checked implant position on day 2 by means of an additional CT-scan done before the 3rd fraction (fusion facilitated by gold seed markers implanted during BT procedure on first day) [52]. Finally, we lowered our dose constraints to OARs as proposed in the EMBRACE-2 protocol while paying more attention to vaginal delineation and constraints.
Conclusion
BID HDR-BT boost seems feasible with good oncological outcome after dose escalation. While achieving these dosimetric constraints should be a mainstay for tumor control, patient comfort and local organizational constraints in terms of human and material resources must be taken into account.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.ctro.2021.10.005.
Appendix A. Supplementary data
The following are the Supplementary data to this article:
References
- 1.World Health Organization. International Agency for Research on Cancer 2021 – GLOBOCAN 2020. Cancer Today n.d. http://gco.iarc.fr.
- 2.Cohen P.A., Jhingran A., Oaknin A., Denny L. Cervical cancer. The Lancet. 2019;393(10167):169–182. doi: 10.1016/S0140-6736(18)32470-X. [DOI] [PubMed] [Google Scholar]
- 3.World Health Organization. International Agency for Research on Cancer 2021 – GLOBOCAN 2020. Cancer Tomorrow n.d. https://gco.iarc.fr/tomorrow.
- 4.Rose P.G., Bundy B.N., Watkins E.B., Thigpen J.T., Deppe G., Maiman M.A., et al. Concurrent cisplatin-based radiotherapy and chemotherapy for locally advanced cervical cancer. N Engl J Med. 1999;340(15):1144–1153. doi: 10.1056/NEJM199904153401502. [DOI] [PubMed] [Google Scholar]
- 5.Viswanathan A.N., Beriwal S., De Los Santos J.F., Demanes D.J., Gaffney D., Hansen J., et al. American Brachytherapy Society consensus guidelines for locally advanced carcinoma of the cervix. Part II: high-dose-rate brachytherapy. Brachytherapy. 2012;11(1):47–52. doi: 10.1016/j.brachy.2011.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Cibula D., Pötter R., Planchamp F., Avall-Lundqvist E., Fischerova D., Haie Meder C., et al. The European Society of Gynaecological Oncology/European Society for Radiotherapy and Oncology/European Society of Pathology guidelines for the management of patients with cervical cancer. Radiother Oncol. 2018;127(3):404–416. doi: 10.1016/j.radonc.2018.03.003. [DOI] [PubMed] [Google Scholar]
- 7.Koh W.-J., Abu-Rustum N.R., Bean S., Bradley K., Campos S.M., Cho K.R., et al. Cervical Cancer, Version 3.2019, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2019;17(1):64–84. doi: 10.6004/jnccn.2019.0001. [DOI] [PubMed] [Google Scholar]
- 8.Sturdza A., Pötter R., Fokdal L.U., Haie-Meder C., Tan L.T., Mazeron R., et al. Image guided brachytherapy in locally advanced cervical cancer: improved pelvic control and survival in RetroEMBRACE, a multicenter cohort study. Radiother Oncol. 2016;120(3):428–433. doi: 10.1016/j.radonc.2016.03.011. [DOI] [PubMed] [Google Scholar]
- 9.Chargari C., Deutsch E., Blanchard P., Gouy S., Martelli H., Guérin F., et al. Brachytherapy: an overview for clinicians. CA A Cancer J Clin. 2019;69(5):386–401. doi: 10.3322/caac.v69.510.3322/caac.21578. [DOI] [PubMed] [Google Scholar]
- 10.Holschneider C.H., Petereit D.G., Chu C., Hsu I.-C., Ioffe Y.J., Klopp A.H., et al. Brachytherapy: a critical component of primary radiation therapy for cervical cancer. Brachytherapy. 2019;18(2):123–132. doi: 10.1016/j.brachy.2018.11.009. [DOI] [PubMed] [Google Scholar]
- 11.Pötter R., Tanderup K., Schmid M.P., Jürgenliemk-Schulz I., Haie-Meder C., Fokdal L.U., et al. MRI-guided adaptive brachytherapy in locally advanced cervical cancer (EMBRACE-I): a multicentre prospective cohort study. Lancet Oncol. 2021;22(4):538–547. doi: 10.1016/S1470-2045(20)30753-1. [DOI] [PubMed] [Google Scholar]
- 12.Charra-Brunaud C., Harter V., Delannes M., Haie-Meder C., Quetin P., Kerr C., et al. Impact of 3D image-based PDR brachytherapy on outcome of patients treated for cervix carcinoma in France: results of the French STIC prospective study. Radiother Oncol. 2012;103(3):305–313. doi: 10.1016/j.radonc.2012.04.007. [DOI] [PubMed] [Google Scholar]
- 13.Chargari C., Magné N., Dumas I., Messai T., Vicenzi L., Gillion N., et al. Physics contributions and clinical outcome with 3D-MRI–based pulsed-dose-rate intracavitary brachytherapy in cervical cancer patients. Int J Radiat Oncol* Biol* Phys. 2009;74(1):133–139. doi: 10.1016/j.ijrobp.2008.06.1912. [DOI] [PubMed] [Google Scholar]
- 14.Brenner D.J., Hall E.J. Conditions for the equivalence of continuous to pulsed low dose rate brachytherapy. Int J Radiat Oncol* Biol* Phys. 1991;20(1):181–190. doi: 10.1016/0360-3016(91)90158-Z. [DOI] [PubMed] [Google Scholar]
- 15.Narayan K., van Dyk S., Bernshaw D., Rajasooriyar C., Kondalsamy-Chennakesavan S. Comparative study of LDR (Manchester System) and HDR image-guided conformal brachytherapy of cervical cancer: patterns of failure late complications, and survival. Int J Radiat Oncol* Biol* Phys. 2009;74(5):1529–1535. doi: 10.1016/j.ijrobp.2008.10.085. [DOI] [PubMed] [Google Scholar]
- 16.Lin A.J., Samson P., Zoberi J., Garcia-Ramirez J., Williamson J.F., Markovina S., et al. Concurrent chemoradiation for cervical cancer: comparison of LDR and HDR brachytherapy. Brachytherapy. 2019;18(3):353–360. doi: 10.1016/j.brachy.2018.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Peiffert D., Hannoun-Lévi J.-M. Évolution de la curiethérapie en France et perspectives. Cancer/Radiothérapie. 2013;17(2):76–80. doi: 10.1016/j.canrad.2013.03.002. [DOI] [PubMed] [Google Scholar]
- 18.Wang X, Liu R, Ma B, Yang K, Tian J, Jiang L, et al. High dose rate versus low dose rate intracavity brachytherapy for locally advanced uterine cervix cancer. In: The Cochrane Collaboration, editor. Cochrane Database of Systematic Reviews, Chichester, UK: John Wiley & Sons, Ltd; 2010, p. CD007563.pub2. 10.1002/14651858.CD007563.pub2. [DOI]
- 19.Castelnau-Marchand P., Chargari C., Maroun P., Dumas I., del Campo E.R., Cao K., et al. Clinical outcomes of definitive chemoradiation followed by intracavitary pulsed-dose rate image-guided adaptive brachytherapy in locally advanced cervical cancer. Gynecol Oncol. 2015;139(2):288–294. doi: 10.1016/j.ygyno.2015.09.008. [DOI] [PubMed] [Google Scholar]
- 20.Lee L.J., Das I.J., Higgins S.A., Jhingran A., Small W., Thomadsen B., et al. American Brachytherapy Society consensus guidelines for locally advanced carcinoma of the cervix. Part III: low-dose-rate and pulsed-dose-rate brachytherapy. Brachytherapy. 2012;11(1):53–57. doi: 10.1016/j.brachy.2011.07.001. [DOI] [PubMed] [Google Scholar]
- 21.Albuquerque K., Hrycushko B.A., Harkenrider M.M., Mayadev J., Klopp A., Beriwal S., et al. Compendium of fractionation choices for gynecologic HDR brachytherapy—An American Brachytherapy Society Task Group Report. Brachytherapy. 2019;18(4):429–436. doi: 10.1016/j.brachy.2019.02.008. [DOI] [PubMed] [Google Scholar]
- 22.Petereit D.G., Pearcey R. Literature analysis of high dose rate brachytherapy fractionation schedules in the treatment of cervical cancer: is there an optimal fractionation schedule? Int J Radiat Oncol* Biol* Phys. 1999;43(2):359–366. doi: 10.1016/S0360-3016(98)00387-3. [DOI] [PubMed] [Google Scholar]
- 23.Kumar M., Thangaraj R., Alva R.C., Koushik K., Ponni A., Achar J.MG. Impact of different dose prescription schedules on EQD2 in high-dose-rate intracavitary brachytherapy of carcinoma cervix. J Contemp Brachyther. 2019;11(2):189–193. doi: 10.5114/jcb.2019.84586. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kirisits C., Pötter R., Lang S., Dimopoulos J., Wachter-Gerstner N., Georg D. Dose and volume parameters for MRI-based treatment planning in intracavitary brachytherapy for cervical cancer. Int J Radiat Oncol* Biol* Phys. 2005;62(3):901–911. doi: 10.1016/j.ijrobp.2005.02.040. [DOI] [PubMed] [Google Scholar]
- 25.Pötter R., Georg P., Dimopoulos J.C.A., Grimm M., Berger D., Nesvacil N., et al. Clinical outcome of protocol based image (MRI) guided adaptive brachytherapy combined with 3D conformal radiotherapy with or without chemotherapy in patients with locally advanced cervical cancer. Radiother Oncol. 2011;100(1):116–123. doi: 10.1016/j.radonc.2011.07.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Nomden C.N., de Leeuw A.A.C., Roesink J.M., Tersteeg R.J.H.A., Moerland M.A., Witteveen P.O., et al. Clinical outcome and dosimetric parameters of chemo-radiation including MRI guided adaptive brachytherapy with tandem-ovoid applicators for cervical cancer patients: a single institution experience. Radiother Oncol. 2013;107(1):69–74. doi: 10.1016/j.radonc.2013.04.006. [DOI] [PubMed] [Google Scholar]
- 27.Jamalludin Z., Min U.N., Ishak W.Z.W., Malik R.A. Preliminary experience on the implementation of computed tomography (CT)-based image guided brachytherapy (IGBT) of cervical cancer using high-dose-rate (HDR) Cobalt-60 source in University of Malaya Medical Centre (UMMC) J Phys: Conf Ser. 2016;694:012016. doi: 10.1088/1742-6596/694/1/012016. [DOI] [Google Scholar]
- 28.Tanderup K., Fokdal L.U., Sturdza A., Haie-Meder C., Mazeron R., van Limbergen E., et al. Effect of tumor dose, volume and overall treatment time on local control after radiochemotherapy including MRI guided brachytherapy of locally advanced cervical cancer. Radiother Oncol. 2016;120(3):441–446. doi: 10.1016/j.radonc.2016.05.014. [DOI] [PubMed] [Google Scholar]
- 29.Pötter R., Tanderup K., Kirisits C., de Leeuw A., Kirchheiner K., Nout R., et al. The EMBRACE II study: the outcome and prospect of two decades of evolution within the GEC-ESTRO GYN working group and the EMBRACE studies. Clin Transl Radiat Oncol. 2018;9:48–60. doi: 10.1016/j.ctro.2018.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Pecorelli S., Zigliani L., Odicino F. Revised FIGO staging for carcinoma of the cervix. Int J Gynecol Obstet. 2009;105(2):107–108. doi: 10.1016/j.ijgo.2009.02.009. [DOI] [PubMed] [Google Scholar]
- 31.Bhatla N., Aoki D., Sharma D.N., Sankaranarayanan R. Cancer of the cervix uteri – FIGO 2018 report. Int J Gynecol Obstet. 2018;143:22–36. doi: 10.1002/ijgo.12611. [DOI] [PubMed] [Google Scholar]
- 32.Hannoun-Levi J.-M., Chand-Fouche M.-E., Gautier M., Dejean C., Marcy M., Fouche Y. Interstitial preoperative high-dose-rate brachytherapy for early stage cervical cancer: dose–volume histogram parameters, pathologic response and early clinical outcome. Brachytherapy. 2013;12(2):148–155. doi: 10.1016/j.brachy.2012.04.007. [DOI] [PubMed] [Google Scholar]
- 33.Bailleux C., Falk A.T., Chand-Fouche M.-E., Gautier M., Barranger E., Hannoun-Levi J.-M. Concomitant cervical and transperineal parametrial high-dose-rate brachytherapy boost for locally advanced cervical cancer. Jcb. 2016;1:23–31. doi: 10.5114/jcb.2016.57535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Haie-Meder C., Pötter R., Van Limbergen E., Briot E., De Brabandere M., Dimopoulos J., et al. Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group☆ (I): concepts and terms in 3D image based 3D treatment planning in cervix cancer brachytherapy with emphasis on MRI assessment of GTV and CTV. Radiother Oncol. 2005;74(3):235–245. doi: 10.1016/j.radonc.2004.12.015. [DOI] [PubMed] [Google Scholar]
- 35.Pötter R., Haie-Meder C., Limbergen E.V., Barillot I., Brabandere M.D., Dimopoulos J., et al. Recommendations from gynaecological (GYN) GEC ESTRO working group (II): concepts and terms in 3D image-based treatment planning in cervix cancer brachytherapy—3D dose volume parameters and aspects of 3D image-based anatomy, radiation physics, radiobiology. Radiother Oncol. 2006;78(1):67–77. doi: 10.1016/j.radonc.2005.11.014. [DOI] [PubMed] [Google Scholar]
- 36.Dimopoulos J.C.A., Pötter R., Lang S., Fidarova E., Georg P., Dörr W., et al. Dose–effect relationship for local control of cervical cancer by magnetic resonance image-guided brachytherapy. Radiother Oncol. 2009;93(2):311–315. doi: 10.1016/j.radonc.2009.07.001. [DOI] [PubMed] [Google Scholar]
- 37.Beskow C., Ågren-Cronqvist A.-K., Lewensohn R., Toma-Dasu I. Clinical Investigations Biological effective dose evaluation and assessment of rectal and bladder complications for cervical cancer treated with radiotherapy and surgery. Jcb. 2012;4:205–212. doi: 10.5114/jcb.2012.32554. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.van Leeuwen C.M., Oei A.L., Crezee J., Bel A., Franken N.A.P., Stalpers L.J.A., et al. The alfa and beta of tumours: a review of parameters of the linear-quadratic model, derived from clinical radiotherapy studies. Radiat Oncol. 2018;13(1) doi: 10.1186/s13014-018-1040-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Gasinska A., Fowler J.F., Lind B.K., Urbanski K. Influence of overall treatment time and radiobiological parameters on biologically effective doses in cervical cancer patients treated with radiation therapy alone. Acta Oncol. 2004;43(7):657–666. doi: 10.1080/02841860410018511. [DOI] [PubMed] [Google Scholar]
- 40.Tinkle C.L., Weinberg V., Chen L.-M., Littell R., Cunha J.A.M., Sethi R.A., et al. Inverse planned high-dose-rate brachytherapy for locoregionally advanced cervical cancer: 4-year outcomes. Int J Radiat Oncol* Biol* Phys. 2015;92(5):1093–1100. doi: 10.1016/j.ijrobp.2015.04.018. [DOI] [PubMed] [Google Scholar]
- 41.Hallock A., Surry K., Batchelar D., VanderSpek L., Yuen J., Hammond A., et al. An early report on outcomes from computed tomographic-based high-dose-rate brachytherapy for locally advanced cervix cancer: a single institution experience. Pract Radiat Oncol. 2011;1(3):173–181. doi: 10.1016/j.prro.2011.01.004. [DOI] [PubMed] [Google Scholar]
- 42.Kang H.-C., Shin K.H., Park S.-Y., Kim J.-Y. 3D CT-based high-dose-rate brachytherapy for cervical cancer: clinical impact on late rectal bleeding and local control. Radiother Oncol. 2010;97(3):507–513. doi: 10.1016/j.radonc.2010.10.002. [DOI] [PubMed] [Google Scholar]
- 43.Gill B.S., Kim H., Houser C.J., Kelley J.L., Sukumvanich P., Edwards R.P., et al. MRI-guided high–dose-rate intracavitary brachytherapy for treatment of cervical cancer: the University of Pittsburgh Experience. Int J Radiat Oncol* Biol* Phys. 2015;91(3):540–547. doi: 10.1016/j.ijrobp.2014.10.053. [DOI] [PubMed] [Google Scholar]
- 44.Orton C.G., Seyedsadr M., Somnay A. Comparison of high and low dose rate remote afterloading for cervix cancer and the importance of fractionation. Int J Radiat Oncol* Biol* Phys. 1991;21(6):1425–1434. doi: 10.1016/0360-3016(91)90316-V. [DOI] [PubMed] [Google Scholar]
- 45.Shukla P., Chopra S., Engineer R., Mahantshetty U., Paul S.N., Phurailatpam R., et al. Quality assurance of multifractionated pelvic interstitial brachytherapy for postoperative recurrences of cervical cancers: a prospective study. Int J Radiat Oncol* Biol* Phys. 2012;82(4):e617–e622. doi: 10.1016/j.ijrobp.2011.11.018. [DOI] [PubMed] [Google Scholar]
- 46.Rey F., Chang C., Mesina C., Dixit N., Kevin Teo B.-K., Lin L.L. Dosimetric impact of interfraction catheter movement and organ motion on MRI/CT guided HDR interstitial brachytherapy for gynecologic cancer. Radiother Oncol. 2013;107(1):112–116. doi: 10.1016/j.radonc.2012.12.013. [DOI] [PubMed] [Google Scholar]
- 47.Kirchheiner K., Nout R.A., Lindegaard J.C., Haie-Meder C., Mahantshetty U., Segedin B., et al. Dose–effect relationship and risk factors for vaginal stenosis after definitive radio(chemo)therapy with image-guided brachytherapy for locally advanced cervical cancer in the EMBRACE study. Radiother Oncol. 2016;118(1):160–166. doi: 10.1016/j.radonc.2015.12.025. [DOI] [PubMed] [Google Scholar]
- 48.Whelan T.J., Julian J.A., Berrang T.S., Kim D.-H., Germain I., Nichol A.M., et al. External beam accelerated partial breast irradiation versus whole breast irradiation after breast conserving surgery in women with ductal carcinoma in situ and node-negative breast cancer (RAPID): a randomised controlled trial. The Lancet. 2019;394(10215):2165–2172. doi: 10.1016/S0140-6736(19)32515-2. [DOI] [PubMed] [Google Scholar]
- 49.Bentzen S.M., Saunders M.I., Dische S. Repair halftimes estimated from observations of treatment-related morbidity after CHART or conventional radiotherapy in head and neck cancer. Radiother Oncol. 1999;53(3):219–226. doi: 10.1016/S0167-8140(99)00151-6. [DOI] [PubMed] [Google Scholar]
- 50.Orton C.G. High-dose-rate brachytherapy may be radiobiologically superior to low-dose rate due to slow repair of late-responding normal tissue cells. Int J Radiat Oncol* Biol* Phys. 2001;49(1):183–189. doi: 10.1016/S0360-3016(00)00810-5. [DOI] [PubMed] [Google Scholar]
- 51.Sturdza A.E., Pötter R., Kossmeier M., Kirchheiner K., Mahantshetty U., Haie-Meder C., et al. Nomogram predicting overall survival in patients with locally advanced cervical cancer treated with radiochemotherapy including image-guided brachytherapy: a retro-EMBRACE study. Int J Radiat Oncol* Biol* Phys. 2021;111(1):168–177. doi: 10.1016/j.ijrobp.2021.04.022. [DOI] [PubMed] [Google Scholar]
- 52.Ostyn M., Burke A.M., Fields E., Todor D. Inter-fractional variation of markers and applicators in single-implant high-dose-rate interstitial brachytherapy for gynecologic malignancies. Brachytherapy. 2021;20(4):771–780. doi: 10.1016/j.brachy.2021.03.011. [DOI] [PubMed] [Google Scholar]
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